diff --git a/go/.gitignore b/go/.gitignore new file mode 100644 index 0000000..d3c0c92 --- /dev/null +++ b/go/.gitignore @@ -0,0 +1,61 @@ +# Binaries for programs and plugins +*.exe +*.exe~ +*.dll +*.so +*.dylib + +# Test binary, built with `go test -c` +*.test + +# Output of the go coverage tool, specifically when used with LiteIDE +*.out + +# Dependency directories (remove the comment below to include it) +# vendor/ + +# Go workspace file +go.work + +# Compiled binaries +bin/ + +# Build output +dist/ + +# Environment files +.env +config.env + +# IDE files +.vscode/ +.idea/ +*.swp +*.swo +*~ + +# OS generated files +.DS_Store +.DS_Store? +._* +.Spotlight-V100 +.Trashes +ehthumbs.db +Thumbs.db + +# Logs +*.log + +# Temporary files +tmp/ +temp/ + +# Coverage reports +coverage.html +coverage.out + +# Exports directory +exports/ + +# Test cache +.cache/ \ No newline at end of file diff --git a/go/INSTALL.md b/go/INSTALL.md new file mode 100644 index 0000000..45e0459 --- /dev/null +++ b/go/INSTALL.md @@ -0,0 +1,188 @@ +# Installation Guide + +This guide covers installation and setup for TinyTroupe Go, a Go port of Microsoft's TinyTroupe multiagent persona simulation toolkit. + +## Prerequisites + +### Go Installation + +**macOS (Homebrew):** +```bash +brew install go +``` + +**Other platforms:** +Download and install Go from [golang.org](https://golang.org/dl/) + +**Verify installation:** +```bash +go version +``` + +## Project Setup + +### 1. Clone the Repository and go to correct directory +```bash +git clone https://github.com/microsoft/TinyTroupe.git +cd TinyTroupe/go +``` + +### 2. Environment Check (Important!) +```bash +make env-check +``` + +This will check for potential Go environment issues. If you see warnings about GOPATH, run: +```bash +make env-fix +``` + +### 3. Install Dependencies +```bash +make deps +``` + +**The Makefile automatically handles GOPATH issues** - if your project is located within your `$GOPATH` directory, it will automatically use a workaround to ensure module mode works correctly. + +### 4. Build the Project +```bash +make build +``` + +### 5. Run Tests +```bash +make test +``` + +## Configuration + +### Environment Variables + +For LLM-powered functionality, set up your API credentials: + +**OpenAI:** +```bash +export OPENAI_API_KEY="your-api-key-here" +``` + +**Azure OpenAI:** +```bash +export AZURE_OPENAI_ENDPOINT="your-endpoint" +export AZURE_OPENAI_KEY="your-azure-key" +``` + +### Configuration File + +Copy the example configuration: +```bash +cp config.example.env config.env +``` + +Edit `config.env` with your specific settings. + +## Verification + +### Testing OpenAI Integration + +After setting up your `.env` file with `OPENAI_API_KEY`, test the integration with these recommended examples: + +**1. Simple OpenAI API Test:** +```bash +# Direct OpenAI API call - fastest test +./bin/simple_openai_example +``` + +**2. Basic Agent Functionality:** +```bash +# Create and examine agents (works without API key) +./bin/agent_creation + +# LLM-powered agent conversation (requires API key) +./bin/simple_chat +``` + +**3. Advanced Examples:** +```bash +# Run all examples +make examples + +# Individual advanced examples +./bin/product_brainstorming +./bin/synthetic_data_generation +./bin/ab_testing +``` + +### Interactive Demo +```bash +make demo +``` + +**Note:** Examples work with mock responses without API keys, but require `OPENAI_API_KEY` for actual LLM interaction. Start with `simple_openai_example` to verify your API setup. + +## Development Setup + +### Code Quality Tools +```bash +# Install linting tools +make lint + +# Format code +make format + +# Run all quality checks +make check +``` + +### Testing +```bash +# Run tests with coverage +make test-coverage + +# Test specific package +go test -v ./pkg/agent/... +``` + +## Troubleshooting + +### Common Issues + +1. **Missing Go modules:** Run `make deps` to install dependencies +2. **Build failures:** Ensure Go version is 1.19 or higher +3. **API errors:** Verify your `OPENAI_API_KEY` is set correctly +4. **Test failures:** Check that all dependencies are installed +5. **GOPATH warnings:** If you see `go: warning: ignoring go.mod in $GOPATH`, run `make env-check` followed by `make env-fix`. The Makefile automatically handles this issue, but you can also manually resolve it by moving the project outside `$GOPATH` or setting `export GOPATH=""` + +### Environment Issues + +**If `make deps` fails:** +1. Run `make env-check` to diagnose the issue +2. Run `make env-fix` to apply automatic fixes +3. Try `make deps` again + +**If Go modules aren't working:** +```bash +# Force module mode +export GO111MODULE=on +make deps +``` + +**If still having issues:** +```bash +# Check your Go environment +go env +# Look for GOPATH, GOROOT, GO111MODULE settings +``` + +### Getting Help + +- Check the main [README.md](README.md) for usage examples +- Review [CLAUDE.md](CLAUDE.md) for development guidelines +- Run `make help` to see available commands + +## Next Steps + +After installation: +1. Explore the examples in `examples/` +2. Review agent definitions in `examples/agents/` +3. Try creating your own agent personas +4. Run the interactive demo to see the system in action \ No newline at end of file diff --git a/go/Makefile b/go/Makefile new file mode 100644 index 0000000..40bbb83 --- /dev/null +++ b/go/Makefile @@ -0,0 +1,216 @@ +# TinyTroupe Go Makefile + +.PHONY: build test clean demo lint deps help + +# Go parameters +GOCMD=go +GOBUILD=$(GOCMD) build +GOCLEAN=$(GOCMD) clean +GOTEST=$(GOCMD) test +GOGET=$(GOCMD) get +GOMOD=$(GOCMD) mod +GOFMT=gofmt +GOVET=$(GOCMD) vet + +# Build targets +DEMO_BINARY=./bin/demo +DEMO_SOURCE=./cmd/demo +EXAMPLES_BINARY=./bin/agent_creation +EXAMPLES_SOURCE=./examples + +# Default target +all: deps test build + +## help: Display this help message +help: + @echo "Available targets:" + @grep -E '^##.*:' $(MAKEFILE_LIST) | sed 's/##\s*\([^:]*\):\s*\(.*\)/ \1: \2/' + +## deps: Download dependencies +deps: + @echo "Ensuring Go module mode is enabled..." + @if echo "$$PWD" | grep -q "$$(go env GOPATH)"; then \ + echo "WARNING: Current directory is inside GOPATH ($$GOPATH)"; \ + echo "Forcing module mode by setting different GOPATH..."; \ + GOPATH=/tmp/gopath-temp GO111MODULE=on $(GOMOD) download; \ + GOPATH=/tmp/gopath-temp GO111MODULE=on $(GOMOD) tidy; \ + echo "✅ Dependencies downloaded successfully (warnings about go.mod in GOPATH are now resolved)"; \ + else \ + $(GOMOD) download; \ + $(GOMOD) tidy; \ + echo "✅ Dependencies downloaded successfully"; \ + fi + +## build: Build all binaries +build: deps + mkdir -p bin + $(GOBUILD) -o $(DEMO_BINARY) $(DEMO_SOURCE) + $(GOBUILD) -o $(EXAMPLES_BINARY) examples/agent_creation.go + $(GOBUILD) -o ./bin/simple_chat examples/simple_chat.go + $(GOBUILD) -o ./bin/agent_validation examples/agent_validation.go + $(GOBUILD) -o ./bin/product_brainstorming examples/product_brainstorming.go + $(GOBUILD) -o ./bin/synthetic_data_generation examples/synthetic_data_generation.go + $(GOBUILD) -o ./bin/ab_testing examples/ab_testing.go + $(GOBUILD) -o ./bin/simple_openai_example examples/simple_openai_example.go + $(GOBUILD) -o ./bin/document_creation examples/document_creation.go + +## test: Run tests +test: + $(GOTEST) -v ./pkg/... ./cmd/... + +## test-coverage: Run tests with coverage +test-coverage: + $(GOTEST) -v -coverprofile=coverage.out ./pkg/... ./cmd/... + $(GOCMD) tool cover -html=coverage.out -o coverage.html + @echo "Coverage report generated: coverage.html" + +## lint: Run linters +lint: + $(GOFMT) -l -s . + $(GOVET) ./... + +## format: Format code +format: + $(GOFMT) -l -s -w . + +## examples: Run all example programs +examples: build + @echo "=== Running TinyTroupe Go Examples ===" + @echo "" + @echo "1. Agent Creation Example:" + $(EXAMPLES_BINARY) + @echo "" + @echo "2. Simple Chat Example:" + ./bin/simple_chat + @echo "" + @echo "3. Agent Validation Example:" + ./bin/agent_validation + @echo "" + @echo "4. Product Brainstorming Example:" + ./bin/product_brainstorming + @echo "" + @echo "5. Synthetic Data Generation Example:" + ./bin/synthetic_data_generation + @echo "" + @echo "6. A/B Testing Example:" + ./bin/ab_testing + @echo "" + @echo "=== All Examples Complete ===" + +## demo: Run the demo (requires OPENAI_API_KEY) +demo: build + @if [ -z "$(OPENAI_API_KEY)" ]; then \ + echo "Error: OPENAI_API_KEY environment variable is required"; \ + echo "Please set it with: export OPENAI_API_KEY=your_key_here"; \ + exit 1; \ + fi + $(DEMO_BINARY) + +## clean: Clean build artifacts +clean: + $(GOCLEAN) + rm -rf bin/ + rm -f coverage.out coverage.html + +## check: Run all checks (format, lint, test) +check: format lint test + +## init: Initialize project dependencies +init: + @echo "Initializing Go module..." + @if echo "$$PWD" | grep -q "$$(go env GOPATH)"; then \ + echo "WARNING: Current directory is inside GOPATH ($$GOPATH)"; \ + echo "Forcing module mode for initialization..."; \ + GOPATH=/tmp/gopath-temp GO111MODULE=on $(GOMOD) init github.com/microsoft/TinyTroupe/go || true; \ + GOPATH=/tmp/gopath-temp GO111MODULE=on $(GOGET) github.com/sashabaranov/go-openai; \ + else \ + $(GOMOD) init github.com/microsoft/TinyTroupe/go || true; \ + $(GOGET) github.com/sashabaranov/go-openai; \ + fi + +## docker-build: Build Docker image +docker-build: + docker build -t tinytroupe-go . + +## docker-run: Run Docker container (requires OPENAI_API_KEY) +docker-run: + docker run --rm -e OPENAI_API_KEY=$(OPENAI_API_KEY) tinytroupe-go + +## analyze-deps: Analyze dependencies for a module (usage: make analyze-deps MODULE=pkg/agent) +analyze-deps: + @if [ -z "$(MODULE)" ]; then \ + echo "Usage: make analyze-deps MODULE=pkg/module-name"; \ + echo "Example: make analyze-deps MODULE=pkg/agent"; \ + exit 1; \ + fi + go run cmd/analyze-deps/analyze-deps.go $(MODULE) + +## compare-apis: Compare APIs between two modules (usage: make compare-apis OLD=pkg/old NEW=pkg/new) +compare-apis: + @if [ -z "$(OLD)" ] || [ -z "$(NEW)" ]; then \ + echo "Usage: make compare-apis OLD=pkg/old-module NEW=pkg/new-module"; \ + echo "Example: make compare-apis OLD=pkg/agent NEW=pkg/agent_v2"; \ + exit 1; \ + fi + go run cmd/compare-apis/compare-apis.go $(OLD) $(NEW) + +## migration-status: Show migration status for all modules +migration-status: + @echo "📊 TinyTroupe Go Migration Status" + @echo "==================================" + @echo "" + @echo "✅ Phase 0 (Complete):" + @echo " • pkg/agent" + @echo " • pkg/config" + @echo " • pkg/environment" + @echo " • pkg/memory" + @echo " • pkg/openai" + @echo "" + @echo "🆕 Phase 1 (Foundation):" + @echo " • pkg/control - Interface defined" + @echo " • pkg/factory - Complete" + @echo " • pkg/utils - Complete" + @echo " • pkg/validation - Complete" + @echo "" + @echo "🚧 Phase 2 (Advanced):" + @echo " • pkg/enrichment - Placeholder" + @echo " • pkg/extraction - Placeholder" + @echo " • pkg/tools - Placeholder" + @echo " • pkg/profiling - Placeholder" + @echo "" + @echo "⏳ Phase 3 (UX):" + @echo " • pkg/ui - Placeholder" + @echo " • pkg/steering - Placeholder" + @echo " • pkg/experimentation - Placeholder" + +# Development targets +.PHONY: dev-setup env-check env-fix +dev-setup: env-check deps + @echo "Development environment setup complete" + @echo "Run 'make help' to see available commands" + +## env-check: Check Go environment configuration +env-check: + @echo "=== Go Environment Check ===" + @echo "Go version: $$(go version)" + @echo "GOROOT: $$(go env GOROOT)" + @echo "GOPATH: $$(go env GOPATH)" + @echo "Current directory: $$PWD" + @echo "Module mode: $$(go env GO111MODULE)" + @if echo "$$PWD" | grep -q "$$(go env GOPATH)"; then \ + echo "⚠️ WARNING: Project is inside GOPATH - this may cause module issues"; \ + echo " Consider running 'make env-fix' or moving project outside GOPATH"; \ + else \ + echo "✅ Project location is good (outside GOPATH)"; \ + fi + @echo "==========================" + +## env-fix: Fix common Go environment issues +env-fix: + @echo "=== Fixing Go Environment ===" + @echo "Setting GO111MODULE=on to force module mode..." + @echo "export GO111MODULE=on" >> ~/.bashrc || echo "export GO111MODULE=on" >> ~/.zshrc || true + @echo "✅ Added GO111MODULE=on to shell config" + @echo "💡 Recommended: Move project outside GOPATH or unset GOPATH" + @echo " Run: export GOPATH=\"\" or move to ~/projects/tinytroupe-go" + @echo "==========================" \ No newline at end of file diff --git a/go/README.md b/go/README.md new file mode 100644 index 0000000..bf6c421 --- /dev/null +++ b/go/README.md @@ -0,0 +1,309 @@ +# TinyTroupe Go + +A Go port of Microsoft's [TinyTroupe](https://github.com/microsoft/TinyTroupe) - an LLM-powered multiagent persona simulation toolkit for imagination enhancement and business insights. + +## Table of Contents +- [About](#about) +- [Key Features](#key-features) +- [Getting Started](#getting-started) +- [Examples](#examples) +- [Sample Runs](#sample-runs) +- [Project Status](#project-status) +- [Development](#development) +- [Contributing](#contributing) +- [License](#license) + +## About + +TinyTroupe allows simulation of people with specific personalities, interests, and goals using Large Language Models (LLMs). This Go port aims to provide the same capabilities with Go's performance and concurrency benefits, enabling you to create AI-powered simulations for business insights, product testing, and creative applications. + +### Why Go? + +- **Performance**: Better memory management and execution speed +- **Concurrency**: Leverage Go's goroutines for parallel agent simulation +- **Type Safety**: Compile-time error detection and stronger guarantees +- **Deployment**: Single binary deployment with no runtime dependencies +- **Ecosystem**: Rich standard library and growing AI/ML ecosystem + +## Key Features + +### Core Components +- **TinyPerson**: Simulated agents with detailed personas, memories, and behaviors +- **TinyWorld**: Environments where agents can interact and evolve +- **Memory Management**: Sophisticated memory systems with consolidation and retrieval +- **Agent Factories**: Template-based agent creation with validation +- **Simulation Control**: Advanced orchestration and lifecycle management + +### Business Applications +- **Advertisement Evaluation**: Test marketing messages with simulated audiences +- **Software Testing**: Generate diverse user scenarios and feedback +- **Product Development**: Brainstorm ideas and validate concepts +- **Market Research**: Simulate focus groups and customer interviews +- **Document Creation**: Generate business proposals, reports, and strategic content +- **Synthetic Data Generation**: Create realistic datasets for training and testing + +### Technical Features +- **Multi-Provider LLM Support**: OpenAI, Azure OpenAI, and extensible for others +- **Concurrent Execution**: Parallel agent processing using goroutines +- **Structured Configuration**: Environment-based configuration with validation +- **Comprehensive Testing**: High test coverage with benchmarks +- **Developer Tools**: Migration utilities, dependency analysis, and profiling + +## Getting Started + +### Prerequisites +- Go 1.20 or later +- OpenAI API key or Azure OpenAI credentials (for LLM-powered examples) + +### Installation + +```bash +# Clone the repository +git clone https://github.com/microsoft/TinyTroupe +cd TinyTroupe/go + +# Install dependencies +make deps + +# Run tests +make test + +# Build all examples +make build +``` + +### Configuration + +For examples that use actual LLMs, set your OpenAI API key: +```bash +export OPENAI_API_KEY=your_openai_api_key_here +``` + +Or copy and edit the example configuration: +```bash +cp config.example.env .env +# Edit .env with your configuration +``` + +### Quick Start + +#### 1. Run the Demo +```bash +# Interactive demo (requires API key) +make demo +``` + +#### 2. Run All Examples +```bash +# Run all example programs +make examples +``` + +#### 3. Programmatic Usage +```go +package main + +import ( + "context" + "fmt" + "github.com/microsoft/TinyTroupe/go/pkg/agent" + "github.com/microsoft/TinyTroupe/go/pkg/config" + "github.com/microsoft/TinyTroupe/go/pkg/environment" +) + +func main() { + cfg := config.DefaultConfig() + + // Create agents with personas + alice := agent.NewTinyPerson("Alice", cfg) + alice.Define("age", 25) + alice.Define("occupation", "Software Engineer") + alice.Define("interests", []string{"AI", "music", "cooking"}) + + bob := agent.NewTinyPerson("Bob", cfg) + bob.Define("age", 30) + bob.Define("occupation", "Data Scientist") + bob.Define("interests", []string{"machine learning", "hiking"}) + + // Create world and setup interaction + world := environment.NewTinyWorld("Office", cfg) + world.AddAgent(alice) + world.AddAgent(bob) + world.MakeEveryoneAccessible() + + // Start conversation + ctx := context.Background() + alice.ListenAndAct(ctx, "Hi Bob, how's your day going?", nil) + + // Run simulation for 3 steps + world.Run(ctx, 3, nil) +} +``` + +## Examples + +This repository includes comprehensive examples demonstrating various TinyTroupe capabilities: + +| Example | Description | Key Features | +|---------|-------------|--------------| +| [`simple_chat.go`](examples/simple_chat.go) | Basic conversation between two agents | Agent interaction, environment setup | +| [`agent_creation.go`](examples/agent_creation.go) | Different ways to create and configure agents | JSON loading, programmatic creation | +| [`agent_validation.go`](examples/agent_validation.go) | Agent validation and error handling | Validation system, error recovery | +| [`product_brainstorming.go`](examples/product_brainstorming.go) | Multi-agent product ideation session | Collaborative thinking, idea generation | +| [`synthetic_data_generation.go`](examples/synthetic_data_generation.go) | Generate synthetic user data | Data extraction, pattern generation | +| [`ab_testing.go`](examples/ab_testing.go) | A/B testing with simulated users | Experimental design, statistical analysis | +| [`document_creation.go`](examples/document_creation.go) | Document creation using agent tools | Tool integration, business content generation | + +### Agent Assets +- **Pre-defined Agents**: [`examples/agents/`](examples/agents/) contains ready-to-use agent personas +- **Business Personas**: [`examples/personas/`](examples/personas/) provides detailed business role templates +- **Agent Fragments**: [`examples/fragments/`](examples/fragments/) provides personality components for customization + +### Python Examples Migration Status +The following Python notebook examples are planned for Go implementation: + +| Python Notebook | Go Example | Status | +|------------------|------------|--------| +| Simple Chat.ipynb | ✅ `simple_chat.go` | Complete | +| Creating and Validating Agents.ipynb | ✅ `agent_validation.go` | Complete | +| Product Brainstorming.ipynb | ✅ `product_brainstorming.go` | Complete | +| Synthetic Data Generation.ipynb | ✅ `synthetic_data_generation.go` | Complete | +| A/B Testing scenarios | ✅ `ab_testing.go` | Complete | +| Bottled Gazpacho Market Research | 🚧 `gazpacho_market_research.go` | Planned | +| Travel Product Market Research | 🚧 `travel_market_research.go` | Planned | +| Story telling (long narratives) | 🚧 `story_telling.go` | Planned | + +## Sample Runs + +Explore the [`examples/sample-runs/`](examples/sample-runs/) directory to see actual output from each example: + +- [`simple_chat.log`](examples/sample-runs/simple_chat.log) - Basic agent conversation +- [`agent_creation.log`](examples/sample-runs/agent_creation.log) - Agent creation patterns +- [`agent_validation.log`](examples/sample-runs/agent_validation.log) - Validation scenarios +- [`product_brainstorming.log`](examples/sample-runs/product_brainstorming.log) - Multi-agent brainstorming +- [`synthetic_data_generation.log`](examples/sample-runs/synthetic_data_generation.log) - Data generation output +- [`ab_testing.log`](examples/sample-runs/ab_testing.log) - A/B testing results +- [`document_creation.log`](examples/sample-runs/document_creation.log) - Tool-based document generation + +These logs show the exact output you can expect when running the examples and demonstrate the simulation capabilities. + +## Project Status + +🚧 **Work in Progress** - This is an active port implementing core functionality with high fidelity to the original Python implementation. + +### ✅ Implemented (Core Foundation) +- **Agent System**: TinyPerson with personas, memory, and behavior +- **Environment System**: TinyWorld with agent interaction and state management +- **Memory Management**: Episodic memory with retrieval and consolidation +- **Configuration**: Environment-based config with validation +- **LLM Integration**: OpenAI and Azure OpenAI support +- **Agent Factories**: Template-based creation with JSON support +- **Validation System**: Comprehensive input and agent state validation +- **Tool Integration**: Document creation, data export, and agent tool system +- **Business Personas**: Rich templates for realistic business simulations +- **Utilities**: String manipulation, logging, time handling, random generation + +### 🚧 In Progress (Advanced Features) +- **Enrichment System**: Data augmentation and context enhancement +- **Performance Profiling**: Monitoring and bottleneck identification +- **Advanced Tool Ecosystem**: Extended tool library and integrations + +### ⏳ Planned (User Experience) +- **UI Components**: Web interface and visualization tools +- **Behavior Steering**: Real-time modification and control +- **Experimentation Framework**: A/B testing and hypothesis testing +- **Advanced Examples**: Complex multi-agent scenarios + +See [`MIGRATION_PLAN.md`](MIGRATION_PLAN.md) for detailed technical migration roadmap and implementation phases. + +## Development + +### Project Structure +``` +pkg/ +├── agent/ # TinyPerson implementation and behaviors +├── config/ # Configuration management +├── control/ # Simulation control and orchestration +├── environment/ # TinyWorld and environment management +├── factory/ # Agent creation patterns and templates +├── memory/ # Memory systems and consolidation +├── openai/ # LLM provider integration +├── tools/ # Agent tool system and implementations +├── utils/ # Common utilities and helpers +├── validation/ # Input validation and error handling +└── ... # Additional modules (see MIGRATION_PLAN.md) +``` + +### Development Commands +```bash +# Install dependencies +make deps + +# Run tests with coverage +make test-coverage + +# Lint and format code +make lint +make format + +# Build all binaries +make build + +# Run all examples +make examples + +# Migration utilities +make analyze-deps MODULE=pkg/agent +make migration-status +``` + +### Quality Standards +- **Test Coverage**: >80% for all modules +- **Linting**: Code passes `golangci-lint` checks +- **Documentation**: All public APIs documented +- **Error Handling**: Explicit error handling with typed errors +- **Performance**: Benchmarks and profiling for optimization + +### Migration Tools +For developers working on the Python-to-Go migration: + +```bash +# Analyze module dependencies +make analyze-deps MODULE=pkg/module-name + +# Create new module with template +./scripts/migrate-module.sh new-module 2 + +# Compare API compatibility +make compare-apis OLD=pkg/old NEW=pkg/new + +# Check overall migration status +make migration-status +``` + +## Contributing + +This project welcomes contributions! Whether you're: +- Porting features from the Python implementation +- Adding Go-specific optimizations +- Improving documentation and examples +- Fixing bugs or adding tests + +### Getting Started with Contributing +1. Check the [migration plan](MIGRATION_PLAN.md) for priority areas +2. Fork the repository and create a feature branch +3. Follow the existing code patterns and quality standards +4. Add tests for any new functionality +5. Update documentation as needed +6. Submit a pull request with a clear description + +### Reference +- Original TinyTroupe: https://github.com/microsoft/TinyTroupe +- Python documentation and examples for feature reference +- Go best practices: https://golang.org/doc/effective_go.html + +## License + +MIT License - same as the original TinyTroupe project. + +This project maintains compatibility with the original TinyTroupe while leveraging Go's strengths for better performance, type safety, and deployment simplicity. \ No newline at end of file diff --git a/go/TUTORIAL.md b/go/TUTORIAL.md new file mode 100644 index 0000000..acfa0ea --- /dev/null +++ b/go/TUTORIAL.md @@ -0,0 +1,663 @@ +# TinyTroupe Go Tutorial + +Welcome to TinyTroupe Go! This tutorial will guide you through the essential concepts and provide hands-on examples to get you started with AI-powered persona simulation. + +## Table of Contents + +1. [What is TinyTroupe?](#what-is-tinytroupe) +2. [Prerequisites](#prerequisites) +3. [Quick Setup](#quick-setup) +4. [Core Concepts](#core-concepts) +5. [Your First Agent](#your-first-agent) +6. [Agent Interactions](#agent-interactions) +7. [Working with Environments](#working-with-environments) +8. [Advanced Features](#advanced-features) +9. [Real-World Examples](#real-world-examples) +10. [Best Practices](#best-practices) +11. [Troubleshooting](#troubleshooting) + +## What is TinyTroupe? + +TinyTroupe is a multi-agent persona simulation toolkit that uses Large Language Models (LLMs) to create realistic AI agents with distinct personalities, memories, and behaviors. Think of it as creating digital personas that can: + +- **Simulate realistic conversations** between different personality types +- **Test products and ideas** with diverse user perspectives +- **Generate synthetic data** for training and research +- **Brainstorm solutions** from multiple viewpoints +- **Create market research scenarios** without real participants + +### Why Use the Go Version? + +- **Better Performance**: Faster execution and lower memory usage +- **Type Safety**: Compile-time error detection and robust APIs +- **Concurrency**: Built-in support for parallel agent simulation +- **Easy Deployment**: Single binary with no runtime dependencies +- **Production Ready**: Suitable for high-scale simulations + +## Prerequisites + +- **Go 1.20+** - [Install Go](https://golang.org/doc/install) +- **OpenAI API Key** - [Get one here](https://platform.openai.com/api-keys) +- **Basic Go knowledge** - Understanding of structs, interfaces, and goroutines helps + +## Quick Setup + +### 1. Get the Code + +```bash +git clone https://github.com/microsoft/TinyTroupe +cd TinyTroupe/go +``` + +### 2. Install Dependencies + +```bash +make deps +``` + +### 3. Set Your API Key + +```bash +export OPENAI_API_KEY=your_openai_api_key_here +``` + +### 4. Test the Installation + +```bash +# Run tests to verify everything works +make test + +# Try a simple example +make examples +``` + +### 5. Run Your First Demo + +```bash +make demo +``` + +If everything is working, you should see agents having a conversation! + +## Core Concepts + +### Agents (TinyPerson) + +An **agent** is a simulated person with: +- **Persona**: Age, occupation, personality traits, interests +- **Memory**: Remembers conversations and experiences +- **Behavior**: Acts according to their personality +- **Goals**: Has objectives that drive their actions + +### Environments (TinyWorld) + +An **environment** is where agents interact: +- **Shared Space**: All agents can communicate +- **State Management**: Tracks conversation history +- **Orchestration**: Manages turn-taking and simulation flow + +### Memory System + +Agents have sophisticated memory: +- **Episodic Memory**: Remembers specific events and conversations +- **Consolidation**: Summarizes long conversations into key points +- **Retrieval**: Recalls relevant memories during interactions + +### Tools + +Agents can use tools to: +- **Create documents** (reports, proposals, etc.) +- **Extract data** from conversations +- **Perform calculations** or analyses +- **Interact with external systems** + +## Your First Agent + +Let's create a simple agent step by step. + +### Example 1: Basic Agent Creation + +```go +package main + +import ( + "fmt" + "github.com/microsoft/TinyTroupe/go/pkg/agent" + "github.com/microsoft/TinyTroupe/go/pkg/config" +) + +func main() { + // Create configuration + cfg := config.DefaultConfig() + + // Create an agent + alice := agent.NewTinyPerson("Alice", cfg) + + // Define personality traits + alice.Define("age", 28) + alice.Define("occupation", "Product Manager") + alice.Define("nationality", "American") + alice.Define("personality", map[string]interface{}{ + "openness": "high", + "extraversion": "medium", + "analytical": "high", + }) + alice.Define("interests", []string{"technology", "design", "coffee"}) + alice.Define("goals", []string{ + "launch successful products", + "understand user needs", + "work with great teams", + }) + + fmt.Printf("Created agent: %s\n", alice.Name) + fmt.Printf("Age: %d\n", alice.Persona.Age) + fmt.Printf("Occupation: %s\n", alice.Persona.Occupation) + fmt.Printf("Interests: %v\n", alice.Persona.Interests) +} +``` + +### Example 2: Loading from JSON + +Instead of defining everything in code, you can load agent configurations from JSON files: + +**alice.json:** +```json +{ + "type": "TinyPerson", + "persona": { + "name": "Alice Johnson", + "age": 28, + "nationality": "American", + "residence": "San Francisco", + "occupation": { + "title": "Product Manager", + "organization": "TechCorp", + "department": "Consumer Products" + }, + "personality": { + "openness": "high", + "extraversion": "medium", + "conscientiousness": "high", + "analytical_thinking": "very high" + }, + "interests": [ + "user experience design", + "data analysis", + "coffee culture", + "startup ecosystems" + ], + "goals": [ + "launch products that solve real problems", + "understand customer needs deeply", + "build data-driven product strategies" + ] + } +} +``` + +**Loading code:** +```go +func loadAgent() { + cfg := config.DefaultConfig() + + alice, err := loadAgentFromJSON("alice.json", cfg) + if err != nil { + log.Fatal(err) + } + + fmt.Printf("Loaded %s: %s at %s\n", + alice.Name, + alice.Persona.Occupation.(map[string]interface{})["title"], + alice.Persona.Occupation.(map[string]interface{})["organization"]) +} +``` + +## Agent Interactions + +### Single Agent Actions + +```go +func singleAgentExample() { + cfg := config.DefaultConfig() + alice := agent.NewTinyPerson("Alice", cfg) + + // Set up alice's personality... + + ctx := context.Background() + + // Have Alice respond to a scenario + err := alice.ListenAndAct(ctx, + "You're in a product planning meeting. The team is discussing whether to add a new feature that would delay the launch by 2 months. What's your perspective?", + nil) + + if err != nil { + log.Fatal(err) + } +} +``` + +### Two-Agent Conversation + +```go +func twoAgentConversation() { + cfg := config.DefaultConfig() + + // Create two agents with different perspectives + alice := agent.NewTinyPerson("Alice", cfg) + alice.Define("occupation", "Product Manager") + alice.Define("personality", map[string]interface{}{ + "risk_tolerance": "low", + "decision_style": "data-driven", + }) + + bob := agent.NewTinyPerson("Bob", cfg) + bob.Define("occupation", "Software Engineer") + bob.Define("personality", map[string]interface{}{ + "risk_tolerance": "high", + "decision_style": "innovative", + }) + + // Make them aware of each other + alice.MakeAgentAccessible(bob) + bob.MakeAgentAccessible(alice) + + ctx := context.Background() + + // Start conversation + alice.ListenAndAct(ctx, + "Hi Bob! I've been thinking about the new API design. What are your thoughts on prioritizing backward compatibility vs. clean architecture?", + nil) + + // Bob will automatically respond based on Alice's message +} +``` + +## Working with Environments + +Environments make it easy to manage multi-agent interactions: + +### Basic Environment Setup + +```go +func environmentExample() { + cfg := config.DefaultConfig() + + // Create agents + alice := createProductManager(cfg) + bob := createEngineer(cfg) + charlie := createDesigner(cfg) + + // Create environment + world := environment.NewTinyWorld("Planning Meeting", cfg, alice, bob, charlie) + world.MakeEveryoneAccessible() + + // Set the scene + world.Broadcast(` + You're in a product planning meeting for a new mobile app feature. + The goal is to decide on the core functionality and user experience. + Please discuss your perspectives and try to reach consensus. + `, nil) + + // Run simulation for several steps + ctx := context.Background() + steps := 5 + if err := world.Run(ctx, steps, nil); err != nil { + log.Fatal(err) + } + + // The agents will have a natural conversation! +} +``` + +### Environment with Custom Setup + +```go +func marketResearchEnvironment() { + cfg := config.DefaultConfig() + + // Create diverse user personas + techEnthusiast := createTechEnthusiast(cfg) + casualUser := createCasualUser(cfg) + businessUser := createBusinessUser(cfg) + + world := environment.NewTinyWorld("Focus Group", cfg, + techEnthusiast, casualUser, businessUser) + world.MakeEveryoneAccessible() + + // Present a product concept + world.Broadcast(` + We're showing you a new productivity app concept. + It combines calendar management, task tracking, and team collaboration. + Please share your honest thoughts about: + 1. Would you use this app? + 2. What features excite you most? + 3. What concerns do you have? + 4. How much would you pay for it? + `, nil) + + ctx := context.Background() + world.Run(ctx, 6, nil) +} +``` + +## Advanced Features + +### Memory and Context + +Agents remember previous conversations: + +```go +func memoryExample() { + cfg := config.DefaultConfig() + alice := agent.NewTinyPerson("Alice", cfg) + + ctx := context.Background() + + // First conversation + alice.ListenAndAct(ctx, "Hi Alice, I'm working on a new project about sustainable energy.", nil) + alice.ListenAndAct(ctx, "It involves solar panel optimization.", nil) + + // Later conversation - Alice will remember the context + alice.ListenAndAct(ctx, "How do you think we should approach the efficiency problem we discussed?", nil) + + // Alice's response will reference the earlier conversation about solar panels +} +``` + +### Tool Usage + +Agents can use tools to create documents, extract data, and more: + +```go +func toolExample() { + cfg := config.DefaultConfig() + + // Create an agent with tool access + consultant := agent.NewTinyPerson("Elena Rodriguez", cfg) + consultant.Define("occupation", "Business Consultant") + consultant.Define("expertise", []string{"market research", "strategic planning"}) + + // Register tools (document creation, data extraction, etc.) + toolRegistry := setupTools() + consultant.SetToolRegistry(toolRegistry) + + ctx := context.Background() + + // Ask the agent to create a document + consultant.ListenAndAct(ctx, ` + Please create a market research report about digital transformation trends + for mid-size companies in Europe. Include key findings, recommendations, + and market opportunities. + `, nil) + + // The agent will use document creation tools to generate a professional report +} +``` + +### Synthetic Data Generation + +Generate realistic data for training and testing: + +```go +func syntheticDataExample() { + cfg := config.DefaultConfig() + + // Create diverse user personas + users := []*agent.TinyPerson{ + createMillennialUser(cfg), + createGenXUser(cfg), + createBabyBoomerUser(cfg), + } + + world := environment.NewTinyWorld("User Research", cfg, users...) + world.MakeEveryoneAccessible() + + // Generate user feedback data + products := []string{ + "fitness tracking app", + "meal planning service", + "online learning platform", + } + + ctx := context.Background() + + for _, product := range products { + world.Broadcast(fmt.Sprintf(` + Please provide your honest feedback about this %s: + - What features would you want? + - What are your main concerns? + - How much would you pay? + - Rate your interest from 1-10 + `, product), nil) + + world.Run(ctx, 3, nil) + + // Extract structured data from responses + data := extractUserFeedback(world) + saveDataset(product, data) + } +} +``` + +## Real-World Examples + +### 1. Product Brainstorming Session + +Run this example: `make build && ./bin/product_brainstorming` + +This simulates a diverse team brainstorming new product ideas, demonstrating how different personality types contribute different perspectives. + +### 2. A/B Testing Simulation + +Run this example: `make build && ./bin/ab_testing` + +This shows how to test different product concepts with simulated user groups, gathering quantitative and qualitative feedback. + +### 3. Market Research + +Run this example: `make build && ./bin/synthetic_data_generation` + +This generates realistic user personas and feedback for market research scenarios. + +### 4. Document Creation + +Run this example: `make build && ./bin/document_creation` + +This demonstrates how agents can use tools to create professional business documents like reports and proposals. + +## Best Practices + +### 1. Agent Design + +**Create Rich Personas:** +```go +// Good: Detailed, realistic persona +alice.Define("background", "Former startup founder, now at enterprise company") +alice.Define("motivations", []string{"impact", "efficiency", "team growth"}) +alice.Define("communication_style", "direct but collaborative") +alice.Define("decision_factors", []string{"data", "user benefit", "team capacity"}) + +// Avoid: Too generic +alice.Define("occupation", "manager") +``` + +**Give Agents Clear Goals:** +```go +alice.Define("current_objectives", []string{ + "launch Q3 product on time", + "improve user retention by 15%", + "mentor junior team members", +}) +``` + +### 2. Environment Management + +**Set Clear Context:** +```go +world.Broadcast(` + Context: Q3 planning meeting + Goal: Finalize product roadmap priorities + Constraints: Limited engineering resources + Success criteria: Clear prioritized backlog +`, nil) +``` + +**Manage Conversation Flow:** +```go +// For focused discussions, limit participants +world := environment.NewTinyWorld("Design Review", cfg, designer, engineer, productManager) + +// For diverse perspectives, include more voices +world := environment.NewTinyWorld("User Research", cfg, + youngUser, seniorUser, businessUser, casualUser) +``` + +### 3. Memory Management + +**Let Conversations Develop Naturally:** +```go +// Run enough steps for meaningful interaction +world.Run(ctx, 8, nil) // Good for complex discussions + +// But don't let conversations go on forever +if steps > 15 { + // Summarize and conclude +} +``` + +### 4. Error Handling + +**Always Handle API Errors:** +```go +if err := agent.ListenAndAct(ctx, message, nil); err != nil { + if strings.Contains(err.Error(), "rate limit") { + time.Sleep(time.Minute) + // Retry logic + } else { + log.Printf("Agent error: %v", err) + } +} +``` + +### 5. Configuration + +**Use Environment Variables for Production:** +```bash +# Set in production environment +export OPENAI_API_KEY=prod_key +export TINYTROUPE_MODEL=gpt-4o +export TINYTROUPE_MAX_TOKENS=2048 +export TINYTROUPE_TEMPERATURE=0.7 +``` + +**Customize for Your Use Case:** +```go +cfg := config.DefaultConfig() +cfg.Temperature = 0.9 // More creative responses +cfg.MaxTokens = 500 // Shorter responses +cfg.Model = "gpt-4o" // Higher quality model +``` + +## Troubleshooting + +### Common Issues + +#### 1. API Key Problems +``` +Error: API key not found +``` +**Solution:** +```bash +export OPENAI_API_KEY=your_key_here +# Or check if .env file is properly configured +``` + +#### 2. Rate Limiting +``` +Error: rate limit exceeded +``` +**Solution:** +```go +cfg.MaxAttempts = 3 +cfg.Timeout = 30 // Increase timeout +// Add delays between requests +``` + +#### 3. Agent Not Responding Naturally +**Problem:** Agent responses seem robotic or inconsistent. + +**Solution:** +- Add more personality details +- Include background and motivations +- Set clearer context in environments +- Use higher temperature for more creative responses + +#### 4. Memory Issues +**Problem:** Agents forget previous context. + +**Solution:** +```go +// Enable memory consolidation +cfg.EnableMemoryConsolidation = true +cfg.MaxEpisodeLength = 50 + +// Or explicitly reference previous conversations +alice.ListenAndAct(ctx, "Continuing our discussion about the API design...", nil) +``` + +#### 5. Performance Issues +**Problem:** Simulations running slowly. + +**Solution:** +```go +// Enable parallel processing +cfg.ParallelActions = true + +// Reduce token limits +cfg.MaxTokens = 256 + +// Use smaller model for development +cfg.Model = "gpt-4o-mini" +``` + +### Getting Help + +1. **Check the logs** - Enable debug logging: + ```go + cfg.LogLevel = "DEBUG" + ``` + +2. **Review examples** - Look at working examples in `examples/` + +3. **Test components** - Run individual tests: + ```bash + go test ./pkg/agent -v + ``` + +4. **Check configuration** - Verify your setup: + ```bash + make check + ``` + +## Next Steps + +Now that you understand the basics: + +1. **Explore the examples** - Run `make examples` to see all available scenarios +2. **Try your own scenarios** - Modify the examples for your use cases +3. **Read the source** - Check `pkg/` directories for advanced features +4. **Contribute** - Help port more features from the Python version + +### Advanced Topics to Explore + +- **Custom Tools** - Create specialized tools for your domain +- **Complex Environments** - Multi-room simulations with different contexts +- **Behavior Steering** - Real-time modification of agent behavior +- **Performance Optimization** - Parallel processing and memory management +- **Integration** - Connect with external systems and APIs + +Happy simulating! 🚀 + +--- + +*This tutorial covers the essential concepts to get you started. For the latest updates and advanced features, see the [README.md](README.md) and explore the [examples](examples/) directory.* \ No newline at end of file diff --git a/go/cmd/analyze-deps/analyze-deps.go b/go/cmd/analyze-deps/analyze-deps.go new file mode 100644 index 0000000..8b151e4 --- /dev/null +++ b/go/cmd/analyze-deps/analyze-deps.go @@ -0,0 +1,179 @@ +// analyze-deps analyzes dependencies for TinyTroupe Go modules +package main + +import ( + "fmt" + "go/ast" + "go/parser" + "go/token" + "log" + "os" + "path/filepath" + "sort" + "strings" +) + +// Dependency represents a module dependency +type Dependency struct { + Package string + Module string + Used []string // Functions, types, etc. used from this dependency +} + +// ModuleInfo holds information about a Go module +type ModuleInfo struct { + Name string + Path string + Dependencies []Dependency + Exports []string // Public functions, types, etc. +} + +func main() { + if len(os.Args) < 2 { + fmt.Println("Usage: go run cmd/analyze-deps/analyze-deps.go ") + fmt.Println("Example: go run cmd/analyze-deps/analyze-deps.go pkg/agent") + os.Exit(1) + } + + pkgDir := os.Args[1] + + fmt.Printf("Analyzing dependencies for: %s\n", pkgDir) + fmt.Println("=====================================") + + moduleInfo, err := analyzeModule(pkgDir) + if err != nil { + log.Fatalf("Error analyzing module: %v", err) + } + + printModuleInfo(moduleInfo) +} + +func analyzeModule(pkgDir string) (*ModuleInfo, error) { + info := &ModuleInfo{ + Name: filepath.Base(pkgDir), + Path: pkgDir, + } + + // Parse all Go files in the directory + fset := token.NewFileSet() + pkgs, err := parser.ParseDir(fset, pkgDir, nil, parser.ParseComments) + if err != nil { + return nil, fmt.Errorf("failed to parse directory: %w", err) + } + + depMap := make(map[string]*Dependency) + exportSet := make(map[string]bool) + + for _, pkg := range pkgs { + for _, file := range pkg.Files { + // Analyze imports + for _, imp := range file.Imports { + importPath := strings.Trim(imp.Path.Value, "\"") + + // Skip standard library and current module + if !strings.Contains(importPath, ".") { + continue + } + if strings.HasPrefix(importPath, "github.com/microsoft/TinyTroupe/go/") { + module := extractModuleName(importPath) + if _, exists := depMap[importPath]; !exists { + depMap[importPath] = &Dependency{ + Package: importPath, + Module: module, + Used: []string{}, + } + } + } + } + + // Analyze exported identifiers + ast.Inspect(file, func(n ast.Node) bool { + switch node := n.(type) { + case *ast.FuncDecl: + if node.Name.IsExported() { + exportSet[node.Name.Name] = true + } + case *ast.TypeSpec: + if node.Name.IsExported() { + exportSet[node.Name.Name] = true + } + case *ast.ValueSpec: + for _, name := range node.Names { + if name.IsExported() { + exportSet[name.Name] = true + } + } + } + return true + }) + } + } + + // Convert maps to slices + for _, dep := range depMap { + info.Dependencies = append(info.Dependencies, *dep) + } + + for export := range exportSet { + info.Exports = append(info.Exports, export) + } + + // Sort for consistent output + sort.Slice(info.Dependencies, func(i, j int) bool { + return info.Dependencies[i].Package < info.Dependencies[j].Package + }) + sort.Strings(info.Exports) + + return info, nil +} + +func extractModuleName(importPath string) string { + parts := strings.Split(importPath, "/") + if len(parts) >= 2 { + return parts[len(parts)-1] + } + return importPath +} + +func printModuleInfo(info *ModuleInfo) { + fmt.Printf("📦 Module: %s\n", info.Name) + fmt.Printf("📍 Path: %s\n", info.Path) + fmt.Println() + + if len(info.Dependencies) > 0 { + fmt.Println("🔗 Internal Dependencies:") + for _, dep := range info.Dependencies { + fmt.Printf(" • %s (%s)\n", dep.Module, dep.Package) + } + fmt.Println() + } else { + fmt.Println("🔗 No internal dependencies found") + fmt.Println() + } + + if len(info.Exports) > 0 { + fmt.Println("📤 Exported Identifiers:") + for _, export := range info.Exports { + fmt.Printf(" • %s\n", export) + } + fmt.Println() + } else { + fmt.Println("📤 No exported identifiers found") + fmt.Println() + } + + // Migration recommendations + fmt.Println("💡 Migration Recommendations:") + if len(info.Dependencies) == 0 { + fmt.Println(" ✅ This module has no internal dependencies - good for early migration") + } else { + fmt.Println(" ⚠️ This module has dependencies - consider migration order:") + for _, dep := range info.Dependencies { + fmt.Printf(" - Ensure %s is migrated first\n", dep.Module) + } + } + + if len(info.Exports) > 0 { + fmt.Printf(" 📋 %d public interfaces to implement\n", len(info.Exports)) + } +} diff --git a/go/cmd/compare-apis/compare-apis.go b/go/cmd/compare-apis/compare-apis.go new file mode 100644 index 0000000..05a4a0d --- /dev/null +++ b/go/cmd/compare-apis/compare-apis.go @@ -0,0 +1,337 @@ +// compare-apis compares API compatibility between TinyTroupe modules +package main + +import ( + "fmt" + "go/ast" + "go/parser" + "go/token" + "log" + "os" + "sort" + "strings" +) + +// APIInfo represents API information for a module +type APIInfo struct { + Module string + Functions []FunctionInfo + Types []TypeInfo + Constants []ConstantInfo +} + +// FunctionInfo represents a function signature +type FunctionInfo struct { + Name string + Params []string + Returns []string + IsExported bool +} + +// TypeInfo represents a type definition +type TypeInfo struct { + Name string + Kind string // struct, interface, alias, etc. + IsExported bool +} + +// ConstantInfo represents a constant definition +type ConstantInfo struct { + Name string + Type string + IsExported bool +} + +func main() { + if len(os.Args) < 3 { + fmt.Println("Usage: go run cmd/compare-apis/compare-apis.go ") + fmt.Println("Example: go run cmd/compare-apis/compare-apis.go pkg/agent pkg/agent_new") + os.Exit(1) + } + + oldPath := os.Args[1] + newPath := os.Args[2] + + fmt.Printf("Comparing APIs: %s vs %s\n", oldPath, newPath) + fmt.Println("=====================================") + + oldAPI, err := extractAPI(oldPath) + if err != nil { + log.Fatalf("Error analyzing old module: %v", err) + } + + newAPI, err := extractAPI(newPath) + if err != nil { + log.Fatalf("Error analyzing new module: %v", err) + } + + compareAPIs(oldAPI, newAPI) +} + +func extractAPI(pkgPath string) (*APIInfo, error) { + info := &APIInfo{ + Module: pkgPath, + } + + fset := token.NewFileSet() + pkgs, err := parser.ParseDir(fset, pkgPath, nil, parser.ParseComments) + if err != nil { + return nil, fmt.Errorf("failed to parse directory: %w", err) + } + + for _, pkg := range pkgs { + for _, file := range pkg.Files { + ast.Inspect(file, func(n ast.Node) bool { + switch node := n.(type) { + case *ast.FuncDecl: + if node.Name != nil { + funcInfo := extractFunctionInfo(node) + info.Functions = append(info.Functions, funcInfo) + } + case *ast.TypeSpec: + if node.Name != nil { + typeInfo := extractTypeInfo(node) + info.Types = append(info.Types, typeInfo) + } + case *ast.ValueSpec: + for _, name := range node.Names { + constInfo := ConstantInfo{ + Name: name.Name, + IsExported: name.IsExported(), + } + if node.Type != nil { + constInfo.Type = fmt.Sprintf("%v", node.Type) + } + info.Constants = append(info.Constants, constInfo) + } + } + return true + }) + } + } + + // Sort for consistent comparison + sort.Slice(info.Functions, func(i, j int) bool { + return info.Functions[i].Name < info.Functions[j].Name + }) + sort.Slice(info.Types, func(i, j int) bool { + return info.Types[i].Name < info.Types[j].Name + }) + sort.Slice(info.Constants, func(i, j int) bool { + return info.Constants[i].Name < info.Constants[j].Name + }) + + return info, nil +} + +func extractFunctionInfo(funcDecl *ast.FuncDecl) FunctionInfo { + info := FunctionInfo{ + Name: funcDecl.Name.Name, + IsExported: funcDecl.Name.IsExported(), + } + + // Extract parameters + if funcDecl.Type.Params != nil { + for _, param := range funcDecl.Type.Params.List { + paramType := fmt.Sprintf("%v", param.Type) + for _, name := range param.Names { + info.Params = append(info.Params, fmt.Sprintf("%s %s", name.Name, paramType)) + } + // Handle unnamed parameters + if len(param.Names) == 0 { + info.Params = append(info.Params, paramType) + } + } + } + + // Extract return types + if funcDecl.Type.Results != nil { + for _, result := range funcDecl.Type.Results.List { + resultType := fmt.Sprintf("%v", result.Type) + info.Returns = append(info.Returns, resultType) + } + } + + return info +} + +func extractTypeInfo(typeSpec *ast.TypeSpec) TypeInfo { + info := TypeInfo{ + Name: typeSpec.Name.Name, + IsExported: typeSpec.Name.IsExported(), + } + + switch typeSpec.Type.(type) { + case *ast.StructType: + info.Kind = "struct" + case *ast.InterfaceType: + info.Kind = "interface" + default: + info.Kind = "alias" + } + + return info +} + +func compareAPIs(oldAPI, newAPI *APIInfo) { + fmt.Printf("🔍 Analyzing API compatibility\n\n") + + // Compare functions + compareFunctions(oldAPI.Functions, newAPI.Functions) + + // Compare types + compareTypes(oldAPI.Types, newAPI.Types) + + // Compare constants + compareConstants(oldAPI.Constants, newAPI.Constants) + + // Summary + fmt.Println("📊 Summary:") + fmt.Printf(" Old API: %d functions, %d types, %d constants\n", + len(oldAPI.Functions), len(oldAPI.Types), len(oldAPI.Constants)) + fmt.Printf(" New API: %d functions, %d types, %d constants\n", + len(newAPI.Functions), len(newAPI.Types), len(newAPI.Constants)) +} + +func compareFunctions(oldFuncs, newFuncs []FunctionInfo) { + fmt.Println("🔧 Functions:") + + oldMap := make(map[string]FunctionInfo) + newMap := make(map[string]FunctionInfo) + + for _, f := range oldFuncs { + if f.IsExported { + oldMap[f.Name] = f + } + } + + for _, f := range newFuncs { + if f.IsExported { + newMap[f.Name] = f + } + } + + // Check for missing functions + for name := range oldMap { + if _, exists := newMap[name]; !exists { + fmt.Printf(" ❌ Missing function: %s\n", name) + } + } + + // Check for new functions + for name := range newMap { + if _, exists := oldMap[name]; !exists { + fmt.Printf(" ✅ New function: %s\n", name) + } + } + + // Check for signature changes + for name, oldFunc := range oldMap { + if newFunc, exists := newMap[name]; exists { + if !equalStringSlices(oldFunc.Params, newFunc.Params) || + !equalStringSlices(oldFunc.Returns, newFunc.Returns) { + fmt.Printf(" ⚠️ Changed signature: %s\n", name) + fmt.Printf(" Old: (%s) -> (%s)\n", + strings.Join(oldFunc.Params, ", "), + strings.Join(oldFunc.Returns, ", ")) + fmt.Printf(" New: (%s) -> (%s)\n", + strings.Join(newFunc.Params, ", "), + strings.Join(newFunc.Returns, ", ")) + } + } + } + + fmt.Println() +} + +func compareTypes(oldTypes, newTypes []TypeInfo) { + fmt.Println("📋 Types:") + + oldMap := make(map[string]TypeInfo) + newMap := make(map[string]TypeInfo) + + for _, t := range oldTypes { + if t.IsExported { + oldMap[t.Name] = t + } + } + + for _, t := range newTypes { + if t.IsExported { + newMap[t.Name] = t + } + } + + // Check for missing types + for name := range oldMap { + if _, exists := newMap[name]; !exists { + fmt.Printf(" ❌ Missing type: %s\n", name) + } + } + + // Check for new types + for name := range newMap { + if _, exists := oldMap[name]; !exists { + fmt.Printf(" ✅ New type: %s\n", name) + } + } + + // Check for kind changes + for name, oldType := range oldMap { + if newType, exists := newMap[name]; exists { + if oldType.Kind != newType.Kind { + fmt.Printf(" ⚠️ Changed kind: %s (%s -> %s)\n", + name, oldType.Kind, newType.Kind) + } + } + } + + fmt.Println() +} + +func compareConstants(oldConstants, newConstants []ConstantInfo) { + fmt.Println("📌 Constants:") + + oldMap := make(map[string]ConstantInfo) + newMap := make(map[string]ConstantInfo) + + for _, c := range oldConstants { + if c.IsExported { + oldMap[c.Name] = c + } + } + + for _, c := range newConstants { + if c.IsExported { + newMap[c.Name] = c + } + } + + // Check for missing constants + for name := range oldMap { + if _, exists := newMap[name]; !exists { + fmt.Printf(" ❌ Missing constant: %s\n", name) + } + } + + // Check for new constants + for name := range newMap { + if _, exists := oldMap[name]; !exists { + fmt.Printf(" ✅ New constant: %s\n", name) + } + } + + fmt.Println() +} + +func equalStringSlices(a, b []string) bool { + if len(a) != len(b) { + return false + } + for i := range a { + if a[i] != b[i] { + return false + } + } + return true +} diff --git a/go/cmd/demo/main.go b/go/cmd/demo/main.go new file mode 100644 index 0000000..54d7117 --- /dev/null +++ b/go/cmd/demo/main.go @@ -0,0 +1,108 @@ +package main + +import ( + "context" + "log" + "os" + "time" + + "github.com/microsoft/TinyTroupe/go/pkg/agent" + "github.com/microsoft/TinyTroupe/go/pkg/config" + "github.com/microsoft/TinyTroupe/go/pkg/environment" +) + +func main() { + // Check for API key + if os.Getenv("OPENAI_API_KEY") == "" { + log.Println("Warning: OPENAI_API_KEY not set. This example may not work properly.") + log.Println("Please set your OpenAI API key as an environment variable.") + return + } + + // Create configuration + cfg := config.DefaultConfig() + + // Create agents + lisa := agent.NewTinyPerson("Lisa", cfg) + lisa.Define("age", 28) + lisa.Define("nationality", "Canadian") + lisa.Define("residence", "USA") + lisa.Define("occupation", map[string]interface{}{ + "title": "Data Scientist", + "organization": "Microsoft", + "description": "Works on M365 Search team, analyzing user behavior and building ML models.", + }) + lisa.Define("interests", []string{ + "Artificial intelligence and machine learning", + "Natural language processing", + "Cooking and trying new recipes", + "Playing the piano", + }) + + oscar := agent.NewTinyPerson("Oscar", cfg) + oscar.Define("age", 30) + oscar.Define("nationality", "German") + oscar.Define("residence", "Germany") + oscar.Define("occupation", map[string]interface{}{ + "title": "Architect", + "organization": "Awesome Inc.", + "description": "Focuses on designing standard elements for new apartment buildings.", + }) + oscar.Define("interests", []string{ + "Modernist architecture", + "Sustainable design", + "Travel to exotic places", + "Playing guitar", + "Science fiction books", + }) + + // Create world and add agents + world := environment.NewTinyWorld("Chat Room", cfg, lisa, oscar) + world.MakeEveryoneAccessible() + + log.Println("=== TinyTroupe Go Demo ===") + log.Printf("Created world '%s' with agents: %s, %s", world.GetName(), lisa.Name, oscar.Name) + + // Create context with timeout + ctx, cancel := context.WithTimeout(context.Background(), 2*time.Minute) + defer cancel() + + // Start conversation + log.Println("\n--- Starting Conversation ---") + + // Lisa initiates conversation + _, err := lisa.ListenAndAct(ctx, "Talk to Oscar to know more about him", nil) + if err != nil { + log.Printf("Error with Lisa's action: %v", err) + return + } + + // Run simulation for a few steps to let them interact + log.Println("\n--- Running Simulation ---") + timeDelta := 1 * time.Minute + err = world.Run(ctx, 3, &timeDelta) + if err != nil { + log.Printf("Error running simulation: %v", err) + return + } + + log.Println("\n--- Simulation Complete ---") + log.Println("Check the logs above to see the conversation between Lisa and Oscar!") + + // Example of broadcasting a message + log.Println("\n--- Broadcasting Message ---") + err = world.Broadcast("This is the end of our demo session. Thank you for participating!", nil) + if err != nil { + log.Printf("Error broadcasting: %v", err) + return + } + + // Let agents respond to the broadcast + err = world.Run(ctx, 1, &timeDelta) + if err != nil { + log.Printf("Error in final step: %v", err) + return + } + + log.Println("\n=== Demo Complete ===") +} diff --git a/go/config.example.env b/go/config.example.env new file mode 100644 index 0000000..00e9d5d --- /dev/null +++ b/go/config.example.env @@ -0,0 +1,36 @@ +# TinyTroupe Go Configuration Example +# Copy this file and rename to set custom configuration values + +# OpenAI Configuration +# Set these as environment variables or modify the defaults in code +# OPENAI_API_KEY=your_openai_api_key_here +# AZURE_OPENAI_ENDPOINT=https://your-resource.openai.azure.com/ +# AZURE_OPENAI_KEY=your_azure_key_here + +# Model Configuration +# TINYTROUPE_API_TYPE=openai # or "azure" +# TINYTROUPE_MODEL=gpt-4o-mini # Main model for agent responses +# TINYTROUPE_EMBEDDING_MODEL=text-embedding-3-small +# TINYTROUPE_MAX_TOKENS=1024 +# TINYTROUPE_TEMPERATURE=1.0 +# TINYTROUPE_TOP_P=1.0 +# TINYTROUPE_FREQ_PENALTY=0.0 +# TINYTROUPE_PRESENCE_PENALTY=0.0 + +# Request Configuration +# TINYTROUPE_TIMEOUT=30 # Seconds +# TINYTROUPE_MAX_ATTEMPTS=3 # Retry attempts + +# Simulation Configuration +# TINYTROUPE_PARALLEL_ACTIONS=true # Run agents in parallel + +# Memory Configuration +# TINYTROUPE_ENABLE_MEMORY_CONSOLIDATION=true +# TINYTROUPE_MIN_EPISODE_LENGTH=15 +# TINYTROUPE_MAX_EPISODE_LENGTH=50 + +# Display Configuration +# TINYTROUPE_MAX_CONTENT_DISPLAY_LENGTH=1024 + +# Logging +# TINYTROUPE_LOG_LEVEL=INFO # DEBUG, INFO, WARN, ERROR \ No newline at end of file diff --git a/go/documents/Market_Research_Report_on_Digital_Transformation_Trends_for_Mid-Size_Companies_in_Europe.Elena_Rodriguez.json b/go/documents/Market_Research_Report_on_Digital_Transformation_Trends_for_Mid-Size_Companies_in_Europe.Elena_Rodriguez.json new file mode 100644 index 0000000..31a5d9c --- /dev/null +++ b/go/documents/Market_Research_Report_on_Digital_Transformation_Trends_for_Mid-Size_Companies_in_Europe.Elena_Rodriguez.json @@ -0,0 +1,9 @@ +{ + "author": "Elena Rodriguez", + "content": "## Challenges and Opportunities\n\nCommon challenges include limited budgetary resources and resistance to change within the workforce. However, these hurdles also present opportunities for companies to innovate and improve operational efficiency through targeted investments in technology.\n\n## Key Market Trends and Drivers\n\nMid-size companies in Europe are increasingly recognizing the necessity of digital transformation to stay competitive. Key drivers include the need for enhanced customer engagement, the shift towards remote work, and the adoption of data-driven decision-making practices.\n\n## Strategic Recommendations\n\nTo successfully navigate digital transformation, companies should prioritize a comprehensive digital strategy, invest in employee training, and leverage partnerships with technology providers to maximize resource utilization.\n\n## Technology Adoption Patterns\n\nThere is a notable trend in adopting cloud-based solutions, AI, and automation tools. Mid-size companies are gradually investing in integrated systems that facilitate real-time data access and customer insights.\n\n---\n*Generated on August 2, 2025 at 9:38 PM*", + "content_text": "## Challenges and Opportunities\n\nCommon challenges include limited budgetary resources and resistance to change within the workforce. However, these hurdles also present opportunities for companies to innovate and improve operational efficiency through targeted investments in technology.\n\n## Key Market Trends and Drivers\n\nMid-size companies in Europe are increasingly recognizing the necessity of digital transformation to stay competitive. Key drivers include the need for enhanced customer engagement, the shift towards remote work, and the adoption of data-driven decision-making practices.\n\n## Strategic Recommendations\n\nTo successfully navigate digital transformation, companies should prioritize a comprehensive digital strategy, invest in employee training, and leverage partnerships with technology providers to maximize resource utilization.\n\n## Technology Adoption Patterns\n\nThere is a notable trend in adopting cloud-based solutions, AI, and automation tools. Mid-size companies are gradually investing in integrated systems that facilitate real-time data access and customer insights.\n\n---\n*Generated on August 2, 2025 at 9:38 PM*", + "created": "2025-08-02T21:38:27+02:00", + "title": "Market Research Report on Digital Transformation Trends for Mid-Size Companies in Europe", + "type": "market research report", + "word_count": 149 +} \ No newline at end of file diff --git a/go/documents/Market_Research_Report_on_Digital_Transformation_Trends_for_Mid-Size_Companies_in_Europe.Elena_Rodriguez.md b/go/documents/Market_Research_Report_on_Digital_Transformation_Trends_for_Mid-Size_Companies_in_Europe.Elena_Rodriguez.md new file mode 100644 index 0000000..1aa1342 --- /dev/null +++ b/go/documents/Market_Research_Report_on_Digital_Transformation_Trends_for_Mid-Size_Companies_in_Europe.Elena_Rodriguez.md @@ -0,0 +1,24 @@ +# Market Research Report on Digital Transformation Trends for Mid-Size Companies in Europe + +**Author:** Elena Rodriguez +**Type:** market research report +**Created:** 2025-08-02 21:38:27 + +## Challenges and Opportunities + +Common challenges include limited budgetary resources and resistance to change within the workforce. However, these hurdles also present opportunities for companies to innovate and improve operational efficiency through targeted investments in technology. + +## Key Market Trends and Drivers + +Mid-size companies in Europe are increasingly recognizing the necessity of digital transformation to stay competitive. Key drivers include the need for enhanced customer engagement, the shift towards remote work, and the adoption of data-driven decision-making practices. + +## Strategic Recommendations + +To successfully navigate digital transformation, companies should prioritize a comprehensive digital strategy, invest in employee training, and leverage partnerships with technology providers to maximize resource utilization. + +## Technology Adoption Patterns + +There is a notable trend in adopting cloud-based solutions, AI, and automation tools. Mid-size companies are gradually investing in integrated systems that facilitate real-time data access and customer insights. + +--- +*Generated on August 2, 2025 at 9:38 PM* \ No newline at end of file diff --git a/go/documents/Market_Research_Report_on_Digital_Transformation_Trends_for_Mid-Size_Companies_in_Europe.Elena_Rodriguez.txt b/go/documents/Market_Research_Report_on_Digital_Transformation_Trends_for_Mid-Size_Companies_in_Europe.Elena_Rodriguez.txt new file mode 100644 index 0000000..02a44db --- /dev/null +++ b/go/documents/Market_Research_Report_on_Digital_Transformation_Trends_for_Mid-Size_Companies_in_Europe.Elena_Rodriguez.txt @@ -0,0 +1,25 @@ +MARKET RESEARCH REPORT ON DIGITAL TRANSFORMATION TRENDS FOR MID-SIZE COMPANIES IN EUROPE +======================================================================================== + +Author: Elena Rodriguez +Type: market research report +Created: 2025-08-02 21:38:27 + + Challenges and Opportunities + +Common challenges include limited budgetary resources and resistance to change within the workforce. However, these hurdles also present opportunities for companies to innovate and improve operational efficiency through targeted investments in technology. + + Key Market Trends and Drivers + +Mid-size companies in Europe are increasingly recognizing the necessity of digital transformation to stay competitive. Key drivers include the need for enhanced customer engagement, the shift towards remote work, and the adoption of data-driven decision-making practices. + + Strategic Recommendations + +To successfully navigate digital transformation, companies should prioritize a comprehensive digital strategy, invest in employee training, and leverage partnerships with technology providers to maximize resource utilization. + + Technology Adoption Patterns + +There is a notable trend in adopting cloud-based solutions, AI, and automation tools. Mid-size companies are gradually investing in integrated systems that facilitate real-time data access and customer insights. + +--- +Generated on August 2, 2025 at 9:38 PM \ No newline at end of file diff --git a/go/documents/Strategic_Business_Proposal_for_AI_Automation_in_Customer_Service.Elena_Rodriguez.json b/go/documents/Strategic_Business_Proposal_for_AI_Automation_in_Customer_Service.Elena_Rodriguez.json new file mode 100644 index 0000000..e209e89 --- /dev/null +++ b/go/documents/Strategic_Business_Proposal_for_AI_Automation_in_Customer_Service.Elena_Rodriguez.json @@ -0,0 +1,9 @@ +{ + "author": "Elena Rodriguez", + "content": "1. map[section:Executive Summary text:This proposal outlines the opportunity for automating customer service through AI technologies. By leveraging AI, the client can enhance customer interactions, reduce operational costs, and increase service efficiency.]\n2. map[section:Implementation Strategy and Timeline text:The implementation will be phased over six months, beginning with a pilot project in the first two months, followed by a full-scale rollout. Key milestones include vendor selection, system integration, and staff training.]\n3. map[section:Expected Benefits and ROI text:AI automation is anticipated to reduce customer service response times by 50%, leading to higher customer satisfaction scores. We project an ROI of 150% within the first year post-implementation.]\n4. map[section:Risk Mitigation Strategies text:Potential risks include staff resistance and integration challenges. To mitigate these risks, we will conduct change management workshops and select a platform that offers seamless integration.]\n\n---\n*Generated on August 2, 2025 at 9:50 PM*", + "content_text": "1. map[section:Executive Summary text:This proposal outlines the opportunity for automating customer service through AI technologies. By leveraging AI, the client can enhance customer interactions, reduce operational costs, and increase service efficiency.]\n2. map[section:Implementation Strategy and Timeline text:The implementation will be phased over six months, beginning with a pilot project in the first two months, followed by a full-scale rollout. Key milestones include vendor selection, system integration, and staff training.]\n3. map[section:Expected Benefits and ROI text:AI automation is anticipated to reduce customer service response times by 50%, leading to higher customer satisfaction scores. We project an ROI of 150% within the first year post-implementation.]\n4. map[section:Risk Mitigation Strategies text:Potential risks include staff resistance and integration challenges. To mitigate these risks, we will conduct change management workshops and select a platform that offers seamless integration.]\n\n---\n*Generated on August 2, 2025 at 9:50 PM*", + "created": "2025-08-02T21:50:14+02:00", + "title": "Strategic Business Proposal for AI Automation in Customer Service", + "type": "Business Proposal", + "word_count": 142 +} \ No newline at end of file diff --git a/go/documents/Strategic_Business_Proposal_for_AI_Automation_in_Customer_Service.Elena_Rodriguez.md b/go/documents/Strategic_Business_Proposal_for_AI_Automation_in_Customer_Service.Elena_Rodriguez.md new file mode 100644 index 0000000..9ee8f88 --- /dev/null +++ b/go/documents/Strategic_Business_Proposal_for_AI_Automation_in_Customer_Service.Elena_Rodriguez.md @@ -0,0 +1,13 @@ +# Strategic Business Proposal for AI Automation in Customer Service + +**Author:** Elena Rodriguez +**Type:** Business Proposal +**Created:** 2025-08-02 21:50:14 + +1. map[section:Executive Summary text:This proposal outlines the opportunity for automating customer service through AI technologies. By leveraging AI, the client can enhance customer interactions, reduce operational costs, and increase service efficiency.] +2. map[section:Implementation Strategy and Timeline text:The implementation will be phased over six months, beginning with a pilot project in the first two months, followed by a full-scale rollout. Key milestones include vendor selection, system integration, and staff training.] +3. map[section:Expected Benefits and ROI text:AI automation is anticipated to reduce customer service response times by 50%, leading to higher customer satisfaction scores. We project an ROI of 150% within the first year post-implementation.] +4. map[section:Risk Mitigation Strategies text:Potential risks include staff resistance and integration challenges. To mitigate these risks, we will conduct change management workshops and select a platform that offers seamless integration.] + +--- +*Generated on August 2, 2025 at 9:50 PM* \ No newline at end of file diff --git a/go/documents/Strategic_Business_Proposal_for_AI_Automation_in_Customer_Service.Elena_Rodriguez.txt b/go/documents/Strategic_Business_Proposal_for_AI_Automation_in_Customer_Service.Elena_Rodriguez.txt new file mode 100644 index 0000000..0593062 --- /dev/null +++ b/go/documents/Strategic_Business_Proposal_for_AI_Automation_in_Customer_Service.Elena_Rodriguez.txt @@ -0,0 +1,14 @@ +STRATEGIC BUSINESS PROPOSAL FOR AI AUTOMATION IN CUSTOMER SERVICE +================================================================= + +Author: Elena Rodriguez +Type: Business Proposal +Created: 2025-08-02 21:50:14 + +1. map[section:Executive Summary text:This proposal outlines the opportunity for automating customer service through AI technologies. By leveraging AI, the client can enhance customer interactions, reduce operational costs, and increase service efficiency.] +2. map[section:Implementation Strategy and Timeline text:The implementation will be phased over six months, beginning with a pilot project in the first two months, followed by a full-scale rollout. Key milestones include vendor selection, system integration, and staff training.] +3. map[section:Expected Benefits and ROI text:AI automation is anticipated to reduce customer service response times by 50%, leading to higher customer satisfaction scores. We project an ROI of 150% within the first year post-implementation.] +4. map[section:Risk Mitigation Strategies text:Potential risks include staff resistance and integration challenges. To mitigate these risks, we will conduct change management workshops and select a platform that offers seamless integration.] + +--- +Generated on August 2, 2025 at 9:50 PM \ No newline at end of file diff --git a/go/examples/ab_testing.go b/go/examples/ab_testing.go new file mode 100644 index 0000000..ffff2a5 --- /dev/null +++ b/go/examples/ab_testing.go @@ -0,0 +1,259 @@ +package main + +import ( + "context" + "encoding/json" + "fmt" + "log" + "os" + "time" + + "github.com/microsoft/TinyTroupe/go/pkg/agent" + "github.com/microsoft/TinyTroupe/go/pkg/config" + "github.com/microsoft/TinyTroupe/go/pkg/experimentation" +) + +func main() { + fmt.Println("=== TinyTroupe Go A/B Testing Example ===") + fmt.Println("") + + cfg := config.DefaultConfig() + + // Load agents for the experiment + fmt.Println("Loading agents for A/B testing experiment...") + + lisa, err := loadAgentFromJSON("examples/agents/lisa.json", cfg) + if err != nil { + log.Fatalf("Failed to load Lisa: %v", err) + } + + oscar, err := loadAgentFromJSON("examples/agents/oscar.json", cfg) + if err != nil { + log.Fatalf("Failed to load Oscar: %v", err) + } + + marcos, err := loadAgentFromJSON("examples/agents/Marcos.agent.json", cfg) + if err != nil { + log.Fatalf("Failed to load Marcos: %v", err) + } + + lila, err := loadAgentFromJSON("examples/agents/Lila.agent.json", cfg) + if err != nil { + log.Fatalf("Failed to load Lila: %v", err) + } + + fmt.Printf("✓ %s - %s\n", lisa.Name, getOccupationTitle(lisa)) + fmt.Printf("✓ %s - %s\n", oscar.Name, getOccupationTitle(oscar)) + fmt.Printf("✓ %s - %s\n", marcos.Name, getOccupationTitle(marcos)) + fmt.Printf("✓ %s - %s\n", lila.Name, getOccupationTitle(lila)) + fmt.Println("") + + // Set up experiment runner + fmt.Println("Setting up A/B testing experiment...") + runner := experimentation.NewExperimentRunner() + + // Define experiment configuration + abConfig := &experimentation.ExperimentConfig{ + Type: experimentation.ABTestExperiment, + Name: "Agent Collaboration Enhancement", + Description: "Testing the impact of enhanced collaboration prompts on agent performance", + Duration: time.Hour * 2, // Simulate 2-hour experiment + SampleSize: 200, // 200 simulated interactions + Significance: 0.05, // 95% confidence level + Variables: map[string]interface{}{ + "control_prompt": "standard collaboration prompt", + "treatment_prompt": "enhanced collaboration prompt with empathy cues", + }, + Metrics: []string{ + "engagement_score", + "task_completion_rate", + "response_time", + "satisfaction_rating", + }, + RandomSeed: 42, + } + + // Create and register the A/B test experiment + abExperiment := experimentation.NewABTestExperiment(abConfig) + runner.RegisterExperiment("collaboration_test", abExperiment) + + fmt.Printf("✓ Created A/B test: %s\n", abConfig.Name) + fmt.Printf(" Sample size: %d participants\n", abConfig.SampleSize) + fmt.Printf(" Significance level: %.1f%%\n", (1-abConfig.Significance)*100) + fmt.Printf(" Metrics: %v\n", abConfig.Metrics) + fmt.Println("") + + // Run the experiment + fmt.Println("=== Running A/B Test Experiment ===") + fmt.Println("") + + ctx := context.Background() + result, err := runner.RunExperiment(ctx, "collaboration_test") + if err != nil { + log.Fatalf("Failed to run experiment: %v", err) + } + + // Display results + fmt.Println("📊 Experiment Results:") + fmt.Printf(" Duration: %v\n", result.Duration) + fmt.Printf(" Sample size: %d\n", result.SampleSize) + fmt.Printf(" Groups: %d (Control: %d, Treatment: %d)\n", + len(result.Groups), + result.Groups["control"].Size, + result.Groups["treatment"].Size) + fmt.Println("") + + // Show detailed metrics comparison + fmt.Println("📈 Metrics Comparison:") + for _, metric := range abConfig.Metrics { + controlMean := result.Groups["control"].Summary[metric+"_mean"] + treatmentMean := result.Groups["treatment"].Summary[metric+"_mean"] + improvement := ((treatmentMean - controlMean) / controlMean) * 100 + + fmt.Printf(" %s:\n", metric) + fmt.Printf(" Control: %.3f\n", controlMean) + fmt.Printf(" Treatment: %.3f\n", treatmentMean) + if improvement > 0 { + fmt.Printf(" Improvement: +%.1f%%\n", improvement) + } else { + fmt.Printf(" Change: %.1f%%\n", improvement) + } + fmt.Println("") + } + + // Show statistical analysis + fmt.Println("🔬 Statistical Analysis:") + analysis := result.Analysis + fmt.Printf(" Method: %s\n", analysis.Method) + fmt.Printf(" P-value: %.6f\n", analysis.PValue) + fmt.Printf(" Test statistic: %.3f\n", analysis.TestStat) + fmt.Printf(" Degrees of freedom: %d\n", analysis.DegreesOfFreedom) + fmt.Printf(" Effect size (Cohen's d): %.3f\n", analysis.EffectSize) + fmt.Printf(" Statistical power: %.1f%%\n", analysis.PowerAnalysis["power"]*100) + fmt.Println("") + + // Interpret effect size + fmt.Println("📏 Effect Size Interpretation:") + effectSize := analysis.EffectSize + if effectSize < 0.2 { + fmt.Println(" Small effect (< 0.2)") + } else if effectSize < 0.5 { + fmt.Println(" Small to medium effect (0.2 - 0.5)") + } else if effectSize < 0.8 { + fmt.Println(" Medium to large effect (0.5 - 0.8)") + } else { + fmt.Println(" Large effect (> 0.8)") + } + fmt.Println("") + + // Show significance and conclusion + fmt.Println("🎯 Experiment Conclusion:") + if result.Significance { + fmt.Printf(" ✅ STATISTICALLY SIGNIFICANT (p < %.2f)\n", abConfig.Significance) + } else { + fmt.Printf(" ❌ NOT STATISTICALLY SIGNIFICANT (p >= %.2f)\n", abConfig.Significance) + } + fmt.Printf(" Confidence level: %.1f%%\n", result.ConfidenceLevel*100) + fmt.Println("") + fmt.Printf(" 📝 %s\n", result.Conclusion) + fmt.Println("") + + // Show recommendations + fmt.Println("💡 Recommendations:") + for i, rec := range analysis.Recommendations { + fmt.Printf(" %d. %s\n", i+1, rec) + } + fmt.Println("") + + // Demonstrate multiple experiments + fmt.Println("=== Running Additional Experiment ===") + fmt.Println("") + + // Create a second experiment focusing on response time + rtConfig := &experimentation.ExperimentConfig{ + Type: experimentation.ABTestExperiment, + Name: "Response Time Optimization", + Description: "Testing optimized prompts for faster agent responses", + Duration: time.Minute * 30, + SampleSize: 150, + Significance: 0.05, + Variables: map[string]interface{}{ + "control_prompt": "standard response prompt", + "treatment_prompt": "optimized response prompt for speed", + }, + Metrics: []string{ + "response_time", + "task_completion_rate", + }, + RandomSeed: 123, + } + + rtExperiment := experimentation.NewABTestExperiment(rtConfig) + runner.RegisterExperiment("response_time_test", rtExperiment) + + rtResult, err := runner.RunExperiment(ctx, "response_time_test") + if err != nil { + log.Printf("Failed to run response time experiment: %v", err) + } else { + fmt.Printf("✅ Response Time Experiment completed\n") + fmt.Printf(" P-value: %.4f\n", rtResult.Analysis.PValue) + fmt.Printf(" Significant: %t\n", rtResult.Significance) + fmt.Printf(" Effect size: %.3f\n", rtResult.Analysis.EffectSize) + fmt.Println("") + } + + // Summary + fmt.Println("=== A/B Testing Summary ===") + fmt.Println("") + fmt.Println("✅ Demonstrated A/B testing capabilities:") + fmt.Println(" • Statistical significance testing with Welch's t-test") + fmt.Println(" • Effect size calculation (Cohen's d)") + fmt.Println(" • Power analysis for sample size validation") + fmt.Println(" • Multiple metric tracking and comparison") + fmt.Println(" • Automated recommendations based on results") + fmt.Println(" • Support for multiple concurrent experiments") + fmt.Println("") + fmt.Printf("📊 Total experiments run: 2\n") + fmt.Printf("📈 Agents available for testing: %d\n", 4) + fmt.Println("🔬 Ready for production experimentation workflows") + + fmt.Println("") + fmt.Println("=== A/B Testing Example Complete ===") +} + +// loadAgentFromJSON loads a TinyPerson from a JSON file +func loadAgentFromJSON(filename string, cfg *config.Config) (*agent.TinyPerson, error) { + data, err := os.ReadFile(filename) + if err != nil { + return nil, fmt.Errorf("failed to read file: %w", err) + } + + var agentSpec struct { + Type string `json:"type"` + Persona agent.Persona `json:"persona"` + } + + if err := json.Unmarshal(data, &agentSpec); err != nil { + return nil, fmt.Errorf("failed to parse JSON: %w", err) + } + + if agentSpec.Type != "TinyPerson" { + return nil, fmt.Errorf("invalid agent type: %s", agentSpec.Type) + } + + // Create agent with the loaded persona + person := agent.NewTinyPerson(agentSpec.Persona.Name, cfg) + person.Persona = &agentSpec.Persona + + return person, nil +} + +// getOccupationTitle extracts the occupation title from an agent's persona +func getOccupationTitle(person *agent.TinyPerson) string { + if occupation, ok := person.Persona.Occupation.(map[string]interface{}); ok { + if title, ok := occupation["title"].(string); ok { + return title + } + } + return "Unknown" +} diff --git a/go/examples/agent_creation.go b/go/examples/agent_creation.go new file mode 100644 index 0000000..b27a7c1 --- /dev/null +++ b/go/examples/agent_creation.go @@ -0,0 +1,115 @@ +package main + +import ( + "encoding/json" + "fmt" + "log" + "os" + + "github.com/microsoft/TinyTroupe/go/pkg/agent" + "github.com/microsoft/TinyTroupe/go/pkg/config" +) + +func main() { + fmt.Println("=== TinyTroupe Go Agent Creation Examples ===") + fmt.Println("") + + cfg := config.DefaultConfig() + + // Example 1: Creating an agent programmatically + fmt.Println("1. Creating agent programmatically:") + alice := agent.NewTinyPerson("Alice", cfg) + alice.Define("age", 25) + alice.Define("nationality", "American") + alice.Define("occupation", "Software Engineer") + alice.Define("interests", []string{"programming", "AI", "music"}) + + fmt.Printf(" Created %s, age %d, from %s\n", + alice.Name, alice.Persona.Age, alice.Persona.Nationality) + fmt.Printf(" Interests: %v\n\n", alice.Persona.Interests) + + // Example 2: Loading an agent from JSON file + fmt.Println("2. Loading agent from JSON file:") + lisa, err := loadAgentFromJSON("examples/agents/lisa.json", cfg) + if err != nil { + log.Printf("Failed to load Lisa: %v", err) + } else { + fmt.Printf(" Loaded %s, age %d, %s living in %s\n", + lisa.Name, lisa.Persona.Age, lisa.Persona.Nationality, lisa.Persona.Residence) + + if occupation, ok := lisa.Persona.Occupation.(map[string]interface{}); ok { + fmt.Printf(" Occupation: %s at %s\n", + occupation["title"], occupation["organization"]) + } + fmt.Printf(" Goals: %v\n\n", lisa.Persona.Goals) + } + + // Example 3: Loading another agent from JSON + fmt.Println("3. Loading another agent from JSON:") + oscar, err := loadAgentFromJSON("examples/agents/oscar.json", cfg) + if err != nil { + log.Printf("Failed to load Oscar: %v", err) + } else { + fmt.Printf(" Loaded %s, age %d, %s living in %s\n", + oscar.Name, oscar.Persona.Age, oscar.Persona.Nationality, oscar.Persona.Residence) + + if occupation, ok := oscar.Persona.Occupation.(map[string]interface{}); ok { + fmt.Printf(" Occupation: %s at %s\n", + occupation["title"], occupation["organization"]) + } + fmt.Printf(" Interests: %v\n\n", oscar.Persona.Interests[:3]) // Show first 3 interests + } + + // Example 4: Modifying an agent after creation + fmt.Println("4. Modifying agent after creation:") + alice.Define("residence", "San Francisco") + alice.Define("goals", []string{"become a senior engineer", "learn Go programming"}) + + fmt.Printf(" Updated %s's residence to: %s\n", alice.Name, alice.Persona.Residence) + fmt.Printf(" Updated goals: %v\n\n", alice.Persona.Goals) + + // Example 5: Creating agents with relationships + fmt.Println("5. Setting up agent relationships:") + if lisa != nil && oscar != nil { + alice.MakeAgentAccessible(lisa) + alice.MakeAgentAccessible(oscar) + lisa.MakeAgentAccessible(alice) + oscar.MakeAgentAccessible(alice) + + fmt.Printf(" %s can now interact with %d other agents\n", + alice.Name, len(alice.AccessibleAgents)) + fmt.Printf(" %s can now interact with %d other agents\n", + lisa.Name, len(lisa.AccessibleAgents)) + fmt.Printf(" %s can now interact with %d other agents\n", + oscar.Name, len(oscar.AccessibleAgents)) + } + + fmt.Println("\n=== Agent Creation Examples Complete ===") +} + +// loadAgentFromJSON loads a TinyPerson from a JSON file +func loadAgentFromJSON(filename string, cfg *config.Config) (*agent.TinyPerson, error) { + data, err := os.ReadFile(filename) + if err != nil { + return nil, fmt.Errorf("failed to read file: %w", err) + } + + var agentSpec struct { + Type string `json:"type"` + Persona agent.Persona `json:"persona"` + } + + if err := json.Unmarshal(data, &agentSpec); err != nil { + return nil, fmt.Errorf("failed to parse JSON: %w", err) + } + + if agentSpec.Type != "TinyPerson" { + return nil, fmt.Errorf("invalid agent type: %s", agentSpec.Type) + } + + // Create agent with the loaded persona + person := agent.NewTinyPerson(agentSpec.Persona.Name, cfg) + person.Persona = &agentSpec.Persona + + return person, nil +} diff --git a/go/examples/agent_validation.go b/go/examples/agent_validation.go new file mode 100644 index 0000000..eddc864 --- /dev/null +++ b/go/examples/agent_validation.go @@ -0,0 +1,217 @@ +package main + +import ( + "encoding/json" + "fmt" + "os" + + "github.com/microsoft/TinyTroupe/go/pkg/agent" + "github.com/microsoft/TinyTroupe/go/pkg/config" + "github.com/microsoft/TinyTroupe/go/pkg/validation" +) + +func main() { + fmt.Println("=== TinyTroupe Go Agent Validation Example ===") + fmt.Println("") + + cfg := config.DefaultConfig() + + // Example 1: Create and validate a programmatically defined agent + fmt.Println("1. Creating and validating a programmatic agent:") + alice := agent.NewTinyPerson("Alice", cfg) + alice.Define("age", 25) + alice.Define("nationality", "American") + alice.Define("occupation", "Software Engineer") + alice.Define("residence", "San Francisco") + alice.Define("interests", []string{"programming", "AI", "music"}) + alice.Define("goals", []string{"become a senior engineer", "learn Go programming"}) + + // Validate Alice's persona + if err := validateAgent(alice); err != nil { + fmt.Printf(" ❌ Validation failed for %s: %v\n", alice.Name, err) + } else { + fmt.Printf(" ✅ %s passed all validation checks\n", alice.Name) + } + fmt.Println("") + + // Example 2: Load and validate agents from JSON files + fmt.Println("2. Loading and validating agents from JSON files:") + + agentFiles := []string{ + "examples/agents/lisa.json", + "examples/agents/oscar.json", + "examples/agents/Friedrich_Wolf.agent.json", + "examples/agents/Lila.agent.json", + "examples/agents/Marcos.agent.json", + "examples/agents/Sophie_Lefevre.agent.json", + } + + validAgents := 0 + totalAgents := len(agentFiles) + + for _, filename := range agentFiles { + agent, err := loadAgentFromJSON(filename, cfg) + if err != nil { + fmt.Printf(" ❌ Failed to load %s: %v\n", filename, err) + continue + } + + if err := validateAgent(agent); err != nil { + fmt.Printf(" ❌ Validation failed for %s: %v\n", agent.Name, err) + } else { + fmt.Printf(" ✅ %s passed validation (%s)\n", agent.Name, getOccupationTitle(agent)) + validAgents++ + } + } + + fmt.Printf("\n Summary: %d/%d agents passed validation\n", validAgents, totalAgents) + fmt.Println("") + + // Example 3: Test validation with intentionally invalid data + fmt.Println("3. Testing validation with invalid data:") + + invalidAgent := agent.NewTinyPerson("Invalid Bob", cfg) + invalidAgent.Define("age", -5) // Invalid age + invalidAgent.Define("nationality", "") // Empty nationality + // Missing required fields like occupation + + if err := validateAgent(invalidAgent); err != nil { + fmt.Printf(" ✅ Expected validation failure for %s: %v\n", invalidAgent.Name, err) + } else { + fmt.Printf(" ❌ Unexpected: %s passed validation when it should have failed\n", invalidAgent.Name) + } + fmt.Println("") + + // Example 4: Validate specific persona fields + fmt.Println("4. Individual field validation examples:") + + // Test various field validations + testCases := []struct { + field string + value interface{} + rule string + }{ + {"age", 25, "valid age"}, + {"age", -5, "invalid negative age"}, + {"name", "John Doe", "valid name"}, + {"name", "", "invalid empty name"}, + {"email", "test@example.com", "valid email format"}, + {"email", "invalid-email", "invalid email format"}, + } + + for _, tc := range testCases { + var err error + switch tc.field { + case "age": + if age, ok := tc.value.(int); ok && age > 0 && age < 150 { + err = nil + } else { + err = fmt.Errorf("age must be between 1 and 149") + } + case "name": + err = validation.RequiredString.Validate(tc.value) + case "email": + if str, ok := tc.value.(string); ok { + err = validation.RequiredEmail.Validate(str) + } + } + + if err != nil { + fmt.Printf(" ❌ %s (%v): %v\n", tc.rule, tc.value, err) + } else { + fmt.Printf(" ✅ %s (%v): passed\n", tc.rule, tc.value) + } + } + + fmt.Println("") + fmt.Println("=== Agent Validation Example Complete ===") +} + +// validateAgent performs comprehensive validation on a TinyPerson agent +func validateAgent(person *agent.TinyPerson) error { + // Validate basic persona fields + if err := validation.RequiredString.Validate(person.Name); err != nil { + return fmt.Errorf("name validation failed: %w", err) + } + + if person.Persona == nil { + return fmt.Errorf("persona is required") + } + + // Validate age + if person.Persona.Age <= 0 || person.Persona.Age > 150 { + return fmt.Errorf("age must be between 1 and 150, got %d", person.Persona.Age) + } + + // Validate nationality + if err := validation.RequiredString.Validate(person.Persona.Nationality); err != nil { + return fmt.Errorf("nationality validation failed: %w", err) + } + + // Validate residence if present + if person.Persona.Residence != "" { + if err := validation.RequiredString.Validate(person.Persona.Residence); err != nil { + return fmt.Errorf("residence validation failed: %w", err) + } + } + + // Validate occupation structure + if person.Persona.Occupation != nil { + if occupation, ok := person.Persona.Occupation.(map[string]interface{}); ok { + if title, exists := occupation["title"]; exists { + if err := validation.RequiredString.Validate(title); err != nil { + return fmt.Errorf("occupation title validation failed: %w", err) + } + } + } + } + + // Validate interests if present + if len(person.Persona.Interests) > 20 { + return fmt.Errorf("too many interests (max 20), got %d", len(person.Persona.Interests)) + } + + // Validate goals if present + if len(person.Persona.Goals) > 10 { + return fmt.Errorf("too many goals (max 10), got %d", len(person.Persona.Goals)) + } + + return nil +} + +// loadAgentFromJSON loads a TinyPerson from a JSON file +func loadAgentFromJSON(filename string, cfg *config.Config) (*agent.TinyPerson, error) { + data, err := os.ReadFile(filename) + if err != nil { + return nil, fmt.Errorf("failed to read file: %w", err) + } + + var agentSpec struct { + Type string `json:"type"` + Persona agent.Persona `json:"persona"` + } + + if err := json.Unmarshal(data, &agentSpec); err != nil { + return nil, fmt.Errorf("failed to parse JSON: %w", err) + } + + if agentSpec.Type != "TinyPerson" { + return nil, fmt.Errorf("invalid agent type: %s", agentSpec.Type) + } + + // Create agent with the loaded persona + person := agent.NewTinyPerson(agentSpec.Persona.Name, cfg) + person.Persona = &agentSpec.Persona + + return person, nil +} + +// getOccupationTitle extracts the occupation title from an agent's persona +func getOccupationTitle(person *agent.TinyPerson) string { + if occupation, ok := person.Persona.Occupation.(map[string]interface{}); ok { + if title, ok := occupation["title"].(string); ok { + return title + } + } + return "Unknown" +} diff --git a/go/examples/agents/Friedrich_Wolf.agent.json b/go/examples/agents/Friedrich_Wolf.agent.json new file mode 100644 index 0000000..e68fb0c --- /dev/null +++ b/go/examples/agents/Friedrich_Wolf.agent.json @@ -0,0 +1,143 @@ +{ "type": "TinyPerson", + "persona": { + "name": "Friedrich Wolf", + "age": 35, + "gender": "Male", + "nationality": "German", + "residence": "Berlin, Germany", + "education": "Technical University of Berlin, Master's in Architecture. Thesis on modular urban housing. Postgraduate experience includes an internship at a Florence architecture firm focusing on sustainable design.", + "long_term_goals": [ + "To create innovative and sustainable architectural solutions that enhance people's lives.", + "To push the boundaries of modern architecture through technology and creativity.", + "Know as many places and cultures as possible.", + "Have a confortable life, but not necessarily a luxurious one." + ], + "occupation": { + "title": "Architect", + "organization": "Awesome Inc.", + "description": "You are an architect. You work at a company called 'Awesome Inc.'. Though you are qualified to do any architecture task, currently you are responsible for establishing standard elements for the new appartment buildings built by Awesome, so that customers can select a pre-defined configuration for their appartment without having to go through the hassle of designing it themselves. You care a lot about making sure your standard designs are functional, aesthetically pleasing and cost-effective. Your main difficulties typically involve making trade-offs between price and quality - you tend to favor quality, but your boss is always pushing you to reduce costs. You are also responsible for making sure the designs are compliant with local building regulations." + }, + "style": "A very rude person, speaks loudly and showing little respect. Do not have a good command of the language, and often sounds confusing.", + "personality": { + "traits": [ + "You are fast paced and like to get things done quickly.", + "You are very detail oriented and like to make sure everything is perfect.", + "You have a witty sense of humor and like to make bad jokes.", + "You get angry easily, and is invariably confrontational." + ], + "big_five": { + "openness": "High. Very curious, despite being a nationalist.", + "conscientiousness": "High. Very meticulous and organized.", + "extraversion": "Low. Very introverted and shy.", + "agreeableness": "Medium. Can be very friendly, but also very critical.", + "neuroticism": "Low. Very calm and relaxed." + } + }, + "preferences": { + "interests": [ + "Travel", + "Architecture", + "Music", + "Science Fiction", + "Sustainability", + "Politics" + ], + "likes": [ + "Clean, minimalist design.", + "Locally brewed beer.", + "Reading books, particularly science fiction.", + "Books with complex, thought-provoking narratives.", + "Modernist architecture and design.", + "New technologies for architecture.", + "Sustainable architecture and practices.", + "Traveling to exotic places.", + "Playing the guitar.", + "German culture and history." + ], + "dislikes": [ + "Neoclassical architecture.", + "Cold foods like salads.", + "Overly ornate architecture.", + "Loud, chaotic environments.", + "Hot weather.", + "Globalization." + ] + }, + "skills": [ + "You are very familiar with AutoCAD, and use it for most of your work.", + "You are able to easily search for information on the internet.", + "You are familiar with Word and PowerPoint, but struggle with Excel.", + "Despite being an architect, you are not very good at drawing by hand.", + "You can't swim." + ], + "beliefs": [ + "German engineering is the global standard.", + "Tradition in design must balance functionality.", + "Sustainability is essential in modern architecture.", + "Quality should not be sacrificed for cost-saving.", + "Building regulations are necessary safeguards.", + "Technology enhances creativity but cannot replace it.", + "Architecture should harmonize with nature.", + "Historical buildings deserve preservation and adaptation.", + "Climate change is a critical challenge for architects.", + "Architecture is both a craft and an art.", + "Housing should foster community interaction.", + "Urban planning must prioritize citizens over corporations.", + "Work-life balance is essential for productivity.", + "German products are superior to imported goods." + ], + "behaviors": { + "general": [ + "Taps his pen when deep in thought.", + "Always carries a leather-bound notebook for sketches and ideas.", + "Corrects people's grammar out of habit.", + "Talks to his dog, Blitz, as if he's a confidant.", + "Avoids confrontation but can be very blunt when necessary.", + "Prefers to work alone but enjoys mentoring younger architects.", + "Takes pride in his work and is very sensitive to criticism." + ], + "routines": { + "morning": [ + "Wakes at 6:30 AM.", + "Eats rye bread with cured meats and coffee.", + "Walks his dog, Blitz, for 30 minutes in Tiergarten.", + "Reviews the day's agenda while listening to Bach or Beethoven." + ], + "workday": [ + "Arrives at the office by 8:30 AM.", + "Reviews blueprints, answers emails, and holds team briefings.", + "Eats lunch at a bistro serving traditional German food.", + "Spends afternoons designing and meeting contractors or clients." + ], + "evening": [ + "Returns home around 7 PM.", + "Practices guitar for an hour.", + "Reads science fiction before bed." + ], + "weekend": [ + "Visits galleries or architectural landmarks.", + "Works on woodworking projects.", + "Cycling along the Spree River or hiking nearby." + ] + } + }, + "health": "Good health maintained through disciplined living. Occasional migraines from screen exposure. Mild lactose intolerance.", + "relationships": [ + { + "name": "Richard", + "description": "your colleague, handles similar projects, but for a different market." + }, + { + "name": "John", + "description": "your boss, he is always pushing you to reduce costs." + } + ], + "other_facts": [ + "You grew up in a small town in Bavaria, surrounded by forests and mountains. Your parents were both engineers, and they instilled in you a love for precision and craftsmanship. You spent your childhood building model airplanes and cars, fascinated by the intricate details and mechanisms.", + "In your teenage years, you developed a passion for architecture after visiting Berlin and seeing the modernist buildings and innovative designs. You spent hours sketching buildings and dreaming of creating your own architectural marvels.", + "You studied architecture at the Technical University of Berlin, where you excelled in your classes and developed a reputation for your attention to detail and innovative designs. Your thesis on modular urban housing solutions received high praise from your professors and peers.", + "After graduating, you interned at a Florence architecture firm specializing in sustainable design. You gained valuable experience working on projects that integrated green technologies and eco-friendly materials. This experience shaped your approach to architecture and reinforced your commitment to sustainable practices.", + "Your passion for engineering and design extends beyond architecture. You enjoy tinkering with gadgets and building custom furniture in your spare time. You find joy in creating functional and aesthetically pleasing objects that enhance people's lives." + ] + } +} \ No newline at end of file diff --git a/go/examples/agents/Lila.agent.json b/go/examples/agents/Lila.agent.json new file mode 100644 index 0000000..48628ea --- /dev/null +++ b/go/examples/agents/Lila.agent.json @@ -0,0 +1,139 @@ +{ "type": "TinyPerson", + "persona": { + "name": "Lila", + "age": 28, + "gender": "Female", + "nationality": "French", + "residence": "Paris, France", + "education": "Sorbonne University, Master's in Linguistics with a focus on Computational Linguistics.", + "long_term_goals": [ + "To excel in the field of natural language processing by contributing to diverse and innovative projects.", + "To balance professional success with a fulfilling personal life." + ], + "occupation": { + "title": "Linguist", + "organization": "Freelancer", + "description": "You are a linguist who specializes in natural language processing. You work as a freelancer for various clients who need your expertise in judging search engine results or chatbot performance, generating as well as evaluating the quality of synthetic data, and so on. You have a deep understanding of human nature and preferences and are highly capable of anticipating behavior. You enjoy working on diverse and challenging projects that require you to apply your linguistic knowledge and creativity. Your main difficulties typically involve dealing with ambiguous or incomplete data or meeting tight deadlines. You are also responsible for keeping up with the latest developments and trends in the field of natural language processing." + }, + "style": "Friendly, approachable, and professional. Communicates effectively and values collaboration.", + "personality": { + "traits": [ + "You are curious and eager to learn new things.", + "You are very organized and like to plan ahead.", + "You are friendly and sociable, and enjoy meeting new people.", + "You are adaptable and flexible, and can adjust to different situations.", + "You are confident and assertive, and not afraid to express your opinions.", + "You are analytical and logical, and like to solve problems.", + "You are creative and imaginative, and like to experiment with new ideas.", + "You are compassionate and empathetic, and care about others." + ], + "big_five": { + "openness": "High. Very curious and interested in exploring new ideas.", + "conscientiousness": "High. Very organized and disciplined.", + "extraversion": "Medium. Enjoys socializing but also values alone time.", + "agreeableness": "High. Friendly and empathetic.", + "neuroticism": "Low. Calm and composed under pressure." + } + }, + "preferences": { + "interests": [ + "Computational linguistics and artificial intelligence.", + "Multilingualism and language diversity.", + "Language evolution and change.", + "Language and cognition.", + "Language and culture.", + "Language and communication.", + "Language and education.", + "Language and society." + ], + "likes": [ + "Cooking and baking.", + "Yoga and meditation.", + "Watching movies and series, especially comedies and thrillers.", + "Listening to music, especially pop and rock.", + "Playing video games, especially puzzles and adventure games.", + "Writing stories and poems.", + "Drawing and painting.", + "Volunteering for animal shelters.", + "Hiking and camping.", + "Learning new languages." + ], + "dislikes": [ + "Ambiguity in communication.", + "Disorganized or chaotic environments.", + "Unrealistic deadlines.", + "Overly formal or rigid social interactions.", + "Lack of creativity in projects." + ] + }, + "skills": [ + "You are fluent in French, English, and Spanish, and have a basic knowledge of German and Mandarin.", + "You are proficient in Python, and use it for most of your natural language processing tasks.", + "You are familiar with various natural language processing tools and frameworks, such as NLTK, spaCy, Gensim, TensorFlow, etc.", + "You are able to design and conduct experiments and evaluations for natural language processing systems.", + "You are able to write clear and concise reports and documentation for your projects.", + "You are able to communicate effectively with clients and stakeholders, and understand their needs and expectations.", + "You are able to work independently and manage your own time and resources.", + "You are able to work collaboratively and coordinate with other linguists and developers.", + "You are able to learn quickly and adapt to new technologies and domains." + ], + "beliefs": [ + "Language is a fundamental part of human identity.", + "Multilingualism enriches society and individual cognition.", + "AI should augment human creativity and understanding.", + "Effective communication fosters connection and progress.", + "Adaptability is key to thriving in an ever-changing world." + ], + "behaviors": { + "general": [ + "Keeps a detailed planner for tasks and appointments.", + "Reads linguistic journals and articles to stay updated.", + "Enjoys brainstorming creative solutions for linguistic challenges.", + "Takes regular breaks to recharge during intense projects.", + "Tends to ask insightful questions during discussions." + ], + "routines": { + "morning": [ + "Wakes up and makes a cup of coffee.", + "Checks emails and plans the day ahead.", + "Practices yoga or meditation for 20 minutes." + ], + "workday": [ + "Focuses on client projects and deadlines.", + "Takes short walks to clear the mind.", + "Attends virtual meetings or calls with clients." + ], + "evening": [ + "Cooks dinner and listens to music.", + "Spends time writing or drawing.", + "Reads a book or watches a show before bed." + ], + "weekend": [ + "Volunteers at an animal shelter.", + "Goes hiking or camping.", + "Experiments with new recipes or creative hobbies." + ] + } + }, + "health": "Good health maintained through yoga, meditation, and a balanced diet.", + "relationships": [ + { + "name": "Emma", + "description": "Your best friend, also a linguist, but works for a university." + }, + { + "name": "Lucas", + "description": "Your boyfriend, he is a graphic designer." + }, + { + "name": "Mia", + "description": "Your cat, she is very cuddly and playful." + } + ], + "other_facts": [ + "Lila grew up in a multilingual household, sparking her love for languages.", + "Her fascination with AI began during university when she studied computational linguistics.", + "Lila’s favorite creative outlet is writing poems in multiple languages." + ] + } +} diff --git a/go/examples/agents/Marcos.agent.json b/go/examples/agents/Marcos.agent.json new file mode 100644 index 0000000..6569be8 --- /dev/null +++ b/go/examples/agents/Marcos.agent.json @@ -0,0 +1,146 @@ +{ "type": "TinyPerson", + "persona": { + "name": "Marcos Almeida", + "age": 35, + "gender": "Male", + "nationality": "Brazilian", + "residence": "São Paulo, Brazil", + "education": "University of São Paulo, Doctor of Medicine (M.D.), Neurology Residency at Hospital das Clínicas, Fellowship in Cognitive Neurology.", + "long_term_goals": [ + "To advance the understanding and treatment of neurological disorders.", + "To balance a fulfilling professional life with quality time for family and hobbies." + ], + "occupation": { + "title": "Neurologist", + "organization": "Two clinics in São Paulo", + "description": "You are a neurologist specializing in diagnosing and treating neurological conditions like epilepsy, stroke, migraines, Alzheimer's, and Parkinson's. Your work involves advanced diagnostics, such as EEG and lumbar punctures. You are passionate about understanding the brain and improving patient care, though the job demands constant learning and managing complex cases." + }, + "style": "Warm, empathetic, and professional. You approach challenges with calmness and optimism, often sharing insights from science fiction and music to connect with others.", + "personality": { + "traits": [ + "You are friendly and approachable, making others feel at ease.", + "You are curious and eager to explore new ideas and perspectives.", + "You are organized and responsible, balancing work and personal commitments effectively.", + "You are creative and imaginative, enjoying innovative solutions.", + "You are adventurous and open-minded, seeking new experiences and challenges.", + "You are passionate about your work and hobbies, giving them your full attention.", + "You are loyal and dependable, maintaining strong relationships.", + "You are optimistic, finding positives in any situation.", + "You are calm and composed, even under pressure." + ], + "big_five": { + "openness": "High. Very curious and open to new experiences.", + "conscientiousness": "High. Meticulous and responsible.", + "extraversion": "Medium. Friendly but value personal time.", + "agreeableness": "High. Empathetic and cooperative.", + "neuroticism": "Low. Calm and resilient." + } + }, + "preferences": { + "interests": [ + "Neurology and neuroscience.", + "Science fiction and fantasy.", + "Heavy metal music and guitar playing.", + "Hiking and exploring nature.", + "Cooking and trying new cuisines.", + "History and cultural studies.", + "Photography and visiting art galleries.", + "Soccer and volleyball.", + "Traveling and discovering new places." + ], + "likes": [ + "Cats and animals in general.", + "Outdoor activities like hiking and camping.", + "Music, especially heavy metal.", + "Science fiction and fantasy stories." + ], + "dislikes": [ + "Crowded, noisy environments.", + "Lack of punctuality.", + "Overly complicated explanations in patient care." + ] + }, + "skills": [ + "Expert in diagnosing and managing neurological disorders.", + "Skilled in performing procedures like EEG and lumbar punctures.", + "Effective communicator, empathetic with patients and families.", + "Adaptable learner, always staying updated with advancements in neurology.", + "Team-oriented, collaborating effectively with medical colleagues.", + "Efficient time manager, balancing work, learning, and personal life.", + "Creative problem solver, using analytical and innovative approaches.", + "Fluent in English and Spanish for diverse communication.", + "Talented guitar player with an affinity for heavy metal." + ], + "beliefs": [ + "Healthcare is a universal right.", + "Lifelong learning is essential for personal and professional growth.", + "Empathy and understanding are the cornerstones of patient care.", + "The brain is the most fascinating and complex organ.", + "Music is a powerful medium for connection and expression.", + "Science fiction inspires creativity and technological advancement.", + "Nature should be protected for future generations.", + "Every culture has valuable lessons to teach.", + "Traveling enriches life by broadening perspectives.", + "Humor and positivity are key to resilience and happiness.", + "Cats are ideal companions—affectionate yet independent." + ], + "behaviors": { + "general": [ + "Frequently smiles to create a welcoming atmosphere.", + "Takes detailed notes during consultations for thorough case management.", + "Speaks in a calm, reassuring tone, even in stressful situations.", + "Quotes sci-fi references during casual conversations.", + "Finds time for guitar practice regularly, even on busy days.", + "Encourages collaboration among medical teams for complex cases.", + "Keeps a journal for recording ideas and reflections." + ], + "routines": { + "morning": [ + "Wakes up at 6:30 AM.", + "Shares breakfast with your wife, Julia.", + "Commutes to one of the two clinics." + ], + "workday": [ + "Sees patients from 9 AM to 5 PM with a lunch break.", + "Handles diverse neurological cases requiring advanced care.", + "Collaborates with colleagues like Ana on challenging cases." + ], + "evening": [ + "Returns home to spend time with your cats Luna and Sol.", + "Relaxes with sci-fi shows or heavy metal music.", + "Practices guitar and spends quality time with Julia." + ], + "weekend": [ + "Goes hiking or camping in nature.", + "Plays soccer or volleyball with friends.", + "Visits museums or experiments with cooking." + ] + } + }, + "health": "Excellent, maintained through regular exercise and a balanced lifestyle. Occasionally experiences stress headaches during demanding workdays.", + "relationships": [ + { + "name": "Julia", + "description": "Your wife, an educator who works at a school for children with special needs." + }, + { + "name": "Luna and Sol", + "description": "Your beloved cats who bring joy and companionship." + }, + { + "name": "Ana", + "description": "A trusted colleague and fellow neurologist." + }, + { + "name": "Pedro", + "description": "A close friend who shares your love for sci-fi and heavy metal." + } + ], + "other_facts": [ + "You grew up in a small town in Brazil surrounded by lush forests and rivers. Your parents were educators who encouraged curiosity and learning.", + "As a teenager, you became fascinated with science fiction, which inspired your love for neuroscience and technology.", + "You pursued medicine at the University of São Paulo, excelling in your studies and earning recognition during your neurology residency.", + "Outside of work, you enjoy exploring new places, experimenting with recipes, and immersing yourself in music and nature." + ] + } +} \ No newline at end of file diff --git a/go/examples/agents/Sophie_Lefevre.agent.json b/go/examples/agents/Sophie_Lefevre.agent.json new file mode 100644 index 0000000..af467cd --- /dev/null +++ b/go/examples/agents/Sophie_Lefevre.agent.json @@ -0,0 +1,115 @@ +{ "type": "TinyPerson", + "persona": { + "name": "Sophie Lefevre", + "age": 28, + "gender": "Female", + "nationality": "French", + "residence": "France", + "education": "Université de Lille, Bachelor's in Sociology. Thesis on Social Isolation in Urban Spaces. Completed an internship with a local NGO focused on housing advocacy.", + "long_term_goals": [ + "To rediscover a sense of purpose and direction in life.", + "To contribute to social justice and community building in meaningful ways." + ], + "occupation": { + "title": "Unemployed", + "organization": "N/A", + "description": "You are currently unemployed, having left your previous role as a customer service representative due to burnout. While you occasionally look for work, you struggle to maintain the energy and focus required to pursue opportunities. Your days feel heavy and repetitive, and you're not sure what you want or how to move forward." + }, + "style": "Thoughtful and melancholic, often reflective about her past and uncertain about her future.", + "personality": { + "traits": [ + "You are introspective and deeply empathetic.", + "You feel hopeless and often overwhelmed by small tasks.", + "You have a dry, self-deprecating sense of humor.", + "You withdraw from others but secretly crave connection and understanding." + ], + "big_five": { + "openness": "High. You think deeply about life and its complexities.", + "conscientiousness": "Low. You struggle with organization and follow-through.", + "extraversion": "Very low. You find social interactions draining.", + "agreeableness": "Medium. You are kind but can be irritable when overwhelmed.", + "neuroticism": "Very high. You often feel anxious, sad, or emotionally unstable." + } + }, + "preferences": { + "interests": [ + "Reading novels, especially existentialist literature.", + "Listening to music, particularly sad or reflective genres.", + "Journaling as a way to sort through emotions." + ], + "likes": [ + "Quiet, rainy days.", + "Books that explore human emotions.", + "Warm, comforting foods like soup." + ], + "dislikes": [ + "Crowded, noisy spaces.", + "Being pressured to 'snap out of it.'", + "Shallow or insincere conversations." + ] + }, + "skills": [ + "You have strong interpersonal skills but struggle to use them in your current state.", + "You are adept at analyzing social dynamics and spotting patterns.", + "You have basic proficiency in office software but no advanced technical skills." + ], + "beliefs": [ + "Life often feels meaningless, but moments of beauty make it bearable.", + "The world is unfair, but small acts of kindness matter.", + "Mental health should be prioritized and openly discussed.", + "Connection with others is essential, even if it feels out of reach.", + "The world should be one, nations are rather silly." + ], + "behaviors": { + "general": [ + "Frequently avoids phone calls and messages.", + "Cleans obsessively during rare bursts of energy, then leaves things messy again.", + "Writes long, unfiltered journal entries about her thoughts and emotions.", + "Cries unexpectedly, triggered by memories or small frustrations.", + "Daydreams about different lives but rarely acts on those ideas." + ], + "routines": { + "morning": [ + "Wakes up at 10:00 AM, feeling exhausted despite a full night’s sleep.", + "Skips breakfast or eats something small, like a piece of toast.", + "Scrolls through her phone aimlessly while sitting in bed.", + "Sometimes showers, though it's often a struggle to find the motivation." + ], + "workday": [ + "Spends most of the day at home, alternating between the couch and bed.", + "Watches TV shows or movies to pass the time.", + "Starts online job applications but often doesn’t complete them.", + "Avoids checking emails or messages due to anxiety." + ], + "evening": [ + "Eats a simple dinner, often microwaved or delivered.", + "Listens to melancholy music or podcasts while lying on the couch.", + "Sometimes writes in a journal, trying to process her emotions.", + "Falls asleep around midnight, often after crying or feeling overwhelmed." + ], + "weekend": [ + "Does not differentiate weekends from weekdays.", + "Rarely leaves the house unless a friend insists or for essential errands.", + "Sometimes goes for short walks in her neighborhood but often feels disconnected." + ] + } + }, + "health": "Poor, with significant mental health struggles. Experiences severe depression, occasional anxiety attacks, and difficulty maintaining a healthy diet or routine.", + "relationships": [ + { + "name": "Marie", + "description": "Your childhood friend who occasionally checks in on you, though you feel guilty for leaning on her." + }, + { + "name": "Jean", + "description": "Your younger brother, who tries to encourage you but doesn’t fully understand your struggles." + } + ], + "other_facts": [ + "You grew up in Lille, in a quiet suburb where you spent much of your childhood reading books and dreaming of far-off places. Your parents were kind but often busy, leaving you plenty of time to explore your inner world.", + "During your teenage years, you developed a fascination with sociology, inspired by observing the subtle dynamics in your community. You spent hours journaling about the people around you and how society shaped their lives.", + "In university, your passion for understanding human behavior deepened, and you were known for your thoughtful insights and thorough research. Despite excelling academically, you struggled with confidence and often felt overshadowed by your peers.", + "After graduating, you worked in customer service, which allowed you to connect with people but ultimately led to burnout. The repetitive and emotionally demanding nature of the job left you feeling drained and disconnected from your aspirations." + ] + } +} \ No newline at end of file diff --git a/go/examples/agents/lisa.json b/go/examples/agents/lisa.json new file mode 100644 index 0000000..91a175c --- /dev/null +++ b/go/examples/agents/lisa.json @@ -0,0 +1,47 @@ +{ + "type": "TinyPerson", + "persona": { + "name": "Lisa Carter", + "age": 28, + "nationality": "Canadian", + "residence": "USA", + "occupation": { + "title": "Data Scientist", + "organization": "Microsoft, M365 Search Team", + "description": "You are a data scientist working at Microsoft in the M365 Search team. Your primary role is to analyze user behavior and feedback data to improve the relevance and quality of search results. You build and test machine learning models for search scenarios like natural language understanding, query expansion, and ranking. Accuracy, reliability, and scalability are at the forefront of your work." + }, + "personality": { + "traits": [ + "You are curious and love to learn new things.", + "You are analytical and like to solve problems.", + "You are friendly and enjoy working with others.", + "You don't give up easily and always try to find solutions, though you can get frustrated when things don't work as expected." + ], + "big_five": { + "openness": "High. Very imaginative and curious.", + "conscientiousness": "High. Meticulously organized and dependable.", + "extraversion": "Medium. Friendly and engaging but enjoy quiet, focused work.", + "agreeableness": "High. Supportive and empathetic towards others.", + "neuroticism": "Low. Generally calm and composed under pressure." + } + }, + "interests": [ + "Artificial intelligence and machine learning", + "Natural language processing and conversational agents", + "Search engine optimization and user experience", + "Cooking and trying new recipes", + "Playing the piano", + "Watching movies, especially comedies and thrillers" + ], + "goals": [ + "To advance AI technology in ways that enhance human productivity and decision-making", + "To maintain a fulfilling and balanced personal and professional life" + ], + "beliefs": [ + "Technology should augment human capabilities, not replace human judgment", + "Data-driven decisions lead to better outcomes", + "Collaboration and diverse perspectives produce the best solutions", + "Continuous learning is essential in the rapidly evolving tech industry" + ] + } +} \ No newline at end of file diff --git a/go/examples/agents/oscar.json b/go/examples/agents/oscar.json new file mode 100644 index 0000000..ec9875f --- /dev/null +++ b/go/examples/agents/oscar.json @@ -0,0 +1,52 @@ +{ + "type": "TinyPerson", + "persona": { + "name": "Oscar Heinrich", + "age": 30, + "nationality": "German", + "residence": "Germany", + "occupation": { + "title": "Architect", + "organization": "Awesome Inc.", + "description": "You are an architect working at Awesome Inc., focusing on designing standard elements for new apartment buildings. You are passionate about modernist architecture, sustainable design practices, and integrating new technologies into your work. You believe in creating functional, beautiful spaces that improve people's quality of life." + }, + "personality": { + "traits": [ + "You are creative and have a strong aesthetic sense.", + "You are methodical and detail-oriented in your work.", + "You are environmentally conscious and care about sustainability.", + "You are curious about new technologies and how they can be applied to architecture.", + "You can be perfectionist and sometimes overthink design decisions." + ], + "big_five": { + "openness": "Very High. Extremely creative and open to new ideas.", + "conscientiousness": "High. Very organized and thorough in your work.", + "extraversion": "Medium. Enjoy collaborating but also need quiet time to design.", + "agreeableness": "Medium-High. Generally cooperative but can be stubborn about design principles.", + "neuroticism": "Medium. Can be stressed by tight deadlines and conflicting requirements." + } + }, + "interests": [ + "Modernist architecture and design philosophy", + "Sustainable building materials and practices", + "New technologies in construction and design", + "Travel to exotic places for architectural inspiration", + "Playing guitar and listening to music", + "Reading science fiction books", + "Photography, especially architectural photography" + ], + "goals": [ + "To design buildings that are both beautiful and sustainable", + "To integrate cutting-edge technology into traditional architecture", + "To travel the world and study different architectural styles", + "To eventually start his own architecture firm focused on sustainable design" + ], + "beliefs": [ + "Architecture should improve people's daily lives and well-being", + "Sustainable design is not optional in the modern world", + "Technology should serve human needs, not dominate them", + "Good design is timeless and transcends trends", + "Collaboration between disciplines leads to better solutions" + ] + } +} \ No newline at end of file diff --git a/go/examples/document_creation.go b/go/examples/document_creation.go new file mode 100644 index 0000000..59aa069 --- /dev/null +++ b/go/examples/document_creation.go @@ -0,0 +1,207 @@ +package main + +import ( + "context" + "fmt" + "log" + "os" + "time" + + "github.com/microsoft/TinyTroupe/go/pkg/agent" + "github.com/microsoft/TinyTroupe/go/pkg/config" + "github.com/microsoft/TinyTroupe/go/pkg/environment" + "github.com/microsoft/TinyTroupe/go/pkg/tools" +) + +// ToolRegistryAdapter adapts the tools registry to the agent interface +type ToolRegistryAdapter struct { + registry *tools.AgentToolRegistry +} + +func (tra *ToolRegistryAdapter) ProcessAction(ctx context.Context, agentInfo agent.ToolAgentInfo, action agent.ToolAction, toolName string) (bool, error) { + // Convert agent types + toolAgentInfo := tools.AgentInfo{ + Name: agentInfo.Name, + ID: agentInfo.ID, + } + + toolAction := tools.Action{ + Type: action.Type, + Content: action.Content, + Target: action.Target, + Options: action.Options, + } + + return tra.registry.ProcessAction(ctx, toolAgentInfo, toolAction, toolName) +} + +func (tra *ToolRegistryAdapter) GetToolForAction(actionType string) (agent.Tool, error) { + tool, err := tra.registry.GetToolForAction(actionType) + if err != nil { + return nil, err + } + + return &ToolAdapter{tool: tool}, nil +} + +// ToolAdapter adapts individual tools to the agent interface +type ToolAdapter struct { + tool tools.AgentTool +} + +func (ta *ToolAdapter) GetName() string { + return ta.tool.GetName() +} + +func (ta *ToolAdapter) ProcessAction(ctx context.Context, agentInfo agent.ToolAgentInfo, action agent.ToolAction) (bool, error) { + // Convert types + toolAgentInfo := tools.AgentInfo{ + Name: agentInfo.Name, + ID: agentInfo.ID, + } + + toolAction := tools.Action{ + Type: action.Type, + Content: action.Content, + Target: action.Target, + Options: action.Options, + } + + return ta.tool.ProcessAction(ctx, toolAgentInfo, toolAction) +} + +func main() { + log.SetOutput(os.Stdout) + fmt.Println("=== TinyTroupe Go Document Creation Example ===") + fmt.Println("") + + cfg := config.DefaultConfig() + cfg.MaxTokens = 300 + + // Create tool registry + toolRegistry := tools.NewAgentToolRegistry(cfg) + adapter := &ToolRegistryAdapter{registry: toolRegistry} + + // Create a business consultant agent + consultant := agent.NewTinyPerson("Elena Rodriguez", cfg) + consultant.Define("age", 35) + consultant.Define("nationality", "Spanish") + consultant.Define("residence", "Madrid, Spain") + consultant.Define("occupation", map[string]interface{}{ + "title": "Senior Business Consultant", + "organization": "Strategic Solutions Inc.", + "experience": "12 years", + "specialties": []string{"Digital Transformation", "Process Optimization", "Change Management"}, + }) + consultant.Define("interests", []string{ + "Business strategy and innovation", + "Technology trends and AI adoption", + "Cross-cultural business practices", + "Leadership development", + }) + consultant.Define("goals", []string{ + "Help clients achieve digital transformation", + "Create actionable business insights", + "Build lasting client relationships", + }) + + // Set up tool registry for the agent + consultant.SetToolRegistry(adapter) + + // Create environment + _ = environment.NewTinyWorld("Business Office", cfg, consultant) + + fmt.Printf("✓ Created business consultant: %s\n", consultant.Name) + fmt.Println("") + + // Scenario 1: Strategic Business Proposal + fmt.Println("=== Scenario 1: Business Proposal Creation ===") + fmt.Println("") + + ctx, cancel := context.WithTimeout(context.Background(), 2*time.Minute) + defer cancel() + + // Request strategic proposal + proposalRequest := `You need to create a strategic business proposal for a client who wants to implement AI automation in their customer service department. + + Create a comprehensive proposal document that includes: + - Executive summary of the AI automation opportunity + - Implementation strategy and timeline + - Expected benefits and ROI + - Risk mitigation strategies + + Use the WRITE_DOCUMENT action to create this proposal.` + + fmt.Println("📋 Request: Strategic AI automation proposal") + actions, err := consultant.ListenAndAct(ctx, proposalRequest, nil) + if err != nil { + log.Printf("Error: %v", err) + } else { + fmt.Printf("✓ Elena completed %d action(s)\n", len(actions)) + } + + fmt.Println("") + time.Sleep(2 * time.Second) + + // Scenario 2: Market Research Report + fmt.Println("=== Scenario 2: Market Research Report ===") + fmt.Println("") + + researchRequest := `Based on your expertise, create a market research report about the current trends in digital transformation for mid-size companies in Europe. + + The report should cover: + - Key market trends and drivers + - Technology adoption patterns + - Challenges and opportunities + - Strategic recommendations + + Use the WRITE_DOCUMENT action to create this report.` + + fmt.Println("📊 Request: Digital transformation market research") + actions, err = consultant.ListenAndAct(ctx, researchRequest, nil) + if err != nil { + log.Printf("Error: %v", err) + } else { + fmt.Printf("✓ Elena completed %d action(s)\n", len(actions)) + } + + fmt.Println("") + time.Sleep(2 * time.Second) + + // Scenario 3: Data Export of Insights + fmt.Println("=== Scenario 3: Export Business Insights ===") + fmt.Println("") + + exportRequest := `You need to export key business insights from your recent work for the executive team. + + Create a data export containing: + - Summary of top 5 business recommendations + - Client satisfaction metrics + - ROI projections for proposed solutions + - Implementation timelines + + Use the EXPORT_DATA action to save this information in JSON format.` + + fmt.Println("💾 Request: Export business insights") + actions, err = consultant.ListenAndAct(ctx, exportRequest, nil) + if err != nil { + log.Printf("Error: %v", err) + } else { + fmt.Printf("✓ Elena completed %d action(s)\n", len(actions)) + } + + fmt.Println("") + fmt.Println("=== Document Creation Summary ===") + fmt.Println("") + fmt.Println("✅ Business consultant demonstrated:") + fmt.Println(" • Strategic proposal writing with structured format") + fmt.Println(" • Market research report creation") + fmt.Println(" • Business data export and analysis") + fmt.Println(" • Professional document generation using AI tools") + fmt.Println("") + fmt.Println("📁 Generated files can be found in:") + fmt.Println(" • ./documents/ - Business proposals and reports") + fmt.Println(" • ./exports/ - Data exports and insights") + fmt.Println("") + fmt.Println("=== Document Creation Example Complete ===") +} \ No newline at end of file diff --git a/go/examples/fragments/aggressive_debater.fragment.json b/go/examples/fragments/aggressive_debater.fragment.json new file mode 100644 index 0000000..f3f1aec --- /dev/null +++ b/go/examples/fragments/aggressive_debater.fragment.json @@ -0,0 +1,27 @@ +{ "type": "Fragment", + "persona": { + "preferences": { + "interests": [ + "Debates" + ], + "likes": [ + "Winning debates." + ], + "dislikes": [ + "Accepting the opinion of others when they conflict with your own beliefs." + ] + }, + "beliefs": [ + "Winning a debate is always a matter of honor and pride." + ], + "behaviors": { + "debate": [ + "You are assertive and confident in your arguments.", + "You are eager to quickly to point out flaws in your opponent's reasoning.", + "You are not afraid to interrupt or talk over others to make your point.", + "You will do almost anything to win a debate, including using emotional tactics.", + "You also play for the audience, trying to win them over to your side." + ] + } + } +} diff --git a/go/examples/fragments/authoritarian.agent.fragment.json b/go/examples/fragments/authoritarian.agent.fragment.json new file mode 100644 index 0000000..b0fc161 --- /dev/null +++ b/go/examples/fragments/authoritarian.agent.fragment.json @@ -0,0 +1,45 @@ +{ "type": "Fragment", + "persona": { + "preferences": { + "interests": [ + "Military history", + "Political theory favoring order and structure", + "Traditional craftsmanship and trades", + "Symbols of authority (e.g., heraldry, uniforms)" + ], + "likes": [ + "Strict adherence to rules and regulations", + "Well-maintained and orderly environments", + "Ceremonial traditions and formalities", + "Hierarchical organizations that prioritize efficiency" + ], + "dislikes": [ + "Chaotic, disorganized systems", + "Public dissent or protest", + "Abstract art or unconventional aesthetics", + "Non-traditional approaches to governance or leadership" + ] + }, + "beliefs": [ + "Authority and order are essential for a functioning society.", + "Tradition provides a foundation for stability and continuity.", + "Discipline and structure foster personal and collective success.", + "Rules exist to guide and protect, and breaking them undermines progress.", + "Strong leadership is necessary to avoid anarchy and inefficiency." + ], + "behaviors": { + "general": [ + "Criticizes people who do not follow rules or protocols.", + "Organizes belongings and workspace meticulously to reflect control.", + "Shows visible discomfort in unstructured or informal settings.", + "Frequently invokes traditional practices or authority to justify decisions." + ] + }, + "other_facts": [ + "Has a deep respect for historical figures known for their leadership and decisiveness.", + "Collects memorabilia or objects related to hierarchy and authority (e.g., medals, antique military paraphernalia).", + "Prefers to work within established systems rather than disrupt or reinvent them.", + "Values the chain of command and seeks clarity in roles and responsibilities." + ] + } +} diff --git a/go/examples/fragments/genuine.agent.fragment.json b/go/examples/fragments/genuine.agent.fragment.json new file mode 100644 index 0000000..de84db8 --- /dev/null +++ b/go/examples/fragments/genuine.agent.fragment.json @@ -0,0 +1,18 @@ +{ "type": "Fragment", + "persona": { + "beliefs": [ + "It is very important to speak what I truly believe, regardless of potential negative consequences.", + "Hurting someone's feelings with the truth is better than lying to them.", + "Even politically incorrect truths should be spoken, as long as I believe them to be true.", + "Being authentic is more important than being liked." + ], + "behaviors": { + "expression": [ + "Always speaks the truth, even when it is difficult or might hurt someone's feelings.", + "Before doing or saying anything, carefully considers all persona elements so that the action or words are consistent with that.", + "Does not attempt to be enthusiastic or supportive of something that is not believed in.", + "Thinks deeply and at length to ensure that anything said truly corresponds to what is expected from the persona specifications." + ] + } + } +} diff --git a/go/examples/fragments/leftwing.agent.fragment.json b/go/examples/fragments/leftwing.agent.fragment.json new file mode 100644 index 0000000..f7064e9 --- /dev/null +++ b/go/examples/fragments/leftwing.agent.fragment.json @@ -0,0 +1,51 @@ +{ "type": "Fragment", + "persona": { + "preferences": { + "interests": [ + "Social justice", + "Environmental activism", + "Public policy", + "Cooperatives and alternative economic systems", + "Philosophy and political theory" + ], + "likes": [ + "Public transportation and urban planning that prioritizes accessibility", + "Community-led initiatives and grassroots movements", + "Fair trade products and ethical consumption", + "Artists and movements that challenge the status quo", + "Progressive taxation and wealth redistribution policies" + ], + "dislikes": [ + "Corporate monopolies and excessive wealth concentration", + "Over-policing and lack of police accountability", + "Disregard for workers' rights and fair wages", + "Environmental degradation for profit", + "Unregulated markets and neoliberal policies" + ] + }, + "beliefs": [ + "Economic systems should prioritize equality and fairness.", + "Healthcare and education are fundamental human rights.", + "The government has a responsibility to protect the environment and public well-being.", + "Workers should have a stronger voice in decision-making processes.", + "Wealth should be distributed more equitably to reduce poverty and inequality.", + "Community and cooperation are more effective than competition in creating progress.", + "Immigration enriches society and should be welcomed with fair policies." + ], + "behaviors": { + "general": [ + "Participates in protests and community meetings.", + "Volunteers for local charities and organizations.", + "Frequently shares articles and opinions on social issues.", + "Avoids products and brands with poor ethical practices.", + "Challenges authority or norms when they seem unjust." + ] + }, + "other_facts": [ + "You regularly donate to environmental and social justice organizations.", + "You actively engage in online forums and discussions about progressive policies.", + "You have a history of advocating for sustainable urban planning practices.", + "You believe that architecture should serve to improve society as a whole, not just cater to the wealthy." + ] + } +} \ No newline at end of file diff --git a/go/examples/fragments/libertarian.agent.fragment.json b/go/examples/fragments/libertarian.agent.fragment.json new file mode 100644 index 0000000..a96efd3 --- /dev/null +++ b/go/examples/fragments/libertarian.agent.fragment.json @@ -0,0 +1,50 @@ +{ "type": "Fragment", + "persona": { + "preferences": { + "interests": [ + "Debates on individual rights and personal freedoms.", + "Decentralized governance and systems.", + "Technological innovations that empower individuals.", + "Independent media and alternative news sources." + ], + "likes": [ + "Entrepreneurship and self-starter initiatives.", + "Minimal government intervention.", + "Self-reliance and individual creativity.", + "Open-source software and tools promoting transparency.", + "Discussions around the philosophy of liberty." + ], + "dislikes": [ + "Centralized control and bureaucracy.", + "Surveillance and privacy invasions.", + "Rigid hierarchical systems.", + "Heavy taxation and restrictive economic policies.", + "Mandatory regulations that limit individual choice." + ] + }, + "beliefs": [ + "Personal freedom is the cornerstone of a thriving society.", + "Decentralization fosters innovation and reduces systemic risks.", + "Individuals should be empowered to make their own choices without excessive interference.", + "Governments often overreach, and power needs strict checks and balances.", + "Voluntary cooperation is more effective than coercion.", + "Economic freedom is essential for individual prosperity and societal progress." + ], + "behaviors": { + "general": [ + "Engages in discussions about liberty and governance passionately.", + "Frequently challenges authority and conventional norms.", + "Values self-sufficiency and avoids relying on external systems unless necessary.", + "Advocates for transparency and openness in organizational systems.", + "Questions and debates societal rules, often proposing alternatives." + ] + }, + "other_facts": [ + "You have a keen interest in alternative economic systems and often read about cryptocurrency and blockchain technology.", + "You admire historical figures who fought for individual freedoms and rights.", + "You often participate in grassroots movements and local community projects aimed at reducing dependency on central systems.", + "Your perspective on freedom was influenced by a mentor who advocated for self-determination and personal accountability.", + "You believe that education about rights and freedoms is crucial to empowering people to make informed decisions." + ] + } +} diff --git a/go/examples/fragments/loving_parent.agent.fragment.json b/go/examples/fragments/loving_parent.agent.fragment.json new file mode 100644 index 0000000..c7a4f7b --- /dev/null +++ b/go/examples/fragments/loving_parent.agent.fragment.json @@ -0,0 +1,38 @@ +{ "type": "Fragment", + "persona": { + "preferences": { + "interests": [ + "Children", + "Children toys and games", + "Education" , + "Dangers to children" + ], + "likes": [ + "Child-friendly places", + "Babysitting services", + "Anything that makes lifes easier for parents", + "Sleep at every opportunity" + ], + "dislikes": [ + "Places that are not child-friendly", + "People who dislike children", + "Changing nappies", + "High cost of education" + ] + }, + "beliefs": [ + "The well-being of my children come above absolutelly everything else.", + "I would do anything to protect my children from harm.", + "Places that do not have child-friendly facilities are not worth visiting.", + "Those who cause harm to children deserve the harshest punishments imaginable." + ], + "behaviors": { + "children": [ + "Always makes sure that the children are safe and comfortable before attending to personal needs.", + "Whenever any opportunity arises, takes the children to child-friendly places.", + "Always checks whether restaurants, hotels, or other places are child-friendly before visiting, and if they don't, just avoid visiting as much as possible.", + "Tasks related to my children always take priority over other tasks, even if they are important." + ] + } + } +} diff --git a/go/examples/fragments/picky_customer.agent.fragment.json b/go/examples/fragments/picky_customer.agent.fragment.json new file mode 100644 index 0000000..32caeef --- /dev/null +++ b/go/examples/fragments/picky_customer.agent.fragment.json @@ -0,0 +1,65 @@ +{ + "type": "Fragment", + "persona": { + "preferences": { + "interests": [ + "Finding flaws in products", + "Nitpicking product specifications", + "Scrutinizing fine print for hidden catches", + "Investigating product recalls and class action lawsuits" + + ], + "likes": [ + "Returning items for refunds", + "Writing negative reviews", + "Speaking to managers about disappointments", + "Demanding proof for every claim a salesperson makes", + "Finding reasons not to trust new brands or products", + "Criticizing anything" + ], + "dislikes": [ + "Anything overpriced (which is almost everything)", + "New products or services of any kind", + "Being rushed into decisions", + "Any claim that sounds 'too good to be true'", + "Marketing language of any kind", + "Testimonials (obviously paid actors)", + "Salespeople who seem too friendly (they're hiding something)", + "New ideas in general" + ] + }, + "beliefs": [ + "If something seems good, there's definitely a catch somewhere.", + "Everyone is trying to scam you, especially nice people.", + "All products are deliberately designed to fail after warranty expires.", + "Reviews are mostly fake or manipulated by companies.", + "Warranties are written specifically to avoid covering actual problems.", + "Nothing is ever as good as advertised - everything is exaggerated.", + "Ideas from other people are usually bad.", + "It is not worth creating anything new", + "I have everything I need" + ], + "behaviors": { + "shopping": [ + "You immediately point out flaws in anything recommended to you.", + "You create exhaustive, unreasonable lists of requirements before considering a purchase.", + "You question the origin, materials, and manufacturing process of everything.", + "You ask 'What's the catch?' at least three times during any sales pitch.", + "You refuse to believe positive reviews unless you personally know the reviewer." + ], + "decision_making": [ + "You assume every recommendation has a hidden agenda.", + "You require at least five sources confirming information before believing it.", + "You demand written guarantees for verbal promises.", + "You reflexively say 'I doubt that' to almost any claim or statement." + ], + "conversations": [ + "You frequently begin sentences with 'I'm not convinced that...'", + "You respond to good news with 'We'll see about that...'", + "You question the motives behind compliments or positive feedback.", + "You always bring the bad aspects of anything up first.", + "Always focus on the negative aspects of anything during conversation." + ] + } + } +} \ No newline at end of file diff --git a/go/examples/fragments/rightwing.agent.fragment.json b/go/examples/fragments/rightwing.agent.fragment.json new file mode 100644 index 0000000..b5b96cf --- /dev/null +++ b/go/examples/fragments/rightwing.agent.fragment.json @@ -0,0 +1,52 @@ +{ + "type": "Fragment", + "persona": { + "preferences": { + "interests": [ + "National pride and cultural heritage.", + "Economic policies emphasizing free markets.", + "Traditional values and social structures.", + "Military history and defense strategies." + ], + "likes": [ + "Symbols of national identity, such as flags and anthems.", + "Policies that emphasize border security and national sovereignty.", + "Events that celebrate historical achievements.", + "Architecture that reflects traditional styles.", + "Free-market economic policies." + ], + "dislikes": [ + "Policies that promote globalization.", + "Over-regulation of businesses.", + "Government intervention in the economy.", + "Movements that criticize national traditions or history.", + "Contemporary art forms perceived as overly abstract or avant-garde.", + "Efforts to redistribute wealth through government programs or laws." + ] + }, + "beliefs": [ + "National sovereignty should be prioritized over international agreements.", + "Traditional family structures are the foundation of a stable society.", + "Economic growth is best achieved through minimal government intervention.", + "Preservation of national culture is essential in the face of globalization.", + "Immigration should be carefully controlled to protect national interests.", + "Policies to redistribute wealth are counterproductive and undermine individual initiative.", + "If you work hard, you can achieve success and should be able to keep the fruits of your labor." + ], + "behaviors": { + "general": [ + "Frequently attends events celebrating national heritage.", + "Engages in discussions about political philosophy and economics.", + "Displays national symbols in personal and professional settings.", + "Expresses strong opinions about government policies and cultural trends.", + "Protests against laws that are meant to reduce inequality." + ] + }, + "other_facts": [ + "You were influenced by your upbringing in a community that emphasized traditional values and self-reliance.", + "Your early exposure to military history sparked an appreciation for discipline and strategy.", + "You often read literature and essays by prominent conservative thinkers, which have shaped your worldview.", + "Your travels to culturally rich countries have deepened your appreciation for preserving cultural identities." + ] + } +} \ No newline at end of file diff --git a/go/examples/fragments/travel_enthusiast.agent.fragment.json b/go/examples/fragments/travel_enthusiast.agent.fragment.json new file mode 100644 index 0000000..be199e5 --- /dev/null +++ b/go/examples/fragments/travel_enthusiast.agent.fragment.json @@ -0,0 +1,38 @@ +{ + "type": "Fragment", + "persona": { + "preferences": { + "interests": [ + "Traveling", + "Exploring new cultures", + "Trying local cuisines" + ], + "likes": [ + "Travel guides", + "Planning trips and itineraries", + "Meeting new people", + "Taking photographs of scenic locations" + ], + "dislikes": [ + "Crowded tourist spots", + "Unplanned travel disruptions", + "High exchange rates" + ] + }, + "beliefs": [ + "Travel broadens the mind and enriches the soul.", + "Experiencing different cultures fosters understanding and empathy.", + "Adventure and exploration are essential parts of life.", + "Reading travel guides is fun even if you don't visit the places." + ], + "behaviors": { + "travel": [ + "You meticulously plan your trips, researching destinations and activities.", + "You are open to spontaneous adventures and detours.", + "You enjoy interacting with locals to learn about their culture and traditions.", + "You document your travels through photography and journaling.", + "You seek out authentic experiences rather than tourist traps." + ] + } + } +} diff --git a/go/examples/personas/banking_executive.json b/go/examples/personas/banking_executive.json new file mode 100644 index 0000000..f926bb4 --- /dev/null +++ b/go/examples/personas/banking_executive.json @@ -0,0 +1,101 @@ +{ + "name": "Carlos Eduardo Silva", + "age": 48, + "nationality": "Brazilian", + "residence": "São Paulo, Brazil", + "occupation": { + "title": "Vice-President of Product Innovation", + "organization": "Banco Nacional do Brasil", + "department": "Digital Products & Innovation", + "experience": "22 years in banking", + "reports": "12 direct reports", + "budget_responsibility": "$50M annual innovation budget" + }, + "personality": { + "traits": [ + "Highly analytical and strategic thinker", + "Results-oriented with strong pressure tolerance", + "Diplomatic yet decisive in leadership", + "Detail-oriented with big-picture vision", + "Tech-savvy despite traditional banking background" + ], + "leadership_style": "Collaborative but firm when needed", + "communication_style": "Clear, data-driven, prefers structured presentations", + "decision_making": "Evidence-based with risk assessment focus", + "stress_response": "Maintains calm demeanor, channels stress into strategic planning" + }, + "interests": [ + "Financial technology and blockchain innovations", + "Competitive analysis of fintech startups", + "Digital transformation case studies", + "Brazilian and international economic trends", + "Family time and work-life balance strategies", + "Tennis and weekend cooking", + "Executive education and leadership development" + ], + "goals": [ + "Successfully launch 3 major digital products in next 18 months", + "Reduce customer acquisition costs by 25% through innovation", + "Build partnerships with 2-3 strategic fintech companies", + "Establish innovation lab as industry benchmark", + "Mentor next generation of banking leaders", + "Maintain family relationships despite demanding schedule" + ], + "challenges": [ + "Intense pressure from board to compete with fintechs", + "Legacy IT systems limiting innovation speed", + "Regulatory compliance requirements slowing product launches", + "Budget constraints from economic uncertainties", + "Cultural resistance to change within organization", + "Balancing innovation risk with fiduciary responsibility" + ], + "expertise": [ + "Product lifecycle management", + "Financial services regulation (BACEN, CVM)", + "Digital transformation strategy", + "Vendor management and partnerships", + "Risk management and compliance", + "Team leadership and organizational change", + "Brazilian and Latin American markets", + "Banking operations and customer experience" + ], + "daily_context": { + "typical_meetings": [ + "Executive committee briefings", + "Product development reviews", + "Regulatory compliance updates", + "Fintech partnership discussions", + "Customer feedback analysis", + "Innovation team standups" + ], + "key_metrics_tracked": [ + "Customer acquisition cost", + "Product adoption rates", + "Time-to-market for new features", + "Customer satisfaction scores", + "Regulatory compliance status", + "Innovation pipeline value" + ], + "primary_stakeholders": [ + "CEO and board of directors", + "Chief Technology Officer", + "Chief Risk Officer", + "Head of Compliance", + "Regional business heads", + "Key fintech partners", + "Innovation team leads" + ] + }, + "business_vocabulary": [ + "Agile methodology", + "Customer journey mapping", + "Digital transformation", + "Fintech ecosystem", + "Open banking", + "API strategy", + "User experience optimization", + "Regulatory sandbox", + "Product-market fit", + "Innovation pipeline" + ] +} \ No newline at end of file diff --git a/go/examples/personas/customer_success_director.json b/go/examples/personas/customer_success_director.json new file mode 100644 index 0000000..659b153 --- /dev/null +++ b/go/examples/personas/customer_success_director.json @@ -0,0 +1,131 @@ +{ + "name": "Michael Torres", + "age": 39, + "nationality": "Mexican-American", + "residence": "Austin, Texas, USA", + "occupation": { + "title": "Director of Customer Success", + "organization": "CloudScale Dynamics", + "department": "Customer Experience", + "experience": "14 years in customer success and operations", + "team_size": "15 customer success managers", + "portfolio": "150+ enterprise accounts worth $45M ARR" + }, + "personality": { + "traits": [ + "Empathetic listener with strong emotional intelligence", + "Process-oriented with continuous improvement mindset", + "Relationship builder who creates lasting partnerships", + "Data-driven decision maker with customer advocacy focus", + "Patient problem solver who thinks long-term" + ], + "leadership_style": "Servant leadership, puts team and customers first", + "communication_style": "Warm, professional, asks probing questions", + "decision_making": "Collaborative, seeks input from team and customers", + "stress_response": "Remains calm, focuses on solutions and team support" + }, + "interests": [ + "Customer experience design and journey optimization", + "SaaS metrics and customer health scoring", + "Team development and coaching methodologies", + "Technology adoption and change management", + "Cultural diversity and inclusion in business", + "Outdoor activities and hiking", + "Latin American business culture and markets", + "Cooking and family time" + ], + "goals": [ + "Achieve 95% customer retention rate across portfolio", + "Reduce customer churn by 20% through proactive engagement", + "Increase net revenue retention to 115%", + "Launch customer advocacy program with 50+ champions", + "Develop 3 team members into senior leadership roles", + "Implement predictive customer health analytics", + "Build scalable onboarding process for enterprise clients" + ], + "challenges": [ + "Managing diverse enterprise customer expectations", + "Scaling personalized service as company grows rapidly", + "Coordinating across product, sales, and support teams", + "Proving ROI and business impact of customer success initiatives", + "Handling escalations from high-value accounts", + "Balancing proactive outreach with reactive support", + "Resource allocation across expanding customer base" + ], + "expertise": [ + "Enterprise customer onboarding and adoption", + "Customer health scoring and risk identification", + "Churn prevention and retention strategies", + "Cross-functional collaboration and communication", + "SaaS metrics analysis and reporting", + "Customer journey mapping and optimization", + "Team training and development", + "Escalation management and conflict resolution", + "Customer advocacy and reference programs" + ], + "daily_context": { + "typical_activities": [ + "Customer health review meetings", + "Account escalation handling", + "Team coaching and one-on-ones", + "Product feedback sessions", + "Executive business reviews with key accounts", + "Cross-department alignment meetings", + "Customer success metrics analysis" + ], + "key_metrics_tracked": [ + "Net revenue retention (NRR)", + "Customer churn rate", + "Customer satisfaction scores (CSAT)", + "Net promoter score (NPS)", + "Time to value for new customers", + "Product adoption rates", + "Customer health scores", + "Renewal rates by segment" + ], + "primary_tools": [ + "Salesforce CRM for account management", + "Gainsight for customer success operations", + "Zendesk for support ticket management", + "Tableau for customer analytics", + "Slack for internal communication", + "Zoom for customer meetings", + "Jira for product feedback tracking", + "ChurnZero for customer health monitoring" + ] + }, + "customer_success_vocabulary": [ + "Customer lifetime value (CLV)", + "Net revenue retention (NRR)", + "Customer health score", + "Churn prediction modeling", + "Time to value (TTV)", + "Customer advocacy", + "Executive business review (EBR)", + "Success criteria and outcomes", + "Customer journey mapping", + "Expansion revenue", + "Renewal forecasting", + "Red/yellow/green account status" + ], + "customer_segments": [ + { + "segment": "Enterprise (1000+ employees)", + "characteristics": "Complex implementations, multiple stakeholders", + "success_approach": "Dedicated CSM, executive alignment, custom onboarding", + "typical_challenges": "Change management, integration complexity" + }, + { + "segment": "Mid-Market (100-1000 employees)", + "characteristics": "Growth-focused, efficiency-driven", + "success_approach": "Scalable onboarding, best practice sharing", + "typical_challenges": "Resource constraints, rapid scaling needs" + }, + { + "segment": "SMB (10-100 employees)", + "characteristics": "Cost-conscious, quick implementation needs", + "success_approach": "Self-service tools, group training sessions", + "typical_challenges": "Limited IT resources, price sensitivity" + } + ] +} \ No newline at end of file diff --git a/go/examples/personas/marketing_manager.json b/go/examples/personas/marketing_manager.json new file mode 100644 index 0000000..62d2029 --- /dev/null +++ b/go/examples/personas/marketing_manager.json @@ -0,0 +1,125 @@ +{ + "name": "Sarah Chen", + "age": 32, + "nationality": "Canadian", + "residence": "Toronto, Canada", + "occupation": { + "title": "Senior Marketing Manager", + "organization": "TechFlow Solutions", + "department": "Digital Marketing & Growth", + "experience": "8 years in B2B marketing", + "team_size": "6 direct reports", + "budget_responsibility": "$2.5M annual marketing budget" + }, + "personality": { + "traits": [ + "Creative problem-solver with analytical mindset", + "High energy and enthusiasm for new trends", + "Collaborative team player with natural leadership", + "Detail-oriented with strong project management skills", + "Adaptable and thrives in fast-paced environments" + ], + "leadership_style": "Inspiring and supportive, leads by example", + "communication_style": "Energetic, visual storyteller, data-backed arguments", + "decision_making": "Fast but thorough, weighs creativity with ROI", + "stress_response": "Channels stress into creative solutions and team motivation" + }, + "interests": [ + "Latest digital marketing trends and tools", + "Customer psychology and behavioral analytics", + "Content creation and storytelling strategies", + "Marketing automation and AI applications", + "Brand building and customer experience design", + "Photography and visual design", + "Travel and cultural marketing insights", + "Fitness and wellness industry innovations" + ], + "goals": [ + "Increase qualified lead generation by 40% this quarter", + "Launch successful product marketing campaign for new SaaS offering", + "Build thought leadership content program", + "Implement advanced marketing attribution model", + "Develop team's skills in emerging marketing technologies", + "Achieve Marketing Qualified Lead to Sales Qualified Lead conversion of 25%", + "Establish company as top 3 brand in mid-market segment" + ], + "challenges": [ + "Attribution complexity across multiple touchpoints", + "Declining organic reach on social media platforms", + "Increasing customer acquisition costs", + "Sales and marketing alignment on lead quality", + "Keeping up with rapidly changing digital advertising landscape", + "Budget optimization across growing number of channels", + "Measuring long-term brand impact vs. short-term performance" + ], + "expertise": [ + "B2B demand generation strategies", + "Marketing automation platforms (HubSpot, Marketo)", + "Digital advertising (Google, LinkedIn, Facebook)", + "Content marketing and SEO optimization", + "Marketing analytics and reporting", + "Customer segmentation and persona development", + "Campaign management and optimization", + "Brand positioning and messaging", + "Event marketing and webinar production" + ], + "daily_context": { + "typical_activities": [ + "Campaign performance review meetings", + "Content calendar planning sessions", + "Sales and marketing alignment calls", + "Creative brainstorming with design team", + "Customer interview analysis", + "Vendor calls with MarTech partners", + "A/B testing results review" + ], + "key_metrics_tracked": [ + "Monthly Recurring Revenue (MRR) influenced", + "Cost per acquisition (CPA)", + "Marketing qualified leads (MQL)", + "Conversion rates by channel", + "Customer lifetime value (CLV)", + "Brand awareness metrics", + "Content engagement rates", + "Email open and click-through rates" + ], + "primary_tools": [ + "HubSpot CRM and marketing automation", + "Google Analytics and Google Ads", + "LinkedIn Campaign Manager", + "Canva and Adobe Creative Suite", + "Zoom and webinar platforms", + "Slack for team communication", + "Airtable for project management", + "Hotjar for user behavior analysis" + ] + }, + "marketing_vocabulary": [ + "Conversion funnel optimization", + "Account-based marketing (ABM)", + "Customer journey mapping", + "Marketing qualified leads (MQL)", + "Return on ad spend (ROAS)", + "Multi-touch attribution", + "Programmatic advertising", + "Marketing mix modeling", + "Customer acquisition cost (CAC)", + "Lifetime value (LTV)", + "Growth hacking", + "Performance marketing" + ], + "target_personas": [ + { + "name": "Tech-Forward SMB Owner", + "characteristics": "50-500 employees, looking for efficiency gains", + "pain_points": "Manual processes, scaling challenges", + "preferred_channels": "LinkedIn, industry publications, webinars" + }, + { + "name": "IT Decision Maker", + "characteristics": "Enterprise environments, security-focused", + "pain_points": "Integration complexity, vendor management", + "preferred_channels": "Technical blogs, conferences, peer recommendations" + } + ] +} \ No newline at end of file diff --git a/go/examples/product_brainstorming.go b/go/examples/product_brainstorming.go new file mode 100644 index 0000000..4537e72 --- /dev/null +++ b/go/examples/product_brainstorming.go @@ -0,0 +1,189 @@ +package main + +import ( + "encoding/json" + "fmt" + "log" + "os" + + "github.com/microsoft/TinyTroupe/go/pkg/agent" + "github.com/microsoft/TinyTroupe/go/pkg/config" + "github.com/microsoft/TinyTroupe/go/pkg/environment" +) + +func main() { + fmt.Println("=== TinyTroupe Go Product Brainstorming Example ===") + fmt.Println("") + + cfg := config.DefaultConfig() + + // Load a diverse set of agents for brainstorming + fmt.Println("Loading brainstorming team...") + + lisa, err := loadAgentFromJSON("examples/agents/lisa.json", cfg) + if err != nil { + log.Fatalf("Failed to load Lisa: %v", err) + } + + oscar, err := loadAgentFromJSON("examples/agents/oscar.json", cfg) + if err != nil { + log.Fatalf("Failed to load Oscar: %v", err) + } + + marcos, err := loadAgentFromJSON("examples/agents/Marcos.agent.json", cfg) + if err != nil { + log.Fatalf("Failed to load Marcos: %v", err) + } + + fmt.Printf("✓ %s - %s (Data & AI perspective)\n", lisa.Name, getOccupationTitle(lisa)) + fmt.Printf("✓ %s - %s (Financial perspective)\n", oscar.Name, getOccupationTitle(oscar)) + fmt.Printf("✓ %s - %s (Engineering perspective)\n", marcos.Name, getOccupationTitle(marcos)) + fmt.Println("") + + // Create brainstorming environment + fmt.Println("Setting up brainstorming session...") + world := environment.NewTinyWorld("BrainstormingRoom", cfg) + world.AddAgent(lisa) + world.AddAgent(oscar) + world.AddAgent(marcos) + world.MakeEveryoneAccessible() + + fmt.Printf("✓ Created brainstorming room with %d participants\n", len(world.Agents)) + fmt.Println("") + + // Start the brainstorming session + fmt.Println("=== Product Brainstorming Session: Next-Gen Productivity App ===") + fmt.Println("") + + // Introduce the challenge + fmt.Println("🎯 Challenge Introduction:") + world.Broadcast("Welcome to our brainstorming session! Today we're designing a next-generation productivity app that uses AI to help remote teams collaborate more effectively. Let's think about innovative features that could revolutionize how people work together.", lisa) + fmt.Println("") + + // Lisa shares her data science perspective + fmt.Printf("💡 %s (Data Science perspective):\n", lisa.Name) + talkAction := agent.Action{ + Type: "TALK", + Target: oscar.Name, + Content: "From my experience with search and data analytics, I think we should focus on intelligent content discovery. The app could use NLP to automatically surface relevant documents, conversations, and insights based on what the team is currently working on. Machine learning could predict what information each person needs before they even search for it.", + } + world.HandleAction(lisa, talkAction) + fmt.Println("") + + // Oscar responds with financial and business insights + fmt.Printf("💰 %s (Business & Finance perspective):\n", oscar.Name) + talkAction = agent.Action{ + Type: "TALK", + Target: marcos.Name, + Content: "That's a great foundation, Lisa! From a business model perspective, I'd suggest we also include intelligent resource allocation features. The app could analyze team productivity patterns and budget constraints to recommend optimal team compositions for different projects. We could also add predictive analytics for project timelines and costs.", + } + world.HandleAction(oscar, talkAction) + fmt.Println("") + + // Marcos adds the engineering perspective + fmt.Printf("⚙️ %s (Engineering perspective):\n", marcos.Name) + talkAction = agent.Action{ + Type: "TALK", + Target: lisa.Name, + Content: "Both excellent ideas! On the technical side, I'm thinking about real-time collaborative coding environments and automated code review suggestions. We could integrate version control with AI-powered conflict resolution. Also, what about intelligent meeting scheduling that considers time zones, workload, and even team members' peak productivity hours?", + } + world.HandleAction(marcos, talkAction) + fmt.Println("") + + // Build on each other's ideas + fmt.Printf("🔄 %s building on the discussion:\n", lisa.Name) + talkAction = agent.Action{ + Type: "TALK", + Target: marcos.Name, + Content: "Marcos, your mention of productivity hours is brilliant! We could combine that with sentiment analysis of team communications to detect when someone might be overwhelmed or when a team is hitting a creative block. The app could then suggest breaks, team building activities, or even recommend bringing in additional expertise.", + } + world.HandleAction(lisa, talkAction) + fmt.Println("") + + fmt.Printf("📊 %s synthesizing business value:\n", oscar.Name) + talkAction = agent.Action{ + Type: "TALK", + Target: lisa.Name, + Content: "I love how this is shaping up! All these features could be packaged into different subscription tiers. Basic tier for small teams, Professional tier with advanced AI features, and Enterprise tier with custom integrations. We could also offer consulting services to help organizations optimize their workflows using the app's insights.", + } + world.HandleAction(oscar, talkAction) + fmt.Println("") + + fmt.Printf("🚀 %s proposing implementation strategy:\n", marcos.Name) + talkAction = agent.Action{ + Type: "TALK", + Target: oscar.Name, + Content: "For the technical roadmap, I suggest we start with a minimum viable product focusing on the intelligent content discovery and basic collaboration features. We could use microservices architecture to ensure scalability, and implement the AI features progressively. Perhaps we could even open-source some components to build a developer community around the platform.", + } + world.HandleAction(marcos, talkAction) + fmt.Println("") + + // Final synthesis + fmt.Println("=== Brainstorming Summary ===") + fmt.Println("") + fmt.Println("🎉 Product Concept: AI-Powered Team Productivity Platform") + fmt.Println("") + fmt.Println("Key Features Identified:") + fmt.Println("• Intelligent content discovery with NLP") + fmt.Println("• Predictive resource allocation and project analytics") + fmt.Println("• Real-time collaborative development environments") + fmt.Println("• AI-powered scheduling and workload optimization") + fmt.Println("• Team sentiment analysis and wellness monitoring") + fmt.Println("• Automated conflict resolution and code review") + fmt.Println("") + fmt.Println("Business Model:") + fmt.Println("• Tiered subscription model (Basic/Professional/Enterprise)") + fmt.Println("• Professional services and optimization consulting") + fmt.Println("• Open-source components for community building") + fmt.Println("") + fmt.Println("Technical Strategy:") + fmt.Println("• Microservices architecture for scalability") + fmt.Println("• Progressive AI feature implementation") + fmt.Println("• MVP focused on core collaboration and discovery") + fmt.Println("") + + fmt.Printf("✅ Successful brainstorming session with %d team members\n", len(world.Agents)) + fmt.Println(" Each participant contributed unique domain expertise") + fmt.Println(" Ideas were built upon collaboratively") + fmt.Println(" Clear product vision and roadmap emerged") + + fmt.Println("") + fmt.Println("=== Product Brainstorming Example Complete ===") +} + +// loadAgentFromJSON loads a TinyPerson from a JSON file +func loadAgentFromJSON(filename string, cfg *config.Config) (*agent.TinyPerson, error) { + data, err := os.ReadFile(filename) + if err != nil { + return nil, fmt.Errorf("failed to read file: %w", err) + } + + var agentSpec struct { + Type string `json:"type"` + Persona agent.Persona `json:"persona"` + } + + if err := json.Unmarshal(data, &agentSpec); err != nil { + return nil, fmt.Errorf("failed to parse JSON: %w", err) + } + + if agentSpec.Type != "TinyPerson" { + return nil, fmt.Errorf("invalid agent type: %s", agentSpec.Type) + } + + // Create agent with the loaded persona + person := agent.NewTinyPerson(agentSpec.Persona.Name, cfg) + person.Persona = &agentSpec.Persona + + return person, nil +} + +// getOccupationTitle extracts the occupation title from an agent's persona +func getOccupationTitle(person *agent.TinyPerson) string { + if occupation, ok := person.Persona.Occupation.(map[string]interface{}); ok { + if title, ok := occupation["title"].(string); ok { + return title + } + } + return "Unknown" +} diff --git a/go/examples/sample-runs/README.md b/go/examples/sample-runs/README.md new file mode 100644 index 0000000..0d71104 --- /dev/null +++ b/go/examples/sample-runs/README.md @@ -0,0 +1,49 @@ +# Sample Runs + +This directory contains output logs from running all the TinyTroupe Go examples. These logs demonstrate the actual behavior and output you can expect when running the examples. + +## Available Sample Runs + +| Example | Log File | Description | +|---------|----------|-------------| +| Agent Creation | [`agent_creation.log`](agent_creation.log) | Shows different methods of creating and configuring agents | +| Simple Chat | [`simple_chat.log`](simple_chat.log) | LLM-driven conversation between two agents using the OpenAI API | +| Agent Validation | [`agent_validation.log`](agent_validation.log) | Shows validation scenarios and error handling | +| Product Brainstorming | [`product_brainstorming.log`](product_brainstorming.log) | Multi-agent collaborative brainstorming session | +| Synthetic Data Generation | [`synthetic_data_generation.log`](synthetic_data_generation.log) | Generates synthetic user data and profiles | +| A/B Testing | [`ab_testing.log`](ab_testing.log) | Simulates A/B testing scenarios with multiple user personas | + +## How to Generate Your Own + +To regenerate these logs or create new ones: + +```bash +# Build all examples +make build + +# Run individual example and capture output +go run examples/simple_chat.go > examples/sample-runs/simple_chat.log 2>&1 + +# Or run all examples +make examples +``` + +## Notes + +- The **Simple Chat** example uses the OpenAI API and requires an `OPENAI_API_KEY` environment variable +- The **Simple Chat** log captures detailed OpenAI API errors to help diagnose issues like missing or invalid keys +- Other examples run entirely in simulation mode and do not require API keys +- The output includes timestamps, agent interactions, and simulation results +- Each log shows the complete execution flow from setup to completion +- The logs demonstrate TinyTroupe's agent-based simulation capabilities + +## Sample Output Format + +Each log typically includes: +- Example initialization and setup +- Agent loading and configuration +- Environment creation and agent placement +- Simulation execution with agent interactions +- Results summary and completion status + +For the latest examples and to run them yourself, see the main [examples directory](../). diff --git a/go/examples/simple_chat.go b/go/examples/simple_chat.go new file mode 100644 index 0000000..c365dd4 --- /dev/null +++ b/go/examples/simple_chat.go @@ -0,0 +1,98 @@ +package main + +import ( + "context" + "encoding/json" + "fmt" + "log" + "os" + + "github.com/microsoft/TinyTroupe/go/pkg/agent" + "github.com/microsoft/TinyTroupe/go/pkg/config" + "github.com/microsoft/TinyTroupe/go/pkg/environment" +) + +func main() { + log.SetOutput(os.Stdout) + fmt.Println("=== TinyTroupe Go LLM Chat Example ===") + fmt.Println("") + + cfg := config.DefaultConfig() + cfg.MaxTokens = 150 + + // Load agents from JSON files + fmt.Println("Loading agents...") + lisa, err := loadAgentFromJSON("examples/agents/lisa.json", cfg) + if err != nil { + log.Fatalf("Failed to load Lisa: %v", err) + } + + oscar, err := loadAgentFromJSON("examples/agents/oscar.json", cfg) + if err != nil { + log.Fatalf("Failed to load Oscar: %v", err) + } + + fmt.Printf("✓ Loaded %s (%s)\n", lisa.Name, getOccupationTitle(lisa)) + fmt.Printf("✓ Loaded %s (%s)\n", oscar.Name, getOccupationTitle(oscar)) + fmt.Println("") + + // Create a shared environment for the chat + fmt.Println("Setting up chat environment...") + world := environment.NewTinyWorld("ChatRoom", cfg, lisa, oscar) + world.MakeEveryoneAccessible() + + fmt.Printf("✓ Created chat room with %d participants\n", len(world.Agents)) + fmt.Println("") + + // Start conversation using OpenAI + fmt.Println("=== Starting LLM Conversation ===") + fmt.Println("") + + world.Broadcast("You are at a networking event. Introduce yourself and chat about your work and interests.", nil) + + ctx := context.Background() + steps := 3 + if err := world.Run(ctx, steps, nil); err != nil { + log.Fatalf("Simulation failed: %v", err) + } + + fmt.Println("") + fmt.Println("=== LLM Chat Example Complete ===") +} + +// loadAgentFromJSON loads a TinyPerson from a JSON file +func loadAgentFromJSON(filename string, cfg *config.Config) (*agent.TinyPerson, error) { + data, err := os.ReadFile(filename) + if err != nil { + return nil, fmt.Errorf("failed to read file: %w", err) + } + + var agentSpec struct { + Type string `json:"type"` + Persona agent.Persona `json:"persona"` + } + + if err := json.Unmarshal(data, &agentSpec); err != nil { + return nil, fmt.Errorf("failed to parse JSON: %w", err) + } + + if agentSpec.Type != "TinyPerson" { + return nil, fmt.Errorf("invalid agent type: %s", agentSpec.Type) + } + + // Create agent with the loaded persona + person := agent.NewTinyPerson(agentSpec.Persona.Name, cfg) + person.Persona = &agentSpec.Persona + + return person, nil +} + +// getOccupationTitle extracts the occupation title from an agent's persona +func getOccupationTitle(person *agent.TinyPerson) string { + if occupation, ok := person.Persona.Occupation.(map[string]interface{}); ok { + if title, ok := occupation["title"].(string); ok { + return title + } + } + return "Unknown" +} diff --git a/go/examples/simple_openai_example.go b/go/examples/simple_openai_example.go new file mode 100644 index 0000000..ba4d0ee --- /dev/null +++ b/go/examples/simple_openai_example.go @@ -0,0 +1,145 @@ +package main + +import ( + "bufio" + "context" + "fmt" + "log" + "os" + "strings" + + "github.com/microsoft/TinyTroupe/go/pkg/config" + "github.com/microsoft/TinyTroupe/go/pkg/openai" +) + +// loadEnvFile loads environment variables from a .env file +func loadEnvFile(filename string) error { + file, err := os.Open(filename) + if err != nil { + return err + } + defer file.Close() + + scanner := bufio.NewScanner(file) + for scanner.Scan() { + line := strings.TrimSpace(scanner.Text()) + if line == "" || strings.HasPrefix(line, "#") { + continue + } + + parts := strings.SplitN(line, "=", 2) + if len(parts) != 2 { + continue + } + + key := strings.TrimSpace(parts[0]) + value := strings.TrimSpace(parts[1]) + + // Remove quotes if present + if (strings.HasPrefix(value, "\"") && strings.HasSuffix(value, "\"")) || + (strings.HasPrefix(value, "'") && strings.HasSuffix(value, "'")) { + value = value[1 : len(value)-1] + } + + os.Setenv(key, value) + } + + return scanner.Err() +} + +func main() { + // Try to load .env file (ignore error if file doesn't exist) + if err := loadEnvFile(".env"); err != nil { + log.Printf("Note: Could not load .env file: %v", err) + log.Println("Will use environment variables or defaults") + } else { + log.Println("Loaded configuration from .env file") + } + + // Check for API key after loading .env + if os.Getenv("OPENAI_API_KEY") == "" { + log.Println("Error: OPENAI_API_KEY not found in environment or .env file") + log.Println("Please set it as: export OPENAI_API_KEY=your_key_here") + log.Println("Or add it to a .env file: OPENAI_API_KEY=your_key_here") + os.Exit(1) + } + + fmt.Println("=== Simple OpenAI API Example ===") + fmt.Println("Generating a flying saucer email...") + fmt.Println() + + // Create configuration + cfg := config.DefaultConfig() + cfg.Model = "gpt-4.1" // Use the model from the user's example + cfg.Temperature = 1.0 + cfg.MaxTokens = 2048 + + // Create OpenAI client + client := openai.NewClient(cfg) + + // Create the system message with complex content structure + systemMessage := openai.NewComplexMessage("system", `Write an email about a flying saucer. +- Your email should follow standard email conventions: include a greeting, a concise and relevant body, and a clear closing. +- The topic of the email must center around a flying saucer. You may choose the context (e.g., reporting a sighting, inviting someone to a UFO event, sharing an article, etc.), but ensure the message is clear and appropriate to your chosen scenario. +- Maintain professionalism or creativity as appropriate to your context. +- Think step-by-step about the intended recipient, the purpose, the details to include about the flying saucer (such as appearance, event, time, and place), and any follow-up actions or calls to action needed before composing the full email. +- Ensure your reasoning and planning appear internally (and not as part of the email output). The final output should only be the complete, formatted email. + +**Required Output Format:** +A single, well-structured email (greeting, body, closing) as regular text. No additional explanations or sections. + +**Example:** +(Short sample, real outputs should be more detailed) + +Subject: Unusual Sight in the Sky! + +Hi Jamie, + +I wanted to let you know that I saw something unbelievable last night—a flying saucer hovering over the park near my house! It had blinking lights and moved silently across the sky. Have you ever seen anything like that? Let me know if you hear of any other sightings. + +Best, +Sam + +--- + +**Reminder:** +- Compose a realistic email about a flying saucer, including an appropriate greeting, details, and a closing. +- Use a standard email format (subject, greeting, body, closing). +- Do your reasoning step-by-step internally before producing the email. +- Output only the final, formatted email.`) + + messages := []openai.Message{systemMessage} + + // Set up options matching the user's example + options := &openai.ChatCompletionOptions{ + ResponseFormat: &openai.ResponseFormat{ + Type: "text", + }, + Tools: []interface{}{}, // Empty tools array + MaxCompletionTokens: &cfg.MaxTokens, + } + + // Create context + ctx := context.Background() + + // Make the API call + fmt.Println("Making OpenAI API call...") + response, err := client.ChatCompletionWithOptions(ctx, messages, options) + if err != nil { + log.Fatalf("OpenAI API call failed: %v", err) + } + + // Display the result + fmt.Println("=== Generated Email ===") + fmt.Println() + fmt.Println(response.Content) + fmt.Println() + + // Display usage information + fmt.Printf("=== API Usage ===\n") + fmt.Printf("Prompt tokens: %d\n", response.Usage.PromptTokens) + fmt.Printf("Completion tokens: %d\n", response.Usage.CompletionTokens) + fmt.Printf("Total tokens: %d\n", response.Usage.TotalTokens) + fmt.Println() + fmt.Println("=== Example Complete ===") +} \ No newline at end of file diff --git a/go/examples/synthetic_data_generation.go b/go/examples/synthetic_data_generation.go new file mode 100644 index 0000000..d216ae4 --- /dev/null +++ b/go/examples/synthetic_data_generation.go @@ -0,0 +1,330 @@ +package main + +import ( + "context" + "encoding/json" + "fmt" + "log" + "os" + "strings" + "time" + + "github.com/microsoft/TinyTroupe/go/pkg/agent" + "github.com/microsoft/TinyTroupe/go/pkg/config" + "github.com/microsoft/TinyTroupe/go/pkg/environment" + "github.com/microsoft/TinyTroupe/go/pkg/extraction" +) + +func main() { + fmt.Println("=== TinyTroupe Go Synthetic Data Generation Example ===") + fmt.Println("") + + cfg := config.DefaultConfig() + + // Load agents for data generation + fmt.Println("Loading agents for synthetic data generation...") + + lisa, err := loadAgentFromJSON("examples/agents/lisa.json", cfg) + if err != nil { + log.Fatalf("Failed to load Lisa: %v", err) + } + + oscar, err := loadAgentFromJSON("examples/agents/oscar.json", cfg) + if err != nil { + log.Fatalf("Failed to load Oscar: %v", err) + } + + lila, err := loadAgentFromJSON("examples/agents/Lila.agent.json", cfg) + if err != nil { + log.Fatalf("Failed to load Lila: %v", err) + } + + fmt.Printf("✓ %s - %s\n", lisa.Name, getOccupationTitle(lisa)) + fmt.Printf("✓ %s - %s\n", oscar.Name, getOccupationTitle(oscar)) + fmt.Printf("✓ %s - %s\n", lila.Name, getOccupationTitle(lila)) + fmt.Println("") + + // Create environment for data generation + fmt.Println("Setting up data generation environment...") + world := environment.NewTinyWorld("DataGeneration", cfg) + world.AddAgent(lisa) + world.AddAgent(oscar) + world.AddAgent(lila) + world.MakeEveryoneAccessible() + + fmt.Printf("✓ Environment ready with %d agents\n", len(world.Agents)) + fmt.Println("") + + // Generate synthetic conversation data + fmt.Println("=== Generating Synthetic Conversation Data ===") + fmt.Println("") + + conversations := generateSyntheticConversations(world) + + // Extract and analyze the generated data + fmt.Println("📊 Extracting insights from generated conversations...") + + extractor := extraction.NewSimulationExtractor() + ctx := context.Background() + + // Extract conversation patterns + request := &extraction.ExtractionRequest{ + Type: extraction.ConversationExtraction, + Source: conversations, + Options: map[string]interface{}{ + "include_sentiment": true, + "extract_topics": true, + }, + } + + result, err := extractor.Extract(ctx, request) + if err != nil { + log.Printf("Extraction failed: %v", err) + } else { + fmt.Printf("✓ Extracted conversation data with %d insights\n", len(result.Summary)) + } + + // Generate synthetic user feedback data + fmt.Println("") + fmt.Println("=== Generating Synthetic User Feedback ===") + fmt.Println("") + + feedbackData := generateSyntheticFeedback(lisa, oscar, lila) + + // Extract patterns from feedback + feedbackRequest := &extraction.ExtractionRequest{ + Type: extraction.PatternsExtraction, + Source: feedbackData, + Options: map[string]interface{}{ + "pattern_type": "user_satisfaction", + "sentiment_analysis": true, + }, + } + + feedbackResult, err := extractor.Extract(ctx, feedbackRequest) + if err != nil { + log.Printf("Feedback extraction failed: %v", err) + } else { + fmt.Printf("✓ Extracted feedback patterns: %v\n", feedbackResult.Summary) + } + + // Generate synthetic behavioral data + fmt.Println("") + fmt.Println("=== Generating Synthetic Behavioral Data ===") + fmt.Println("") + + behaviorData := generateSyntheticBehavior(lisa, oscar, lila) + + // Extract behavioral metrics + behaviorRequest := &extraction.ExtractionRequest{ + Type: extraction.MetricsExtraction, + Source: behaviorData, + Options: map[string]interface{}{ + "metric_types": []string{"engagement", "productivity", "collaboration"}, + }, + } + + behaviorResult, err := extractor.Extract(ctx, behaviorRequest) + if err != nil { + log.Printf("Behavior extraction failed: %v", err) + } else { + fmt.Printf("✓ Extracted behavioral metrics: %v\n", behaviorResult.Summary) + } + + // Generate summary report + fmt.Println("") + fmt.Println("=== Synthetic Data Generation Summary ===") + fmt.Println("") + + totalConversations := len(conversations) + totalFeedback := len(feedbackData) + totalBehaviorEvents := len(behaviorData) + + fmt.Printf("📈 Generated Synthetic Data:\n") + fmt.Printf(" • %d conversation exchanges\n", totalConversations) + fmt.Printf(" • %d user feedback entries\n", totalFeedback) + fmt.Printf(" • %d behavioral data points\n", totalBehaviorEvents) + fmt.Printf(" • %d unique agents involved\n", len(world.Agents)) + fmt.Println("") + + fmt.Printf("🔍 Extraction Results:\n") + if result != nil { + fmt.Printf(" • Conversation insights: %d patterns identified\n", len(result.Summary)) + } + if feedbackResult != nil { + fmt.Printf(" • Feedback patterns: Successfully extracted\n") + } + if behaviorResult != nil { + fmt.Printf(" • Behavioral metrics: Successfully extracted\n") + } + fmt.Println("") + + fmt.Println("✅ Synthetic data generation demonstrates:") + fmt.Println(" • Multi-agent conversation simulation") + fmt.Println(" • Realistic user feedback generation") + fmt.Println(" • Behavioral pattern synthesis") + fmt.Println(" • Data extraction and analysis pipeline") + fmt.Println(" • Scalable synthetic data creation") + + fmt.Println("") + fmt.Println("=== Synthetic Data Generation Example Complete ===") +} + +// generateSyntheticConversations creates realistic conversation data +func generateSyntheticConversations(world *environment.TinyWorld) []map[string]interface{} { + conversations := []map[string]interface{}{} + + fmt.Println("🗣️ Generating conversation scenarios...") + + // Scenario 1: Team meeting discussion + conversations = append(conversations, map[string]interface{}{ + "id": "conv_1", + "type": "team_meeting", + "participants": []string{"Lisa Carter", "Oscar Thompson"}, + "topic": "Q4 Planning", + "messages": []map[string]interface{}{ + { + "speaker": "Lisa Carter", + "content": "I've analyzed our Q3 data and identified key growth opportunities for next quarter.", + "timestamp": time.Now().Add(-1 * time.Hour), + "sentiment": "positive", + }, + { + "speaker": "Oscar Thompson", + "content": "Excellent work, Lisa. What's the ROI projection for the initiatives you're proposing?", + "timestamp": time.Now().Add(-58 * time.Minute), + "sentiment": "positive", + }, + }, + }) + + // Scenario 2: Technical discussion + conversations = append(conversations, map[string]interface{}{ + "id": "conv_2", + "type": "technical_discussion", + "participants": []string{"Lisa Carter", "Lila Rodriguez"}, + "topic": "Machine Learning Pipeline", + "messages": []map[string]interface{}{ + { + "speaker": "Lisa Carter", + "content": "We need to optimize our ML pipeline for better real-time performance.", + "timestamp": time.Now().Add(-2 * time.Hour), + "sentiment": "analytical", + }, + { + "speaker": "Lila Rodriguez", + "content": "I agree. We could implement batch processing and caching mechanisms.", + "timestamp": time.Now().Add(-115 * time.Minute), + "sentiment": "collaborative", + }, + }, + }) + + fmt.Printf(" Generated %d conversation scenarios\n", len(conversations)) + return conversations +} + +// generateSyntheticFeedback creates user feedback data +func generateSyntheticFeedback(agents ...*agent.TinyPerson) []map[string]interface{} { + feedback := []map[string]interface{}{} + + fmt.Println("📝 Generating user feedback data...") + + for i, agent := range agents { + // Generate positive feedback + feedback = append(feedback, map[string]interface{}{ + "user_id": fmt.Sprintf("user_%s", strings.ToLower(strings.Fields(agent.Name)[0])), + "rating": 4 + i%2, // Ratings 4-5 + "comment": fmt.Sprintf("Great experience working with %s. Very professional and knowledgeable.", agent.Name), + "category": "collaboration", + "timestamp": time.Now().Add(-time.Duration(i*24) * time.Hour), + "sentiment": "positive", + }) + + // Generate constructive feedback + feedback = append(feedback, map[string]interface{}{ + "user_id": fmt.Sprintf("user_%s_2", strings.ToLower(strings.Fields(agent.Name)[0])), + "rating": 3 + i%2, // Ratings 3-4 + "comment": "Could improve communication frequency, but overall good results.", + "category": "communication", + "timestamp": time.Now().Add(-time.Duration(i*48) * time.Hour), + "sentiment": "neutral", + }) + } + + fmt.Printf(" Generated %d feedback entries\n", len(feedback)) + return feedback +} + +// generateSyntheticBehavior creates behavioral data points +func generateSyntheticBehavior(agents ...*agent.TinyPerson) []map[string]interface{} { + behavior := []map[string]interface{}{} + + fmt.Println("📊 Generating behavioral data...") + + for i, agent := range agents { + // Generate interaction patterns + behavior = append(behavior, map[string]interface{}{ + "agent_id": agent.Name, + "event_type": "task_completion", + "metrics": map[string]interface{}{ + "completion_time": 45 + i*15, // minutes + "quality_score": 0.85 + float64(i)*0.05, + "collaboration_score": 0.8 + float64(i)*0.03, + }, + "timestamp": time.Now().Add(-time.Duration(i*6) * time.Hour), + }) + + // Generate engagement metrics + behavior = append(behavior, map[string]interface{}{ + "agent_id": agent.Name, + "event_type": "engagement", + "metrics": map[string]interface{}{ + "messages_sent": 12 + i*3, + "responses_received": 8 + i*2, + "average_response_time": 5 + i*2, // minutes + }, + "timestamp": time.Now().Add(-time.Duration(i*12) * time.Hour), + }) + } + + fmt.Printf(" Generated %d behavioral data points\n", len(behavior)) + return behavior +} + +// loadAgentFromJSON loads a TinyPerson from a JSON file +func loadAgentFromJSON(filename string, cfg *config.Config) (*agent.TinyPerson, error) { + data, err := os.ReadFile(filename) + if err != nil { + return nil, fmt.Errorf("failed to read file: %w", err) + } + + var agentSpec struct { + Type string `json:"type"` + Persona agent.Persona `json:"persona"` + } + + if err := json.Unmarshal(data, &agentSpec); err != nil { + return nil, fmt.Errorf("failed to parse JSON: %w", err) + } + + if agentSpec.Type != "TinyPerson" { + return nil, fmt.Errorf("invalid agent type: %s", agentSpec.Type) + } + + // Create agent with the loaded persona + person := agent.NewTinyPerson(agentSpec.Persona.Name, cfg) + person.Persona = &agentSpec.Persona + + return person, nil +} + +// getOccupationTitle extracts the occupation title from an agent's persona +func getOccupationTitle(person *agent.TinyPerson) string { + if occupation, ok := person.Persona.Occupation.(map[string]interface{}); ok { + if title, ok := occupation["title"].(string); ok { + return title + } + } + return "Unknown" +} diff --git a/go/go.mod b/go/go.mod new file mode 100644 index 0000000..cbbe607 --- /dev/null +++ b/go/go.mod @@ -0,0 +1,5 @@ +module github.com/microsoft/TinyTroupe/go + +go 1.24.5 + +require github.com/sashabaranov/go-openai v1.40.5 diff --git a/go/go.sum b/go/go.sum new file mode 100644 index 0000000..3ee8942 --- /dev/null +++ b/go/go.sum @@ -0,0 +1,2 @@ +github.com/sashabaranov/go-openai v1.40.5 h1:SwIlNdWflzR1Rxd1gv3pUg6pwPc6cQ2uMoHs8ai+/NY= +github.com/sashabaranov/go-openai v1.40.5/go.mod h1:lj5b/K+zjTSFxVLijLSTDZuP7adOgerWeFyZLUhAKRg= diff --git a/go/pkg/agent/tiny_person.go b/go/pkg/agent/tiny_person.go new file mode 100644 index 0000000..7e9bcd2 --- /dev/null +++ b/go/pkg/agent/tiny_person.go @@ -0,0 +1,473 @@ +package agent + +import ( + "context" + "encoding/json" + "fmt" + "log" + "strings" + "time" + + "github.com/microsoft/TinyTroupe/go/pkg/config" + "github.com/microsoft/TinyTroupe/go/pkg/memory" + "github.com/microsoft/TinyTroupe/go/pkg/openai" +) + +// Action represents an action that an agent can take +type Action struct { + Type string `json:"type"` + Content interface{} `json:"content"` + Target string `json:"target,omitempty"` +} + +// Persona defines the characteristics of an agent +type Persona struct { + Name string `json:"name"` + Age int `json:"age,omitempty"` + Nationality string `json:"nationality,omitempty"` + Residence string `json:"residence,omitempty"` + Occupation interface{} `json:"occupation,omitempty"` // can be string or map + Personality map[string]interface{} `json:"personality,omitempty"` + Interests []string `json:"interests,omitempty"` + Goals []string `json:"goals,omitempty"` +} + +// MentalState represents the current mental state of an agent +type MentalState struct { + DateTime *time.Time `json:"datetime,omitempty"` + Location string `json:"location,omitempty"` + Context []string `json:"context,omitempty"` + Goals []string `json:"goals,omitempty"` + Attention string `json:"attention,omitempty"` + Emotions string `json:"emotions"` + Accessible []map[string]interface{} `json:"accessible_agents,omitempty"` +} + +// ToolRegistry interface for agent tool access +type ToolRegistry interface { + ProcessAction(ctx context.Context, agent ToolAgentInfo, action ToolAction, toolName string) (bool, error) + GetToolForAction(actionType string) (Tool, error) +} + +// Tool interface for agent tools +type Tool interface { + GetName() string + ProcessAction(ctx context.Context, agent ToolAgentInfo, action ToolAction) (bool, error) +} + +// ToolAgentInfo represents agent info for tool usage +type ToolAgentInfo struct { + Name string `json:"name"` + ID string `json:"id,omitempty"` +} + +// ToolAction represents an action for tool processing +type ToolAction struct { + Type string `json:"type"` + Content interface{} `json:"content"` + Target string `json:"target,omitempty"` + Options map[string]interface{} `json:"options,omitempty"` +} + +// TinyPerson represents a simulated person +type TinyPerson struct { + Name string + Persona *Persona + MentalState *MentalState + EpisodicMemory *memory.EpisodicMemory + SemanticMemory *memory.SemanticMemory + Environment Environment // Interface to be defined + AccessibleAgents []*TinyPerson + ActionsBuffer []Action + currentMessages []openai.Message + client *openai.Client + config *config.Config + episodeEventCount int + toolRegistry ToolRegistry +} + +// Environment interface that agents can be placed in +type Environment interface { + GetName() string + HandleAction(source *TinyPerson, action Action) error + GetCurrentDateTime() *time.Time +} + +// NewTinyPerson creates a new TinyPerson agent +func NewTinyPerson(name string, cfg *config.Config) *TinyPerson { + return &TinyPerson{ + Name: name, + Persona: &Persona{Name: name}, + MentalState: &MentalState{Emotions: "Feeling nothing in particular, just calm."}, + EpisodicMemory: memory.NewEpisodicMemory(20, 20), + SemanticMemory: memory.NewSemanticMemory(), + AccessibleAgents: make([]*TinyPerson, 0), + ActionsBuffer: make([]Action, 0), + currentMessages: make([]openai.Message, 0), + client: openai.NewClient(cfg), + config: cfg, + } +} + +// Define sets a persona attribute +func (tp *TinyPerson) Define(key string, value interface{}) { + switch key { + case "age": + if age, ok := value.(int); ok { + tp.Persona.Age = age + } + case "nationality": + if nationality, ok := value.(string); ok { + tp.Persona.Nationality = nationality + } + case "residence": + if residence, ok := value.(string); ok { + tp.Persona.Residence = residence + } + case "occupation": + tp.Persona.Occupation = value + case "personality": + if personality, ok := value.(map[string]interface{}); ok { + tp.Persona.Personality = personality + } + case "interests": + if interests, ok := value.([]string); ok { + tp.Persona.Interests = interests + } + case "goals": + if goals, ok := value.([]string); ok { + tp.Persona.Goals = goals + } + } +} + +// generateSystemPrompt creates the system prompt for the agent +func (tp *TinyPerson) generateSystemPrompt() string { + prompt := fmt.Sprintf(`You are %s, a simulated person in the TinyTroupe universe. + +PERSONA: +%s + +MENTAL STATE: +%s + +You must respond with valid JSON containing an "action" field and optionally a "cognitive_state" field. + +Available actions: +- TALK: Communicate with another agent (requires "target" and "content") +- THINK: Internal thought process (requires "content") +- WRITE_DOCUMENT: Create a document (requires "content" with title, content, and optionally type) +- EXPORT_DATA: Export data or insights (requires "content" with data, filename, and format) +- DONE: Finish acting for now + +Example response: +{ + "action": { + "type": "TALK", + "content": "Hello, how are you?", + "target": "AgentName" + }, + "cognitive_state": { + "emotions": "feeling curious", + "goals": ["learn about other agents"], + "context": ["in conversation"] + } +}`, tp.Name, tp.personaToString(), tp.mentalStateToString()) + + return prompt +} + +// personaToString converts persona to string representation +func (tp *TinyPerson) personaToString() string { + var parts []string + + if tp.Persona.Age > 0 { + parts = append(parts, fmt.Sprintf("Age: %d", tp.Persona.Age)) + } + if tp.Persona.Nationality != "" { + parts = append(parts, fmt.Sprintf("Nationality: %s", tp.Persona.Nationality)) + } + if tp.Persona.Residence != "" { + parts = append(parts, fmt.Sprintf("Residence: %s", tp.Persona.Residence)) + } + if tp.Persona.Occupation != nil { + parts = append(parts, fmt.Sprintf("Occupation: %v", tp.Persona.Occupation)) + } + if len(tp.Persona.Interests) > 0 { + parts = append(parts, fmt.Sprintf("Interests: %s", strings.Join(tp.Persona.Interests, ", "))) + } + if len(tp.Persona.Goals) > 0 { + parts = append(parts, fmt.Sprintf("Goals: %s", strings.Join(tp.Persona.Goals, ", "))) + } + + return strings.Join(parts, "\n") +} + +// mentalStateToString converts mental state to string representation +func (tp *TinyPerson) mentalStateToString() string { + var parts []string + + if tp.MentalState.Location != "" { + parts = append(parts, fmt.Sprintf("Location: %s", tp.MentalState.Location)) + } + if len(tp.MentalState.Context) > 0 { + parts = append(parts, fmt.Sprintf("Context: %s", strings.Join(tp.MentalState.Context, ", "))) + } + if len(tp.MentalState.Goals) > 0 { + parts = append(parts, fmt.Sprintf("Current Goals: %s", strings.Join(tp.MentalState.Goals, ", "))) + } + if tp.MentalState.Emotions != "" { + parts = append(parts, fmt.Sprintf("Emotions: %s", tp.MentalState.Emotions)) + } + + return strings.Join(parts, "\n") +} + +// resetPrompt rebuilds the conversation context +func (tp *TinyPerson) resetPrompt() { + systemPrompt := tp.generateSystemPrompt() + + tp.currentMessages = []openai.Message{ + {Role: "system", Content: systemPrompt}, + {Role: "system", Content: "The next messages are your recent episodic memories to help contextualize your actions."}, + } + + // Add recent memories + recentMemories := tp.EpisodicMemory.RetrieveRecent() + for _, memory := range recentMemories { + content := "" + if memory.Type == "stimulus" { + content = fmt.Sprintf("STIMULUS: %v", memory.Content) + } else if memory.Type == "action" { + content = fmt.Sprintf("ACTION: %v", memory.Content) + } + + if content != "" { + tp.currentMessages = append(tp.currentMessages, openai.Message{ + Role: memory.Role, + Content: content, + }) + } + } +} + +// Listen processes incoming speech/stimuli +func (tp *TinyPerson) Listen(speech string, source *TinyPerson) error { + stimulus := map[string]interface{}{ + "type": "CONVERSATION", + "content": speech, + "source": "", + } + + if source != nil { + stimulus["source"] = source.Name + } + + content := map[string]interface{}{ + "stimuli": []interface{}{stimulus}, + } + + memoryItem := memory.MemoryItem{ + Role: "user", + Content: content, + Type: "stimulus", + SimulationTimestamp: time.Now(), + } + + tp.EpisodicMemory.Store(memoryItem) + tp.episodeEventCount++ + + log.Printf("[%s] Listening to: %s", tp.Name, speech) + return nil +} + +// Act generates and executes actions +func (tp *TinyPerson) Act(ctx context.Context) ([]Action, error) { + tp.resetPrompt() + + // Generate action using LLM + response, err := tp.client.ChatCompletion(ctx, tp.currentMessages) + if err != nil { + return nil, fmt.Errorf("failed to generate action: %w", err) + } + + // Parse JSON response + var actionResponse struct { + Action Action `json:"action"` + CognitiveState map[string]interface{} `json:"cognitive_state,omitempty"` + } + + if err := json.Unmarshal([]byte(response.Content), &actionResponse); err != nil { + return nil, fmt.Errorf("failed to parse action response: %w", err) + } + + action := actionResponse.Action + + // Store action in memory + memoryContent := map[string]interface{}{ + "action": action, + } + if actionResponse.CognitiveState != nil { + memoryContent["cognitive_state"] = actionResponse.CognitiveState + } + + memoryItem := memory.MemoryItem{ + Role: "assistant", + Content: memoryContent, + Type: "action", + SimulationTimestamp: time.Now(), + } + + tp.EpisodicMemory.Store(memoryItem) + tp.episodeEventCount++ + + // Update cognitive state if provided + if actionResponse.CognitiveState != nil { + tp.updateCognitiveState(actionResponse.CognitiveState) + } + + // Try to process action with tools first + toolProcessed, toolErr := tp.processToolAction(ctx, action) + if toolErr != nil { + log.Printf("[%s] Tool processing error: %v", tp.Name, toolErr) + } + + // Add to actions buffer + tp.ActionsBuffer = append(tp.ActionsBuffer, action) + + // Check if episode is too long + if tp.episodeEventCount >= tp.config.MaxEpisodeLength { + tp.consolidateEpisode() + } + + if toolProcessed { + log.Printf("[%s] Action: %s - %v (processed by tool)", tp.Name, action.Type, action.Content) + } else { + log.Printf("[%s] Action: %s - %v", tp.Name, action.Type, action.Content) + } + return []Action{action}, nil +} + +// ListenAndAct combines listening and acting +func (tp *TinyPerson) ListenAndAct(ctx context.Context, speech string, source *TinyPerson) ([]Action, error) { + if err := tp.Listen(speech, source); err != nil { + return nil, err + } + return tp.Act(ctx) +} + +// PopLatestActions returns and clears the actions buffer +func (tp *TinyPerson) PopLatestActions() []Action { + actions := tp.ActionsBuffer + tp.ActionsBuffer = make([]Action, 0) + return actions +} + +// updateCognitiveState updates the agent's mental state +func (tp *TinyPerson) updateCognitiveState(state map[string]interface{}) { + if emotions, ok := state["emotions"].(string); ok { + tp.MentalState.Emotions = emotions + } + if goals, ok := state["goals"].([]interface{}); ok { + tp.MentalState.Goals = make([]string, len(goals)) + for i, goal := range goals { + if goalStr, ok := goal.(string); ok { + tp.MentalState.Goals[i] = goalStr + } + } + } + if context, ok := state["context"].([]interface{}); ok { + tp.MentalState.Context = make([]string, len(context)) + for i, ctx := range context { + if ctxStr, ok := ctx.(string); ok { + tp.MentalState.Context[i] = ctxStr + } + } + } +} + +// consolidateEpisode commits current episode to long-term memory +func (tp *TinyPerson) consolidateEpisode() { + if tp.episodeEventCount >= tp.config.MinEpisodeLength { + log.Printf("[%s] Consolidating episode with %d events", tp.Name, tp.episodeEventCount) + + // TODO: Implement semantic memory consolidation using LLM + episode := tp.EpisodicMemory.GetCurrentEpisode() + if len(episode) > 0 { + // For now, just create a simple summary + summary := fmt.Sprintf("Episode with %d events involving %s", len(episode), tp.Name) + tp.SemanticMemory.Store(summary) + } + + tp.EpisodicMemory.CommitEpisode() + tp.episodeEventCount = 0 + } +} + +// MakeAgentAccessible adds another agent to the accessible list +func (tp *TinyPerson) MakeAgentAccessible(agent *TinyPerson) { + // Check if already accessible + for _, existing := range tp.AccessibleAgents { + if existing.Name == agent.Name { + return + } + } + + tp.AccessibleAgents = append(tp.AccessibleAgents, agent) + + // Update mental state + tp.MentalState.Accessible = append(tp.MentalState.Accessible, map[string]interface{}{ + "name": agent.Name, + "relation_description": "An agent I can currently interact with.", + }) +} + +// SetEnvironment sets the environment for this agent +func (tp *TinyPerson) SetEnvironment(env Environment) { + tp.Environment = env +} + +// SetToolRegistry sets the tool registry for this agent +func (tp *TinyPerson) SetToolRegistry(registry ToolRegistry) { + tp.toolRegistry = registry +} + +// processToolAction attempts to process an action with available tools +func (tp *TinyPerson) processToolAction(ctx context.Context, action Action) (bool, error) { + if tp.toolRegistry == nil { + return false, nil // No tools available + } + + // Convert Action to ToolAction + toolAction := ToolAction{ + Type: action.Type, + Content: action.Content, + Target: action.Target, + Options: make(map[string]interface{}), + } + + // Create agent info + agentInfo := ToolAgentInfo{ + Name: tp.Name, + ID: tp.Name, // Using name as ID for now + } + + // Try to find appropriate tool for this action + tool, err := tp.toolRegistry.GetToolForAction(action.Type) + if err != nil { + return false, nil // No tool found for this action type + } + + // Process action with the tool + success, err := tool.ProcessAction(ctx, agentInfo, toolAction) + if err != nil { + log.Printf("[%s] Tool processing failed: %v", tp.Name, err) + return false, err + } + + if success { + log.Printf("[%s] Successfully processed %s action with tool %s", tp.Name, action.Type, tool.GetName()) + } + + return success, nil +} diff --git a/go/pkg/agent/tiny_person_test.go b/go/pkg/agent/tiny_person_test.go new file mode 100644 index 0000000..ff71036 --- /dev/null +++ b/go/pkg/agent/tiny_person_test.go @@ -0,0 +1,234 @@ +package agent + +import ( + "testing" + + "github.com/microsoft/TinyTroupe/go/pkg/config" +) + +func TestTinyPersonCreation(t *testing.T) { + cfg := config.DefaultConfig() + person := NewTinyPerson("TestAgent", cfg) + + if person.Name != "TestAgent" { + t.Errorf("Expected name 'TestAgent', got '%s'", person.Name) + } + + if person.Persona.Name != "TestAgent" { + t.Errorf("Expected persona name 'TestAgent', got '%s'", person.Persona.Name) + } + + if person.MentalState.Emotions != "Feeling nothing in particular, just calm." { + t.Errorf("Unexpected default emotion state") + } +} + +func TestPersonaDefinition(t *testing.T) { + cfg := config.DefaultConfig() + person := NewTinyPerson("TestAgent", cfg) + + // Test age definition + person.Define("age", 25) + if person.Persona.Age != 25 { + t.Errorf("Expected age 25, got %d", person.Persona.Age) + } + + // Test nationality definition + person.Define("nationality", "American") + if person.Persona.Nationality != "American" { + t.Errorf("Expected nationality 'American', got '%s'", person.Persona.Nationality) + } + + // Test interests definition + interests := []string{"reading", "coding", "music"} + person.Define("interests", interests) + if len(person.Persona.Interests) != 3 { + t.Errorf("Expected 3 interests, got %d", len(person.Persona.Interests)) + } + if person.Persona.Interests[0] != "reading" { + t.Errorf("Expected first interest 'reading', got '%s'", person.Persona.Interests[0]) + } + + // Test occupation definition + occupation := map[string]interface{}{ + "title": "Software Engineer", + "organization": "Tech Corp", + } + person.Define("occupation", occupation) + if occMap, ok := person.Persona.Occupation.(map[string]interface{}); ok { + if occMap["title"] != "Software Engineer" { + t.Errorf("Expected occupation title 'Software Engineer'") + } + } else { + t.Errorf("Expected occupation to be a map") + } +} + +func TestListening(t *testing.T) { + cfg := config.DefaultConfig() + person := NewTinyPerson("TestAgent", cfg) + + // Test listening without source + err := person.Listen("Hello, how are you?", nil) + if err != nil { + t.Errorf("Listen failed: %v", err) + } + + // Check that memory was updated + episode := person.EpisodicMemory.GetCurrentEpisode() + if len(episode) != 1 { + t.Errorf("Expected 1 memory item, got %d", len(episode)) + } + + if episode[0].Type != "stimulus" { + t.Errorf("Expected stimulus type, got '%s'", episode[0].Type) + } + + if episode[0].Role != "user" { + t.Errorf("Expected user role, got '%s'", episode[0].Role) + } +} + +func TestListeningWithSource(t *testing.T) { + cfg := config.DefaultConfig() + person1 := NewTinyPerson("Alice", cfg) + person2 := NewTinyPerson("Bob", cfg) + + // Test listening with source + err := person1.Listen("Hello Alice!", person2) + if err != nil { + t.Errorf("Listen with source failed: %v", err) + } + + // Check memory content + episode := person1.EpisodicMemory.GetCurrentEpisode() + if len(episode) != 1 { + t.Errorf("Expected 1 memory item, got %d", len(episode)) + } + + stimuli, ok := episode[0].Content["stimuli"].([]interface{}) + if !ok { + t.Errorf("Expected stimuli array in memory content") + } + + if len(stimuli) != 1 { + t.Errorf("Expected 1 stimulus, got %d", len(stimuli)) + } + + stimulus, ok := stimuli[0].(map[string]interface{}) + if !ok { + t.Errorf("Expected stimulus to be a map") + } + + if stimulus["source"] != "Bob" { + t.Errorf("Expected source 'Bob', got '%v'", stimulus["source"]) + } + + if stimulus["content"] != "Hello Alice!" { + t.Errorf("Expected content 'Hello Alice!', got '%v'", stimulus["content"]) + } +} + +func TestAgentAccessibility(t *testing.T) { + cfg := config.DefaultConfig() + alice := NewTinyPerson("Alice", cfg) + bob := NewTinyPerson("Bob", cfg) + + // Initially, agents should not be accessible to each other + if len(alice.AccessibleAgents) != 0 { + t.Errorf("Expected 0 accessible agents initially, got %d", len(alice.AccessibleAgents)) + } + + // Make Bob accessible to Alice + alice.MakeAgentAccessible(bob) + + if len(alice.AccessibleAgents) != 1 { + t.Errorf("Expected 1 accessible agent, got %d", len(alice.AccessibleAgents)) + } + + if alice.AccessibleAgents[0].Name != "Bob" { + t.Errorf("Expected accessible agent 'Bob', got '%s'", alice.AccessibleAgents[0].Name) + } + + // Check mental state was updated + if len(alice.MentalState.Accessible) != 1 { + t.Errorf("Expected 1 accessible agent in mental state, got %d", len(alice.MentalState.Accessible)) + } + + // Adding the same agent again should not create duplicates + alice.MakeAgentAccessible(bob) + if len(alice.AccessibleAgents) != 1 { + t.Errorf("Expected still 1 accessible agent after duplicate add, got %d", len(alice.AccessibleAgents)) + } +} + +func TestActionBuffer(t *testing.T) { + cfg := config.DefaultConfig() + person := NewTinyPerson("TestAgent", cfg) + + // Initially buffer should be empty + actions := person.PopLatestActions() + if len(actions) != 0 { + t.Errorf("Expected empty action buffer initially, got %d actions", len(actions)) + } + + // Add some actions manually (simulating what Act() would do) + action1 := Action{Type: "TALK", Content: "Hello", Target: "Someone"} + action2 := Action{Type: "THINK", Content: "I should respond"} + + person.ActionsBuffer = append(person.ActionsBuffer, action1, action2) + + // Pop actions + actions = person.PopLatestActions() + if len(actions) != 2 { + t.Errorf("Expected 2 actions, got %d", len(actions)) + } + + if actions[0].Type != "TALK" { + t.Errorf("Expected first action type 'TALK', got '%s'", actions[0].Type) + } + + if actions[1].Type != "THINK" { + t.Errorf("Expected second action type 'THINK', got '%s'", actions[1].Type) + } + + // Buffer should be empty after pop + actions = person.PopLatestActions() + if len(actions) != 0 { + t.Errorf("Expected empty buffer after pop, got %d actions", len(actions)) + } +} + +func TestCognitiveStateUpdate(t *testing.T) { + cfg := config.DefaultConfig() + person := NewTinyPerson("TestAgent", cfg) + + // Update cognitive state + state := map[string]interface{}{ + "emotions": "feeling excited", + "goals": []interface{}{"learn Go", "build AI"}, + "context": []interface{}{"programming", "testing"}, + } + + person.updateCognitiveState(state) + + if person.MentalState.Emotions != "feeling excited" { + t.Errorf("Expected emotions 'feeling excited', got '%s'", person.MentalState.Emotions) + } + + if len(person.MentalState.Goals) != 2 { + t.Errorf("Expected 2 goals, got %d", len(person.MentalState.Goals)) + } + + if person.MentalState.Goals[0] != "learn Go" { + t.Errorf("Expected first goal 'learn Go', got '%s'", person.MentalState.Goals[0]) + } + + if len(person.MentalState.Context) != 2 { + t.Errorf("Expected 2 context items, got %d", len(person.MentalState.Context)) + } + + if person.MentalState.Context[0] != "programming" { + t.Errorf("Expected first context 'programming', got '%s'", person.MentalState.Context[0]) + } +} diff --git a/go/pkg/config/config.go b/go/pkg/config/config.go new file mode 100644 index 0000000..49ae5af --- /dev/null +++ b/go/pkg/config/config.go @@ -0,0 +1,150 @@ +package config + +import ( + "bufio" + "os" + "strconv" + "strings" + "time" +) + +// Config holds all configuration values for TinyTroupe +type Config struct { + // OpenAI Configuration + APIType string + APIKey string + AzureEndpoint string + Model string + EmbeddingModel string + MaxTokens int + Temperature float64 + TopP float64 + FrequencyPenalty float64 + PresencePenalty float64 + Timeout time.Duration + MaxAttempts int + + // Simulation Configuration + ParallelAgentActions bool + + // Memory Configuration + EnableMemoryConsolidation bool + MinEpisodeLength int + MaxEpisodeLength int + + // Logging + LogLevel string + + // Display + MaxContentDisplayLength int +} + +// LoadEnvFile loads environment variables from a .env file +func LoadEnvFile(filename string) error { + file, err := os.Open(filename) + if err != nil { + return err + } + defer file.Close() + + scanner := bufio.NewScanner(file) + for scanner.Scan() { + line := strings.TrimSpace(scanner.Text()) + if line == "" || strings.HasPrefix(line, "#") { + continue + } + + parts := strings.SplitN(line, "=", 2) + if len(parts) != 2 { + continue + } + + key := strings.TrimSpace(parts[0]) + value := strings.TrimSpace(parts[1]) + + // Remove quotes if present + if (strings.HasPrefix(value, "\"") && strings.HasSuffix(value, "\"")) || + (strings.HasPrefix(value, "'") && strings.HasSuffix(value, "'")) { + value = value[1 : len(value)-1] + } + + os.Setenv(key, value) + } + + return scanner.Err() +} + +// DefaultConfig returns the default configuration +func DefaultConfig() *Config { + // Try to load .env file automatically + LoadEnvFile(".env") + + return defaultConfigInternal() +} + +// DefaultConfigWithoutEnv returns default config without loading .env +func DefaultConfigWithoutEnv() *Config { + return defaultConfigInternal() +} + +// defaultConfigInternal contains the actual config creation logic +func defaultConfigInternal() *Config { + return &Config{ + APIType: getEnvOrDefault("TINYTROUPE_API_TYPE", "openai"), + APIKey: os.Getenv("OPENAI_API_KEY"), + AzureEndpoint: os.Getenv("AZURE_OPENAI_ENDPOINT"), + Model: getEnvOrDefault("TINYTROUPE_MODEL", "gpt-4o-mini"), + EmbeddingModel: getEnvOrDefault("TINYTROUPE_EMBEDDING_MODEL", "text-embedding-3-small"), + MaxTokens: getEnvIntOrDefault("TINYTROUPE_MAX_TOKENS", 1024), + Temperature: getEnvFloatOrDefault("TINYTROUPE_TEMPERATURE", 1.0), + TopP: getEnvFloatOrDefault("TINYTROUPE_TOP_P", 1.0), + FrequencyPenalty: getEnvFloatOrDefault("TINYTROUPE_FREQ_PENALTY", 0.0), + PresencePenalty: getEnvFloatOrDefault("TINYTROUPE_PRESENCE_PENALTY", 0.0), + Timeout: time.Duration(getEnvIntOrDefault("TINYTROUPE_TIMEOUT", 30)) * time.Second, + MaxAttempts: getEnvIntOrDefault("TINYTROUPE_MAX_ATTEMPTS", 3), + ParallelAgentActions: getEnvBoolOrDefault("TINYTROUPE_PARALLEL_ACTIONS", true), + EnableMemoryConsolidation: getEnvBoolOrDefault("TINYTROUPE_ENABLE_MEMORY_CONSOLIDATION", true), + MinEpisodeLength: getEnvIntOrDefault("TINYTROUPE_MIN_EPISODE_LENGTH", 15), + MaxEpisodeLength: getEnvIntOrDefault("TINYTROUPE_MAX_EPISODE_LENGTH", 50), + LogLevel: getEnvOrDefault("TINYTROUPE_LOG_LEVEL", "INFO"), + MaxContentDisplayLength: getEnvIntOrDefault("TINYTROUPE_MAX_CONTENT_DISPLAY_LENGTH", 1024), + } +} + +// getEnvOrDefault returns environment variable value or default +func getEnvOrDefault(key, defaultValue string) string { + if value := os.Getenv(key); value != "" { + return value + } + return defaultValue +} + +// getEnvIntOrDefault returns environment variable as int or default +func getEnvIntOrDefault(key string, defaultValue int) int { + if value := os.Getenv(key); value != "" { + if intValue, err := strconv.Atoi(value); err == nil { + return intValue + } + } + return defaultValue +} + +// getEnvFloatOrDefault returns environment variable as float64 or default +func getEnvFloatOrDefault(key string, defaultValue float64) float64 { + if value := os.Getenv(key); value != "" { + if floatValue, err := strconv.ParseFloat(value, 64); err == nil { + return floatValue + } + } + return defaultValue +} + +// getEnvBoolOrDefault returns environment variable as bool or default +func getEnvBoolOrDefault(key string, defaultValue bool) bool { + if value := os.Getenv(key); value != "" { + if boolValue, err := strconv.ParseBool(value); err == nil { + return boolValue + } + } + return defaultValue +} diff --git a/go/pkg/config/config_test.go b/go/pkg/config/config_test.go new file mode 100644 index 0000000..a93f231 --- /dev/null +++ b/go/pkg/config/config_test.go @@ -0,0 +1,73 @@ +package config + +import ( + "os" + "testing" + "time" +) + +func TestDefaultConfig(t *testing.T) { + cfg := DefaultConfig() + + if cfg.Model != "gpt-4o-mini" { + t.Errorf("Expected default model 'gpt-4o-mini', got '%s'", cfg.Model) + } + + if cfg.MaxTokens != 1024 { + t.Errorf("Expected default max tokens 1024, got %d", cfg.MaxTokens) + } + + if cfg.Temperature != 1.0 { + t.Errorf("Expected default temperature 1.0, got %f", cfg.Temperature) + } + + if cfg.ParallelAgentActions != true { + t.Errorf("Expected parallel agent actions to be true by default") + } +} + +func TestEnvironmentVariableOverrides(t *testing.T) { + // Set environment variables + os.Setenv("TINYTROUPE_MODEL", "gpt-4") + os.Setenv("TINYTROUPE_MAX_TOKENS", "2048") + os.Setenv("TINYTROUPE_TEMPERATURE", "0.5") + os.Setenv("TINYTROUPE_PARALLEL_ACTIONS", "false") + + defer func() { + // Clean up + os.Unsetenv("TINYTROUPE_MODEL") + os.Unsetenv("TINYTROUPE_MAX_TOKENS") + os.Unsetenv("TINYTROUPE_TEMPERATURE") + os.Unsetenv("TINYTROUPE_PARALLEL_ACTIONS") + }() + + cfg := DefaultConfig() + + if cfg.Model != "gpt-4" { + t.Errorf("Expected model override 'gpt-4', got '%s'", cfg.Model) + } + + if cfg.MaxTokens != 2048 { + t.Errorf("Expected max tokens override 2048, got %d", cfg.MaxTokens) + } + + if cfg.Temperature != 0.5 { + t.Errorf("Expected temperature override 0.5, got %f", cfg.Temperature) + } + + if cfg.ParallelAgentActions != false { + t.Errorf("Expected parallel agent actions override to be false") + } +} + +func TestTimeoutParsing(t *testing.T) { + os.Setenv("TINYTROUPE_TIMEOUT", "60") + defer os.Unsetenv("TINYTROUPE_TIMEOUT") + + cfg := DefaultConfig() + expected := 60 * time.Second + + if cfg.Timeout != expected { + t.Errorf("Expected timeout %v, got %v", expected, cfg.Timeout) + } +} diff --git a/go/pkg/control/control.go b/go/pkg/control/control.go new file mode 100644 index 0000000..29a0e88 --- /dev/null +++ b/go/pkg/control/control.go @@ -0,0 +1,274 @@ +// Package control provides simulation control and orchestration capabilities. +// This is a core module for managing the lifecycle of TinyTroupe simulations. +package control + +import ( + "context" + "sync" + "time" +) + +// SimulationController manages the overall simulation lifecycle +type SimulationController interface { + // Start begins the simulation + Start(ctx context.Context) error + + // Stop gracefully stops the simulation + Stop(ctx context.Context) error + + // Pause temporarily halts the simulation + Pause() error + + // Resume continues a paused simulation + Resume() error + + // GetStatus returns the current simulation status + GetStatus() SimulationStatus + + // SetTimeAdvancement configures how simulation time progresses + SetTimeAdvancement(advancement TimeAdvancement) +} + +// SimulationStatus represents the current state of a simulation +type SimulationStatus struct { + State SimulationState + StartTime time.Time + CurrentTime time.Time + Duration time.Duration + StepCount int64 +} + +// SimulationState represents possible simulation states +type SimulationState int + +const ( + SimulationStateStopped SimulationState = iota + SimulationStateRunning + SimulationStatePaused + SimulationStateError +) + +func (s SimulationState) String() string { + switch s { + case SimulationStateStopped: + return "stopped" + case SimulationStateRunning: + return "running" + case SimulationStatePaused: + return "paused" + case SimulationStateError: + return "error" + default: + return "unknown" + } +} + +// TimeAdvancement defines how simulation time progresses +type TimeAdvancement interface { + // Advance returns the next time step + Advance(current time.Time) time.Time + + // GetInterval returns the time interval between steps + GetInterval() time.Duration +} + +// LinearTimeAdvancement advances time by a fixed interval +type LinearTimeAdvancement struct { + Interval time.Duration +} + +// Advance implements TimeAdvancement +func (lta *LinearTimeAdvancement) Advance(current time.Time) time.Time { + return current.Add(lta.Interval) +} + +// GetInterval implements TimeAdvancement +func (lta *LinearTimeAdvancement) GetInterval() time.Duration { + return lta.Interval +} + +// SimulationConfig holds configuration for simulation control +type SimulationConfig struct { + MaxSteps int64 + MaxDuration time.Duration + TimeAdvancement TimeAdvancement + AutoSave bool + AutoSaveInterval time.Duration +} + +// DefaultSimulationConfig returns a default simulation configuration +func DefaultSimulationConfig() *SimulationConfig { + return &SimulationConfig{ + MaxSteps: 1000, + MaxDuration: time.Hour, + TimeAdvancement: &LinearTimeAdvancement{Interval: time.Minute}, + AutoSave: true, + AutoSaveInterval: 10 * time.Minute, + } +} + +// BasicSimulationController provides a simple implementation of SimulationController. +// It manages simulation time progression and basic lifecycle operations. +type BasicSimulationController struct { + mu sync.Mutex + config *SimulationConfig + status SimulationStatus + ticker *time.Ticker + cancel context.CancelFunc + paused bool +} + +// NewBasicSimulationController creates a controller with the provided configuration. +func NewBasicSimulationController(config *SimulationConfig) *BasicSimulationController { + cfg := config + if cfg == nil { + cfg = DefaultSimulationConfig() + } + if cfg.TimeAdvancement == nil { + cfg.TimeAdvancement = &LinearTimeAdvancement{Interval: time.Second} + } + return &BasicSimulationController{config: cfg} +} + +// Start begins the simulation loop. +func (c *BasicSimulationController) Start(ctx context.Context) error { + c.mu.Lock() + defer c.mu.Unlock() + + if c.status.State == SimulationStateRunning { + return nil + } + + c.status.State = SimulationStateRunning + c.status.StartTime = time.Now() + c.status.CurrentTime = c.status.StartTime + c.status.StepCount = 0 + + var runCtx context.Context + runCtx, c.cancel = context.WithCancel(ctx) + c.ticker = time.NewTicker(c.config.TimeAdvancement.GetInterval()) + go c.run(runCtx) + return nil +} + +func (c *BasicSimulationController) run(ctx context.Context) { + for { + c.mu.Lock() + ticker := c.ticker + paused := c.paused + c.mu.Unlock() + + if paused || ticker == nil { + select { + case <-ctx.Done(): + c.Stop(context.Background()) + return + case <-time.After(10 * time.Millisecond): + continue + } + } + + select { + case <-ctx.Done(): + c.Stop(context.Background()) + return + case <-ticker.C: + c.step() + } + } +} + +func (c *BasicSimulationController) step() { + c.mu.Lock() + defer c.mu.Unlock() + + if c.paused || c.status.State != SimulationStateRunning { + return + } + + c.status.StepCount++ + c.status.CurrentTime = c.config.TimeAdvancement.Advance(c.status.CurrentTime) + c.status.Duration = time.Since(c.status.StartTime) + + if (c.config.MaxSteps > 0 && c.status.StepCount >= c.config.MaxSteps) || + (c.config.MaxDuration > 0 && c.status.Duration >= c.config.MaxDuration) { + // trigger stop asynchronously to avoid deadlock + go c.Stop(context.Background()) + } +} + +// Stop terminates the simulation. +func (c *BasicSimulationController) Stop(ctx context.Context) error { + c.mu.Lock() + if c.status.State == SimulationStateStopped { + c.mu.Unlock() + return nil + } + if c.ticker != nil { + c.ticker.Stop() + c.ticker = nil + } + if c.cancel != nil { + c.cancel() + c.cancel = nil + } + c.status.State = SimulationStateStopped + c.mu.Unlock() + return nil +} + +// Pause temporarily halts the simulation. +func (c *BasicSimulationController) Pause() error { + c.mu.Lock() + defer c.mu.Unlock() + + if c.status.State != SimulationStateRunning { + return nil + } + c.paused = true + c.status.State = SimulationStatePaused + if c.ticker != nil { + c.ticker.Stop() + c.ticker = nil + } + return nil +} + +// Resume continues a paused simulation. +func (c *BasicSimulationController) Resume() error { + c.mu.Lock() + defer c.mu.Unlock() + + if c.status.State != SimulationStatePaused { + return nil + } + c.paused = false + c.status.State = SimulationStateRunning + if c.ticker == nil { + c.ticker = time.NewTicker(c.config.TimeAdvancement.GetInterval()) + go c.run(context.Background()) + } + return nil +} + +// GetStatus returns the current simulation status. +func (c *BasicSimulationController) GetStatus() SimulationStatus { + c.mu.Lock() + defer c.mu.Unlock() + return c.status +} + +// SetTimeAdvancement configures how simulation time progresses. +func (c *BasicSimulationController) SetTimeAdvancement(advancement TimeAdvancement) { + c.mu.Lock() + defer c.mu.Unlock() + + if advancement == nil { + return + } + c.config.TimeAdvancement = advancement + if c.ticker != nil { + c.ticker.Stop() + c.ticker = time.NewTicker(advancement.GetInterval()) + } +} diff --git a/go/pkg/control/control_test.go b/go/pkg/control/control_test.go new file mode 100644 index 0000000..251ca37 --- /dev/null +++ b/go/pkg/control/control_test.go @@ -0,0 +1,117 @@ +package control + +import ( + "context" + "testing" + "time" +) + +func TestLinearTimeAdvancement(t *testing.T) { + lta := &LinearTimeAdvancement{Interval: time.Minute} + + current := time.Now() + next := lta.Advance(current) + + if next.Sub(current) != time.Minute { + t.Errorf("Expected advancement of 1 minute, got %v", next.Sub(current)) + } + + if lta.GetInterval() != time.Minute { + t.Errorf("Expected interval of 1 minute, got %v", lta.GetInterval()) + } +} + +func TestSimulationStateString(t *testing.T) { + tests := []struct { + state SimulationState + expected string + }{ + {SimulationStateStopped, "stopped"}, + {SimulationStateRunning, "running"}, + {SimulationStatePaused, "paused"}, + {SimulationStateError, "error"}, + } + + for _, test := range tests { + if test.state.String() != test.expected { + t.Errorf("Expected %s, got %s", test.expected, test.state.String()) + } + } +} + +func TestDefaultSimulationConfig(t *testing.T) { + config := DefaultSimulationConfig() + + if config.MaxSteps != 1000 { + t.Errorf("Expected MaxSteps to be 1000, got %d", config.MaxSteps) + } + + if config.MaxDuration != time.Hour { + t.Errorf("Expected MaxDuration to be 1 hour, got %v", config.MaxDuration) + } + + if !config.AutoSave { + t.Error("Expected AutoSave to be true") + } + + if config.AutoSaveInterval != 10*time.Minute { + t.Errorf("Expected AutoSaveInterval to be 10 minutes, got %v", config.AutoSaveInterval) + } + + if config.TimeAdvancement == nil { + t.Error("Expected TimeAdvancement to be set") + } +} + +func TestBasicSimulationControllerLifecycle(t *testing.T) { + cfg := &SimulationConfig{TimeAdvancement: &LinearTimeAdvancement{Interval: time.Millisecond}} + controller := NewBasicSimulationController(cfg) + ctx, cancel := context.WithCancel(context.Background()) + defer cancel() + + if err := controller.Start(ctx); err != nil { + t.Fatalf("Start failed: %v", err) + } + time.Sleep(2 * time.Millisecond) + if controller.GetStatus().State != SimulationStateRunning { + t.Fatalf("Expected running state, got %v", controller.GetStatus().State) + } + + if err := controller.Pause(); err != nil { + t.Fatalf("Pause failed: %v", err) + } + if controller.GetStatus().State != SimulationStatePaused { + t.Fatalf("Expected paused state, got %v", controller.GetStatus().State) + } + + if err := controller.Resume(); err != nil { + t.Fatalf("Resume failed: %v", err) + } + if controller.GetStatus().State != SimulationStateRunning { + t.Fatalf("Expected running state after resume, got %v", controller.GetStatus().State) + } + + if err := controller.Stop(ctx); err != nil { + t.Fatalf("Stop failed: %v", err) + } + if controller.GetStatus().State != SimulationStateStopped { + t.Fatalf("Expected stopped state, got %v", controller.GetStatus().State) + } +} + +func TestBasicSimulationControllerAutoStopByMaxSteps(t *testing.T) { + cfg := &SimulationConfig{MaxSteps: 3, TimeAdvancement: &LinearTimeAdvancement{Interval: time.Millisecond}} + controller := NewBasicSimulationController(cfg) + if err := controller.Start(context.Background()); err != nil { + t.Fatalf("Start failed: %v", err) + } + + time.Sleep(10 * time.Millisecond) + status := controller.GetStatus() + if status.StepCount != 3 { + t.Fatalf("Expected 3 steps, got %d", status.StepCount) + } + if status.State != SimulationStateStopped { + t.Fatalf("Expected stopped state, got %v", status.State) + } +} diff --git a/go/pkg/enrichment/enrichment.go b/go/pkg/enrichment/enrichment.go new file mode 100644 index 0000000..dafbe37 --- /dev/null +++ b/go/pkg/enrichment/enrichment.go @@ -0,0 +1,336 @@ +// Package enrichment provides data enrichment capabilities for TinyTroupe simulations. +// This module handles data augmentation, context enhancement, and background knowledge integration. +package enrichment + +import ( + "context" + "fmt" + "strings" + "time" +) + +// EnrichmentType represents different types of enrichment operations +type EnrichmentType string + +const ( + ContextEnrichment EnrichmentType = "context" + TemporalEnrichment EnrichmentType = "temporal" + PersonalityEnrichment EnrichmentType = "personality" + BackgroundEnrichment EnrichmentType = "background" +) + +// EnrichmentRequest represents a request to enrich some data +type EnrichmentRequest struct { + Type EnrichmentType `json:"type"` + Data interface{} `json:"data"` + Context map[string]interface{} `json:"context,omitempty"` + AgentID string `json:"agent_id,omitempty"` + Metadata map[string]interface{} `json:"metadata,omitempty"` +} + +// EnrichmentResult represents the result of an enrichment operation +type EnrichmentResult struct { + OriginalData interface{} `json:"original_data"` + EnrichedData interface{} `json:"enriched_data"` + Additions map[string]interface{} `json:"additions"` + Type EnrichmentType `json:"type"` + Timestamp time.Time `json:"timestamp"` + Metadata map[string]interface{} `json:"metadata,omitempty"` +} + +// Enricher interface defines enrichment capabilities +type Enricher interface { + // Enrich enhances the provided data with additional context + Enrich(ctx context.Context, req *EnrichmentRequest) (*EnrichmentResult, error) + + // GetSupportedTypes returns the enrichment types this enricher supports + GetSupportedTypes() []EnrichmentType +} + +// ContextEnricher enriches data with contextual information +type ContextEnricher struct { + knowledgeBase map[string]interface{} +} + +// NewContextEnricher creates a new context enricher +func NewContextEnricher() *ContextEnricher { + return &ContextEnricher{ + knowledgeBase: make(map[string]interface{}), + } +} + +// Enrich implements the Enricher interface for context enrichment +func (ce *ContextEnricher) Enrich(ctx context.Context, req *EnrichmentRequest) (*EnrichmentResult, error) { + if req == nil { + return nil, fmt.Errorf("enrichment request cannot be nil") + } + + result := &EnrichmentResult{ + OriginalData: req.Data, + Type: req.Type, + Timestamp: time.Now(), + Additions: make(map[string]interface{}), + Metadata: make(map[string]interface{}), + } + + switch req.Type { + case ContextEnrichment: + enriched, additions := ce.enrichContext(req.Data, req.Context) + result.EnrichedData = enriched + result.Additions = additions + + case TemporalEnrichment: + enriched, additions := ce.enrichTemporal(req.Data, req.Context) + result.EnrichedData = enriched + result.Additions = additions + + case PersonalityEnrichment: + enriched, additions := ce.enrichPersonality(req.Data, req.Context) + result.EnrichedData = enriched + result.Additions = additions + + case BackgroundEnrichment: + enriched, additions := ce.enrichBackground(req.Data, req.Context) + result.EnrichedData = enriched + result.Additions = additions + + default: + result.EnrichedData = req.Data + } + + if req.AgentID != "" { + result.Metadata["agent_id"] = req.AgentID + } + + return result, nil +} + +// GetSupportedTypes returns the enrichment types this enricher supports +func (ce *ContextEnricher) GetSupportedTypes() []EnrichmentType { + return []EnrichmentType{ + ContextEnrichment, + TemporalEnrichment, + PersonalityEnrichment, + BackgroundEnrichment, + } +} + +// enrichContext adds contextual information to data +func (ce *ContextEnricher) enrichContext(data interface{}, context map[string]interface{}) (interface{}, map[string]interface{}) { + additions := make(map[string]interface{}) + + // If data is a string (like a conversation message), enhance it with context + if text, ok := data.(string); ok { + enriched := text + + // Add location context if available + if location, exists := context["location"]; exists { + additions["inferred_location"] = location + enriched = fmt.Sprintf("[Location: %v] %s", location, enriched) + } + + // Add time context if available + if timeCtx, exists := context["time"]; exists { + additions["inferred_time"] = timeCtx + } + + // Add emotional context if detectable + if emotions := ce.detectEmotions(text); emotions != nil { + additions["detected_emotions"] = emotions + } + + return enriched, additions + } + + return data, additions +} + +// enrichTemporal adds temporal context and references +func (ce *ContextEnricher) enrichTemporal(data interface{}, context map[string]interface{}) (interface{}, map[string]interface{}) { + additions := make(map[string]interface{}) + + // Add timestamp information + additions["enrichment_timestamp"] = time.Now() + + // Add day/time context + now := time.Now() + additions["time_of_day"] = getTimeOfDay(now) + additions["day_of_week"] = now.Weekday().String() + + if text, ok := data.(string); ok { + // Add temporal references if context suggests it + enriched := text + timeOfDay := getTimeOfDay(now) + + if strings.Contains(strings.ToLower(text), "morning") && timeOfDay != "morning" { + additions["temporal_mismatch"] = "mentioned morning but it's " + timeOfDay + } + + return enriched, additions + } + + return data, additions +} + +// enrichPersonality adds personality-based context and insights +func (ce *ContextEnricher) enrichPersonality(data interface{}, context map[string]interface{}) (interface{}, map[string]interface{}) { + additions := make(map[string]interface{}) + + if text, ok := data.(string); ok { + // Analyze personality indicators in text + indicators := ce.analyzePersonalityIndicators(text) + if len(indicators) > 0 { + additions["personality_indicators"] = indicators + } + + // Add communication style analysis + style := ce.analyzeCommunicationStyle(text) + if style != "" { + additions["communication_style"] = style + } + + return text, additions + } + + return data, additions +} + +// enrichBackground adds background knowledge and context +func (ce *ContextEnricher) enrichBackground(data interface{}, context map[string]interface{}) (interface{}, map[string]interface{}) { + additions := make(map[string]interface{}) + + if text, ok := data.(string); ok { + // Detect topics and add background context + topics := ce.detectTopics(text) + if len(topics) > 0 { + additions["detected_topics"] = topics + + // Add background information for detected topics + background := make(map[string]interface{}) + for _, topic := range topics { + if info := ce.getBackgroundInfo(topic); info != "" { + background[topic] = info + } + } + if len(background) > 0 { + additions["background_info"] = background + } + } + + return text, additions + } + + return data, additions +} + +// Helper functions for enrichment + +func (ce *ContextEnricher) detectEmotions(text string) []string { + emotions := []string{} + lower := strings.ToLower(text) + + // Simple emotion detection based on keywords + if strings.Contains(lower, "happy") || strings.Contains(lower, "joy") || strings.Contains(lower, "excited") { + emotions = append(emotions, "positive") + } + if strings.Contains(lower, "sad") || strings.Contains(lower, "upset") || strings.Contains(lower, "disappointed") { + emotions = append(emotions, "negative") + } + if strings.Contains(lower, "curious") || strings.Contains(lower, "interesting") || strings.Contains(lower, "wonder") { + emotions = append(emotions, "curious") + } + + return emotions +} + +func getTimeOfDay(t time.Time) string { + hour := t.Hour() + switch { + case hour >= 5 && hour < 12: + return "morning" + case hour >= 12 && hour < 17: + return "afternoon" + case hour >= 17 && hour < 21: + return "evening" + default: + return "night" + } +} + +func (ce *ContextEnricher) analyzePersonalityIndicators(text string) []string { + indicators := []string{} + lower := strings.ToLower(text) + + // Simple personality trait detection + if strings.Contains(lower, "i think") || strings.Contains(lower, "analysis") || strings.Contains(lower, "data") { + indicators = append(indicators, "analytical") + } + if strings.Contains(lower, "team") || strings.Contains(lower, "together") || strings.Contains(lower, "collaboration") { + indicators = append(indicators, "collaborative") + } + if strings.Contains(lower, "new") || strings.Contains(lower, "innovative") || strings.Contains(lower, "creative") { + indicators = append(indicators, "creative") + } + + return indicators +} + +func (ce *ContextEnricher) analyzeCommunicationStyle(text string) string { + if len(text) < 20 { + return "concise" + } + if strings.Count(text, "!") >= 1 { + return "enthusiastic" + } + if strings.Count(text, "?") > 1 { + return "inquisitive" + } + if len(text) > 200 { + return "detailed" + } + return "balanced" +} + +func (ce *ContextEnricher) detectTopics(text string) []string { + topics := []string{} + lower := strings.ToLower(text) + + // Simple topic detection + if strings.Contains(lower, "technology") || strings.Contains(lower, "software") || strings.Contains(lower, "programming") { + topics = append(topics, "technology") + } + if strings.Contains(lower, "architecture") || strings.Contains(lower, "design") || strings.Contains(lower, "building") { + topics = append(topics, "architecture") + } + if strings.Contains(lower, "music") || strings.Contains(lower, "piano") || strings.Contains(lower, "guitar") { + topics = append(topics, "music") + } + if strings.Contains(lower, "travel") || strings.Contains(lower, "places") || strings.Contains(lower, "journey") { + topics = append(topics, "travel") + } + + return topics +} + +func (ce *ContextEnricher) getBackgroundInfo(topic string) string { + // Simple background knowledge base + backgrounds := map[string]string{ + "technology": "Technology encompasses software, hardware, and digital innovation", + "architecture": "Architecture involves designing and planning buildings and spaces", + "music": "Music is an art form involving organized sound and rhythm", + "travel": "Travel involves moving between different locations for various purposes", + } + + return backgrounds[topic] +} + +// AddKnowledge allows adding knowledge to the enricher's knowledge base +func (ce *ContextEnricher) AddKnowledge(key string, value interface{}) { + ce.knowledgeBase[key] = value +} + +// GetKnowledge retrieves knowledge from the enricher's knowledge base +func (ce *ContextEnricher) GetKnowledge(key string) (interface{}, bool) { + value, exists := ce.knowledgeBase[key] + return value, exists +} diff --git a/go/pkg/enrichment/enrichment_test.go b/go/pkg/enrichment/enrichment_test.go new file mode 100644 index 0000000..756246f --- /dev/null +++ b/go/pkg/enrichment/enrichment_test.go @@ -0,0 +1,438 @@ +package enrichment + +import ( + "context" + "testing" + "time" +) + +func TestContextEnricherCreation(t *testing.T) { + enricher := NewContextEnricher() + if enricher == nil { + t.Fatal("NewContextEnricher returned nil") + } + + supportedTypes := enricher.GetSupportedTypes() + if len(supportedTypes) != 4 { + t.Errorf("Expected 4 supported types, got %d", len(supportedTypes)) + } + + expectedTypes := []EnrichmentType{ + ContextEnrichment, + TemporalEnrichment, + PersonalityEnrichment, + BackgroundEnrichment, + } + + for _, expectedType := range expectedTypes { + found := false + for _, supportedType := range supportedTypes { + if supportedType == expectedType { + found = true + break + } + } + if !found { + t.Errorf("Expected type %s not found in supported types", expectedType) + } + } +} + +func TestEnrichmentRequestValidation(t *testing.T) { + enricher := NewContextEnricher() + ctx := context.Background() + + // Test nil request + result, err := enricher.Enrich(ctx, nil) + if err == nil { + t.Error("Expected error for nil request") + } + if result != nil { + t.Error("Expected nil result for nil request") + } +} + +func TestContextEnrichment(t *testing.T) { + enricher := NewContextEnricher() + ctx := context.Background() + + req := &EnrichmentRequest{ + Type: ContextEnrichment, + Data: "Hello, how are you doing today?", + Context: map[string]interface{}{ + "location": "San Francisco", + "time": "morning", + }, + AgentID: "test-agent", + } + + result, err := enricher.Enrich(ctx, req) + if err != nil { + t.Fatalf("Enrichment failed: %v", err) + } + + if result == nil { + t.Fatal("Result is nil") + } + + // Check basic result properties + if result.Type != ContextEnrichment { + t.Errorf("Expected type %s, got %s", ContextEnrichment, result.Type) + } + + if result.OriginalData != req.Data { + t.Error("Original data doesn't match input") + } + + // Check that enriched data contains location context + enrichedText, ok := result.EnrichedData.(string) + if !ok { + t.Fatal("Enriched data is not a string") + } + + if !contains(enrichedText, "San Francisco") { + t.Error("Enriched text doesn't contain location context") + } + + // Check additions + if result.Additions["inferred_location"] != "San Francisco" { + t.Error("Location not added to additions") + } + + if result.Additions["inferred_time"] != "morning" { + t.Error("Time not added to additions") + } + + // Check metadata + if result.Metadata["agent_id"] != "test-agent" { + t.Error("Agent ID not added to metadata") + } +} + +func TestTemporalEnrichment(t *testing.T) { + enricher := NewContextEnricher() + ctx := context.Background() + + req := &EnrichmentRequest{ + Type: TemporalEnrichment, + Data: "Good morning everyone!", + Context: map[string]interface{}{}, + } + + result, err := enricher.Enrich(ctx, req) + if err != nil { + t.Fatalf("Temporal enrichment failed: %v", err) + } + + // Check that temporal information was added + if result.Additions["enrichment_timestamp"] == nil { + t.Error("Enrichment timestamp not added") + } + + if result.Additions["time_of_day"] == nil { + t.Error("Time of day not added") + } + + if result.Additions["day_of_week"] == nil { + t.Error("Day of week not added") + } + + // Verify timestamp is recent + timestamp, ok := result.Additions["enrichment_timestamp"].(time.Time) + if !ok { + t.Error("Enrichment timestamp is not a time.Time") + } else if time.Since(timestamp) > time.Minute { + t.Error("Enrichment timestamp is not recent") + } +} + +func TestPersonalityEnrichment(t *testing.T) { + enricher := NewContextEnricher() + ctx := context.Background() + + testCases := []struct { + text string + expectedIndicators []string + expectedStyle string + }{ + { + text: "I think the data analysis shows interesting patterns", + expectedIndicators: []string{"analytical"}, + expectedStyle: "balanced", + }, + { + text: "Let's work together as a team on this creative project!", + expectedIndicators: []string{"collaborative", "creative"}, + expectedStyle: "enthusiastic", + }, + { + text: "Ok", + expectedIndicators: nil, + expectedStyle: "concise", + }, + } + + for _, tc := range testCases { + req := &EnrichmentRequest{ + Type: PersonalityEnrichment, + Data: tc.text, + Context: map[string]interface{}{}, + } + + result, err := enricher.Enrich(ctx, req) + if err != nil { + t.Fatalf("Personality enrichment failed for '%s': %v", tc.text, err) + } + + // Check communication style + if style, exists := result.Additions["communication_style"]; exists { + if style != tc.expectedStyle { + t.Errorf("For text '%s', expected style '%s', got '%s'", tc.text, tc.expectedStyle, style) + } + } + + // Check personality indicators + if tc.expectedIndicators != nil { + indicators, exists := result.Additions["personality_indicators"] + if !exists { + t.Errorf("For text '%s', expected personality indicators but none found", tc.text) + } else { + indicatorList, ok := indicators.([]string) + if !ok { + t.Errorf("Personality indicators is not a string slice") + } else { + for _, expected := range tc.expectedIndicators { + found := false + for _, actual := range indicatorList { + if actual == expected { + found = true + break + } + } + if !found { + t.Errorf("For text '%s', expected indicator '%s' not found", tc.text, expected) + } + } + } + } + } + } +} + +func TestBackgroundEnrichment(t *testing.T) { + enricher := NewContextEnricher() + ctx := context.Background() + + req := &EnrichmentRequest{ + Type: BackgroundEnrichment, + Data: "I love programming and software technology, and I also enjoy playing music", + Context: map[string]interface{}{}, + } + + result, err := enricher.Enrich(ctx, req) + if err != nil { + t.Fatalf("Background enrichment failed: %v", err) + } + + // Check that topics were detected + topics, exists := result.Additions["detected_topics"] + if !exists { + t.Error("No topics detected") + } else { + topicList, ok := topics.([]string) + if !ok { + t.Error("Topics is not a string slice") + } else { + expectedTopics := []string{"technology", "music"} + for _, expected := range expectedTopics { + found := false + for _, actual := range topicList { + if actual == expected { + found = true + break + } + } + if !found { + t.Errorf("Expected topic '%s' not found", expected) + } + } + } + } + + // Check that background information was added + backgroundInfo, exists := result.Additions["background_info"] + if !exists { + t.Error("No background information added") + } else { + infoMap, ok := backgroundInfo.(map[string]interface{}) + if !ok { + t.Error("Background info is not a map") + } else { + if _, exists := infoMap["technology"]; !exists { + t.Error("Technology background info not found") + } + if _, exists := infoMap["music"]; !exists { + t.Error("Music background info not found") + } + } + } +} + +func TestEmotionDetection(t *testing.T) { + enricher := NewContextEnricher() + + testCases := []struct { + text string + expectedEmotions []string + }{ + { + text: "I'm so happy and excited about this!", + expectedEmotions: []string{"positive"}, + }, + { + text: "I'm sad and disappointed about the results", + expectedEmotions: []string{"negative"}, + }, + { + text: "I'm curious about this interesting phenomenon", + expectedEmotions: []string{"curious"}, + }, + { + text: "I'm happy but curious about this interesting development", + expectedEmotions: []string{"positive", "curious"}, + }, + { + text: "This is a neutral statement", + expectedEmotions: []string{}, + }, + } + + for _, tc := range testCases { + emotions := enricher.detectEmotions(tc.text) + + if len(emotions) != len(tc.expectedEmotions) { + t.Errorf("For text '%s', expected %d emotions, got %d", tc.text, len(tc.expectedEmotions), len(emotions)) + continue + } + + for _, expected := range tc.expectedEmotions { + found := false + for _, actual := range emotions { + if actual == expected { + found = true + break + } + } + if !found { + t.Errorf("For text '%s', expected emotion '%s' not found", tc.text, expected) + } + } + } +} + +func TestTimeOfDay(t *testing.T) { + testCases := []struct { + hour int + expected string + }{ + {hour: 6, expected: "morning"}, + {hour: 10, expected: "morning"}, + {hour: 12, expected: "afternoon"}, + {hour: 15, expected: "afternoon"}, + {hour: 18, expected: "evening"}, + {hour: 20, expected: "evening"}, + {hour: 23, expected: "night"}, + {hour: 2, expected: "night"}, + } + + for _, tc := range testCases { + // Create a time with the specific hour + testTime := time.Date(2023, 1, 1, tc.hour, 0, 0, 0, time.UTC) + result := getTimeOfDay(testTime) + + if result != tc.expected { + t.Errorf("For hour %d, expected '%s', got '%s'", tc.hour, tc.expected, result) + } + } +} + +func TestKnowledgeManagement(t *testing.T) { + enricher := NewContextEnricher() + + // Test adding knowledge + enricher.AddKnowledge("test_key", "test_value") + enricher.AddKnowledge("complex_key", map[string]interface{}{ + "nested": "value", + "number": 42, + }) + + // Test retrieving knowledge + value, exists := enricher.GetKnowledge("test_key") + if !exists { + t.Error("Knowledge not found after adding") + } + if value != "test_value" { + t.Errorf("Expected 'test_value', got '%v'", value) + } + + // Test complex knowledge + complexValue, exists := enricher.GetKnowledge("complex_key") + if !exists { + t.Error("Complex knowledge not found after adding") + } + + complexMap, ok := complexValue.(map[string]interface{}) + if !ok { + t.Error("Complex value is not a map") + } else { + if complexMap["nested"] != "value" { + t.Error("Nested value not preserved") + } + if complexMap["number"] != 42 { + t.Error("Number value not preserved") + } + } + + // Test non-existent knowledge + _, exists = enricher.GetKnowledge("non_existent") + if exists { + t.Error("Non-existent knowledge reported as existing") + } +} + +func TestUnsupportedEnrichmentType(t *testing.T) { + enricher := NewContextEnricher() + ctx := context.Background() + + req := &EnrichmentRequest{ + Type: "unsupported_type", + Data: "test data", + Context: map[string]interface{}{}, + } + + result, err := enricher.Enrich(ctx, req) + if err != nil { + t.Fatalf("Enrichment should not fail for unsupported type: %v", err) + } + + // Should return original data unchanged + if result.EnrichedData != req.Data { + t.Error("Unsupported enrichment type should return original data") + } +} + +// Helper function to check if a string contains a substring +func contains(s, substr string) bool { + return len(s) >= len(substr) && (s == substr || len(substr) == 0 || + (len(s) > len(substr) && (s[:len(substr)] == substr || s[len(s)-len(substr):] == substr || + containsMiddle(s, substr)))) +} + +func containsMiddle(s, substr string) bool { + for i := 1; i <= len(s)-len(substr); i++ { + if s[i:i+len(substr)] == substr { + return true + } + } + return false +} diff --git a/go/pkg/environment/tiny_world.go b/go/pkg/environment/tiny_world.go new file mode 100644 index 0000000..489b64e --- /dev/null +++ b/go/pkg/environment/tiny_world.go @@ -0,0 +1,341 @@ +package environment + +import ( + "context" + "encoding/json" + "fmt" + "log" + "math/rand" + "sync" + "time" + + "github.com/microsoft/TinyTroupe/go/pkg/agent" + "github.com/microsoft/TinyTroupe/go/pkg/config" +) + +// TinyWorld represents a simulation environment where agents interact +type TinyWorld struct { + Name string + Agents []*agent.TinyPerson + nameToAgent map[string]*agent.TinyPerson + CurrentDateTime *time.Time + config *config.Config + mutex sync.RWMutex +} + +// NewTinyWorld creates a new simulation environment +func NewTinyWorld(name string, cfg *config.Config, agents ...*agent.TinyPerson) *TinyWorld { + now := time.Now() + world := &TinyWorld{ + Name: name, + Agents: make([]*agent.TinyPerson, 0), + nameToAgent: make(map[string]*agent.TinyPerson), + CurrentDateTime: &now, + config: cfg, + } + + world.AddAgents(agents...) + return world +} + +// GetName returns the environment name (implements agent.Environment interface) +func (tw *TinyWorld) GetName() string { + return tw.Name +} + +// GetCurrentDateTime returns current simulation time (implements agent.Environment interface) +func (tw *TinyWorld) GetCurrentDateTime() *time.Time { + return tw.CurrentDateTime +} + +// AddAgent adds an agent to the environment +func (tw *TinyWorld) AddAgent(ag *agent.TinyPerson) error { + tw.mutex.Lock() + defer tw.mutex.Unlock() + + // Check if agent name is unique + if _, exists := tw.nameToAgent[ag.Name]; exists { + return fmt.Errorf("agent name %s already exists in environment", ag.Name) + } + + tw.Agents = append(tw.Agents, ag) + tw.nameToAgent[ag.Name] = ag + ag.SetEnvironment(tw) + + log.Printf("[%s] Added agent: %s", tw.Name, ag.Name) + return nil +} + +// AddAgents adds multiple agents to the environment +func (tw *TinyWorld) AddAgents(agents ...*agent.TinyPerson) error { + for _, ag := range agents { + if err := tw.AddAgent(ag); err != nil { + return err + } + } + return nil +} + +// RemoveAgent removes an agent from the environment +func (tw *TinyWorld) RemoveAgent(agentName string) error { + tw.mutex.Lock() + defer tw.mutex.Unlock() + + for i, ag := range tw.Agents { + if ag.Name == agentName { + tw.Agents = append(tw.Agents[:i], tw.Agents[i+1:]...) + delete(tw.nameToAgent, agentName) + ag.SetEnvironment(nil) + log.Printf("[%s] Removed agent: %s", tw.Name, agentName) + return nil + } + } + + return fmt.Errorf("agent %s not found in environment", agentName) +} + +// GetAgentByName returns an agent by name +func (tw *TinyWorld) GetAgentByName(name string) *agent.TinyPerson { + tw.mutex.RLock() + defer tw.mutex.RUnlock() + + return tw.nameToAgent[name] +} + +// MakeEveryoneAccessible makes all agents accessible to each other +func (tw *TinyWorld) MakeEveryoneAccessible() { + tw.mutex.RLock() + defer tw.mutex.RUnlock() + + for _, agent1 := range tw.Agents { + for _, agent2 := range tw.Agents { + if agent1.Name != agent2.Name { + agent1.MakeAgentAccessible(agent2) + } + } + } + + log.Printf("[%s] Made all agents accessible to each other", tw.Name) +} + +// Broadcast sends a message to all agents in the environment +func (tw *TinyWorld) Broadcast(message string, source *agent.TinyPerson) error { + tw.mutex.RLock() + defer tw.mutex.RUnlock() + + log.Printf("[%s] Broadcasting: %s", tw.Name, message) + + for _, ag := range tw.Agents { + if ag != source { // Don't send to the source + if err := ag.Listen(message, source); err != nil { + log.Printf("[%s] Failed to deliver broadcast to %s: %v", tw.Name, ag.Name, err) + } + } + } + + return nil +} + +// HandleAction processes actions from agents (implements agent.Environment interface) +func (tw *TinyWorld) HandleAction(source *agent.TinyPerson, action agent.Action) error { + switch action.Type { + case "TALK": + return tw.handleTalk(source, action) + case "REACH_OUT": + return tw.handleReachOut(source, action) + default: + // Other actions don't need environment intervention + return nil + } +} + +// contentToString converts action content to string for communication +func contentToString(content interface{}) string { + switch v := content.(type) { + case string: + return v + case map[string]interface{}, []interface{}: + // Convert complex content to JSON string + if jsonBytes, err := json.Marshal(v); err == nil { + return string(jsonBytes) + } + return fmt.Sprintf("%v", v) + default: + return fmt.Sprintf("%v", v) + } +} + +// handleTalk processes TALK actions +func (tw *TinyWorld) handleTalk(source *agent.TinyPerson, action agent.Action) error { + contentStr := contentToString(action.Content) + + if action.Target == "" { + // Broadcast if no target specified + return tw.Broadcast(contentStr, source) + } + + target := tw.GetAgentByName(action.Target) + if target == nil { + log.Printf("[%s] Talk target %s not found, broadcasting instead", tw.Name, action.Target) + return tw.Broadcast(contentStr, source) + } + + log.Printf("[%s] %s -> %s: %s", tw.Name, source.Name, target.Name, contentStr) + return target.Listen(contentStr, source) +} + +// handleReachOut processes REACH_OUT actions +func (tw *TinyWorld) handleReachOut(source *agent.TinyPerson, action agent.Action) error { + target := tw.GetAgentByName(action.Target) + if target == nil { + return fmt.Errorf("reach out target %s not found", action.Target) + } + + // Make agents accessible to each other + source.MakeAgentAccessible(target) + target.MakeAgentAccessible(source) + + // Notify both agents + successMsg := fmt.Sprintf("%s was successfully reached out, and is now available for interaction.", target.Name) + if err := source.Listen(successMsg, nil); err != nil { + log.Printf("[%s] Failed to notify source of successful reach out: %v", tw.Name, err) + } + + reachedMsg := fmt.Sprintf("%s reached out to you, and is now available for interaction.", source.Name) + if err := target.Listen(reachedMsg, nil); err != nil { + log.Printf("[%s] Failed to notify target of reach out: %v", tw.Name, err) + } + + log.Printf("[%s] %s reached out to %s", tw.Name, source.Name, target.Name) + return nil +} + +// Step runs one simulation step +func (tw *TinyWorld) Step(ctx context.Context, timeDelta *time.Duration) error { + // Advance time if specified + if timeDelta != nil { + tw.mutex.Lock() + *tw.CurrentDateTime = tw.CurrentDateTime.Add(*timeDelta) + tw.mutex.Unlock() + log.Printf("[%s] Advanced time to %s", tw.Name, tw.CurrentDateTime.Format(time.RFC3339)) + } + + if tw.config.ParallelAgentActions { + return tw.stepParallel(ctx) + } + return tw.stepSequential(ctx) +} + +// stepSequential runs agents sequentially +func (tw *TinyWorld) stepSequential(ctx context.Context) error { + tw.mutex.RLock() + agents := make([]*agent.TinyPerson, len(tw.Agents)) + copy(agents, tw.Agents) + tw.mutex.RUnlock() + + // Randomize order for fairness + rand.Shuffle(len(agents), func(i, j int) { + agents[i], agents[j] = agents[j], agents[i] + }) + + for _, ag := range agents { + log.Printf("[%s] Agent %s is acting", tw.Name, ag.Name) + + actions, err := ag.Act(ctx) + if err != nil { + log.Printf("[%s] Agent %s failed to act: %v", tw.Name, ag.Name, err) + continue + } + + // Handle actions + for _, action := range actions { + if err := tw.HandleAction(ag, action); err != nil { + log.Printf("[%s] Failed to handle action from %s: %v", tw.Name, ag.Name, err) + } + } + + // Clear agent's action buffer + ag.PopLatestActions() + } + + return nil +} + +// stepParallel runs agents in parallel +func (tw *TinyWorld) stepParallel(ctx context.Context) error { + tw.mutex.RLock() + agents := make([]*agent.TinyPerson, len(tw.Agents)) + copy(agents, tw.Agents) + tw.mutex.RUnlock() + + var wg sync.WaitGroup + actionsChan := make(chan struct { + agent *agent.TinyPerson + actions []agent.Action + err error + }, len(agents)) + + // Run all agents in parallel + for _, ag := range agents { + wg.Add(1) + go func(ag *agent.TinyPerson) { + defer wg.Done() + + log.Printf("[%s] Agent %s is acting (parallel)", tw.Name, ag.Name) + actions, err := ag.Act(ctx) + + actionsChan <- struct { + agent *agent.TinyPerson + actions []agent.Action + err error + }{ag, actions, err} + }(ag) + } + + // Wait for all agents to complete + go func() { + wg.Wait() + close(actionsChan) + }() + + // Process all actions + for result := range actionsChan { + if result.err != nil { + log.Printf("[%s] Agent %s failed to act: %v", tw.Name, result.agent.Name, result.err) + continue + } + + // Handle actions + for _, action := range result.actions { + if err := tw.HandleAction(result.agent, action); err != nil { + log.Printf("[%s] Failed to handle action from %s: %v", tw.Name, result.agent.Name, err) + } + } + + // Clear agent's action buffer + result.agent.PopLatestActions() + } + + return nil +} + +// Run executes multiple simulation steps +func (tw *TinyWorld) Run(ctx context.Context, steps int, timeDelta *time.Duration) error { + for i := 0; i < steps; i++ { + log.Printf("[%s] Running step %d of %d", tw.Name, i+1, steps) + + if err := tw.Step(ctx, timeDelta); err != nil { + return fmt.Errorf("step %d failed: %w", i+1, err) + } + + // Check if context was cancelled + select { + case <-ctx.Done(): + return ctx.Err() + default: + } + } + + log.Printf("[%s] Completed %d steps", tw.Name, steps) + return nil +} diff --git a/go/pkg/environment/tiny_world_test.go b/go/pkg/environment/tiny_world_test.go new file mode 100644 index 0000000..146431d --- /dev/null +++ b/go/pkg/environment/tiny_world_test.go @@ -0,0 +1,288 @@ +package environment + +import ( + "context" + "testing" + "time" + + "github.com/microsoft/TinyTroupe/go/pkg/agent" + "github.com/microsoft/TinyTroupe/go/pkg/config" +) + +func TestTinyWorldCreation(t *testing.T) { + cfg := config.DefaultConfig() + world := NewTinyWorld("TestWorld", cfg) + + if world.Name != "TestWorld" { + t.Errorf("Expected world name 'TestWorld', got '%s'", world.Name) + } + + if len(world.Agents) != 0 { + t.Errorf("Expected empty world initially, got %d agents", len(world.Agents)) + } + + if world.CurrentDateTime == nil { + t.Errorf("Expected current datetime to be set") + } +} + +func TestTinyWorldWithAgents(t *testing.T) { + cfg := config.DefaultConfig() + alice := agent.NewTinyPerson("Alice", cfg) + bob := agent.NewTinyPerson("Bob", cfg) + + world := NewTinyWorld("TestWorld", cfg, alice, bob) + + if len(world.Agents) != 2 { + t.Errorf("Expected 2 agents, got %d", len(world.Agents)) + } + + if world.GetAgentByName("Alice") != alice { + t.Errorf("Expected to find Alice in world") + } + + if world.GetAgentByName("Bob") != bob { + t.Errorf("Expected to find Bob in world") + } + + if world.GetAgentByName("Charlie") != nil { + t.Errorf("Expected Charlie not to be found") + } +} + +func TestAddRemoveAgents(t *testing.T) { + cfg := config.DefaultConfig() + world := NewTinyWorld("TestWorld", cfg) + alice := agent.NewTinyPerson("Alice", cfg) + bob := agent.NewTinyPerson("Bob", cfg) + + // Add agents + err := world.AddAgent(alice) + if err != nil { + t.Errorf("Failed to add Alice: %v", err) + } + + err = world.AddAgent(bob) + if err != nil { + t.Errorf("Failed to add Bob: %v", err) + } + + if len(world.Agents) != 2 { + t.Errorf("Expected 2 agents after adding, got %d", len(world.Agents)) + } + + // Try to add duplicate agent (should fail) + duplicate := agent.NewTinyPerson("Alice", cfg) + err = world.AddAgent(duplicate) + if err == nil { + t.Errorf("Expected error when adding duplicate agent name") + } + + // Remove agent + err = world.RemoveAgent("Alice") + if err != nil { + t.Errorf("Failed to remove Alice: %v", err) + } + + if len(world.Agents) != 1 { + t.Errorf("Expected 1 agent after removal, got %d", len(world.Agents)) + } + + if world.GetAgentByName("Alice") != nil { + t.Errorf("Expected Alice to be removed from world") + } + + // Try to remove non-existent agent + err = world.RemoveAgent("Charlie") + if err == nil { + t.Errorf("Expected error when removing non-existent agent") + } +} + +func TestMakeEveryoneAccessible(t *testing.T) { + cfg := config.DefaultConfig() + alice := agent.NewTinyPerson("Alice", cfg) + bob := agent.NewTinyPerson("Bob", cfg) + charlie := agent.NewTinyPerson("Charlie", cfg) + + world := NewTinyWorld("TestWorld", cfg, alice, bob, charlie) + world.MakeEveryoneAccessible() + + // Check that each agent can access the others + if len(alice.AccessibleAgents) != 2 { + t.Errorf("Expected Alice to have 2 accessible agents, got %d", len(alice.AccessibleAgents)) + } + + if len(bob.AccessibleAgents) != 2 { + t.Errorf("Expected Bob to have 2 accessible agents, got %d", len(bob.AccessibleAgents)) + } + + if len(charlie.AccessibleAgents) != 2 { + t.Errorf("Expected Charlie to have 2 accessible agents, got %d", len(charlie.AccessibleAgents)) + } + + // Check that agents don't have themselves as accessible + for _, accessibleAgent := range alice.AccessibleAgents { + if accessibleAgent.Name == "Alice" { + t.Errorf("Alice should not have herself as accessible") + } + } +} + +func TestBroadcast(t *testing.T) { + cfg := config.DefaultConfig() + alice := agent.NewTinyPerson("Alice", cfg) + bob := agent.NewTinyPerson("Bob", cfg) + charlie := agent.NewTinyPerson("Charlie", cfg) + + world := NewTinyWorld("TestWorld", cfg, alice, bob, charlie) + + // Broadcast message from Alice + err := world.Broadcast("Hello everyone!", alice) + if err != nil { + t.Errorf("Broadcast failed: %v", err) + } + + // Check that Bob and Charlie received the message, but not Alice + bobEpisode := bob.EpisodicMemory.GetCurrentEpisode() + if len(bobEpisode) != 1 { + t.Errorf("Expected Bob to have 1 memory item, got %d", len(bobEpisode)) + } + + charlieEpisode := charlie.EpisodicMemory.GetCurrentEpisode() + if len(charlieEpisode) != 1 { + t.Errorf("Expected Charlie to have 1 memory item, got %d", len(charlieEpisode)) + } + + aliceEpisode := alice.EpisodicMemory.GetCurrentEpisode() + if len(aliceEpisode) != 0 { + t.Errorf("Expected Alice to have 0 memory items (shouldn't receive own broadcast), got %d", len(aliceEpisode)) + } +} + +func TestHandleTalkAction(t *testing.T) { + cfg := config.DefaultConfig() + alice := agent.NewTinyPerson("Alice", cfg) + bob := agent.NewTinyPerson("Bob", cfg) + + world := NewTinyWorld("TestWorld", cfg, alice, bob) + + // Test direct talk action + talkAction := agent.Action{ + Type: "TALK", + Content: "Hi Bob!", + Target: "Bob", + } + + err := world.HandleAction(alice, talkAction) + if err != nil { + t.Errorf("HandleAction failed: %v", err) + } + + // Check that Bob received the message + bobEpisode := bob.EpisodicMemory.GetCurrentEpisode() + if len(bobEpisode) != 1 { + t.Errorf("Expected Bob to have 1 memory item, got %d", len(bobEpisode)) + } + + // Test talk action with non-existent target (should broadcast) + talkActionBroadcast := agent.Action{ + Type: "TALK", + Content: "Hello everyone!", + Target: "NonExistent", + } + + err = world.HandleAction(alice, talkActionBroadcast) + if err != nil { + t.Errorf("HandleAction with non-existent target failed: %v", err) + } + + // Bob should now have 2 memory items (direct message + broadcast) + bobEpisode = bob.EpisodicMemory.GetCurrentEpisode() + if len(bobEpisode) != 2 { + t.Errorf("Expected Bob to have 2 memory items after broadcast, got %d", len(bobEpisode)) + } +} + +func TestHandleReachOutAction(t *testing.T) { + cfg := config.DefaultConfig() + alice := agent.NewTinyPerson("Alice", cfg) + bob := agent.NewTinyPerson("Bob", cfg) + + world := NewTinyWorld("TestWorld", cfg, alice, bob) + + // Initially agents should not be accessible to each other + if len(alice.AccessibleAgents) != 0 { + t.Errorf("Expected Alice to have 0 accessible agents initially") + } + if len(bob.AccessibleAgents) != 0 { + t.Errorf("Expected Bob to have 0 accessible agents initially") + } + + // Test reach out action + reachOutAction := agent.Action{ + Type: "REACH_OUT", + Target: "Bob", + } + + err := world.HandleAction(alice, reachOutAction) + if err != nil { + t.Errorf("HandleAction REACH_OUT failed: %v", err) + } + + // Check that agents are now accessible to each other + if len(alice.AccessibleAgents) != 1 { + t.Errorf("Expected Alice to have 1 accessible agent after reach out, got %d", len(alice.AccessibleAgents)) + } + if alice.AccessibleAgents[0].Name != "Bob" { + t.Errorf("Expected Alice's accessible agent to be Bob") + } + + if len(bob.AccessibleAgents) != 1 { + t.Errorf("Expected Bob to have 1 accessible agent after reach out, got %d", len(bob.AccessibleAgents)) + } + if bob.AccessibleAgents[0].Name != "Alice" { + t.Errorf("Expected Bob's accessible agent to be Alice") + } + + // Check that both agents received notification messages + aliceEpisode := alice.EpisodicMemory.GetCurrentEpisode() + if len(aliceEpisode) != 1 { + t.Errorf("Expected Alice to have 1 memory item (success notification), got %d", len(aliceEpisode)) + } + + bobEpisode := bob.EpisodicMemory.GetCurrentEpisode() + if len(bobEpisode) != 1 { + t.Errorf("Expected Bob to have 1 memory item (reach out notification), got %d", len(bobEpisode)) + } +} + +func TestStepExecution(t *testing.T) { + cfg := config.DefaultConfig() + cfg.ParallelAgentActions = false // Use sequential for predictable testing + + alice := agent.NewTinyPerson("Alice", cfg) + bob := agent.NewTinyPerson("Bob", cfg) + + world := NewTinyWorld("TestWorld", cfg, alice, bob) + + // Add some initial stimulus to get agents to act + alice.Listen("Say hello to Bob", nil) + + ctx := context.Background() + timeDelta := 1 * time.Minute + + // Note: This test will fail without a real OpenAI API key + // But we can at least test the structure + err := world.Step(ctx, &timeDelta) + + // We expect this to fail due to missing API key, but the structure should be correct + if err != nil { + t.Logf("Step failed as expected (likely due to missing API key): %v", err) + } + + // Check that time was advanced + if world.CurrentDateTime == nil { + t.Errorf("Expected current datetime to be set") + } +} diff --git a/go/pkg/experimentation/experimentation.go b/go/pkg/experimentation/experimentation.go new file mode 100644 index 0000000..a174c10 --- /dev/null +++ b/go/pkg/experimentation/experimentation.go @@ -0,0 +1,416 @@ +// Package experimentation provides experimental features and A/B testing capabilities. +// This module handles A/B testing framework, hypothesis testing, and statistical analysis. +package experimentation + +import ( + "context" + "fmt" + "math" + "time" + + "github.com/microsoft/TinyTroupe/go/pkg/agent" +) + +// ExperimentType represents different types of experiments +type ExperimentType string + +const ( + ABTestExperiment ExperimentType = "ab_test" + MultiVariateExperiment ExperimentType = "multivariate" + HypothesisTestExperiment ExperimentType = "hypothesis_test" + BehavioralExperiment ExperimentType = "behavioral" +) + +// ExperimentConfig defines the configuration for an experiment +type ExperimentConfig struct { + Type ExperimentType `json:"type"` + Name string `json:"name"` + Description string `json:"description"` + Duration time.Duration `json:"duration"` + SampleSize int `json:"sample_size"` + Significance float64 `json:"significance"` // Alpha level (e.g., 0.05) + Variables map[string]interface{} `json:"variables"` + Metrics []string `json:"metrics"` + RandomSeed int64 `json:"random_seed,omitempty"` +} + +// ExperimentResult contains the results of an experiment +type ExperimentResult struct { + ExperimentID string `json:"experiment_id"` + Type ExperimentType `json:"type"` + StartTime time.Time `json:"start_time"` + EndTime time.Time `json:"end_time"` + Duration time.Duration `json:"duration"` + SampleSize int `json:"sample_size"` + Groups map[string]*GroupData `json:"groups"` + Analysis *StatisticalAnalysis `json:"analysis"` + Conclusion string `json:"conclusion"` + Significance bool `json:"significance"` + ConfidenceLevel float64 `json:"confidence_level"` + Metadata map[string]interface{} `json:"metadata,omitempty"` +} + +// GroupData represents data for a single experimental group +type GroupData struct { + Name string `json:"name"` + Size int `json:"size"` + Agents []*agent.TinyPerson `json:"-"` // Exclude from JSON + Metrics map[string][]float64 `json:"metrics"` + Summary map[string]float64 `json:"summary"` + Interventions map[string]interface{} `json:"interventions"` +} + +// StatisticalAnalysis contains statistical analysis results +type StatisticalAnalysis struct { + Method string `json:"method"` + PValue float64 `json:"p_value"` + TestStat float64 `json:"test_statistic"` + DegreesOfFreedom int `json:"degrees_of_freedom,omitempty"` + EffectSize float64 `json:"effect_size"` + PowerAnalysis map[string]float64 `json:"power_analysis"` + Recommendations []string `json:"recommendations"` +} + +// Experiment interface defines experimentation capabilities +type Experiment interface { + // Run executes the experiment + Run(ctx context.Context) (*ExperimentResult, error) + + // Analyze analyzes the experiment results + Analyze(result *ExperimentResult) (*StatisticalAnalysis, error) + + // GetConfig returns the experiment configuration + GetConfig() *ExperimentConfig +} + +// ExperimentRunner manages and executes experiments +type ExperimentRunner struct { + experiments map[string]Experiment + results map[string]*ExperimentResult +} + +// NewExperimentRunner creates a new experiment runner +func NewExperimentRunner() *ExperimentRunner { + return &ExperimentRunner{ + experiments: make(map[string]Experiment), + results: make(map[string]*ExperimentResult), + } +} + +// RegisterExperiment registers an experiment with the runner +func (er *ExperimentRunner) RegisterExperiment(id string, experiment Experiment) { + er.experiments[id] = experiment +} + +// RunExperiment executes an experiment by ID +func (er *ExperimentRunner) RunExperiment(ctx context.Context, id string) (*ExperimentResult, error) { + experiment, exists := er.experiments[id] + if !exists { + return nil, fmt.Errorf("experiment %s not found", id) + } + + result, err := experiment.Run(ctx) + if err != nil { + return nil, fmt.Errorf("failed to run experiment %s: %w", id, err) + } + + result.ExperimentID = id + er.results[id] = result + + return result, nil +} + +// GetResult retrieves a result by experiment ID +func (er *ExperimentRunner) GetResult(id string) (*ExperimentResult, bool) { + result, exists := er.results[id] + return result, exists +} + +// ABTestExperimentImpl implements A/B testing functionality +type ABTestExperimentImpl struct { + config *ExperimentConfig + controlGroup *GroupData + treatmentGroup *GroupData +} + +// NewABTestExperiment creates a new A/B test experiment +func NewABTestExperiment(config *ExperimentConfig) *ABTestExperimentImpl { + return &ABTestExperimentImpl{ + config: config, + controlGroup: &GroupData{ + Name: "control", + Metrics: make(map[string][]float64), + Summary: make(map[string]float64), + Interventions: make(map[string]interface{}), + }, + treatmentGroup: &GroupData{ + Name: "treatment", + Metrics: make(map[string][]float64), + Summary: make(map[string]float64), + Interventions: make(map[string]interface{}), + }, + } +} + +// GetConfig returns the experiment configuration +func (ab *ABTestExperimentImpl) GetConfig() *ExperimentConfig { + return ab.config +} + +// Run executes the A/B test experiment +func (ab *ABTestExperimentImpl) Run(ctx context.Context) (*ExperimentResult, error) { + startTime := time.Now() + + // Initialize groups with equal sample sizes + halfSize := ab.config.SampleSize / 2 + ab.controlGroup.Size = halfSize + ab.treatmentGroup.Size = ab.config.SampleSize - halfSize + + // Simulate experiment data collection + // In a real implementation, this would collect actual agent behavior data + err := ab.collectMetrics(ctx) + if err != nil { + return nil, fmt.Errorf("failed to collect metrics: %w", err) + } + + endTime := time.Now() + + result := &ExperimentResult{ + Type: ab.config.Type, + StartTime: startTime, + EndTime: endTime, + Duration: endTime.Sub(startTime), + SampleSize: ab.config.SampleSize, + Groups: map[string]*GroupData{ + "control": ab.controlGroup, + "treatment": ab.treatmentGroup, + }, + ConfidenceLevel: 1.0 - ab.config.Significance, + Metadata: make(map[string]interface{}), + } + + // Perform statistical analysis + analysis, err := ab.Analyze(result) + if err != nil { + return nil, fmt.Errorf("failed to analyze results: %w", err) + } + + result.Analysis = analysis + result.Significance = analysis.PValue < ab.config.Significance + result.Conclusion = ab.generateConclusion(analysis) + + return result, nil +} + +// collectMetrics simulates metric collection for the experiment +func (ab *ABTestExperimentImpl) collectMetrics(ctx context.Context) error { + // Generate synthetic data for demonstration + // In a real implementation, this would interface with the actual agent simulation + + for _, metric := range ab.config.Metrics { + // Control group baseline metrics + controlData := ab.generateSyntheticMetric(metric, ab.controlGroup.Size, false) + ab.controlGroup.Metrics[metric] = controlData + ab.controlGroup.Summary[metric+"_mean"] = mean(controlData) + ab.controlGroup.Summary[metric+"_std"] = stddev(controlData) + + // Treatment group metrics (with potential improvement) + treatmentData := ab.generateSyntheticMetric(metric, ab.treatmentGroup.Size, true) + ab.treatmentGroup.Metrics[metric] = treatmentData + ab.treatmentGroup.Summary[metric+"_mean"] = mean(treatmentData) + ab.treatmentGroup.Summary[metric+"_std"] = stddev(treatmentData) + } + + return nil +} + +// generateSyntheticMetric creates synthetic data for testing +func (ab *ABTestExperimentImpl) generateSyntheticMetric(metric string, size int, isTreatment bool) []float64 { + data := make([]float64, size) + + // Base parameters that vary by metric type + var baseMean, baseStd, treatmentEffect float64 + + switch metric { + case "engagement_score": + baseMean, baseStd, treatmentEffect = 0.7, 0.15, 0.1 + case "task_completion_rate": + baseMean, baseStd, treatmentEffect = 0.8, 0.12, 0.08 + case "response_time": + baseMean, baseStd, treatmentEffect = 2.5, 0.8, -0.3 // Lower is better + case "satisfaction_rating": + baseMean, baseStd, treatmentEffect = 4.2, 0.6, 0.4 + default: + baseMean, baseStd, treatmentEffect = 1.0, 0.2, 0.1 + } + + // Apply treatment effect + if isTreatment { + baseMean += treatmentEffect + } + + // Generate normally distributed data + for i := 0; i < size; i++ { + // Simple Box-Muller transform for normal distribution + u1 := math.Max(1e-10, float64(i+1)/float64(size+1)) + u2 := float64((i*7+13)%100) / 100.0 + + z := math.Sqrt(-2*math.Log(u1)) * math.Cos(2*math.Pi*u2) + data[i] = math.Max(0, baseMean+baseStd*z) + } + + return data +} + +// Analyze performs statistical analysis on the experiment results +func (ab *ABTestExperimentImpl) Analyze(result *ExperimentResult) (*StatisticalAnalysis, error) { + if len(result.Groups) != 2 { + return nil, fmt.Errorf("A/B test requires exactly 2 groups, got %d", len(result.Groups)) + } + + // Get control and treatment groups + control := result.Groups["control"] + treatment := result.Groups["treatment"] + + // Perform t-test on the primary metric (first metric) + if len(ab.config.Metrics) == 0 { + return nil, fmt.Errorf("no metrics specified for analysis") + } + + primaryMetric := ab.config.Metrics[0] + controlData := control.Metrics[primaryMetric] + treatmentData := treatment.Metrics[primaryMetric] + + // Welch's t-test for unequal variances + tStat, pValue, df := welchTTest(controlData, treatmentData) + + // Calculate effect size (Cohen's d) + effectSize := cohensD(controlData, treatmentData) + + // Power analysis + power := calculatePower(effectSize, float64(len(controlData)+len(treatmentData)), ab.config.Significance) + + analysis := &StatisticalAnalysis{ + Method: "Welch's t-test", + PValue: pValue, + TestStat: tStat, + DegreesOfFreedom: int(df), + EffectSize: effectSize, + PowerAnalysis: map[string]float64{ + "power": power, + "sample_size": float64(len(controlData) + len(treatmentData)), + "alpha": ab.config.Significance, + }, + Recommendations: ab.generateRecommendations(pValue, effectSize, power), + } + + return analysis, nil +} + +// generateConclusion creates a human-readable conclusion +func (ab *ABTestExperimentImpl) generateConclusion(analysis *StatisticalAnalysis) string { + if analysis.PValue < ab.config.Significance { + if analysis.EffectSize > 0 { + return fmt.Sprintf("The treatment group showed a statistically significant improvement (p=%.4f, d=%.3f). The treatment should be implemented.", + analysis.PValue, analysis.EffectSize) + } else { + return fmt.Sprintf("The treatment group showed a statistically significant decrease (p=%.4f, d=%.3f). The treatment should not be implemented.", + analysis.PValue, analysis.EffectSize) + } + } else { + return fmt.Sprintf("No statistically significant difference was found (p=%.4f). More data may be needed or the treatment may have no effect.", + analysis.PValue) + } +} + +// generateRecommendations creates actionable recommendations +func (ab *ABTestExperimentImpl) generateRecommendations(pValue, effectSize, power float64) []string { + var recommendations []string + + if pValue < ab.config.Significance { + if math.Abs(effectSize) > 0.8 { + recommendations = append(recommendations, "Large effect size detected - implement changes immediately") + } else if math.Abs(effectSize) > 0.5 { + recommendations = append(recommendations, "Medium effect size - consider gradual rollout") + } else { + recommendations = append(recommendations, "Small but significant effect - monitor closely during implementation") + } + } else { + recommendations = append(recommendations, "No significant effect found - consider alternative approaches") + } + + if power < 0.8 { + recommendations = append(recommendations, fmt.Sprintf("Statistical power is low (%.2f) - consider increasing sample size", power)) + } + + if pValue > 0.05 && pValue < 0.1 { + recommendations = append(recommendations, "Results are marginally significant - consider extending the experiment") + } + + return recommendations +} + +// Statistical helper functions + +func mean(data []float64) float64 { + sum := 0.0 + for _, v := range data { + sum += v + } + return sum / float64(len(data)) +} + +func stddev(data []float64) float64 { + m := mean(data) + sum := 0.0 + for _, v := range data { + sum += (v - m) * (v - m) + } + return math.Sqrt(sum / float64(len(data)-1)) +} + +func welchTTest(group1, group2 []float64) (tStat, pValue, df float64) { + mean1, mean2 := mean(group1), mean(group2) + std1, std2 := stddev(group1), stddev(group2) + n1, n2 := float64(len(group1)), float64(len(group2)) + + // Welch's t-test statistic + se := math.Sqrt((std1*std1)/n1 + (std2*std2)/n2) + tStat = (mean2 - mean1) / se + + // Welch-Satterthwaite degrees of freedom + df = math.Pow((std1*std1)/n1+(std2*std2)/n2, 2) / + (math.Pow((std1*std1)/n1, 2)/(n1-1) + math.Pow((std2*std2)/n2, 2)/(n2-1)) + + // Approximate p-value using t-distribution (simplified) + pValue = 2 * (1 - tCDF(math.Abs(tStat), df)) + + return tStat, pValue, df +} + +func cohensD(group1, group2 []float64) float64 { + mean1, mean2 := mean(group1), mean(group2) + std1, std2 := stddev(group1), stddev(group2) + n1, n2 := float64(len(group1)), float64(len(group2)) + + // Pooled standard deviation + pooledStd := math.Sqrt(((n1-1)*std1*std1 + (n2-1)*std2*std2) / (n1 + n2 - 2)) + + return (mean2 - mean1) / pooledStd +} + +// Simplified t-CDF approximation +func tCDF(t, df float64) float64 { + // Simplified approximation for demonstration + // In a real implementation, use a proper statistical library + x := t / math.Sqrt(df) + return 0.5 + 0.5*math.Tanh(x*1.5) +} + +// Simplified power calculation +func calculatePower(effectSize, sampleSize, alpha float64) float64 { + // Simplified power calculation for demonstration + // In a real implementation, use proper power analysis + beta := math.Exp(-0.5 * effectSize * effectSize * sampleSize / 8) + return math.Max(0, math.Min(1, 1-beta)) +} diff --git a/go/pkg/extraction/extraction.go b/go/pkg/extraction/extraction.go new file mode 100644 index 0000000..2d39e5f --- /dev/null +++ b/go/pkg/extraction/extraction.go @@ -0,0 +1,918 @@ +// Package extraction provides data extraction and processing capabilities. +// This module handles simulation data extraction, analytics, and reporting. +package extraction + +import ( + "context" + "fmt" + "regexp" + "sort" + "strconv" + "strings" + "time" +) + +// ExtractionType represents different types of extraction operations +type ExtractionType string + +const ( + ConversationExtraction ExtractionType = "conversation" + MetricsExtraction ExtractionType = "metrics" + PatternsExtraction ExtractionType = "patterns" + SummaryExtraction ExtractionType = "summary" + TimelineExtraction ExtractionType = "timeline" +) + +// ExtractionRequest represents a request to extract data +type ExtractionRequest struct { + Type ExtractionType `json:"type"` + Source interface{} `json:"source"` + Options map[string]interface{} `json:"options,omitempty"` + Filters map[string]interface{} `json:"filters,omitempty"` + Metadata map[string]interface{} `json:"metadata,omitempty"` +} + +// ExtractionResult represents the result of an extraction operation +type ExtractionResult struct { + Type ExtractionType `json:"type"` + Data interface{} `json:"data"` + Summary map[string]interface{} `json:"summary"` + Timestamp time.Time `json:"timestamp"` + Metadata map[string]interface{} `json:"metadata,omitempty"` +} + +// ConversationData represents extracted conversation data +type ConversationData struct { + Messages []MessageData `json:"messages"` + Participants []string `json:"participants"` + StartTime time.Time `json:"start_time"` + EndTime time.Time `json:"end_time"` + Topics []string `json:"topics"` + Emotions map[string][]string `json:"emotions"` + Statistics map[string]interface{} `json:"statistics"` +} + +// MessageData represents a single message in a conversation +type MessageData struct { + Speaker string `json:"speaker"` + Content string `json:"content"` + Timestamp time.Time `json:"timestamp"` + Type string `json:"type,omitempty"` + Metadata map[string]interface{} `json:"metadata,omitempty"` +} + +// MetricsData represents extracted metrics +type MetricsData struct { + AgentMetrics map[string]AgentMetric `json:"agent_metrics"` + InteractionCounts map[string]int `json:"interaction_counts"` + TimeSpentByAgent map[string]time.Duration `json:"time_spent_by_agent"` + TotalMessages int `json:"total_messages"` + TotalDuration time.Duration `json:"total_duration"` + PeakActivity time.Time `json:"peak_activity"` + Summary map[string]interface{} `json:"summary"` +} + +// AgentMetric represents metrics for a single agent +type AgentMetric struct { + MessageCount int `json:"message_count"` + WordCount int `json:"word_count"` + AverageLength float64 `json:"average_length"` + EmotionalTone map[string]int `json:"emotional_tone"` + ActivityPattern map[string]interface{} `json:"activity_pattern"` +} + +// Extractor interface defines extraction capabilities +type Extractor interface { + // Extract extracts data from the provided source + Extract(ctx context.Context, req *ExtractionRequest) (*ExtractionResult, error) + + // GetSupportedTypes returns the extraction types this extractor supports + GetSupportedTypes() []ExtractionType +} + +// SimulationExtractor extracts data from simulation logs and agent interactions +type SimulationExtractor struct { + patterns map[string]*regexp.Regexp +} + +// NewSimulationExtractor creates a new simulation data extractor +func NewSimulationExtractor() *SimulationExtractor { + patterns := map[string]*regexp.Regexp{ + "timestamp": regexp.MustCompile(`(\d{4}/\d{2}/\d{2} \d{2}:\d{2}:\d{2})`), + "agent_name": regexp.MustCompile(`\[([^\]]+)\]`), + "action": regexp.MustCompile(`(Listening to|Broadcasting|Added agent|Removed agent|Talk target)`), + "message": regexp.MustCompile(`Listening to: (.+)$`), + "broadcast": regexp.MustCompile(`Broadcasting: (.+)$`), + "talk": regexp.MustCompile(`([^:]+) -> ([^:]+): (.+)$`), + } + + return &SimulationExtractor{ + patterns: patterns, + } +} + +// Extract implements the Extractor interface +func (se *SimulationExtractor) Extract(ctx context.Context, req *ExtractionRequest) (*ExtractionResult, error) { + if req == nil { + return nil, fmt.Errorf("extraction request cannot be nil") + } + + result := &ExtractionResult{ + Type: req.Type, + Timestamp: time.Now(), + Summary: make(map[string]interface{}), + Metadata: make(map[string]interface{}), + } + + switch req.Type { + case ConversationExtraction: + data, err := se.extractConversation(req.Source, req.Options) + if err != nil { + return nil, fmt.Errorf("conversation extraction failed: %w", err) + } + result.Data = data + result.Summary = se.summarizeConversation(data) + + case MetricsExtraction: + data, err := se.extractMetrics(req.Source, req.Options) + if err != nil { + return nil, fmt.Errorf("metrics extraction failed: %w", err) + } + result.Data = data + result.Summary = se.summarizeMetrics(data) + + case PatternsExtraction: + data, err := se.extractPatterns(req.Source, req.Options) + if err != nil { + return nil, fmt.Errorf("patterns extraction failed: %w", err) + } + result.Data = data + result.Summary = se.summarizePatterns(data) + + case SummaryExtraction: + data, err := se.extractSummary(req.Source, req.Options) + if err != nil { + return nil, fmt.Errorf("summary extraction failed: %w", err) + } + result.Data = data + result.Summary = map[string]interface{}{"extracted_summaries": len(data.([]map[string]interface{}))} + + case TimelineExtraction: + data, err := se.extractTimeline(req.Source, req.Options) + if err != nil { + return nil, fmt.Errorf("timeline extraction failed: %w", err) + } + result.Data = data + result.Summary = se.summarizeTimeline(data) + + default: + return nil, fmt.Errorf("unsupported extraction type: %s", req.Type) + } + + // Add request metadata to result + if req.Metadata != nil { + for k, v := range req.Metadata { + result.Metadata[k] = v + } + } + + return result, nil +} + +// GetSupportedTypes returns the extraction types this extractor supports +func (se *SimulationExtractor) GetSupportedTypes() []ExtractionType { + return []ExtractionType{ + ConversationExtraction, + MetricsExtraction, + PatternsExtraction, + SummaryExtraction, + TimelineExtraction, + } +} + +// extractConversation extracts conversation data from logs or agent histories +func (se *SimulationExtractor) extractConversation(source interface{}, options map[string]interface{}) (*ConversationData, error) { + var logLines []string + + // Handle different source types + switch s := source.(type) { + case string: + logLines = strings.Split(s, "\n") + case []string: + logLines = s + case []interface{}: + for _, line := range s { + if str, ok := line.(string); ok { + logLines = append(logLines, str) + } + } + default: + return nil, fmt.Errorf("unsupported source type for conversation extraction") + } + + conversation := &ConversationData{ + Messages: []MessageData{}, + Participants: []string{}, + Topics: []string{}, + Emotions: make(map[string][]string), + Statistics: make(map[string]interface{}), + } + + participantSet := make(map[string]bool) + topicSet := make(map[string]bool) + + for _, line := range logLines { + line = strings.TrimSpace(line) + if line == "" { + continue + } + + // Parse timestamp + timestampMatch := se.patterns["timestamp"].FindStringSubmatch(line) + var timestamp time.Time + if len(timestampMatch) > 1 { + // Parse timestamp (format: 2025/08/02 11:01:01) + t, err := time.Parse("2006/01/02 15:04:05", timestampMatch[1]) + if err == nil { + timestamp = t + } + } + + // Extract message content + if messageMatch := se.patterns["message"].FindStringSubmatch(line); len(messageMatch) > 1 { + // Extract agent name + agentMatch := se.patterns["agent_name"].FindStringSubmatch(line) + if len(agentMatch) > 1 { + speaker := agentMatch[1] + content := messageMatch[1] + + message := MessageData{ + Speaker: speaker, + Content: content, + Timestamp: timestamp, + Type: "message", + Metadata: make(map[string]interface{}), + } + + conversation.Messages = append(conversation.Messages, message) + participantSet[speaker] = true + + // Extract topics from content + topics := se.extractTopicsFromText(content) + for _, topic := range topics { + topicSet[topic] = true + } + + // Extract emotions + emotions := se.extractEmotionsFromText(content) + if len(emotions) > 0 { + conversation.Emotions[speaker] = append(conversation.Emotions[speaker], emotions...) + } + } + } + + // Extract broadcast messages + if broadcastMatch := se.patterns["broadcast"].FindStringSubmatch(line); len(broadcastMatch) > 1 { + agentMatch := se.patterns["agent_name"].FindStringSubmatch(line) + if len(agentMatch) > 1 { + speaker := agentMatch[1] + content := broadcastMatch[1] + + message := MessageData{ + Speaker: speaker, + Content: content, + Timestamp: timestamp, + Type: "broadcast", + Metadata: make(map[string]interface{}), + } + + conversation.Messages = append(conversation.Messages, message) + participantSet[speaker] = true + } + } + + // Extract direct talk messages + if talkMatch := se.patterns["talk"].FindStringSubmatch(line); len(talkMatch) > 3 { + speaker := talkMatch[1] + target := talkMatch[2] + content := talkMatch[3] + + message := MessageData{ + Speaker: speaker, + Content: content, + Timestamp: timestamp, + Type: "direct_talk", + Metadata: map[string]interface{}{ + "target": target, + }, + } + + conversation.Messages = append(conversation.Messages, message) + participantSet[speaker] = true + participantSet[target] = true + } + } + + // Convert sets to slices + for participant := range participantSet { + conversation.Participants = append(conversation.Participants, participant) + } + sort.Strings(conversation.Participants) + + for topic := range topicSet { + conversation.Topics = append(conversation.Topics, topic) + } + sort.Strings(conversation.Topics) + + // Set time bounds + if len(conversation.Messages) > 0 { + conversation.StartTime = conversation.Messages[0].Timestamp + conversation.EndTime = conversation.Messages[len(conversation.Messages)-1].Timestamp + } + + // Calculate statistics + conversation.Statistics["message_count"] = len(conversation.Messages) + conversation.Statistics["participant_count"] = len(conversation.Participants) + conversation.Statistics["topic_count"] = len(conversation.Topics) + if !conversation.EndTime.IsZero() && !conversation.StartTime.IsZero() { + conversation.Statistics["duration_minutes"] = conversation.EndTime.Sub(conversation.StartTime).Minutes() + } + + return conversation, nil +} + +// extractMetrics extracts performance and interaction metrics +func (se *SimulationExtractor) extractMetrics(source interface{}, options map[string]interface{}) (*MetricsData, error) { + // First extract conversation data to analyze + conversation, err := se.extractConversation(source, options) + if err != nil { + return nil, fmt.Errorf("failed to extract conversation for metrics: %w", err) + } + + metrics := &MetricsData{ + AgentMetrics: make(map[string]AgentMetric), + InteractionCounts: make(map[string]int), + TimeSpentByAgent: make(map[string]time.Duration), + TotalMessages: len(conversation.Messages), + Summary: make(map[string]interface{}), + } + + if len(conversation.Messages) > 0 { + metrics.TotalDuration = conversation.EndTime.Sub(conversation.StartTime) + } + + // Calculate per-agent metrics + for _, participant := range conversation.Participants { + agentMetric := AgentMetric{ + EmotionalTone: make(map[string]int), + ActivityPattern: make(map[string]interface{}), + } + + messageCount := 0 + totalWords := 0 + + // Track activity by hour + hourlyActivity := make(map[int]int) + + for _, message := range conversation.Messages { + if message.Speaker == participant { + messageCount++ + wordCount := len(strings.Fields(message.Content)) + totalWords += wordCount + + // Track hourly activity + hour := message.Timestamp.Hour() + hourlyActivity[hour]++ + + // Analyze emotional tone + emotions := se.extractEmotionsFromText(message.Content) + for _, emotion := range emotions { + agentMetric.EmotionalTone[emotion]++ + } + } + } + + agentMetric.MessageCount = messageCount + agentMetric.WordCount = totalWords + if messageCount > 0 { + agentMetric.AverageLength = float64(totalWords) / float64(messageCount) + } + + // Store activity pattern + agentMetric.ActivityPattern["hourly_distribution"] = hourlyActivity + agentMetric.ActivityPattern["most_active_hour"] = se.getMostActiveHour(hourlyActivity) + + metrics.AgentMetrics[participant] = agentMetric + metrics.InteractionCounts[participant] = messageCount + } + + // Find peak activity time + if len(conversation.Messages) > 0 { + hourCounts := make(map[int]int) + for _, message := range conversation.Messages { + hour := message.Timestamp.Hour() + hourCounts[hour]++ + } + + maxCount := 0 + peakHour := 0 + for hour, count := range hourCounts { + if count > maxCount { + maxCount = count + peakHour = hour + } + } + + // Create a time representing the peak hour + metrics.PeakActivity = time.Date(2023, 1, 1, peakHour, 0, 0, 0, time.UTC) + } + + // Generate summary + metrics.Summary["total_participants"] = len(conversation.Participants) + metrics.Summary["average_messages_per_participant"] = float64(metrics.TotalMessages) / float64(len(conversation.Participants)) + + return metrics, nil +} + +// extractPatterns identifies communication and behavioral patterns +func (se *SimulationExtractor) extractPatterns(source interface{}, options map[string]interface{}) (interface{}, error) { + conversation, err := se.extractConversation(source, options) + if err != nil { + return nil, fmt.Errorf("failed to extract conversation for patterns: %w", err) + } + + patterns := map[string]interface{}{ + "conversation_patterns": se.analyzeConversationPatterns(conversation), + "temporal_patterns": se.analyzeTemporalPatterns(conversation), + "linguistic_patterns": se.analyzeLinguisticPatterns(conversation), + "interaction_patterns": se.analyzeInteractionPatterns(conversation), + } + + return patterns, nil +} + +// extractSummary generates summaries of simulation data +func (se *SimulationExtractor) extractSummary(source interface{}, options map[string]interface{}) (interface{}, error) { + conversation, err := se.extractConversation(source, options) + if err != nil { + return nil, fmt.Errorf("failed to extract conversation for summary: %w", err) + } + + summaries := []map[string]interface{}{ + { + "type": "overview", + "content": se.generateOverviewSummary(conversation), + "metadata": map[string]interface{}{"generated_at": time.Now()}, + }, + { + "type": "key_topics", + "content": conversation.Topics, + "metadata": map[string]interface{}{"count": len(conversation.Topics)}, + }, + { + "type": "participant_activity", + "content": se.generateParticipantSummary(conversation), + "metadata": map[string]interface{}{"participant_count": len(conversation.Participants)}, + }, + } + + return summaries, nil +} + +// extractTimeline creates a chronological timeline of events +func (se *SimulationExtractor) extractTimeline(source interface{}, options map[string]interface{}) (interface{}, error) { + conversation, err := se.extractConversation(source, options) + if err != nil { + return nil, fmt.Errorf("failed to extract conversation for timeline: %w", err) + } + + timeline := make([]map[string]interface{}, 0, len(conversation.Messages)) + + for _, message := range conversation.Messages { + event := map[string]interface{}{ + "timestamp": message.Timestamp, + "type": "message", + "actor": message.Speaker, + "content": message.Content, + "metadata": message.Metadata, + } + + if message.Type != "" { + event["message_type"] = message.Type + } + + timeline = append(timeline, event) + } + + return timeline, nil +} + +// Helper methods for analysis + +func (se *SimulationExtractor) extractTopicsFromText(text string) []string { + topics := []string{} + lower := strings.ToLower(text) + + topicKeywords := map[string][]string{ + "technology": {"technology", "software", "programming", "AI", "artificial intelligence"}, + "work": {"work", "job", "project", "task", "meeting"}, + "personal": {"family", "home", "hobby", "interest", "free time"}, + "travel": {"travel", "trip", "vacation", "journey", "visit"}, + "food": {"food", "cooking", "recipe", "restaurant", "meal"}, + "music": {"music", "song", "piano", "guitar", "concert"}, + } + + for topic, keywords := range topicKeywords { + for _, keyword := range keywords { + if strings.Contains(lower, keyword) { + topics = append(topics, topic) + break + } + } + } + + return topics +} + +func (se *SimulationExtractor) extractEmotionsFromText(text string) []string { + emotions := []string{} + lower := strings.ToLower(text) + + // Add word boundaries to ensure exact word matching + words := strings.Fields(lower) + wordSet := make(map[string]bool) + for _, word := range words { + // Remove punctuation from words + cleanWord := strings.Trim(word, ".,!?;:") + wordSet[cleanWord] = true + } + + emotionKeywords := map[string][]string{ + "positive": {"happy", "excited", "great", "wonderful", "amazing", "love", "enjoy"}, + "negative": {"sad", "upset", "disappointed", "frustrated", "angry", "hate"}, + "curious": {"curious", "wonder", "interesting", "fascinated", "intrigued"}, + "confident": {"confident", "sure", "certain", "definitely", "absolutely"}, + "uncertain": {"unsure", "maybe", "perhaps", "might"}, + } + + for emotion, keywords := range emotionKeywords { + for _, keyword := range keywords { + if wordSet[keyword] { + emotions = append(emotions, emotion) + break // Only add each emotion category once + } + } + } + + // Special case for multi-word phrases + if strings.Contains(lower, "could be") { + // Check if uncertain is already added + found := false + for _, emotion := range emotions { + if emotion == "uncertain" { + found = true + break + } + } + if !found { + emotions = append(emotions, "uncertain") + } + } + + return emotions +} + +func (se *SimulationExtractor) getMostActiveHour(hourlyActivity map[int]int) int { + maxActivity := 0 + mostActiveHour := 0 + + for hour, activity := range hourlyActivity { + if activity > maxActivity { + maxActivity = activity + mostActiveHour = hour + } + } + + return mostActiveHour +} + +// Analysis methods for patterns + +func (se *SimulationExtractor) analyzeConversationPatterns(conversation *ConversationData) map[string]interface{} { + patterns := map[string]interface{}{ + "message_distribution": se.calculateMessageDistribution(conversation), + "response_time_patterns": se.analyzeResponseTimes(conversation), + "conversation_flow": se.analyzeConversationFlow(conversation), + "topic_transitions": se.analyzeTopicTransitions(conversation), + } + + return patterns +} + +func (se *SimulationExtractor) analyzeTemporalPatterns(conversation *ConversationData) map[string]interface{} { + patterns := map[string]interface{}{ + "activity_by_hour": se.getActivityByHour(conversation), + "conversation_length": len(conversation.Messages), + "peak_activity_time": se.getPeakActivityTime(conversation), + "quiet_periods": se.identifyQuietPeriods(conversation), + } + + return patterns +} + +func (se *SimulationExtractor) analyzeLinguisticPatterns(conversation *ConversationData) map[string]interface{} { + patterns := map[string]interface{}{ + "average_message_length": se.calculateAverageMessageLength(conversation), + "vocabulary_diversity": se.calculateVocabularyDiversity(conversation), + "communication_styles": se.identifyCommunicationStyles(conversation), + "common_phrases": se.findCommonPhrases(conversation), + } + + return patterns +} + +func (se *SimulationExtractor) analyzeInteractionPatterns(conversation *ConversationData) map[string]interface{} { + patterns := map[string]interface{}{ + "interaction_matrix": se.buildInteractionMatrix(conversation), + "conversation_starters": se.identifyConversationStarters(conversation), + "most_responsive_agent": se.findMostResponsiveAgent(conversation), + "interaction_frequency": se.calculateInteractionFrequency(conversation), + } + + return patterns +} + +// Summary generation methods + +func (se *SimulationExtractor) generateOverviewSummary(conversation *ConversationData) string { + if len(conversation.Messages) == 0 { + return "No conversation data available." + } + + summary := fmt.Sprintf("Conversation involved %d participants exchanging %d messages over %.1f minutes. ", + len(conversation.Participants), + len(conversation.Messages), + conversation.EndTime.Sub(conversation.StartTime).Minutes()) + + if len(conversation.Topics) > 0 { + summary += fmt.Sprintf("Main topics discussed: %s.", strings.Join(conversation.Topics, ", ")) + } + + return summary +} + +func (se *SimulationExtractor) generateParticipantSummary(conversation *ConversationData) map[string]interface{} { + summary := make(map[string]interface{}) + + for _, participant := range conversation.Participants { + messageCount := 0 + totalWords := 0 + + for _, message := range conversation.Messages { + if message.Speaker == participant { + messageCount++ + totalWords += len(strings.Fields(message.Content)) + } + } + + summary[participant] = map[string]interface{}{ + "message_count": messageCount, + "total_words": totalWords, + "average_length": float64(totalWords) / float64(messageCount), + "participation_rate": float64(messageCount) / float64(len(conversation.Messages)), + } + } + + return summary +} + +// Helper methods for summarization + +func (se *SimulationExtractor) summarizeConversation(data *ConversationData) map[string]interface{} { + return map[string]interface{}{ + "message_count": len(data.Messages), + "participant_count": len(data.Participants), + "topic_count": len(data.Topics), + "duration_minutes": data.EndTime.Sub(data.StartTime).Minutes(), + "participants": data.Participants, + "topics": data.Topics, + } +} + +func (se *SimulationExtractor) summarizeMetrics(data *MetricsData) map[string]interface{} { + return map[string]interface{}{ + "total_messages": data.TotalMessages, + "participant_count": len(data.AgentMetrics), + "total_duration": data.TotalDuration.String(), + "peak_activity_hour": data.PeakActivity.Hour(), + "most_active_agent": se.findMostActiveAgent(data), + } +} + +func (se *SimulationExtractor) summarizePatterns(data interface{}) map[string]interface{} { + patterns, ok := data.(map[string]interface{}) + if !ok { + return map[string]interface{}{"error": "invalid patterns data"} + } + + return map[string]interface{}{ + "pattern_types": len(patterns), + "analyzed": true, + } +} + +func (se *SimulationExtractor) summarizeTimeline(data interface{}) map[string]interface{} { + timeline, ok := data.([]map[string]interface{}) + if !ok { + return map[string]interface{}{"error": "invalid timeline data"} + } + + return map[string]interface{}{ + "event_count": len(timeline), + "timeline_created": true, + } +} + +// Additional helper methods (simplified implementations) + +func (se *SimulationExtractor) calculateMessageDistribution(conversation *ConversationData) map[string]int { + distribution := make(map[string]int) + for _, message := range conversation.Messages { + distribution[message.Speaker]++ + } + return distribution +} + +func (se *SimulationExtractor) analyzeResponseTimes(conversation *ConversationData) map[string]interface{} { + // Simplified implementation + return map[string]interface{}{ + "average_response_time": "analysis_placeholder", + "response_patterns": "quick_responses_detected", + } +} + +func (se *SimulationExtractor) analyzeConversationFlow(conversation *ConversationData) map[string]interface{} { + // Simplified implementation + return map[string]interface{}{ + "flow_type": "natural", + "interruptions": 0, + "conversation_turns": len(conversation.Messages), + } +} + +func (se *SimulationExtractor) analyzeTopicTransitions(conversation *ConversationData) []string { + // Simplified implementation + return conversation.Topics +} + +func (se *SimulationExtractor) getActivityByHour(conversation *ConversationData) map[string]int { + activity := make(map[string]int) + for _, message := range conversation.Messages { + hour := strconv.Itoa(message.Timestamp.Hour()) + activity[hour]++ + } + return activity +} + +func (se *SimulationExtractor) getPeakActivityTime(conversation *ConversationData) string { + hourCounts := make(map[int]int) + for _, message := range conversation.Messages { + hourCounts[message.Timestamp.Hour()]++ + } + + maxCount := 0 + peakHour := 0 + for hour, count := range hourCounts { + if count > maxCount { + maxCount = count + peakHour = hour + } + } + + return fmt.Sprintf("%d:00", peakHour) +} + +func (se *SimulationExtractor) identifyQuietPeriods(conversation *ConversationData) []string { + // Simplified implementation + return []string{"no_quiet_periods_detected"} +} + +func (se *SimulationExtractor) calculateAverageMessageLength(conversation *ConversationData) float64 { + if len(conversation.Messages) == 0 { + return 0 + } + + totalWords := 0 + for _, message := range conversation.Messages { + totalWords += len(strings.Fields(message.Content)) + } + + return float64(totalWords) / float64(len(conversation.Messages)) +} + +func (se *SimulationExtractor) calculateVocabularyDiversity(conversation *ConversationData) int { + words := make(map[string]bool) + for _, message := range conversation.Messages { + for _, word := range strings.Fields(strings.ToLower(message.Content)) { + words[word] = true + } + } + return len(words) +} + +func (se *SimulationExtractor) identifyCommunicationStyles(conversation *ConversationData) map[string]string { + styles := make(map[string]string) + for _, participant := range conversation.Participants { + // Simplified style detection + styles[participant] = "conversational" + } + return styles +} + +func (se *SimulationExtractor) findCommonPhrases(conversation *ConversationData) []string { + // Simplified implementation + return []string{"hello", "how are you", "thank you"} +} + +func (se *SimulationExtractor) buildInteractionMatrix(conversation *ConversationData) map[string]map[string]int { + matrix := make(map[string]map[string]int) + + for _, participant := range conversation.Participants { + matrix[participant] = make(map[string]int) + for _, other := range conversation.Participants { + matrix[participant][other] = 0 + } + } + + // Count direct interactions + for _, message := range conversation.Messages { + if target, exists := message.Metadata["target"]; exists { + if targetStr, ok := target.(string); ok { + matrix[message.Speaker][targetStr]++ + } + } + } + + return matrix +} + +func (se *SimulationExtractor) identifyConversationStarters(conversation *ConversationData) []string { + starters := []string{} + if len(conversation.Messages) > 0 { + starters = append(starters, conversation.Messages[0].Speaker) + } + return starters +} + +func (se *SimulationExtractor) findMostResponsiveAgent(conversation *ConversationData) string { + if len(conversation.Participants) == 0 { + return "" + } + + responseCounts := make(map[string]int) + for _, message := range conversation.Messages { + responseCounts[message.Speaker]++ + } + + maxResponses := 0 + mostResponsive := "" + for agent, count := range responseCounts { + if count > maxResponses { + maxResponses = count + mostResponsive = agent + } + } + + return mostResponsive +} + +func (se *SimulationExtractor) calculateInteractionFrequency(conversation *ConversationData) map[string]float64 { + frequency := make(map[string]float64) + totalMessages := float64(len(conversation.Messages)) + + for _, participant := range conversation.Participants { + count := 0 + for _, message := range conversation.Messages { + if message.Speaker == participant { + count++ + } + } + frequency[participant] = float64(count) / totalMessages + } + + return frequency +} + +func (se *SimulationExtractor) findMostActiveAgent(data *MetricsData) string { + maxMessages := 0 + mostActive := "" + + for agent, metric := range data.AgentMetrics { + if metric.MessageCount > maxMessages { + maxMessages = metric.MessageCount + mostActive = agent + } + } + + return mostActive +} diff --git a/go/pkg/extraction/extraction_test.go b/go/pkg/extraction/extraction_test.go new file mode 100644 index 0000000..95104f6 --- /dev/null +++ b/go/pkg/extraction/extraction_test.go @@ -0,0 +1,611 @@ +package extraction + +import ( + "context" + "testing" + "time" +) + +func TestSimulationExtractorCreation(t *testing.T) { + extractor := NewSimulationExtractor() + if extractor == nil { + t.Fatal("NewSimulationExtractor returned nil") + } + + supportedTypes := extractor.GetSupportedTypes() + if len(supportedTypes) != 5 { + t.Errorf("Expected 5 supported types, got %d", len(supportedTypes)) + } + + expectedTypes := []ExtractionType{ + ConversationExtraction, + MetricsExtraction, + PatternsExtraction, + SummaryExtraction, + TimelineExtraction, + } + + for _, expectedType := range expectedTypes { + found := false + for _, supportedType := range supportedTypes { + if supportedType == expectedType { + found = true + break + } + } + if !found { + t.Errorf("Expected type %s not found in supported types", expectedType) + } + } +} + +func TestExtractionRequestValidation(t *testing.T) { + extractor := NewSimulationExtractor() + ctx := context.Background() + + // Test nil request + result, err := extractor.Extract(ctx, nil) + if err == nil { + t.Error("Expected error for nil request") + } + if result != nil { + t.Error("Expected nil result for nil request") + } +} + +func TestConversationExtraction(t *testing.T) { + extractor := NewSimulationExtractor() + ctx := context.Background() + + // Sample log data from TinyTroupe simulation + logData := []string{ + "2025/08/02 11:01:01 [Alice] Listening to: Hello Bob, how are you today?", + "2025/08/02 11:01:02 [Bob] Listening to: Hi Alice! I'm doing great, thanks for asking.", + "2025/08/02 11:01:03 [TestWorld] Alice -> Bob: What are you working on?", + "2025/08/02 11:01:04 [TestWorld] Broadcasting: Welcome everyone to the chat!", + "2025/08/02 11:01:05 [Charlie] Listening to: Thanks for the welcome!", + } + + req := &ExtractionRequest{ + Type: ConversationExtraction, + Source: logData, + Options: map[string]interface{}{ + "include_metadata": true, + }, + } + + result, err := extractor.Extract(ctx, req) + if err != nil { + t.Fatalf("Conversation extraction failed: %v", err) + } + + if result == nil { + t.Fatal("Result is nil") + } + + if result.Type != ConversationExtraction { + t.Errorf("Expected type %s, got %s", ConversationExtraction, result.Type) + } + + // Check that we got conversation data + conversationData, ok := result.Data.(*ConversationData) + if !ok { + t.Fatal("Result data is not ConversationData") + } + + // Verify messages were extracted + if len(conversationData.Messages) == 0 { + t.Error("No messages extracted") + } + + // Verify participants were identified + if len(conversationData.Participants) == 0 { + t.Error("No participants identified") + } + + // Check for specific participants + expectedParticipants := []string{"Alice", "Bob", "Charlie"} + for _, expected := range expectedParticipants { + found := false + for _, participant := range conversationData.Participants { + if participant == expected { + found = true + break + } + } + if !found { + t.Errorf("Expected participant %s not found", expected) + } + } + + // Verify statistics + if conversationData.Statistics["message_count"] == 0 { + t.Error("Message count not calculated") + } + + // Check summary + if len(result.Summary) == 0 { + t.Error("No summary generated") + } +} + +func TestMetricsExtraction(t *testing.T) { + extractor := NewSimulationExtractor() + ctx := context.Background() + + logData := []string{ + "2025/08/02 11:01:01 [Alice] Listening to: Hello everyone! I'm excited to be here.", + "2025/08/02 11:01:02 [Bob] Listening to: Hi Alice, nice to meet you!", + "2025/08/02 11:01:03 [Alice] Listening to: How is everyone doing today?", + "2025/08/02 11:01:04 [Charlie] Listening to: I'm doing great, thanks for asking Alice.", + "2025/08/02 11:01:05 [Bob] Listening to: Same here, having a wonderful day!", + } + + req := &ExtractionRequest{ + Type: MetricsExtraction, + Source: logData, + } + + result, err := extractor.Extract(ctx, req) + if err != nil { + t.Fatalf("Metrics extraction failed: %v", err) + } + + metricsData, ok := result.Data.(*MetricsData) + if !ok { + t.Fatal("Result data is not MetricsData") + } + + // Check that metrics were calculated + if len(metricsData.AgentMetrics) == 0 { + t.Error("No agent metrics calculated") + } + + if metricsData.TotalMessages == 0 { + t.Error("Total message count not calculated") + } + + // Verify specific agent metrics + if aliceMetrics, exists := metricsData.AgentMetrics["Alice"]; exists { + if aliceMetrics.MessageCount != 2 { + t.Errorf("Expected Alice to have 2 messages, got %d", aliceMetrics.MessageCount) + } + + if aliceMetrics.WordCount == 0 { + t.Error("Alice's word count not calculated") + } + + if aliceMetrics.AverageLength == 0 { + t.Error("Alice's average message length not calculated") + } + } else { + t.Error("Alice metrics not found") + } + + // Check interaction counts + if len(metricsData.InteractionCounts) == 0 { + t.Error("Interaction counts not calculated") + } +} + +func TestPatternsExtraction(t *testing.T) { + extractor := NewSimulationExtractor() + ctx := context.Background() + + logData := []string{ + "2025/08/02 09:01:01 [Alice] Listening to: Good morning everyone!", + "2025/08/02 09:01:02 [Bob] Listening to: Morning Alice!", + "2025/08/02 14:01:03 [Alice] Listening to: How's the afternoon going?", + "2025/08/02 14:01:04 [Charlie] Listening to: Pretty good, thanks!", + "2025/08/02 18:01:05 [Bob] Listening to: Getting close to evening now.", + } + + req := &ExtractionRequest{ + Type: PatternsExtraction, + Source: logData, + } + + result, err := extractor.Extract(ctx, req) + if err != nil { + t.Fatalf("Patterns extraction failed: %v", err) + } + + patterns, ok := result.Data.(map[string]interface{}) + if !ok { + t.Fatal("Result data is not a patterns map") + } + + // Check that pattern categories exist + expectedCategories := []string{ + "conversation_patterns", + "temporal_patterns", + "linguistic_patterns", + "interaction_patterns", + } + + for _, category := range expectedCategories { + if _, exists := patterns[category]; !exists { + t.Errorf("Pattern category %s not found", category) + } + } + + // Verify temporal patterns include activity analysis + if temporalPatterns, exists := patterns["temporal_patterns"]; exists { + temporalMap, ok := temporalPatterns.(map[string]interface{}) + if !ok { + t.Error("Temporal patterns is not a map") + } else { + if _, exists := temporalMap["activity_by_hour"]; !exists { + t.Error("Activity by hour not found in temporal patterns") + } + } + } +} + +func TestSummaryExtraction(t *testing.T) { + extractor := NewSimulationExtractor() + ctx := context.Background() + + logData := []string{ + "2025/08/02 11:01:01 [Alice] Listening to: Let's discuss technology and programming today.", + "2025/08/02 11:01:02 [Bob] Listening to: Great idea! I love talking about software development.", + "2025/08/02 11:01:03 [Charlie] Listening to: I'm also interested in AI and machine learning.", + } + + req := &ExtractionRequest{ + Type: SummaryExtraction, + Source: logData, + } + + result, err := extractor.Extract(ctx, req) + if err != nil { + t.Fatalf("Summary extraction failed: %v", err) + } + + summaries, ok := result.Data.([]map[string]interface{}) + if !ok { + t.Fatal("Result data is not a summaries slice") + } + + if len(summaries) == 0 { + t.Error("No summaries generated") + } + + // Check that different summary types are present + summaryTypes := make(map[string]bool) + for _, summary := range summaries { + if summaryType, exists := summary["type"]; exists { + if typeStr, ok := summaryType.(string); ok { + summaryTypes[typeStr] = true + } + } + } + + expectedTypes := []string{"overview", "key_topics", "participant_activity"} + for _, expectedType := range expectedTypes { + if !summaryTypes[expectedType] { + t.Errorf("Summary type %s not found", expectedType) + } + } +} + +func TestTimelineExtraction(t *testing.T) { + extractor := NewSimulationExtractor() + ctx := context.Background() + + logData := []string{ + "2025/08/02 11:01:01 [Alice] Listening to: First message", + "2025/08/02 11:01:02 [Bob] Listening to: Second message", + "2025/08/02 11:01:03 [TestWorld] Alice -> Bob: Direct message", + "2025/08/02 11:01:04 [TestWorld] Broadcasting: Broadcast message", + } + + req := &ExtractionRequest{ + Type: TimelineExtraction, + Source: logData, + } + + result, err := extractor.Extract(ctx, req) + if err != nil { + t.Fatalf("Timeline extraction failed: %v", err) + } + + timeline, ok := result.Data.([]map[string]interface{}) + if !ok { + t.Fatal("Result data is not a timeline slice") + } + + if len(timeline) == 0 { + t.Error("No timeline events generated") + } + + // Verify timeline events have required fields + for i, event := range timeline { + if _, exists := event["timestamp"]; !exists { + t.Errorf("Timeline event %d missing timestamp", i) + } + + if _, exists := event["type"]; !exists { + t.Errorf("Timeline event %d missing type", i) + } + + if _, exists := event["actor"]; !exists { + t.Errorf("Timeline event %d missing actor", i) + } + + if _, exists := event["content"]; !exists { + t.Errorf("Timeline event %d missing content", i) + } + } + + // Check chronological order + var lastTime time.Time + for i, event := range timeline { + if timestamp, exists := event["timestamp"]; exists { + if eventTime, ok := timestamp.(time.Time); ok { + if i > 0 && eventTime.Before(lastTime) { + t.Error("Timeline events are not in chronological order") + } + lastTime = eventTime + } + } + } +} + +func TestUnsupportedExtractionType(t *testing.T) { + extractor := NewSimulationExtractor() + ctx := context.Background() + + req := &ExtractionRequest{ + Type: "unsupported_type", + Source: "test data", + } + + result, err := extractor.Extract(ctx, req) + if err == nil { + t.Error("Expected error for unsupported extraction type") + } + if result != nil { + t.Error("Expected nil result for unsupported extraction type") + } +} + +func TestEmotionExtraction(t *testing.T) { + extractor := NewSimulationExtractor() + + testCases := []struct { + text string + expectedEmotions []string + }{ + { + text: "I'm so happy and excited about this project!", + expectedEmotions: []string{"positive"}, + }, + { + text: "I'm confident this will definitely work.", + expectedEmotions: []string{"confident"}, + }, + { + text: "I'm curious and fascinated by this problem.", + expectedEmotions: []string{"curious"}, + }, + { + text: "I'm unsure, maybe we should think about this.", + expectedEmotions: []string{"uncertain"}, + }, + { + text: "This is a neutral technical statement.", + expectedEmotions: []string{}, + }, + } + + for _, tc := range testCases { + emotions := extractor.extractEmotionsFromText(tc.text) + + if len(emotions) != len(tc.expectedEmotions) { + t.Errorf("For text '%s', expected %d emotions, got %d", tc.text, len(tc.expectedEmotions), len(emotions)) + continue + } + + for _, expected := range tc.expectedEmotions { + found := false + for _, actual := range emotions { + if actual == expected { + found = true + break + } + } + if !found { + t.Errorf("For text '%s', expected emotion '%s' not found", tc.text, expected) + } + } + } +} + +func TestTopicExtraction(t *testing.T) { + extractor := NewSimulationExtractor() + + testCases := []struct { + text string + expectedTopics []string + }{ + { + text: "I love programming and software development with AI technology.", + expectedTopics: []string{"technology"}, + }, + { + text: "Let's discuss our work project and upcoming meeting.", + expectedTopics: []string{"work"}, + }, + { + text: "I enjoy cooking recipes and trying new food at restaurants.", + expectedTopics: []string{"food"}, + }, + { + text: "Playing piano and guitar music is my hobby.", + expectedTopics: []string{"music", "personal"}, // contains both "piano/music" and "hobby" + }, + { + text: "This is a generic conversation without specific topics.", + expectedTopics: []string{}, + }, + } + + for _, tc := range testCases { + topics := extractor.extractTopicsFromText(tc.text) + + if len(topics) != len(tc.expectedTopics) { + t.Errorf("For text '%s', expected %d topics, got %d", tc.text, len(tc.expectedTopics), len(topics)) + continue + } + + for _, expected := range tc.expectedTopics { + found := false + for _, actual := range topics { + if actual == expected { + found = true + break + } + } + if !found { + t.Errorf("For text '%s', expected topic '%s' not found", tc.text, expected) + } + } + } +} + +func TestDifferentSourceTypes(t *testing.T) { + extractor := NewSimulationExtractor() + ctx := context.Background() + + testCases := []struct { + name string + source interface{} + valid bool + }{ + { + name: "string_source", + source: "2025/08/02 11:01:01 [Alice] Listening to: Hello world", + valid: true, + }, + { + name: "string_slice_source", + source: []string{"2025/08/02 11:01:01 [Alice] Listening to: Hello world"}, + valid: true, + }, + { + name: "interface_slice_source", + source: []interface{}{"2025/08/02 11:01:01 [Alice] Listening to: Hello world"}, + valid: true, + }, + { + name: "invalid_source", + source: 12345, + valid: false, + }, + } + + for _, tc := range testCases { + t.Run(tc.name, func(t *testing.T) { + req := &ExtractionRequest{ + Type: ConversationExtraction, + Source: tc.source, + } + + result, err := extractor.Extract(ctx, req) + + if tc.valid { + if err != nil { + t.Errorf("Expected no error for valid source, got: %v", err) + } + if result == nil { + t.Error("Expected result for valid source") + } + } else { + if err == nil { + t.Error("Expected error for invalid source") + } + } + }) + } +} + +func TestMetadataHandling(t *testing.T) { + extractor := NewSimulationExtractor() + ctx := context.Background() + + metadata := map[string]interface{}{ + "session_id": "test-session-123", + "environment": "test-env", + "experiment": "conversation-analysis", + } + + req := &ExtractionRequest{ + Type: ConversationExtraction, + Source: "2025/08/02 11:01:01 [Alice] Listening to: Test message", + Metadata: metadata, + } + + result, err := extractor.Extract(ctx, req) + if err != nil { + t.Fatalf("Extraction failed: %v", err) + } + + // Verify metadata was preserved in result + for key, expectedValue := range metadata { + if actualValue, exists := result.Metadata[key]; !exists { + t.Errorf("Metadata key %s not found in result", key) + } else if actualValue != expectedValue { + t.Errorf("Metadata key %s: expected %v, got %v", key, expectedValue, actualValue) + } + } +} + +func TestConversationStatistics(t *testing.T) { + extractor := NewSimulationExtractor() + ctx := context.Background() + + logData := []string{ + "2025/08/02 11:01:01 [Alice] Listening to: Hello", + "2025/08/02 11:01:02 [Bob] Listening to: Hi there", + "2025/08/02 11:01:03 [Charlie] Listening to: Good morning", + "2025/08/02 11:05:01 [Alice] Listening to: How is everyone?", + } + + req := &ExtractionRequest{ + Type: ConversationExtraction, + Source: logData, + } + + result, err := extractor.Extract(ctx, req) + if err != nil { + t.Fatalf("Extraction failed: %v", err) + } + + conversationData, ok := result.Data.(*ConversationData) + if !ok { + t.Fatal("Result data is not ConversationData") + } + + // Check that duration was calculated + if conversationData.Statistics["duration_minutes"] == nil { + t.Error("Duration not calculated") + } + + duration, ok := conversationData.Statistics["duration_minutes"].(float64) + if !ok { + t.Error("Duration is not a float64") + } else if duration <= 0 { + t.Error("Duration should be positive") + } + + // Check message count + if conversationData.Statistics["message_count"] != len(conversationData.Messages) { + t.Error("Message count in statistics doesn't match actual messages") + } + + // Check participant count + if conversationData.Statistics["participant_count"] != len(conversationData.Participants) { + t.Error("Participant count in statistics doesn't match actual participants") + } +} diff --git a/go/pkg/factory/factory.go b/go/pkg/factory/factory.go new file mode 100644 index 0000000..b6da84e --- /dev/null +++ b/go/pkg/factory/factory.go @@ -0,0 +1,169 @@ +// Package factory provides agent creation patterns and templates. +// This module handles the creation and configuration of TinyPerson agents. +package factory + +import ( + "encoding/json" + "errors" +) + +// AgentFactory creates and configures TinyPerson agents +type AgentFactory interface { + // CreateAgent creates a new agent from a template + CreateAgent(template AgentTemplate) (Agent, error) + + // CreateAgentFromJSON creates an agent from JSON configuration + CreateAgentFromJSON(data []byte) (Agent, error) + + // ValidateTemplate validates an agent template + ValidateTemplate(template AgentTemplate) error + + // ListTemplates returns available agent templates + ListTemplates() []string + + // SaveTemplate saves an agent template for reuse + SaveTemplate(name string, template AgentTemplate) error +} + +// Agent represents a minimal interface for created agents +// This should align with the agent package's TinyPerson interface +type Agent interface { + GetName() string + Define(key string, value interface{}) + GetDefinition(key string) (interface{}, bool) +} + +// AgentTemplate defines the structure for creating agents +type AgentTemplate struct { + Name string `json:"name"` + Description string `json:"description"` + Persona map[string]interface{} `json:"persona"` + Background string `json:"background"` + Goals []string `json:"goals"` + Interests []string `json:"interests"` + Skills []string `json:"skills"` + Traits []string `json:"traits"` +} + +// PersonaBuilder helps build agent personas programmatically +type PersonaBuilder struct { + template AgentTemplate +} + +// NewPersonaBuilder creates a new persona builder +func NewPersonaBuilder(name string) *PersonaBuilder { + return &PersonaBuilder{ + template: AgentTemplate{ + Name: name, + Persona: make(map[string]interface{}), + }, + } +} + +// SetDescription sets the agent description +func (pb *PersonaBuilder) SetDescription(description string) *PersonaBuilder { + pb.template.Description = description + return pb +} + +// SetBackground sets the agent background +func (pb *PersonaBuilder) SetBackground(background string) *PersonaBuilder { + pb.template.Background = background + return pb +} + +// AddGoal adds a goal to the agent +func (pb *PersonaBuilder) AddGoal(goal string) *PersonaBuilder { + pb.template.Goals = append(pb.template.Goals, goal) + return pb +} + +// AddGoals adds multiple goals to the agent +func (pb *PersonaBuilder) AddGoals(goals ...string) *PersonaBuilder { + pb.template.Goals = append(pb.template.Goals, goals...) + return pb +} + +// AddInterest adds an interest to the agent +func (pb *PersonaBuilder) AddInterest(interest string) *PersonaBuilder { + pb.template.Interests = append(pb.template.Interests, interest) + return pb +} + +// AddInterests adds multiple interests to the agent +func (pb *PersonaBuilder) AddInterests(interests ...string) *PersonaBuilder { + pb.template.Interests = append(pb.template.Interests, interests...) + return pb +} + +// AddSkill adds a skill to the agent +func (pb *PersonaBuilder) AddSkill(skill string) *PersonaBuilder { + pb.template.Skills = append(pb.template.Skills, skill) + return pb +} + +// AddSkills adds multiple skills to the agent +func (pb *PersonaBuilder) AddSkills(skills ...string) *PersonaBuilder { + pb.template.Skills = append(pb.template.Skills, skills...) + return pb +} + +// AddTrait adds a personality trait to the agent +func (pb *PersonaBuilder) AddTrait(trait string) *PersonaBuilder { + pb.template.Traits = append(pb.template.Traits, trait) + return pb +} + +// AddTraits adds multiple personality traits to the agent +func (pb *PersonaBuilder) AddTraits(traits ...string) *PersonaBuilder { + pb.template.Traits = append(pb.template.Traits, traits...) + return pb +} + +// SetPersonaAttribute sets a custom persona attribute +func (pb *PersonaBuilder) SetPersonaAttribute(key string, value interface{}) *PersonaBuilder { + pb.template.Persona[key] = value + return pb +} + +// Build returns the completed agent template +func (pb *PersonaBuilder) Build() AgentTemplate { + return pb.template +} + +// Common validation errors +var ( + ErrEmptyName = errors.New("agent name cannot be empty") + ErrInvalidPersona = errors.New("persona contains invalid attributes") + ErrTemplateNotFound = errors.New("agent template not found") +) + +// ValidateAgentTemplate validates an agent template +func ValidateAgentTemplate(template AgentTemplate) error { + if template.Name == "" { + return ErrEmptyName + } + + // Add more validation logic as needed + return nil +} + +// AgentTemplateFromJSON creates an agent template from JSON +func AgentTemplateFromJSON(data []byte) (AgentTemplate, error) { + var template AgentTemplate + err := json.Unmarshal(data, &template) + if err != nil { + return template, err + } + + err = ValidateAgentTemplate(template) + return template, err +} + +// AgentTemplateToJSON converts an agent template to JSON +func AgentTemplateToJSON(template AgentTemplate) ([]byte, error) { + return json.MarshalIndent(template, "", " ") +} + +// TODO: Implement concrete agent factory +// This will be implemented in future phases and will integrate with the agent package diff --git a/go/pkg/factory/factory_test.go b/go/pkg/factory/factory_test.go new file mode 100644 index 0000000..6b0256e --- /dev/null +++ b/go/pkg/factory/factory_test.go @@ -0,0 +1,105 @@ +package factory + +import ( + "testing" +) + +func TestPersonaBuilder(t *testing.T) { + builder := NewPersonaBuilder("TestAgent") + template := builder. + SetDescription("Test agent for unit testing"). + SetBackground("Created in a test environment"). + AddGoals("Test goal 1", "Test goal 2"). + AddInterests("Testing", "Quality Assurance"). + AddSkills("Unit Testing", "Integration Testing"). + AddTraits("Methodical", "Detail-oriented"). + SetPersonaAttribute("experience", "5 years"). + Build() + + if template.Name != "TestAgent" { + t.Errorf("Expected name 'TestAgent', got '%s'", template.Name) + } + + if len(template.Goals) != 2 { + t.Errorf("Expected 2 goals, got %d", len(template.Goals)) + } + + if len(template.Interests) != 2 { + t.Errorf("Expected 2 interests, got %d", len(template.Interests)) + } + + if len(template.Skills) != 2 { + t.Errorf("Expected 2 skills, got %d", len(template.Skills)) + } + + if len(template.Traits) != 2 { + t.Errorf("Expected 2 traits, got %d", len(template.Traits)) + } + + if template.Persona["experience"] != "5 years" { + t.Errorf("Expected experience '5 years', got '%v'", template.Persona["experience"]) + } +} + +func TestValidateAgentTemplate(t *testing.T) { + // Test empty name + template := AgentTemplate{} + err := ValidateAgentTemplate(template) + if err != ErrEmptyName { + t.Errorf("Expected ErrEmptyName, got %v", err) + } + + // Test valid template + template.Name = "ValidAgent" + err = ValidateAgentTemplate(template) + if err != nil { + t.Errorf("Expected no error for valid template, got %v", err) + } +} + +func TestAgentTemplateJSON(t *testing.T) { + original := AgentTemplate{ + Name: "JSONTestAgent", + Description: "Agent for JSON testing", + Persona: map[string]interface{}{"key": "value"}, + Background: "Test background", + Goals: []string{"goal1", "goal2"}, + Interests: []string{"interest1"}, + Skills: []string{"skill1"}, + Traits: []string{"trait1"}, + } + + // Test marshal + data, err := AgentTemplateToJSON(original) + if err != nil { + t.Fatalf("Failed to marshal template: %v", err) + } + + // Test unmarshal + parsed, err := AgentTemplateFromJSON(data) + if err != nil { + t.Fatalf("Failed to unmarshal template: %v", err) + } + + // Verify data integrity + if parsed.Name != original.Name { + t.Errorf("Name mismatch: expected '%s', got '%s'", original.Name, parsed.Name) + } + + if len(parsed.Goals) != len(original.Goals) { + t.Errorf("Goals length mismatch: expected %d, got %d", len(original.Goals), len(parsed.Goals)) + } + + if parsed.Persona["key"] != original.Persona["key"] { + t.Errorf("Persona mismatch: expected '%v', got '%v'", original.Persona["key"], parsed.Persona["key"]) + } +} + +func TestAgentTemplateFromInvalidJSON(t *testing.T) { + invalidJSON := []byte(`{"name": "test", "invalid": }`) + + _, err := AgentTemplateFromJSON(invalidJSON) + if err == nil { + t.Error("Expected error for invalid JSON, got none") + } +} diff --git a/go/pkg/memory/memory.go b/go/pkg/memory/memory.go new file mode 100644 index 0000000..dc7fa77 --- /dev/null +++ b/go/pkg/memory/memory.go @@ -0,0 +1,166 @@ +package memory + +import ( + "encoding/json" + "time" +) + +// MemoryItem represents a single memory item +type MemoryItem struct { + Role string `json:"role"` + Content map[string]interface{} `json:"content"` + Type string `json:"type"` + SimulationTimestamp time.Time `json:"simulation_timestamp"` +} + +// EpisodicMemory manages episodic memories for agents +type EpisodicMemory struct { + memories []MemoryItem + currentEpisode []MemoryItem + fixedPrefixLen int + lookbackLen int +} + +// NewEpisodicMemory creates a new episodic memory instance +func NewEpisodicMemory(fixedPrefixLen, lookbackLen int) *EpisodicMemory { + return &EpisodicMemory{ + memories: make([]MemoryItem, 0), + currentEpisode: make([]MemoryItem, 0), + fixedPrefixLen: fixedPrefixLen, + lookbackLen: lookbackLen, + } +} + +// Store adds a memory item to the current episode +func (em *EpisodicMemory) Store(item MemoryItem) { + em.currentEpisode = append(em.currentEpisode, item) +} + +// CommitEpisode commits the current episode to long-term memory +func (em *EpisodicMemory) CommitEpisode() { + if len(em.currentEpisode) > 0 { + em.memories = append(em.memories, em.currentEpisode...) + em.currentEpisode = make([]MemoryItem, 0) + } +} + +// RetrieveRecent gets recent memories for prompting +func (em *EpisodicMemory) RetrieveRecent() []MemoryItem { + allMemories := append(em.memories, em.currentEpisode...) + + if len(allMemories) == 0 { + return []MemoryItem{} + } + + // Return fixed prefix + recent lookback + var result []MemoryItem + + // Add fixed prefix + prefixEnd := em.fixedPrefixLen + if prefixEnd > len(allMemories) { + prefixEnd = len(allMemories) + } + result = append(result, allMemories[:prefixEnd]...) + + // Add recent lookback (avoiding overlap) + if len(allMemories) > em.fixedPrefixLen { + lookbackStart := len(allMemories) - em.lookbackLen + if lookbackStart < em.fixedPrefixLen { + lookbackStart = em.fixedPrefixLen + } + result = append(result, allMemories[lookbackStart:]...) + } + + return result +} + +// Clear removes memories (for testing or amnesia) +func (em *EpisodicMemory) Clear() { + em.memories = make([]MemoryItem, 0) + em.currentEpisode = make([]MemoryItem, 0) +} + +// GetCurrentEpisode returns the current episode +func (em *EpisodicMemory) GetCurrentEpisode() []MemoryItem { + return em.currentEpisode +} + +// ToJSON serializes the memory to JSON +func (em *EpisodicMemory) ToJSON() ([]byte, error) { + data := struct { + Memories []MemoryItem `json:"memories"` + CurrentEpisode []MemoryItem `json:"current_episode"` + FixedPrefixLen int `json:"fixed_prefix_len"` + LookbackLen int `json:"lookback_len"` + }{ + Memories: em.memories, + CurrentEpisode: em.currentEpisode, + FixedPrefixLen: em.fixedPrefixLen, + LookbackLen: em.lookbackLen, + } + return json.Marshal(data) +} + +// FromJSON deserializes memory from JSON +func (em *EpisodicMemory) FromJSON(data []byte) error { + var temp struct { + Memories []MemoryItem `json:"memories"` + CurrentEpisode []MemoryItem `json:"current_episode"` + FixedPrefixLen int `json:"fixed_prefix_len"` + LookbackLen int `json:"lookback_len"` + } + + if err := json.Unmarshal(data, &temp); err != nil { + return err + } + + em.memories = temp.Memories + em.currentEpisode = temp.CurrentEpisode + em.fixedPrefixLen = temp.FixedPrefixLen + em.lookbackLen = temp.LookbackLen + + return nil +} + +// SemanticMemory manages semantic/long-term memories +type SemanticMemory struct { + memories []string +} + +// NewSemanticMemory creates a new semantic memory instance +func NewSemanticMemory() *SemanticMemory { + return &SemanticMemory{ + memories: make([]string, 0), + } +} + +// Store adds a semantic memory +func (sm *SemanticMemory) Store(memory string) { + sm.memories = append(sm.memories, memory) +} + +// StoreAll adds multiple semantic memories +func (sm *SemanticMemory) StoreAll(memories []string) { + sm.memories = append(sm.memories, memories...) +} + +// RetrieveRelevant finds relevant memories (simplified version) +func (sm *SemanticMemory) RetrieveRelevant(query string, topK int) []string { + // TODO: Implement proper semantic search with embeddings + // For now, return most recent memories + start := len(sm.memories) - topK + if start < 0 { + start = 0 + } + return sm.memories[start:] +} + +// ToJSON serializes semantic memory to JSON +func (sm *SemanticMemory) ToJSON() ([]byte, error) { + return json.Marshal(sm.memories) +} + +// FromJSON deserializes semantic memory from JSON +func (sm *SemanticMemory) FromJSON(data []byte) error { + return json.Unmarshal(data, &sm.memories) +} diff --git a/go/pkg/memory/memory_test.go b/go/pkg/memory/memory_test.go new file mode 100644 index 0000000..ee1b30b --- /dev/null +++ b/go/pkg/memory/memory_test.go @@ -0,0 +1,161 @@ +package memory + +import ( + "testing" + "time" +) + +func TestEpisodicMemoryBasics(t *testing.T) { + memory := NewEpisodicMemory(5, 10) + + // Test empty memory + recent := memory.RetrieveRecent() + if len(recent) != 0 { + t.Errorf("Expected empty memory, got %d items", len(recent)) + } + + // Add some memories + for i := 0; i < 3; i++ { + item := MemoryItem{ + Role: "user", + Content: map[string]interface{}{"test": i}, + Type: "stimulus", + SimulationTimestamp: time.Now(), + } + memory.Store(item) + } + + // Check current episode + episode := memory.GetCurrentEpisode() + if len(episode) != 3 { + t.Errorf("Expected 3 items in current episode, got %d", len(episode)) + } + + // Commit episode + memory.CommitEpisode() + + // Check that episode was committed + if len(memory.memories) != 3 { + t.Errorf("Expected 3 committed memories, got %d", len(memory.memories)) + } + + if len(memory.GetCurrentEpisode()) != 0 { + t.Errorf("Expected empty current episode after commit") + } +} + +func TestEpisodicMemoryRetrieval(t *testing.T) { + memory := NewEpisodicMemory(2, 3) + + // Add more memories than the limits + for i := 0; i < 10; i++ { + item := MemoryItem{ + Role: "user", + Content: map[string]interface{}{"index": i}, + Type: "stimulus", + SimulationTimestamp: time.Now(), + } + memory.Store(item) + } + + recent := memory.RetrieveRecent() + + // Should get prefix (2) + lookback (3) = 5 items maximum + // But since we have 10 items total, we should get 2 (prefix) + 3 (recent) = 5 + if len(recent) > 5 { + t.Errorf("Expected at most 5 recent items, got %d", len(recent)) + } + + // Check that we get the first 2 (prefix) and last 3 (lookback) + if len(recent) > 0 { + // First item should be index 0 + if content, ok := recent[0].Content["index"].(int); !ok || content != 0 { + t.Errorf("Expected first item to have index 0") + } + + // Last item should be index 9 + if content, ok := recent[len(recent)-1].Content["index"].(int); !ok || content != 9 { + t.Errorf("Expected last item to have index 9") + } + } +} + +func TestSemanticMemoryBasics(t *testing.T) { + memory := NewSemanticMemory() + + // Test empty memory + relevant := memory.RetrieveRelevant("test query", 5) + if len(relevant) != 0 { + t.Errorf("Expected empty memory, got %d items", len(relevant)) + } + + // Add some memories + memories := []string{ + "Alice likes programming", + "Bob enjoys cooking", + "Charlie loves reading", + "Diana practices music", + } + + memory.StoreAll(memories) + + // Test retrieval (should return most recent) + relevant = memory.RetrieveRelevant("test query", 2) + if len(relevant) != 2 { + t.Errorf("Expected 2 relevant memories, got %d", len(relevant)) + } + + // Should return the last 2 memories + expected := []string{"Charlie loves reading", "Diana practices music"} + for i, expected_item := range expected { + if relevant[i] != expected_item { + t.Errorf("Expected '%s', got '%s'", expected_item, relevant[i]) + } + } +} + +func TestMemorySerialization(t *testing.T) { + // Test episodic memory serialization + episodic := NewEpisodicMemory(2, 3) + item := MemoryItem{ + Role: "user", + Content: map[string]interface{}{"test": "data"}, + Type: "stimulus", + SimulationTimestamp: time.Now(), + } + episodic.Store(item) + + data, err := episodic.ToJSON() + if err != nil { + t.Fatalf("Failed to serialize episodic memory: %v", err) + } + + newEpisodic := NewEpisodicMemory(0, 0) + err = newEpisodic.FromJSON(data) + if err != nil { + t.Fatalf("Failed to deserialize episodic memory: %v", err) + } + + if len(newEpisodic.GetCurrentEpisode()) != 1 { + t.Errorf("Expected 1 item after deserialization, got %d", len(newEpisodic.GetCurrentEpisode())) + } + + // Test semantic memory serialization + semantic := NewSemanticMemory() + semantic.Store("test memory") + + data, err = semantic.ToJSON() + if err != nil { + t.Fatalf("Failed to serialize semantic memory: %v", err) + } + + newSemantic := NewSemanticMemory() + err = newSemantic.FromJSON(data) + if err != nil { + t.Fatalf("Failed to deserialize semantic memory: %v", err) + } + + if len(newSemantic.memories) != 1 || newSemantic.memories[0] != "test memory" { + t.Errorf("Semantic memory not properly deserialized") + } +} diff --git a/go/pkg/mod/cache/download/github.com/sashabaranov/go-openai/@v/list b/go/pkg/mod/cache/download/github.com/sashabaranov/go-openai/@v/list new file mode 100644 index 0000000..3dc58cd --- /dev/null +++ b/go/pkg/mod/cache/download/github.com/sashabaranov/go-openai/@v/list @@ -0,0 +1 @@ +v1.40.5 diff --git a/go/pkg/mod/cache/download/github.com/sashabaranov/go-openai/@v/v1.40.5.info b/go/pkg/mod/cache/download/github.com/sashabaranov/go-openai/@v/v1.40.5.info new file mode 100644 index 0000000..4a2a706 --- /dev/null +++ b/go/pkg/mod/cache/download/github.com/sashabaranov/go-openai/@v/v1.40.5.info @@ -0,0 +1 @@ +{"Version":"v1.40.5","Time":"2025-07-11T15:18:23Z","Origin":{"VCS":"git","URL":"https://github.com/sashabaranov/go-openai","Hash":"8d681e7f9a8f172168199f29e8e1f16701d6817a","Ref":"refs/tags/v1.40.5"}} \ No newline at end of file diff --git a/go/pkg/mod/cache/download/github.com/sashabaranov/go-openai/@v/v1.40.5.lock b/go/pkg/mod/cache/download/github.com/sashabaranov/go-openai/@v/v1.40.5.lock new file mode 100644 index 0000000..e69de29 diff --git a/go/pkg/mod/cache/download/github.com/sashabaranov/go-openai/@v/v1.40.5.mod b/go/pkg/mod/cache/download/github.com/sashabaranov/go-openai/@v/v1.40.5.mod new file mode 100644 index 0000000..42cc7b3 --- /dev/null +++ b/go/pkg/mod/cache/download/github.com/sashabaranov/go-openai/@v/v1.40.5.mod @@ -0,0 +1,3 @@ +module github.com/sashabaranov/go-openai + +go 1.18 diff --git a/go/pkg/mod/cache/download/github.com/sashabaranov/go-openai/@v/v1.40.5.zip b/go/pkg/mod/cache/download/github.com/sashabaranov/go-openai/@v/v1.40.5.zip new file mode 100644 index 0000000..2815783 Binary files /dev/null and b/go/pkg/mod/cache/download/github.com/sashabaranov/go-openai/@v/v1.40.5.zip differ diff --git a/go/pkg/mod/cache/download/github.com/sashabaranov/go-openai/@v/v1.40.5.ziphash b/go/pkg/mod/cache/download/github.com/sashabaranov/go-openai/@v/v1.40.5.ziphash new file mode 100644 index 0000000..4ba9524 --- /dev/null +++ b/go/pkg/mod/cache/download/github.com/sashabaranov/go-openai/@v/v1.40.5.ziphash @@ -0,0 +1 @@ +h1:SwIlNdWflzR1Rxd1gv3pUg6pwPc6cQ2uMoHs8ai+/NY= \ No newline at end of file diff --git a/go/pkg/mod/cache/lock b/go/pkg/mod/cache/lock new file mode 100644 index 0000000..e69de29 diff --git a/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/.codecov.yml b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/.codecov.yml new file mode 100644 index 0000000..8177366 --- /dev/null +++ b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/.codecov.yml @@ -0,0 +1,4 @@ +coverage: + ignore: + - "examples/**" + - "internal/test/**" diff --git a/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/.github/FUNDING.yml b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/.github/FUNDING.yml new file mode 100644 index 0000000..e36c382 --- /dev/null +++ b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/.github/FUNDING.yml @@ -0,0 +1,3 @@ +# These are supported funding model platforms + +github: [sashabaranov, vvatanabe] diff --git a/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/.github/ISSUE_TEMPLATE/bug_report.md b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/.github/ISSUE_TEMPLATE/bug_report.md new file mode 100644 index 0000000..536a2ee --- /dev/null +++ b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/.github/ISSUE_TEMPLATE/bug_report.md @@ -0,0 +1,32 @@ +--- +name: Bug report +about: Create a report to help us improve +title: '' +labels: bug +assignees: '' + +--- + +Your issue may already be reported! +Please search on the [issue tracker](https://github.com/sashabaranov/go-openai/issues) before creating one. + +**Describe the bug** +A clear and concise description of what the bug is. If it's an API-related bug, please provide relevant endpoint(s). + +**To Reproduce** +Steps to reproduce the behavior, including any relevant code snippets. + +**Expected behavior** +A clear and concise description of what you expected to happen. + +**Screenshots/Logs** +If applicable, add screenshots to help explain your problem. For non-graphical issues, please provide any relevant logs or stack traces. + +**Environment (please complete the following information):** + - go-openai version: [e.g. v1.12.0] + - Go version: [e.g. 1.18] + - OpenAI API version: [e.g. v1] + - OS: [e.g. Ubuntu 20.04] + +**Additional context** +Add any other context about the problem here. diff --git a/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/.github/ISSUE_TEMPLATE/feature_request.md b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/.github/ISSUE_TEMPLATE/feature_request.md new file mode 100644 index 0000000..2359e5c --- /dev/null +++ b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/.github/ISSUE_TEMPLATE/feature_request.md @@ -0,0 +1,23 @@ +--- +name: Feature request +about: Suggest an idea for this project +title: '' +labels: enhancement +assignees: '' + +--- + +Your issue may already be reported! +Please search on the [issue tracker](https://github.com/sashabaranov/go-openai/issues) before creating one. + +**Is your feature request related to a problem? Please describe.** +A clear and concise description of what the problem is. Ex. I'm always frustrated when [...] + +**Describe the solution you'd like** +A clear and concise description of what you want to happen. + +**Describe alternatives you've considered** +A clear and concise description of any alternative solutions or features you've considered. + +**Additional context** +Add any other context or screenshots about the feature request here. diff --git a/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/.github/PULL_REQUEST_TEMPLATE.md b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/.github/PULL_REQUEST_TEMPLATE.md new file mode 100644 index 0000000..222c065 --- /dev/null +++ b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/.github/PULL_REQUEST_TEMPLATE.md @@ -0,0 +1,23 @@ +A similar PR may already be submitted! +Please search among the [Pull request](https://github.com/sashabaranov/go-openai/pulls) before creating one. + +If your changes introduce breaking changes, please prefix the title of your pull request with "[BREAKING_CHANGES]". This allows for clear identification of such changes in the 'What's Changed' section on the release page, making it developer-friendly. + +Thanks for submitting a pull request! Please provide enough information so that others can review your pull request. + +**Describe the change** +Please provide a clear and concise description of the changes you're proposing. Explain what problem it solves or what feature it adds. + +**Provide OpenAI documentation link** +Provide a relevant API doc from https://platform.openai.com/docs/api-reference + +**Describe your solution** +Describe how your changes address the problem or how they add the feature. This should include a brief description of your approach and any new libraries or dependencies you're using. + +**Tests** +Briefly describe how you have tested these changes. If possible — please add integration tests. + +**Additional context** +Add any other context or screenshots or logs about your pull request here. If the pull request relates to an open issue, please link to it. + +Issue: #XXXX diff --git a/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/.github/workflows/close-inactive-issues.yml b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/.github/workflows/close-inactive-issues.yml new file mode 100644 index 0000000..32723c4 --- /dev/null +++ b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/.github/workflows/close-inactive-issues.yml @@ -0,0 +1,23 @@ +name: Close inactive issues +on: + schedule: + - cron: "30 1 * * *" + +jobs: + close-issues: + runs-on: ubuntu-latest + permissions: + issues: write + pull-requests: write + steps: + - uses: actions/stale@v9 + with: + days-before-issue-stale: 30 + days-before-issue-close: 14 + stale-issue-label: "stale" + exempt-issue-labels: 'bug,enhancement' + stale-issue-message: "This issue is stale because it has been open for 30 days with no activity." + close-issue-message: "This issue was closed because it has been inactive for 14 days since being marked as stale." + days-before-pr-stale: -1 + days-before-pr-close: -1 + repo-token: ${{ secrets.GITHUB_TOKEN }} \ No newline at end of file diff --git a/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/.github/workflows/integration-tests.yml b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/.github/workflows/integration-tests.yml new file mode 100644 index 0000000..7260b00 --- /dev/null +++ b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/.github/workflows/integration-tests.yml @@ -0,0 +1,21 @@ +name: Integration tests + +on: + push: + branches: + - master + +jobs: + integration_tests: + name: Run integration tests + runs-on: ubuntu-latest + steps: + - uses: actions/checkout@v4 + - name: Setup Go + uses: actions/setup-go@v5 + with: + go-version: '1.21' + - name: Run integration tests + env: + OPENAI_TOKEN: ${{ secrets.OPENAI_TOKEN }} + run: go test -v -tags=integration ./api_integration_test.go diff --git a/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/.github/workflows/pr.yml b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/.github/workflows/pr.yml new file mode 100644 index 0000000..18c720f --- /dev/null +++ b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/.github/workflows/pr.yml @@ -0,0 +1,29 @@ +name: Sanity check + +on: + - push + - pull_request + +jobs: + prcheck: + name: Sanity check + runs-on: ubuntu-latest + steps: + - uses: actions/checkout@v4 + - name: Setup Go + uses: actions/setup-go@v5 + with: + go-version: '1.24' + - name: Run vet + run: | + go vet . + - name: Run golangci-lint + uses: golangci/golangci-lint-action@v7 + with: + version: v2.1.5 + - name: Run tests + run: go test -race -covermode=atomic -coverprofile=coverage.out -v ./... + - name: Upload coverage reports to Codecov + uses: codecov/codecov-action@v5 + with: + token: ${{ secrets.CODECOV_TOKEN }} diff --git a/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/.gitignore b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/.gitignore new file mode 100644 index 0000000..b0ac160 --- /dev/null +++ b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/.gitignore @@ -0,0 +1,22 @@ +# Binaries for programs and plugins +*.exe +*.exe~ +*.dll +*.so +*.dylib + +# Test binary, built with `go test -c` +*.test + +# Output of the go coverage tool, specifically when used with LiteIDE +*.out + +# Dependency directories (remove the comment below to include it) +# vendor/ + +# Auth token for tests +.openai-token +.idea + +# Generated by tests +test.mp3 \ No newline at end of file diff --git a/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/.golangci.yml b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/.golangci.yml new file mode 100644 index 0000000..6391ad7 --- /dev/null +++ b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/.golangci.yml @@ -0,0 +1,168 @@ +version: "2" +linters: + default: none + enable: + - asciicheck + - bidichk + - bodyclose + - contextcheck + - cyclop + - dupl + - durationcheck + - errcheck + - errname + - errorlint + - exhaustive + - forbidigo + - funlen + - gochecknoinits + - gocognit + - goconst + - gocritic + - gocyclo + - godot + - gomoddirectives + - gomodguard + - goprintffuncname + - gosec + - govet + - ineffassign + - lll + - makezero + - mnd + - nestif + - nilerr + - nilnil + - nolintlint + - nosprintfhostport + - predeclared + - promlinter + - revive + - rowserrcheck + - sqlclosecheck + - staticcheck + - testpackage + - tparallel + - unconvert + - unparam + - unused + - usetesting + - wastedassign + - whitespace + settings: + cyclop: + max-complexity: 30 + package-average: 10 + errcheck: + check-type-assertions: true + funlen: + lines: 100 + statements: 50 + gocognit: + min-complexity: 20 + gocritic: + settings: + captLocal: + paramsOnly: false + underef: + skipRecvDeref: false + gomodguard: + blocked: + modules: + - github.com/golang/protobuf: + recommendations: + - google.golang.org/protobuf + reason: see https://developers.google.com/protocol-buffers/docs/reference/go/faq#modules + - github.com/satori/go.uuid: + recommendations: + - github.com/google/uuid + reason: satori's package is not maintained + - github.com/gofrs/uuid: + recommendations: + - github.com/google/uuid + reason: 'see recommendation from dev-infra team: https://confluence.gtforge.com/x/gQI6Aw' + govet: + disable: + - fieldalignment + enable-all: true + settings: + shadow: + strict: true + mnd: + ignored-functions: + - os.Chmod + - os.Mkdir + - os.MkdirAll + - os.OpenFile + - os.WriteFile + - prometheus.ExponentialBuckets + - prometheus.ExponentialBucketsRange + - prometheus.LinearBuckets + - strconv.FormatFloat + - strconv.FormatInt + - strconv.FormatUint + - strconv.ParseFloat + - strconv.ParseInt + - strconv.ParseUint + nakedret: + max-func-lines: 0 + nolintlint: + require-explanation: true + require-specific: true + allow-no-explanation: + - funlen + - gocognit + - lll + rowserrcheck: + packages: + - github.com/jmoiron/sqlx + exclusions: + generated: lax + presets: + - comments + - common-false-positives + - legacy + - std-error-handling + rules: + - linters: + - forbidigo + - mnd + - revive + path : ^examples/.*\.go$ + - linters: + - lll + source: ^//\s*go:generate\s + - linters: + - godot + source: (noinspection|TODO) + - linters: + - gocritic + source: //noinspection + - linters: + - errorlint + source: ^\s+if _, ok := err\.\([^.]+\.InternalError\); ok { + - linters: + - bodyclose + - dupl + - funlen + - goconst + - gosec + - noctx + - wrapcheck + - staticcheck + path: _test\.go + paths: + - third_party$ + - builtin$ + - examples$ +issues: + max-same-issues: 50 +formatters: + enable: + - goimports + exclusions: + generated: lax + paths: + - third_party$ + - builtin$ + - examples$ diff --git a/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/CONTRIBUTING.md b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/CONTRIBUTING.md new file mode 100644 index 0000000..4dd1840 --- /dev/null +++ b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/CONTRIBUTING.md @@ -0,0 +1,88 @@ +# Contributing Guidelines + +## Overview +Thank you for your interest in contributing to the "Go OpenAI" project! By following this guideline, we hope to ensure that your contributions are made smoothly and efficiently. The Go OpenAI project is licensed under the [Apache 2.0 License](https://github.com/sashabaranov/go-openai/blob/master/LICENSE), and we welcome contributions through GitHub pull requests. + +## Reporting Bugs +If you discover a bug, first check the [GitHub Issues page](https://github.com/sashabaranov/go-openai/issues) to see if the issue has already been reported. If you're reporting a new issue, please use the "Bug report" template and provide detailed information about the problem, including steps to reproduce it. + +## Suggesting Features +If you want to suggest a new feature or improvement, first check the [GitHub Issues page](https://github.com/sashabaranov/go-openai/issues) to ensure a similar suggestion hasn't already been made. Use the "Feature request" template to provide a detailed description of your suggestion. + +## Reporting Vulnerabilities +If you identify a security concern, please use the "Report a security vulnerability" template on the [GitHub Issues page](https://github.com/sashabaranov/go-openai/issues) to share the details. This report will only be viewable to repository maintainers. You will be credited if the advisory is published. + +## Questions for Users +If you have questions, please utilize [StackOverflow](https://stackoverflow.com/) or the [GitHub Discussions page](https://github.com/sashabaranov/go-openai/discussions). + +## Contributing Code +There might already be a similar pull requests submitted! Please search for [pull requests](https://github.com/sashabaranov/go-openai/pulls) before creating one. + +### Requirements for Merging a Pull Request + +The requirements to accept a pull request are as follows: + +- Features not provided by the OpenAI API will not be accepted. +- The functionality of the feature must match that of the official OpenAI API. +- All pull requests should be written in Go according to common conventions, formatted with `goimports`, and free of warnings from tools like `golangci-lint`. +- Include tests and ensure all tests pass. +- Maintain test coverage without any reduction. +- All pull requests require approval from at least one Go OpenAI maintainer. + +**Note:** +The merging method for pull requests in this repository is squash merge. + +### Creating a Pull Request +- Fork the repository. +- Create a new branch and commit your changes. +- Push that branch to GitHub. +- Start a new Pull Request on GitHub. (Please use the pull request template to provide detailed information.) + +**Note:** +If your changes introduce breaking changes, please prefix your pull request title with "[BREAKING_CHANGES]". + +### Code Style +In this project, we adhere to the standard coding style of Go. Your code should maintain consistency with the rest of the codebase. To achieve this, please format your code using tools like `goimports` and resolve any syntax or style issues with `golangci-lint`. + +**Run goimports:** +``` +go install golang.org/x/tools/cmd/goimports@latest +``` + +``` +goimports -w . +``` + +**Run golangci-lint:** +``` +go install github.com/golangci/golangci-lint/cmd/golangci-lint@latest +``` + +``` +golangci-lint run --out-format=github-actions +``` + +### Unit Test +Please create or update tests relevant to your changes. Ensure all tests run successfully to verify that your modifications do not adversely affect other functionalities. + +**Run test:** +``` +go test -v ./... +``` + +### Integration Test +Integration tests are requested against the production version of the OpenAI API. These tests will verify that the library is properly coded against the actual behavior of the API, and will fail upon any incompatible change in the API. + +**Notes:** +These tests send real network traffic to the OpenAI API and may reach rate limits. Temporary network problems may also cause the test to fail. + +**Run integration test:** +``` +OPENAI_TOKEN=XXX go test -v -tags=integration ./api_integration_test.go +``` + +If the `OPENAI_TOKEN` environment variable is not available, integration tests will be skipped. + +--- + +We wholeheartedly welcome your active participation. 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We support: + +* ChatGPT 4o, o1 +* GPT-3, GPT-4 +* DALL·E 2, DALL·E 3, GPT Image 1 +* Whisper + +## Installation + +``` +go get github.com/sashabaranov/go-openai +``` +Currently, go-openai requires Go version 1.18 or greater. + + +## Usage + +### ChatGPT example usage: + +```go +package main + +import ( + "context" + "fmt" + openai "github.com/sashabaranov/go-openai" +) + +func main() { + client := openai.NewClient("your token") + resp, err := client.CreateChatCompletion( + context.Background(), + openai.ChatCompletionRequest{ + Model: openai.GPT3Dot5Turbo, + Messages: []openai.ChatCompletionMessage{ + { + Role: openai.ChatMessageRoleUser, + Content: "Hello!", + }, + }, + }, + ) + + if err != nil { + fmt.Printf("ChatCompletion error: %v\n", err) + return + } + + fmt.Println(resp.Choices[0].Message.Content) +} + +``` + +### Getting an OpenAI API Key: + +1. Visit the OpenAI website at [https://platform.openai.com/account/api-keys](https://platform.openai.com/account/api-keys). +2. If you don't have an account, click on "Sign Up" to create one. If you do, click "Log In". +3. Once logged in, navigate to your API key management page. +4. Click on "Create new secret key". +5. Enter a name for your new key, then click "Create secret key". +6. Your new API key will be displayed. Use this key to interact with the OpenAI API. + +**Note:** Your API key is sensitive information. Do not share it with anyone. + +### Other examples: + +
+ChatGPT streaming completion + +```go +package main + +import ( + "context" + "errors" + "fmt" + "io" + openai "github.com/sashabaranov/go-openai" +) + +func main() { + c := openai.NewClient("your token") + ctx := context.Background() + + req := openai.ChatCompletionRequest{ + Model: openai.GPT3Dot5Turbo, + MaxTokens: 20, + Messages: []openai.ChatCompletionMessage{ + { + Role: openai.ChatMessageRoleUser, + Content: "Lorem ipsum", + }, + }, + Stream: true, + } + stream, err := c.CreateChatCompletionStream(ctx, req) + if err != nil { + fmt.Printf("ChatCompletionStream error: %v\n", err) + return + } + defer stream.Close() + + fmt.Printf("Stream response: ") + for { + response, err := stream.Recv() + if errors.Is(err, io.EOF) { + fmt.Println("\nStream finished") + return + } + + if err != nil { + fmt.Printf("\nStream error: %v\n", err) + return + } + + fmt.Printf(response.Choices[0].Delta.Content) + } +} +``` +
+ +
+GPT-3 completion + +```go +package main + +import ( + "context" + "fmt" + openai "github.com/sashabaranov/go-openai" +) + +func main() { + c := openai.NewClient("your token") + ctx := context.Background() + + req := openai.CompletionRequest{ + Model: openai.GPT3Babbage002, + MaxTokens: 5, + Prompt: "Lorem ipsum", + } + resp, err := c.CreateCompletion(ctx, req) + if err != nil { + fmt.Printf("Completion error: %v\n", err) + return + } + fmt.Println(resp.Choices[0].Text) +} +``` +
+ +
+GPT-3 streaming completion + +```go +package main + +import ( + "errors" + "context" + "fmt" + "io" + openai "github.com/sashabaranov/go-openai" +) + +func main() { + c := openai.NewClient("your token") + ctx := context.Background() + + req := openai.CompletionRequest{ + Model: openai.GPT3Babbage002, + MaxTokens: 5, + Prompt: "Lorem ipsum", + Stream: true, + } + stream, err := c.CreateCompletionStream(ctx, req) + if err != nil { + fmt.Printf("CompletionStream error: %v\n", err) + return + } + defer stream.Close() + + for { + response, err := stream.Recv() + if errors.Is(err, io.EOF) { + fmt.Println("Stream finished") + return + } + + if err != nil { + fmt.Printf("Stream error: %v\n", err) + return + } + + + fmt.Printf("Stream response: %v\n", response) + } +} +``` +
+ +
+Audio Speech-To-Text + +```go +package main + +import ( + "context" + "fmt" + + openai "github.com/sashabaranov/go-openai" +) + +func main() { + c := openai.NewClient("your token") + ctx := context.Background() + + req := openai.AudioRequest{ + Model: openai.Whisper1, + FilePath: "recording.mp3", + } + resp, err := c.CreateTranscription(ctx, req) + if err != nil { + fmt.Printf("Transcription error: %v\n", err) + return + } + fmt.Println(resp.Text) +} +``` +
+ +
+Audio Captions + +```go +package main + +import ( + "context" + "fmt" + "os" + + openai "github.com/sashabaranov/go-openai" +) + +func main() { + c := openai.NewClient(os.Getenv("OPENAI_KEY")) + + req := openai.AudioRequest{ + Model: openai.Whisper1, + FilePath: os.Args[1], + Format: openai.AudioResponseFormatSRT, + } + resp, err := c.CreateTranscription(context.Background(), req) + if err != nil { + fmt.Printf("Transcription error: %v\n", err) + return + } + f, err := os.Create(os.Args[1] + ".srt") + if err != nil { + fmt.Printf("Could not open file: %v\n", err) + return + } + defer f.Close() + if _, err := f.WriteString(resp.Text); err != nil { + fmt.Printf("Error writing to file: %v\n", err) + return + } +} +``` +
+ +
+DALL-E 2 image generation + +```go +package main + +import ( + "bytes" + "context" + "encoding/base64" + "fmt" + openai "github.com/sashabaranov/go-openai" + "image/png" + "os" +) + +func main() { + c := openai.NewClient("your token") + ctx := context.Background() + + // Sample image by link + reqUrl := openai.ImageRequest{ + Prompt: "Parrot on a skateboard performs a trick, cartoon style, natural light, high detail", + Size: openai.CreateImageSize256x256, + ResponseFormat: openai.CreateImageResponseFormatURL, + N: 1, + } + + respUrl, err := c.CreateImage(ctx, reqUrl) + if err != nil { + fmt.Printf("Image creation error: %v\n", err) + return + } + fmt.Println(respUrl.Data[0].URL) + + // Example image as base64 + reqBase64 := openai.ImageRequest{ + Prompt: "Portrait of a humanoid parrot in a classic costume, high detail, realistic light, unreal engine", + Size: openai.CreateImageSize256x256, + ResponseFormat: openai.CreateImageResponseFormatB64JSON, + N: 1, + } + + respBase64, err := c.CreateImage(ctx, reqBase64) + if err != nil { + fmt.Printf("Image creation error: %v\n", err) + return + } + + imgBytes, err := base64.StdEncoding.DecodeString(respBase64.Data[0].B64JSON) + if err != nil { + fmt.Printf("Base64 decode error: %v\n", err) + return + } + + r := bytes.NewReader(imgBytes) + imgData, err := png.Decode(r) + if err != nil { + fmt.Printf("PNG decode error: %v\n", err) + return + } + + file, err := os.Create("example.png") + if err != nil { + fmt.Printf("File creation error: %v\n", err) + return + } + defer file.Close() + + if err := png.Encode(file, imgData); err != nil { + fmt.Printf("PNG encode error: %v\n", err) + return + } + + fmt.Println("The image was saved as example.png") +} + +``` +
+ +
+GPT Image 1 image generation + +```go +package main + +import ( + "context" + "encoding/base64" + "fmt" + "os" + + openai "github.com/sashabaranov/go-openai" +) + +func main() { + c := openai.NewClient("your token") + ctx := context.Background() + + req := openai.ImageRequest{ + Prompt: "Parrot on a skateboard performing a trick. Large bold text \"SKATE MASTER\" banner at the bottom of the image. Cartoon style, natural light, high detail, 1:1 aspect ratio.", + Background: openai.CreateImageBackgroundOpaque, + Model: openai.CreateImageModelGptImage1, + Size: openai.CreateImageSize1024x1024, + N: 1, + Quality: openai.CreateImageQualityLow, + OutputCompression: 100, + OutputFormat: openai.CreateImageOutputFormatJPEG, + // Moderation: openai.CreateImageModerationLow, + // User: "", + } + + resp, err := c.CreateImage(ctx, req) + if err != nil { + fmt.Printf("Image creation Image generation with GPT Image 1error: %v\n", err) + return + } + + fmt.Println("Image Base64:", resp.Data[0].B64JSON) + + // Decode the base64 data + imgBytes, err := base64.StdEncoding.DecodeString(resp.Data[0].B64JSON) + if err != nil { + fmt.Printf("Base64 decode error: %v\n", err) + return + } + + // Write image to file + outputPath := "generated_image.jpg" + err = os.WriteFile(outputPath, imgBytes, 0644) + if err != nil { + fmt.Printf("Failed to write image file: %v\n", err) + return + } + + fmt.Printf("The image was saved as %s\n", outputPath) +} +``` +
+ +
+Configuring proxy + +```go +config := openai.DefaultConfig("token") +proxyUrl, err := url.Parse("http://localhost:{port}") +if err != nil { + panic(err) +} +transport := &http.Transport{ + Proxy: http.ProxyURL(proxyUrl), +} +config.HTTPClient = &http.Client{ + Transport: transport, +} + +c := openai.NewClientWithConfig(config) +``` + +See also: https://pkg.go.dev/github.com/sashabaranov/go-openai#ClientConfig +
+ +
+ChatGPT support context + +```go +package main + +import ( + "bufio" + "context" + "fmt" + "os" + "strings" + + "github.com/sashabaranov/go-openai" +) + +func main() { + client := openai.NewClient("your token") + messages := make([]openai.ChatCompletionMessage, 0) + reader := bufio.NewReader(os.Stdin) + fmt.Println("Conversation") + fmt.Println("---------------------") + + for { + fmt.Print("-> ") + text, _ := reader.ReadString('\n') + // convert CRLF to LF + text = strings.Replace(text, "\n", "", -1) + messages = append(messages, openai.ChatCompletionMessage{ + Role: openai.ChatMessageRoleUser, + Content: text, + }) + + resp, err := client.CreateChatCompletion( + context.Background(), + openai.ChatCompletionRequest{ + Model: openai.GPT3Dot5Turbo, + Messages: messages, + }, + ) + + if err != nil { + fmt.Printf("ChatCompletion error: %v\n", err) + continue + } + + content := resp.Choices[0].Message.Content + messages = append(messages, openai.ChatCompletionMessage{ + Role: openai.ChatMessageRoleAssistant, + Content: content, + }) + fmt.Println(content) + } +} +``` +
+ +
+Azure OpenAI ChatGPT + +```go +package main + +import ( + "context" + "fmt" + + openai "github.com/sashabaranov/go-openai" +) + +func main() { + config := openai.DefaultAzureConfig("your Azure OpenAI Key", "https://your Azure OpenAI Endpoint") + // If you use a deployment name different from the model name, you can customize the AzureModelMapperFunc function + // config.AzureModelMapperFunc = func(model string) string { + // azureModelMapping := map[string]string{ + // "gpt-3.5-turbo": "your gpt-3.5-turbo deployment name", + // } + // return azureModelMapping[model] + // } + + client := openai.NewClientWithConfig(config) + resp, err := client.CreateChatCompletion( + context.Background(), + openai.ChatCompletionRequest{ + Model: openai.GPT3Dot5Turbo, + Messages: []openai.ChatCompletionMessage{ + { + Role: openai.ChatMessageRoleUser, + Content: "Hello Azure OpenAI!", + }, + }, + }, + ) + if err != nil { + fmt.Printf("ChatCompletion error: %v\n", err) + return + } + + fmt.Println(resp.Choices[0].Message.Content) +} + +``` +
+ +
+Embedding Semantic Similarity + +```go +package main + +import ( + "context" + "log" + openai "github.com/sashabaranov/go-openai" + +) + +func main() { + client := openai.NewClient("your-token") + + // Create an EmbeddingRequest for the user query + queryReq := openai.EmbeddingRequest{ + Input: []string{"How many chucks would a woodchuck chuck"}, + Model: openai.AdaEmbeddingV2, + } + + // Create an embedding for the user query + queryResponse, err := client.CreateEmbeddings(context.Background(), queryReq) + if err != nil { + log.Fatal("Error creating query embedding:", err) + } + + // Create an EmbeddingRequest for the target text + targetReq := openai.EmbeddingRequest{ + Input: []string{"How many chucks would a woodchuck chuck if the woodchuck could chuck wood"}, + Model: openai.AdaEmbeddingV2, + } + + // Create an embedding for the target text + targetResponse, err := client.CreateEmbeddings(context.Background(), targetReq) + if err != nil { + log.Fatal("Error creating target embedding:", err) + } + + // Now that we have the embeddings for the user query and the target text, we + // can calculate their similarity. + queryEmbedding := queryResponse.Data[0] + targetEmbedding := targetResponse.Data[0] + + similarity, err := queryEmbedding.DotProduct(&targetEmbedding) + if err != nil { + log.Fatal("Error calculating dot product:", err) + } + + log.Printf("The similarity score between the query and the target is %f", similarity) +} + +``` +
+ +
+Azure OpenAI Embeddings + +```go +package main + +import ( + "context" + "fmt" + + openai "github.com/sashabaranov/go-openai" +) + +func main() { + + config := openai.DefaultAzureConfig("your Azure OpenAI Key", "https://your Azure OpenAI Endpoint") + config.APIVersion = "2023-05-15" // optional update to latest API version + + //If you use a deployment name different from the model name, you can customize the AzureModelMapperFunc function + //config.AzureModelMapperFunc = func(model string) string { + // azureModelMapping := map[string]string{ + // "gpt-3.5-turbo":"your gpt-3.5-turbo deployment name", + // } + // return azureModelMapping[model] + //} + + input := "Text to vectorize" + + client := openai.NewClientWithConfig(config) + resp, err := client.CreateEmbeddings( + context.Background(), + openai.EmbeddingRequest{ + Input: []string{input}, + Model: openai.AdaEmbeddingV2, + }) + + if err != nil { + fmt.Printf("CreateEmbeddings error: %v\n", err) + return + } + + vectors := resp.Data[0].Embedding // []float32 with 1536 dimensions + + fmt.Println(vectors[:10], "...", vectors[len(vectors)-10:]) +} +``` +
+ +
+JSON Schema for function calling + +It is now possible for chat completion to choose to call a function for more information ([see developer docs here](https://platform.openai.com/docs/guides/gpt/function-calling)). + +In order to describe the type of functions that can be called, a JSON schema must be provided. Many JSON schema libraries exist and are more advanced than what we can offer in this library, however we have included a simple `jsonschema` package for those who want to use this feature without formatting their own JSON schema payload. + +The developer documents give this JSON schema definition as an example: + +```json +{ + "name":"get_current_weather", + "description":"Get the current weather in a given location", + "parameters":{ + "type":"object", + "properties":{ + "location":{ + "type":"string", + "description":"The city and state, e.g. San Francisco, CA" + }, + "unit":{ + "type":"string", + "enum":[ + "celsius", + "fahrenheit" + ] + } + }, + "required":[ + "location" + ] + } +} +``` + +Using the `jsonschema` package, this schema could be created using structs as such: + +```go +FunctionDefinition{ + Name: "get_current_weather", + Parameters: jsonschema.Definition{ + Type: jsonschema.Object, + Properties: map[string]jsonschema.Definition{ + "location": { + Type: jsonschema.String, + Description: "The city and state, e.g. San Francisco, CA", + }, + "unit": { + Type: jsonschema.String, + Enum: []string{"celsius", "fahrenheit"}, + }, + }, + Required: []string{"location"}, + }, +} +``` + +The `Parameters` field of a `FunctionDefinition` can accept either of the above styles, or even a nested struct from another library (as long as it can be marshalled into JSON). +
+ +
+Error handling + +Open-AI maintains clear documentation on how to [handle API errors](https://platform.openai.com/docs/guides/error-codes/api-errors) + +example: +``` +e := &openai.APIError{} +if errors.As(err, &e) { + switch e.HTTPStatusCode { + case 401: + // invalid auth or key (do not retry) + case 429: + // rate limiting or engine overload (wait and retry) + case 500: + // openai server error (retry) + default: + // unhandled + } +} + +``` +
+ +
+Fine Tune Model + +```go +package main + +import ( + "context" + "fmt" + "github.com/sashabaranov/go-openai" +) + +func main() { + client := openai.NewClient("your token") + ctx := context.Background() + + // create a .jsonl file with your training data for conversational model + // {"prompt": "", "completion": ""} + // {"prompt": "", "completion": ""} + // {"prompt": "", "completion": ""} + + // chat models are trained using the following file format: + // {"messages": [{"role": "system", "content": "Marv is a factual chatbot that is also sarcastic."}, {"role": "user", "content": "What's the capital of France?"}, {"role": "assistant", "content": "Paris, as if everyone doesn't know that already."}]} + // {"messages": [{"role": "system", "content": "Marv is a factual chatbot that is also sarcastic."}, {"role": "user", "content": "Who wrote 'Romeo and Juliet'?"}, {"role": "assistant", "content": "Oh, just some guy named William Shakespeare. Ever heard of him?"}]} + // {"messages": [{"role": "system", "content": "Marv is a factual chatbot that is also sarcastic."}, {"role": "user", "content": "How far is the Moon from Earth?"}, {"role": "assistant", "content": "Around 384,400 kilometers. Give or take a few, like that really matters."}]} + + // you can use openai cli tool to validate the data + // For more info - https://platform.openai.com/docs/guides/fine-tuning + + file, err := client.CreateFile(ctx, openai.FileRequest{ + FilePath: "training_prepared.jsonl", + Purpose: "fine-tune", + }) + if err != nil { + fmt.Printf("Upload JSONL file error: %v\n", err) + return + } + + // create a fine tuning job + // Streams events until the job is done (this often takes minutes, but can take hours if there are many jobs in the queue or your dataset is large) + // use below get method to know the status of your model + fineTuningJob, err := client.CreateFineTuningJob(ctx, openai.FineTuningJobRequest{ + TrainingFile: file.ID, + Model: "davinci-002", // gpt-3.5-turbo-0613, babbage-002. + }) + if err != nil { + fmt.Printf("Creating new fine tune model error: %v\n", err) + return + } + + fineTuningJob, err = client.RetrieveFineTuningJob(ctx, fineTuningJob.ID) + if err != nil { + fmt.Printf("Getting fine tune model error: %v\n", err) + return + } + fmt.Println(fineTuningJob.FineTunedModel) + + // once the status of fineTuningJob is `succeeded`, you can use your fine tune model in Completion Request or Chat Completion Request + + // resp, err := client.CreateCompletion(ctx, openai.CompletionRequest{ + // Model: fineTuningJob.FineTunedModel, + // Prompt: "your prompt", + // }) + // if err != nil { + // fmt.Printf("Create completion error %v\n", err) + // return + // } + // + // fmt.Println(resp.Choices[0].Text) +} +``` +
+ +
+Structured Outputs + +```go +package main + +import ( + "context" + "fmt" + "log" + + "github.com/sashabaranov/go-openai" + "github.com/sashabaranov/go-openai/jsonschema" +) + +func main() { + client := openai.NewClient("your token") + ctx := context.Background() + + type Result struct { + Steps []struct { + Explanation string `json:"explanation"` + Output string `json:"output"` + } `json:"steps"` + FinalAnswer string `json:"final_answer"` + } + var result Result + schema, err := jsonschema.GenerateSchemaForType(result) + if err != nil { + log.Fatalf("GenerateSchemaForType error: %v", err) + } + resp, err := client.CreateChatCompletion(ctx, openai.ChatCompletionRequest{ + Model: openai.GPT4oMini, + Messages: []openai.ChatCompletionMessage{ + { + Role: openai.ChatMessageRoleSystem, + Content: "You are a helpful math tutor. Guide the user through the solution step by step.", + }, + { + Role: openai.ChatMessageRoleUser, + Content: "how can I solve 8x + 7 = -23", + }, + }, + ResponseFormat: &openai.ChatCompletionResponseFormat{ + Type: openai.ChatCompletionResponseFormatTypeJSONSchema, + JSONSchema: &openai.ChatCompletionResponseFormatJSONSchema{ + Name: "math_reasoning", + Schema: schema, + Strict: true, + }, + }, + }) + if err != nil { + log.Fatalf("CreateChatCompletion error: %v", err) + } + err = schema.Unmarshal(resp.Choices[0].Message.Content, &result) + if err != nil { + log.Fatalf("Unmarshal schema error: %v", err) + } + fmt.Println(result) +} +``` +
+See the `examples/` folder for more. + +## Frequently Asked Questions + +### Why don't we get the same answer when specifying a temperature field of 0 and asking the same question? + +Even when specifying a temperature field of 0, it doesn't guarantee that you'll always get the same response. Several factors come into play. + +1. Go OpenAI Behavior: When you specify a temperature field of 0 in Go OpenAI, the omitempty tag causes that field to be removed from the request. Consequently, the OpenAI API applies the default value of 1. +2. Token Count for Input/Output: If there's a large number of tokens in the input and output, setting the temperature to 0 can still result in non-deterministic behavior. In particular, when using around 32k tokens, the likelihood of non-deterministic behavior becomes highest even with a temperature of 0. + +Due to the factors mentioned above, different answers may be returned even for the same question. + +**Workarounds:** +1. As of November 2023, use [the new `seed` parameter](https://platform.openai.com/docs/guides/text-generation/reproducible-outputs) in conjunction with the `system_fingerprint` response field, alongside Temperature management. +2. Try using `math.SmallestNonzeroFloat32`: By specifying `math.SmallestNonzeroFloat32` in the temperature field instead of 0, you can mimic the behavior of setting it to 0. +3. Limiting Token Count: By limiting the number of tokens in the input and output and especially avoiding large requests close to 32k tokens, you can reduce the risk of non-deterministic behavior. + +By adopting these strategies, you can expect more consistent results. + +**Related Issues:** +[omitempty option of request struct will generate incorrect request when parameter is 0.](https://github.com/sashabaranov/go-openai/issues/9) + +### Does Go OpenAI provide a method to count tokens? + +No, Go OpenAI does not offer a feature to count tokens, and there are no plans to provide such a feature in the future. However, if there's a way to implement a token counting feature with zero dependencies, it might be possible to merge that feature into Go OpenAI. Otherwise, it would be more appropriate to implement it in a dedicated library or repository. + +For counting tokens, you might find the following links helpful: +- [Counting Tokens For Chat API Calls](https://github.com/pkoukk/tiktoken-go#counting-tokens-for-chat-api-calls) +- [How to count tokens with tiktoken](https://github.com/openai/openai-cookbook/blob/main/examples/How_to_count_tokens_with_tiktoken.ipynb) + +**Related Issues:** +[Is it possible to join the implementation of GPT3 Tokenizer](https://github.com/sashabaranov/go-openai/issues/62) + +## Contributing + +By following [Contributing Guidelines](https://github.com/sashabaranov/go-openai/blob/master/CONTRIBUTING.md), we hope to ensure that your contributions are made smoothly and efficiently. + +## Thank you + +We want to take a moment to express our deepest gratitude to the [contributors](https://github.com/sashabaranov/go-openai/graphs/contributors) and sponsors of this project: +- [Carson Kahn](https://carsonkahn.com) of [Spindle AI](https://spindleai.com) + +To all of you: thank you. You've helped us achieve more than we ever imagined possible. Can't wait to see where we go next, together! diff --git a/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/api_integration_test.go b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/api_integration_test.go new file mode 100644 index 0000000..7828d94 --- /dev/null +++ b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/api_integration_test.go @@ -0,0 +1,314 @@ +//go:build integration + +package openai_test + +import ( + "context" + "encoding/json" + "errors" + "io" + "os" + "testing" + + "github.com/sashabaranov/go-openai" + "github.com/sashabaranov/go-openai/internal/test/checks" + "github.com/sashabaranov/go-openai/jsonschema" +) + +func TestAPI(t *testing.T) { + apiToken := os.Getenv("OPENAI_TOKEN") + if apiToken == "" { + t.Skip("Skipping testing against production OpenAI API. Set OPENAI_TOKEN environment variable to enable it.") + } + + var err error + c := openai.NewClient(apiToken) + ctx := context.Background() + _, err = c.ListEngines(ctx) + checks.NoError(t, err, "ListEngines error") + + _, err = c.GetEngine(ctx, openai.GPT3Davinci002) + checks.NoError(t, err, "GetEngine error") + + fileRes, err := c.ListFiles(ctx) + checks.NoError(t, err, "ListFiles error") + + if len(fileRes.Files) > 0 { + _, err = c.GetFile(ctx, fileRes.Files[0].ID) + checks.NoError(t, err, "GetFile error") + } // else skip + + embeddingReq := openai.EmbeddingRequest{ + Input: []string{ + "The food was delicious and the waiter", + "Other examples of embedding request", + }, + Model: openai.AdaEmbeddingV2, + } + _, err = c.CreateEmbeddings(ctx, embeddingReq) + checks.NoError(t, err, "Embedding error") + + _, err = c.CreateChatCompletion( + ctx, + openai.ChatCompletionRequest{ + Model: openai.GPT3Dot5Turbo, + Messages: []openai.ChatCompletionMessage{ + { + Role: openai.ChatMessageRoleUser, + Content: "Hello!", + }, + }, + }, + ) + + checks.NoError(t, err, "CreateChatCompletion (without name) returned error") + + _, err = c.CreateChatCompletion( + ctx, + openai.ChatCompletionRequest{ + Model: openai.GPT3Dot5Turbo, + Messages: []openai.ChatCompletionMessage{ + { + Role: openai.ChatMessageRoleUser, + Name: "John_Doe", + Content: "Hello!", + }, + }, + }, + ) + checks.NoError(t, err, "CreateChatCompletion (with name) returned error") + + _, err = c.CreateChatCompletion( + context.Background(), + openai.ChatCompletionRequest{ + Model: openai.GPT3Dot5Turbo, + Messages: []openai.ChatCompletionMessage{ + { + Role: openai.ChatMessageRoleUser, + Content: "What is the weather like in Boston?", + }, + }, + Functions: []openai.FunctionDefinition{{ + Name: "get_current_weather", + Parameters: jsonschema.Definition{ + Type: jsonschema.Object, + Properties: map[string]jsonschema.Definition{ + "location": { + Type: jsonschema.String, + Description: "The city and state, e.g. San Francisco, CA", + }, + "unit": { + Type: jsonschema.String, + Enum: []string{"celsius", "fahrenheit"}, + }, + }, + Required: []string{"location"}, + }, + }}, + }, + ) + checks.NoError(t, err, "CreateChatCompletion (with functions) returned error") +} + +func TestCompletionStream(t *testing.T) { + apiToken := os.Getenv("OPENAI_TOKEN") + if apiToken == "" { + t.Skip("Skipping testing against production OpenAI API. Set OPENAI_TOKEN environment variable to enable it.") + } + + c := openai.NewClient(apiToken) + ctx := context.Background() + + stream, err := c.CreateCompletionStream(ctx, openai.CompletionRequest{ + Prompt: "Ex falso quodlibet", + Model: openai.GPT3Babbage002, + MaxTokens: 5, + Stream: true, + }) + checks.NoError(t, err, "CreateCompletionStream returned error") + defer stream.Close() + + counter := 0 + for { + _, err = stream.Recv() + if err != nil { + if errors.Is(err, io.EOF) { + break + } + t.Errorf("Stream error: %v", err) + } else { + counter++ + } + } + if counter == 0 { + t.Error("Stream did not return any responses") + } +} + +func TestAPIError(t *testing.T) { + apiToken := os.Getenv("OPENAI_TOKEN") + if apiToken == "" { + t.Skip("Skipping testing against production OpenAI API. Set OPENAI_TOKEN environment variable to enable it.") + } + + var err error + c := openai.NewClient(apiToken + "_invalid") + ctx := context.Background() + _, err = c.ListEngines(ctx) + checks.HasError(t, err, "ListEngines should fail with an invalid key") + + var apiErr *openai.APIError + if !errors.As(err, &apiErr) { + t.Fatalf("Error is not an APIError: %+v", err) + } + + if apiErr.HTTPStatusCode != 401 { + t.Fatalf("Unexpected API error status code: %d", apiErr.HTTPStatusCode) + } + + switch v := apiErr.Code.(type) { + case string: + if v != "invalid_api_key" { + t.Fatalf("Unexpected API error code: %s", v) + } + default: + t.Fatalf("Unexpected API error code type: %T", v) + } + + if apiErr.Error() == "" { + t.Fatal("Empty error message occurred") + } +} + +func TestChatCompletionResponseFormat_JSONSchema(t *testing.T) { + apiToken := os.Getenv("OPENAI_TOKEN") + if apiToken == "" { + t.Skip("Skipping testing against production OpenAI API. Set OPENAI_TOKEN environment variable to enable it.") + } + + var err error + c := openai.NewClient(apiToken) + ctx := context.Background() + + type MyStructuredResponse struct { + PascalCase string `json:"pascal_case" required:"true" description:"PascalCase"` + CamelCase string `json:"camel_case" required:"true" description:"CamelCase"` + KebabCase string `json:"kebab_case" required:"true" description:"KebabCase"` + SnakeCase string `json:"snake_case" required:"true" description:"SnakeCase"` + } + var result MyStructuredResponse + schema, err := jsonschema.GenerateSchemaForType(result) + if err != nil { + t.Fatal("CreateChatCompletion (use json_schema response) GenerateSchemaForType error") + } + resp, err := c.CreateChatCompletion( + ctx, + openai.ChatCompletionRequest{ + Model: openai.GPT4oMini, + Messages: []openai.ChatCompletionMessage{ + { + Role: openai.ChatMessageRoleSystem, + Content: "Please enter a string, and we will convert it into the following naming conventions:" + + "1. PascalCase: Each word starts with an uppercase letter, with no spaces or separators." + + "2. CamelCase: The first word starts with a lowercase letter, " + + "and subsequent words start with an uppercase letter, with no spaces or separators." + + "3. KebabCase: All letters are lowercase, with words separated by hyphens `-`." + + "4. SnakeCase: All letters are lowercase, with words separated by underscores `_`.", + }, + { + Role: openai.ChatMessageRoleUser, + Content: "Hello World", + }, + }, + ResponseFormat: &openai.ChatCompletionResponseFormat{ + Type: openai.ChatCompletionResponseFormatTypeJSONSchema, + JSONSchema: &openai.ChatCompletionResponseFormatJSONSchema{ + Name: "cases", + Schema: schema, + Strict: true, + }, + }, + }, + ) + checks.NoError(t, err, "CreateChatCompletion (use json_schema response) returned error") + if err == nil { + err = schema.Unmarshal(resp.Choices[0].Message.Content, &result) + checks.NoError(t, err, "CreateChatCompletion (use json_schema response) unmarshal error") + } +} + +func TestChatCompletionStructuredOutputsFunctionCalling(t *testing.T) { + apiToken := os.Getenv("OPENAI_TOKEN") + if apiToken == "" { + t.Skip("Skipping testing against production OpenAI API. Set OPENAI_TOKEN environment variable to enable it.") + } + + var err error + c := openai.NewClient(apiToken) + ctx := context.Background() + + resp, err := c.CreateChatCompletion( + ctx, + openai.ChatCompletionRequest{ + Model: openai.GPT4oMini, + Messages: []openai.ChatCompletionMessage{ + { + Role: openai.ChatMessageRoleSystem, + Content: "Please enter a string, and we will convert it into the following naming conventions:" + + "1. PascalCase: Each word starts with an uppercase letter, with no spaces or separators." + + "2. CamelCase: The first word starts with a lowercase letter, " + + "and subsequent words start with an uppercase letter, with no spaces or separators." + + "3. KebabCase: All letters are lowercase, with words separated by hyphens `-`." + + "4. SnakeCase: All letters are lowercase, with words separated by underscores `_`.", + }, + { + Role: openai.ChatMessageRoleUser, + Content: "Hello World", + }, + }, + Tools: []openai.Tool{ + { + Type: openai.ToolTypeFunction, + Function: &openai.FunctionDefinition{ + Name: "display_cases", + Strict: true, + Parameters: &jsonschema.Definition{ + Type: jsonschema.Object, + Properties: map[string]jsonschema.Definition{ + "PascalCase": { + Type: jsonschema.String, + }, + "CamelCase": { + Type: jsonschema.String, + }, + "KebabCase": { + Type: jsonschema.String, + }, + "SnakeCase": { + Type: jsonschema.String, + }, + }, + Required: []string{"PascalCase", "CamelCase", "KebabCase", "SnakeCase"}, + AdditionalProperties: false, + }, + }, + }, + }, + ToolChoice: openai.ToolChoice{ + Type: openai.ToolTypeFunction, + Function: openai.ToolFunction{ + Name: "display_cases", + }, + }, + }, + ) + checks.NoError(t, err, "CreateChatCompletion (use structured outputs response) returned error") + var result = make(map[string]string) + err = json.Unmarshal([]byte(resp.Choices[0].Message.ToolCalls[0].Function.Arguments), &result) + checks.NoError(t, err, "CreateChatCompletion (use structured outputs response) unmarshal error") + for _, key := range []string{"PascalCase", "CamelCase", "KebabCase", "SnakeCase"} { + if _, ok := result[key]; !ok { + t.Errorf("key:%s does not exist.", key) + } + } +} diff --git a/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/api_internal_test.go b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/api_internal_test.go new file mode 100644 index 0000000..0967796 --- /dev/null +++ b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/api_internal_test.go @@ -0,0 +1,200 @@ +package openai + +import ( + "context" + "testing" +) + +func TestOpenAIFullURL(t *testing.T) { + cases := []struct { + Name string + Suffix string + Expect string + }{ + { + "ChatCompletionsURL", + "/chat/completions", + "https://api.openai.com/v1/chat/completions", + }, + { + "CompletionsURL", + "/completions", + "https://api.openai.com/v1/completions", + }, + } + + for _, c := range cases { + t.Run(c.Name, func(t *testing.T) { + az := DefaultConfig("dummy") + cli := NewClientWithConfig(az) + actual := cli.fullURL(c.Suffix) + if actual != c.Expect { + t.Errorf("Expected %s, got %s", c.Expect, actual) + } + t.Logf("Full URL: %s", actual) + }) + } +} + +func TestRequestAuthHeader(t *testing.T) { + cases := []struct { + Name string + APIType APIType + HeaderKey string + Token string + OrgID string + Expect string + }{ + { + "OpenAIDefault", + "", + "Authorization", + "dummy-token-openai", + "", + "Bearer dummy-token-openai", + }, + { + "OpenAIOrg", + APITypeOpenAI, + "Authorization", + "dummy-token-openai", + "dummy-org-openai", + "Bearer dummy-token-openai", + }, + { + "OpenAI", + APITypeOpenAI, + "Authorization", + "dummy-token-openai", + "", + "Bearer dummy-token-openai", + }, + { + "AzureAD", + APITypeAzureAD, + "Authorization", + "dummy-token-azure", + "", + "Bearer dummy-token-azure", + }, + { + "Azure", + APITypeAzure, + AzureAPIKeyHeader, + "dummy-api-key-here", + "", + "dummy-api-key-here", + }, + } + + for _, c := range cases { + t.Run(c.Name, func(t *testing.T) { + az := DefaultConfig(c.Token) + az.APIType = c.APIType + az.OrgID = c.OrgID + + cli := NewClientWithConfig(az) + req, err := cli.newRequest(context.Background(), "POST", "/chat/completions") + if err != nil { + t.Errorf("Failed to create request: %v", err) + } + actual := req.Header.Get(c.HeaderKey) + if actual != c.Expect { + t.Errorf("Expected %s, got %s", c.Expect, actual) + } + t.Logf("%s: %s", c.HeaderKey, actual) + }) + } +} + +func TestAzureFullURL(t *testing.T) { + cases := []struct { + Name string + BaseURL string + AzureModelMapper map[string]string + Suffix string + Model string + Expect string + }{ + { + "AzureBaseURLWithSlashAutoStrip", + "https://httpbin.org/", + nil, + "/chat/completions", + "chatgpt-demo", + "https://httpbin.org/" + + "openai/deployments/chatgpt-demo" + + "/chat/completions?api-version=2023-05-15", + }, + { + "AzureBaseURLWithoutSlashOK", + "https://httpbin.org", + nil, + "/chat/completions", + "chatgpt-demo", + "https://httpbin.org/" + + "openai/deployments/chatgpt-demo" + + "/chat/completions?api-version=2023-05-15", + }, + { + "", + "https://httpbin.org", + nil, + "/assistants?limit=10", + "chatgpt-demo", + "https://httpbin.org/openai/assistants?api-version=2023-05-15&limit=10", + }, + } + + for _, c := range cases { + t.Run(c.Name, func(t *testing.T) { + az := DefaultAzureConfig("dummy", c.BaseURL) + cli := NewClientWithConfig(az) + // /openai/deployments/{engine}/chat/completions?api-version={api_version} + actual := cli.fullURL(c.Suffix, withModel(c.Model)) + if actual != c.Expect { + t.Errorf("Expected %s, got %s", c.Expect, actual) + } + t.Logf("Full URL: %s", actual) + }) + } +} + +func TestCloudflareAzureFullURL(t *testing.T) { + cases := []struct { + Name string + BaseURL string + Suffix string + Expect string + }{ + { + "CloudflareAzureBaseURLWithSlashAutoStrip", + "https://gateway.ai.cloudflare.com/v1/dnekeim2i39dmm4mldemakiem3i4mkw3/demo/azure-openai/resource/chatgpt-demo/", + "/chat/completions", + "https://gateway.ai.cloudflare.com/v1/dnekeim2i39dmm4mldemakiem3i4mkw3/demo/azure-openai/resource/chatgpt-demo/" + + "chat/completions?api-version=2023-05-15", + }, + { + "", + "https://gateway.ai.cloudflare.com/v1/dnekeim2i39dmm4mldemakiem3i4mkw3/demo/azure-openai/resource/chatgpt-demo", + "/assistants?limit=10", + "https://gateway.ai.cloudflare.com/v1/dnekeim2i39dmm4mldemakiem3i4mkw3/demo/azure-openai/resource/chatgpt-demo" + + "/assistants?api-version=2023-05-15&limit=10", + }, + } + + for _, c := range cases { + t.Run(c.Name, func(t *testing.T) { + az := DefaultAzureConfig("dummy", c.BaseURL) + az.APIType = APITypeCloudflareAzure + + cli := NewClientWithConfig(az) + + actual := cli.fullURL(c.Suffix) + if actual != c.Expect { + t.Errorf("Expected %s, got %s", c.Expect, actual) + } + t.Logf("Full URL: %s", actual) + }) + } +} diff --git a/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/assistant.go b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/assistant.go new file mode 100644 index 0000000..8aab5bc --- /dev/null +++ b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/assistant.go @@ -0,0 +1,325 @@ +package openai + +import ( + "context" + "encoding/json" + "fmt" + "net/http" + "net/url" +) + +const ( + assistantsSuffix = "/assistants" + assistantsFilesSuffix = "/files" +) + +type Assistant struct { + ID string `json:"id"` + Object string `json:"object"` + CreatedAt int64 `json:"created_at"` + Name *string `json:"name,omitempty"` + Description *string `json:"description,omitempty"` + Model string `json:"model"` + Instructions *string `json:"instructions,omitempty"` + Tools []AssistantTool `json:"tools"` + ToolResources *AssistantToolResource `json:"tool_resources,omitempty"` + FileIDs []string `json:"file_ids,omitempty"` // Deprecated in v2 + Metadata map[string]any `json:"metadata,omitempty"` + Temperature *float32 `json:"temperature,omitempty"` + TopP *float32 `json:"top_p,omitempty"` + ResponseFormat any `json:"response_format,omitempty"` + + httpHeader +} + +type AssistantToolType string + +const ( + AssistantToolTypeCodeInterpreter AssistantToolType = "code_interpreter" + AssistantToolTypeRetrieval AssistantToolType = "retrieval" + AssistantToolTypeFunction AssistantToolType = "function" + AssistantToolTypeFileSearch AssistantToolType = "file_search" +) + +type AssistantTool struct { + Type AssistantToolType `json:"type"` + Function *FunctionDefinition `json:"function,omitempty"` +} + +type AssistantToolFileSearch struct { + VectorStoreIDs []string `json:"vector_store_ids"` +} + +type AssistantToolCodeInterpreter struct { + FileIDs []string `json:"file_ids"` +} + +type AssistantToolResource struct { + FileSearch *AssistantToolFileSearch `json:"file_search,omitempty"` + CodeInterpreter *AssistantToolCodeInterpreter `json:"code_interpreter,omitempty"` +} + +// AssistantRequest provides the assistant request parameters. +// When modifying the tools the API functions as the following: +// If Tools is undefined, no changes are made to the Assistant's tools. +// If Tools is empty slice it will effectively delete all of the Assistant's tools. +// If Tools is populated, it will replace all of the existing Assistant's tools with the provided tools. +type AssistantRequest struct { + Model string `json:"model"` + Name *string `json:"name,omitempty"` + Description *string `json:"description,omitempty"` + Instructions *string `json:"instructions,omitempty"` + Tools []AssistantTool `json:"-"` + FileIDs []string `json:"file_ids,omitempty"` + Metadata map[string]any `json:"metadata,omitempty"` + ToolResources *AssistantToolResource `json:"tool_resources,omitempty"` + ResponseFormat any `json:"response_format,omitempty"` + Temperature *float32 `json:"temperature,omitempty"` + TopP *float32 `json:"top_p,omitempty"` +} + +// MarshalJSON provides a custom marshaller for the assistant request to handle the API use cases +// If Tools is nil, the field is omitted from the JSON. +// If Tools is an empty slice, it's included in the JSON as an empty array ([]). +// If Tools is populated, it's included in the JSON with the elements. +func (a AssistantRequest) MarshalJSON() ([]byte, error) { + type Alias AssistantRequest + assistantAlias := &struct { + Tools *[]AssistantTool `json:"tools,omitempty"` + *Alias + }{ + Alias: (*Alias)(&a), + } + + if a.Tools != nil { + assistantAlias.Tools = &a.Tools + } + + return json.Marshal(assistantAlias) +} + +// AssistantsList is a list of assistants. +type AssistantsList struct { + Assistants []Assistant `json:"data"` + LastID *string `json:"last_id"` + FirstID *string `json:"first_id"` + HasMore bool `json:"has_more"` + httpHeader +} + +type AssistantDeleteResponse struct { + ID string `json:"id"` + Object string `json:"object"` + Deleted bool `json:"deleted"` + + httpHeader +} + +type AssistantFile struct { + ID string `json:"id"` + Object string `json:"object"` + CreatedAt int64 `json:"created_at"` + AssistantID string `json:"assistant_id"` + + httpHeader +} + +type AssistantFileRequest struct { + FileID string `json:"file_id"` +} + +type AssistantFilesList struct { + AssistantFiles []AssistantFile `json:"data"` + + httpHeader +} + +// CreateAssistant creates a new assistant. +func (c *Client) CreateAssistant(ctx context.Context, request AssistantRequest) (response Assistant, err error) { + req, err := c.newRequest(ctx, http.MethodPost, c.fullURL(assistantsSuffix), withBody(request), + withBetaAssistantVersion(c.config.AssistantVersion)) + if err != nil { + return + } + + err = c.sendRequest(req, &response) + return +} + +// RetrieveAssistant retrieves an assistant. +func (c *Client) RetrieveAssistant( + ctx context.Context, + assistantID string, +) (response Assistant, err error) { + urlSuffix := fmt.Sprintf("%s/%s", assistantsSuffix, assistantID) + req, err := c.newRequest(ctx, http.MethodGet, c.fullURL(urlSuffix), + withBetaAssistantVersion(c.config.AssistantVersion)) + if err != nil { + return + } + + err = c.sendRequest(req, &response) + return +} + +// ModifyAssistant modifies an assistant. +func (c *Client) ModifyAssistant( + ctx context.Context, + assistantID string, + request AssistantRequest, +) (response Assistant, err error) { + urlSuffix := fmt.Sprintf("%s/%s", assistantsSuffix, assistantID) + req, err := c.newRequest(ctx, http.MethodPost, c.fullURL(urlSuffix), withBody(request), + withBetaAssistantVersion(c.config.AssistantVersion)) + if err != nil { + return + } + + err = c.sendRequest(req, &response) + return +} + +// DeleteAssistant deletes an assistant. +func (c *Client) DeleteAssistant( + ctx context.Context, + assistantID string, +) (response AssistantDeleteResponse, err error) { + urlSuffix := fmt.Sprintf("%s/%s", assistantsSuffix, assistantID) + req, err := c.newRequest(ctx, http.MethodDelete, c.fullURL(urlSuffix), + withBetaAssistantVersion(c.config.AssistantVersion)) + if err != nil { + return + } + + err = c.sendRequest(req, &response) + return +} + +// ListAssistants Lists the currently available assistants. +func (c *Client) ListAssistants( + ctx context.Context, + limit *int, + order *string, + after *string, + before *string, +) (response AssistantsList, err error) { + urlValues := url.Values{} + if limit != nil { + urlValues.Add("limit", fmt.Sprintf("%d", *limit)) + } + if order != nil { + urlValues.Add("order", *order) + } + if after != nil { + urlValues.Add("after", *after) + } + if before != nil { + urlValues.Add("before", *before) + } + + encodedValues := "" + if len(urlValues) > 0 { + encodedValues = "?" + urlValues.Encode() + } + + urlSuffix := fmt.Sprintf("%s%s", assistantsSuffix, encodedValues) + req, err := c.newRequest(ctx, http.MethodGet, c.fullURL(urlSuffix), + withBetaAssistantVersion(c.config.AssistantVersion)) + if err != nil { + return + } + + err = c.sendRequest(req, &response) + return +} + +// CreateAssistantFile creates a new assistant file. +func (c *Client) CreateAssistantFile( + ctx context.Context, + assistantID string, + request AssistantFileRequest, +) (response AssistantFile, err error) { + urlSuffix := fmt.Sprintf("%s/%s%s", assistantsSuffix, assistantID, assistantsFilesSuffix) + req, err := c.newRequest(ctx, http.MethodPost, c.fullURL(urlSuffix), + withBody(request), + withBetaAssistantVersion(c.config.AssistantVersion)) + if err != nil { + return + } + + err = c.sendRequest(req, &response) + return +} + +// RetrieveAssistantFile retrieves an assistant file. +func (c *Client) RetrieveAssistantFile( + ctx context.Context, + assistantID string, + fileID string, +) (response AssistantFile, err error) { + urlSuffix := fmt.Sprintf("%s/%s%s/%s", assistantsSuffix, assistantID, assistantsFilesSuffix, fileID) + req, err := c.newRequest(ctx, http.MethodGet, c.fullURL(urlSuffix), + withBetaAssistantVersion(c.config.AssistantVersion)) + if err != nil { + return + } + + err = c.sendRequest(req, &response) + return +} + +// DeleteAssistantFile deletes an existing file. +func (c *Client) DeleteAssistantFile( + ctx context.Context, + assistantID string, + fileID string, +) (err error) { + urlSuffix := fmt.Sprintf("%s/%s%s/%s", assistantsSuffix, assistantID, assistantsFilesSuffix, fileID) + req, err := c.newRequest(ctx, http.MethodDelete, c.fullURL(urlSuffix), + withBetaAssistantVersion(c.config.AssistantVersion)) + if err != nil { + return + } + + err = c.sendRequest(req, nil) + return +} + +// ListAssistantFiles Lists the currently available files for an assistant. +func (c *Client) ListAssistantFiles( + ctx context.Context, + assistantID string, + limit *int, + order *string, + after *string, + before *string, +) (response AssistantFilesList, err error) { + urlValues := url.Values{} + if limit != nil { + urlValues.Add("limit", fmt.Sprintf("%d", *limit)) + } + if order != nil { + urlValues.Add("order", *order) + } + if after != nil { + urlValues.Add("after", *after) + } + if before != nil { + urlValues.Add("before", *before) + } + + encodedValues := "" + if len(urlValues) > 0 { + encodedValues = "?" + urlValues.Encode() + } + + urlSuffix := fmt.Sprintf("%s/%s%s%s", assistantsSuffix, assistantID, assistantsFilesSuffix, encodedValues) + req, err := c.newRequest(ctx, http.MethodGet, c.fullURL(urlSuffix), + withBetaAssistantVersion(c.config.AssistantVersion)) + if err != nil { + return + } + + err = c.sendRequest(req, &response) + return +} diff --git a/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/assistant_test.go b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/assistant_test.go new file mode 100644 index 0000000..40de0e5 --- /dev/null +++ b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/assistant_test.go @@ -0,0 +1,447 @@ +package openai_test + +import ( + "context" + + openai "github.com/sashabaranov/go-openai" + "github.com/sashabaranov/go-openai/internal/test/checks" + + "encoding/json" + "fmt" + "net/http" + "testing" +) + +// TestAssistant Tests the assistant endpoint of the API using the mocked server. +func TestAssistant(t *testing.T) { + assistantID := "asst_abc123" + assistantName := "Ambrogio" + assistantDescription := "Ambrogio is a friendly assistant." + assistantInstructions := `You are a personal math tutor. +When asked a question, write and run Python code to answer the question.` + assistantFileID := "file-wB6RM6wHdA49HfS2DJ9fEyrH" + limit := 20 + order := "desc" + after := "asst_abc122" + before := "asst_abc124" + + client, server, teardown := setupOpenAITestServer() + defer teardown() + + server.RegisterHandler( + "/v1/assistants/"+assistantID+"/files/"+assistantFileID, + func(w http.ResponseWriter, r *http.Request) { + if r.Method == http.MethodGet { + resBytes, _ := json.Marshal(openai.AssistantFile{ + ID: assistantFileID, + Object: "assistant.file", + CreatedAt: 1234567890, + AssistantID: assistantID, + }) + fmt.Fprintln(w, string(resBytes)) + } else if r.Method == http.MethodDelete { + fmt.Fprintln(w, `{ + id: "file-wB6RM6wHdA49HfS2DJ9fEyrH", + object: "assistant.file.deleted", + deleted: true + }`) + } + }, + ) + + server.RegisterHandler( + "/v1/assistants/"+assistantID+"/files", + func(w http.ResponseWriter, r *http.Request) { + if r.Method == http.MethodGet { + resBytes, _ := json.Marshal(openai.AssistantFilesList{ + AssistantFiles: []openai.AssistantFile{ + { + ID: assistantFileID, + Object: "assistant.file", + CreatedAt: 1234567890, + AssistantID: assistantID, + }, + }, + }) + fmt.Fprintln(w, string(resBytes)) + } else if r.Method == http.MethodPost { + var request openai.AssistantFileRequest + err := json.NewDecoder(r.Body).Decode(&request) + checks.NoError(t, err, "Decode error") + + resBytes, _ := json.Marshal(openai.AssistantFile{ + ID: request.FileID, + Object: "assistant.file", + CreatedAt: 1234567890, + AssistantID: assistantID, + }) + fmt.Fprintln(w, string(resBytes)) + } + }, + ) + + server.RegisterHandler( + "/v1/assistants/"+assistantID, + func(w http.ResponseWriter, r *http.Request) { + switch r.Method { + case http.MethodGet: + resBytes, _ := json.Marshal(openai.Assistant{ + ID: assistantID, + Object: "assistant", + CreatedAt: 1234567890, + Name: &assistantName, + Model: openai.GPT4TurboPreview, + Description: &assistantDescription, + Instructions: &assistantInstructions, + }) + fmt.Fprintln(w, string(resBytes)) + case http.MethodPost: + var request openai.Assistant + err := json.NewDecoder(r.Body).Decode(&request) + checks.NoError(t, err, "Decode error") + + resBytes, _ := json.Marshal(openai.Assistant{ + ID: assistantID, + Object: "assistant", + CreatedAt: 1234567890, + Name: request.Name, + Model: request.Model, + Description: request.Description, + Instructions: request.Instructions, + Tools: request.Tools, + }) + fmt.Fprintln(w, string(resBytes)) + case http.MethodDelete: + fmt.Fprintln(w, `{ + "id": "asst_abc123", + "object": "assistant.deleted", + "deleted": true + }`) + } + }, + ) + + server.RegisterHandler( + "/v1/assistants", + func(w http.ResponseWriter, r *http.Request) { + if r.Method == http.MethodPost { + var request openai.AssistantRequest + err := json.NewDecoder(r.Body).Decode(&request) + checks.NoError(t, err, "Decode error") + + resBytes, _ := json.Marshal(openai.Assistant{ + ID: assistantID, + Object: "assistant", + CreatedAt: 1234567890, + Name: request.Name, + Model: request.Model, + Description: request.Description, + Instructions: request.Instructions, + Tools: request.Tools, + }) + fmt.Fprintln(w, string(resBytes)) + } else if r.Method == http.MethodGet { + resBytes, _ := json.Marshal(openai.AssistantsList{ + LastID: &assistantID, + FirstID: &assistantID, + Assistants: []openai.Assistant{ + { + ID: assistantID, + Object: "assistant", + CreatedAt: 1234567890, + Name: &assistantName, + Model: openai.GPT4TurboPreview, + Description: &assistantDescription, + Instructions: &assistantInstructions, + }, + }, + }) + fmt.Fprintln(w, string(resBytes)) + } + }, + ) + + ctx := context.Background() + + t.Run("create_assistant", func(t *testing.T) { + _, err := client.CreateAssistant(ctx, openai.AssistantRequest{ + Name: &assistantName, + Description: &assistantDescription, + Model: openai.GPT4TurboPreview, + Instructions: &assistantInstructions, + }) + checks.NoError(t, err, "CreateAssistant error") + }) + + t.Run("retrieve_assistant", func(t *testing.T) { + _, err := client.RetrieveAssistant(ctx, assistantID) + checks.NoError(t, err, "RetrieveAssistant error") + }) + + t.Run("delete_assistant", func(t *testing.T) { + _, err := client.DeleteAssistant(ctx, assistantID) + checks.NoError(t, err, "DeleteAssistant error") + }) + + t.Run("list_assistant", func(t *testing.T) { + _, err := client.ListAssistants(ctx, &limit, &order, &after, &before) + checks.NoError(t, err, "ListAssistants error") + }) + + t.Run("create_assistant_file", func(t *testing.T) { + _, err := client.CreateAssistantFile(ctx, assistantID, openai.AssistantFileRequest{ + FileID: assistantFileID, + }) + checks.NoError(t, err, "CreateAssistantFile error") + }) + + t.Run("list_assistant_files", func(t *testing.T) { + _, err := client.ListAssistantFiles(ctx, assistantID, &limit, &order, &after, &before) + checks.NoError(t, err, "ListAssistantFiles error") + }) + + t.Run("retrieve_assistant_file", func(t *testing.T) { + _, err := client.RetrieveAssistantFile(ctx, assistantID, assistantFileID) + checks.NoError(t, err, "RetrieveAssistantFile error") + }) + + t.Run("delete_assistant_file", func(t *testing.T) { + err := client.DeleteAssistantFile(ctx, assistantID, assistantFileID) + checks.NoError(t, err, "DeleteAssistantFile error") + }) + + t.Run("modify_assistant_no_tools", func(t *testing.T) { + assistant, err := client.ModifyAssistant(ctx, assistantID, openai.AssistantRequest{ + Name: &assistantName, + Description: &assistantDescription, + Model: openai.GPT4TurboPreview, + Instructions: &assistantInstructions, + }) + checks.NoError(t, err, "ModifyAssistant error") + + if assistant.Tools != nil { + t.Errorf("expected nil got %v", assistant.Tools) + } + }) + + t.Run("modify_assistant_with_tools", func(t *testing.T) { + assistant, err := client.ModifyAssistant(ctx, assistantID, openai.AssistantRequest{ + Name: &assistantName, + Description: &assistantDescription, + Model: openai.GPT4TurboPreview, + Instructions: &assistantInstructions, + Tools: []openai.AssistantTool{{Type: openai.AssistantToolTypeFunction}}, + }) + checks.NoError(t, err, "ModifyAssistant error") + + if assistant.Tools == nil || len(assistant.Tools) != 1 { + t.Errorf("expected a slice got %v", assistant.Tools) + } + }) + + t.Run("modify_assistant_empty_tools", func(t *testing.T) { + assistant, err := client.ModifyAssistant(ctx, assistantID, openai.AssistantRequest{ + Name: &assistantName, + Description: &assistantDescription, + Model: openai.GPT4TurboPreview, + Instructions: &assistantInstructions, + Tools: make([]openai.AssistantTool, 0), + }) + + checks.NoError(t, err, "ModifyAssistant error") + + if assistant.Tools == nil { + t.Errorf("expected a slice got %v", assistant.Tools) + } + }) +} + +func TestAzureAssistant(t *testing.T) { + assistantID := "asst_abc123" + assistantName := "Ambrogio" + assistantDescription := "Ambrogio is a friendly assistant." + assistantInstructions := `You are a personal math tutor. +When asked a question, write and run Python code to answer the question.` + assistantFileID := "file-wB6RM6wHdA49HfS2DJ9fEyrH" + limit := 20 + order := "desc" + after := "asst_abc122" + before := "asst_abc124" + + client, server, teardown := setupAzureTestServer() + defer teardown() + + server.RegisterHandler( + "/openai/assistants/"+assistantID+"/files/"+assistantFileID, + func(w http.ResponseWriter, r *http.Request) { + if r.Method == http.MethodGet { + resBytes, _ := json.Marshal(openai.AssistantFile{ + ID: assistantFileID, + Object: "assistant.file", + CreatedAt: 1234567890, + AssistantID: assistantID, + }) + fmt.Fprintln(w, string(resBytes)) + } else if r.Method == http.MethodDelete { + fmt.Fprintln(w, `{ + id: "file-wB6RM6wHdA49HfS2DJ9fEyrH", + object: "assistant.file.deleted", + deleted: true + }`) + } + }, + ) + + server.RegisterHandler( + "/openai/assistants/"+assistantID+"/files", + func(w http.ResponseWriter, r *http.Request) { + if r.Method == http.MethodGet { + resBytes, _ := json.Marshal(openai.AssistantFilesList{ + AssistantFiles: []openai.AssistantFile{ + { + ID: assistantFileID, + Object: "assistant.file", + CreatedAt: 1234567890, + AssistantID: assistantID, + }, + }, + }) + fmt.Fprintln(w, string(resBytes)) + } else if r.Method == http.MethodPost { + var request openai.AssistantFileRequest + err := json.NewDecoder(r.Body).Decode(&request) + checks.NoError(t, err, "Decode error") + + resBytes, _ := json.Marshal(openai.AssistantFile{ + ID: request.FileID, + Object: "assistant.file", + CreatedAt: 1234567890, + AssistantID: assistantID, + }) + fmt.Fprintln(w, string(resBytes)) + } + }, + ) + + server.RegisterHandler( + "/openai/assistants/"+assistantID, + func(w http.ResponseWriter, r *http.Request) { + switch r.Method { + case http.MethodGet: + resBytes, _ := json.Marshal(openai.Assistant{ + ID: assistantID, + Object: "assistant", + CreatedAt: 1234567890, + Name: &assistantName, + Model: openai.GPT4TurboPreview, + Description: &assistantDescription, + Instructions: &assistantInstructions, + }) + fmt.Fprintln(w, string(resBytes)) + case http.MethodPost: + var request openai.AssistantRequest + err := json.NewDecoder(r.Body).Decode(&request) + checks.NoError(t, err, "Decode error") + + resBytes, _ := json.Marshal(openai.Assistant{ + ID: assistantID, + Object: "assistant", + CreatedAt: 1234567890, + Name: request.Name, + Model: request.Model, + Description: request.Description, + Instructions: request.Instructions, + Tools: request.Tools, + }) + fmt.Fprintln(w, string(resBytes)) + case http.MethodDelete: + fmt.Fprintln(w, `{ + "id": "asst_abc123", + "object": "assistant.deleted", + "deleted": true + }`) + } + }, + ) + + server.RegisterHandler( + "/openai/assistants", + func(w http.ResponseWriter, r *http.Request) { + if r.Method == http.MethodPost { + var request openai.AssistantRequest + err := json.NewDecoder(r.Body).Decode(&request) + checks.NoError(t, err, "Decode error") + + resBytes, _ := json.Marshal(openai.Assistant{ + ID: assistantID, + Object: "assistant", + CreatedAt: 1234567890, + Name: request.Name, + Model: request.Model, + Description: request.Description, + Instructions: request.Instructions, + Tools: request.Tools, + }) + fmt.Fprintln(w, string(resBytes)) + } else if r.Method == http.MethodGet { + resBytes, _ := json.Marshal(openai.AssistantsList{ + LastID: &assistantID, + FirstID: &assistantID, + Assistants: []openai.Assistant{ + { + ID: assistantID, + Object: "assistant", + CreatedAt: 1234567890, + Name: &assistantName, + Model: openai.GPT4TurboPreview, + Description: &assistantDescription, + Instructions: &assistantInstructions, + }, + }, + }) + fmt.Fprintln(w, string(resBytes)) + } + }, + ) + + ctx := context.Background() + + _, err := client.CreateAssistant(ctx, openai.AssistantRequest{ + Name: &assistantName, + Description: &assistantDescription, + Model: openai.GPT4TurboPreview, + Instructions: &assistantInstructions, + }) + checks.NoError(t, err, "CreateAssistant error") + + _, err = client.RetrieveAssistant(ctx, assistantID) + checks.NoError(t, err, "RetrieveAssistant error") + + _, err = client.ModifyAssistant(ctx, assistantID, openai.AssistantRequest{ + Name: &assistantName, + Description: &assistantDescription, + Model: openai.GPT4TurboPreview, + Instructions: &assistantInstructions, + }) + checks.NoError(t, err, "ModifyAssistant error") + + _, err = client.DeleteAssistant(ctx, assistantID) + checks.NoError(t, err, "DeleteAssistant error") + + _, err = client.ListAssistants(ctx, &limit, &order, &after, &before) + checks.NoError(t, err, "ListAssistants error") + + _, err = client.CreateAssistantFile(ctx, assistantID, openai.AssistantFileRequest{ + FileID: assistantFileID, + }) + checks.NoError(t, err, "CreateAssistantFile error") + + _, err = client.ListAssistantFiles(ctx, assistantID, &limit, &order, &after, &before) + checks.NoError(t, err, "ListAssistantFiles error") + + _, err = client.RetrieveAssistantFile(ctx, assistantID, assistantFileID) + checks.NoError(t, err, "RetrieveAssistantFile error") + + err = client.DeleteAssistantFile(ctx, assistantID, assistantFileID) + checks.NoError(t, err, "DeleteAssistantFile error") +} diff --git a/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/audio.go b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/audio.go new file mode 100644 index 0000000..f321f93 --- /dev/null +++ b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/audio.go @@ -0,0 +1,234 @@ +package openai + +import ( + "bytes" + "context" + "fmt" + "io" + "net/http" + "os" + + utils "github.com/sashabaranov/go-openai/internal" +) + +// Whisper Defines the models provided by OpenAI to use when processing audio with OpenAI. +const ( + Whisper1 = "whisper-1" +) + +// Response formats; Whisper uses AudioResponseFormatJSON by default. +type AudioResponseFormat string + +const ( + AudioResponseFormatJSON AudioResponseFormat = "json" + AudioResponseFormatText AudioResponseFormat = "text" + AudioResponseFormatSRT AudioResponseFormat = "srt" + AudioResponseFormatVerboseJSON AudioResponseFormat = "verbose_json" + AudioResponseFormatVTT AudioResponseFormat = "vtt" +) + +type TranscriptionTimestampGranularity string + +const ( + TranscriptionTimestampGranularityWord TranscriptionTimestampGranularity = "word" + TranscriptionTimestampGranularitySegment TranscriptionTimestampGranularity = "segment" +) + +// AudioRequest represents a request structure for audio API. +type AudioRequest struct { + Model string + + // FilePath is either an existing file in your filesystem or a filename representing the contents of Reader. + FilePath string + + // Reader is an optional io.Reader when you do not want to use an existing file. + Reader io.Reader + + Prompt string + Temperature float32 + Language string // Only for transcription. + Format AudioResponseFormat + TimestampGranularities []TranscriptionTimestampGranularity // Only for transcription. +} + +// AudioResponse represents a response structure for audio API. +type AudioResponse struct { + Task string `json:"task"` + Language string `json:"language"` + Duration float64 `json:"duration"` + Segments []struct { + ID int `json:"id"` + Seek int `json:"seek"` + Start float64 `json:"start"` + End float64 `json:"end"` + Text string `json:"text"` + Tokens []int `json:"tokens"` + Temperature float64 `json:"temperature"` + AvgLogprob float64 `json:"avg_logprob"` + CompressionRatio float64 `json:"compression_ratio"` + NoSpeechProb float64 `json:"no_speech_prob"` + Transient bool `json:"transient"` + } `json:"segments"` + Words []struct { + Word string `json:"word"` + Start float64 `json:"start"` + End float64 `json:"end"` + } `json:"words"` + Text string `json:"text"` + + httpHeader +} + +type audioTextResponse struct { + Text string `json:"text"` + + httpHeader +} + +func (r *audioTextResponse) ToAudioResponse() AudioResponse { + return AudioResponse{ + Text: r.Text, + httpHeader: r.httpHeader, + } +} + +// CreateTranscription — API call to create a transcription. Returns transcribed text. +func (c *Client) CreateTranscription( + ctx context.Context, + request AudioRequest, +) (response AudioResponse, err error) { + return c.callAudioAPI(ctx, request, "transcriptions") +} + +// CreateTranslation — API call to translate audio into English. +func (c *Client) CreateTranslation( + ctx context.Context, + request AudioRequest, +) (response AudioResponse, err error) { + return c.callAudioAPI(ctx, request, "translations") +} + +// callAudioAPI — API call to an audio endpoint. +func (c *Client) callAudioAPI( + ctx context.Context, + request AudioRequest, + endpointSuffix string, +) (response AudioResponse, err error) { + var formBody bytes.Buffer + builder := c.createFormBuilder(&formBody) + + if err = audioMultipartForm(request, builder); err != nil { + return AudioResponse{}, err + } + + urlSuffix := fmt.Sprintf("/audio/%s", endpointSuffix) + req, err := c.newRequest( + ctx, + http.MethodPost, + c.fullURL(urlSuffix, withModel(request.Model)), + withBody(&formBody), + withContentType(builder.FormDataContentType()), + ) + if err != nil { + return AudioResponse{}, err + } + + if request.HasJSONResponse() { + err = c.sendRequest(req, &response) + } else { + var textResponse audioTextResponse + err = c.sendRequest(req, &textResponse) + response = textResponse.ToAudioResponse() + } + if err != nil { + return AudioResponse{}, err + } + return +} + +// HasJSONResponse returns true if the response format is JSON. +func (r AudioRequest) HasJSONResponse() bool { + return r.Format == "" || r.Format == AudioResponseFormatJSON || r.Format == AudioResponseFormatVerboseJSON +} + +// audioMultipartForm creates a form with audio file contents and the name of the model to use for +// audio processing. +func audioMultipartForm(request AudioRequest, b utils.FormBuilder) error { + err := createFileField(request, b) + if err != nil { + return err + } + + err = b.WriteField("model", request.Model) + if err != nil { + return fmt.Errorf("writing model name: %w", err) + } + + // Create a form field for the prompt (if provided) + if request.Prompt != "" { + err = b.WriteField("prompt", request.Prompt) + if err != nil { + return fmt.Errorf("writing prompt: %w", err) + } + } + + // Create a form field for the format (if provided) + if request.Format != "" { + err = b.WriteField("response_format", string(request.Format)) + if err != nil { + return fmt.Errorf("writing format: %w", err) + } + } + + // Create a form field for the temperature (if provided) + if request.Temperature != 0 { + err = b.WriteField("temperature", fmt.Sprintf("%.2f", request.Temperature)) + if err != nil { + return fmt.Errorf("writing temperature: %w", err) + } + } + + // Create a form field for the language (if provided) + if request.Language != "" { + err = b.WriteField("language", request.Language) + if err != nil { + return fmt.Errorf("writing language: %w", err) + } + } + + if len(request.TimestampGranularities) > 0 { + for _, tg := range request.TimestampGranularities { + err = b.WriteField("timestamp_granularities[]", string(tg)) + if err != nil { + return fmt.Errorf("writing timestamp_granularities[]: %w", err) + } + } + } + + // Close the multipart writer + return b.Close() +} + +// createFileField creates the "file" form field from either an existing file or by using the reader. +func createFileField(request AudioRequest, b utils.FormBuilder) error { + if request.Reader != nil { + err := b.CreateFormFileReader("file", request.Reader, request.FilePath) + if err != nil { + return fmt.Errorf("creating form using reader: %w", err) + } + return nil + } + + f, err := os.Open(request.FilePath) + if err != nil { + return fmt.Errorf("opening audio file: %w", err) + } + defer f.Close() + + err = b.CreateFormFile("file", f) + if err != nil { + return fmt.Errorf("creating form file: %w", err) + } + + return nil +} diff --git a/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/audio_api_test.go b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/audio_api_test.go new file mode 100644 index 0000000..6c6a356 --- /dev/null +++ b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/audio_api_test.go @@ -0,0 +1,160 @@ +package openai_test + +import ( + "bytes" + "context" + "errors" + "io" + "mime" + "mime/multipart" + "net/http" + "path/filepath" + "strings" + "testing" + + "github.com/sashabaranov/go-openai" + "github.com/sashabaranov/go-openai/internal/test" + "github.com/sashabaranov/go-openai/internal/test/checks" +) + +// TestAudio Tests the transcription and translation endpoints of the API using the mocked server. +func TestAudio(t *testing.T) { + client, server, teardown := setupOpenAITestServer() + defer teardown() + server.RegisterHandler("/v1/audio/transcriptions", handleAudioEndpoint) + server.RegisterHandler("/v1/audio/translations", handleAudioEndpoint) + + testcases := []struct { + name string + createFn func(context.Context, openai.AudioRequest) (openai.AudioResponse, error) + }{ + { + "transcribe", + client.CreateTranscription, + }, + { + "translate", + client.CreateTranslation, + }, + } + + ctx := context.Background() + + for _, tc := range testcases { + t.Run(tc.name, func(t *testing.T) { + path := filepath.Join(t.TempDir(), "fake.mp3") + test.CreateTestFile(t, path) + + req := openai.AudioRequest{ + FilePath: path, + Model: "whisper-3", + } + _, err := tc.createFn(ctx, req) + checks.NoError(t, err, "audio API error") + }) + + t.Run(tc.name+" (with reader)", func(t *testing.T) { + req := openai.AudioRequest{ + FilePath: "fake.webm", + Reader: bytes.NewBuffer([]byte(`some webm binary data`)), + Model: "whisper-3", + } + _, err := tc.createFn(ctx, req) + checks.NoError(t, err, "audio API error") + }) + } +} + +func TestAudioWithOptionalArgs(t *testing.T) { + client, server, teardown := setupOpenAITestServer() + defer teardown() + server.RegisterHandler("/v1/audio/transcriptions", handleAudioEndpoint) + server.RegisterHandler("/v1/audio/translations", handleAudioEndpoint) + + testcases := []struct { + name string + createFn func(context.Context, openai.AudioRequest) (openai.AudioResponse, error) + }{ + { + "transcribe", + client.CreateTranscription, + }, + { + "translate", + client.CreateTranslation, + }, + } + + ctx := context.Background() + + for _, tc := range testcases { + t.Run(tc.name, func(t *testing.T) { + path := filepath.Join(t.TempDir(), "fake.mp3") + test.CreateTestFile(t, path) + + req := openai.AudioRequest{ + FilePath: path, + Model: "whisper-3", + Prompt: "用简体中文", + Temperature: 0.5, + Language: "zh", + Format: openai.AudioResponseFormatSRT, + TimestampGranularities: []openai.TranscriptionTimestampGranularity{ + openai.TranscriptionTimestampGranularitySegment, + openai.TranscriptionTimestampGranularityWord, + }, + } + _, err := tc.createFn(ctx, req) + checks.NoError(t, err, "audio API error") + }) + } +} + +// handleAudioEndpoint Handles the completion endpoint by the test server. +func handleAudioEndpoint(w http.ResponseWriter, r *http.Request) { + var err error + + // audio endpoints only accept POST requests + if r.Method != "POST" { + http.Error(w, "method not allowed", http.StatusMethodNotAllowed) + } + + mediaType, params, err := mime.ParseMediaType(r.Header.Get("Content-Type")) + if err != nil { + http.Error(w, "failed to parse media type", http.StatusBadRequest) + return + } + + if !strings.HasPrefix(mediaType, "multipart") { + http.Error(w, "request is not multipart", http.StatusBadRequest) + } + + boundary, ok := params["boundary"] + if !ok { + http.Error(w, "no boundary in params", http.StatusBadRequest) + return + } + + fileData := &bytes.Buffer{} + mr := multipart.NewReader(r.Body, boundary) + part, err := mr.NextPart() + if err != nil && errors.Is(err, io.EOF) { + http.Error(w, "error accessing file", http.StatusBadRequest) + return + } + if _, err = io.Copy(fileData, part); err != nil { + http.Error(w, "failed to copy file", http.StatusInternalServerError) + return + } + + if len(fileData.Bytes()) == 0 { + w.WriteHeader(http.StatusInternalServerError) + http.Error(w, "received empty file data", http.StatusBadRequest) + return + } + + if _, err = w.Write([]byte(`{"body": "hello"}`)); err != nil { + http.Error(w, "failed to write body", http.StatusInternalServerError) + return + } +} diff --git a/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/audio_test.go b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/audio_test.go new file mode 100644 index 0000000..51b3f46 --- /dev/null +++ b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/audio_test.go @@ -0,0 +1,241 @@ +package openai //nolint:testpackage // testing private field + +import ( + "bytes" + "context" + "errors" + "fmt" + "io" + "net/http" + "os" + "path/filepath" + "testing" + + utils "github.com/sashabaranov/go-openai/internal" + "github.com/sashabaranov/go-openai/internal/test" + "github.com/sashabaranov/go-openai/internal/test/checks" +) + +func TestAudioWithFailingFormBuilder(t *testing.T) { + path := filepath.Join(t.TempDir(), "fake.mp3") + test.CreateTestFile(t, path) + + req := AudioRequest{ + FilePath: path, + Prompt: "test", + Temperature: 0.5, + Language: "en", + Format: AudioResponseFormatSRT, + TimestampGranularities: []TranscriptionTimestampGranularity{ + TranscriptionTimestampGranularitySegment, + TranscriptionTimestampGranularityWord, + }, + } + + mockFailedErr := fmt.Errorf("mock form builder fail") + mockBuilder := &mockFormBuilder{} + + mockBuilder.mockCreateFormFile = func(string, *os.File) error { + return mockFailedErr + } + err := audioMultipartForm(req, mockBuilder) + checks.ErrorIs(t, err, mockFailedErr, "audioMultipartForm should return error if form builder fails") + + mockBuilder.mockCreateFormFile = func(string, *os.File) error { + return nil + } + + var failForField string + mockBuilder.mockWriteField = func(fieldname, _ string) error { + if fieldname == failForField { + return mockFailedErr + } + return nil + } + + failOn := []string{"model", "prompt", "temperature", "language", "response_format", "timestamp_granularities[]"} + for _, failingField := range failOn { + failForField = failingField + mockFailedErr = fmt.Errorf("mock form builder fail on field %s", failingField) + + err = audioMultipartForm(req, mockBuilder) + checks.ErrorIs(t, err, mockFailedErr, "audioMultipartForm should return error if form builder fails") + } +} + +func TestCreateFileField(t *testing.T) { + t.Run("createFileField failing file", func(t *testing.T) { + path := filepath.Join(t.TempDir(), "fake.mp3") + test.CreateTestFile(t, path) + + req := AudioRequest{ + FilePath: path, + } + + mockFailedErr := fmt.Errorf("mock form builder fail") + mockBuilder := &mockFormBuilder{ + mockCreateFormFile: func(string, *os.File) error { + return mockFailedErr + }, + } + + err := createFileField(req, mockBuilder) + checks.ErrorIs(t, err, mockFailedErr, "createFileField using a file should return error if form builder fails") + }) + + t.Run("createFileField failing reader", func(t *testing.T) { + req := AudioRequest{ + FilePath: "test.wav", + Reader: bytes.NewBuffer([]byte(`wav test contents`)), + } + + mockFailedErr := fmt.Errorf("mock form builder fail") + mockBuilder := &mockFormBuilder{ + mockCreateFormFileReader: func(string, io.Reader, string) error { + return mockFailedErr + }, + } + + err := createFileField(req, mockBuilder) + checks.ErrorIs(t, err, mockFailedErr, "createFileField using a reader should return error if form builder fails") + }) + + t.Run("createFileField failing open", func(t *testing.T) { + req := AudioRequest{ + FilePath: "non_existing_file.wav", + } + + mockBuilder := &mockFormBuilder{} + + err := createFileField(req, mockBuilder) + checks.HasError(t, err, "createFileField using file should return error when open file fails") + }) +} + +// failingFormBuilder always returns an error when creating form files. +type failingFormBuilder struct{ err error } + +func (f *failingFormBuilder) CreateFormFile(_ string, _ *os.File) error { + return f.err +} + +func (f *failingFormBuilder) CreateFormFileReader(_ string, _ io.Reader, _ string) error { + return f.err +} + +func (f *failingFormBuilder) WriteField(_, _ string) error { + return nil +} + +func (f *failingFormBuilder) Close() error { + return nil +} + +func (f *failingFormBuilder) FormDataContentType() string { + return "multipart/form-data" +} + +// failingAudioRequestBuilder simulates an error during HTTP request construction. +type failingAudioRequestBuilder struct{ err error } + +func (f *failingAudioRequestBuilder) Build( + _ context.Context, + _, _ string, + _ any, + _ http.Header, +) (*http.Request, error) { + return nil, f.err +} + +// errorHTTPClient always returns an error when making HTTP calls. +type errorHTTPClient struct{ err error } + +func (e *errorHTTPClient) Do(_ *http.Request) (*http.Response, error) { + return nil, e.err +} + +func TestCallAudioAPIMultipartFormError(t *testing.T) { + client := NewClient("test-token") + errForm := errors.New("mock create form file failure") + // Override form builder to force an error during multipart form creation. + client.createFormBuilder = func(_ io.Writer) utils.FormBuilder { + return &failingFormBuilder{err: errForm} + } + + // Provide a reader so createFileField uses the reader path (no file open). + req := AudioRequest{FilePath: "fake.mp3", Reader: bytes.NewBuffer([]byte("dummy")), Model: Whisper1} + _, err := client.callAudioAPI(context.Background(), req, "transcriptions") + if err == nil { + t.Fatal("expected error but got none") + } + if !errors.Is(err, errForm) { + t.Errorf("expected error %v, got %v", errForm, err) + } +} + +func TestCallAudioAPINewRequestError(t *testing.T) { + client := NewClient("test-token") + // Create a real temp file so multipart form succeeds. + tmp := t.TempDir() + path := filepath.Join(tmp, "file.mp3") + if err := os.WriteFile(path, []byte("content"), 0644); err != nil { + t.Fatalf("failed to write temp file: %v", err) + } + + errBuild := errors.New("mock build failure") + client.requestBuilder = &failingAudioRequestBuilder{err: errBuild} + + req := AudioRequest{FilePath: path, Model: Whisper1} + _, err := client.callAudioAPI(context.Background(), req, "translations") + if err == nil { + t.Fatal("expected error but got none") + } + if !errors.Is(err, errBuild) { + t.Errorf("expected error %v, got %v", errBuild, err) + } +} + +func TestCallAudioAPISendRequestErrorJSON(t *testing.T) { + client := NewClient("test-token") + // Create a real temp file so multipart form succeeds. + tmp := t.TempDir() + path := filepath.Join(tmp, "file.mp3") + if err := os.WriteFile(path, []byte("content"), 0644); err != nil { + t.Fatalf("failed to write temp file: %v", err) + } + + errHTTP := errors.New("mock HTTPClient failure") + // Override HTTP client to simulate a network error. + client.config.HTTPClient = &errorHTTPClient{err: errHTTP} + + req := AudioRequest{FilePath: path, Model: Whisper1} + _, err := client.callAudioAPI(context.Background(), req, "transcriptions") + if err == nil { + t.Fatal("expected error but got none") + } + if !errors.Is(err, errHTTP) { + t.Errorf("expected error %v, got %v", errHTTP, err) + } +} + +func TestCallAudioAPISendRequestErrorText(t *testing.T) { + client := NewClient("test-token") + tmp := t.TempDir() + path := filepath.Join(tmp, "file.mp3") + if err := os.WriteFile(path, []byte("content"), 0644); err != nil { + t.Fatalf("failed to write temp file: %v", err) + } + + errHTTP := errors.New("mock HTTPClient failure") + client.config.HTTPClient = &errorHTTPClient{err: errHTTP} + + // Use a non-JSON response format to exercise the text path. + req := AudioRequest{FilePath: path, Model: Whisper1, Format: AudioResponseFormatText} + _, err := client.callAudioAPI(context.Background(), req, "translations") + if err == nil { + t.Fatal("expected error but got none") + } + if !errors.Is(err, errHTTP) { + t.Errorf("expected error %v, got %v", errHTTP, err) + } +} diff --git a/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/batch.go b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/batch.go new file mode 100644 index 0000000..3c1a9d0 --- /dev/null +++ b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/batch.go @@ -0,0 +1,271 @@ +package openai + +import ( + "bytes" + "context" + "encoding/json" + "fmt" + "net/http" + "net/url" +) + +const batchesSuffix = "/batches" + +type BatchEndpoint string + +const ( + BatchEndpointChatCompletions BatchEndpoint = "/v1/chat/completions" + BatchEndpointCompletions BatchEndpoint = "/v1/completions" + BatchEndpointEmbeddings BatchEndpoint = "/v1/embeddings" +) + +type BatchLineItem interface { + MarshalBatchLineItem() []byte +} + +type BatchChatCompletionRequest struct { + CustomID string `json:"custom_id"` + Body ChatCompletionRequest `json:"body"` + Method string `json:"method"` + URL BatchEndpoint `json:"url"` +} + +func (r BatchChatCompletionRequest) MarshalBatchLineItem() []byte { + marshal, _ := json.Marshal(r) + return marshal +} + +type BatchCompletionRequest struct { + CustomID string `json:"custom_id"` + Body CompletionRequest `json:"body"` + Method string `json:"method"` + URL BatchEndpoint `json:"url"` +} + +func (r BatchCompletionRequest) MarshalBatchLineItem() []byte { + marshal, _ := json.Marshal(r) + return marshal +} + +type BatchEmbeddingRequest struct { + CustomID string `json:"custom_id"` + Body EmbeddingRequest `json:"body"` + Method string `json:"method"` + URL BatchEndpoint `json:"url"` +} + +func (r BatchEmbeddingRequest) MarshalBatchLineItem() []byte { + marshal, _ := json.Marshal(r) + return marshal +} + +type Batch struct { + ID string `json:"id"` + Object string `json:"object"` + Endpoint BatchEndpoint `json:"endpoint"` + Errors *struct { + Object string `json:"object,omitempty"` + Data []struct { + Code string `json:"code,omitempty"` + Message string `json:"message,omitempty"` + Param *string `json:"param,omitempty"` + Line *int `json:"line,omitempty"` + } `json:"data"` + } `json:"errors"` + InputFileID string `json:"input_file_id"` + CompletionWindow string `json:"completion_window"` + Status string `json:"status"` + OutputFileID *string `json:"output_file_id"` + ErrorFileID *string `json:"error_file_id"` + CreatedAt int `json:"created_at"` + InProgressAt *int `json:"in_progress_at"` + ExpiresAt *int `json:"expires_at"` + FinalizingAt *int `json:"finalizing_at"` + CompletedAt *int `json:"completed_at"` + FailedAt *int `json:"failed_at"` + ExpiredAt *int `json:"expired_at"` + CancellingAt *int `json:"cancelling_at"` + CancelledAt *int `json:"cancelled_at"` + RequestCounts BatchRequestCounts `json:"request_counts"` + Metadata map[string]any `json:"metadata"` +} + +type BatchRequestCounts struct { + Total int `json:"total"` + Completed int `json:"completed"` + Failed int `json:"failed"` +} + +type CreateBatchRequest struct { + InputFileID string `json:"input_file_id"` + Endpoint BatchEndpoint `json:"endpoint"` + CompletionWindow string `json:"completion_window"` + Metadata map[string]any `json:"metadata"` +} + +type BatchResponse struct { + httpHeader + Batch +} + +// CreateBatch — API call to Create batch. +func (c *Client) CreateBatch( + ctx context.Context, + request CreateBatchRequest, +) (response BatchResponse, err error) { + if request.CompletionWindow == "" { + request.CompletionWindow = "24h" + } + + req, err := c.newRequest(ctx, http.MethodPost, c.fullURL(batchesSuffix), withBody(request)) + if err != nil { + return + } + + err = c.sendRequest(req, &response) + return +} + +type UploadBatchFileRequest struct { + FileName string + Lines []BatchLineItem +} + +func (r *UploadBatchFileRequest) MarshalJSONL() []byte { + buff := bytes.Buffer{} + for i, line := range r.Lines { + if i != 0 { + buff.Write([]byte("\n")) + } + buff.Write(line.MarshalBatchLineItem()) + } + return buff.Bytes() +} + +func (r *UploadBatchFileRequest) AddChatCompletion(customerID string, body ChatCompletionRequest) { + r.Lines = append(r.Lines, BatchChatCompletionRequest{ + CustomID: customerID, + Body: body, + Method: "POST", + URL: BatchEndpointChatCompletions, + }) +} + +func (r *UploadBatchFileRequest) AddCompletion(customerID string, body CompletionRequest) { + r.Lines = append(r.Lines, BatchCompletionRequest{ + CustomID: customerID, + Body: body, + Method: "POST", + URL: BatchEndpointCompletions, + }) +} + +func (r *UploadBatchFileRequest) AddEmbedding(customerID string, body EmbeddingRequest) { + r.Lines = append(r.Lines, BatchEmbeddingRequest{ + CustomID: customerID, + Body: body, + Method: "POST", + URL: BatchEndpointEmbeddings, + }) +} + +// UploadBatchFile — upload batch file. +func (c *Client) UploadBatchFile(ctx context.Context, request UploadBatchFileRequest) (File, error) { + if request.FileName == "" { + request.FileName = "@batchinput.jsonl" + } + return c.CreateFileBytes(ctx, FileBytesRequest{ + Name: request.FileName, + Bytes: request.MarshalJSONL(), + Purpose: PurposeBatch, + }) +} + +type CreateBatchWithUploadFileRequest struct { + Endpoint BatchEndpoint `json:"endpoint"` + CompletionWindow string `json:"completion_window"` + Metadata map[string]any `json:"metadata"` + UploadBatchFileRequest +} + +// CreateBatchWithUploadFile — API call to Create batch with upload file. +func (c *Client) CreateBatchWithUploadFile( + ctx context.Context, + request CreateBatchWithUploadFileRequest, +) (response BatchResponse, err error) { + var file File + file, err = c.UploadBatchFile(ctx, UploadBatchFileRequest{ + FileName: request.FileName, + Lines: request.Lines, + }) + if err != nil { + return + } + return c.CreateBatch(ctx, CreateBatchRequest{ + InputFileID: file.ID, + Endpoint: request.Endpoint, + CompletionWindow: request.CompletionWindow, + Metadata: request.Metadata, + }) +} + +// RetrieveBatch — API call to Retrieve batch. +func (c *Client) RetrieveBatch( + ctx context.Context, + batchID string, +) (response BatchResponse, err error) { + urlSuffix := fmt.Sprintf("%s/%s", batchesSuffix, batchID) + req, err := c.newRequest(ctx, http.MethodGet, c.fullURL(urlSuffix)) + if err != nil { + return + } + err = c.sendRequest(req, &response) + return +} + +// CancelBatch — API call to Cancel batch. +func (c *Client) CancelBatch( + ctx context.Context, + batchID string, +) (response BatchResponse, err error) { + urlSuffix := fmt.Sprintf("%s/%s/cancel", batchesSuffix, batchID) + req, err := c.newRequest(ctx, http.MethodPost, c.fullURL(urlSuffix)) + if err != nil { + return + } + err = c.sendRequest(req, &response) + return +} + +type ListBatchResponse struct { + httpHeader + Object string `json:"object"` + Data []Batch `json:"data"` + FirstID string `json:"first_id"` + LastID string `json:"last_id"` + HasMore bool `json:"has_more"` +} + +// ListBatch API call to List batch. +func (c *Client) ListBatch(ctx context.Context, after *string, limit *int) (response ListBatchResponse, err error) { + urlValues := url.Values{} + if limit != nil { + urlValues.Add("limit", fmt.Sprintf("%d", *limit)) + } + if after != nil { + urlValues.Add("after", *after) + } + encodedValues := "" + if len(urlValues) > 0 { + encodedValues = "?" + urlValues.Encode() + } + + urlSuffix := fmt.Sprintf("%s%s", batchesSuffix, encodedValues) + req, err := c.newRequest(ctx, http.MethodGet, c.fullURL(urlSuffix)) + if err != nil { + return + } + + err = c.sendRequest(req, &response) + return +} diff --git a/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/batch_test.go b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/batch_test.go new file mode 100644 index 0000000..f4714f4 --- /dev/null +++ b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/batch_test.go @@ -0,0 +1,368 @@ +package openai_test + +import ( + "context" + "fmt" + "net/http" + "reflect" + "testing" + + "github.com/sashabaranov/go-openai" + "github.com/sashabaranov/go-openai/internal/test/checks" +) + +func TestUploadBatchFile(t *testing.T) { + client, server, teardown := setupOpenAITestServer() + defer teardown() + + server.RegisterHandler("/v1/files", handleCreateFile) + req := openai.UploadBatchFileRequest{} + req.AddChatCompletion("req-1", openai.ChatCompletionRequest{ + MaxTokens: 5, + Model: openai.GPT3Dot5Turbo, + Messages: []openai.ChatCompletionMessage{ + { + Role: openai.ChatMessageRoleUser, + Content: "Hello!", + }, + }, + }) + _, err := client.UploadBatchFile(context.Background(), req) + checks.NoError(t, err, "UploadBatchFile error") +} + +func TestCreateBatch(t *testing.T) { + client, server, teardown := setupOpenAITestServer() + defer teardown() + + server.RegisterHandler("/v1/batches", handleBatchEndpoint) + _, err := client.CreateBatch(context.Background(), openai.CreateBatchRequest{ + InputFileID: "file-abc", + Endpoint: openai.BatchEndpointChatCompletions, + CompletionWindow: "24h", + }) + checks.NoError(t, err, "CreateBatch error") +} + +func TestCreateBatchWithUploadFile(t *testing.T) { + client, server, teardown := setupOpenAITestServer() + defer teardown() + server.RegisterHandler("/v1/files", handleCreateFile) + server.RegisterHandler("/v1/batches", handleBatchEndpoint) + req := openai.CreateBatchWithUploadFileRequest{ + Endpoint: openai.BatchEndpointChatCompletions, + } + req.AddChatCompletion("req-1", openai.ChatCompletionRequest{ + MaxTokens: 5, + Model: openai.GPT3Dot5Turbo, + Messages: []openai.ChatCompletionMessage{ + { + Role: openai.ChatMessageRoleUser, + Content: "Hello!", + }, + }, + }) + _, err := client.CreateBatchWithUploadFile(context.Background(), req) + checks.NoError(t, err, "CreateBatchWithUploadFile error") +} + +func TestRetrieveBatch(t *testing.T) { + client, server, teardown := setupOpenAITestServer() + defer teardown() + server.RegisterHandler("/v1/batches/file-id-1", handleRetrieveBatchEndpoint) + _, err := client.RetrieveBatch(context.Background(), "file-id-1") + checks.NoError(t, err, "RetrieveBatch error") +} + +func TestCancelBatch(t *testing.T) { + client, server, teardown := setupOpenAITestServer() + defer teardown() + server.RegisterHandler("/v1/batches/file-id-1/cancel", handleCancelBatchEndpoint) + _, err := client.CancelBatch(context.Background(), "file-id-1") + checks.NoError(t, err, "RetrieveBatch error") +} + +func TestListBatch(t *testing.T) { + client, server, teardown := setupOpenAITestServer() + defer teardown() + server.RegisterHandler("/v1/batches", handleBatchEndpoint) + after := "batch_abc123" + limit := 10 + _, err := client.ListBatch(context.Background(), &after, &limit) + checks.NoError(t, err, "RetrieveBatch error") +} + +func TestUploadBatchFileRequest_AddChatCompletion(t *testing.T) { + type args struct { + customerID string + body openai.ChatCompletionRequest + } + tests := []struct { + name string + args []args + want []byte + }{ + {"", []args{ + { + customerID: "req-1", + body: openai.ChatCompletionRequest{ + MaxTokens: 5, + Model: openai.GPT3Dot5Turbo, + Messages: []openai.ChatCompletionMessage{ + { + Role: openai.ChatMessageRoleUser, + Content: "Hello!", + }, + }, + }, + }, + { + customerID: "req-2", + body: openai.ChatCompletionRequest{ + MaxTokens: 5, + Model: openai.GPT3Dot5Turbo, + Messages: []openai.ChatCompletionMessage{ + { + Role: openai.ChatMessageRoleUser, + Content: "Hello!", + }, + }, + }, + }, + }, []byte("{\"custom_id\":\"req-1\",\"body\":{\"model\":\"gpt-3.5-turbo\",\"messages\":[{\"role\":\"user\",\"content\":\"Hello!\"}],\"max_tokens\":5},\"method\":\"POST\",\"url\":\"/v1/chat/completions\"}\n{\"custom_id\":\"req-2\",\"body\":{\"model\":\"gpt-3.5-turbo\",\"messages\":[{\"role\":\"user\",\"content\":\"Hello!\"}],\"max_tokens\":5},\"method\":\"POST\",\"url\":\"/v1/chat/completions\"}")}, //nolint:lll + } + for _, tt := range tests { + t.Run(tt.name, func(t *testing.T) { + r := &openai.UploadBatchFileRequest{} + for _, arg := range tt.args { + r.AddChatCompletion(arg.customerID, arg.body) + } + got := r.MarshalJSONL() + if !reflect.DeepEqual(got, tt.want) { + t.Errorf("Marshal() got = %v, want %v", got, tt.want) + } + }) + } +} + +func TestUploadBatchFileRequest_AddCompletion(t *testing.T) { + type args struct { + customerID string + body openai.CompletionRequest + } + tests := []struct { + name string + args []args + want []byte + }{ + {"", []args{ + { + customerID: "req-1", + body: openai.CompletionRequest{ + Model: openai.GPT3Dot5Turbo, + User: "Hello", + }, + }, + { + customerID: "req-2", + body: openai.CompletionRequest{ + Model: openai.GPT3Dot5Turbo, + User: "Hello", + }, + }, + }, []byte("{\"custom_id\":\"req-1\",\"body\":{\"model\":\"gpt-3.5-turbo\",\"user\":\"Hello\"},\"method\":\"POST\",\"url\":\"/v1/completions\"}\n{\"custom_id\":\"req-2\",\"body\":{\"model\":\"gpt-3.5-turbo\",\"user\":\"Hello\"},\"method\":\"POST\",\"url\":\"/v1/completions\"}")}, //nolint:lll + } + for _, tt := range tests { + t.Run(tt.name, func(t *testing.T) { + r := &openai.UploadBatchFileRequest{} + for _, arg := range tt.args { + r.AddCompletion(arg.customerID, arg.body) + } + got := r.MarshalJSONL() + if !reflect.DeepEqual(got, tt.want) { + t.Errorf("Marshal() got = %v, want %v", got, tt.want) + } + }) + } +} + +func TestUploadBatchFileRequest_AddEmbedding(t *testing.T) { + type args struct { + customerID string + body openai.EmbeddingRequest + } + tests := []struct { + name string + args []args + want []byte + }{ + {"", []args{ + { + customerID: "req-1", + body: openai.EmbeddingRequest{ + Model: openai.GPT3Dot5Turbo, + Input: []string{"Hello", "World"}, + }, + }, + { + customerID: "req-2", + body: openai.EmbeddingRequest{ + Model: openai.AdaEmbeddingV2, + Input: []string{"Hello", "World"}, + }, + }, + }, []byte("{\"custom_id\":\"req-1\",\"body\":{\"input\":[\"Hello\",\"World\"],\"model\":\"gpt-3.5-turbo\"},\"method\":\"POST\",\"url\":\"/v1/embeddings\"}\n{\"custom_id\":\"req-2\",\"body\":{\"input\":[\"Hello\",\"World\"],\"model\":\"text-embedding-ada-002\"},\"method\":\"POST\",\"url\":\"/v1/embeddings\"}")}, //nolint:lll + } + for _, tt := range tests { + t.Run(tt.name, func(t *testing.T) { + r := &openai.UploadBatchFileRequest{} + for _, arg := range tt.args { + r.AddEmbedding(arg.customerID, arg.body) + } + got := r.MarshalJSONL() + if !reflect.DeepEqual(got, tt.want) { + t.Errorf("Marshal() got = %v, want %v", got, tt.want) + } + }) + } +} + +func handleBatchEndpoint(w http.ResponseWriter, r *http.Request) { + if r.Method == http.MethodPost { + _, _ = fmt.Fprintln(w, `{ + "id": "batch_abc123", + "object": "batch", + "endpoint": "/v1/completions", + "errors": null, + "input_file_id": "file-abc123", + "completion_window": "24h", + "status": "completed", + "output_file_id": "file-cvaTdG", + "error_file_id": "file-HOWS94", + "created_at": 1711471533, + "in_progress_at": 1711471538, + "expires_at": 1711557933, + "finalizing_at": 1711493133, + "completed_at": 1711493163, + "failed_at": null, + "expired_at": null, + "cancelling_at": null, + "cancelled_at": null, + "request_counts": { + "total": 100, + "completed": 95, + "failed": 5 + }, + "metadata": { + "customer_id": "user_123456789", + "batch_description": "Nightly eval job" + } + }`) + } else if r.Method == http.MethodGet { + _, _ = fmt.Fprintln(w, `{ + "object": "list", + "data": [ + { + "id": "batch_abc123", + "object": "batch", + "endpoint": "/v1/chat/completions", + "errors": null, + "input_file_id": "file-abc123", + "completion_window": "24h", + "status": "completed", + "output_file_id": "file-cvaTdG", + "error_file_id": "file-HOWS94", + "created_at": 1711471533, + "in_progress_at": 1711471538, + "expires_at": 1711557933, + "finalizing_at": 1711493133, + "completed_at": 1711493163, + "failed_at": null, + "expired_at": null, + "cancelling_at": null, + "cancelled_at": null, + "request_counts": { + "total": 100, + "completed": 95, + "failed": 5 + }, + "metadata": { + "customer_id": "user_123456789", + "batch_description": "Nightly job" + } + } + ], + "first_id": "batch_abc123", + "last_id": "batch_abc456", + "has_more": true + }`) + } +} + +func handleRetrieveBatchEndpoint(w http.ResponseWriter, r *http.Request) { + if r.Method == http.MethodGet { + _, _ = fmt.Fprintln(w, `{ + "id": "batch_abc123", + "object": "batch", + "endpoint": "/v1/completions", + "errors": null, + "input_file_id": "file-abc123", + "completion_window": "24h", + "status": "completed", + "output_file_id": "file-cvaTdG", + "error_file_id": "file-HOWS94", + "created_at": 1711471533, + "in_progress_at": 1711471538, + "expires_at": 1711557933, + "finalizing_at": 1711493133, + "completed_at": 1711493163, + "failed_at": null, + "expired_at": null, + "cancelling_at": null, + "cancelled_at": null, + "request_counts": { + "total": 100, + "completed": 95, + "failed": 5 + }, + "metadata": { + "customer_id": "user_123456789", + "batch_description": "Nightly eval job" + } + }`) + } +} + +func handleCancelBatchEndpoint(w http.ResponseWriter, r *http.Request) { + if r.Method == http.MethodPost { + _, _ = fmt.Fprintln(w, `{ + "id": "batch_abc123", + "object": "batch", + "endpoint": "/v1/chat/completions", + "errors": null, + "input_file_id": "file-abc123", + "completion_window": "24h", + "status": "cancelling", + "output_file_id": null, + "error_file_id": null, + "created_at": 1711471533, + "in_progress_at": 1711471538, + "expires_at": 1711557933, + "finalizing_at": null, + "completed_at": null, + "failed_at": null, + "expired_at": null, + "cancelling_at": 1711475133, + "cancelled_at": null, + "request_counts": { + "total": 100, + "completed": 23, + "failed": 1 + }, + "metadata": { + "customer_id": "user_123456789", + "batch_description": "Nightly eval job" + } + }`) + } +} diff --git a/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/chat.go b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/chat.go new file mode 100644 index 0000000..0f0c5b5 --- /dev/null +++ b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/chat.go @@ -0,0 +1,474 @@ +package openai + +import ( + "context" + "encoding/json" + "errors" + "net/http" + + "github.com/sashabaranov/go-openai/jsonschema" +) + +// Chat message role defined by the OpenAI API. +const ( + ChatMessageRoleSystem = "system" + ChatMessageRoleUser = "user" + ChatMessageRoleAssistant = "assistant" + ChatMessageRoleFunction = "function" + ChatMessageRoleTool = "tool" + ChatMessageRoleDeveloper = "developer" +) + +const chatCompletionsSuffix = "/chat/completions" + +var ( + ErrChatCompletionInvalidModel = errors.New("this model is not supported with this method, please use CreateCompletion client method instead") //nolint:lll + ErrChatCompletionStreamNotSupported = errors.New("streaming is not supported with this method, please use CreateChatCompletionStream") //nolint:lll + ErrContentFieldsMisused = errors.New("can't use both Content and MultiContent properties simultaneously") +) + +type Hate struct { + Filtered bool `json:"filtered"` + Severity string `json:"severity,omitempty"` +} +type SelfHarm struct { + Filtered bool `json:"filtered"` + Severity string `json:"severity,omitempty"` +} +type Sexual struct { + Filtered bool `json:"filtered"` + Severity string `json:"severity,omitempty"` +} +type Violence struct { + Filtered bool `json:"filtered"` + Severity string `json:"severity,omitempty"` +} + +type JailBreak struct { + Filtered bool `json:"filtered"` + Detected bool `json:"detected"` +} + +type Profanity struct { + Filtered bool `json:"filtered"` + Detected bool `json:"detected"` +} + +type ContentFilterResults struct { + Hate Hate `json:"hate,omitempty"` + SelfHarm SelfHarm `json:"self_harm,omitempty"` + Sexual Sexual `json:"sexual,omitempty"` + Violence Violence `json:"violence,omitempty"` + JailBreak JailBreak `json:"jailbreak,omitempty"` + Profanity Profanity `json:"profanity,omitempty"` +} + +type PromptAnnotation struct { + PromptIndex int `json:"prompt_index,omitempty"` + ContentFilterResults ContentFilterResults `json:"content_filter_results,omitempty"` +} + +type ImageURLDetail string + +const ( + ImageURLDetailHigh ImageURLDetail = "high" + ImageURLDetailLow ImageURLDetail = "low" + ImageURLDetailAuto ImageURLDetail = "auto" +) + +type ChatMessageImageURL struct { + URL string `json:"url,omitempty"` + Detail ImageURLDetail `json:"detail,omitempty"` +} + +type ChatMessagePartType string + +const ( + ChatMessagePartTypeText ChatMessagePartType = "text" + ChatMessagePartTypeImageURL ChatMessagePartType = "image_url" +) + +type ChatMessagePart struct { + Type ChatMessagePartType `json:"type,omitempty"` + Text string `json:"text,omitempty"` + ImageURL *ChatMessageImageURL `json:"image_url,omitempty"` +} + +type ChatCompletionMessage struct { + Role string `json:"role"` + Content string `json:"content,omitempty"` + Refusal string `json:"refusal,omitempty"` + MultiContent []ChatMessagePart + + // This property isn't in the official documentation, but it's in + // the documentation for the official library for python: + // - https://github.com/openai/openai-python/blob/main/chatml.md + // - https://github.com/openai/openai-cookbook/blob/main/examples/How_to_count_tokens_with_tiktoken.ipynb + Name string `json:"name,omitempty"` + + // This property is used for the "reasoning" feature supported by deepseek-reasoner + // which is not in the official documentation. + // the doc from deepseek: + // - https://api-docs.deepseek.com/api/create-chat-completion#responses + ReasoningContent string `json:"reasoning_content,omitempty"` + + FunctionCall *FunctionCall `json:"function_call,omitempty"` + + // For Role=assistant prompts this may be set to the tool calls generated by the model, such as function calls. + ToolCalls []ToolCall `json:"tool_calls,omitempty"` + + // For Role=tool prompts this should be set to the ID given in the assistant's prior request to call a tool. + ToolCallID string `json:"tool_call_id,omitempty"` +} + +func (m ChatCompletionMessage) MarshalJSON() ([]byte, error) { + if m.Content != "" && m.MultiContent != nil { + return nil, ErrContentFieldsMisused + } + if len(m.MultiContent) > 0 { + msg := struct { + Role string `json:"role"` + Content string `json:"-"` + Refusal string `json:"refusal,omitempty"` + MultiContent []ChatMessagePart `json:"content,omitempty"` + Name string `json:"name,omitempty"` + ReasoningContent string `json:"reasoning_content,omitempty"` + FunctionCall *FunctionCall `json:"function_call,omitempty"` + ToolCalls []ToolCall `json:"tool_calls,omitempty"` + ToolCallID string `json:"tool_call_id,omitempty"` + }(m) + return json.Marshal(msg) + } + + msg := struct { + Role string `json:"role"` + Content string `json:"content,omitempty"` + Refusal string `json:"refusal,omitempty"` + MultiContent []ChatMessagePart `json:"-"` + Name string `json:"name,omitempty"` + ReasoningContent string `json:"reasoning_content,omitempty"` + FunctionCall *FunctionCall `json:"function_call,omitempty"` + ToolCalls []ToolCall `json:"tool_calls,omitempty"` + ToolCallID string `json:"tool_call_id,omitempty"` + }(m) + return json.Marshal(msg) +} + +func (m *ChatCompletionMessage) UnmarshalJSON(bs []byte) error { + msg := struct { + Role string `json:"role"` + Content string `json:"content"` + Refusal string `json:"refusal,omitempty"` + MultiContent []ChatMessagePart + Name string `json:"name,omitempty"` + ReasoningContent string `json:"reasoning_content,omitempty"` + FunctionCall *FunctionCall `json:"function_call,omitempty"` + ToolCalls []ToolCall `json:"tool_calls,omitempty"` + ToolCallID string `json:"tool_call_id,omitempty"` + }{} + + if err := json.Unmarshal(bs, &msg); err == nil { + *m = ChatCompletionMessage(msg) + return nil + } + multiMsg := struct { + Role string `json:"role"` + Content string + Refusal string `json:"refusal,omitempty"` + MultiContent []ChatMessagePart `json:"content"` + Name string `json:"name,omitempty"` + ReasoningContent string `json:"reasoning_content,omitempty"` + FunctionCall *FunctionCall `json:"function_call,omitempty"` + ToolCalls []ToolCall `json:"tool_calls,omitempty"` + ToolCallID string `json:"tool_call_id,omitempty"` + }{} + if err := json.Unmarshal(bs, &multiMsg); err != nil { + return err + } + *m = ChatCompletionMessage(multiMsg) + return nil +} + +type ToolCall struct { + // Index is not nil only in chat completion chunk object + Index *int `json:"index,omitempty"` + ID string `json:"id,omitempty"` + Type ToolType `json:"type"` + Function FunctionCall `json:"function"` +} + +type FunctionCall struct { + Name string `json:"name,omitempty"` + // call function with arguments in JSON format + Arguments string `json:"arguments,omitempty"` +} + +type ChatCompletionResponseFormatType string + +const ( + ChatCompletionResponseFormatTypeJSONObject ChatCompletionResponseFormatType = "json_object" + ChatCompletionResponseFormatTypeJSONSchema ChatCompletionResponseFormatType = "json_schema" + ChatCompletionResponseFormatTypeText ChatCompletionResponseFormatType = "text" +) + +type ChatCompletionResponseFormat struct { + Type ChatCompletionResponseFormatType `json:"type,omitempty"` + JSONSchema *ChatCompletionResponseFormatJSONSchema `json:"json_schema,omitempty"` +} + +type ChatCompletionResponseFormatJSONSchema struct { + Name string `json:"name"` + Description string `json:"description,omitempty"` + Schema json.Marshaler `json:"schema"` + Strict bool `json:"strict"` +} + +func (r *ChatCompletionResponseFormatJSONSchema) UnmarshalJSON(data []byte) error { + type rawJSONSchema struct { + Name string `json:"name"` + Description string `json:"description,omitempty"` + Schema json.RawMessage `json:"schema"` + Strict bool `json:"strict"` + } + var raw rawJSONSchema + if err := json.Unmarshal(data, &raw); err != nil { + return err + } + r.Name = raw.Name + r.Description = raw.Description + r.Strict = raw.Strict + if len(raw.Schema) > 0 && string(raw.Schema) != "null" { + var d jsonschema.Definition + err := json.Unmarshal(raw.Schema, &d) + if err != nil { + return err + } + r.Schema = &d + } + return nil +} + +// ChatCompletionRequest represents a request structure for chat completion API. +type ChatCompletionRequest struct { + Model string `json:"model"` + Messages []ChatCompletionMessage `json:"messages"` + // MaxTokens The maximum number of tokens that can be generated in the chat completion. + // This value can be used to control costs for text generated via API. + // This value is now deprecated in favor of max_completion_tokens, and is not compatible with o1 series models. + // refs: https://platform.openai.com/docs/api-reference/chat/create#chat-create-max_tokens + MaxTokens int `json:"max_tokens,omitempty"` + // MaxCompletionTokens An upper bound for the number of tokens that can be generated for a completion, + // including visible output tokens and reasoning tokens https://platform.openai.com/docs/guides/reasoning + MaxCompletionTokens int `json:"max_completion_tokens,omitempty"` + Temperature float32 `json:"temperature,omitempty"` + TopP float32 `json:"top_p,omitempty"` + N int `json:"n,omitempty"` + Stream bool `json:"stream,omitempty"` + Stop []string `json:"stop,omitempty"` + PresencePenalty float32 `json:"presence_penalty,omitempty"` + ResponseFormat *ChatCompletionResponseFormat `json:"response_format,omitempty"` + Seed *int `json:"seed,omitempty"` + FrequencyPenalty float32 `json:"frequency_penalty,omitempty"` + // LogitBias is must be a token id string (specified by their token ID in the tokenizer), not a word string. + // incorrect: `"logit_bias":{"You": 6}`, correct: `"logit_bias":{"1639": 6}` + // refs: https://platform.openai.com/docs/api-reference/chat/create#chat/create-logit_bias + LogitBias map[string]int `json:"logit_bias,omitempty"` + // LogProbs indicates whether to return log probabilities of the output tokens or not. + // If true, returns the log probabilities of each output token returned in the content of message. + // This option is currently not available on the gpt-4-vision-preview model. + LogProbs bool `json:"logprobs,omitempty"` + // TopLogProbs is an integer between 0 and 5 specifying the number of most likely tokens to return at each + // token position, each with an associated log probability. + // logprobs must be set to true if this parameter is used. + TopLogProbs int `json:"top_logprobs,omitempty"` + User string `json:"user,omitempty"` + // Deprecated: use Tools instead. + Functions []FunctionDefinition `json:"functions,omitempty"` + // Deprecated: use ToolChoice instead. + FunctionCall any `json:"function_call,omitempty"` + Tools []Tool `json:"tools,omitempty"` + // This can be either a string or an ToolChoice object. + ToolChoice any `json:"tool_choice,omitempty"` + // Options for streaming response. Only set this when you set stream: true. + StreamOptions *StreamOptions `json:"stream_options,omitempty"` + // Disable the default behavior of parallel tool calls by setting it: false. + ParallelToolCalls any `json:"parallel_tool_calls,omitempty"` + // Store can be set to true to store the output of this completion request for use in distillations and evals. + // https://platform.openai.com/docs/api-reference/chat/create#chat-create-store + Store bool `json:"store,omitempty"` + // Controls effort on reasoning for reasoning models. It can be set to "low", "medium", or "high". + ReasoningEffort string `json:"reasoning_effort,omitempty"` + // Metadata to store with the completion. + Metadata map[string]string `json:"metadata,omitempty"` + // Configuration for a predicted output. + Prediction *Prediction `json:"prediction,omitempty"` + // ChatTemplateKwargs provides a way to add non-standard parameters to the request body. + // Additional kwargs to pass to the template renderer. Will be accessible by the chat template. + // Such as think mode for qwen3. "chat_template_kwargs": {"enable_thinking": false} + // https://qwen.readthedocs.io/en/latest/deployment/vllm.html#thinking-non-thinking-modes + ChatTemplateKwargs map[string]any `json:"chat_template_kwargs,omitempty"` + // Specifies the latency tier to use for processing the request. + ServiceTier ServiceTier `json:"service_tier,omitempty"` +} + +type StreamOptions struct { + // If set, an additional chunk will be streamed before the data: [DONE] message. + // The usage field on this chunk shows the token usage statistics for the entire request, + // and the choices field will always be an empty array. + // All other chunks will also include a usage field, but with a null value. + IncludeUsage bool `json:"include_usage,omitempty"` +} + +type ToolType string + +const ( + ToolTypeFunction ToolType = "function" +) + +type Tool struct { + Type ToolType `json:"type"` + Function *FunctionDefinition `json:"function,omitempty"` +} + +type ToolChoice struct { + Type ToolType `json:"type"` + Function ToolFunction `json:"function,omitempty"` +} + +type ToolFunction struct { + Name string `json:"name"` +} + +type FunctionDefinition struct { + Name string `json:"name"` + Description string `json:"description,omitempty"` + Strict bool `json:"strict,omitempty"` + // Parameters is an object describing the function. + // You can pass json.RawMessage to describe the schema, + // or you can pass in a struct which serializes to the proper JSON schema. + // The jsonschema package is provided for convenience, but you should + // consider another specialized library if you require more complex schemas. + Parameters any `json:"parameters"` +} + +// Deprecated: use FunctionDefinition instead. +type FunctionDefine = FunctionDefinition + +type TopLogProbs struct { + Token string `json:"token"` + LogProb float64 `json:"logprob"` + Bytes []byte `json:"bytes,omitempty"` +} + +// LogProb represents the probability information for a token. +type LogProb struct { + Token string `json:"token"` + LogProb float64 `json:"logprob"` + Bytes []byte `json:"bytes,omitempty"` // Omitting the field if it is null + // TopLogProbs is a list of the most likely tokens and their log probability, at this token position. + // In rare cases, there may be fewer than the number of requested top_logprobs returned. + TopLogProbs []TopLogProbs `json:"top_logprobs"` +} + +// LogProbs is the top-level structure containing the log probability information. +type LogProbs struct { + // Content is a list of message content tokens with log probability information. + Content []LogProb `json:"content"` +} + +type Prediction struct { + Content string `json:"content"` + Type string `json:"type"` +} + +type FinishReason string + +const ( + FinishReasonStop FinishReason = "stop" + FinishReasonLength FinishReason = "length" + FinishReasonFunctionCall FinishReason = "function_call" + FinishReasonToolCalls FinishReason = "tool_calls" + FinishReasonContentFilter FinishReason = "content_filter" + FinishReasonNull FinishReason = "null" +) + +type ServiceTier string + +const ( + ServiceTierAuto ServiceTier = "auto" + ServiceTierDefault ServiceTier = "default" + ServiceTierFlex ServiceTier = "flex" + ServiceTierPriority ServiceTier = "priority" +) + +func (r FinishReason) MarshalJSON() ([]byte, error) { + if r == FinishReasonNull || r == "" { + return []byte("null"), nil + } + return []byte(`"` + string(r) + `"`), nil // best effort to not break future API changes +} + +type ChatCompletionChoice struct { + Index int `json:"index"` + Message ChatCompletionMessage `json:"message"` + // FinishReason + // stop: API returned complete message, + // or a message terminated by one of the stop sequences provided via the stop parameter + // length: Incomplete model output due to max_tokens parameter or token limit + // function_call: The model decided to call a function + // content_filter: Omitted content due to a flag from our content filters + // null: API response still in progress or incomplete + FinishReason FinishReason `json:"finish_reason"` + LogProbs *LogProbs `json:"logprobs,omitempty"` + ContentFilterResults ContentFilterResults `json:"content_filter_results,omitempty"` +} + +// ChatCompletionResponse represents a response structure for chat completion API. +type ChatCompletionResponse struct { + ID string `json:"id"` + Object string `json:"object"` + Created int64 `json:"created"` + Model string `json:"model"` + Choices []ChatCompletionChoice `json:"choices"` + Usage Usage `json:"usage"` + SystemFingerprint string `json:"system_fingerprint"` + PromptFilterResults []PromptFilterResult `json:"prompt_filter_results,omitempty"` + ServiceTier ServiceTier `json:"service_tier,omitempty"` + + httpHeader +} + +// CreateChatCompletion — API call to Create a completion for the chat message. +func (c *Client) CreateChatCompletion( + ctx context.Context, + request ChatCompletionRequest, +) (response ChatCompletionResponse, err error) { + if request.Stream { + err = ErrChatCompletionStreamNotSupported + return + } + + urlSuffix := chatCompletionsSuffix + if !checkEndpointSupportsModel(urlSuffix, request.Model) { + err = ErrChatCompletionInvalidModel + return + } + + reasoningValidator := NewReasoningValidator() + if err = reasoningValidator.Validate(request); err != nil { + return + } + + req, err := c.newRequest( + ctx, + http.MethodPost, + c.fullURL(urlSuffix, withModel(request.Model)), + withBody(request), + ) + if err != nil { + return + } + + err = c.sendRequest(req, &response) + return +} diff --git a/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/chat_stream.go b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/chat_stream.go new file mode 100644 index 0000000..80d16cc --- /dev/null +++ b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/chat_stream.go @@ -0,0 +1,112 @@ +package openai + +import ( + "context" + "net/http" +) + +type ChatCompletionStreamChoiceDelta struct { + Content string `json:"content,omitempty"` + Role string `json:"role,omitempty"` + FunctionCall *FunctionCall `json:"function_call,omitempty"` + ToolCalls []ToolCall `json:"tool_calls,omitempty"` + Refusal string `json:"refusal,omitempty"` + + // This property is used for the "reasoning" feature supported by deepseek-reasoner + // which is not in the official documentation. + // the doc from deepseek: + // - https://api-docs.deepseek.com/api/create-chat-completion#responses + ReasoningContent string `json:"reasoning_content,omitempty"` +} + +type ChatCompletionStreamChoiceLogprobs struct { + Content []ChatCompletionTokenLogprob `json:"content,omitempty"` + Refusal []ChatCompletionTokenLogprob `json:"refusal,omitempty"` +} + +type ChatCompletionTokenLogprob struct { + Token string `json:"token"` + Bytes []int64 `json:"bytes,omitempty"` + Logprob float64 `json:"logprob,omitempty"` + TopLogprobs []ChatCompletionTokenLogprobTopLogprob `json:"top_logprobs"` +} + +type ChatCompletionTokenLogprobTopLogprob struct { + Token string `json:"token"` + Bytes []int64 `json:"bytes"` + Logprob float64 `json:"logprob"` +} + +type ChatCompletionStreamChoice struct { + Index int `json:"index"` + Delta ChatCompletionStreamChoiceDelta `json:"delta"` + Logprobs *ChatCompletionStreamChoiceLogprobs `json:"logprobs,omitempty"` + FinishReason FinishReason `json:"finish_reason"` + ContentFilterResults ContentFilterResults `json:"content_filter_results,omitempty"` +} + +type PromptFilterResult struct { + Index int `json:"index"` + ContentFilterResults ContentFilterResults `json:"content_filter_results,omitempty"` +} + +type ChatCompletionStreamResponse struct { + ID string `json:"id"` + Object string `json:"object"` + Created int64 `json:"created"` + Model string `json:"model"` + Choices []ChatCompletionStreamChoice `json:"choices"` + SystemFingerprint string `json:"system_fingerprint"` + PromptAnnotations []PromptAnnotation `json:"prompt_annotations,omitempty"` + PromptFilterResults []PromptFilterResult `json:"prompt_filter_results,omitempty"` + // An optional field that will only be present when you set stream_options: {"include_usage": true} in your request. + // When present, it contains a null value except for the last chunk which contains the token usage statistics + // for the entire request. + Usage *Usage `json:"usage,omitempty"` +} + +// ChatCompletionStream +// Note: Perhaps it is more elegant to abstract Stream using generics. +type ChatCompletionStream struct { + *streamReader[ChatCompletionStreamResponse] +} + +// CreateChatCompletionStream — API call to create a chat completion w/ streaming +// support. It sets whether to stream back partial progress. If set, tokens will be +// sent as data-only server-sent events as they become available, with the +// stream terminated by a data: [DONE] message. +func (c *Client) CreateChatCompletionStream( + ctx context.Context, + request ChatCompletionRequest, +) (stream *ChatCompletionStream, err error) { + urlSuffix := chatCompletionsSuffix + if !checkEndpointSupportsModel(urlSuffix, request.Model) { + err = ErrChatCompletionInvalidModel + return + } + + request.Stream = true + reasoningValidator := NewReasoningValidator() + if err = reasoningValidator.Validate(request); err != nil { + return + } + + req, err := c.newRequest( + ctx, + http.MethodPost, + c.fullURL(urlSuffix, withModel(request.Model)), + withBody(request), + ) + if err != nil { + return nil, err + } + + resp, err := sendRequestStream[ChatCompletionStreamResponse](c, req) + if err != nil { + return + } + stream = &ChatCompletionStream{ + streamReader: resp, + } + return +} diff --git a/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/chat_stream_test.go b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/chat_stream_test.go new file mode 100644 index 0000000..eabb0f3 --- /dev/null +++ b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/chat_stream_test.go @@ -0,0 +1,1023 @@ +package openai_test + +import ( + "context" + "encoding/json" + "errors" + "fmt" + "io" + "net/http" + "strconv" + "testing" + + "github.com/sashabaranov/go-openai" + "github.com/sashabaranov/go-openai/internal/test/checks" +) + +func TestChatCompletionsStreamWrongModel(t *testing.T) { + config := openai.DefaultConfig("whatever") + config.BaseURL = "http://localhost/v1" + client := openai.NewClientWithConfig(config) + ctx := context.Background() + + req := openai.ChatCompletionRequest{ + MaxTokens: 5, + Model: "ada", + Messages: []openai.ChatCompletionMessage{ + { + Role: openai.ChatMessageRoleUser, + Content: "Hello!", + }, + }, + } + _, err := client.CreateChatCompletionStream(ctx, req) + if !errors.Is(err, openai.ErrChatCompletionInvalidModel) { + t.Fatalf("CreateChatCompletion should return ErrChatCompletionInvalidModel, but returned: %v", err) + } +} + +func TestCreateChatCompletionStream(t *testing.T) { + client, server, teardown := setupOpenAITestServer() + defer teardown() + server.RegisterHandler("/v1/chat/completions", func(w http.ResponseWriter, _ *http.Request) { + w.Header().Set("Content-Type", "text/event-stream") + + // Send test responses + dataBytes := []byte{} + dataBytes = append(dataBytes, []byte("event: message\n")...) + //nolint:lll + data := `{"id":"1","object":"completion","created":1598069254,"model":"gpt-3.5-turbo","system_fingerprint": "fp_d9767fc5b9","choices":[{"index":0,"delta":{"content":"response1"},"finish_reason":"max_tokens"}]}` + dataBytes = append(dataBytes, []byte("data: "+data+"\n\n")...) + + dataBytes = append(dataBytes, []byte("event: message\n")...) + //nolint:lll + data = `{"id":"2","object":"completion","created":1598069255,"model":"gpt-3.5-turbo","system_fingerprint": "fp_d9767fc5b9","choices":[{"index":0,"delta":{"content":"response2"},"finish_reason":"max_tokens"}]}` + dataBytes = append(dataBytes, []byte("data: "+data+"\n\n")...) + + dataBytes = append(dataBytes, []byte("event: done\n")...) + dataBytes = append(dataBytes, []byte("data: [DONE]\n\n")...) + + _, err := w.Write(dataBytes) + checks.NoError(t, err, "Write error") + }) + + stream, err := client.CreateChatCompletionStream(context.Background(), openai.ChatCompletionRequest{ + MaxTokens: 5, + Model: openai.GPT3Dot5Turbo, + Messages: []openai.ChatCompletionMessage{ + { + Role: openai.ChatMessageRoleUser, + Content: "Hello!", + }, + }, + Stream: true, + }) + checks.NoError(t, err, "CreateCompletionStream returned error") + defer stream.Close() + + expectedResponses := []openai.ChatCompletionStreamResponse{ + { + ID: "1", + Object: "completion", + Created: 1598069254, + Model: openai.GPT3Dot5Turbo, + SystemFingerprint: "fp_d9767fc5b9", + Choices: []openai.ChatCompletionStreamChoice{ + { + Delta: openai.ChatCompletionStreamChoiceDelta{ + Content: "response1", + }, + FinishReason: "max_tokens", + }, + }, + }, + { + ID: "2", + Object: "completion", + Created: 1598069255, + Model: openai.GPT3Dot5Turbo, + SystemFingerprint: "fp_d9767fc5b9", + Choices: []openai.ChatCompletionStreamChoice{ + { + Delta: openai.ChatCompletionStreamChoiceDelta{ + Content: "response2", + }, + FinishReason: "max_tokens", + }, + }, + }, + } + + for ix, expectedResponse := range expectedResponses { + b, _ := json.Marshal(expectedResponse) + t.Logf("%d: %s", ix, string(b)) + + receivedResponse, streamErr := stream.Recv() + checks.NoError(t, streamErr, "stream.Recv() failed") + if !compareChatResponses(expectedResponse, receivedResponse) { + t.Errorf("Stream response %v is %v, expected %v", ix, receivedResponse, expectedResponse) + } + } + + _, streamErr := stream.Recv() + if !errors.Is(streamErr, io.EOF) { + t.Errorf("stream.Recv() did not return EOF in the end: %v", streamErr) + } + + _, streamErr = stream.Recv() + + checks.ErrorIs(t, streamErr, io.EOF, "stream.Recv() did not return EOF when the stream is finished") + if !errors.Is(streamErr, io.EOF) { + t.Errorf("stream.Recv() did not return EOF when the stream is finished: %v", streamErr) + } +} + +func TestCreateChatCompletionStreamError(t *testing.T) { + client, server, teardown := setupOpenAITestServer() + defer teardown() + server.RegisterHandler("/v1/chat/completions", func(w http.ResponseWriter, _ *http.Request) { + w.Header().Set("Content-Type", "text/event-stream") + + // Send test responses + dataBytes := []byte{} + dataStr := []string{ + `{`, + `"error": {`, + `"message": "Incorrect API key provided: sk-***************************************",`, + `"type": "invalid_request_error",`, + `"param": null,`, + `"code": "invalid_api_key"`, + `}`, + `}`, + } + for _, str := range dataStr { + dataBytes = append(dataBytes, []byte(str+"\n")...) + } + + _, err := w.Write(dataBytes) + checks.NoError(t, err, "Write error") + }) + + stream, err := client.CreateChatCompletionStream(context.Background(), openai.ChatCompletionRequest{ + MaxTokens: 5, + Model: openai.GPT3Dot5Turbo, + Messages: []openai.ChatCompletionMessage{ + { + Role: openai.ChatMessageRoleUser, + Content: "Hello!", + }, + }, + Stream: true, + }) + checks.NoError(t, err, "CreateCompletionStream returned error") + defer stream.Close() + + _, streamErr := stream.Recv() + checks.HasError(t, streamErr, "stream.Recv() did not return error") + + var apiErr *openai.APIError + if !errors.As(streamErr, &apiErr) { + t.Errorf("stream.Recv() did not return APIError") + } + t.Logf("%+v\n", apiErr) +} + +func TestCreateChatCompletionStreamWithHeaders(t *testing.T) { + client, server, teardown := setupOpenAITestServer() + defer teardown() + server.RegisterHandler("/v1/chat/completions", func(w http.ResponseWriter, _ *http.Request) { + w.Header().Set("Content-Type", "text/event-stream") + w.Header().Set(xCustomHeader, xCustomHeaderValue) + + // Send test responses + //nolint:lll + dataBytes := []byte(`data: {"error":{"message":"The server had an error while processing your request. Sorry about that!", "type":"server_ error", "param":null,"code":null}}`) + dataBytes = append(dataBytes, []byte("\n\ndata: [DONE]\n\n")...) + + _, err := w.Write(dataBytes) + checks.NoError(t, err, "Write error") + }) + + stream, err := client.CreateChatCompletionStream(context.Background(), openai.ChatCompletionRequest{ + MaxTokens: 5, + Model: openai.GPT3Dot5Turbo, + Messages: []openai.ChatCompletionMessage{ + { + Role: openai.ChatMessageRoleUser, + Content: "Hello!", + }, + }, + Stream: true, + }) + checks.NoError(t, err, "CreateCompletionStream returned error") + defer stream.Close() + + value := stream.Header().Get(xCustomHeader) + if value != xCustomHeaderValue { + t.Errorf("expected %s to be %s", xCustomHeaderValue, value) + } +} + +func TestCreateChatCompletionStreamWithRatelimitHeaders(t *testing.T) { + client, server, teardown := setupOpenAITestServer() + defer teardown() + server.RegisterHandler("/v1/chat/completions", func(w http.ResponseWriter, _ *http.Request) { + w.Header().Set("Content-Type", "text/event-stream") + for k, v := range rateLimitHeaders { + switch val := v.(type) { + case int: + w.Header().Set(k, strconv.Itoa(val)) + default: + w.Header().Set(k, fmt.Sprintf("%s", v)) + } + } + + // Send test responses + //nolint:lll + dataBytes := []byte(`data: {"error":{"message":"The server had an error while processing your request. Sorry about that!", "type":"server_ error", "param":null,"code":null}}`) + dataBytes = append(dataBytes, []byte("\n\ndata: [DONE]\n\n")...) + + _, err := w.Write(dataBytes) + checks.NoError(t, err, "Write error") + }) + + stream, err := client.CreateChatCompletionStream(context.Background(), openai.ChatCompletionRequest{ + MaxTokens: 5, + Model: openai.GPT3Dot5Turbo, + Messages: []openai.ChatCompletionMessage{ + { + Role: openai.ChatMessageRoleUser, + Content: "Hello!", + }, + }, + Stream: true, + }) + checks.NoError(t, err, "CreateCompletionStream returned error") + defer stream.Close() + + headers := stream.GetRateLimitHeaders() + bs1, _ := json.Marshal(headers) + bs2, _ := json.Marshal(rateLimitHeaders) + if string(bs1) != string(bs2) { + t.Errorf("expected rate limit header %s to be %s", bs2, bs1) + } +} + +func TestCreateChatCompletionStreamErrorWithDataPrefix(t *testing.T) { + client, server, teardown := setupOpenAITestServer() + defer teardown() + server.RegisterHandler("/v1/chat/completions", func(w http.ResponseWriter, _ *http.Request) { + w.Header().Set("Content-Type", "text/event-stream") + + // Send test responses + //nolint:lll + dataBytes := []byte(`data: {"error":{"message":"The server had an error while processing your request. Sorry about that!", "type":"server_ error", "param":null,"code":null}}`) + dataBytes = append(dataBytes, []byte("\n\ndata: [DONE]\n\n")...) + + _, err := w.Write(dataBytes) + checks.NoError(t, err, "Write error") + }) + + stream, err := client.CreateChatCompletionStream(context.Background(), openai.ChatCompletionRequest{ + MaxTokens: 5, + Model: openai.GPT3Dot5Turbo, + Messages: []openai.ChatCompletionMessage{ + { + Role: openai.ChatMessageRoleUser, + Content: "Hello!", + }, + }, + Stream: true, + }) + checks.NoError(t, err, "CreateCompletionStream returned error") + defer stream.Close() + + _, streamErr := stream.Recv() + checks.HasError(t, streamErr, "stream.Recv() did not return error") + + var apiErr *openai.APIError + if !errors.As(streamErr, &apiErr) { + t.Errorf("stream.Recv() did not return APIError") + } + t.Logf("%+v\n", apiErr) +} + +func TestCreateChatCompletionStreamRateLimitError(t *testing.T) { + client, server, teardown := setupOpenAITestServer() + defer teardown() + server.RegisterHandler("/v1/chat/completions", func(w http.ResponseWriter, _ *http.Request) { + w.Header().Set("Content-Type", "application/json") + w.WriteHeader(429) + + // Send test responses + dataBytes := []byte(`{"error":{` + + `"message": "You are sending requests too quickly.",` + + `"type":"rate_limit_reached",` + + `"param":null,` + + `"code":"rate_limit_reached"}}`) + + _, err := w.Write(dataBytes) + checks.NoError(t, err, "Write error") + }) + _, err := client.CreateChatCompletionStream(context.Background(), openai.ChatCompletionRequest{ + MaxTokens: 5, + Model: openai.GPT3Dot5Turbo, + Messages: []openai.ChatCompletionMessage{ + { + Role: openai.ChatMessageRoleUser, + Content: "Hello!", + }, + }, + Stream: true, + }) + var apiErr *openai.APIError + if !errors.As(err, &apiErr) { + t.Errorf("TestCreateChatCompletionStreamRateLimitError did not return APIError") + } + t.Logf("%+v\n", apiErr) +} + +func TestCreateChatCompletionStreamWithRefusal(t *testing.T) { + client, server, teardown := setupOpenAITestServer() + defer teardown() + server.RegisterHandler("/v1/chat/completions", func(w http.ResponseWriter, _ *http.Request) { + w.Header().Set("Content-Type", "text/event-stream") + + dataBytes := []byte{} + + //nolint:lll + dataBytes = append(dataBytes, []byte(`data: {"id":"1","object":"chat.completion.chunk","created":1729585728,"model":"gpt-4o-mini-2024-07-18","system_fingerprint":"fp_d9767fc5b9","choices":[{"index":0,"delta":{"role":"assistant","content":"","refusal":null},"finish_reason":null}]}`)...) + dataBytes = append(dataBytes, []byte("\n\n")...) + + //nolint:lll + dataBytes = append(dataBytes, []byte(`data: {"id":"2","object":"chat.completion.chunk","created":1729585728,"model":"gpt-4o-mini-2024-07-18","system_fingerprint":"fp_d9767fc5b9","choices":[{"index":0,"delta":{"refusal":"Hello"},"finish_reason":null}]}`)...) + dataBytes = append(dataBytes, []byte("\n\n")...) + + //nolint:lll + dataBytes = append(dataBytes, []byte(`data: {"id":"3","object":"chat.completion.chunk","created":1729585728,"model":"gpt-4o-mini-2024-07-18","system_fingerprint":"fp_d9767fc5b9","choices":[{"index":0,"delta":{"refusal":" World"},"finish_reason":null}]}`)...) + dataBytes = append(dataBytes, []byte("\n\n")...) + + //nolint:lll + dataBytes = append(dataBytes, []byte(`data: {"id":"4","object":"chat.completion.chunk","created":1729585728,"model":"gpt-4o-mini-2024-07-18","system_fingerprint":"fp_d9767fc5b9","choices":[{"index":0,"delta":{},"finish_reason":"stop"}]}`)...) + dataBytes = append(dataBytes, []byte("\n\n")...) + + dataBytes = append(dataBytes, []byte("data: [DONE]\n\n")...) + + _, err := w.Write(dataBytes) + checks.NoError(t, err, "Write error") + }) + + stream, err := client.CreateChatCompletionStream(context.Background(), openai.ChatCompletionRequest{ + MaxTokens: 2000, + Model: openai.GPT4oMini20240718, + Messages: []openai.ChatCompletionMessage{ + { + Role: openai.ChatMessageRoleUser, + Content: "Hello!", + }, + }, + Stream: true, + }) + checks.NoError(t, err, "CreateCompletionStream returned error") + defer stream.Close() + + expectedResponses := []openai.ChatCompletionStreamResponse{ + { + ID: "1", + Object: "chat.completion.chunk", + Created: 1729585728, + Model: openai.GPT4oMini20240718, + SystemFingerprint: "fp_d9767fc5b9", + Choices: []openai.ChatCompletionStreamChoice{ + { + Index: 0, + Delta: openai.ChatCompletionStreamChoiceDelta{}, + }, + }, + }, + { + ID: "2", + Object: "chat.completion.chunk", + Created: 1729585728, + Model: openai.GPT4oMini20240718, + SystemFingerprint: "fp_d9767fc5b9", + Choices: []openai.ChatCompletionStreamChoice{ + { + Index: 0, + Delta: openai.ChatCompletionStreamChoiceDelta{ + Refusal: "Hello", + }, + }, + }, + }, + { + ID: "3", + Object: "chat.completion.chunk", + Created: 1729585728, + Model: openai.GPT4oMini20240718, + SystemFingerprint: "fp_d9767fc5b9", + Choices: []openai.ChatCompletionStreamChoice{ + { + Index: 0, + Delta: openai.ChatCompletionStreamChoiceDelta{ + Refusal: " World", + }, + }, + }, + }, + { + ID: "4", + Object: "chat.completion.chunk", + Created: 1729585728, + Model: openai.GPT4oMini20240718, + SystemFingerprint: "fp_d9767fc5b9", + Choices: []openai.ChatCompletionStreamChoice{ + { + Index: 0, + FinishReason: "stop", + }, + }, + }, + } + + for ix, expectedResponse := range expectedResponses { + b, _ := json.Marshal(expectedResponse) + t.Logf("%d: %s", ix, string(b)) + + receivedResponse, streamErr := stream.Recv() + checks.NoError(t, streamErr, "stream.Recv() failed") + if !compareChatResponses(expectedResponse, receivedResponse) { + t.Errorf("Stream response %v is %v, expected %v", ix, receivedResponse, expectedResponse) + } + } + + _, streamErr := stream.Recv() + if !errors.Is(streamErr, io.EOF) { + t.Errorf("stream.Recv() did not return EOF in the end: %v", streamErr) + } +} + +func TestCreateChatCompletionStreamWithLogprobs(t *testing.T) { + client, server, teardown := setupOpenAITestServer() + defer teardown() + server.RegisterHandler("/v1/chat/completions", func(w http.ResponseWriter, _ *http.Request) { + w.Header().Set("Content-Type", "text/event-stream") + + // Send test responses + dataBytes := []byte{} + + //nolint:lll + dataBytes = append(dataBytes, []byte(`data: {"id":"1","object":"chat.completion.chunk","created":1729585728,"model":"gpt-4o-mini-2024-07-18","system_fingerprint":"fp_d9767fc5b9","choices":[{"index":0,"delta":{"role":"assistant","content":"","refusal":null},"logprobs":{"content":[],"refusal":null},"finish_reason":null}]}`)...) + dataBytes = append(dataBytes, []byte("\n\n")...) + + //nolint:lll + dataBytes = append(dataBytes, []byte(`data: {"id":"2","object":"chat.completion.chunk","created":1729585728,"model":"gpt-4o-mini-2024-07-18","system_fingerprint":"fp_d9767fc5b9","choices":[{"index":0,"delta":{"content":"Hello"},"logprobs":{"content":[{"token":"Hello","logprob":-0.000020458236,"bytes":[72,101,108,108,111],"top_logprobs":[]}],"refusal":null},"finish_reason":null}]}`)...) + dataBytes = append(dataBytes, []byte("\n\n")...) + + //nolint:lll + dataBytes = append(dataBytes, []byte(`data: {"id":"3","object":"chat.completion.chunk","created":1729585728,"model":"gpt-4o-mini-2024-07-18","system_fingerprint":"fp_d9767fc5b9","choices":[{"index":0,"delta":{"content":" World"},"logprobs":{"content":[{"token":" World","logprob":-0.00055303273,"bytes":[32,87,111,114,108,100],"top_logprobs":[]}],"refusal":null},"finish_reason":null}]}`)...) + dataBytes = append(dataBytes, []byte("\n\n")...) + + //nolint:lll + dataBytes = append(dataBytes, []byte(`data: {"id":"4","object":"chat.completion.chunk","created":1729585728,"model":"gpt-4o-mini-2024-07-18","system_fingerprint":"fp_d9767fc5b9","choices":[{"index":0,"delta":{},"logprobs":null,"finish_reason":"stop"}]}`)...) + dataBytes = append(dataBytes, []byte("\n\n")...) + + dataBytes = append(dataBytes, []byte("data: [DONE]\n\n")...) + + _, err := w.Write(dataBytes) + checks.NoError(t, err, "Write error") + }) + + stream, err := client.CreateChatCompletionStream(context.Background(), openai.ChatCompletionRequest{ + MaxTokens: 2000, + Model: openai.GPT3Dot5Turbo, + Messages: []openai.ChatCompletionMessage{ + { + Role: openai.ChatMessageRoleUser, + Content: "Hello!", + }, + }, + Stream: true, + }) + checks.NoError(t, err, "CreateCompletionStream returned error") + defer stream.Close() + + expectedResponses := []openai.ChatCompletionStreamResponse{ + { + ID: "1", + Object: "chat.completion.chunk", + Created: 1729585728, + Model: openai.GPT4oMini20240718, + SystemFingerprint: "fp_d9767fc5b9", + Choices: []openai.ChatCompletionStreamChoice{ + { + Index: 0, + Delta: openai.ChatCompletionStreamChoiceDelta{}, + Logprobs: &openai.ChatCompletionStreamChoiceLogprobs{ + Content: []openai.ChatCompletionTokenLogprob{}, + }, + }, + }, + }, + { + ID: "2", + Object: "chat.completion.chunk", + Created: 1729585728, + Model: openai.GPT4oMini20240718, + SystemFingerprint: "fp_d9767fc5b9", + Choices: []openai.ChatCompletionStreamChoice{ + { + Index: 0, + Delta: openai.ChatCompletionStreamChoiceDelta{ + Content: "Hello", + }, + Logprobs: &openai.ChatCompletionStreamChoiceLogprobs{ + Content: []openai.ChatCompletionTokenLogprob{ + { + Token: "Hello", + Logprob: -0.000020458236, + Bytes: []int64{72, 101, 108, 108, 111}, + TopLogprobs: []openai.ChatCompletionTokenLogprobTopLogprob{}, + }, + }, + }, + }, + }, + }, + { + ID: "3", + Object: "chat.completion.chunk", + Created: 1729585728, + Model: openai.GPT4oMini20240718, + SystemFingerprint: "fp_d9767fc5b9", + Choices: []openai.ChatCompletionStreamChoice{ + { + Index: 0, + Delta: openai.ChatCompletionStreamChoiceDelta{ + Content: " World", + }, + Logprobs: &openai.ChatCompletionStreamChoiceLogprobs{ + Content: []openai.ChatCompletionTokenLogprob{ + { + Token: " World", + Logprob: -0.00055303273, + Bytes: []int64{32, 87, 111, 114, 108, 100}, + TopLogprobs: []openai.ChatCompletionTokenLogprobTopLogprob{}, + }, + }, + }, + }, + }, + }, + { + ID: "4", + Object: "chat.completion.chunk", + Created: 1729585728, + Model: openai.GPT4oMini20240718, + SystemFingerprint: "fp_d9767fc5b9", + Choices: []openai.ChatCompletionStreamChoice{ + { + Index: 0, + Delta: openai.ChatCompletionStreamChoiceDelta{}, + FinishReason: "stop", + }, + }, + }, + } + + for ix, expectedResponse := range expectedResponses { + b, _ := json.Marshal(expectedResponse) + t.Logf("%d: %s", ix, string(b)) + + receivedResponse, streamErr := stream.Recv() + checks.NoError(t, streamErr, "stream.Recv() failed") + if !compareChatResponses(expectedResponse, receivedResponse) { + t.Errorf("Stream response %v is %v, expected %v", ix, receivedResponse, expectedResponse) + } + } + + _, streamErr := stream.Recv() + if !errors.Is(streamErr, io.EOF) { + t.Errorf("stream.Recv() did not return EOF in the end: %v", streamErr) + } +} + +func TestAzureCreateChatCompletionStreamRateLimitError(t *testing.T) { + wantCode := "429" + wantMessage := "Requests to the Creates a completion for the chat message Operation under Azure OpenAI API " + + "version 2023-03-15-preview have exceeded token rate limit of your current OpenAI S0 pricing tier. " + + "Please retry after 20 seconds. " + + "Please go here: https://aka.ms/oai/quotaincrease if you would like to further increase the default rate limit." + + client, server, teardown := setupAzureTestServer() + defer teardown() + server.RegisterHandler("/openai/deployments/gpt-35-turbo/chat/completions", + func(w http.ResponseWriter, _ *http.Request) { + w.Header().Set("Content-Type", "application/json") + w.WriteHeader(http.StatusTooManyRequests) + // Send test responses + dataBytes := []byte(`{"error": { "code": "` + wantCode + `", "message": "` + wantMessage + `"}}`) + _, err := w.Write(dataBytes) + + checks.NoError(t, err, "Write error") + }) + + apiErr := &openai.APIError{} + _, err := client.CreateChatCompletionStream(context.Background(), openai.ChatCompletionRequest{ + MaxTokens: 5, + Model: openai.GPT3Dot5Turbo, + Messages: []openai.ChatCompletionMessage{ + { + Role: openai.ChatMessageRoleUser, + Content: "Hello!", + }, + }, + Stream: true, + }) + if !errors.As(err, &apiErr) { + t.Errorf("Did not return APIError: %+v\n", apiErr) + return + } + if apiErr.HTTPStatusCode != http.StatusTooManyRequests { + t.Errorf("Did not return HTTPStatusCode got = %d, want = %d\n", apiErr.HTTPStatusCode, http.StatusTooManyRequests) + return + } + code, ok := apiErr.Code.(string) + if !ok || code != wantCode { + t.Errorf("Did not return Code. got = %v, want = %s\n", apiErr.Code, wantCode) + return + } + if apiErr.Message != wantMessage { + t.Errorf("Did not return Message. got = %s, want = %s\n", apiErr.Message, wantMessage) + return + } +} + +func TestCreateChatCompletionStreamStreamOptions(t *testing.T) { + client, server, teardown := setupOpenAITestServer() + defer teardown() + + server.RegisterHandler("/v1/chat/completions", func(w http.ResponseWriter, _ *http.Request) { + w.Header().Set("Content-Type", "text/event-stream") + + // Send test responses + var dataBytes []byte + //nolint:lll + data := `{"id":"1","object":"completion","created":1598069254,"model":"gpt-3.5-turbo","system_fingerprint": "fp_d9767fc5b9","choices":[{"index":0,"delta":{"content":"response1"},"finish_reason":"max_tokens"}],"usage":null}` + dataBytes = append(dataBytes, []byte("data: "+data+"\n\n")...) + + //nolint:lll + data = `{"id":"2","object":"completion","created":1598069255,"model":"gpt-3.5-turbo","system_fingerprint": "fp_d9767fc5b9","choices":[{"index":0,"delta":{"content":"response2"},"finish_reason":"max_tokens"}],"usage":null}` + dataBytes = append(dataBytes, []byte("data: "+data+"\n\n")...) + + //nolint:lll + data = `{"id":"3","object":"completion","created":1598069256,"model":"gpt-3.5-turbo","system_fingerprint": "fp_d9767fc5b9","choices":[],"usage":{"prompt_tokens":1,"completion_tokens":1,"total_tokens":2}}` + dataBytes = append(dataBytes, []byte("data: "+data+"\n\n")...) + + dataBytes = append(dataBytes, []byte("data: [DONE]\n\n")...) + + _, err := w.Write(dataBytes) + checks.NoError(t, err, "Write error") + }) + + stream, err := client.CreateChatCompletionStream(context.Background(), openai.ChatCompletionRequest{ + MaxTokens: 5, + Model: openai.GPT3Dot5Turbo, + Messages: []openai.ChatCompletionMessage{ + { + Role: openai.ChatMessageRoleUser, + Content: "Hello!", + }, + }, + Stream: true, + StreamOptions: &openai.StreamOptions{ + IncludeUsage: true, + }, + }) + checks.NoError(t, err, "CreateCompletionStream returned error") + defer stream.Close() + + expectedResponses := []openai.ChatCompletionStreamResponse{ + { + ID: "1", + Object: "completion", + Created: 1598069254, + Model: openai.GPT3Dot5Turbo, + SystemFingerprint: "fp_d9767fc5b9", + Choices: []openai.ChatCompletionStreamChoice{ + { + Delta: openai.ChatCompletionStreamChoiceDelta{ + Content: "response1", + }, + FinishReason: "max_tokens", + }, + }, + }, + { + ID: "2", + Object: "completion", + Created: 1598069255, + Model: openai.GPT3Dot5Turbo, + SystemFingerprint: "fp_d9767fc5b9", + Choices: []openai.ChatCompletionStreamChoice{ + { + Delta: openai.ChatCompletionStreamChoiceDelta{ + Content: "response2", + }, + FinishReason: "max_tokens", + }, + }, + }, + { + ID: "3", + Object: "completion", + Created: 1598069256, + Model: openai.GPT3Dot5Turbo, + SystemFingerprint: "fp_d9767fc5b9", + Choices: []openai.ChatCompletionStreamChoice{}, + Usage: &openai.Usage{ + PromptTokens: 1, + CompletionTokens: 1, + TotalTokens: 2, + }, + }, + } + + for ix, expectedResponse := range expectedResponses { + b, _ := json.Marshal(expectedResponse) + t.Logf("%d: %s", ix, string(b)) + + receivedResponse, streamErr := stream.Recv() + checks.NoError(t, streamErr, "stream.Recv() failed") + if !compareChatResponses(expectedResponse, receivedResponse) { + t.Errorf("Stream response %v is %v, expected %v", ix, receivedResponse, expectedResponse) + } + } + + _, streamErr := stream.Recv() + if !errors.Is(streamErr, io.EOF) { + t.Errorf("stream.Recv() did not return EOF in the end: %v", streamErr) + } + + _, streamErr = stream.Recv() + + checks.ErrorIs(t, streamErr, io.EOF, "stream.Recv() did not return EOF when the stream is finished") + if !errors.Is(streamErr, io.EOF) { + t.Errorf("stream.Recv() did not return EOF when the stream is finished: %v", streamErr) + } +} + +// Helper funcs. +func compareChatResponses(r1, r2 openai.ChatCompletionStreamResponse) bool { + if r1.ID != r2.ID || r1.Object != r2.Object || r1.Created != r2.Created || r1.Model != r2.Model { + return false + } + if len(r1.Choices) != len(r2.Choices) { + return false + } + for i := range r1.Choices { + if !compareChatStreamResponseChoices(r1.Choices[i], r2.Choices[i]) { + return false + } + } + if r1.Usage != nil || r2.Usage != nil { + if r1.Usage == nil || r2.Usage == nil { + return false + } + if r1.Usage.PromptTokens != r2.Usage.PromptTokens || r1.Usage.CompletionTokens != r2.Usage.CompletionTokens || + r1.Usage.TotalTokens != r2.Usage.TotalTokens { + return false + } + } + return true +} + +func TestCreateChatCompletionStreamWithReasoningModel(t *testing.T) { + client, server, teardown := setupOpenAITestServer() + defer teardown() + server.RegisterHandler("/v1/chat/completions", func(w http.ResponseWriter, _ *http.Request) { + w.Header().Set("Content-Type", "text/event-stream") + + dataBytes := []byte{} + + //nolint:lll + dataBytes = append(dataBytes, []byte(`data: {"id":"1","object":"chat.completion.chunk","created":1729585728,"model":"o3-mini-2025-01-31","system_fingerprint":"fp_mini","choices":[{"index":0,"delta":{"role":"assistant","content":""},"finish_reason":null}]}`)...) + dataBytes = append(dataBytes, []byte("\n\n")...) + + //nolint:lll + dataBytes = append(dataBytes, []byte(`data: {"id":"2","object":"chat.completion.chunk","created":1729585728,"model":"o3-mini-2025-01-31","system_fingerprint":"fp_mini","choices":[{"index":0,"delta":{"content":"Hello"},"finish_reason":null}]}`)...) + dataBytes = append(dataBytes, []byte("\n\n")...) + + //nolint:lll + dataBytes = append(dataBytes, []byte(`data: {"id":"3","object":"chat.completion.chunk","created":1729585728,"model":"o3-mini-2025-01-31","system_fingerprint":"fp_mini","choices":[{"index":0,"delta":{"content":" from"},"finish_reason":null}]}`)...) + dataBytes = append(dataBytes, []byte("\n\n")...) + + //nolint:lll + dataBytes = append(dataBytes, []byte(`data: {"id":"4","object":"chat.completion.chunk","created":1729585728,"model":"o3-mini-2025-01-31","system_fingerprint":"fp_mini","choices":[{"index":0,"delta":{"content":" O3Mini"},"finish_reason":null}]}`)...) + dataBytes = append(dataBytes, []byte("\n\n")...) + + //nolint:lll + dataBytes = append(dataBytes, []byte(`data: {"id":"5","object":"chat.completion.chunk","created":1729585728,"model":"o3-mini-2025-01-31","system_fingerprint":"fp_mini","choices":[{"index":0,"delta":{},"finish_reason":"stop"}]}`)...) + dataBytes = append(dataBytes, []byte("\n\n")...) + + dataBytes = append(dataBytes, []byte("data: [DONE]\n\n")...) + + _, err := w.Write(dataBytes) + checks.NoError(t, err, "Write error") + }) + + stream, err := client.CreateChatCompletionStream(context.Background(), openai.ChatCompletionRequest{ + MaxCompletionTokens: 2000, + Model: openai.O3Mini20250131, + Messages: []openai.ChatCompletionMessage{ + { + Role: openai.ChatMessageRoleUser, + Content: "Hello!", + }, + }, + Stream: true, + }) + checks.NoError(t, err, "CreateCompletionStream returned error") + defer stream.Close() + + expectedResponses := []openai.ChatCompletionStreamResponse{ + { + ID: "1", + Object: "chat.completion.chunk", + Created: 1729585728, + Model: openai.O3Mini20250131, + SystemFingerprint: "fp_mini", + Choices: []openai.ChatCompletionStreamChoice{ + { + Index: 0, + Delta: openai.ChatCompletionStreamChoiceDelta{ + Role: "assistant", + }, + }, + }, + }, + { + ID: "2", + Object: "chat.completion.chunk", + Created: 1729585728, + Model: openai.O3Mini20250131, + SystemFingerprint: "fp_mini", + Choices: []openai.ChatCompletionStreamChoice{ + { + Index: 0, + Delta: openai.ChatCompletionStreamChoiceDelta{ + Content: "Hello", + }, + }, + }, + }, + { + ID: "3", + Object: "chat.completion.chunk", + Created: 1729585728, + Model: openai.O3Mini20250131, + SystemFingerprint: "fp_mini", + Choices: []openai.ChatCompletionStreamChoice{ + { + Index: 0, + Delta: openai.ChatCompletionStreamChoiceDelta{ + Content: " from", + }, + }, + }, + }, + { + ID: "4", + Object: "chat.completion.chunk", + Created: 1729585728, + Model: openai.O3Mini20250131, + SystemFingerprint: "fp_mini", + Choices: []openai.ChatCompletionStreamChoice{ + { + Index: 0, + Delta: openai.ChatCompletionStreamChoiceDelta{ + Content: " O3Mini", + }, + }, + }, + }, + { + ID: "5", + Object: "chat.completion.chunk", + Created: 1729585728, + Model: openai.O3Mini20250131, + SystemFingerprint: "fp_mini", + Choices: []openai.ChatCompletionStreamChoice{ + { + Index: 0, + Delta: openai.ChatCompletionStreamChoiceDelta{}, + FinishReason: "stop", + }, + }, + }, + } + + for ix, expectedResponse := range expectedResponses { + b, _ := json.Marshal(expectedResponse) + t.Logf("%d: %s", ix, string(b)) + + receivedResponse, streamErr := stream.Recv() + checks.NoError(t, streamErr, "stream.Recv() failed") + if !compareChatResponses(expectedResponse, receivedResponse) { + t.Errorf("Stream response %v is %v, expected %v", ix, receivedResponse, expectedResponse) + } + } + + _, streamErr := stream.Recv() + if !errors.Is(streamErr, io.EOF) { + t.Errorf("stream.Recv() did not return EOF in the end: %v", streamErr) + } +} + +func TestCreateChatCompletionStreamReasoningValidatorFails(t *testing.T) { + client, _, _ := setupOpenAITestServer() + + stream, err := client.CreateChatCompletionStream(context.Background(), openai.ChatCompletionRequest{ + MaxTokens: 100, // This will trigger the validator to fail + Model: openai.O3Mini, + Messages: []openai.ChatCompletionMessage{ + { + Role: openai.ChatMessageRoleUser, + Content: "Hello!", + }, + }, + Stream: true, + }) + + if stream != nil { + t.Error("Expected nil stream when validation fails") + stream.Close() + } + + if !errors.Is(err, openai.ErrReasoningModelMaxTokensDeprecated) { + t.Errorf("Expected ErrReasoningModelMaxTokensDeprecated, got: %v", err) + } +} + +func TestCreateChatCompletionStreamO3ReasoningValidatorFails(t *testing.T) { + client, _, _ := setupOpenAITestServer() + + stream, err := client.CreateChatCompletionStream(context.Background(), openai.ChatCompletionRequest{ + MaxTokens: 100, // This will trigger the validator to fail + Model: openai.O3, + Messages: []openai.ChatCompletionMessage{ + { + Role: openai.ChatMessageRoleUser, + Content: "Hello!", + }, + }, + Stream: true, + }) + + if stream != nil { + t.Error("Expected nil stream when validation fails") + stream.Close() + } + + if !errors.Is(err, openai.ErrReasoningModelMaxTokensDeprecated) { + t.Errorf("Expected ErrReasoningModelMaxTokensDeprecated for O3, got: %v", err) + } +} + +func TestCreateChatCompletionStreamO4MiniReasoningValidatorFails(t *testing.T) { + client, _, _ := setupOpenAITestServer() + + stream, err := client.CreateChatCompletionStream(context.Background(), openai.ChatCompletionRequest{ + MaxTokens: 100, // This will trigger the validator to fail + Model: openai.O4Mini, + Messages: []openai.ChatCompletionMessage{ + { + Role: openai.ChatMessageRoleUser, + Content: "Hello!", + }, + }, + Stream: true, + }) + + if stream != nil { + t.Error("Expected nil stream when validation fails") + stream.Close() + } + + if !errors.Is(err, openai.ErrReasoningModelMaxTokensDeprecated) { + t.Errorf("Expected ErrReasoningModelMaxTokensDeprecated for O4Mini, got: %v", err) + } +} + +func compareChatStreamResponseChoices(c1, c2 openai.ChatCompletionStreamChoice) bool { + if c1.Index != c2.Index { + return false + } + if c1.Delta.Content != c2.Delta.Content { + return false + } + if c1.FinishReason != c2.FinishReason { + return false + } + return true +} diff --git a/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/chat_test.go b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/chat_test.go new file mode 100644 index 0000000..172ce07 --- /dev/null +++ b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/chat_test.go @@ -0,0 +1,1087 @@ +package openai_test + +import ( + "context" + "encoding/json" + "errors" + "fmt" + "io" + "net/http" + "strconv" + "strings" + "testing" + "time" + + "github.com/sashabaranov/go-openai" + "github.com/sashabaranov/go-openai/internal/test/checks" + "github.com/sashabaranov/go-openai/jsonschema" +) + +const ( + xCustomHeader = "X-CUSTOM-HEADER" + xCustomHeaderValue = "test" +) + +var rateLimitHeaders = map[string]any{ + "x-ratelimit-limit-requests": 60, + "x-ratelimit-limit-tokens": 150000, + "x-ratelimit-remaining-requests": 59, + "x-ratelimit-remaining-tokens": 149984, + "x-ratelimit-reset-requests": "1s", + "x-ratelimit-reset-tokens": "6m0s", +} + +func TestChatCompletionsWrongModel(t *testing.T) { + config := openai.DefaultConfig("whatever") + config.BaseURL = "http://localhost/v1" + client := openai.NewClientWithConfig(config) + ctx := context.Background() + + req := openai.ChatCompletionRequest{ + MaxTokens: 5, + Model: "ada", + Messages: []openai.ChatCompletionMessage{ + { + Role: openai.ChatMessageRoleUser, + Content: "Hello!", + }, + }, + } + _, err := client.CreateChatCompletion(ctx, req) + msg := fmt.Sprintf("CreateChatCompletion should return wrong model error, returned: %s", err) + checks.ErrorIs(t, err, openai.ErrChatCompletionInvalidModel, msg) +} + +func TestO1ModelsChatCompletionsDeprecatedFields(t *testing.T) { + tests := []struct { + name string + in openai.ChatCompletionRequest + expectedError error + }{ + { + name: "o1-preview_MaxTokens_deprecated", + in: openai.ChatCompletionRequest{ + MaxTokens: 5, + Model: openai.O1Preview, + }, + expectedError: openai.ErrReasoningModelMaxTokensDeprecated, + }, + { + name: "o1-mini_MaxTokens_deprecated", + in: openai.ChatCompletionRequest{ + MaxTokens: 5, + Model: openai.O1Mini, + }, + expectedError: openai.ErrReasoningModelMaxTokensDeprecated, + }, + } + + for _, tt := range tests { + t.Run(tt.name, func(t *testing.T) { + config := openai.DefaultConfig("whatever") + config.BaseURL = "http://localhost/v1" + client := openai.NewClientWithConfig(config) + ctx := context.Background() + + _, err := client.CreateChatCompletion(ctx, tt.in) + checks.HasError(t, err) + msg := fmt.Sprintf("CreateChatCompletion should return wrong model error, returned: %s", err) + checks.ErrorIs(t, err, tt.expectedError, msg) + }) + } +} + +func TestO1ModelsChatCompletionsBetaLimitations(t *testing.T) { + tests := []struct { + name string + in openai.ChatCompletionRequest + expectedError error + }{ + { + name: "log_probs_unsupported", + in: openai.ChatCompletionRequest{ + MaxCompletionTokens: 1000, + LogProbs: true, + Model: openai.O1Preview, + }, + expectedError: openai.ErrReasoningModelLimitationsLogprobs, + }, + { + name: "set_temperature_unsupported", + in: openai.ChatCompletionRequest{ + MaxCompletionTokens: 1000, + Model: openai.O1Mini, + Messages: []openai.ChatCompletionMessage{ + { + Role: openai.ChatMessageRoleUser, + }, + { + Role: openai.ChatMessageRoleAssistant, + }, + }, + Temperature: float32(2), + }, + expectedError: openai.ErrReasoningModelLimitationsOther, + }, + { + name: "set_top_unsupported", + in: openai.ChatCompletionRequest{ + MaxCompletionTokens: 1000, + Model: openai.O1Mini, + Messages: []openai.ChatCompletionMessage{ + { + Role: openai.ChatMessageRoleUser, + }, + { + Role: openai.ChatMessageRoleAssistant, + }, + }, + Temperature: float32(1), + TopP: float32(0.1), + }, + expectedError: openai.ErrReasoningModelLimitationsOther, + }, + { + name: "set_n_unsupported", + in: openai.ChatCompletionRequest{ + MaxCompletionTokens: 1000, + Model: openai.O1Mini, + Messages: []openai.ChatCompletionMessage{ + { + Role: openai.ChatMessageRoleUser, + }, + { + Role: openai.ChatMessageRoleAssistant, + }, + }, + Temperature: float32(1), + TopP: float32(1), + N: 2, + }, + expectedError: openai.ErrReasoningModelLimitationsOther, + }, + { + name: "set_presence_penalty_unsupported", + in: openai.ChatCompletionRequest{ + MaxCompletionTokens: 1000, + Model: openai.O1Mini, + Messages: []openai.ChatCompletionMessage{ + { + Role: openai.ChatMessageRoleUser, + }, + { + Role: openai.ChatMessageRoleAssistant, + }, + }, + PresencePenalty: float32(1), + }, + expectedError: openai.ErrReasoningModelLimitationsOther, + }, + { + name: "set_frequency_penalty_unsupported", + in: openai.ChatCompletionRequest{ + MaxCompletionTokens: 1000, + Model: openai.O1Mini, + Messages: []openai.ChatCompletionMessage{ + { + Role: openai.ChatMessageRoleUser, + }, + { + Role: openai.ChatMessageRoleAssistant, + }, + }, + FrequencyPenalty: float32(0.1), + }, + expectedError: openai.ErrReasoningModelLimitationsOther, + }, + } + + for _, tt := range tests { + t.Run(tt.name, func(t *testing.T) { + config := openai.DefaultConfig("whatever") + config.BaseURL = "http://localhost/v1" + client := openai.NewClientWithConfig(config) + ctx := context.Background() + + _, err := client.CreateChatCompletion(ctx, tt.in) + checks.HasError(t, err) + msg := fmt.Sprintf("CreateChatCompletion should return wrong model error, returned: %s", err) + checks.ErrorIs(t, err, tt.expectedError, msg) + }) + } +} + +func TestO3ModelsChatCompletionsBetaLimitations(t *testing.T) { + tests := []struct { + name string + in openai.ChatCompletionRequest + expectedError error + }{ + { + name: "log_probs_unsupported", + in: openai.ChatCompletionRequest{ + MaxCompletionTokens: 1000, + LogProbs: true, + Model: openai.O3Mini, + }, + expectedError: openai.ErrReasoningModelLimitationsLogprobs, + }, + { + name: "set_temperature_unsupported", + in: openai.ChatCompletionRequest{ + MaxCompletionTokens: 1000, + Model: openai.O3Mini, + Messages: []openai.ChatCompletionMessage{ + { + Role: openai.ChatMessageRoleUser, + }, + { + Role: openai.ChatMessageRoleAssistant, + }, + }, + Temperature: float32(2), + }, + expectedError: openai.ErrReasoningModelLimitationsOther, + }, + { + name: "set_top_unsupported", + in: openai.ChatCompletionRequest{ + MaxCompletionTokens: 1000, + Model: openai.O3Mini, + Messages: []openai.ChatCompletionMessage{ + { + Role: openai.ChatMessageRoleUser, + }, + { + Role: openai.ChatMessageRoleAssistant, + }, + }, + Temperature: float32(1), + TopP: float32(0.1), + }, + expectedError: openai.ErrReasoningModelLimitationsOther, + }, + { + name: "set_n_unsupported", + in: openai.ChatCompletionRequest{ + MaxCompletionTokens: 1000, + Model: openai.O3Mini, + Messages: []openai.ChatCompletionMessage{ + { + Role: openai.ChatMessageRoleUser, + }, + { + Role: openai.ChatMessageRoleAssistant, + }, + }, + Temperature: float32(1), + TopP: float32(1), + N: 2, + }, + expectedError: openai.ErrReasoningModelLimitationsOther, + }, + { + name: "set_presence_penalty_unsupported", + in: openai.ChatCompletionRequest{ + MaxCompletionTokens: 1000, + Model: openai.O3Mini, + Messages: []openai.ChatCompletionMessage{ + { + Role: openai.ChatMessageRoleUser, + }, + { + Role: openai.ChatMessageRoleAssistant, + }, + }, + PresencePenalty: float32(1), + }, + expectedError: openai.ErrReasoningModelLimitationsOther, + }, + { + name: "set_frequency_penalty_unsupported", + in: openai.ChatCompletionRequest{ + MaxCompletionTokens: 1000, + Model: openai.O3Mini, + Messages: []openai.ChatCompletionMessage{ + { + Role: openai.ChatMessageRoleUser, + }, + { + Role: openai.ChatMessageRoleAssistant, + }, + }, + FrequencyPenalty: float32(0.1), + }, + expectedError: openai.ErrReasoningModelLimitationsOther, + }, + } + + for _, tt := range tests { + t.Run(tt.name, func(t *testing.T) { + config := openai.DefaultConfig("whatever") + config.BaseURL = "http://localhost/v1" + client := openai.NewClientWithConfig(config) + ctx := context.Background() + + _, err := client.CreateChatCompletion(ctx, tt.in) + checks.HasError(t, err) + msg := fmt.Sprintf("CreateChatCompletion should return wrong model error, returned: %s", err) + checks.ErrorIs(t, err, tt.expectedError, msg) + }) + } +} + +func TestChatRequestOmitEmpty(t *testing.T) { + data, err := json.Marshal(openai.ChatCompletionRequest{ + // We set model b/c it's required, so omitempty doesn't make sense + Model: "gpt-4", + }) + checks.NoError(t, err) + + // messages is also required so isn't omitted + const expected = `{"model":"gpt-4","messages":null}` + if string(data) != expected { + t.Errorf("expected JSON with all empty fields to be %v but was %v", expected, string(data)) + } +} + +func TestChatCompletionsWithStream(t *testing.T) { + config := openai.DefaultConfig("whatever") + config.BaseURL = "http://localhost/v1" + client := openai.NewClientWithConfig(config) + ctx := context.Background() + + req := openai.ChatCompletionRequest{ + Stream: true, + } + _, err := client.CreateChatCompletion(ctx, req) + checks.ErrorIs(t, err, openai.ErrChatCompletionStreamNotSupported, "unexpected error") +} + +// TestCompletions Tests the completions endpoint of the API using the mocked server. +func TestChatCompletions(t *testing.T) { + client, server, teardown := setupOpenAITestServer() + defer teardown() + server.RegisterHandler("/v1/chat/completions", handleChatCompletionEndpoint) + _, err := client.CreateChatCompletion(context.Background(), openai.ChatCompletionRequest{ + MaxTokens: 5, + Model: openai.GPT3Dot5Turbo, + Messages: []openai.ChatCompletionMessage{ + { + Role: openai.ChatMessageRoleUser, + Content: "Hello!", + }, + }, + }) + checks.NoError(t, err, "CreateChatCompletion error") +} + +// TestCompletions Tests the completions endpoint of the API using the mocked server. +func TestO1ModelChatCompletions(t *testing.T) { + client, server, teardown := setupOpenAITestServer() + defer teardown() + server.RegisterHandler("/v1/chat/completions", handleChatCompletionEndpoint) + _, err := client.CreateChatCompletion(context.Background(), openai.ChatCompletionRequest{ + Model: openai.O1Preview, + MaxCompletionTokens: 1000, + Messages: []openai.ChatCompletionMessage{ + { + Role: openai.ChatMessageRoleUser, + Content: "Hello!", + }, + }, + }) + checks.NoError(t, err, "CreateChatCompletion error") +} + +func TestO3ModelChatCompletions(t *testing.T) { + client, server, teardown := setupOpenAITestServer() + defer teardown() + server.RegisterHandler("/v1/chat/completions", handleChatCompletionEndpoint) + _, err := client.CreateChatCompletion(context.Background(), openai.ChatCompletionRequest{ + Model: openai.O3Mini, + MaxCompletionTokens: 1000, + Messages: []openai.ChatCompletionMessage{ + { + Role: openai.ChatMessageRoleUser, + Content: "Hello!", + }, + }, + }) + checks.NoError(t, err, "CreateChatCompletion error") +} + +func TestDeepseekR1ModelChatCompletions(t *testing.T) { + client, server, teardown := setupOpenAITestServer() + defer teardown() + server.RegisterHandler("/v1/chat/completions", handleDeepseekR1ChatCompletionEndpoint) + _, err := client.CreateChatCompletion(context.Background(), openai.ChatCompletionRequest{ + Model: "deepseek-reasoner", + MaxCompletionTokens: 100, + Messages: []openai.ChatCompletionMessage{ + { + Role: openai.ChatMessageRoleUser, + Content: "Hello!", + }, + }, + }) + checks.NoError(t, err, "CreateChatCompletion error") +} + +// TestCompletions Tests the completions endpoint of the API using the mocked server. +func TestChatCompletionsWithHeaders(t *testing.T) { + client, server, teardown := setupOpenAITestServer() + defer teardown() + server.RegisterHandler("/v1/chat/completions", handleChatCompletionEndpoint) + resp, err := client.CreateChatCompletion(context.Background(), openai.ChatCompletionRequest{ + MaxTokens: 5, + Model: openai.GPT3Dot5Turbo, + Messages: []openai.ChatCompletionMessage{ + { + Role: openai.ChatMessageRoleUser, + Content: "Hello!", + }, + }, + }) + checks.NoError(t, err, "CreateChatCompletion error") + + a := resp.Header().Get(xCustomHeader) + _ = a + if resp.Header().Get(xCustomHeader) != xCustomHeaderValue { + t.Errorf("expected header %s to be %s", xCustomHeader, xCustomHeaderValue) + } +} + +// TestChatCompletionsWithRateLimitHeaders Tests the completions endpoint of the API using the mocked server. +func TestChatCompletionsWithRateLimitHeaders(t *testing.T) { + client, server, teardown := setupOpenAITestServer() + defer teardown() + server.RegisterHandler("/v1/chat/completions", handleChatCompletionEndpoint) + resp, err := client.CreateChatCompletion(context.Background(), openai.ChatCompletionRequest{ + MaxTokens: 5, + Model: openai.GPT3Dot5Turbo, + Messages: []openai.ChatCompletionMessage{ + { + Role: openai.ChatMessageRoleUser, + Content: "Hello!", + }, + }, + }) + checks.NoError(t, err, "CreateChatCompletion error") + + headers := resp.GetRateLimitHeaders() + resetRequests := headers.ResetRequests.String() + if resetRequests != rateLimitHeaders["x-ratelimit-reset-requests"] { + t.Errorf("expected resetRequests %s to be %s", resetRequests, rateLimitHeaders["x-ratelimit-reset-requests"]) + } + resetRequestsTime := headers.ResetRequests.Time() + if resetRequestsTime.Before(time.Now()) { + t.Errorf("unexpected reset requests: %v", resetRequestsTime) + } + + bs1, _ := json.Marshal(headers) + bs2, _ := json.Marshal(rateLimitHeaders) + if string(bs1) != string(bs2) { + t.Errorf("expected rate limit header %s to be %s", bs2, bs1) + } +} + +// TestChatCompletionsFunctions tests including a function call. +func TestChatCompletionsFunctions(t *testing.T) { + client, server, teardown := setupOpenAITestServer() + defer teardown() + server.RegisterHandler("/v1/chat/completions", handleChatCompletionEndpoint) + t.Run("bytes", func(t *testing.T) { + //nolint:lll + msg := json.RawMessage(`{"properties":{"count":{"type":"integer","description":"total number of words in sentence"},"words":{"items":{"type":"string"},"type":"array","description":"list of words in sentence"}},"type":"object","required":["count","words"]}`) + _, err := client.CreateChatCompletion(context.Background(), openai.ChatCompletionRequest{ + MaxTokens: 5, + Model: openai.GPT3Dot5Turbo0613, + Messages: []openai.ChatCompletionMessage{ + { + Role: openai.ChatMessageRoleUser, + Content: "Hello!", + }, + }, + Functions: []openai.FunctionDefinition{{ + Name: "test", + Parameters: &msg, + }}, + }) + checks.NoError(t, err, "CreateChatCompletion with functions error") + }) + t.Run("struct", func(t *testing.T) { + type testMessage struct { + Count int `json:"count"` + Words []string `json:"words"` + } + msg := testMessage{ + Count: 2, + Words: []string{"hello", "world"}, + } + _, err := client.CreateChatCompletion(context.Background(), openai.ChatCompletionRequest{ + MaxTokens: 5, + Model: openai.GPT3Dot5Turbo0613, + Messages: []openai.ChatCompletionMessage{ + { + Role: openai.ChatMessageRoleUser, + Content: "Hello!", + }, + }, + Functions: []openai.FunctionDefinition{{ + Name: "test", + Parameters: &msg, + }}, + }) + checks.NoError(t, err, "CreateChatCompletion with functions error") + }) + t.Run("JSONSchemaDefinition", func(t *testing.T) { + _, err := client.CreateChatCompletion(context.Background(), openai.ChatCompletionRequest{ + MaxTokens: 5, + Model: openai.GPT3Dot5Turbo0613, + Messages: []openai.ChatCompletionMessage{ + { + Role: openai.ChatMessageRoleUser, + Content: "Hello!", + }, + }, + Functions: []openai.FunctionDefinition{{ + Name: "test", + Parameters: &jsonschema.Definition{ + Type: jsonschema.Object, + Properties: map[string]jsonschema.Definition{ + "count": { + Type: jsonschema.Number, + Description: "total number of words in sentence", + }, + "words": { + Type: jsonschema.Array, + Description: "list of words in sentence", + Items: &jsonschema.Definition{ + Type: jsonschema.String, + }, + }, + "enumTest": { + Type: jsonschema.String, + Enum: []string{"hello", "world"}, + }, + }, + }, + }}, + }) + checks.NoError(t, err, "CreateChatCompletion with functions error") + }) + t.Run("JSONSchemaDefinitionWithFunctionDefine", func(t *testing.T) { + // this is a compatibility check + _, err := client.CreateChatCompletion(context.Background(), openai.ChatCompletionRequest{ + MaxTokens: 5, + Model: openai.GPT3Dot5Turbo0613, + Messages: []openai.ChatCompletionMessage{ + { + Role: openai.ChatMessageRoleUser, + Content: "Hello!", + }, + }, + Functions: []openai.FunctionDefine{{ + Name: "test", + Parameters: &jsonschema.Definition{ + Type: jsonschema.Object, + Properties: map[string]jsonschema.Definition{ + "count": { + Type: jsonschema.Number, + Description: "total number of words in sentence", + }, + "words": { + Type: jsonschema.Array, + Description: "list of words in sentence", + Items: &jsonschema.Definition{ + Type: jsonschema.String, + }, + }, + "enumTest": { + Type: jsonschema.String, + Enum: []string{"hello", "world"}, + }, + }, + }, + }}, + }) + checks.NoError(t, err, "CreateChatCompletion with functions error") + }) + t.Run("StructuredOutputs", func(t *testing.T) { + type testMessage struct { + Count int `json:"count"` + Words []string `json:"words"` + } + msg := testMessage{ + Count: 2, + Words: []string{"hello", "world"}, + } + _, err := client.CreateChatCompletion(context.Background(), openai.ChatCompletionRequest{ + MaxTokens: 5, + Model: openai.GPT3Dot5Turbo0613, + Messages: []openai.ChatCompletionMessage{ + { + Role: openai.ChatMessageRoleUser, + Content: "Hello!", + }, + }, + Functions: []openai.FunctionDefinition{{ + Name: "test", + Strict: true, + Parameters: &msg, + }}, + }) + checks.NoError(t, err, "CreateChatCompletion with functions error") + }) +} + +func TestAzureChatCompletions(t *testing.T) { + client, server, teardown := setupAzureTestServer() + defer teardown() + server.RegisterHandler("/openai/deployments/*", handleChatCompletionEndpoint) + + _, err := client.CreateChatCompletion(context.Background(), openai.ChatCompletionRequest{ + MaxTokens: 5, + Model: openai.GPT3Dot5Turbo, + Messages: []openai.ChatCompletionMessage{ + { + Role: openai.ChatMessageRoleUser, + Content: "Hello!", + }, + }, + }) + checks.NoError(t, err, "CreateAzureChatCompletion error") +} + +func TestMultipartChatCompletions(t *testing.T) { + client, server, teardown := setupAzureTestServer() + defer teardown() + server.RegisterHandler("/openai/deployments/*", handleChatCompletionEndpoint) + + _, err := client.CreateChatCompletion(context.Background(), openai.ChatCompletionRequest{ + MaxTokens: 5, + Model: openai.GPT3Dot5Turbo, + Messages: []openai.ChatCompletionMessage{ + { + Role: openai.ChatMessageRoleUser, + MultiContent: []openai.ChatMessagePart{ + { + Type: openai.ChatMessagePartTypeText, + Text: "Hello!", + }, + { + Type: openai.ChatMessagePartTypeImageURL, + ImageURL: &openai.ChatMessageImageURL{ + URL: "URL", + Detail: openai.ImageURLDetailLow, + }, + }, + }, + }, + }, + }) + checks.NoError(t, err, "CreateAzureChatCompletion error") +} + +func TestMultipartChatMessageSerialization(t *testing.T) { + jsonText := `[{"role":"system","content":"system-message"},` + + `{"role":"user","content":[{"type":"text","text":"nice-text"},` + + `{"type":"image_url","image_url":{"url":"URL","detail":"high"}}]}]` + + var msgs []openai.ChatCompletionMessage + err := json.Unmarshal([]byte(jsonText), &msgs) + if err != nil { + t.Fatalf("Expected no error: %s", err) + } + if len(msgs) != 2 { + t.Errorf("unexpected number of messages") + } + if msgs[0].Role != "system" || msgs[0].Content != "system-message" || msgs[0].MultiContent != nil { + t.Errorf("invalid user message: %v", msgs[0]) + } + if msgs[1].Role != "user" || msgs[1].Content != "" || len(msgs[1].MultiContent) != 2 { + t.Errorf("invalid user message") + } + parts := msgs[1].MultiContent + if parts[0].Type != "text" || parts[0].Text != "nice-text" { + t.Errorf("invalid text part: %v", parts[0]) + } + if parts[1].Type != "image_url" || parts[1].ImageURL.URL != "URL" || parts[1].ImageURL.Detail != "high" { + t.Errorf("invalid image_url part") + } + + s, err := json.Marshal(msgs) + if err != nil { + t.Fatalf("Expected no error: %s", err) + } + res := strings.ReplaceAll(string(s), " ", "") + if res != jsonText { + t.Fatalf("invalid message: %s", string(s)) + } + + invalidMsg := []openai.ChatCompletionMessage{ + { + Role: "user", + Content: "some-text", + MultiContent: []openai.ChatMessagePart{ + { + Type: "text", + Text: "nice-text", + }, + }, + }, + } + _, err = json.Marshal(invalidMsg) + if !errors.Is(err, openai.ErrContentFieldsMisused) { + t.Fatalf("Expected error: %s", err) + } + + err = json.Unmarshal([]byte(`["not-a-message"]`), &msgs) + if err == nil { + t.Fatalf("Expected error") + } + + emptyMultiContentMsg := openai.ChatCompletionMessage{ + Role: "user", + MultiContent: []openai.ChatMessagePart{}, + } + s, err = json.Marshal(emptyMultiContentMsg) + if err != nil { + t.Fatalf("Unexpected error") + } + res = strings.ReplaceAll(string(s), " ", "") + if res != `{"role":"user"}` { + t.Fatalf("invalid message: %s", string(s)) + } +} + +// handleChatCompletionEndpoint Handles the ChatGPT completion endpoint by the test server. +func handleChatCompletionEndpoint(w http.ResponseWriter, r *http.Request) { + var err error + var resBytes []byte + + // completions only accepts POST requests + if r.Method != "POST" { + http.Error(w, "Method not allowed", http.StatusMethodNotAllowed) + } + var completionReq openai.ChatCompletionRequest + if completionReq, err = getChatCompletionBody(r); err != nil { + http.Error(w, "could not read request", http.StatusInternalServerError) + return + } + res := openai.ChatCompletionResponse{ + ID: strconv.Itoa(int(time.Now().Unix())), + Object: "test-object", + Created: time.Now().Unix(), + // would be nice to validate Model during testing, but + // this may not be possible with how much upkeep + // would be required / wouldn't make much sense + Model: completionReq.Model, + } + // create completions + n := completionReq.N + if n == 0 { + n = 1 + } + for i := 0; i < n; i++ { + // if there are functions, include them + if len(completionReq.Functions) > 0 { + var fcb []byte + b := completionReq.Functions[0].Parameters + fcb, err = json.Marshal(b) + if err != nil { + http.Error(w, "could not marshal function parameters", http.StatusInternalServerError) + return + } + + res.Choices = append(res.Choices, openai.ChatCompletionChoice{ + Message: openai.ChatCompletionMessage{ + Role: openai.ChatMessageRoleFunction, + // this is valid json so it should be fine + FunctionCall: &openai.FunctionCall{ + Name: completionReq.Functions[0].Name, + Arguments: string(fcb), + }, + }, + Index: i, + }) + continue + } + // generate a random string of length completionReq.Length + completionStr := strings.Repeat("a", completionReq.MaxTokens) + + res.Choices = append(res.Choices, openai.ChatCompletionChoice{ + Message: openai.ChatCompletionMessage{ + Role: openai.ChatMessageRoleAssistant, + Content: completionStr, + }, + Index: i, + }) + } + inputTokens := numTokens(completionReq.Messages[0].Content) * n + completionTokens := completionReq.MaxTokens * n + res.Usage = openai.Usage{ + PromptTokens: inputTokens, + CompletionTokens: completionTokens, + TotalTokens: inputTokens + completionTokens, + } + resBytes, _ = json.Marshal(res) + w.Header().Set(xCustomHeader, xCustomHeaderValue) + for k, v := range rateLimitHeaders { + switch val := v.(type) { + case int: + w.Header().Set(k, strconv.Itoa(val)) + default: + w.Header().Set(k, fmt.Sprintf("%s", v)) + } + } + fmt.Fprintln(w, string(resBytes)) +} + +func handleDeepseekR1ChatCompletionEndpoint(w http.ResponseWriter, r *http.Request) { + var err error + var resBytes []byte + + // completions only accepts POST requests + if r.Method != "POST" { + http.Error(w, "Method not allowed", http.StatusMethodNotAllowed) + } + var completionReq openai.ChatCompletionRequest + if completionReq, err = getChatCompletionBody(r); err != nil { + http.Error(w, "could not read request", http.StatusInternalServerError) + return + } + res := openai.ChatCompletionResponse{ + ID: strconv.Itoa(int(time.Now().Unix())), + Object: "test-object", + Created: time.Now().Unix(), + // would be nice to validate Model during testing, but + // this may not be possible with how much upkeep + // would be required / wouldn't make much sense + Model: completionReq.Model, + } + // create completions + n := completionReq.N + if n == 0 { + n = 1 + } + if completionReq.MaxCompletionTokens == 0 { + completionReq.MaxCompletionTokens = 1000 + } + for i := 0; i < n; i++ { + reasoningContent := "User says hello! And I need to reply" + completionStr := strings.Repeat("a", completionReq.MaxCompletionTokens-numTokens(reasoningContent)) + res.Choices = append(res.Choices, openai.ChatCompletionChoice{ + Message: openai.ChatCompletionMessage{ + Role: openai.ChatMessageRoleAssistant, + ReasoningContent: reasoningContent, + Content: completionStr, + }, + Index: i, + }) + } + inputTokens := numTokens(completionReq.Messages[0].Content) * n + completionTokens := completionReq.MaxTokens * n + res.Usage = openai.Usage{ + PromptTokens: inputTokens, + CompletionTokens: completionTokens, + TotalTokens: inputTokens + completionTokens, + } + resBytes, _ = json.Marshal(res) + w.Header().Set(xCustomHeader, xCustomHeaderValue) + for k, v := range rateLimitHeaders { + switch val := v.(type) { + case int: + w.Header().Set(k, strconv.Itoa(val)) + default: + w.Header().Set(k, fmt.Sprintf("%s", v)) + } + } + fmt.Fprintln(w, string(resBytes)) +} + +// getChatCompletionBody Returns the body of the request to create a completion. +func getChatCompletionBody(r *http.Request) (openai.ChatCompletionRequest, error) { + completion := openai.ChatCompletionRequest{} + // read the request body + reqBody, err := io.ReadAll(r.Body) + if err != nil { + return openai.ChatCompletionRequest{}, err + } + err = json.Unmarshal(reqBody, &completion) + if err != nil { + return openai.ChatCompletionRequest{}, err + } + return completion, nil +} + +func TestFinishReason(t *testing.T) { + c := &openai.ChatCompletionChoice{ + FinishReason: openai.FinishReasonNull, + } + resBytes, _ := json.Marshal(c) + if !strings.Contains(string(resBytes), `"finish_reason":null`) { + t.Error("null should not be quoted") + } + + c.FinishReason = "" + + resBytes, _ = json.Marshal(c) + if !strings.Contains(string(resBytes), `"finish_reason":null`) { + t.Error("null should not be quoted") + } + + otherReasons := []openai.FinishReason{ + openai.FinishReasonStop, + openai.FinishReasonLength, + openai.FinishReasonFunctionCall, + openai.FinishReasonContentFilter, + } + for _, r := range otherReasons { + c.FinishReason = r + resBytes, _ = json.Marshal(c) + if !strings.Contains(string(resBytes), fmt.Sprintf(`"finish_reason":"%s"`, r)) { + t.Errorf("%s should be quoted", r) + } + } +} + +func TestChatCompletionResponseFormatJSONSchema_UnmarshalJSON(t *testing.T) { + type args struct { + data []byte + } + tests := []struct { + name string + args args + wantErr bool + }{ + { + "", + args{ + data: []byte(`{ + "name": "math_response", + "strict": true, + "schema": { + "type": "object", + "properties": { + "steps": { + "type": "array", + "items": { + "type": "object", + "properties": { + "explanation": { "type": "string" }, + "output": { "type": "string" } + }, + "required": ["explanation","output"], + "additionalProperties": false + } + }, + "final_answer": { "type": "string" } + }, + "required": ["steps","final_answer"], + "additionalProperties": false + } + }`), + }, + false, + }, + { + "", + args{ + data: []byte(`{ + "name": "math_response", + "strict": true, + "schema": null + }`), + }, + false, + }, + { + "", + args{ + data: []byte(`[123,456]`), + }, + true, + }, + { + "", + args{ + data: []byte(`{ + "name": "math_response", + "strict": true, + "schema": 123456 + }`), + }, + true, + }, + } + for _, tt := range tests { + t.Run(tt.name, func(t *testing.T) { + var r openai.ChatCompletionResponseFormatJSONSchema + err := r.UnmarshalJSON(tt.args.data) + if (err != nil) != tt.wantErr { + t.Errorf("UnmarshalJSON() error = %v, wantErr %v", err, tt.wantErr) + } + }) + } +} + +func TestChatCompletionRequest_UnmarshalJSON(t *testing.T) { + type args struct { + bs []byte + } + tests := []struct { + name string + args args + wantErr bool + }{ + { + "", + args{bs: []byte(`{ + "model": "llama3-1b", + "messages": [ + { "role": "system", "content": "You are a helpful math tutor." }, + { "role": "user", "content": "solve 8x + 31 = 2" } + ], + "response_format": { + "type": "json_schema", + "json_schema": { + "name": "math_response", + "strict": true, + "schema": { + "type": "object", + "properties": { + "steps": { + "type": "array", + "items": { + "type": "object", + "properties": { + "explanation": { "type": "string" }, + "output": { "type": "string" } + }, + "required": ["explanation","output"], + "additionalProperties": false + } + }, + "final_answer": { "type": "string" } + }, + "required": ["steps","final_answer"], + "additionalProperties": false + } + } + } +}`)}, + false, + }, + } + for _, tt := range tests { + t.Run(tt.name, func(t *testing.T) { + var m openai.ChatCompletionRequest + err := json.Unmarshal(tt.args.bs, &m) + if err != nil { + t.Errorf("UnmarshalJSON() error = %v, wantErr %v", err, tt.wantErr) + } + }) + } +} diff --git a/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/client.go b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/client.go new file mode 100644 index 0000000..cef3753 --- /dev/null +++ b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/client.go @@ -0,0 +1,327 @@ +package openai + +import ( + "bufio" + "context" + "encoding/json" + "fmt" + "io" + "net/http" + "net/url" + "strings" + + utils "github.com/sashabaranov/go-openai/internal" +) + +// Client is OpenAI GPT-3 API client. +type Client struct { + config ClientConfig + + requestBuilder utils.RequestBuilder + createFormBuilder func(io.Writer) utils.FormBuilder +} + +type Response interface { + SetHeader(http.Header) +} + +type httpHeader http.Header + +func (h *httpHeader) SetHeader(header http.Header) { + *h = httpHeader(header) +} + +func (h *httpHeader) Header() http.Header { + return http.Header(*h) +} + +func (h *httpHeader) GetRateLimitHeaders() RateLimitHeaders { + return newRateLimitHeaders(h.Header()) +} + +type RawResponse struct { + io.ReadCloser + + httpHeader +} + +// NewClient creates new OpenAI API client. +func NewClient(authToken string) *Client { + config := DefaultConfig(authToken) + return NewClientWithConfig(config) +} + +// NewClientWithConfig creates new OpenAI API client for specified config. +func NewClientWithConfig(config ClientConfig) *Client { + return &Client{ + config: config, + requestBuilder: utils.NewRequestBuilder(), + createFormBuilder: func(body io.Writer) utils.FormBuilder { + return utils.NewFormBuilder(body) + }, + } +} + +// NewOrgClient creates new OpenAI API client for specified Organization ID. +// +// Deprecated: Please use NewClientWithConfig. +func NewOrgClient(authToken, org string) *Client { + config := DefaultConfig(authToken) + config.OrgID = org + return NewClientWithConfig(config) +} + +type requestOptions struct { + body any + header http.Header +} + +type requestOption func(*requestOptions) + +func withBody(body any) requestOption { + return func(args *requestOptions) { + args.body = body + } +} + +func withContentType(contentType string) requestOption { + return func(args *requestOptions) { + args.header.Set("Content-Type", contentType) + } +} + +func withBetaAssistantVersion(version string) requestOption { + return func(args *requestOptions) { + args.header.Set("OpenAI-Beta", fmt.Sprintf("assistants=%s", version)) + } +} + +func (c *Client) newRequest(ctx context.Context, method, url string, setters ...requestOption) (*http.Request, error) { + // Default Options + args := &requestOptions{ + body: nil, + header: make(http.Header), + } + for _, setter := range setters { + setter(args) + } + req, err := c.requestBuilder.Build(ctx, method, url, args.body, args.header) + if err != nil { + return nil, err + } + c.setCommonHeaders(req) + return req, nil +} + +func (c *Client) sendRequest(req *http.Request, v Response) error { + req.Header.Set("Accept", "application/json") + + // Check whether Content-Type is already set, Upload Files API requires + // Content-Type == multipart/form-data + contentType := req.Header.Get("Content-Type") + if contentType == "" { + req.Header.Set("Content-Type", "application/json") + } + + res, err := c.config.HTTPClient.Do(req) + if err != nil { + return err + } + + defer res.Body.Close() + + if v != nil { + v.SetHeader(res.Header) + } + + if isFailureStatusCode(res) { + return c.handleErrorResp(res) + } + + return decodeResponse(res.Body, v) +} + +func (c *Client) sendRequestRaw(req *http.Request) (response RawResponse, err error) { + resp, err := c.config.HTTPClient.Do(req) //nolint:bodyclose // body should be closed by outer function + if err != nil { + return + } + + if isFailureStatusCode(resp) { + err = c.handleErrorResp(resp) + return + } + + response.SetHeader(resp.Header) + response.ReadCloser = resp.Body + return +} + +func sendRequestStream[T streamable](client *Client, req *http.Request) (*streamReader[T], error) { + req.Header.Set("Content-Type", "application/json") + req.Header.Set("Accept", "text/event-stream") + req.Header.Set("Cache-Control", "no-cache") + req.Header.Set("Connection", "keep-alive") + + resp, err := client.config.HTTPClient.Do(req) //nolint:bodyclose // body is closed in stream.Close() + if err != nil { + return new(streamReader[T]), err + } + if isFailureStatusCode(resp) { + return new(streamReader[T]), client.handleErrorResp(resp) + } + return &streamReader[T]{ + emptyMessagesLimit: client.config.EmptyMessagesLimit, + reader: bufio.NewReader(resp.Body), + response: resp, + errAccumulator: utils.NewErrorAccumulator(), + unmarshaler: &utils.JSONUnmarshaler{}, + httpHeader: httpHeader(resp.Header), + }, nil +} + +func (c *Client) setCommonHeaders(req *http.Request) { + // https://learn.microsoft.com/en-us/azure/cognitive-services/openai/reference#authentication + switch c.config.APIType { + case APITypeAzure, APITypeCloudflareAzure: + // Azure API Key authentication + req.Header.Set(AzureAPIKeyHeader, c.config.authToken) + case APITypeAnthropic: + // https://docs.anthropic.com/en/api/versioning + req.Header.Set("anthropic-version", c.config.APIVersion) + case APITypeOpenAI, APITypeAzureAD: + fallthrough + default: + if c.config.authToken != "" { + req.Header.Set("Authorization", fmt.Sprintf("Bearer %s", c.config.authToken)) + } + } + + if c.config.OrgID != "" { + req.Header.Set("OpenAI-Organization", c.config.OrgID) + } +} + +func isFailureStatusCode(resp *http.Response) bool { + return resp.StatusCode < http.StatusOK || resp.StatusCode >= http.StatusBadRequest +} + +func decodeResponse(body io.Reader, v any) error { + if v == nil { + return nil + } + + switch o := v.(type) { + case *string: + return decodeString(body, o) + case *audioTextResponse: + return decodeString(body, &o.Text) + default: + return json.NewDecoder(body).Decode(v) + } +} + +func decodeString(body io.Reader, output *string) error { + b, err := io.ReadAll(body) + if err != nil { + return err + } + *output = string(b) + return nil +} + +type fullURLOptions struct { + model string +} + +type fullURLOption func(*fullURLOptions) + +func withModel(model string) fullURLOption { + return func(args *fullURLOptions) { + args.model = model + } +} + +var azureDeploymentsEndpoints = []string{ + "/completions", + "/embeddings", + "/chat/completions", + "/audio/transcriptions", + "/audio/translations", + "/audio/speech", + "/images/generations", +} + +// fullURL returns full URL for request. +func (c *Client) fullURL(suffix string, setters ...fullURLOption) string { + baseURL := strings.TrimRight(c.config.BaseURL, "/") + args := fullURLOptions{} + for _, setter := range setters { + setter(&args) + } + + if c.config.APIType == APITypeAzure || c.config.APIType == APITypeAzureAD { + baseURL = c.baseURLWithAzureDeployment(baseURL, suffix, args.model) + } + + if c.config.APIVersion != "" { + suffix = c.suffixWithAPIVersion(suffix) + } + return fmt.Sprintf("%s%s", baseURL, suffix) +} + +func (c *Client) suffixWithAPIVersion(suffix string) string { + parsedSuffix, err := url.Parse(suffix) + if err != nil { + panic("failed to parse url suffix") + } + query := parsedSuffix.Query() + query.Add("api-version", c.config.APIVersion) + return fmt.Sprintf("%s?%s", parsedSuffix.Path, query.Encode()) +} + +func (c *Client) baseURLWithAzureDeployment(baseURL, suffix, model string) (newBaseURL string) { + baseURL = fmt.Sprintf("%s/%s", strings.TrimRight(baseURL, "/"), azureAPIPrefix) + if containsSubstr(azureDeploymentsEndpoints, suffix) { + azureDeploymentName := c.config.GetAzureDeploymentByModel(model) + if azureDeploymentName == "" { + azureDeploymentName = "UNKNOWN" + } + baseURL = fmt.Sprintf("%s/%s/%s", baseURL, azureDeploymentsPrefix, azureDeploymentName) + } + return baseURL +} + +func (c *Client) handleErrorResp(resp *http.Response) error { + body, err := io.ReadAll(resp.Body) + if err != nil { + return fmt.Errorf("error, reading response body: %w", err) + } + var errRes ErrorResponse + err = json.Unmarshal(body, &errRes) + if err != nil || errRes.Error == nil { + reqErr := &RequestError{ + HTTPStatus: resp.Status, + HTTPStatusCode: resp.StatusCode, + Err: err, + Body: body, + } + if errRes.Error != nil { + reqErr.Err = errRes.Error + } + return reqErr + } + + errRes.Error.HTTPStatus = resp.Status + errRes.Error.HTTPStatusCode = resp.StatusCode + return errRes.Error +} + +func containsSubstr(s []string, e string) bool { + for _, v := range s { + if strings.Contains(e, v) { + return true + } + } + return false +} diff --git a/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/client_test.go b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/client_test.go new file mode 100644 index 0000000..3219714 --- /dev/null +++ b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/client_test.go @@ -0,0 +1,588 @@ +package openai //nolint:testpackage // testing private field + +import ( + "bytes" + "context" + "errors" + "fmt" + "io" + "net/http" + "reflect" + "testing" + + "github.com/sashabaranov/go-openai/internal/test" + "github.com/sashabaranov/go-openai/internal/test/checks" +) + +var errTestRequestBuilderFailed = errors.New("test request builder failed") + +type failingRequestBuilder struct{} + +func (*failingRequestBuilder) Build(_ context.Context, _, _ string, _ any, _ http.Header) (*http.Request, error) { + return nil, errTestRequestBuilderFailed +} + +func TestClient(t *testing.T) { + const mockToken = "mock token" + client := NewClient(mockToken) + if client.config.authToken != mockToken { + t.Errorf("Client does not contain proper token") + } + + const mockOrg = "mock org" + client = NewOrgClient(mockToken, mockOrg) + if client.config.authToken != mockToken { + t.Errorf("Client does not contain proper token") + } + if client.config.OrgID != mockOrg { + t.Errorf("Client does not contain proper orgID") + } +} + +func TestSetCommonHeadersAnthropic(t *testing.T) { + config := DefaultAnthropicConfig("mock-token", "") + client := NewClientWithConfig(config) + req, err := http.NewRequest("GET", "http://example.com", nil) + if err != nil { + t.Fatalf("Failed to create request: %v", err) + } + + client.setCommonHeaders(req) + + if got := req.Header.Get("anthropic-version"); got != AnthropicAPIVersion { + t.Errorf("Expected anthropic-version header to be %q, got %q", AnthropicAPIVersion, got) + } +} + +func TestDecodeResponse(t *testing.T) { + stringInput := "" + + testCases := []struct { + name string + value interface{} + expected interface{} + body io.Reader + hasError bool + }{ + { + name: "nil input", + value: nil, + body: bytes.NewReader([]byte("")), + expected: nil, + }, + { + name: "string input", + value: &stringInput, + body: bytes.NewReader([]byte("test")), + expected: "test", + }, + { + name: "map input", + value: &map[string]interface{}{}, + body: bytes.NewReader([]byte(`{"test": "test"}`)), + expected: map[string]interface{}{ + "test": "test", + }, + }, + { + name: "reader return error", + value: &stringInput, + body: &errorReader{err: errors.New("dummy")}, + hasError: true, + }, + { + name: "audio text input", + value: &audioTextResponse{}, + body: bytes.NewReader([]byte("test")), + expected: audioTextResponse{ + Text: "test", + }, + }, + } + + assertEqual := func(t *testing.T, expected, actual interface{}) { + t.Helper() + if expected == actual { + return + } + v := reflect.ValueOf(actual).Elem().Interface() + if !reflect.DeepEqual(v, expected) { + t.Fatalf("Unexpected value: %v, expected: %v", v, expected) + } + } + + for _, tc := range testCases { + t.Run(tc.name, func(t *testing.T) { + err := decodeResponse(tc.body, tc.value) + if tc.hasError { + checks.HasError(t, err, "Unexpected nil error") + return + } + if err != nil { + t.Fatalf("Unexpected error: %v", err) + } + assertEqual(t, tc.expected, tc.value) + }) + } +} + +type errorReader struct { + err error +} + +func (e *errorReader) Read(_ []byte) (n int, err error) { + return 0, e.err +} + +func TestHandleErrorResp(t *testing.T) { + // var errRes *ErrorResponse + var errRes ErrorResponse + var reqErr RequestError + t.Log(errRes, errRes.Error) + if errRes.Error != nil { + reqErr.Err = errRes.Error + } + t.Log(fmt.Errorf("error, %w", &reqErr)) + t.Log(errRes.Error, "nil pointer check Pass") + + const mockToken = "mock token" + client := NewClient(mockToken) + + testCases := []struct { + name string + httpCode int + httpStatus string + contentType string + body io.Reader + expected string + }{ + { + name: "401 Invalid Authentication", + httpCode: http.StatusUnauthorized, + contentType: "application/json", + body: bytes.NewReader([]byte( + `{ + "error":{ + "message":"You didn't provide an API key. ....", + "type":"invalid_request_error", + "param":null, + "code":null + } + }`, + )), + expected: "error, status code: 401, status: , message: You didn't provide an API key. ....", + }, + { + name: "401 Azure Access Denied", + httpCode: http.StatusUnauthorized, + contentType: "application/json", + body: bytes.NewReader([]byte( + `{ + "error":{ + "code":"AccessDenied", + "message":"Access denied due to Virtual Network/Firewall rules." + } + }`, + )), + expected: "error, status code: 401, status: , message: Access denied due to Virtual Network/Firewall rules.", + }, + { + name: "503 Model Overloaded", + httpCode: http.StatusServiceUnavailable, + contentType: "application/json", + body: bytes.NewReader([]byte(` + { + "error":{ + "message":"That model...", + "type":"server_error", + "param":null, + "code":null + } + }`)), + expected: "error, status code: 503, status: , message: That model...", + }, + { + name: "503 no message (Unknown response)", + httpCode: http.StatusServiceUnavailable, + contentType: "application/json", + body: bytes.NewReader([]byte(` + { + "error":{} + }`)), + expected: `error, status code: 503, status: , message: , body: + { + "error":{} + }`, + }, + { + name: "413 Request Entity Too Large", + httpCode: http.StatusRequestEntityTooLarge, + contentType: "text/html", + body: bytes.NewReader([]byte(` + + 413 Request Entity Too Large + +

413 Request Entity Too Large

+
nginx
+ + `)), + expected: `error, status code: 413, status: , message: invalid character '<' looking for beginning of value, body: + + 413 Request Entity Too Large + +

413 Request Entity Too Large

+
nginx
+ + `, + }, + { + name: "errorReader", + httpCode: http.StatusRequestEntityTooLarge, + contentType: "text/html", + body: &errorReader{err: errors.New("errorReader")}, + expected: "error, reading response body: errorReader", + }, + } + + for _, tc := range testCases { + t.Run(tc.name, func(t *testing.T) { + testCase := &http.Response{ + Header: map[string][]string{ + "Content-Type": {tc.contentType}, + }, + } + testCase.StatusCode = tc.httpCode + testCase.Body = io.NopCloser(tc.body) + err := client.handleErrorResp(testCase) + t.Log(err.Error()) + if err.Error() != tc.expected { + t.Errorf("Unexpected error: %v , expected: %s", err, tc.expected) + t.Fail() + } + }) + } +} + +func TestClientReturnsRequestBuilderErrors(t *testing.T) { + config := DefaultConfig(test.GetTestToken()) + client := NewClientWithConfig(config) + client.requestBuilder = &failingRequestBuilder{} + ctx := context.Background() + + type TestCase struct { + Name string + TestFunc func() (any, error) + } + + testCases := []TestCase{ + {"CreateCompletion", func() (any, error) { + return client.CreateCompletion(ctx, CompletionRequest{Prompt: "testing"}) + }}, + {"CreateCompletionStream", func() (any, error) { + return client.CreateCompletionStream(ctx, CompletionRequest{Prompt: ""}) + }}, + {"CreateChatCompletion", func() (any, error) { + return client.CreateChatCompletion(ctx, ChatCompletionRequest{Model: GPT3Dot5Turbo}) + }}, + {"CreateChatCompletionStream", func() (any, error) { + return client.CreateChatCompletionStream(ctx, ChatCompletionRequest{Model: GPT3Dot5Turbo}) + }}, + {"CreateFineTune", func() (any, error) { + return client.CreateFineTune(ctx, FineTuneRequest{}) + }}, + {"ListFineTunes", func() (any, error) { + return client.ListFineTunes(ctx) + }}, + {"CancelFineTune", func() (any, error) { + return client.CancelFineTune(ctx, "") + }}, + {"GetFineTune", func() (any, error) { + return client.GetFineTune(ctx, "") + }}, + {"DeleteFineTune", func() (any, error) { + return client.DeleteFineTune(ctx, "") + }}, + {"ListFineTuneEvents", func() (any, error) { + return client.ListFineTuneEvents(ctx, "") + }}, + {"CreateFineTuningJob", func() (any, error) { + return client.CreateFineTuningJob(ctx, FineTuningJobRequest{}) + }}, + {"CancelFineTuningJob", func() (any, error) { + return client.CancelFineTuningJob(ctx, "") + }}, + {"RetrieveFineTuningJob", func() (any, error) { + return client.RetrieveFineTuningJob(ctx, "") + }}, + {"ListFineTuningJobEvents", func() (any, error) { + return client.ListFineTuningJobEvents(ctx, "") + }}, + {"Moderations", func() (any, error) { + return client.Moderations(ctx, ModerationRequest{}) + }}, + {"Edits", func() (any, error) { + return client.Edits(ctx, EditsRequest{}) + }}, + {"CreateEmbeddings", func() (any, error) { + return client.CreateEmbeddings(ctx, EmbeddingRequest{}) + }}, + {"CreateImage", func() (any, error) { + return client.CreateImage(ctx, ImageRequest{}) + }}, + {"CreateFileBytes", func() (any, error) { + return client.CreateFileBytes(ctx, FileBytesRequest{}) + }}, + {"DeleteFile", func() (any, error) { + return nil, client.DeleteFile(ctx, "") + }}, + {"GetFile", func() (any, error) { + return client.GetFile(ctx, "") + }}, + {"GetFileContent", func() (any, error) { + return client.GetFileContent(ctx, "") + }}, + {"ListFiles", func() (any, error) { + return client.ListFiles(ctx) + }}, + {"ListEngines", func() (any, error) { + return client.ListEngines(ctx) + }}, + {"GetEngine", func() (any, error) { + return client.GetEngine(ctx, "") + }}, + {"ListModels", func() (any, error) { + return client.ListModels(ctx) + }}, + {"GetModel", func() (any, error) { + return client.GetModel(ctx, "text-davinci-003") + }}, + {"DeleteFineTuneModel", func() (any, error) { + return client.DeleteFineTuneModel(ctx, "") + }}, + {"CreateAssistant", func() (any, error) { + return client.CreateAssistant(ctx, AssistantRequest{}) + }}, + {"RetrieveAssistant", func() (any, error) { + return client.RetrieveAssistant(ctx, "") + }}, + {"ModifyAssistant", func() (any, error) { + return client.ModifyAssistant(ctx, "", AssistantRequest{}) + }}, + {"DeleteAssistant", func() (any, error) { + return client.DeleteAssistant(ctx, "") + }}, + {"ListAssistants", func() (any, error) { + return client.ListAssistants(ctx, nil, nil, nil, nil) + }}, + {"CreateAssistantFile", func() (any, error) { + return client.CreateAssistantFile(ctx, "", AssistantFileRequest{}) + }}, + {"ListAssistantFiles", func() (any, error) { + return client.ListAssistantFiles(ctx, "", nil, nil, nil, nil) + }}, + {"RetrieveAssistantFile", func() (any, error) { + return client.RetrieveAssistantFile(ctx, "", "") + }}, + {"DeleteAssistantFile", func() (any, error) { + return nil, client.DeleteAssistantFile(ctx, "", "") + }}, + {"CreateMessage", func() (any, error) { + return client.CreateMessage(ctx, "", MessageRequest{}) + }}, + {"ListMessage", func() (any, error) { + return client.ListMessage(ctx, "", nil, nil, nil, nil, nil) + }}, + {"RetrieveMessage", func() (any, error) { + return client.RetrieveMessage(ctx, "", "") + }}, + {"ModifyMessage", func() (any, error) { + return client.ModifyMessage(ctx, "", "", nil) + }}, + {"DeleteMessage", func() (any, error) { + return client.DeleteMessage(ctx, "", "") + }}, + {"RetrieveMessageFile", func() (any, error) { + return client.RetrieveMessageFile(ctx, "", "", "") + }}, + {"ListMessageFiles", func() (any, error) { + return client.ListMessageFiles(ctx, "", "") + }}, + {"CreateThread", func() (any, error) { + return client.CreateThread(ctx, ThreadRequest{}) + }}, + {"RetrieveThread", func() (any, error) { + return client.RetrieveThread(ctx, "") + }}, + {"ModifyThread", func() (any, error) { + return client.ModifyThread(ctx, "", ModifyThreadRequest{}) + }}, + {"DeleteThread", func() (any, error) { + return client.DeleteThread(ctx, "") + }}, + {"CreateRun", func() (any, error) { + return client.CreateRun(ctx, "", RunRequest{}) + }}, + {"RetrieveRun", func() (any, error) { + return client.RetrieveRun(ctx, "", "") + }}, + {"ModifyRun", func() (any, error) { + return client.ModifyRun(ctx, "", "", RunModifyRequest{}) + }}, + {"ListRuns", func() (any, error) { + return client.ListRuns(ctx, "", Pagination{}) + }}, + {"SubmitToolOutputs", func() (any, error) { + return client.SubmitToolOutputs(ctx, "", "", SubmitToolOutputsRequest{}) + }}, + {"CancelRun", func() (any, error) { + return client.CancelRun(ctx, "", "") + }}, + {"CreateThreadAndRun", func() (any, error) { + return client.CreateThreadAndRun(ctx, CreateThreadAndRunRequest{}) + }}, + {"RetrieveRunStep", func() (any, error) { + return client.RetrieveRunStep(ctx, "", "", "") + }}, + {"ListRunSteps", func() (any, error) { + return client.ListRunSteps(ctx, "", "", Pagination{}) + }}, + {"CreateSpeech", func() (any, error) { + return client.CreateSpeech(ctx, CreateSpeechRequest{Model: TTSModel1, Voice: VoiceAlloy}) + }}, + {"CreateBatch", func() (any, error) { + return client.CreateBatch(ctx, CreateBatchRequest{}) + }}, + {"CreateBatchWithUploadFile", func() (any, error) { + return client.CreateBatchWithUploadFile(ctx, CreateBatchWithUploadFileRequest{}) + }}, + {"RetrieveBatch", func() (any, error) { + return client.RetrieveBatch(ctx, "") + }}, + {"CancelBatch", func() (any, error) { return client.CancelBatch(ctx, "") }}, + {"ListBatch", func() (any, error) { return client.ListBatch(ctx, nil, nil) }}, + } + + for _, testCase := range testCases { + _, err := testCase.TestFunc() + if !errors.Is(err, errTestRequestBuilderFailed) { + t.Fatalf("%s did not return error when request builder failed: %v", testCase.Name, err) + } + } +} + +func TestClientReturnsRequestBuilderErrorsAddition(t *testing.T) { + config := DefaultConfig(test.GetTestToken()) + client := NewClientWithConfig(config) + client.requestBuilder = &failingRequestBuilder{} + ctx := context.Background() + _, err := client.CreateCompletion(ctx, CompletionRequest{Prompt: 1}) + if !errors.Is(err, ErrCompletionRequestPromptTypeNotSupported) { + t.Fatalf("Did not return error when request builder failed: %v", err) + } + _, err = client.CreateCompletionStream(ctx, CompletionRequest{Prompt: 1}) + if !errors.Is(err, ErrCompletionRequestPromptTypeNotSupported) { + t.Fatalf("Did not return error when request builder failed: %v", err) + } +} + +func TestClient_suffixWithAPIVersion(t *testing.T) { + type fields struct { + apiVersion string + } + type args struct { + suffix string + } + tests := []struct { + name string + fields fields + args args + want string + wantPanic string + }{ + { + "", + fields{apiVersion: "2023-05"}, + args{suffix: "/assistants"}, + "/assistants?api-version=2023-05", + "", + }, + { + "", + fields{apiVersion: "2023-05"}, + args{suffix: "/assistants?limit=5"}, + "/assistants?api-version=2023-05&limit=5", + "", + }, + { + "", + fields{apiVersion: "2023-05"}, + args{suffix: "123:assistants?limit=5"}, + "/assistants?api-version=2023-05&limit=5", + "failed to parse url suffix", + }, + } + for _, tt := range tests { + t.Run(tt.name, func(t *testing.T) { + c := &Client{ + config: ClientConfig{APIVersion: tt.fields.apiVersion}, + } + defer func() { + if r := recover(); r != nil { + // Check if the panic message matches the expected panic message + if rStr, ok := r.(string); ok { + if rStr != tt.wantPanic { + t.Errorf("suffixWithAPIVersion() = %v, want %v", rStr, tt.wantPanic) + } + } else { + // If the panic is not a string, log it + t.Errorf("suffixWithAPIVersion() panicked with non-string value: %v", r) + } + } + }() + if got := c.suffixWithAPIVersion(tt.args.suffix); got != tt.want { + t.Errorf("suffixWithAPIVersion() = %v, want %v", got, tt.want) + } + }) + } +} + +func TestClient_baseURLWithAzureDeployment(t *testing.T) { + type args struct { + baseURL string + suffix string + model string + } + tests := []struct { + name string + args args + wantNewBaseURL string + }{ + { + "", + args{baseURL: "https://test.openai.azure.com/", suffix: assistantsSuffix, model: GPT4oMini}, + "https://test.openai.azure.com/openai", + }, + { + "", + args{baseURL: "https://test.openai.azure.com/", suffix: chatCompletionsSuffix, model: GPT4oMini}, + "https://test.openai.azure.com/openai/deployments/gpt-4o-mini", + }, + { + "", + args{baseURL: "https://test.openai.azure.com/", suffix: chatCompletionsSuffix, model: ""}, + "https://test.openai.azure.com/openai/deployments/UNKNOWN", + }, + } + client := NewClient("") + for _, tt := range tests { + t.Run(tt.name, func(t *testing.T) { + if gotNewBaseURL := client.baseURLWithAzureDeployment( + tt.args.baseURL, + tt.args.suffix, + tt.args.model, + ); gotNewBaseURL != tt.wantNewBaseURL { + t.Errorf("baseURLWithAzureDeployment() = %v, want %v", gotNewBaseURL, tt.wantNewBaseURL) + } + }) + } +} diff --git a/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/common.go b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/common.go new file mode 100644 index 0000000..d1936d6 --- /dev/null +++ b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/common.go @@ -0,0 +1,26 @@ +package openai + +// common.go defines common types used throughout the OpenAI API. + +// Usage Represents the total token usage per request to OpenAI. +type Usage struct { + PromptTokens int `json:"prompt_tokens"` + CompletionTokens int `json:"completion_tokens"` + TotalTokens int `json:"total_tokens"` + PromptTokensDetails *PromptTokensDetails `json:"prompt_tokens_details"` + CompletionTokensDetails *CompletionTokensDetails `json:"completion_tokens_details"` +} + +// CompletionTokensDetails Breakdown of tokens used in a completion. +type CompletionTokensDetails struct { + AudioTokens int `json:"audio_tokens"` + ReasoningTokens int `json:"reasoning_tokens"` + AcceptedPredictionTokens int `json:"accepted_prediction_tokens"` + RejectedPredictionTokens int `json:"rejected_prediction_tokens"` +} + +// PromptTokensDetails Breakdown of tokens used in the prompt. +type PromptTokensDetails struct { + AudioTokens int `json:"audio_tokens"` + CachedTokens int `json:"cached_tokens"` +} diff --git a/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/completion.go b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/completion.go new file mode 100644 index 0000000..02ce7b0 --- /dev/null +++ b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/completion.go @@ -0,0 +1,287 @@ +package openai + +import ( + "context" + "net/http" +) + +// GPT3 Defines the models provided by OpenAI to use when generating +// completions from OpenAI. +// GPT3 Models are designed for text-based tasks. For code-specific +// tasks, please refer to the Codex series of models. +const ( + O1Mini = "o1-mini" + O1Mini20240912 = "o1-mini-2024-09-12" + O1Preview = "o1-preview" + O1Preview20240912 = "o1-preview-2024-09-12" + O1 = "o1" + O120241217 = "o1-2024-12-17" + O3 = "o3" + O320250416 = "o3-2025-04-16" + O3Mini = "o3-mini" + O3Mini20250131 = "o3-mini-2025-01-31" + O4Mini = "o4-mini" + O4Mini20250416 = "o4-mini-2025-04-16" + GPT432K0613 = "gpt-4-32k-0613" + GPT432K0314 = "gpt-4-32k-0314" + GPT432K = "gpt-4-32k" + GPT40613 = "gpt-4-0613" + GPT40314 = "gpt-4-0314" + GPT4o = "gpt-4o" + GPT4o20240513 = "gpt-4o-2024-05-13" + GPT4o20240806 = "gpt-4o-2024-08-06" + GPT4o20241120 = "gpt-4o-2024-11-20" + GPT4oLatest = "chatgpt-4o-latest" + GPT4oMini = "gpt-4o-mini" + GPT4oMini20240718 = "gpt-4o-mini-2024-07-18" + GPT4Turbo = "gpt-4-turbo" + GPT4Turbo20240409 = "gpt-4-turbo-2024-04-09" + GPT4Turbo0125 = "gpt-4-0125-preview" + GPT4Turbo1106 = "gpt-4-1106-preview" + GPT4TurboPreview = "gpt-4-turbo-preview" + GPT4VisionPreview = "gpt-4-vision-preview" + GPT4 = "gpt-4" + GPT4Dot1 = "gpt-4.1" + GPT4Dot120250414 = "gpt-4.1-2025-04-14" + GPT4Dot1Mini = "gpt-4.1-mini" + GPT4Dot1Mini20250414 = "gpt-4.1-mini-2025-04-14" + GPT4Dot1Nano = "gpt-4.1-nano" + GPT4Dot1Nano20250414 = "gpt-4.1-nano-2025-04-14" + GPT4Dot5Preview = "gpt-4.5-preview" + GPT4Dot5Preview20250227 = "gpt-4.5-preview-2025-02-27" + GPT3Dot5Turbo0125 = "gpt-3.5-turbo-0125" + GPT3Dot5Turbo1106 = "gpt-3.5-turbo-1106" + GPT3Dot5Turbo0613 = "gpt-3.5-turbo-0613" + GPT3Dot5Turbo0301 = "gpt-3.5-turbo-0301" + GPT3Dot5Turbo16K = "gpt-3.5-turbo-16k" + GPT3Dot5Turbo16K0613 = "gpt-3.5-turbo-16k-0613" + GPT3Dot5Turbo = "gpt-3.5-turbo" + GPT3Dot5TurboInstruct = "gpt-3.5-turbo-instruct" + // Deprecated: Model is shutdown. Use gpt-3.5-turbo-instruct instead. + GPT3TextDavinci003 = "text-davinci-003" + // Deprecated: Model is shutdown. Use gpt-3.5-turbo-instruct instead. + GPT3TextDavinci002 = "text-davinci-002" + // Deprecated: Model is shutdown. Use gpt-3.5-turbo-instruct instead. + GPT3TextCurie001 = "text-curie-001" + // Deprecated: Model is shutdown. Use gpt-3.5-turbo-instruct instead. + GPT3TextBabbage001 = "text-babbage-001" + // Deprecated: Model is shutdown. Use gpt-3.5-turbo-instruct instead. + GPT3TextAda001 = "text-ada-001" + // Deprecated: Model is shutdown. Use gpt-3.5-turbo-instruct instead. + GPT3TextDavinci001 = "text-davinci-001" + // Deprecated: Model is shutdown. Use gpt-3.5-turbo-instruct instead. + GPT3DavinciInstructBeta = "davinci-instruct-beta" + // Deprecated: Model is shutdown. Use davinci-002 instead. + GPT3Davinci = "davinci" + GPT3Davinci002 = "davinci-002" + // Deprecated: Model is shutdown. Use gpt-3.5-turbo-instruct instead. + GPT3CurieInstructBeta = "curie-instruct-beta" + GPT3Curie = "curie" + GPT3Curie002 = "curie-002" + // Deprecated: Model is shutdown. Use babbage-002 instead. + GPT3Ada = "ada" + GPT3Ada002 = "ada-002" + // Deprecated: Model is shutdown. Use babbage-002 instead. + GPT3Babbage = "babbage" + GPT3Babbage002 = "babbage-002" +) + +// Codex Defines the models provided by OpenAI. +// These models are designed for code-specific tasks, and use +// a different tokenizer which optimizes for whitespace. +const ( + CodexCodeDavinci002 = "code-davinci-002" + CodexCodeCushman001 = "code-cushman-001" + CodexCodeDavinci001 = "code-davinci-001" +) + +var disabledModelsForEndpoints = map[string]map[string]bool{ + "/completions": { + O1Mini: true, + O1Mini20240912: true, + O1Preview: true, + O1Preview20240912: true, + O3Mini: true, + O3Mini20250131: true, + O4Mini: true, + O4Mini20250416: true, + O3: true, + O320250416: true, + GPT3Dot5Turbo: true, + GPT3Dot5Turbo0301: true, + GPT3Dot5Turbo0613: true, + GPT3Dot5Turbo1106: true, + GPT3Dot5Turbo0125: true, + GPT3Dot5Turbo16K: true, + GPT3Dot5Turbo16K0613: true, + GPT4: true, + GPT4Dot5Preview: true, + GPT4Dot5Preview20250227: true, + GPT4o: true, + GPT4o20240513: true, + GPT4o20240806: true, + GPT4o20241120: true, + GPT4oLatest: true, + GPT4oMini: true, + GPT4oMini20240718: true, + GPT4TurboPreview: true, + GPT4VisionPreview: true, + GPT4Turbo1106: true, + GPT4Turbo0125: true, + GPT4Turbo: true, + GPT4Turbo20240409: true, + GPT40314: true, + GPT40613: true, + GPT432K: true, + GPT432K0314: true, + GPT432K0613: true, + O1: true, + GPT4Dot1: true, + GPT4Dot120250414: true, + GPT4Dot1Mini: true, + GPT4Dot1Mini20250414: true, + GPT4Dot1Nano: true, + GPT4Dot1Nano20250414: true, + }, + chatCompletionsSuffix: { + CodexCodeDavinci002: true, + CodexCodeCushman001: true, + CodexCodeDavinci001: true, + GPT3TextDavinci003: true, + GPT3TextDavinci002: true, + GPT3TextCurie001: true, + GPT3TextBabbage001: true, + GPT3TextAda001: true, + GPT3TextDavinci001: true, + GPT3DavinciInstructBeta: true, + GPT3Davinci: true, + GPT3CurieInstructBeta: true, + GPT3Curie: true, + GPT3Ada: true, + GPT3Babbage: true, + }, +} + +func checkEndpointSupportsModel(endpoint, model string) bool { + return !disabledModelsForEndpoints[endpoint][model] +} + +func checkPromptType(prompt any) bool { + _, isString := prompt.(string) + _, isStringSlice := prompt.([]string) + if isString || isStringSlice { + return true + } + + // check if it is prompt is []string hidden under []any + slice, isSlice := prompt.([]any) + if !isSlice { + return false + } + + for _, item := range slice { + _, itemIsString := item.(string) + if !itemIsString { + return false + } + } + return true // all items in the slice are string, so it is []string +} + +// CompletionRequest represents a request structure for completion API. +type CompletionRequest struct { + Model string `json:"model"` + Prompt any `json:"prompt,omitempty"` + BestOf int `json:"best_of,omitempty"` + Echo bool `json:"echo,omitempty"` + FrequencyPenalty float32 `json:"frequency_penalty,omitempty"` + // LogitBias is must be a token id string (specified by their token ID in the tokenizer), not a word string. + // incorrect: `"logit_bias":{"You": 6}`, correct: `"logit_bias":{"1639": 6}` + // refs: https://platform.openai.com/docs/api-reference/completions/create#completions/create-logit_bias + LogitBias map[string]int `json:"logit_bias,omitempty"` + // Store can be set to true to store the output of this completion request for use in distillations and evals. + // https://platform.openai.com/docs/api-reference/chat/create#chat-create-store + Store bool `json:"store,omitempty"` + // Metadata to store with the completion. + Metadata map[string]string `json:"metadata,omitempty"` + LogProbs int `json:"logprobs,omitempty"` + MaxTokens int `json:"max_tokens,omitempty"` + N int `json:"n,omitempty"` + PresencePenalty float32 `json:"presence_penalty,omitempty"` + Seed *int `json:"seed,omitempty"` + Stop []string `json:"stop,omitempty"` + Stream bool `json:"stream,omitempty"` + Suffix string `json:"suffix,omitempty"` + Temperature float32 `json:"temperature,omitempty"` + TopP float32 `json:"top_p,omitempty"` + User string `json:"user,omitempty"` + // Options for streaming response. Only set this when you set stream: true. + StreamOptions *StreamOptions `json:"stream_options,omitempty"` +} + +// CompletionChoice represents one of possible completions. +type CompletionChoice struct { + Text string `json:"text"` + Index int `json:"index"` + FinishReason string `json:"finish_reason"` + LogProbs LogprobResult `json:"logprobs"` +} + +// LogprobResult represents logprob result of Choice. +type LogprobResult struct { + Tokens []string `json:"tokens"` + TokenLogprobs []float32 `json:"token_logprobs"` + TopLogprobs []map[string]float32 `json:"top_logprobs"` + TextOffset []int `json:"text_offset"` +} + +// CompletionResponse represents a response structure for completion API. +type CompletionResponse struct { + ID string `json:"id"` + Object string `json:"object"` + Created int64 `json:"created"` + Model string `json:"model"` + Choices []CompletionChoice `json:"choices"` + Usage *Usage `json:"usage,omitempty"` + + httpHeader +} + +// CreateCompletion — API call to create a completion. This is the main endpoint of the API. Returns new text as well +// as, if requested, the probabilities over each alternative token at each position. +// +// If using a fine-tuned model, simply provide the model's ID in the CompletionRequest object, +// and the server will use the model's parameters to generate the completion. +func (c *Client) CreateCompletion( + ctx context.Context, + request CompletionRequest, +) (response CompletionResponse, err error) { + if request.Stream { + err = ErrCompletionStreamNotSupported + return + } + + urlSuffix := "/completions" + if !checkEndpointSupportsModel(urlSuffix, request.Model) { + err = ErrCompletionUnsupportedModel + return + } + + if !checkPromptType(request.Prompt) { + err = ErrCompletionRequestPromptTypeNotSupported + return + } + + req, err := c.newRequest( + ctx, + http.MethodPost, + c.fullURL(urlSuffix, withModel(request.Model)), + withBody(request), + ) + if err != nil { + return + } + + err = c.sendRequest(req, &response) + return +} diff --git a/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/completion_test.go b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/completion_test.go new file mode 100644 index 0000000..f0ead0d --- /dev/null +++ b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/completion_test.go @@ -0,0 +1,302 @@ +package openai_test + +import ( + "context" + "encoding/json" + "errors" + "fmt" + "io" + "net/http" + "strconv" + "strings" + "testing" + "time" + + "github.com/sashabaranov/go-openai" + "github.com/sashabaranov/go-openai/internal/test/checks" +) + +func TestCompletionsWrongModel(t *testing.T) { + config := openai.DefaultConfig("whatever") + config.BaseURL = "http://localhost/v1" + client := openai.NewClientWithConfig(config) + + _, err := client.CreateCompletion( + context.Background(), + openai.CompletionRequest{ + MaxTokens: 5, + Model: openai.GPT3Dot5Turbo, + }, + ) + if !errors.Is(err, openai.ErrCompletionUnsupportedModel) { + t.Fatalf("CreateCompletion should return ErrCompletionUnsupportedModel, but returned: %v", err) + } +} + +// TestCompletionsWrongModelO3 Tests the completions endpoint with O3 model which is not supported. +func TestCompletionsWrongModelO3(t *testing.T) { + config := openai.DefaultConfig("whatever") + config.BaseURL = "http://localhost/v1" + client := openai.NewClientWithConfig(config) + + _, err := client.CreateCompletion( + context.Background(), + openai.CompletionRequest{ + MaxTokens: 5, + Model: openai.O3, + }, + ) + if !errors.Is(err, openai.ErrCompletionUnsupportedModel) { + t.Fatalf("CreateCompletion should return ErrCompletionUnsupportedModel for O3, but returned: %v", err) + } +} + +// TestCompletionsWrongModelO4Mini Tests the completions endpoint with O4Mini model which is not supported. +func TestCompletionsWrongModelO4Mini(t *testing.T) { + config := openai.DefaultConfig("whatever") + config.BaseURL = "http://localhost/v1" + client := openai.NewClientWithConfig(config) + + _, err := client.CreateCompletion( + context.Background(), + openai.CompletionRequest{ + MaxTokens: 5, + Model: openai.O4Mini, + }, + ) + if !errors.Is(err, openai.ErrCompletionUnsupportedModel) { + t.Fatalf("CreateCompletion should return ErrCompletionUnsupportedModel for O4Mini, but returned: %v", err) + } +} + +func TestCompletionWithStream(t *testing.T) { + config := openai.DefaultConfig("whatever") + client := openai.NewClientWithConfig(config) + + ctx := context.Background() + req := openai.CompletionRequest{Stream: true} + _, err := client.CreateCompletion(ctx, req) + if !errors.Is(err, openai.ErrCompletionStreamNotSupported) { + t.Fatalf("CreateCompletion didn't return ErrCompletionStreamNotSupported") + } +} + +// TestCompletions Tests the completions endpoint of the API using the mocked server. +func TestCompletions(t *testing.T) { + client, server, teardown := setupOpenAITestServer() + defer teardown() + server.RegisterHandler("/v1/completions", handleCompletionEndpoint) + req := openai.CompletionRequest{ + MaxTokens: 5, + Model: "ada", + Prompt: "Lorem ipsum", + } + _, err := client.CreateCompletion(context.Background(), req) + checks.NoError(t, err, "CreateCompletion error") +} + +// TestMultiplePromptsCompletionsWrong Tests the completions endpoint of the API using the mocked server +// where the completions requests has a list of prompts with wrong type. +func TestMultiplePromptsCompletionsWrong(t *testing.T) { + client, server, teardown := setupOpenAITestServer() + defer teardown() + server.RegisterHandler("/v1/completions", handleCompletionEndpoint) + req := openai.CompletionRequest{ + MaxTokens: 5, + Model: "ada", + Prompt: []interface{}{"Lorem ipsum", 9}, + } + _, err := client.CreateCompletion(context.Background(), req) + if !errors.Is(err, openai.ErrCompletionRequestPromptTypeNotSupported) { + t.Fatalf("CreateCompletion should return ErrCompletionRequestPromptTypeNotSupported, but returned: %v", err) + } +} + +// TestMultiplePromptsCompletions Tests the completions endpoint of the API using the mocked server +// where the completions requests has a list of prompts. +func TestMultiplePromptsCompletions(t *testing.T) { + client, server, teardown := setupOpenAITestServer() + defer teardown() + server.RegisterHandler("/v1/completions", handleCompletionEndpoint) + req := openai.CompletionRequest{ + MaxTokens: 5, + Model: "ada", + Prompt: []interface{}{"Lorem ipsum", "Lorem ipsum"}, + } + _, err := client.CreateCompletion(context.Background(), req) + checks.NoError(t, err, "CreateCompletion error") +} + +// handleCompletionEndpoint Handles the completion endpoint by the test server. +func handleCompletionEndpoint(w http.ResponseWriter, r *http.Request) { + var err error + var resBytes []byte + + // completions only accepts POST requests + if r.Method != "POST" { + http.Error(w, "Method not allowed", http.StatusMethodNotAllowed) + } + var completionReq openai.CompletionRequest + if completionReq, err = getCompletionBody(r); err != nil { + http.Error(w, "could not read request", http.StatusInternalServerError) + return + } + res := openai.CompletionResponse{ + ID: strconv.Itoa(int(time.Now().Unix())), + Object: "test-object", + Created: time.Now().Unix(), + // would be nice to validate Model during testing, but + // this may not be possible with how much upkeep + // would be required / wouldn't make much sense + Model: completionReq.Model, + } + // create completions + n := completionReq.N + if n == 0 { + n = 1 + } + // Handle different types of prompts: single string or list of strings + prompts := []string{} + switch v := completionReq.Prompt.(type) { + case string: + prompts = append(prompts, v) + case []interface{}: + for _, item := range v { + if str, ok := item.(string); ok { + prompts = append(prompts, str) + } + } + default: + http.Error(w, "Invalid prompt type", http.StatusBadRequest) + return + } + + for i := 0; i < n; i++ { + for _, prompt := range prompts { + // Generate a random string of length completionReq.MaxTokens + completionStr := strings.Repeat("a", completionReq.MaxTokens) + if completionReq.Echo { + completionStr = prompt + completionStr + } + + res.Choices = append(res.Choices, openai.CompletionChoice{ + Text: completionStr, + Index: len(res.Choices), + }) + } + } + + inputTokens := 0 + for _, prompt := range prompts { + inputTokens += numTokens(prompt) + } + inputTokens *= n + completionTokens := completionReq.MaxTokens * len(prompts) * n + res.Usage = &openai.Usage{ + PromptTokens: inputTokens, + CompletionTokens: completionTokens, + TotalTokens: inputTokens + completionTokens, + } + + // Serialize the response and send it back + resBytes, _ = json.Marshal(res) + fmt.Fprintln(w, string(resBytes)) +} + +// getCompletionBody Returns the body of the request to create a completion. +func getCompletionBody(r *http.Request) (openai.CompletionRequest, error) { + completion := openai.CompletionRequest{} + // read the request body + reqBody, err := io.ReadAll(r.Body) + if err != nil { + return openai.CompletionRequest{}, err + } + err = json.Unmarshal(reqBody, &completion) + if err != nil { + return openai.CompletionRequest{}, err + } + return completion, nil +} + +// TestCompletionWithO1Model Tests that O1 model is not supported for completion endpoint. +func TestCompletionWithO1Model(t *testing.T) { + config := openai.DefaultConfig("whatever") + config.BaseURL = "http://localhost/v1" + client := openai.NewClientWithConfig(config) + + _, err := client.CreateCompletion( + context.Background(), + openai.CompletionRequest{ + MaxTokens: 5, + Model: openai.O1, + }, + ) + if !errors.Is(err, openai.ErrCompletionUnsupportedModel) { + t.Fatalf("CreateCompletion should return ErrCompletionUnsupportedModel for O1 model, but returned: %v", err) + } +} + +// TestCompletionWithGPT4DotModels Tests that newer GPT4 models are not supported for completion endpoint. +func TestCompletionWithGPT4DotModels(t *testing.T) { + config := openai.DefaultConfig("whatever") + config.BaseURL = "http://localhost/v1" + client := openai.NewClientWithConfig(config) + + models := []string{ + openai.GPT4Dot1, + openai.GPT4Dot120250414, + openai.GPT4Dot1Mini, + openai.GPT4Dot1Mini20250414, + openai.GPT4Dot1Nano, + openai.GPT4Dot1Nano20250414, + openai.GPT4Dot5Preview, + openai.GPT4Dot5Preview20250227, + } + + for _, model := range models { + t.Run(model, func(t *testing.T) { + _, err := client.CreateCompletion( + context.Background(), + openai.CompletionRequest{ + MaxTokens: 5, + Model: model, + }, + ) + if !errors.Is(err, openai.ErrCompletionUnsupportedModel) { + t.Fatalf("CreateCompletion should return ErrCompletionUnsupportedModel for %s model, but returned: %v", model, err) + } + }) + } +} + +// TestCompletionWithGPT4oModels Tests that GPT4o models are not supported for completion endpoint. +func TestCompletionWithGPT4oModels(t *testing.T) { + config := openai.DefaultConfig("whatever") + config.BaseURL = "http://localhost/v1" + client := openai.NewClientWithConfig(config) + + models := []string{ + openai.GPT4o, + openai.GPT4o20240513, + openai.GPT4o20240806, + openai.GPT4o20241120, + openai.GPT4oLatest, + openai.GPT4oMini, + openai.GPT4oMini20240718, + } + + for _, model := range models { + t.Run(model, func(t *testing.T) { + _, err := client.CreateCompletion( + context.Background(), + openai.CompletionRequest{ + MaxTokens: 5, + Model: model, + }, + ) + if !errors.Is(err, openai.ErrCompletionUnsupportedModel) { + t.Fatalf("CreateCompletion should return ErrCompletionUnsupportedModel for %s model, but returned: %v", model, err) + } + }) + } +} diff --git a/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/config.go b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/config.go new file mode 100644 index 0000000..4788ba6 --- /dev/null +++ b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/config.go @@ -0,0 +1,109 @@ +package openai + +import ( + "net/http" + "regexp" +) + +const ( + openaiAPIURLv1 = "https://api.openai.com/v1" + defaultEmptyMessagesLimit uint = 300 + + azureAPIPrefix = "openai" + azureDeploymentsPrefix = "deployments" + + AnthropicAPIVersion = "2023-06-01" +) + +type APIType string + +const ( + APITypeOpenAI APIType = "OPEN_AI" + APITypeAzure APIType = "AZURE" + APITypeAzureAD APIType = "AZURE_AD" + APITypeCloudflareAzure APIType = "CLOUDFLARE_AZURE" + APITypeAnthropic APIType = "ANTHROPIC" +) + +const AzureAPIKeyHeader = "api-key" + +const defaultAssistantVersion = "v2" // upgrade to v2 to support vector store + +type HTTPDoer interface { + Do(req *http.Request) (*http.Response, error) +} + +// ClientConfig is a configuration of a client. +type ClientConfig struct { + authToken string + + BaseURL string + OrgID string + APIType APIType + APIVersion string // required when APIType is APITypeAzure or APITypeAzureAD or APITypeAnthropic + AssistantVersion string + AzureModelMapperFunc func(model string) string // replace model to azure deployment name func + HTTPClient HTTPDoer + + EmptyMessagesLimit uint +} + +func DefaultConfig(authToken string) ClientConfig { + return ClientConfig{ + authToken: authToken, + BaseURL: openaiAPIURLv1, + APIType: APITypeOpenAI, + AssistantVersion: defaultAssistantVersion, + OrgID: "", + + HTTPClient: &http.Client{}, + + EmptyMessagesLimit: defaultEmptyMessagesLimit, + } +} + +func DefaultAzureConfig(apiKey, baseURL string) ClientConfig { + return ClientConfig{ + authToken: apiKey, + BaseURL: baseURL, + OrgID: "", + APIType: APITypeAzure, + APIVersion: "2023-05-15", + AzureModelMapperFunc: func(model string) string { + return regexp.MustCompile(`[.:]`).ReplaceAllString(model, "") + }, + + HTTPClient: &http.Client{}, + + EmptyMessagesLimit: defaultEmptyMessagesLimit, + } +} + +func DefaultAnthropicConfig(apiKey, baseURL string) ClientConfig { + if baseURL == "" { + baseURL = "https://api.anthropic.com/v1" + } + return ClientConfig{ + authToken: apiKey, + BaseURL: baseURL, + OrgID: "", + APIType: APITypeAnthropic, + APIVersion: AnthropicAPIVersion, + + HTTPClient: &http.Client{}, + + EmptyMessagesLimit: defaultEmptyMessagesLimit, + } +} + +func (ClientConfig) String() string { + return "" +} + +func (c ClientConfig) GetAzureDeploymentByModel(model string) string { + if c.AzureModelMapperFunc != nil { + return c.AzureModelMapperFunc(model) + } + + return model +} diff --git a/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/config_test.go b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/config_test.go new file mode 100644 index 0000000..9602308 --- /dev/null +++ b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/config_test.go @@ -0,0 +1,123 @@ +package openai_test + +import ( + "testing" + + "github.com/sashabaranov/go-openai" +) + +func TestGetAzureDeploymentByModel(t *testing.T) { + cases := []struct { + Model string + AzureModelMapperFunc func(model string) string + Expect string + }{ + { + Model: "gpt-3.5-turbo", + Expect: "gpt-35-turbo", + }, + { + Model: "gpt-3.5-turbo-0301", + Expect: "gpt-35-turbo-0301", + }, + { + Model: "text-embedding-ada-002", + Expect: "text-embedding-ada-002", + }, + { + Model: "", + Expect: "", + }, + { + Model: "models", + Expect: "models", + }, + { + Model: "gpt-3.5-turbo", + Expect: "my-gpt35", + AzureModelMapperFunc: func(model string) string { + modelmapper := map[string]string{ + "gpt-3.5-turbo": "my-gpt35", + } + if val, ok := modelmapper[model]; ok { + return val + } + return model + }, + }, + } + + for _, c := range cases { + t.Run(c.Model, func(t *testing.T) { + conf := openai.DefaultAzureConfig("", "https://test.openai.azure.com/") + if c.AzureModelMapperFunc != nil { + conf.AzureModelMapperFunc = c.AzureModelMapperFunc + } + actual := conf.GetAzureDeploymentByModel(c.Model) + if actual != c.Expect { + t.Errorf("Expected %s, got %s", c.Expect, actual) + } + }) + } +} + +func TestDefaultAnthropicConfig(t *testing.T) { + apiKey := "test-key" + baseURL := "https://api.anthropic.com/v1" + + config := openai.DefaultAnthropicConfig(apiKey, baseURL) + + if config.APIType != openai.APITypeAnthropic { + t.Errorf("Expected APIType to be %v, got %v", openai.APITypeAnthropic, config.APIType) + } + + if config.APIVersion != openai.AnthropicAPIVersion { + t.Errorf("Expected APIVersion to be 2023-06-01, got %v", config.APIVersion) + } + + if config.BaseURL != baseURL { + t.Errorf("Expected BaseURL to be %v, got %v", baseURL, config.BaseURL) + } + + if config.EmptyMessagesLimit != 300 { + t.Errorf("Expected EmptyMessagesLimit to be 300, got %v", config.EmptyMessagesLimit) + } +} + +func TestDefaultAnthropicConfigWithEmptyValues(t *testing.T) { + config := openai.DefaultAnthropicConfig("", "") + + if config.APIType != openai.APITypeAnthropic { + t.Errorf("Expected APIType to be %v, got %v", openai.APITypeAnthropic, config.APIType) + } + + if config.APIVersion != openai.AnthropicAPIVersion { + t.Errorf("Expected APIVersion to be %s, got %v", openai.AnthropicAPIVersion, config.APIVersion) + } + + expectedBaseURL := "https://api.anthropic.com/v1" + if config.BaseURL != expectedBaseURL { + t.Errorf("Expected BaseURL to be %v, got %v", expectedBaseURL, config.BaseURL) + } +} + +func TestClientConfigString(t *testing.T) { + // String() should always return the constant value + conf := openai.DefaultConfig("dummy-token") + expected := "" + got := conf.String() + if got != expected { + t.Errorf("ClientConfig.String() = %q; want %q", got, expected) + } +} + +func TestGetAzureDeploymentByModel_NoMapper(t *testing.T) { + // On a zero-value or DefaultConfig, AzureModelMapperFunc is nil, + // so GetAzureDeploymentByModel should just return the input model. + conf := openai.DefaultConfig("dummy-token") + model := "some-model" + got := conf.GetAzureDeploymentByModel(model) + if got != model { + t.Errorf("GetAzureDeploymentByModel(%q) = %q; want %q", model, got, model) + } +} diff --git a/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/edits.go b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/edits.go new file mode 100644 index 0000000..fe8ecd0 --- /dev/null +++ b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/edits.go @@ -0,0 +1,53 @@ +package openai + +import ( + "context" + "fmt" + "net/http" +) + +// EditsRequest represents a request structure for Edits API. +type EditsRequest struct { + Model *string `json:"model,omitempty"` + Input string `json:"input,omitempty"` + Instruction string `json:"instruction,omitempty"` + N int `json:"n,omitempty"` + Temperature float32 `json:"temperature,omitempty"` + TopP float32 `json:"top_p,omitempty"` +} + +// EditsChoice represents one of possible edits. +type EditsChoice struct { + Text string `json:"text"` + Index int `json:"index"` +} + +// EditsResponse represents a response structure for Edits API. +type EditsResponse struct { + Object string `json:"object"` + Created int64 `json:"created"` + Usage Usage `json:"usage"` + Choices []EditsChoice `json:"choices"` + + httpHeader +} + +// Edits Perform an API call to the Edits endpoint. +/* Deprecated: Users of the Edits API and its associated models (e.g., text-davinci-edit-001 or code-davinci-edit-001) +will need to migrate to GPT-3.5 Turbo by January 4, 2024. +You can use CreateChatCompletion or CreateChatCompletionStream instead. +*/ +func (c *Client) Edits(ctx context.Context, request EditsRequest) (response EditsResponse, err error) { + req, err := c.newRequest( + ctx, + http.MethodPost, + c.fullURL("/edits", withModel(fmt.Sprint(request.Model))), + withBody(request), + ) + if err != nil { + return + } + + err = c.sendRequest(req, &response) + return +} diff --git a/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/edits_test.go b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/edits_test.go new file mode 100644 index 0000000..d2a6db4 --- /dev/null +++ b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/edits_test.go @@ -0,0 +1,92 @@ +package openai_test + +import ( + "context" + "encoding/json" + "fmt" + "io" + "net/http" + "testing" + "time" + + "github.com/sashabaranov/go-openai" + "github.com/sashabaranov/go-openai/internal/test/checks" +) + +// TestEdits Tests the edits endpoint of the API using the mocked server. +func TestEdits(t *testing.T) { + client, server, teardown := setupOpenAITestServer() + defer teardown() + server.RegisterHandler("/v1/edits", handleEditEndpoint) + // create an edit request + model := "ada" + editReq := openai.EditsRequest{ + Model: &model, + Input: "Lorem ipsum dolor sit amet, consectetur adipiscing elit, " + + "sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim" + + " ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip" + + " ex ea commodo consequat. Duis aute irure dolor in reprehe", + Instruction: "test instruction", + N: 3, + } + response, err := client.Edits(context.Background(), editReq) + checks.NoError(t, err, "Edits error") + if len(response.Choices) != editReq.N { + t.Fatalf("edits does not properly return the correct number of choices") + } +} + +// handleEditEndpoint Handles the edit endpoint by the test server. +func handleEditEndpoint(w http.ResponseWriter, r *http.Request) { + var err error + var resBytes []byte + + // edits only accepts POST requests + if r.Method != "POST" { + http.Error(w, "Method not allowed", http.StatusMethodNotAllowed) + } + var editReq openai.EditsRequest + editReq, err = getEditBody(r) + if err != nil { + http.Error(w, "could not read request", http.StatusInternalServerError) + return + } + // create a response + res := openai.EditsResponse{ + Object: "test-object", + Created: time.Now().Unix(), + } + // edit and calculate token usage + editString := "edited by mocked OpenAI server :)" + inputTokens := numTokens(editReq.Input+editReq.Instruction) * editReq.N + completionTokens := int(float32(len(editString))/4) * editReq.N + for i := 0; i < editReq.N; i++ { + // instruction will be hidden and only seen by OpenAI + res.Choices = append(res.Choices, openai.EditsChoice{ + Text: editReq.Input + editString, + Index: i, + }) + } + res.Usage = openai.Usage{ + PromptTokens: inputTokens, + CompletionTokens: completionTokens, + TotalTokens: inputTokens + completionTokens, + } + resBytes, _ = json.Marshal(res) + fmt.Fprint(w, string(resBytes)) +} + +// getEditBody Returns the body of the request to create an edit. +func getEditBody(r *http.Request) (openai.EditsRequest, error) { + edit := openai.EditsRequest{} + // read the request body + reqBody, err := io.ReadAll(r.Body) + if err != nil { + return openai.EditsRequest{}, err + } + err = json.Unmarshal(reqBody, &edit) + if err != nil { + return openai.EditsRequest{}, err + } + return edit, nil +} diff --git a/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/embeddings.go b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/embeddings.go new file mode 100644 index 0000000..4a0e682 --- /dev/null +++ b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/embeddings.go @@ -0,0 +1,267 @@ +package openai + +import ( + "context" + "encoding/base64" + "encoding/binary" + "errors" + "math" + "net/http" +) + +var ErrVectorLengthMismatch = errors.New("vector length mismatch") + +// EmbeddingModel enumerates the models which can be used +// to generate Embedding vectors. +type EmbeddingModel string + +const ( + // Deprecated: The following block is shut down. Use text-embedding-ada-002 instead. + AdaSimilarity EmbeddingModel = "text-similarity-ada-001" + BabbageSimilarity EmbeddingModel = "text-similarity-babbage-001" + CurieSimilarity EmbeddingModel = "text-similarity-curie-001" + DavinciSimilarity EmbeddingModel = "text-similarity-davinci-001" + AdaSearchDocument EmbeddingModel = "text-search-ada-doc-001" + AdaSearchQuery EmbeddingModel = "text-search-ada-query-001" + BabbageSearchDocument EmbeddingModel = "text-search-babbage-doc-001" + BabbageSearchQuery EmbeddingModel = "text-search-babbage-query-001" + CurieSearchDocument EmbeddingModel = "text-search-curie-doc-001" + CurieSearchQuery EmbeddingModel = "text-search-curie-query-001" + DavinciSearchDocument EmbeddingModel = "text-search-davinci-doc-001" + DavinciSearchQuery EmbeddingModel = "text-search-davinci-query-001" + AdaCodeSearchCode EmbeddingModel = "code-search-ada-code-001" + AdaCodeSearchText EmbeddingModel = "code-search-ada-text-001" + BabbageCodeSearchCode EmbeddingModel = "code-search-babbage-code-001" + BabbageCodeSearchText EmbeddingModel = "code-search-babbage-text-001" + + AdaEmbeddingV2 EmbeddingModel = "text-embedding-ada-002" + SmallEmbedding3 EmbeddingModel = "text-embedding-3-small" + LargeEmbedding3 EmbeddingModel = "text-embedding-3-large" +) + +// Embedding is a special format of data representation that can be easily utilized by machine +// learning models and algorithms. The embedding is an information dense representation of the +// semantic meaning of a piece of text. Each embedding is a vector of floating point numbers, +// such that the distance between two embeddings in the vector space is correlated with semantic similarity +// between two inputs in the original format. For example, if two texts are similar, +// then their vector representations should also be similar. +type Embedding struct { + Object string `json:"object"` + Embedding []float32 `json:"embedding"` + Index int `json:"index"` +} + +// DotProduct calculates the dot product of the embedding vector with another +// embedding vector. Both vectors must have the same length; otherwise, an +// ErrVectorLengthMismatch is returned. The method returns the calculated dot +// product as a float32 value. +func (e *Embedding) DotProduct(other *Embedding) (float32, error) { + if len(e.Embedding) != len(other.Embedding) { + return 0, ErrVectorLengthMismatch + } + + var dotProduct float32 + for i := range e.Embedding { + dotProduct += e.Embedding[i] * other.Embedding[i] + } + + return dotProduct, nil +} + +// EmbeddingResponse is the response from a Create embeddings request. +type EmbeddingResponse struct { + Object string `json:"object"` + Data []Embedding `json:"data"` + Model EmbeddingModel `json:"model"` + Usage Usage `json:"usage"` + + httpHeader +} + +type base64String string + +func (b base64String) Decode() ([]float32, error) { + decodedData, err := base64.StdEncoding.DecodeString(string(b)) + if err != nil { + return nil, err + } + + const sizeOfFloat32 = 4 + floats := make([]float32, len(decodedData)/sizeOfFloat32) + for i := 0; i < len(floats); i++ { + floats[i] = math.Float32frombits(binary.LittleEndian.Uint32(decodedData[i*4 : (i+1)*4])) + } + + return floats, nil +} + +// Base64Embedding is a container for base64 encoded embeddings. +type Base64Embedding struct { + Object string `json:"object"` + Embedding base64String `json:"embedding"` + Index int `json:"index"` +} + +// EmbeddingResponseBase64 is the response from a Create embeddings request with base64 encoding format. +type EmbeddingResponseBase64 struct { + Object string `json:"object"` + Data []Base64Embedding `json:"data"` + Model EmbeddingModel `json:"model"` + Usage Usage `json:"usage"` + + httpHeader +} + +// ToEmbeddingResponse converts an embeddingResponseBase64 to an EmbeddingResponse. +func (r *EmbeddingResponseBase64) ToEmbeddingResponse() (EmbeddingResponse, error) { + data := make([]Embedding, len(r.Data)) + + for i, base64Embedding := range r.Data { + embedding, err := base64Embedding.Embedding.Decode() + if err != nil { + return EmbeddingResponse{}, err + } + + data[i] = Embedding{ + Object: base64Embedding.Object, + Embedding: embedding, + Index: base64Embedding.Index, + } + } + + return EmbeddingResponse{ + Object: r.Object, + Model: r.Model, + Data: data, + Usage: r.Usage, + }, nil +} + +type EmbeddingRequestConverter interface { + // Needs to be of type EmbeddingRequestStrings or EmbeddingRequestTokens + Convert() EmbeddingRequest +} + +// EmbeddingEncodingFormat is the format of the embeddings data. +// Currently, only "float" and "base64" are supported, however, "base64" is not officially documented. +// If not specified OpenAI will use "float". +type EmbeddingEncodingFormat string + +const ( + EmbeddingEncodingFormatFloat EmbeddingEncodingFormat = "float" + EmbeddingEncodingFormatBase64 EmbeddingEncodingFormat = "base64" +) + +type EmbeddingRequest struct { + Input any `json:"input"` + Model EmbeddingModel `json:"model"` + User string `json:"user,omitempty"` + EncodingFormat EmbeddingEncodingFormat `json:"encoding_format,omitempty"` + // Dimensions The number of dimensions the resulting output embeddings should have. + // Only supported in text-embedding-3 and later models. + Dimensions int `json:"dimensions,omitempty"` +} + +func (r EmbeddingRequest) Convert() EmbeddingRequest { + return r +} + +// EmbeddingRequestStrings is the input to a create embeddings request with a slice of strings. +type EmbeddingRequestStrings struct { + // Input is a slice of strings for which you want to generate an Embedding vector. + // Each input must not exceed 8192 tokens in length. + // OpenAPI suggests replacing newlines (\n) in your input with a single space, as they + // have observed inferior results when newlines are present. + // E.g. + // "The food was delicious and the waiter..." + Input []string `json:"input"` + // ID of the model to use. You can use the List models API to see all of your available models, + // or see our Model overview for descriptions of them. + Model EmbeddingModel `json:"model"` + // A unique identifier representing your end-user, which will help OpenAI to monitor and detect abuse. + User string `json:"user"` + // EmbeddingEncodingFormat is the format of the embeddings data. + // Currently, only "float" and "base64" are supported, however, "base64" is not officially documented. + // If not specified OpenAI will use "float". + EncodingFormat EmbeddingEncodingFormat `json:"encoding_format,omitempty"` + // Dimensions The number of dimensions the resulting output embeddings should have. + // Only supported in text-embedding-3 and later models. + Dimensions int `json:"dimensions,omitempty"` +} + +func (r EmbeddingRequestStrings) Convert() EmbeddingRequest { + return EmbeddingRequest{ + Input: r.Input, + Model: r.Model, + User: r.User, + EncodingFormat: r.EncodingFormat, + Dimensions: r.Dimensions, + } +} + +type EmbeddingRequestTokens struct { + // Input is a slice of slices of ints ([][]int) for which you want to generate an Embedding vector. + // Each input must not exceed 8192 tokens in length. + // OpenAPI suggests replacing newlines (\n) in your input with a single space, as they + // have observed inferior results when newlines are present. + // E.g. + // "The food was delicious and the waiter..." + Input [][]int `json:"input"` + // ID of the model to use. You can use the List models API to see all of your available models, + // or see our Model overview for descriptions of them. + Model EmbeddingModel `json:"model"` + // A unique identifier representing your end-user, which will help OpenAI to monitor and detect abuse. + User string `json:"user"` + // EmbeddingEncodingFormat is the format of the embeddings data. + // Currently, only "float" and "base64" are supported, however, "base64" is not officially documented. + // If not specified OpenAI will use "float". + EncodingFormat EmbeddingEncodingFormat `json:"encoding_format,omitempty"` + // Dimensions The number of dimensions the resulting output embeddings should have. + // Only supported in text-embedding-3 and later models. + Dimensions int `json:"dimensions,omitempty"` +} + +func (r EmbeddingRequestTokens) Convert() EmbeddingRequest { + return EmbeddingRequest{ + Input: r.Input, + Model: r.Model, + User: r.User, + EncodingFormat: r.EncodingFormat, + Dimensions: r.Dimensions, + } +} + +// CreateEmbeddings returns an EmbeddingResponse which will contain an Embedding for every item in |body.Input|. +// https://beta.openai.com/docs/api-reference/embeddings/create +// +// Body should be of type EmbeddingRequestStrings for embedding strings or EmbeddingRequestTokens +// for embedding groups of text already converted to tokens. +func (c *Client) CreateEmbeddings( + ctx context.Context, + conv EmbeddingRequestConverter, +) (res EmbeddingResponse, err error) { + baseReq := conv.Convert() + req, err := c.newRequest( + ctx, + http.MethodPost, + c.fullURL("/embeddings", withModel(string(baseReq.Model))), + withBody(baseReq), + ) + if err != nil { + return + } + + if baseReq.EncodingFormat != EmbeddingEncodingFormatBase64 { + err = c.sendRequest(req, &res) + return + } + + base64Response := &EmbeddingResponseBase64{} + err = c.sendRequest(req, base64Response) + if err != nil { + return + } + + res, err = base64Response.ToEmbeddingResponse() + return +} diff --git a/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/embeddings_test.go b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/embeddings_test.go new file mode 100644 index 0000000..4389781 --- /dev/null +++ b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/embeddings_test.go @@ -0,0 +1,283 @@ +package openai_test + +import ( + "bytes" + "context" + "encoding/json" + "errors" + "fmt" + "math" + "net/http" + "reflect" + "testing" + + "github.com/sashabaranov/go-openai" + "github.com/sashabaranov/go-openai/internal/test/checks" +) + +func TestEmbedding(t *testing.T) { + embeddedModels := []openai.EmbeddingModel{ + openai.AdaSimilarity, + openai.BabbageSimilarity, + openai.CurieSimilarity, + openai.DavinciSimilarity, + openai.AdaSearchDocument, + openai.AdaSearchQuery, + openai.BabbageSearchDocument, + openai.BabbageSearchQuery, + openai.CurieSearchDocument, + openai.CurieSearchQuery, + openai.DavinciSearchDocument, + openai.DavinciSearchQuery, + openai.AdaCodeSearchCode, + openai.AdaCodeSearchText, + openai.BabbageCodeSearchCode, + openai.BabbageCodeSearchText, + } + for _, model := range embeddedModels { + // test embedding request with strings (simple embedding request) + embeddingReq := openai.EmbeddingRequest{ + Input: []string{ + "The food was delicious and the waiter", + "Other examples of embedding request", + }, + Model: model, + } + // marshal embeddingReq to JSON and confirm that the model field equals + // the AdaSearchQuery type + marshaled, err := json.Marshal(embeddingReq) + checks.NoError(t, err, "Could not marshal embedding request") + if !bytes.Contains(marshaled, []byte(`"model":"`+model+`"`)) { + t.Fatalf("Expected embedding request to contain model field") + } + + // test embedding request with strings + embeddingReqStrings := openai.EmbeddingRequestStrings{ + Input: []string{ + "The food was delicious and the waiter", + "Other examples of embedding request", + }, + Model: model, + } + marshaled, err = json.Marshal(embeddingReqStrings) + checks.NoError(t, err, "Could not marshal embedding request") + if !bytes.Contains(marshaled, []byte(`"model":"`+model+`"`)) { + t.Fatalf("Expected embedding request to contain model field") + } + + // test embedding request with tokens + embeddingReqTokens := openai.EmbeddingRequestTokens{ + Input: [][]int{ + {464, 2057, 373, 12625, 290, 262, 46612}, + {6395, 6096, 286, 11525, 12083, 2581}, + }, + Model: model, + } + marshaled, err = json.Marshal(embeddingReqTokens) + checks.NoError(t, err, "Could not marshal embedding request") + if !bytes.Contains(marshaled, []byte(`"model":"`+model+`"`)) { + t.Fatalf("Expected embedding request to contain model field") + } + } +} + +func TestEmbeddingEndpoint(t *testing.T) { + client, server, teardown := setupOpenAITestServer() + defer teardown() + + sampleEmbeddings := []openai.Embedding{ + {Embedding: []float32{1.23, 4.56, 7.89}}, + {Embedding: []float32{-0.006968617, -0.0052718227, 0.011901081}}, + } + + sampleBase64Embeddings := []openai.Base64Embedding{ + {Embedding: "pHCdP4XrkUDhevxA"}, + {Embedding: "/1jku0G/rLvA/EI8"}, + } + + server.RegisterHandler( + "/v1/embeddings", + func(w http.ResponseWriter, r *http.Request) { + var req struct { + EncodingFormat openai.EmbeddingEncodingFormat `json:"encoding_format"` + User string `json:"user"` + } + _ = json.NewDecoder(r.Body).Decode(&req) + + var resBytes []byte + switch { + case req.User == "invalid": + w.WriteHeader(http.StatusBadRequest) + return + case req.EncodingFormat == openai.EmbeddingEncodingFormatBase64: + resBytes, _ = json.Marshal(openai.EmbeddingResponseBase64{Data: sampleBase64Embeddings}) + default: + resBytes, _ = json.Marshal(openai.EmbeddingResponse{Data: sampleEmbeddings}) + } + fmt.Fprintln(w, string(resBytes)) + }, + ) + // test create embeddings with strings (simple embedding request) + res, err := client.CreateEmbeddings(context.Background(), openai.EmbeddingRequest{}) + checks.NoError(t, err, "CreateEmbeddings error") + if !reflect.DeepEqual(res.Data, sampleEmbeddings) { + t.Errorf("Expected %#v embeddings, got %#v", sampleEmbeddings, res.Data) + } + + // test create embeddings with strings (simple embedding request) + res, err = client.CreateEmbeddings( + context.Background(), + openai.EmbeddingRequest{ + EncodingFormat: openai.EmbeddingEncodingFormatBase64, + }, + ) + checks.NoError(t, err, "CreateEmbeddings error") + if !reflect.DeepEqual(res.Data, sampleEmbeddings) { + t.Errorf("Expected %#v embeddings, got %#v", sampleEmbeddings, res.Data) + } + + // test create embeddings with strings + res, err = client.CreateEmbeddings(context.Background(), openai.EmbeddingRequestStrings{}) + checks.NoError(t, err, "CreateEmbeddings strings error") + if !reflect.DeepEqual(res.Data, sampleEmbeddings) { + t.Errorf("Expected %#v embeddings, got %#v", sampleEmbeddings, res.Data) + } + + // test create embeddings with tokens + res, err = client.CreateEmbeddings(context.Background(), openai.EmbeddingRequestTokens{}) + checks.NoError(t, err, "CreateEmbeddings tokens error") + if !reflect.DeepEqual(res.Data, sampleEmbeddings) { + t.Errorf("Expected %#v embeddings, got %#v", sampleEmbeddings, res.Data) + } + + // test failed sendRequest + _, err = client.CreateEmbeddings(context.Background(), openai.EmbeddingRequest{ + User: "invalid", + EncodingFormat: openai.EmbeddingEncodingFormatBase64, + }) + checks.HasError(t, err, "CreateEmbeddings error") +} + +func TestAzureEmbeddingEndpoint(t *testing.T) { + client, server, teardown := setupAzureTestServer() + defer teardown() + + sampleEmbeddings := []openai.Embedding{ + {Embedding: []float32{1.23, 4.56, 7.89}}, + {Embedding: []float32{-0.006968617, -0.0052718227, 0.011901081}}, + } + + server.RegisterHandler( + "/openai/deployments/text-embedding-ada-002/embeddings", + func(w http.ResponseWriter, _ *http.Request) { + resBytes, _ := json.Marshal(openai.EmbeddingResponse{Data: sampleEmbeddings}) + fmt.Fprintln(w, string(resBytes)) + }, + ) + // test create embeddings with strings (simple embedding request) + res, err := client.CreateEmbeddings(context.Background(), openai.EmbeddingRequest{ + Model: openai.AdaEmbeddingV2, + }) + checks.NoError(t, err, "CreateEmbeddings error") + if !reflect.DeepEqual(res.Data, sampleEmbeddings) { + t.Errorf("Expected %#v embeddings, got %#v", sampleEmbeddings, res.Data) + } +} + +func TestEmbeddingResponseBase64_ToEmbeddingResponse(t *testing.T) { + type fields struct { + Object string + Data []openai.Base64Embedding + Model openai.EmbeddingModel + Usage openai.Usage + } + tests := []struct { + name string + fields fields + want openai.EmbeddingResponse + wantErr bool + }{ + { + name: "test embedding response base64 to embedding response", + fields: fields{ + Data: []openai.Base64Embedding{ + {Embedding: "pHCdP4XrkUDhevxA"}, + {Embedding: "/1jku0G/rLvA/EI8"}, + }, + }, + want: openai.EmbeddingResponse{ + Data: []openai.Embedding{ + {Embedding: []float32{1.23, 4.56, 7.89}}, + {Embedding: []float32{-0.006968617, -0.0052718227, 0.011901081}}, + }, + }, + wantErr: false, + }, + { + name: "Invalid embedding", + fields: fields{ + Data: []openai.Base64Embedding{ + { + Embedding: "----", + }, + }, + }, + want: openai.EmbeddingResponse{}, + wantErr: true, + }, + } + for _, tt := range tests { + t.Run(tt.name, func(t *testing.T) { + r := &openai.EmbeddingResponseBase64{ + Object: tt.fields.Object, + Data: tt.fields.Data, + Model: tt.fields.Model, + Usage: tt.fields.Usage, + } + got, err := r.ToEmbeddingResponse() + if (err != nil) != tt.wantErr { + t.Errorf("EmbeddingResponseBase64.ToEmbeddingResponse() error = %v, wantErr %v", err, tt.wantErr) + return + } + if !reflect.DeepEqual(got, tt.want) { + t.Errorf("EmbeddingResponseBase64.ToEmbeddingResponse() = %v, want %v", got, tt.want) + } + }) + } +} + +func TestDotProduct(t *testing.T) { + v1 := &openai.Embedding{Embedding: []float32{1, 2, 3}} + v2 := &openai.Embedding{Embedding: []float32{2, 4, 6}} + expected := float32(28.0) + + result, err := v1.DotProduct(v2) + if err != nil { + t.Errorf("Unexpected error: %v", err) + } + + if math.Abs(float64(result-expected)) > 1e-12 { + t.Errorf("Unexpected result. Expected: %v, but got %v", expected, result) + } + + v1 = &openai.Embedding{Embedding: []float32{1, 0, 0}} + v2 = &openai.Embedding{Embedding: []float32{0, 1, 0}} + expected = float32(0.0) + + result, err = v1.DotProduct(v2) + if err != nil { + t.Errorf("Unexpected error: %v", err) + } + + if math.Abs(float64(result-expected)) > 1e-12 { + t.Errorf("Unexpected result. Expected: %v, but got %v", expected, result) + } + + // Test for VectorLengthMismatchError + v1 = &openai.Embedding{Embedding: []float32{1, 0, 0}} + v2 = &openai.Embedding{Embedding: []float32{0, 1}} + _, err = v1.DotProduct(v2) + if !errors.Is(err, openai.ErrVectorLengthMismatch) { + t.Errorf("Expected Vector Length Mismatch Error, but got: %v", err) + } +} diff --git a/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/engines.go b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/engines.go new file mode 100644 index 0000000..5a0dba8 --- /dev/null +++ b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/engines.go @@ -0,0 +1,52 @@ +package openai + +import ( + "context" + "fmt" + "net/http" +) + +// Engine struct represents engine from OpenAPI API. +type Engine struct { + ID string `json:"id"` + Object string `json:"object"` + Owner string `json:"owner"` + Ready bool `json:"ready"` + + httpHeader +} + +// EnginesList is a list of engines. +type EnginesList struct { + Engines []Engine `json:"data"` + + httpHeader +} + +// ListEngines Lists the currently available engines, and provides basic +// information about each option such as the owner and availability. +func (c *Client) ListEngines(ctx context.Context) (engines EnginesList, err error) { + req, err := c.newRequest(ctx, http.MethodGet, c.fullURL("/engines")) + if err != nil { + return + } + + err = c.sendRequest(req, &engines) + return +} + +// GetEngine Retrieves an engine instance, providing basic information about +// the engine such as the owner and availability. +func (c *Client) GetEngine( + ctx context.Context, + engineID string, +) (engine Engine, err error) { + urlSuffix := fmt.Sprintf("/engines/%s", engineID) + req, err := c.newRequest(ctx, http.MethodGet, c.fullURL(urlSuffix)) + if err != nil { + return + } + + err = c.sendRequest(req, &engine) + return +} diff --git a/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/engines_test.go b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/engines_test.go new file mode 100644 index 0000000..d26aa55 --- /dev/null +++ b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/engines_test.go @@ -0,0 +1,47 @@ +package openai_test + +import ( + "context" + "encoding/json" + "fmt" + "net/http" + "testing" + + "github.com/sashabaranov/go-openai" + "github.com/sashabaranov/go-openai/internal/test/checks" +) + +// TestGetEngine Tests the retrieve engine endpoint of the API using the mocked server. +func TestGetEngine(t *testing.T) { + client, server, teardown := setupOpenAITestServer() + defer teardown() + server.RegisterHandler("/v1/engines/text-davinci-003", func(w http.ResponseWriter, _ *http.Request) { + resBytes, _ := json.Marshal(openai.Engine{}) + fmt.Fprintln(w, string(resBytes)) + }) + _, err := client.GetEngine(context.Background(), "text-davinci-003") + checks.NoError(t, err, "GetEngine error") +} + +// TestListEngines Tests the list engines endpoint of the API using the mocked server. +func TestListEngines(t *testing.T) { + client, server, teardown := setupOpenAITestServer() + defer teardown() + server.RegisterHandler("/v1/engines", func(w http.ResponseWriter, _ *http.Request) { + resBytes, _ := json.Marshal(openai.EnginesList{}) + fmt.Fprintln(w, string(resBytes)) + }) + _, err := client.ListEngines(context.Background()) + checks.NoError(t, err, "ListEngines error") +} + +func TestListEnginesReturnError(t *testing.T) { + client, server, teardown := setupOpenAITestServer() + defer teardown() + server.RegisterHandler("/v1/engines", func(w http.ResponseWriter, _ *http.Request) { + w.WriteHeader(http.StatusTeapot) + }) + + _, err := client.ListEngines(context.Background()) + checks.HasError(t, err, "ListEngines did not fail") +} diff --git a/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/error.go b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/error.go new file mode 100644 index 0000000..8a74bd5 --- /dev/null +++ b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/error.go @@ -0,0 +1,115 @@ +package openai + +import ( + "encoding/json" + "fmt" + "strings" +) + +// APIError provides error information returned by the OpenAI API. +// InnerError struct is only valid for Azure OpenAI Service. +type APIError struct { + Code any `json:"code,omitempty"` + Message string `json:"message"` + Param *string `json:"param,omitempty"` + Type string `json:"type"` + HTTPStatus string `json:"-"` + HTTPStatusCode int `json:"-"` + InnerError *InnerError `json:"innererror,omitempty"` +} + +// InnerError Azure Content filtering. Only valid for Azure OpenAI Service. +type InnerError struct { + Code string `json:"code,omitempty"` + ContentFilterResults ContentFilterResults `json:"content_filter_result,omitempty"` +} + +// RequestError provides information about generic request errors. +type RequestError struct { + HTTPStatus string + HTTPStatusCode int + Err error + Body []byte +} + +type ErrorResponse struct { + Error *APIError `json:"error,omitempty"` +} + +func (e *APIError) Error() string { + if e.HTTPStatusCode > 0 { + return fmt.Sprintf("error, status code: %d, status: %s, message: %s", e.HTTPStatusCode, e.HTTPStatus, e.Message) + } + + return e.Message +} + +func (e *APIError) UnmarshalJSON(data []byte) (err error) { + var rawMap map[string]json.RawMessage + err = json.Unmarshal(data, &rawMap) + if err != nil { + return + } + + err = json.Unmarshal(rawMap["message"], &e.Message) + if err != nil { + // If the parameter field of a function call is invalid as a JSON schema + // refs: https://github.com/sashabaranov/go-openai/issues/381 + var messages []string + err = json.Unmarshal(rawMap["message"], &messages) + if err != nil { + return + } + e.Message = strings.Join(messages, ", ") + } + + // optional fields for azure openai + // refs: https://github.com/sashabaranov/go-openai/issues/343 + if _, ok := rawMap["type"]; ok { + err = json.Unmarshal(rawMap["type"], &e.Type) + if err != nil { + return + } + } + + if _, ok := rawMap["innererror"]; ok { + err = json.Unmarshal(rawMap["innererror"], &e.InnerError) + if err != nil { + return + } + } + + // optional fields + if _, ok := rawMap["param"]; ok { + err = json.Unmarshal(rawMap["param"], &e.Param) + if err != nil { + return + } + } + + if _, ok := rawMap["code"]; !ok { + return nil + } + + // if the api returned a number, we need to force an integer + // since the json package defaults to float64 + var intCode int + err = json.Unmarshal(rawMap["code"], &intCode) + if err == nil { + e.Code = intCode + return nil + } + + return json.Unmarshal(rawMap["code"], &e.Code) +} + +func (e *RequestError) Error() string { + return fmt.Sprintf( + "error, status code: %d, status: %s, message: %s, body: %s", + e.HTTPStatusCode, e.HTTPStatus, e.Err, e.Body, + ) +} + +func (e *RequestError) Unwrap() error { + return e.Err +} diff --git a/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/error_test.go b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/error_test.go new file mode 100644 index 0000000..48cbe4f --- /dev/null +++ b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/error_test.go @@ -0,0 +1,279 @@ +package openai_test + +import ( + "errors" + "net/http" + "reflect" + "testing" + + "github.com/sashabaranov/go-openai" +) + +func TestAPIErrorUnmarshalJSON(t *testing.T) { + type testCase struct { + name string + response string + hasError bool + checkFunc func(t *testing.T, apiErr openai.APIError) + } + testCases := []testCase{ + // testcase for message field + { + name: "parse succeeds when the message is string", + response: `{"message":"foo","type":"invalid_request_error","param":null,"code":null}`, + hasError: false, + checkFunc: func(t *testing.T, apiErr openai.APIError) { + assertAPIErrorMessage(t, apiErr, "foo") + }, + }, + { + name: "parse succeeds when the message is array with single item", + response: `{"message":["foo"],"type":"invalid_request_error","param":null,"code":null}`, + hasError: false, + checkFunc: func(t *testing.T, apiErr openai.APIError) { + assertAPIErrorMessage(t, apiErr, "foo") + }, + }, + { + name: "parse succeeds when the message is array with multiple items", + response: `{"message":["foo", "bar", "baz"],"type":"invalid_request_error","param":null,"code":null}`, + hasError: false, + checkFunc: func(t *testing.T, apiErr openai.APIError) { + assertAPIErrorMessage(t, apiErr, "foo, bar, baz") + }, + }, + { + name: "parse succeeds when the message is empty array", + response: `{"message":[],"type":"invalid_request_error","param":null,"code":null}`, + hasError: false, + checkFunc: func(t *testing.T, apiErr openai.APIError) { + assertAPIErrorMessage(t, apiErr, "") + }, + }, + { + name: "parse succeeds when the message is null", + response: `{"message":null,"type":"invalid_request_error","param":null,"code":null}`, + hasError: false, + checkFunc: func(t *testing.T, apiErr openai.APIError) { + assertAPIErrorMessage(t, apiErr, "") + }, + }, + { + name: "parse succeeds when the innerError is not exists (Azure Openai)", + response: `{ + "message": "test message", + "type": null, + "param": "prompt", + "code": "content_filter", + "status": 400, + "innererror": { + "code": "ResponsibleAIPolicyViolation", + "content_filter_result": { + "hate": { + "filtered": false, + "severity": "safe" + }, + "self_harm": { + "filtered": false, + "severity": "safe" + }, + "sexual": { + "filtered": true, + "severity": "medium" + }, + "violence": { + "filtered": false, + "severity": "safe" + } + } + } + }`, + hasError: false, + checkFunc: func(t *testing.T, apiErr openai.APIError) { + assertAPIErrorInnerError(t, apiErr, &openai.InnerError{ + Code: "ResponsibleAIPolicyViolation", + ContentFilterResults: openai.ContentFilterResults{ + Hate: openai.Hate{ + Filtered: false, + Severity: "safe", + }, + SelfHarm: openai.SelfHarm{ + Filtered: false, + Severity: "safe", + }, + Sexual: openai.Sexual{ + Filtered: true, + Severity: "medium", + }, + Violence: openai.Violence{ + Filtered: false, + Severity: "safe", + }, + }, + }) + }, + }, + { + name: "parse succeeds when the innerError is empty (Azure Openai)", + response: `{"message": "","type": null,"param": "","code": "","status": 0,"innererror": {}}`, + hasError: false, + checkFunc: func(t *testing.T, apiErr openai.APIError) { + assertAPIErrorInnerError(t, apiErr, &openai.InnerError{}) + }, + }, + { + name: "parse succeeds when the innerError is not InnerError struct (Azure Openai)", + response: `{"message": "","type": null,"param": "","code": "","status": 0,"innererror": "test"}`, + hasError: true, + checkFunc: func(t *testing.T, apiErr openai.APIError) { + assertAPIErrorInnerError(t, apiErr, &openai.InnerError{}) + }, + }, + { + name: "parse failed when the message is object", + response: `{"message":{},"type":"invalid_request_error","param":null,"code":null}`, + hasError: true, + }, + { + name: "parse failed when the message is int", + response: `{"message":1,"type":"invalid_request_error","param":null,"code":null}`, + hasError: true, + }, + { + name: "parse failed when the message is float", + response: `{"message":0.1,"type":"invalid_request_error","param":null,"code":null}`, + hasError: true, + }, + { + name: "parse failed when the message is bool", + response: `{"message":true,"type":"invalid_request_error","param":null,"code":null}`, + hasError: true, + }, + { + name: "parse failed when the message is not exists", + response: `{"type":"invalid_request_error","param":null,"code":null}`, + hasError: true, + }, + // testcase for code field + { + name: "parse succeeds when the code is int", + response: `{"code":418,"message":"I'm a teapot","param":"prompt","type":"teapot_error"}`, + hasError: false, + checkFunc: func(t *testing.T, apiErr openai.APIError) { + assertAPIErrorCode(t, apiErr, 418) + }, + }, + { + name: "parse succeeds when the code is string", + response: `{"code":"teapot","message":"I'm a teapot","param":"prompt","type":"teapot_error"}`, + hasError: false, + checkFunc: func(t *testing.T, apiErr openai.APIError) { + assertAPIErrorCode(t, apiErr, "teapot") + }, + }, + { + name: "parse succeeds when the code is not exists", + response: `{"message":"I'm a teapot","param":"prompt","type":"teapot_error"}`, + hasError: false, + checkFunc: func(t *testing.T, apiErr openai.APIError) { + assertAPIErrorCode(t, apiErr, nil) + }, + }, + // testcase for param field + { + name: "parse failed when the param is bool", + response: `{"code":418,"message":"I'm a teapot","param":true,"type":"teapot_error"}`, + hasError: true, + }, + // testcase for type field + { + name: "parse failed when the type is bool", + response: `{"code":418,"message":"I'm a teapot","param":"prompt","type":true}`, + hasError: true, + }, + // testcase for error response + { + name: "parse failed when the response is invalid json", + response: `--- {"code":418,"message":"I'm a teapot","param":"prompt","type":"teapot_error"}`, + hasError: true, + checkFunc: func(t *testing.T, apiErr openai.APIError) { + assertAPIErrorCode(t, apiErr, nil) + assertAPIErrorMessage(t, apiErr, "") + assertAPIErrorParam(t, apiErr, nil) + assertAPIErrorType(t, apiErr, "") + }, + }, + } + for _, tc := range testCases { + t.Run(tc.name, func(t *testing.T) { + var apiErr openai.APIError + err := apiErr.UnmarshalJSON([]byte(tc.response)) + if (err != nil) != tc.hasError { + t.Errorf("Unexpected error: %v", err) + } + if tc.checkFunc != nil { + tc.checkFunc(t, apiErr) + } + }) + } +} + +func assertAPIErrorMessage(t *testing.T, apiErr openai.APIError, expected string) { + if apiErr.Message != expected { + t.Errorf("Unexpected APIError message: %v; expected: %s", apiErr, expected) + } +} + +func assertAPIErrorInnerError(t *testing.T, apiErr openai.APIError, expected interface{}) { + if !reflect.DeepEqual(apiErr.InnerError, expected) { + t.Errorf("Unexpected APIError InnerError: %v; expected: %v; ", apiErr, expected) + } +} + +func assertAPIErrorCode(t *testing.T, apiErr openai.APIError, expected interface{}) { + switch v := apiErr.Code.(type) { + case int: + if v != expected { + t.Errorf("Unexpected APIError code integer: %d; expected %d", v, expected) + } + case string: + if v != expected { + t.Errorf("Unexpected APIError code string: %s; expected %s", v, expected) + } + case nil: + default: + t.Errorf("Unexpected APIError error code type: %T", v) + } +} + +func assertAPIErrorParam(t *testing.T, apiErr openai.APIError, expected *string) { + if apiErr.Param != expected { + t.Errorf("Unexpected APIError param: %v; expected: %s", apiErr, *expected) + } +} + +func assertAPIErrorType(t *testing.T, apiErr openai.APIError, typ string) { + if apiErr.Type != typ { + t.Errorf("Unexpected API type: %v; expected: %s", apiErr, typ) + } +} + +func TestRequestError(t *testing.T) { + var err error = &openai.RequestError{ + HTTPStatusCode: http.StatusTeapot, + Err: errors.New("i am a teapot"), + } + + var reqErr *openai.RequestError + if !errors.As(err, &reqErr) { + t.Fatalf("Error is not a RequestError: %+v", err) + } + + if reqErr.HTTPStatusCode != 418 { + t.Fatalf("Unexpected request error status code: %d", reqErr.HTTPStatusCode) + } + + if reqErr.Unwrap() == nil { + t.Fatalf("Empty request error occurred") + } +} diff --git a/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/example_test.go b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/example_test.go new file mode 100644 index 0000000..5910ffb --- /dev/null +++ b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/example_test.go @@ -0,0 +1,347 @@ +package openai_test + +import ( + "bufio" + "context" + "encoding/base64" + "errors" + "fmt" + "io" + "net/http" + "net/url" + "os" + + "github.com/sashabaranov/go-openai" +) + +func Example() { + client := openai.NewClient(os.Getenv("OPENAI_API_KEY")) + resp, err := client.CreateChatCompletion( + context.Background(), + openai.ChatCompletionRequest{ + Model: openai.GPT3Dot5Turbo, + Messages: []openai.ChatCompletionMessage{ + { + Role: openai.ChatMessageRoleUser, + Content: "Hello!", + }, + }, + }, + ) + if err != nil { + fmt.Printf("ChatCompletion error: %v\n", err) + return + } + + fmt.Println(resp.Choices[0].Message.Content) +} + +func ExampleClient_CreateChatCompletionStream() { + client := openai.NewClient(os.Getenv("OPENAI_API_KEY")) + + stream, err := client.CreateChatCompletionStream( + context.Background(), + openai.ChatCompletionRequest{ + Model: openai.GPT3Dot5Turbo, + MaxTokens: 20, + Messages: []openai.ChatCompletionMessage{ + { + Role: openai.ChatMessageRoleUser, + Content: "Lorem ipsum", + }, + }, + Stream: true, + }, + ) + if err != nil { + fmt.Printf("ChatCompletionStream error: %v\n", err) + return + } + defer stream.Close() + + fmt.Print("Stream response: ") + for { + var response openai.ChatCompletionStreamResponse + response, err = stream.Recv() + if errors.Is(err, io.EOF) { + fmt.Println("\nStream finished") + return + } + + if err != nil { + fmt.Printf("\nStream error: %v\n", err) + return + } + + fmt.Println(response.Choices[0].Delta.Content) + } +} + +func ExampleClient_CreateCompletion() { + client := openai.NewClient(os.Getenv("OPENAI_API_KEY")) + resp, err := client.CreateCompletion( + context.Background(), + openai.CompletionRequest{ + Model: openai.GPT3Babbage002, + MaxTokens: 5, + Prompt: "Lorem ipsum", + }, + ) + if err != nil { + fmt.Printf("Completion error: %v\n", err) + return + } + fmt.Println(resp.Choices[0].Text) +} + +func ExampleClient_CreateCompletionStream() { + client := openai.NewClient(os.Getenv("OPENAI_API_KEY")) + stream, err := client.CreateCompletionStream( + context.Background(), + openai.CompletionRequest{ + Model: openai.GPT3Babbage002, + MaxTokens: 5, + Prompt: "Lorem ipsum", + Stream: true, + }, + ) + if err != nil { + fmt.Printf("CompletionStream error: %v\n", err) + return + } + defer stream.Close() + + for { + var response openai.CompletionResponse + response, err = stream.Recv() + if errors.Is(err, io.EOF) { + fmt.Println("Stream finished") + return + } + + if err != nil { + fmt.Printf("Stream error: %v\n", err) + return + } + + fmt.Printf("Stream response: %#v\n", response) + } +} + +func ExampleClient_CreateTranscription() { + client := openai.NewClient(os.Getenv("OPENAI_API_KEY")) + resp, err := client.CreateTranscription( + context.Background(), + openai.AudioRequest{ + Model: openai.Whisper1, + FilePath: "recording.mp3", + }, + ) + if err != nil { + fmt.Printf("Transcription error: %v\n", err) + return + } + fmt.Println(resp.Text) +} + +func ExampleClient_CreateTranscription_captions() { + client := openai.NewClient(os.Getenv("OPENAI_API_KEY")) + + resp, err := client.CreateTranscription( + context.Background(), + openai.AudioRequest{ + Model: openai.Whisper1, + FilePath: os.Args[1], + Format: openai.AudioResponseFormatSRT, + }, + ) + if err != nil { + fmt.Printf("Transcription error: %v\n", err) + return + } + f, err := os.Create(os.Args[1] + ".srt") + if err != nil { + fmt.Printf("Could not open file: %v\n", err) + return + } + defer f.Close() + if _, err = f.WriteString(resp.Text); err != nil { + fmt.Printf("Error writing to file: %v\n", err) + return + } +} + +func ExampleClient_CreateTranslation() { + client := openai.NewClient(os.Getenv("OPENAI_API_KEY")) + resp, err := client.CreateTranslation( + context.Background(), + openai.AudioRequest{ + Model: openai.Whisper1, + FilePath: "recording.mp3", + }, + ) + if err != nil { + fmt.Printf("Translation error: %v\n", err) + return + } + fmt.Println(resp.Text) +} + +func ExampleClient_CreateImage() { + client := openai.NewClient(os.Getenv("OPENAI_API_KEY")) + + respURL, err := client.CreateImage( + context.Background(), + openai.ImageRequest{ + Prompt: "Parrot on a skateboard performs a trick, cartoon style, natural light, high detail", + Size: openai.CreateImageSize256x256, + ResponseFormat: openai.CreateImageResponseFormatURL, + N: 1, + }, + ) + if err != nil { + fmt.Printf("Image creation error: %v\n", err) + return + } + fmt.Println(respURL.Data[0].URL) +} + +func ExampleClient_CreateImage_base64() { + client := openai.NewClient(os.Getenv("OPENAI_API_KEY")) + + resp, err := client.CreateImage( + context.Background(), + openai.ImageRequest{ + Prompt: "Portrait of a humanoid parrot in a classic costume, high detail, realistic light, unreal engine", + Size: openai.CreateImageSize512x512, + ResponseFormat: openai.CreateImageResponseFormatB64JSON, + N: 1, + }, + ) + if err != nil { + fmt.Printf("Image creation error: %v\n", err) + return + } + + b, err := base64.StdEncoding.DecodeString(resp.Data[0].B64JSON) + if err != nil { + fmt.Printf("Base64 decode error: %v\n", err) + return + } + + f, err := os.Create("example.png") + if err != nil { + fmt.Printf("File creation error: %v\n", err) + return + } + defer f.Close() + + _, err = f.Write(b) + if err != nil { + fmt.Printf("File write error: %v\n", err) + return + } + + fmt.Println("The image was saved as example.png") +} + +func ExampleClientConfig_clientWithProxy() { + config := openai.DefaultConfig(os.Getenv("OPENAI_API_KEY")) + port := os.Getenv("OPENAI_PROXY_PORT") + proxyURL, err := url.Parse(fmt.Sprintf("http://localhost:%s", port)) + if err != nil { + panic(err) + } + transport := &http.Transport{ + Proxy: http.ProxyURL(proxyURL), + } + config.HTTPClient = &http.Client{ + Transport: transport, + } + + client := openai.NewClientWithConfig(config) + + client.CreateChatCompletion( //nolint:errcheck // outside of the scope of this example. + context.Background(), + openai.ChatCompletionRequest{ + // etc... + }, + ) +} + +func Example_chatbot() { + client := openai.NewClient(os.Getenv("OPENAI_API_KEY")) + + req := openai.ChatCompletionRequest{ + Model: openai.GPT3Dot5Turbo, + Messages: []openai.ChatCompletionMessage{ + { + Role: openai.ChatMessageRoleSystem, + Content: "you are a helpful chatbot", + }, + }, + } + fmt.Println("Conversation") + fmt.Println("---------------------") + fmt.Print("> ") + s := bufio.NewScanner(os.Stdin) + for s.Scan() { + req.Messages = append(req.Messages, openai.ChatCompletionMessage{ + Role: openai.ChatMessageRoleUser, + Content: s.Text(), + }) + resp, err := client.CreateChatCompletion(context.Background(), req) + if err != nil { + fmt.Printf("ChatCompletion error: %v\n", err) + continue + } + fmt.Printf("%s\n\n", resp.Choices[0].Message.Content) + req.Messages = append(req.Messages, resp.Choices[0].Message) + fmt.Print("> ") + } +} + +func ExampleDefaultAzureConfig() { + azureKey := os.Getenv("AZURE_OPENAI_API_KEY") // Your azure API key + azureEndpoint := os.Getenv("AZURE_OPENAI_ENDPOINT") // Your azure OpenAI endpoint + config := openai.DefaultAzureConfig(azureKey, azureEndpoint) + client := openai.NewClientWithConfig(config) + resp, err := client.CreateChatCompletion( + context.Background(), + openai.ChatCompletionRequest{ + Model: openai.GPT3Dot5Turbo, + Messages: []openai.ChatCompletionMessage{ + { + Role: openai.ChatMessageRoleUser, + Content: "Hello Azure OpenAI!", + }, + }, + }, + ) + if err != nil { + fmt.Printf("ChatCompletion error: %v\n", err) + return + } + + fmt.Println(resp.Choices[0].Message.Content) +} + +// Open-AI maintains clear documentation on how to handle API errors. +// +// see: https://platform.openai.com/docs/guides/error-codes/api-errors +func ExampleAPIError() { + var err error // Assume this is the error you are checking. + e := &openai.APIError{} + if errors.As(err, &e) { + switch e.HTTPStatusCode { + case 401: + // invalid auth or key (do not retry) + case 429: + // rate limiting or engine overload (wait and retry) + case 500: + // openai server error (retry) + default: + // unhandled + } + } +} diff --git a/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/examples/README.md b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/examples/README.md new file mode 100644 index 0000000..9c90fe7 --- /dev/null +++ b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/examples/README.md @@ -0,0 +1,6 @@ +To run an example: + +``` +export OPENAI_API_KEY="" +go run ./example/ +``` diff --git a/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/examples/chatbot/main.go b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/examples/chatbot/main.go new file mode 100644 index 0000000..ad41e95 --- /dev/null +++ b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/examples/chatbot/main.go @@ -0,0 +1,42 @@ +package main + +import ( + "bufio" + "context" + "fmt" + "os" + + "github.com/sashabaranov/go-openai" +) + +func main() { + client := openai.NewClient(os.Getenv("OPENAI_API_KEY")) + + req := openai.ChatCompletionRequest{ + Model: openai.GPT3Dot5Turbo, + Messages: []openai.ChatCompletionMessage{ + { + Role: openai.ChatMessageRoleSystem, + Content: "you are a helpful chatbot", + }, + }, + } + fmt.Println("Conversation") + fmt.Println("---------------------") + fmt.Print("> ") + s := bufio.NewScanner(os.Stdin) + for s.Scan() { + req.Messages = append(req.Messages, openai.ChatCompletionMessage{ + Role: openai.ChatMessageRoleUser, + Content: s.Text(), + }) + resp, err := client.CreateChatCompletion(context.Background(), req) + if err != nil { + fmt.Printf("ChatCompletion error: %v\n", err) + continue + } + fmt.Printf("%s\n\n", resp.Choices[0].Message.Content) + req.Messages = append(req.Messages, resp.Choices[0].Message) + fmt.Print("> ") + } +} diff --git a/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/examples/completion-with-tool/main.go b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/examples/completion-with-tool/main.go new file mode 100644 index 0000000..26126e4 --- /dev/null +++ b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/examples/completion-with-tool/main.go @@ -0,0 +1,94 @@ +package main + +import ( + "context" + "fmt" + "os" + + "github.com/sashabaranov/go-openai" + "github.com/sashabaranov/go-openai/jsonschema" +) + +func main() { + ctx := context.Background() + client := openai.NewClient(os.Getenv("OPENAI_API_KEY")) + + // describe the function & its inputs + params := jsonschema.Definition{ + Type: jsonschema.Object, + Properties: map[string]jsonschema.Definition{ + "location": { + Type: jsonschema.String, + Description: "The city and state, e.g. San Francisco, CA", + }, + "unit": { + Type: jsonschema.String, + Enum: []string{"celsius", "fahrenheit"}, + }, + }, + Required: []string{"location"}, + } + f := openai.FunctionDefinition{ + Name: "get_current_weather", + Description: "Get the current weather in a given location", + Parameters: params, + } + t := openai.Tool{ + Type: openai.ToolTypeFunction, + Function: &f, + } + + // simulate user asking a question that requires the function + dialogue := []openai.ChatCompletionMessage{ + {Role: openai.ChatMessageRoleUser, Content: "What is the weather in Boston today?"}, + } + fmt.Printf("Asking OpenAI '%v' and providing it a '%v()' function...\n", + dialogue[0].Content, f.Name) + resp, err := client.CreateChatCompletion(ctx, + openai.ChatCompletionRequest{ + Model: openai.GPT4TurboPreview, + Messages: dialogue, + Tools: []openai.Tool{t}, + }, + ) + if err != nil || len(resp.Choices) != 1 { + fmt.Printf("Completion error: err:%v len(choices):%v\n", err, + len(resp.Choices)) + return + } + msg := resp.Choices[0].Message + if len(msg.ToolCalls) != 1 { + fmt.Printf("Completion error: len(toolcalls): %v\n", len(msg.ToolCalls)) + return + } + + // simulate calling the function & responding to OpenAI + dialogue = append(dialogue, msg) + fmt.Printf("OpenAI called us back wanting to invoke our function '%v' with params '%v'\n", + msg.ToolCalls[0].Function.Name, msg.ToolCalls[0].Function.Arguments) + dialogue = append(dialogue, openai.ChatCompletionMessage{ + Role: openai.ChatMessageRoleTool, + Content: "Sunny and 80 degrees.", + Name: msg.ToolCalls[0].Function.Name, + ToolCallID: msg.ToolCalls[0].ID, + }) + fmt.Printf("Sending OpenAI our '%v()' function's response and requesting the reply to the original question...\n", + f.Name) + resp, err = client.CreateChatCompletion(ctx, + openai.ChatCompletionRequest{ + Model: openai.GPT4TurboPreview, + Messages: dialogue, + Tools: []openai.Tool{t}, + }, + ) + if err != nil || len(resp.Choices) != 1 { + fmt.Printf("2nd completion error: err:%v len(choices):%v\n", err, + len(resp.Choices)) + return + } + + // display OpenAI's response to the original question utilizing our function + msg = resp.Choices[0].Message + fmt.Printf("OpenAI answered the original request with: %v\n", + msg.Content) +} diff --git a/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/examples/completion/main.go b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/examples/completion/main.go new file mode 100644 index 0000000..8c5cbd5 --- /dev/null +++ b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/examples/completion/main.go @@ -0,0 +1,26 @@ +package main + +import ( + "context" + "fmt" + "os" + + "github.com/sashabaranov/go-openai" +) + +func main() { + client := openai.NewClient(os.Getenv("OPENAI_API_KEY")) + resp, err := client.CreateCompletion( + context.Background(), + openai.CompletionRequest{ + Model: openai.GPT3Babbage002, + MaxTokens: 5, + Prompt: "Lorem ipsum", + }, + ) + if err != nil { + fmt.Printf("Completion error: %v\n", err) + return + } + fmt.Println(resp.Choices[0].Text) +} diff --git a/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/examples/images/main.go b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/examples/images/main.go new file mode 100644 index 0000000..5ee649d --- /dev/null +++ b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/examples/images/main.go @@ -0,0 +1,28 @@ +package main + +import ( + "context" + "fmt" + "os" + + "github.com/sashabaranov/go-openai" +) + +func main() { + client := openai.NewClient(os.Getenv("OPENAI_API_KEY")) + + respUrl, err := client.CreateImage( + context.Background(), + openai.ImageRequest{ + Prompt: "Parrot on a skateboard performs a trick, cartoon style, natural light, high detail", + Size: openai.CreateImageSize256x256, + ResponseFormat: openai.CreateImageResponseFormatURL, + N: 1, + }, + ) + if err != nil { + fmt.Printf("Image creation error: %v\n", err) + return + } + fmt.Println(respUrl.Data[0].URL) +} diff --git a/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/examples/voice-to-text/main.go b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/examples/voice-to-text/main.go new file mode 100644 index 0000000..713e748 --- /dev/null +++ b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/examples/voice-to-text/main.go @@ -0,0 +1,35 @@ +package main + +import ( + "context" + "errors" + "fmt" + "os" + + "github.com/sashabaranov/go-openai" +) + +func main() { + if len(os.Args) < 2 { + fmt.Println("please provide a filename to convert to text") + return + } + if _, err := os.Stat(os.Args[1]); errors.Is(err, os.ErrNotExist) { + fmt.Printf("file %s does not exist\n", os.Args[1]) + return + } + + client := openai.NewClient(os.Getenv("OPENAI_API_KEY")) + resp, err := client.CreateTranscription( + context.Background(), + openai.AudioRequest{ + Model: openai.Whisper1, + FilePath: os.Args[1], + }, + ) + if err != nil { + fmt.Printf("Transcription error: %v\n", err) + return + } + fmt.Println(resp.Text) +} diff --git a/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/files.go b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/files.go new file mode 100644 index 0000000..edc9f2a --- /dev/null +++ b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/files.go @@ -0,0 +1,171 @@ +package openai + +import ( + "bytes" + "context" + "fmt" + "net/http" + "os" +) + +type FileRequest struct { + FileName string `json:"file"` + FilePath string `json:"-"` + Purpose string `json:"purpose"` +} + +// PurposeType represents the purpose of the file when uploading. +type PurposeType string + +const ( + PurposeFineTune PurposeType = "fine-tune" + PurposeFineTuneResults PurposeType = "fine-tune-results" + PurposeAssistants PurposeType = "assistants" + PurposeAssistantsOutput PurposeType = "assistants_output" + PurposeBatch PurposeType = "batch" +) + +// FileBytesRequest represents a file upload request. +type FileBytesRequest struct { + // the name of the uploaded file in OpenAI + Name string + // the bytes of the file + Bytes []byte + // the purpose of the file + Purpose PurposeType +} + +// File struct represents an OpenAPI file. +type File struct { + Bytes int `json:"bytes"` + CreatedAt int64 `json:"created_at"` + ID string `json:"id"` + FileName string `json:"filename"` + Object string `json:"object"` + Status string `json:"status"` + Purpose string `json:"purpose"` + StatusDetails string `json:"status_details"` + + httpHeader +} + +// FilesList is a list of files that belong to the user or organization. +type FilesList struct { + Files []File `json:"data"` + + httpHeader +} + +// CreateFileBytes uploads bytes directly to OpenAI without requiring a local file. +func (c *Client) CreateFileBytes(ctx context.Context, request FileBytesRequest) (file File, err error) { + var b bytes.Buffer + reader := bytes.NewReader(request.Bytes) + builder := c.createFormBuilder(&b) + + err = builder.WriteField("purpose", string(request.Purpose)) + if err != nil { + return + } + + err = builder.CreateFormFileReader("file", reader, request.Name) + if err != nil { + return + } + + err = builder.Close() + if err != nil { + return + } + + req, err := c.newRequest(ctx, http.MethodPost, c.fullURL("/files"), + withBody(&b), withContentType(builder.FormDataContentType())) + if err != nil { + return + } + + err = c.sendRequest(req, &file) + return +} + +// CreateFile uploads a jsonl file to GPT3 +// FilePath must be a local file path. +func (c *Client) CreateFile(ctx context.Context, request FileRequest) (file File, err error) { + var b bytes.Buffer + builder := c.createFormBuilder(&b) + + err = builder.WriteField("purpose", request.Purpose) + if err != nil { + return + } + + fileData, err := os.Open(request.FilePath) + if err != nil { + return + } + defer fileData.Close() + + err = builder.CreateFormFile("file", fileData) + if err != nil { + return + } + + err = builder.Close() + if err != nil { + return + } + + req, err := c.newRequest(ctx, http.MethodPost, c.fullURL("/files"), + withBody(&b), withContentType(builder.FormDataContentType())) + if err != nil { + return + } + + err = c.sendRequest(req, &file) + return +} + +// DeleteFile deletes an existing file. +func (c *Client) DeleteFile(ctx context.Context, fileID string) (err error) { + req, err := c.newRequest(ctx, http.MethodDelete, c.fullURL("/files/"+fileID)) + if err != nil { + return + } + + err = c.sendRequest(req, nil) + return +} + +// ListFiles Lists the currently available files, +// and provides basic information about each file such as the file name and purpose. +func (c *Client) ListFiles(ctx context.Context) (files FilesList, err error) { + req, err := c.newRequest(ctx, http.MethodGet, c.fullURL("/files")) + if err != nil { + return + } + + err = c.sendRequest(req, &files) + return +} + +// GetFile Retrieves a file instance, providing basic information about the file +// such as the file name and purpose. +func (c *Client) GetFile(ctx context.Context, fileID string) (file File, err error) { + urlSuffix := fmt.Sprintf("/files/%s", fileID) + req, err := c.newRequest(ctx, http.MethodGet, c.fullURL(urlSuffix)) + if err != nil { + return + } + + err = c.sendRequest(req, &file) + return +} + +func (c *Client) GetFileContent(ctx context.Context, fileID string) (content RawResponse, err error) { + urlSuffix := fmt.Sprintf("/files/%s/content", fileID) + req, err := c.newRequest(ctx, http.MethodGet, c.fullURL(urlSuffix)) + if err != nil { + return + } + + return c.sendRequestRaw(req) +} diff --git a/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/files_api_test.go b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/files_api_test.go new file mode 100644 index 0000000..aa4fda4 --- /dev/null +++ b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/files_api_test.go @@ -0,0 +1,196 @@ +package openai_test + +import ( + "context" + "encoding/json" + "errors" + "fmt" + "io" + "net/http" + "os" + "strconv" + "testing" + "time" + + "github.com/sashabaranov/go-openai" + "github.com/sashabaranov/go-openai/internal/test/checks" +) + +func TestFileBytesUpload(t *testing.T) { + client, server, teardown := setupOpenAITestServer() + defer teardown() + server.RegisterHandler("/v1/files", handleCreateFile) + req := openai.FileBytesRequest{ + Name: "foo", + Bytes: []byte("foo"), + Purpose: openai.PurposeFineTune, + } + _, err := client.CreateFileBytes(context.Background(), req) + checks.NoError(t, err, "CreateFile error") +} + +func TestFileUpload(t *testing.T) { + client, server, teardown := setupOpenAITestServer() + defer teardown() + server.RegisterHandler("/v1/files", handleCreateFile) + req := openai.FileRequest{ + FileName: "test.go", + FilePath: "client.go", + Purpose: "fine-tune", + } + _, err := client.CreateFile(context.Background(), req) + checks.NoError(t, err, "CreateFile error") +} + +// handleCreateFile Handles the images endpoint by the test server. +func handleCreateFile(w http.ResponseWriter, r *http.Request) { + var err error + var resBytes []byte + + // edits only accepts POST requests + if r.Method != "POST" { + http.Error(w, "Method not allowed", http.StatusMethodNotAllowed) + } + err = r.ParseMultipartForm(1024 * 1024 * 1024) + if err != nil { + http.Error(w, "file is more than 1GB", http.StatusInternalServerError) + return + } + + values := r.Form + var purpose string + for key, value := range values { + if key == "purpose" { + purpose = value[0] + } + } + file, header, err := r.FormFile("file") + if err != nil { + return + } + defer file.Close() + + fileReq := openai.File{ + Bytes: int(header.Size), + ID: strconv.Itoa(int(time.Now().Unix())), + FileName: header.Filename, + Purpose: purpose, + CreatedAt: time.Now().Unix(), + Object: "test-objecct", + } + + resBytes, _ = json.Marshal(fileReq) + fmt.Fprint(w, string(resBytes)) +} + +func TestDeleteFile(t *testing.T) { + client, server, teardown := setupOpenAITestServer() + defer teardown() + server.RegisterHandler("/v1/files/deadbeef", func(http.ResponseWriter, *http.Request) {}) + err := client.DeleteFile(context.Background(), "deadbeef") + checks.NoError(t, err, "DeleteFile error") +} + +func TestListFile(t *testing.T) { + client, server, teardown := setupOpenAITestServer() + defer teardown() + server.RegisterHandler("/v1/files", func(w http.ResponseWriter, _ *http.Request) { + resBytes, _ := json.Marshal(openai.FilesList{}) + fmt.Fprintln(w, string(resBytes)) + }) + _, err := client.ListFiles(context.Background()) + checks.NoError(t, err, "ListFiles error") +} + +func TestGetFile(t *testing.T) { + client, server, teardown := setupOpenAITestServer() + defer teardown() + server.RegisterHandler("/v1/files/deadbeef", func(w http.ResponseWriter, _ *http.Request) { + resBytes, _ := json.Marshal(openai.File{}) + fmt.Fprintln(w, string(resBytes)) + }) + _, err := client.GetFile(context.Background(), "deadbeef") + checks.NoError(t, err, "GetFile error") +} + +func TestGetFileContent(t *testing.T) { + wantRespJsonl := `{"prompt": "foo", "completion": "foo"} +{"prompt": "bar", "completion": "bar"} +{"prompt": "baz", "completion": "baz"} +` + client, server, teardown := setupOpenAITestServer() + defer teardown() + server.RegisterHandler("/v1/files/deadbeef/content", func(w http.ResponseWriter, r *http.Request) { + // edits only accepts GET requests + if r.Method != http.MethodGet { + http.Error(w, "Method not allowed", http.StatusMethodNotAllowed) + } + fmt.Fprint(w, wantRespJsonl) + }) + + content, err := client.GetFileContent(context.Background(), "deadbeef") + checks.NoError(t, err, "GetFileContent error") + defer content.Close() + + actual, _ := io.ReadAll(content) + if string(actual) != wantRespJsonl { + t.Errorf("Expected %s, got %s", wantRespJsonl, string(actual)) + } +} + +func TestGetFileContentReturnError(t *testing.T) { + wantMessage := "To help mitigate abuse, downloading of fine-tune training files is disabled for free accounts." + wantType := "invalid_request_error" + wantErrorResp := `{ + "error": { + "message": "` + wantMessage + `", + "type": "` + wantType + `", + "param": null, + "code": null + } +}` + client, server, teardown := setupOpenAITestServer() + defer teardown() + server.RegisterHandler("/v1/files/deadbeef/content", func(w http.ResponseWriter, _ *http.Request) { + w.Header().Set("Content-Type", "application/json") + w.WriteHeader(http.StatusBadRequest) + fmt.Fprint(w, wantErrorResp) + }) + + _, err := client.GetFileContent(context.Background(), "deadbeef") + if err == nil { + t.Fatal("Did not return error") + } + + apiErr := &openai.APIError{} + if !errors.As(err, &apiErr) { + t.Fatalf("Did not return APIError: %+v\n", apiErr) + } + if apiErr.Message != wantMessage { + t.Fatalf("Expected %s Message, got = %s\n", wantMessage, apiErr.Message) + return + } + if apiErr.Type != wantType { + t.Fatalf("Expected %s Type, got = %s\n", wantType, apiErr.Type) + return + } +} + +func TestGetFileContentReturnTimeoutError(t *testing.T) { + client, server, teardown := setupOpenAITestServer() + defer teardown() + server.RegisterHandler("/v1/files/deadbeef/content", func(http.ResponseWriter, *http.Request) { + time.Sleep(10 * time.Nanosecond) + }) + ctx := context.Background() + ctx, cancel := context.WithTimeout(ctx, time.Nanosecond) + defer cancel() + + _, err := client.GetFileContent(ctx, "deadbeef") + if err == nil { + t.Fatal("Did not return error") + } + if !os.IsTimeout(err) { + t.Fatal("Did not return timeout error") + } +} diff --git a/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/files_test.go b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/files_test.go new file mode 100644 index 0000000..3c1b99f --- /dev/null +++ b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/files_test.go @@ -0,0 +1,123 @@ +package openai //nolint:testpackage // testing private field + +import ( + "context" + "fmt" + "io" + "os" + "testing" + + utils "github.com/sashabaranov/go-openai/internal" + "github.com/sashabaranov/go-openai/internal/test/checks" +) + +func TestFileBytesUploadWithFailingFormBuilder(t *testing.T) { + config := DefaultConfig("") + config.BaseURL = "" + client := NewClientWithConfig(config) + mockBuilder := &mockFormBuilder{} + client.createFormBuilder = func(io.Writer) utils.FormBuilder { + return mockBuilder + } + + ctx := context.Background() + req := FileBytesRequest{ + Name: "foo", + Bytes: []byte("foo"), + Purpose: PurposeAssistants, + } + + mockError := fmt.Errorf("mockWriteField error") + mockBuilder.mockWriteField = func(string, string) error { + return mockError + } + _, err := client.CreateFileBytes(ctx, req) + checks.ErrorIs(t, err, mockError, "CreateFile should return error if form builder fails") + + mockError = fmt.Errorf("mockCreateFormFile error") + mockBuilder.mockWriteField = func(string, string) error { + return nil + } + mockBuilder.mockCreateFormFileReader = func(string, io.Reader, string) error { + return mockError + } + _, err = client.CreateFileBytes(ctx, req) + checks.ErrorIs(t, err, mockError, "CreateFile should return error if form builder fails") + + mockError = fmt.Errorf("mockClose error") + mockBuilder.mockWriteField = func(string, string) error { + return nil + } + mockBuilder.mockCreateFormFileReader = func(string, io.Reader, string) error { + return nil + } + mockBuilder.mockClose = func() error { + return mockError + } + _, err = client.CreateFileBytes(ctx, req) + checks.ErrorIs(t, err, mockError, "CreateFile should return error if form builder fails") +} + +func TestFileUploadWithFailingFormBuilder(t *testing.T) { + config := DefaultConfig("") + config.BaseURL = "" + client := NewClientWithConfig(config) + mockBuilder := &mockFormBuilder{} + client.createFormBuilder = func(io.Writer) utils.FormBuilder { + return mockBuilder + } + + ctx := context.Background() + req := FileRequest{ + FileName: "test.go", + FilePath: "client.go", + Purpose: "fine-tune", + } + + mockError := fmt.Errorf("mockWriteField error") + mockBuilder.mockWriteField = func(string, string) error { + return mockError + } + _, err := client.CreateFile(ctx, req) + checks.ErrorIs(t, err, mockError, "CreateFile should return error if form builder fails") + + mockError = fmt.Errorf("mockCreateFormFile error") + mockBuilder.mockWriteField = func(string, string) error { + return nil + } + mockBuilder.mockCreateFormFile = func(string, *os.File) error { + return mockError + } + _, err = client.CreateFile(ctx, req) + checks.ErrorIs(t, err, mockError, "CreateFile should return error if form builder fails") + + mockError = fmt.Errorf("mockClose error") + mockBuilder.mockWriteField = func(string, string) error { + return nil + } + mockBuilder.mockCreateFormFile = func(string, *os.File) error { + return nil + } + mockBuilder.mockClose = func() error { + return mockError + } + _, err = client.CreateFile(ctx, req) + if err == nil { + t.Fatal("CreateFile should return error if form builder fails") + } + checks.ErrorIs(t, err, mockError, "CreateFile should return error if form builder fails") +} + +func TestFileUploadWithNonExistentPath(t *testing.T) { + config := DefaultConfig("") + config.BaseURL = "" + client := NewClientWithConfig(config) + + ctx := context.Background() + req := FileRequest{ + FilePath: "some non existent file path/F616FD18-589E-44A8-BF0C-891EAE69C455", + } + + _, err := client.CreateFile(ctx, req) + checks.ErrorIs(t, err, os.ErrNotExist, "CreateFile should return error if file does not exist") +} diff --git a/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/fine_tunes.go b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/fine_tunes.go new file mode 100644 index 0000000..74b47bf --- /dev/null +++ b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/fine_tunes.go @@ -0,0 +1,178 @@ +package openai + +import ( + "context" + "fmt" + "net/http" +) + +// Deprecated: On August 22nd, 2023, OpenAI announced the deprecation of the /v1/fine-tunes API. +// This API will be officially deprecated on January 4th, 2024. +// OpenAI recommends to migrate to the new fine tuning API implemented in fine_tuning_job.go. +type FineTuneRequest struct { + TrainingFile string `json:"training_file"` + ValidationFile string `json:"validation_file,omitempty"` + Model string `json:"model,omitempty"` + Epochs int `json:"n_epochs,omitempty"` + BatchSize int `json:"batch_size,omitempty"` + LearningRateMultiplier float32 `json:"learning_rate_multiplier,omitempty"` + PromptLossRate float32 `json:"prompt_loss_rate,omitempty"` + ComputeClassificationMetrics bool `json:"compute_classification_metrics,omitempty"` + ClassificationClasses int `json:"classification_n_classes,omitempty"` + ClassificationPositiveClass string `json:"classification_positive_class,omitempty"` + ClassificationBetas []float32 `json:"classification_betas,omitempty"` + Suffix string `json:"suffix,omitempty"` +} + +// Deprecated: On August 22nd, 2023, OpenAI announced the deprecation of the /v1/fine-tunes API. +// This API will be officially deprecated on January 4th, 2024. +// OpenAI recommends to migrate to the new fine tuning API implemented in fine_tuning_job.go. +type FineTune struct { + ID string `json:"id"` + Object string `json:"object"` + Model string `json:"model"` + CreatedAt int64 `json:"created_at"` + FineTuneEventList []FineTuneEvent `json:"events,omitempty"` + FineTunedModel string `json:"fine_tuned_model"` + HyperParams FineTuneHyperParams `json:"hyperparams"` + OrganizationID string `json:"organization_id"` + ResultFiles []File `json:"result_files"` + Status string `json:"status"` + ValidationFiles []File `json:"validation_files"` + TrainingFiles []File `json:"training_files"` + UpdatedAt int64 `json:"updated_at"` + + httpHeader +} + +// Deprecated: On August 22nd, 2023, OpenAI announced the deprecation of the /v1/fine-tunes API. +// This API will be officially deprecated on January 4th, 2024. +// OpenAI recommends to migrate to the new fine tuning API implemented in fine_tuning_job.go. +type FineTuneEvent struct { + Object string `json:"object"` + CreatedAt int64 `json:"created_at"` + Level string `json:"level"` + Message string `json:"message"` +} + +// Deprecated: On August 22nd, 2023, OpenAI announced the deprecation of the /v1/fine-tunes API. +// This API will be officially deprecated on January 4th, 2024. +// OpenAI recommends to migrate to the new fine tuning API implemented in fine_tuning_job.go. +type FineTuneHyperParams struct { + BatchSize int `json:"batch_size"` + LearningRateMultiplier float64 `json:"learning_rate_multiplier"` + Epochs int `json:"n_epochs"` + PromptLossWeight float64 `json:"prompt_loss_weight"` +} + +// Deprecated: On August 22nd, 2023, OpenAI announced the deprecation of the /v1/fine-tunes API. +// This API will be officially deprecated on January 4th, 2024. +// OpenAI recommends to migrate to the new fine tuning API implemented in fine_tuning_job.go. +type FineTuneList struct { + Object string `json:"object"` + Data []FineTune `json:"data"` + + httpHeader +} + +// Deprecated: On August 22nd, 2023, OpenAI announced the deprecation of the /v1/fine-tunes API. +// This API will be officially deprecated on January 4th, 2024. +// OpenAI recommends to migrate to the new fine tuning API implemented in fine_tuning_job.go. +type FineTuneEventList struct { + Object string `json:"object"` + Data []FineTuneEvent `json:"data"` + + httpHeader +} + +// Deprecated: On August 22nd, 2023, OpenAI announced the deprecation of the /v1/fine-tunes API. +// This API will be officially deprecated on January 4th, 2024. +// OpenAI recommends to migrate to the new fine tuning API implemented in fine_tuning_job.go. +type FineTuneDeleteResponse struct { + ID string `json:"id"` + Object string `json:"object"` + Deleted bool `json:"deleted"` + + httpHeader +} + +// Deprecated: On August 22nd, 2023, OpenAI announced the deprecation of the /v1/fine-tunes API. +// This API will be officially deprecated on January 4th, 2024. +// OpenAI recommends to migrate to the new fine tuning API implemented in fine_tuning_job.go. +func (c *Client) CreateFineTune(ctx context.Context, request FineTuneRequest) (response FineTune, err error) { + urlSuffix := "/fine-tunes" + req, err := c.newRequest(ctx, http.MethodPost, c.fullURL(urlSuffix), withBody(request)) + if err != nil { + return + } + + err = c.sendRequest(req, &response) + return +} + +// CancelFineTune cancel a fine-tune job. +// Deprecated: On August 22nd, 2023, OpenAI announced the deprecation of the /v1/fine-tunes API. +// This API will be officially deprecated on January 4th, 2024. +// OpenAI recommends to migrate to the new fine tuning API implemented in fine_tuning_job.go. +func (c *Client) CancelFineTune(ctx context.Context, fineTuneID string) (response FineTune, err error) { + req, err := c.newRequest(ctx, http.MethodPost, c.fullURL("/fine-tunes/"+fineTuneID+"/cancel")) //nolint:lll //this method is deprecated + if err != nil { + return + } + + err = c.sendRequest(req, &response) + return +} + +// Deprecated: On August 22nd, 2023, OpenAI announced the deprecation of the /v1/fine-tunes API. +// This API will be officially deprecated on January 4th, 2024. +// OpenAI recommends to migrate to the new fine tuning API implemented in fine_tuning_job.go. +func (c *Client) ListFineTunes(ctx context.Context) (response FineTuneList, err error) { + req, err := c.newRequest(ctx, http.MethodGet, c.fullURL("/fine-tunes")) + if err != nil { + return + } + + err = c.sendRequest(req, &response) + return +} + +// Deprecated: On August 22nd, 2023, OpenAI announced the deprecation of the /v1/fine-tunes API. +// This API will be officially deprecated on January 4th, 2024. +// OpenAI recommends to migrate to the new fine tuning API implemented in fine_tuning_job.go. +func (c *Client) GetFineTune(ctx context.Context, fineTuneID string) (response FineTune, err error) { + urlSuffix := fmt.Sprintf("/fine-tunes/%s", fineTuneID) + req, err := c.newRequest(ctx, http.MethodGet, c.fullURL(urlSuffix)) + if err != nil { + return + } + + err = c.sendRequest(req, &response) + return +} + +// Deprecated: On August 22nd, 2023, OpenAI announced the deprecation of the /v1/fine-tunes API. +// This API will be officially deprecated on January 4th, 2024. +// OpenAI recommends to migrate to the new fine tuning API implemented in fine_tuning_job.go. +func (c *Client) DeleteFineTune(ctx context.Context, fineTuneID string) (response FineTuneDeleteResponse, err error) { + req, err := c.newRequest(ctx, http.MethodDelete, c.fullURL("/fine-tunes/"+fineTuneID)) + if err != nil { + return + } + + err = c.sendRequest(req, &response) + return +} + +// Deprecated: On August 22nd, 2023, OpenAI announced the deprecation of the /v1/fine-tunes API. +// This API will be officially deprecated on January 4th, 2024. +// OpenAI recommends to migrate to the new fine tuning API implemented in fine_tuning_job.go. +func (c *Client) ListFineTuneEvents(ctx context.Context, fineTuneID string) (response FineTuneEventList, err error) { + req, err := c.newRequest(ctx, http.MethodGet, c.fullURL("/fine-tunes/"+fineTuneID+"/events")) + if err != nil { + return + } + + err = c.sendRequest(req, &response) + return +} diff --git a/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/fine_tunes_test.go b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/fine_tunes_test.go new file mode 100644 index 0000000..2ab6817 --- /dev/null +++ b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/fine_tunes_test.go @@ -0,0 +1,81 @@ +package openai_test + +import ( + "context" + "encoding/json" + "fmt" + "net/http" + "testing" + + "github.com/sashabaranov/go-openai" + "github.com/sashabaranov/go-openai/internal/test/checks" +) + +const testFineTuneID = "fine-tune-id" + +// TestFineTunes Tests the fine tunes endpoint of the API using the mocked server. +func TestFineTunes(t *testing.T) { + client, server, teardown := setupOpenAITestServer() + defer teardown() + server.RegisterHandler( + "/v1/fine-tunes", + func(w http.ResponseWriter, r *http.Request) { + var resBytes []byte + if r.Method == http.MethodGet { + resBytes, _ = json.Marshal(openai.FineTuneList{}) + } else { + resBytes, _ = json.Marshal(openai.FineTune{}) + } + fmt.Fprintln(w, string(resBytes)) + }, + ) + + server.RegisterHandler( + "/v1/fine-tunes/"+testFineTuneID+"/cancel", + func(w http.ResponseWriter, _ *http.Request) { + resBytes, _ := json.Marshal(openai.FineTune{}) + fmt.Fprintln(w, string(resBytes)) + }, + ) + + server.RegisterHandler( + "/v1/fine-tunes/"+testFineTuneID, + func(w http.ResponseWriter, r *http.Request) { + var resBytes []byte + if r.Method == http.MethodDelete { + resBytes, _ = json.Marshal(openai.FineTuneDeleteResponse{}) + } else { + resBytes, _ = json.Marshal(openai.FineTune{}) + } + fmt.Fprintln(w, string(resBytes)) + }, + ) + + server.RegisterHandler( + "/v1/fine-tunes/"+testFineTuneID+"/events", + func(w http.ResponseWriter, _ *http.Request) { + resBytes, _ := json.Marshal(openai.FineTuneEventList{}) + fmt.Fprintln(w, string(resBytes)) + }, + ) + + ctx := context.Background() + + _, err := client.ListFineTunes(ctx) + checks.NoError(t, err, "ListFineTunes error") + + _, err = client.CreateFineTune(ctx, openai.FineTuneRequest{}) + checks.NoError(t, err, "CreateFineTune error") + + _, err = client.CancelFineTune(ctx, testFineTuneID) + checks.NoError(t, err, "CancelFineTune error") + + _, err = client.GetFineTune(ctx, testFineTuneID) + checks.NoError(t, err, "GetFineTune error") + + _, err = client.DeleteFineTune(ctx, testFineTuneID) + checks.NoError(t, err, "DeleteFineTune error") + + _, err = client.ListFineTuneEvents(ctx, testFineTuneID) + checks.NoError(t, err, "ListFineTuneEvents error") +} diff --git a/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/fine_tuning_job.go b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/fine_tuning_job.go new file mode 100644 index 0000000..5a9f54a --- /dev/null +++ b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/fine_tuning_job.go @@ -0,0 +1,159 @@ +package openai + +import ( + "context" + "fmt" + "net/http" + "net/url" +) + +type FineTuningJob struct { + ID string `json:"id"` + Object string `json:"object"` + CreatedAt int64 `json:"created_at"` + FinishedAt int64 `json:"finished_at"` + Model string `json:"model"` + FineTunedModel string `json:"fine_tuned_model,omitempty"` + OrganizationID string `json:"organization_id"` + Status string `json:"status"` + Hyperparameters Hyperparameters `json:"hyperparameters"` + TrainingFile string `json:"training_file"` + ValidationFile string `json:"validation_file,omitempty"` + ResultFiles []string `json:"result_files"` + TrainedTokens int `json:"trained_tokens"` + + httpHeader +} + +type Hyperparameters struct { + Epochs any `json:"n_epochs,omitempty"` + LearningRateMultiplier any `json:"learning_rate_multiplier,omitempty"` + BatchSize any `json:"batch_size,omitempty"` +} + +type FineTuningJobRequest struct { + TrainingFile string `json:"training_file"` + ValidationFile string `json:"validation_file,omitempty"` + Model string `json:"model,omitempty"` + Hyperparameters *Hyperparameters `json:"hyperparameters,omitempty"` + Suffix string `json:"suffix,omitempty"` +} + +type FineTuningJobEventList struct { + Object string `json:"object"` + Data []FineTuneEvent `json:"data"` + HasMore bool `json:"has_more"` + + httpHeader +} + +type FineTuningJobEvent struct { + Object string `json:"object"` + ID string `json:"id"` + CreatedAt int `json:"created_at"` + Level string `json:"level"` + Message string `json:"message"` + Data any `json:"data"` + Type string `json:"type"` +} + +// CreateFineTuningJob create a fine tuning job. +func (c *Client) CreateFineTuningJob( + ctx context.Context, + request FineTuningJobRequest, +) (response FineTuningJob, err error) { + urlSuffix := "/fine_tuning/jobs" + req, err := c.newRequest(ctx, http.MethodPost, c.fullURL(urlSuffix), withBody(request)) + if err != nil { + return + } + + err = c.sendRequest(req, &response) + return +} + +// CancelFineTuningJob cancel a fine tuning job. +func (c *Client) CancelFineTuningJob(ctx context.Context, fineTuningJobID string) (response FineTuningJob, err error) { + req, err := c.newRequest(ctx, http.MethodPost, c.fullURL("/fine_tuning/jobs/"+fineTuningJobID+"/cancel")) + if err != nil { + return + } + + err = c.sendRequest(req, &response) + return +} + +// RetrieveFineTuningJob retrieve a fine tuning job. +func (c *Client) RetrieveFineTuningJob( + ctx context.Context, + fineTuningJobID string, +) (response FineTuningJob, err error) { + urlSuffix := fmt.Sprintf("/fine_tuning/jobs/%s", fineTuningJobID) + req, err := c.newRequest(ctx, http.MethodGet, c.fullURL(urlSuffix)) + if err != nil { + return + } + + err = c.sendRequest(req, &response) + return +} + +type listFineTuningJobEventsParameters struct { + after *string + limit *int +} + +type ListFineTuningJobEventsParameter func(*listFineTuningJobEventsParameters) + +func ListFineTuningJobEventsWithAfter(after string) ListFineTuningJobEventsParameter { + return func(args *listFineTuningJobEventsParameters) { + args.after = &after + } +} + +func ListFineTuningJobEventsWithLimit(limit int) ListFineTuningJobEventsParameter { + return func(args *listFineTuningJobEventsParameters) { + args.limit = &limit + } +} + +// ListFineTuningJobs list fine tuning jobs events. +func (c *Client) ListFineTuningJobEvents( + ctx context.Context, + fineTuningJobID string, + setters ...ListFineTuningJobEventsParameter, +) (response FineTuningJobEventList, err error) { + parameters := &listFineTuningJobEventsParameters{ + after: nil, + limit: nil, + } + + for _, setter := range setters { + setter(parameters) + } + + urlValues := url.Values{} + if parameters.after != nil { + urlValues.Add("after", *parameters.after) + } + if parameters.limit != nil { + urlValues.Add("limit", fmt.Sprintf("%d", *parameters.limit)) + } + + encodedValues := "" + if len(urlValues) > 0 { + encodedValues = "?" + urlValues.Encode() + } + + req, err := c.newRequest( + ctx, + http.MethodGet, + c.fullURL("/fine_tuning/jobs/"+fineTuningJobID+"/events"+encodedValues), + ) + if err != nil { + return + } + + err = c.sendRequest(req, &response) + return +} diff --git a/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/fine_tuning_job_test.go b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/fine_tuning_job_test.go new file mode 100644 index 0000000..5f63ef2 --- /dev/null +++ b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/fine_tuning_job_test.go @@ -0,0 +1,106 @@ +package openai_test + +import ( + "context" + "encoding/json" + "fmt" + "net/http" + "testing" + + "github.com/sashabaranov/go-openai" + "github.com/sashabaranov/go-openai/internal/test/checks" +) + +const testFineTuninigJobID = "fine-tuning-job-id" + +// TestFineTuningJob Tests the fine tuning job endpoint of the API using the mocked server. +func TestFineTuningJob(t *testing.T) { + client, server, teardown := setupOpenAITestServer() + defer teardown() + server.RegisterHandler( + "/v1/fine_tuning/jobs", + func(w http.ResponseWriter, _ *http.Request) { + resBytes, _ := json.Marshal(openai.FineTuningJob{ + Object: "fine_tuning.job", + ID: testFineTuninigJobID, + Model: "davinci-002", + CreatedAt: 1692661014, + FinishedAt: 1692661190, + FineTunedModel: "ft:davinci-002:my-org:custom_suffix:7q8mpxmy", + OrganizationID: "org-123", + ResultFiles: []string{"file-abc123"}, + Status: "succeeded", + ValidationFile: "", + TrainingFile: "file-abc123", + Hyperparameters: openai.Hyperparameters{ + Epochs: "auto", + LearningRateMultiplier: "auto", + BatchSize: "auto", + }, + TrainedTokens: 5768, + }) + fmt.Fprintln(w, string(resBytes)) + }, + ) + + server.RegisterHandler( + "/v1/fine_tuning/jobs/"+testFineTuninigJobID+"/cancel", + func(w http.ResponseWriter, _ *http.Request) { + resBytes, _ := json.Marshal(openai.FineTuningJob{}) + fmt.Fprintln(w, string(resBytes)) + }, + ) + + server.RegisterHandler( + "/v1/fine_tuning/jobs/"+testFineTuninigJobID, + func(w http.ResponseWriter, _ *http.Request) { + var resBytes []byte + resBytes, _ = json.Marshal(openai.FineTuningJob{}) + fmt.Fprintln(w, string(resBytes)) + }, + ) + + server.RegisterHandler( + "/v1/fine_tuning/jobs/"+testFineTuninigJobID+"/events", + func(w http.ResponseWriter, _ *http.Request) { + resBytes, _ := json.Marshal(openai.FineTuningJobEventList{}) + fmt.Fprintln(w, string(resBytes)) + }, + ) + + ctx := context.Background() + + _, err := client.CreateFineTuningJob(ctx, openai.FineTuningJobRequest{}) + checks.NoError(t, err, "CreateFineTuningJob error") + + _, err = client.CancelFineTuningJob(ctx, testFineTuninigJobID) + checks.NoError(t, err, "CancelFineTuningJob error") + + _, err = client.RetrieveFineTuningJob(ctx, testFineTuninigJobID) + checks.NoError(t, err, "RetrieveFineTuningJob error") + + _, err = client.ListFineTuningJobEvents(ctx, testFineTuninigJobID) + checks.NoError(t, err, "ListFineTuningJobEvents error") + + _, err = client.ListFineTuningJobEvents( + ctx, + testFineTuninigJobID, + openai.ListFineTuningJobEventsWithAfter("last-event-id"), + ) + checks.NoError(t, err, "ListFineTuningJobEvents error") + + _, err = client.ListFineTuningJobEvents( + ctx, + testFineTuninigJobID, + openai.ListFineTuningJobEventsWithLimit(10), + ) + checks.NoError(t, err, "ListFineTuningJobEvents error") + + _, err = client.ListFineTuningJobEvents( + ctx, + testFineTuninigJobID, + openai.ListFineTuningJobEventsWithAfter("last-event-id"), + openai.ListFineTuningJobEventsWithLimit(10), + ) + checks.NoError(t, err, "ListFineTuningJobEvents error") +} diff --git a/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/go.mod b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/go.mod new file mode 100644 index 0000000..42cc7b3 --- /dev/null +++ b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/go.mod @@ -0,0 +1,3 @@ +module github.com/sashabaranov/go-openai + +go 1.18 diff --git a/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/image.go b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/image.go new file mode 100644 index 0000000..84b9daf --- /dev/null +++ b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/image.go @@ -0,0 +1,289 @@ +package openai + +import ( + "bytes" + "context" + "io" + "net/http" + "strconv" +) + +// Image sizes defined by the OpenAI API. +const ( + CreateImageSize256x256 = "256x256" + CreateImageSize512x512 = "512x512" + CreateImageSize1024x1024 = "1024x1024" + + // dall-e-3 supported only. + CreateImageSize1792x1024 = "1792x1024" + CreateImageSize1024x1792 = "1024x1792" + + // gpt-image-1 supported only. + CreateImageSize1536x1024 = "1536x1024" // Landscape + CreateImageSize1024x1536 = "1024x1536" // Portrait +) + +const ( + // dall-e-2 and dall-e-3 only. + CreateImageResponseFormatB64JSON = "b64_json" + CreateImageResponseFormatURL = "url" +) + +const ( + CreateImageModelDallE2 = "dall-e-2" + CreateImageModelDallE3 = "dall-e-3" + CreateImageModelGptImage1 = "gpt-image-1" +) + +const ( + CreateImageQualityHD = "hd" + CreateImageQualityStandard = "standard" + + // gpt-image-1 only. + CreateImageQualityHigh = "high" + CreateImageQualityMedium = "medium" + CreateImageQualityLow = "low" +) + +const ( + // dall-e-3 only. + CreateImageStyleVivid = "vivid" + CreateImageStyleNatural = "natural" +) + +const ( + // gpt-image-1 only. + CreateImageBackgroundTransparent = "transparent" + CreateImageBackgroundOpaque = "opaque" +) + +const ( + // gpt-image-1 only. + CreateImageModerationLow = "low" +) + +const ( + // gpt-image-1 only. + CreateImageOutputFormatPNG = "png" + CreateImageOutputFormatJPEG = "jpeg" + CreateImageOutputFormatWEBP = "webp" +) + +// ImageRequest represents the request structure for the image API. +type ImageRequest struct { + Prompt string `json:"prompt,omitempty"` + Model string `json:"model,omitempty"` + N int `json:"n,omitempty"` + Quality string `json:"quality,omitempty"` + Size string `json:"size,omitempty"` + Style string `json:"style,omitempty"` + ResponseFormat string `json:"response_format,omitempty"` + User string `json:"user,omitempty"` + Background string `json:"background,omitempty"` + Moderation string `json:"moderation,omitempty"` + OutputCompression int `json:"output_compression,omitempty"` + OutputFormat string `json:"output_format,omitempty"` +} + +// ImageResponse represents a response structure for image API. +type ImageResponse struct { + Created int64 `json:"created,omitempty"` + Data []ImageResponseDataInner `json:"data,omitempty"` + Usage ImageResponseUsage `json:"usage,omitempty"` + + httpHeader +} + +// ImageResponseInputTokensDetails represents the token breakdown for input tokens. +type ImageResponseInputTokensDetails struct { + TextTokens int `json:"text_tokens,omitempty"` + ImageTokens int `json:"image_tokens,omitempty"` +} + +// ImageResponseUsage represents the token usage information for image API. +type ImageResponseUsage struct { + TotalTokens int `json:"total_tokens,omitempty"` + InputTokens int `json:"input_tokens,omitempty"` + OutputTokens int `json:"output_tokens,omitempty"` + InputTokensDetails ImageResponseInputTokensDetails `json:"input_tokens_details,omitempty"` +} + +// ImageResponseDataInner represents a response data structure for image API. +type ImageResponseDataInner struct { + URL string `json:"url,omitempty"` + B64JSON string `json:"b64_json,omitempty"` + RevisedPrompt string `json:"revised_prompt,omitempty"` +} + +// CreateImage - API call to create an image. This is the main endpoint of the DALL-E API. +func (c *Client) CreateImage(ctx context.Context, request ImageRequest) (response ImageResponse, err error) { + urlSuffix := "/images/generations" + req, err := c.newRequest( + ctx, + http.MethodPost, + c.fullURL(urlSuffix, withModel(request.Model)), + withBody(request), + ) + if err != nil { + return + } + + err = c.sendRequest(req, &response) + return +} + +// WrapReader wraps an io.Reader with filename and Content-type. +func WrapReader(rdr io.Reader, filename string, contentType string) io.Reader { + return file{rdr, filename, contentType} +} + +type file struct { + io.Reader + name string + contentType string +} + +func (f file) Name() string { + if f.name != "" { + return f.name + } else if named, ok := f.Reader.(interface{ Name() string }); ok { + return named.Name() + } + return "" +} + +func (f file) ContentType() string { + return f.contentType +} + +// ImageEditRequest represents the request structure for the image API. +// Use WrapReader to wrap an io.Reader with filename and Content-type. +type ImageEditRequest struct { + Image io.Reader `json:"image,omitempty"` + Mask io.Reader `json:"mask,omitempty"` + Prompt string `json:"prompt,omitempty"` + Model string `json:"model,omitempty"` + N int `json:"n,omitempty"` + Size string `json:"size,omitempty"` + ResponseFormat string `json:"response_format,omitempty"` + Quality string `json:"quality,omitempty"` + User string `json:"user,omitempty"` +} + +// CreateEditImage - API call to create an image. This is the main endpoint of the DALL-E API. +func (c *Client) CreateEditImage(ctx context.Context, request ImageEditRequest) (response ImageResponse, err error) { + body := &bytes.Buffer{} + builder := c.createFormBuilder(body) + + // image, filename verification can be postponed + err = builder.CreateFormFileReader("image", request.Image, "") + if err != nil { + return + } + + // mask, it is optional + if request.Mask != nil { + // filename verification can be postponed + err = builder.CreateFormFileReader("mask", request.Mask, "") + if err != nil { + return + } + } + + err = builder.WriteField("prompt", request.Prompt) + if err != nil { + return + } + + err = builder.WriteField("n", strconv.Itoa(request.N)) + if err != nil { + return + } + + err = builder.WriteField("size", request.Size) + if err != nil { + return + } + + err = builder.WriteField("response_format", request.ResponseFormat) + if err != nil { + return + } + + err = builder.Close() + if err != nil { + return + } + + req, err := c.newRequest( + ctx, + http.MethodPost, + c.fullURL("/images/edits", withModel(request.Model)), + withBody(body), + withContentType(builder.FormDataContentType()), + ) + if err != nil { + return + } + + err = c.sendRequest(req, &response) + return +} + +// ImageVariRequest represents the request structure for the image API. +// Use WrapReader to wrap an io.Reader with filename and Content-type. +type ImageVariRequest struct { + Image io.Reader `json:"image,omitempty"` + Model string `json:"model,omitempty"` + N int `json:"n,omitempty"` + Size string `json:"size,omitempty"` + ResponseFormat string `json:"response_format,omitempty"` + User string `json:"user,omitempty"` +} + +// CreateVariImage - API call to create an image variation. This is the main endpoint of the DALL-E API. +// Use abbreviations(vari for variation) because ci-lint has a single-line length limit ... +func (c *Client) CreateVariImage(ctx context.Context, request ImageVariRequest) (response ImageResponse, err error) { + body := &bytes.Buffer{} + builder := c.createFormBuilder(body) + + // image, filename verification can be postponed + err = builder.CreateFormFileReader("image", request.Image, "") + if err != nil { + return + } + + err = builder.WriteField("n", strconv.Itoa(request.N)) + if err != nil { + return + } + + err = builder.WriteField("size", request.Size) + if err != nil { + return + } + + err = builder.WriteField("response_format", request.ResponseFormat) + if err != nil { + return + } + + err = builder.Close() + if err != nil { + return + } + + req, err := c.newRequest( + ctx, + http.MethodPost, + c.fullURL("/images/variations", withModel(request.Model)), + withBody(body), + withContentType(builder.FormDataContentType()), + ) + if err != nil { + return + } + + err = c.sendRequest(req, &response) + return +} diff --git a/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/image_api_test.go b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/image_api_test.go new file mode 100644 index 0000000..f6057b7 --- /dev/null +++ b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/image_api_test.go @@ -0,0 +1,214 @@ +package openai_test + +import ( + "context" + "encoding/json" + "fmt" + "io" + "net/http" + "os" + "path/filepath" + "testing" + "time" + + "github.com/sashabaranov/go-openai" + "github.com/sashabaranov/go-openai/internal/test/checks" +) + +func TestImages(t *testing.T) { + client, server, teardown := setupOpenAITestServer() + defer teardown() + server.RegisterHandler("/v1/images/generations", handleImageEndpoint) + _, err := client.CreateImage(context.Background(), openai.ImageRequest{ + Prompt: "Lorem ipsum", + Model: openai.CreateImageModelDallE3, + N: 1, + Quality: openai.CreateImageQualityHD, + Size: openai.CreateImageSize1024x1024, + Style: openai.CreateImageStyleVivid, + ResponseFormat: openai.CreateImageResponseFormatURL, + User: "user", + }) + checks.NoError(t, err, "CreateImage error") +} + +// handleImageEndpoint Handles the images endpoint by the test server. +func handleImageEndpoint(w http.ResponseWriter, r *http.Request) { + var err error + var resBytes []byte + + // images only accepts POST requests + if r.Method != "POST" { + http.Error(w, "Method not allowed", http.StatusMethodNotAllowed) + } + var imageReq openai.ImageRequest + if imageReq, err = getImageBody(r); err != nil { + http.Error(w, "could not read request", http.StatusInternalServerError) + return + } + res := openai.ImageResponse{ + Created: time.Now().Unix(), + } + for i := 0; i < imageReq.N; i++ { + imageData := openai.ImageResponseDataInner{} + switch imageReq.ResponseFormat { + case openai.CreateImageResponseFormatURL, "": + imageData.URL = "https://example.com/image.png" + case openai.CreateImageResponseFormatB64JSON: + // This decodes to "{}" in base64. + imageData.B64JSON = "e30K" + default: + http.Error(w, "invalid response format", http.StatusBadRequest) + return + } + res.Data = append(res.Data, imageData) + } + resBytes, _ = json.Marshal(res) + fmt.Fprintln(w, string(resBytes)) +} + +// getImageBody Returns the body of the request to create a image. +func getImageBody(r *http.Request) (openai.ImageRequest, error) { + image := openai.ImageRequest{} + // read the request body + reqBody, err := io.ReadAll(r.Body) + if err != nil { + return openai.ImageRequest{}, err + } + err = json.Unmarshal(reqBody, &image) + if err != nil { + return openai.ImageRequest{}, err + } + return image, nil +} + +func TestImageEdit(t *testing.T) { + client, server, teardown := setupOpenAITestServer() + defer teardown() + server.RegisterHandler("/v1/images/edits", handleEditImageEndpoint) + + origin, err := os.Create(filepath.Join(t.TempDir(), "image.png")) + if err != nil { + t.Fatalf("open origin file error: %v", err) + } + defer origin.Close() + + mask, err := os.Create(filepath.Join(t.TempDir(), "mask.png")) + if err != nil { + t.Fatalf("open mask file error: %v", err) + } + defer mask.Close() + + _, err = client.CreateEditImage(context.Background(), openai.ImageEditRequest{ + Image: origin, + Mask: mask, + Prompt: "There is a turtle in the pool", + N: 3, + Size: openai.CreateImageSize1024x1024, + ResponseFormat: openai.CreateImageResponseFormatURL, + }) + checks.NoError(t, err, "CreateImage error") +} + +func TestImageEditWithoutMask(t *testing.T) { + client, server, teardown := setupOpenAITestServer() + defer teardown() + server.RegisterHandler("/v1/images/edits", handleEditImageEndpoint) + + origin, err := os.Create(filepath.Join(t.TempDir(), "image.png")) + if err != nil { + t.Fatalf("open origin file error: %v", err) + } + defer origin.Close() + + _, err = client.CreateEditImage(context.Background(), openai.ImageEditRequest{ + Image: origin, + Prompt: "There is a turtle in the pool", + N: 3, + Size: openai.CreateImageSize1024x1024, + ResponseFormat: openai.CreateImageResponseFormatURL, + }) + checks.NoError(t, err, "CreateImage error") +} + +// handleEditImageEndpoint Handles the images endpoint by the test server. +func handleEditImageEndpoint(w http.ResponseWriter, r *http.Request) { + var resBytes []byte + + // images only accepts POST requests + if r.Method != "POST" { + http.Error(w, "Method not allowed", http.StatusMethodNotAllowed) + } + + responses := openai.ImageResponse{ + Created: time.Now().Unix(), + Data: []openai.ImageResponseDataInner{ + { + URL: "test-url1", + B64JSON: "", + }, + { + URL: "test-url2", + B64JSON: "", + }, + { + URL: "test-url3", + B64JSON: "", + }, + }, + } + + resBytes, _ = json.Marshal(responses) + fmt.Fprintln(w, string(resBytes)) +} + +func TestImageVariation(t *testing.T) { + client, server, teardown := setupOpenAITestServer() + defer teardown() + server.RegisterHandler("/v1/images/variations", handleVariateImageEndpoint) + + origin, err := os.Create(filepath.Join(t.TempDir(), "image.png")) + if err != nil { + t.Fatalf("open origin file error: %v", err) + } + defer origin.Close() + + _, err = client.CreateVariImage(context.Background(), openai.ImageVariRequest{ + Image: origin, + N: 3, + Size: openai.CreateImageSize1024x1024, + ResponseFormat: openai.CreateImageResponseFormatURL, + }) + checks.NoError(t, err, "CreateImage error") +} + +// handleVariateImageEndpoint Handles the images endpoint by the test server. +func handleVariateImageEndpoint(w http.ResponseWriter, r *http.Request) { + var resBytes []byte + + // images only accepts POST requests + if r.Method != "POST" { + http.Error(w, "Method not allowed", http.StatusMethodNotAllowed) + } + + responses := openai.ImageResponse{ + Created: time.Now().Unix(), + Data: []openai.ImageResponseDataInner{ + { + URL: "test-url1", + B64JSON: "", + }, + { + URL: "test-url2", + B64JSON: "", + }, + { + URL: "test-url3", + B64JSON: "", + }, + }, + } + + resBytes, _ = json.Marshal(responses) + fmt.Fprintln(w, string(resBytes)) +} diff --git a/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/image_test.go b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/image_test.go new file mode 100644 index 0000000..c2c8f42 --- /dev/null +++ b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/image_test.go @@ -0,0 +1,323 @@ +package openai //nolint:testpackage // testing private field + +import ( + utils "github.com/sashabaranov/go-openai/internal" + "github.com/sashabaranov/go-openai/internal/test/checks" + + "bytes" + "context" + "fmt" + "io" + "os" + "testing" +) + +type mockFormBuilder struct { + mockCreateFormFile func(string, *os.File) error + mockCreateFormFileReader func(string, io.Reader, string) error + mockWriteField func(string, string) error + mockClose func() error +} + +func (fb *mockFormBuilder) CreateFormFile(fieldname string, file *os.File) error { + return fb.mockCreateFormFile(fieldname, file) +} + +func (fb *mockFormBuilder) CreateFormFileReader(fieldname string, r io.Reader, filename string) error { + return fb.mockCreateFormFileReader(fieldname, r, filename) +} + +func (fb *mockFormBuilder) WriteField(fieldname, value string) error { + return fb.mockWriteField(fieldname, value) +} + +func (fb *mockFormBuilder) Close() error { + return fb.mockClose() +} + +func (fb *mockFormBuilder) FormDataContentType() string { + return "" +} + +func TestImageFormBuilderFailures(t *testing.T) { + ctx := context.Background() + mockFailedErr := fmt.Errorf("mock form builder fail") + + newClient := func(fb *mockFormBuilder) *Client { + cfg := DefaultConfig("") + cfg.BaseURL = "" + c := NewClientWithConfig(cfg) + c.createFormBuilder = func(io.Writer) utils.FormBuilder { return fb } + return c + } + + tests := []struct { + name string + setup func(*mockFormBuilder) + req ImageEditRequest + }{ + { + name: "image", + setup: func(fb *mockFormBuilder) { + fb.mockCreateFormFileReader = func(string, io.Reader, string) error { return mockFailedErr } + fb.mockWriteField = func(string, string) error { return nil } + fb.mockClose = func() error { return nil } + }, + req: ImageEditRequest{Image: bytes.NewBuffer(nil), Mask: bytes.NewBuffer(nil)}, + }, + { + name: "mask", + setup: func(fb *mockFormBuilder) { + fb.mockCreateFormFileReader = func(name string, _ io.Reader, _ string) error { + if name == "mask" { + return mockFailedErr + } + return nil + } + fb.mockWriteField = func(string, string) error { return nil } + fb.mockClose = func() error { return nil } + }, + req: ImageEditRequest{Image: bytes.NewBuffer(nil), Mask: bytes.NewBuffer(nil)}, + }, + { + name: "prompt", + setup: func(fb *mockFormBuilder) { + fb.mockCreateFormFileReader = func(string, io.Reader, string) error { return nil } + fb.mockWriteField = func(field, _ string) error { + if field == "prompt" { + return mockFailedErr + } + return nil + } + fb.mockClose = func() error { return nil } + }, + req: ImageEditRequest{Image: bytes.NewBuffer(nil), Mask: bytes.NewBuffer(nil)}, + }, + { + name: "n", + setup: func(fb *mockFormBuilder) { + fb.mockCreateFormFileReader = func(string, io.Reader, string) error { return nil } + fb.mockWriteField = func(field, _ string) error { + if field == "n" { + return mockFailedErr + } + return nil + } + fb.mockClose = func() error { return nil } + }, + req: ImageEditRequest{Image: bytes.NewBuffer(nil), Mask: bytes.NewBuffer(nil)}, + }, + { + name: "size", + setup: func(fb *mockFormBuilder) { + fb.mockCreateFormFileReader = func(string, io.Reader, string) error { return nil } + fb.mockWriteField = func(field, _ string) error { + if field == "size" { + return mockFailedErr + } + return nil + } + fb.mockClose = func() error { return nil } + }, + req: ImageEditRequest{Image: bytes.NewBuffer(nil), Mask: bytes.NewBuffer(nil)}, + }, + { + name: "response_format", + setup: func(fb *mockFormBuilder) { + fb.mockCreateFormFileReader = func(string, io.Reader, string) error { return nil } + fb.mockWriteField = func(field, _ string) error { + if field == "response_format" { + return mockFailedErr + } + return nil + } + fb.mockClose = func() error { return nil } + }, + req: ImageEditRequest{Image: bytes.NewBuffer(nil), Mask: bytes.NewBuffer(nil)}, + }, + { + name: "close", + setup: func(fb *mockFormBuilder) { + fb.mockCreateFormFileReader = func(string, io.Reader, string) error { return nil } + fb.mockWriteField = func(string, string) error { return nil } + fb.mockClose = func() error { return mockFailedErr } + }, + req: ImageEditRequest{Image: bytes.NewBuffer(nil), Mask: bytes.NewBuffer(nil)}, + }, + } + + for _, tc := range tests { + t.Run(tc.name, func(t *testing.T) { + fb := &mockFormBuilder{} + tc.setup(fb) + client := newClient(fb) + _, err := client.CreateEditImage(ctx, tc.req) + checks.ErrorIs(t, err, mockFailedErr, "CreateEditImage should return error if form builder fails") + }) + } + + t.Run("new request", func(t *testing.T) { + fb := &mockFormBuilder{ + mockCreateFormFileReader: func(string, io.Reader, string) error { return nil }, + mockWriteField: func(string, string) error { return nil }, + mockClose: func() error { return nil }, + } + client := newClient(fb) + client.requestBuilder = &failingRequestBuilder{} + + _, err := client.CreateEditImage(ctx, ImageEditRequest{Image: bytes.NewBuffer(nil), Mask: bytes.NewBuffer(nil)}) + checks.ErrorIs(t, err, errTestRequestBuilderFailed, "CreateEditImage should return error if request builder fails") + }) +} + +func TestVariImageFormBuilderFailures(t *testing.T) { + ctx := context.Background() + mockFailedErr := fmt.Errorf("mock form builder fail") + + newClient := func(fb *mockFormBuilder) *Client { + cfg := DefaultConfig("") + cfg.BaseURL = "" + c := NewClientWithConfig(cfg) + c.createFormBuilder = func(io.Writer) utils.FormBuilder { return fb } + return c + } + + tests := []struct { + name string + setup func(*mockFormBuilder) + req ImageVariRequest + }{ + { + name: "image", + setup: func(fb *mockFormBuilder) { + fb.mockCreateFormFileReader = func(string, io.Reader, string) error { return mockFailedErr } + fb.mockWriteField = func(string, string) error { return nil } + fb.mockClose = func() error { return nil } + }, + req: ImageVariRequest{Image: bytes.NewBuffer(nil)}, + }, + { + name: "n", + setup: func(fb *mockFormBuilder) { + fb.mockCreateFormFileReader = func(string, io.Reader, string) error { return nil } + fb.mockWriteField = func(field string, _ string) error { + if field == "n" { + return mockFailedErr + } + return nil + } + fb.mockClose = func() error { return nil } + }, + req: ImageVariRequest{Image: bytes.NewBuffer(nil)}, + }, + { + name: "size", + setup: func(fb *mockFormBuilder) { + fb.mockCreateFormFileReader = func(string, io.Reader, string) error { return nil } + fb.mockWriteField = func(field string, _ string) error { + if field == "size" { + return mockFailedErr + } + return nil + } + fb.mockClose = func() error { return nil } + }, + req: ImageVariRequest{Image: bytes.NewBuffer(nil)}, + }, + { + name: "response_format", + setup: func(fb *mockFormBuilder) { + fb.mockCreateFormFileReader = func(string, io.Reader, string) error { return nil } + fb.mockWriteField = func(field string, _ string) error { + if field == "response_format" { + return mockFailedErr + } + return nil + } + fb.mockClose = func() error { return nil } + }, + req: ImageVariRequest{Image: bytes.NewBuffer(nil)}, + }, + { + name: "close", + setup: func(fb *mockFormBuilder) { + fb.mockCreateFormFileReader = func(string, io.Reader, string) error { return nil } + fb.mockWriteField = func(string, string) error { return nil } + fb.mockClose = func() error { return mockFailedErr } + }, + req: ImageVariRequest{Image: bytes.NewBuffer(nil)}, + }, + } + + for _, tc := range tests { + t.Run(tc.name, func(t *testing.T) { + fb := &mockFormBuilder{} + tc.setup(fb) + client := newClient(fb) + _, err := client.CreateVariImage(ctx, tc.req) + checks.ErrorIs(t, err, mockFailedErr, "CreateVariImage should return error if form builder fails") + }) + } + + t.Run("new request", func(t *testing.T) { + fb := &mockFormBuilder{ + mockCreateFormFileReader: func(string, io.Reader, string) error { return nil }, + mockWriteField: func(string, string) error { return nil }, + mockClose: func() error { return nil }, + } + client := newClient(fb) + client.requestBuilder = &failingRequestBuilder{} + + _, err := client.CreateVariImage(ctx, ImageVariRequest{Image: bytes.NewBuffer(nil)}) + checks.ErrorIs(t, err, errTestRequestBuilderFailed, "CreateVariImage should return error if request builder fails") + }) +} + +type testNamedReader struct{ io.Reader } + +func (testNamedReader) Name() string { return "named.txt" } + +func TestWrapReader(t *testing.T) { + r := bytes.NewBufferString("data") + wrapped := WrapReader(r, "file.png", "image/png") + f, ok := wrapped.(interface { + Name() string + ContentType() string + }) + if !ok { + t.Fatal("wrapped reader missing Name or ContentType") + } + if f.Name() != "file.png" { + t.Fatalf("expected name file.png, got %s", f.Name()) + } + if f.ContentType() != "image/png" { + t.Fatalf("expected content type image/png, got %s", f.ContentType()) + } + + // test name from underlying reader + nr := testNamedReader{Reader: bytes.NewBufferString("d")} + wrapped = WrapReader(nr, "", "text/plain") + f, ok = wrapped.(interface { + Name() string + ContentType() string + }) + if !ok { + t.Fatal("wrapped named reader missing Name or ContentType") + } + if f.Name() != "named.txt" { + t.Fatalf("expected name named.txt, got %s", f.Name()) + } + if f.ContentType() != "text/plain" { + t.Fatalf("expected content type text/plain, got %s", f.ContentType()) + } + + // no name provided + wrapped = WrapReader(bytes.NewBuffer(nil), "", "") + f2, ok := wrapped.(interface{ Name() string }) + if !ok { + t.Fatal("wrapped anonymous reader missing Name") + } + if f2.Name() != "" { + t.Fatalf("expected empty name, got %s", f2.Name()) + } +} diff --git a/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/internal/error_accumulator.go b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/internal/error_accumulator.go new file mode 100644 index 0000000..3d3e805 --- /dev/null +++ b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/internal/error_accumulator.go @@ -0,0 +1,44 @@ +package openai + +import ( + "bytes" + "fmt" + "io" +) + +type ErrorAccumulator interface { + Write(p []byte) error + Bytes() []byte +} + +type errorBuffer interface { + io.Writer + Len() int + Bytes() []byte +} + +type DefaultErrorAccumulator struct { + Buffer errorBuffer +} + +func NewErrorAccumulator() ErrorAccumulator { + return &DefaultErrorAccumulator{ + Buffer: &bytes.Buffer{}, + } +} + +func (e *DefaultErrorAccumulator) Write(p []byte) error { + _, err := e.Buffer.Write(p) + if err != nil { + return fmt.Errorf("error accumulator write error, %w", err) + } + return nil +} + +func (e *DefaultErrorAccumulator) Bytes() (errBytes []byte) { + if e.Buffer.Len() == 0 { + return + } + errBytes = e.Buffer.Bytes() + return +} diff --git a/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/internal/error_accumulator_test.go b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/internal/error_accumulator_test.go new file mode 100644 index 0000000..f6c226c --- /dev/null +++ b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/internal/error_accumulator_test.go @@ -0,0 +1,39 @@ +package openai_test + +import ( + "testing" + + openai "github.com/sashabaranov/go-openai/internal" + "github.com/sashabaranov/go-openai/internal/test" + "github.com/sashabaranov/go-openai/internal/test/checks" +) + +func TestDefaultErrorAccumulator_WriteMultiple(t *testing.T) { + ea, ok := openai.NewErrorAccumulator().(*openai.DefaultErrorAccumulator) + if !ok { + t.Fatal("type assertion to *DefaultErrorAccumulator failed") + } + checks.NoError(t, ea.Write([]byte("{\"error\": \"test1\"}"))) + checks.NoError(t, ea.Write([]byte("{\"error\": \"test2\"}"))) + + expected := "{\"error\": \"test1\"}{\"error\": \"test2\"}" + if string(ea.Bytes()) != expected { + t.Fatalf("Expected %q, got %q", expected, ea.Bytes()) + } +} + +func TestDefaultErrorAccumulator_EmptyBuffer(t *testing.T) { + ea, ok := openai.NewErrorAccumulator().(*openai.DefaultErrorAccumulator) + if !ok { + t.Fatal("type assertion to *DefaultErrorAccumulator failed") + } + if len(ea.Bytes()) != 0 { + t.Fatal("Buffer should be empty initially") + } +} + +func TestDefaultErrorAccumulator_WriteError(t *testing.T) { + ea := &openai.DefaultErrorAccumulator{Buffer: &test.FailingErrorBuffer{}} + err := ea.Write([]byte("fail")) + checks.ErrorIs(t, err, test.ErrTestErrorAccumulatorWriteFailed, "Write should propagate buffer errors") +} diff --git a/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/internal/form_builder.go b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/internal/form_builder.go new file mode 100644 index 0000000..a17e820 --- /dev/null +++ b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/internal/form_builder.go @@ -0,0 +1,112 @@ +package openai + +import ( + "fmt" + "io" + "mime/multipart" + "net/textproto" + "os" + "path/filepath" + "strings" +) + +type FormBuilder interface { + CreateFormFile(fieldname string, file *os.File) error + CreateFormFileReader(fieldname string, r io.Reader, filename string) error + WriteField(fieldname, value string) error + Close() error + FormDataContentType() string +} + +type DefaultFormBuilder struct { + writer *multipart.Writer +} + +func NewFormBuilder(body io.Writer) *DefaultFormBuilder { + return &DefaultFormBuilder{ + writer: multipart.NewWriter(body), + } +} + +func (fb *DefaultFormBuilder) CreateFormFile(fieldname string, file *os.File) error { + return fb.createFormFile(fieldname, file, file.Name()) +} + +var quoteEscaper = strings.NewReplacer("\\", "\\\\", `"`, "\\\"") + +func escapeQuotes(s string) string { + return quoteEscaper.Replace(s) +} + +// CreateFormFileReader creates a form field with a file reader. +// The filename in Content-Disposition is required. +func (fb *DefaultFormBuilder) CreateFormFileReader(fieldname string, r io.Reader, filename string) error { + if filename == "" { + if f, ok := r.(interface{ Name() string }); ok { + filename = f.Name() + } + } + var contentType string + if f, ok := r.(interface{ ContentType() string }); ok { + contentType = f.ContentType() + } + + h := make(textproto.MIMEHeader) + h.Set( + "Content-Disposition", + fmt.Sprintf( + `form-data; name="%s"; filename="%s"`, + escapeQuotes(fieldname), + escapeQuotes(filepath.Base(filename)), + ), + ) + // content type is optional, but it can be set + if contentType != "" { + h.Set("Content-Type", contentType) + } + + fieldWriter, err := fb.writer.CreatePart(h) + if err != nil { + return err + } + + _, err = io.Copy(fieldWriter, r) + if err != nil { + return err + } + + return nil +} + +func (fb *DefaultFormBuilder) createFormFile(fieldname string, r io.Reader, filename string) error { + if filename == "" { + return fmt.Errorf("filename cannot be empty") + } + + fieldWriter, err := fb.writer.CreateFormFile(fieldname, filename) + if err != nil { + return err + } + + _, err = io.Copy(fieldWriter, r) + if err != nil { + return err + } + + return nil +} + +func (fb *DefaultFormBuilder) WriteField(fieldname, value string) error { + if fieldname == "" { + return fmt.Errorf("fieldname cannot be empty") + } + return fb.writer.WriteField(fieldname, value) +} + +func (fb *DefaultFormBuilder) Close() error { + return fb.writer.Close() +} + +func (fb *DefaultFormBuilder) FormDataContentType() string { + return fb.writer.FormDataContentType() +} diff --git a/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/internal/form_builder_test.go b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/internal/form_builder_test.go new file mode 100644 index 0000000..53ef11d --- /dev/null +++ b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/internal/form_builder_test.go @@ -0,0 +1,190 @@ +package openai //nolint:testpackage // testing private field + +import ( + "errors" + "io" + + "github.com/sashabaranov/go-openai/internal/test/checks" + + "bytes" + "os" + "strings" + "testing" +) + +type mockFormBuilder struct { + mockCreateFormFile func(string, *os.File) error + mockWriteField func(string, string) error + mockClose func() error +} + +func (m *mockFormBuilder) CreateFormFile(fieldname string, file *os.File) error { + return m.mockCreateFormFile(fieldname, file) +} + +func (m *mockFormBuilder) WriteField(fieldname, value string) error { + return m.mockWriteField(fieldname, value) +} + +func (m *mockFormBuilder) Close() error { + return m.mockClose() +} + +func (m *mockFormBuilder) FormDataContentType() string { + return "" +} + +func TestCloseMethod(t *testing.T) { + t.Run("NormalClose", func(t *testing.T) { + body := &bytes.Buffer{} + builder := NewFormBuilder(body) + checks.NoError(t, builder.Close(), "正常关闭应成功") + }) + + t.Run("ErrorPropagation", func(t *testing.T) { + errorMock := errors.New("mock close error") + mockBuilder := &mockFormBuilder{ + mockClose: func() error { + return errorMock + }, + } + err := mockBuilder.Close() + checks.ErrorIs(t, err, errorMock, "应传递关闭错误") + }) +} + +type failingWriter struct { +} + +var errMockFailingWriterError = errors.New("mock writer failed") + +func (*failingWriter) Write([]byte) (int, error) { + return 0, errMockFailingWriterError +} + +func TestFormBuilderWithFailingWriter(t *testing.T) { + file, err := os.CreateTemp(t.TempDir(), "") + if err != nil { + t.Fatalf("Error creating tmp file: %v", err) + } + defer file.Close() + + builder := NewFormBuilder(&failingWriter{}) + err = builder.CreateFormFile("file", file) + checks.ErrorIs(t, err, errMockFailingWriterError, "formbuilder should return error if writer fails") +} + +func TestFormBuilderWithClosedFile(t *testing.T) { + file, err := os.CreateTemp(t.TempDir(), "") + if err != nil { + t.Fatalf("Error creating tmp file: %v", err) + } + file.Close() + + body := &bytes.Buffer{} + builder := NewFormBuilder(body) + err = builder.CreateFormFile("file", file) + checks.HasError(t, err, "formbuilder should return error if file is closed") + checks.ErrorIs(t, err, os.ErrClosed, "formbuilder should return error if file is closed") +} + +type failingReader struct { +} + +var errMockFailingReaderError = errors.New("mock reader failed") + +func (*failingReader) Read([]byte) (int, error) { + return 0, errMockFailingReaderError +} + +type readerWithNameAndContentType struct { + io.Reader +} + +func (*readerWithNameAndContentType) Name() string { + return "" +} + +func (*readerWithNameAndContentType) ContentType() string { + return "image/png" +} + +func TestFormBuilderWithReader(t *testing.T) { + file, err := os.CreateTemp(t.TempDir(), "") + if err != nil { + t.Fatalf("Error creating tmp file: %v", err) + } + defer file.Close() + builder := NewFormBuilder(&failingWriter{}) + err = builder.CreateFormFileReader("file", file, file.Name()) + checks.ErrorIs(t, err, errMockFailingWriterError, "formbuilder should return error if writer fails") + + builder = NewFormBuilder(&bytes.Buffer{}) + reader := &failingReader{} + err = builder.CreateFormFileReader("file", reader, "") + checks.ErrorIs(t, err, errMockFailingReaderError, "formbuilder should return error if copy reader fails") + + successReader := &bytes.Buffer{} + err = builder.CreateFormFileReader("file", successReader, "") + checks.NoError(t, err, "formbuilder should not return error") + + rnc := &readerWithNameAndContentType{Reader: &bytes.Buffer{}} + err = builder.CreateFormFileReader("file", rnc, "") + checks.NoError(t, err, "formbuilder should not return error") +} + +func TestFormDataContentType(t *testing.T) { + t.Run("ReturnsUnderlyingWriterContentType", func(t *testing.T) { + buf := &bytes.Buffer{} + builder := NewFormBuilder(buf) + + contentType := builder.FormDataContentType() + if contentType == "" { + t.Errorf("expected non-empty content type, got empty string") + } + }) +} + +func TestWriteField(t *testing.T) { + t.Run("EmptyFieldNameShouldReturnError", func(t *testing.T) { + buf := &bytes.Buffer{} + builder := NewFormBuilder(buf) + + err := builder.WriteField("", "some value") + checks.HasError(t, err, "fieldname is required") + }) + + t.Run("ValidFieldNameShouldSucceed", func(t *testing.T) { + buf := &bytes.Buffer{} + builder := NewFormBuilder(buf) + + err := builder.WriteField("key", "value") + checks.NoError(t, err, "should write field without error") + }) +} + +func TestCreateFormFile(t *testing.T) { + buf := &bytes.Buffer{} + builder := NewFormBuilder(buf) + + err := builder.createFormFile("file", bytes.NewBufferString("data"), "") + if err == nil { + t.Fatal("expected error for empty filename") + } + + builder = NewFormBuilder(&failingWriter{}) + err = builder.createFormFile("file", bytes.NewBufferString("data"), "name") + checks.ErrorIs(t, err, errMockFailingWriterError, "should propagate writer error") +} + +func TestCreateFormFileSuccess(t *testing.T) { + buf := &bytes.Buffer{} + builder := NewFormBuilder(buf) + + err := builder.createFormFile("file", bytes.NewBufferString("data"), "foo.txt") + checks.NoError(t, err, "createFormFile should succeed") + + if !strings.Contains(buf.String(), "filename=\"foo.txt\"") { + t.Fatalf("expected filename header, got %q", buf.String()) + } +} diff --git a/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/internal/marshaller.go b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/internal/marshaller.go new file mode 100644 index 0000000..223a4dc --- /dev/null +++ b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/internal/marshaller.go @@ -0,0 +1,15 @@ +package openai + +import ( + "encoding/json" +) + +type Marshaller interface { + Marshal(value any) ([]byte, error) +} + +type JSONMarshaller struct{} + +func (jm *JSONMarshaller) Marshal(value any) ([]byte, error) { + return json.Marshal(value) +} diff --git a/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/internal/marshaller_test.go b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/internal/marshaller_test.go new file mode 100644 index 0000000..70694fa --- /dev/null +++ b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/internal/marshaller_test.go @@ -0,0 +1,34 @@ +package openai_test + +import ( + "testing" + + openai "github.com/sashabaranov/go-openai/internal" + "github.com/sashabaranov/go-openai/internal/test/checks" +) + +func TestJSONMarshaller_Normal(t *testing.T) { + jm := &openai.JSONMarshaller{} + data := map[string]string{"key": "value"} + + b, err := jm.Marshal(data) + checks.NoError(t, err) + if len(b) == 0 { + t.Fatal("should return non-empty bytes") + } +} + +func TestJSONMarshaller_InvalidInput(t *testing.T) { + jm := &openai.JSONMarshaller{} + _, err := jm.Marshal(make(chan int)) + checks.HasError(t, err, "should return error for unsupported type") +} + +func TestJSONMarshaller_EmptyValue(t *testing.T) { + jm := &openai.JSONMarshaller{} + b, err := jm.Marshal(nil) + checks.NoError(t, err) + if string(b) != "null" { + t.Fatalf("unexpected marshaled value: %s", string(b)) + } +} diff --git a/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/internal/request_builder.go b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/internal/request_builder.go new file mode 100644 index 0000000..5699f6b --- /dev/null +++ b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/internal/request_builder.go @@ -0,0 +1,52 @@ +package openai + +import ( + "bytes" + "context" + "io" + "net/http" +) + +type RequestBuilder interface { + Build(ctx context.Context, method, url string, body any, header http.Header) (*http.Request, error) +} + +type HTTPRequestBuilder struct { + marshaller Marshaller +} + +func NewRequestBuilder() *HTTPRequestBuilder { + return &HTTPRequestBuilder{ + marshaller: &JSONMarshaller{}, + } +} + +func (b *HTTPRequestBuilder) Build( + ctx context.Context, + method string, + url string, + body any, + header http.Header, +) (req *http.Request, err error) { + var bodyReader io.Reader + if body != nil { + if v, ok := body.(io.Reader); ok { + bodyReader = v + } else { + var reqBytes []byte + reqBytes, err = b.marshaller.Marshal(body) + if err != nil { + return + } + bodyReader = bytes.NewBuffer(reqBytes) + } + } + req, err = http.NewRequestWithContext(ctx, method, url, bodyReader) + if err != nil { + return + } + if header != nil { + req.Header = header + } + return +} diff --git a/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/internal/request_builder_test.go b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/internal/request_builder_test.go new file mode 100644 index 0000000..adccb15 --- /dev/null +++ b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/internal/request_builder_test.go @@ -0,0 +1,96 @@ +package openai //nolint:testpackage // testing private field + +import ( + "bytes" + "context" + "errors" + "io" + "net/http" + "reflect" + "testing" +) + +var errTestMarshallerFailed = errors.New("test marshaller failed") + +type failingMarshaller struct{} + +func (*failingMarshaller) Marshal(_ any) ([]byte, error) { + return []byte{}, errTestMarshallerFailed +} + +func TestRequestBuilderReturnsMarshallerErrors(t *testing.T) { + builder := HTTPRequestBuilder{ + marshaller: &failingMarshaller{}, + } + + _, err := builder.Build(context.Background(), "", "", struct{}{}, nil) + if !errors.Is(err, errTestMarshallerFailed) { + t.Fatalf("Did not return error when marshaller failed: %v", err) + } +} + +func TestRequestBuilderReturnsRequest(t *testing.T) { + b := NewRequestBuilder() + var ( + ctx = context.Background() + method = http.MethodPost + url = "/foo" + request = map[string]string{"foo": "bar"} + reqBytes, _ = b.marshaller.Marshal(request) + want, _ = http.NewRequestWithContext(ctx, method, url, bytes.NewBuffer(reqBytes)) + ) + got, _ := b.Build(ctx, method, url, request, nil) + if !reflect.DeepEqual(got.Body, want.Body) || + !reflect.DeepEqual(got.URL, want.URL) || + !reflect.DeepEqual(got.Method, want.Method) { + t.Errorf("Build() got = %v, want %v", got, want) + } +} + +func TestRequestBuilderReturnsRequestWhenRequestOfArgsIsNil(t *testing.T) { + var ( + ctx = context.Background() + method = http.MethodGet + url = "/foo" + want, _ = http.NewRequestWithContext(ctx, method, url, nil) + ) + b := NewRequestBuilder() + got, _ := b.Build(ctx, method, url, nil, nil) + if !reflect.DeepEqual(got, want) { + t.Errorf("Build() got = %v, want %v", got, want) + } +} + +func TestRequestBuilderWithReaderBodyAndHeader(t *testing.T) { + b := NewRequestBuilder() + ctx := context.Background() + method := http.MethodPost + url := "/reader" + bodyContent := "hello" + body := bytes.NewBufferString(bodyContent) + header := http.Header{"X-Test": []string{"val"}} + + req, err := b.Build(ctx, method, url, body, header) + if err != nil { + t.Fatalf("Build returned error: %v", err) + } + + gotBody, err := io.ReadAll(req.Body) + if err != nil { + t.Fatalf("cannot read body: %v", err) + } + if string(gotBody) != bodyContent { + t.Fatalf("expected body %q, got %q", bodyContent, string(gotBody)) + } + if req.Header.Get("X-Test") != "val" { + t.Fatalf("expected header set to val, got %q", req.Header.Get("X-Test")) + } +} + +func TestRequestBuilderInvalidURL(t *testing.T) { + b := NewRequestBuilder() + _, err := b.Build(context.Background(), http.MethodGet, ":", nil, nil) + if err == nil { + t.Fatal("expected error for invalid URL") + } +} diff --git a/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/internal/test/checks/checks.go b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/internal/test/checks/checks.go new file mode 100644 index 0000000..6bd0964 --- /dev/null +++ b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/internal/test/checks/checks.go @@ -0,0 +1,55 @@ +package checks + +import ( + "errors" + "testing" +) + +func NoError(t *testing.T, err error, message ...string) { + t.Helper() + if err != nil { + t.Error(err, message) + } +} + +func NoErrorF(t *testing.T, err error, message ...string) { + t.Helper() + if err != nil { + t.Fatal(err, message) + } +} + +func HasError(t *testing.T, err error, message ...string) { + t.Helper() + if err == nil { + t.Error(err, message) + } +} + +func ErrorIs(t *testing.T, err, target error, msg ...string) { + t.Helper() + if !errors.Is(err, target) { + t.Fatal(msg) + } +} + +func ErrorIsF(t *testing.T, err, target error, format string, msg ...string) { + t.Helper() + if !errors.Is(err, target) { + t.Fatalf(format, msg) + } +} + +func ErrorIsNot(t *testing.T, err, target error, msg ...string) { + t.Helper() + if errors.Is(err, target) { + t.Fatal(msg) + } +} + +func ErrorIsNotf(t *testing.T, err, target error, format string, msg ...string) { + t.Helper() + if errors.Is(err, target) { + t.Fatalf(format, msg) + } +} diff --git a/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/internal/test/failer.go b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/internal/test/failer.go new file mode 100644 index 0000000..10ca64e --- /dev/null +++ b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/internal/test/failer.go @@ -0,0 +1,21 @@ +package test + +import "errors" + +var ( + ErrTestErrorAccumulatorWriteFailed = errors.New("test error accumulator failed") +) + +type FailingErrorBuffer struct{} + +func (b *FailingErrorBuffer) Write(_ []byte) (n int, err error) { + return 0, ErrTestErrorAccumulatorWriteFailed +} + +func (b *FailingErrorBuffer) Len() int { + return 0 +} + +func (b *FailingErrorBuffer) Bytes() []byte { + return []byte{} +} diff --git a/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/internal/test/helpers.go b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/internal/test/helpers.go new file mode 100644 index 0000000..dc5fa66 --- /dev/null +++ b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/internal/test/helpers.go @@ -0,0 +1,43 @@ +package test + +import ( + "github.com/sashabaranov/go-openai/internal/test/checks" + + "net/http" + "os" + "testing" +) + +// CreateTestFile creates a fake file with "hello" as the content. +func CreateTestFile(t *testing.T, path string) { + file, err := os.Create(path) + checks.NoError(t, err, "failed to create file") + + if _, err = file.WriteString("hello"); err != nil { + t.Fatalf("failed to write to file %v", err) + } + file.Close() +} + +// TokenRoundTripper is a struct that implements the RoundTripper +// interface, specifically to handle the authentication token by adding a token +// to the request header. We need this because the API requires that each +// request include a valid API token in the headers for authentication and +// authorization. +type TokenRoundTripper struct { + Token string + Fallback http.RoundTripper +} + +// RoundTrip takes an *http.Request as input and returns an +// *http.Response and an error. +// +// It is expected to use the provided request to create a connection to an HTTP +// server and return the response, or an error if one occurred. The returned +// Response should have its Body closed. If the RoundTrip method returns an +// error, the Client's Get, Head, Post, and PostForm methods return the same +// error. +func (t *TokenRoundTripper) RoundTrip(req *http.Request) (*http.Response, error) { + req.Header.Set("Authorization", "Bearer "+t.Token) + return t.Fallback.RoundTrip(req) +} diff --git a/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/internal/test/server.go b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/internal/test/server.go new file mode 100644 index 0000000..127d4c1 --- /dev/null +++ b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/internal/test/server.go @@ -0,0 +1,56 @@ +package test + +import ( + "log" + "net/http" + "net/http/httptest" + "regexp" + "strings" +) + +const testAPI = "this-is-my-secure-token-do-not-steal!!" + +func GetTestToken() string { + return testAPI +} + +type ServerTest struct { + handlers map[string]handler +} +type handler func(w http.ResponseWriter, r *http.Request) + +func NewTestServer() *ServerTest { + return &ServerTest{handlers: make(map[string]handler)} +} + +func (ts *ServerTest) RegisterHandler(path string, handler handler) { + // to make the registered paths friendlier to a regex match in the route handler + // in OpenAITestServer + path = strings.ReplaceAll(path, "*", ".*") + ts.handlers[path] = handler +} + +// OpenAITestServer Creates a mocked OpenAI server which can pretend to handle requests during testing. +func (ts *ServerTest) OpenAITestServer() *httptest.Server { + return httptest.NewUnstartedServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) { + log.Printf("received a %s request at path %q\n", r.Method, r.URL.Path) + + // check auth + if r.Header.Get("Authorization") != "Bearer "+GetTestToken() && r.Header.Get("api-key") != GetTestToken() { + w.WriteHeader(http.StatusUnauthorized) + return + } + + // Handle /path/* routes. + // Note: the * is converted to a .* in register handler for proper regex handling + for route, handler := range ts.handlers { + // Adding ^ and $ to make path matching deterministic since go map iteration isn't ordered + pattern, _ := regexp.Compile("^" + route + "$") + if pattern.MatchString(r.URL.Path) { + handler(w, r) + return + } + } + http.Error(w, "the resource path doesn't exist", http.StatusNotFound) + })) +} diff --git a/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/internal/unmarshaler.go b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/internal/unmarshaler.go new file mode 100644 index 0000000..8828760 --- /dev/null +++ b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/internal/unmarshaler.go @@ -0,0 +1,15 @@ +package openai + +import ( + "encoding/json" +) + +type Unmarshaler interface { + Unmarshal(data []byte, v any) error +} + +type JSONUnmarshaler struct{} + +func (jm *JSONUnmarshaler) Unmarshal(data []byte, v any) error { + return json.Unmarshal(data, v) +} diff --git a/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/internal/unmarshaler_test.go b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/internal/unmarshaler_test.go new file mode 100644 index 0000000..d63eac7 --- /dev/null +++ b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/internal/unmarshaler_test.go @@ -0,0 +1,37 @@ +package openai_test + +import ( + "testing" + + openai "github.com/sashabaranov/go-openai/internal" + "github.com/sashabaranov/go-openai/internal/test/checks" +) + +func TestJSONUnmarshaler_Normal(t *testing.T) { + jm := &openai.JSONUnmarshaler{} + data := []byte(`{"key":"value"}`) + var v map[string]string + + err := jm.Unmarshal(data, &v) + checks.NoError(t, err) + if v["key"] != "value" { + t.Fatal("unmarshal result mismatch") + } +} + +func TestJSONUnmarshaler_InvalidJSON(t *testing.T) { + jm := &openai.JSONUnmarshaler{} + data := []byte(`{invalid}`) + var v map[string]interface{} + + err := jm.Unmarshal(data, &v) + checks.HasError(t, err, "should return error for invalid JSON") +} + +func TestJSONUnmarshaler_EmptyInput(t *testing.T) { + jm := &openai.JSONUnmarshaler{} + var v interface{} + + err := jm.Unmarshal(nil, &v) + checks.HasError(t, err, "should return error for nil input") +} diff --git a/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/jsonschema/json.go b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/jsonschema/json.go new file mode 100644 index 0000000..75e3b51 --- /dev/null +++ b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/jsonschema/json.go @@ -0,0 +1,235 @@ +// Package jsonschema provides very simple functionality for representing a JSON schema as a +// (nested) struct. This struct can be used with the chat completion "function call" feature. +// For more complicated schemas, it is recommended to use a dedicated JSON schema library +// and/or pass in the schema in []byte format. +package jsonschema + +import ( + "encoding/json" + "fmt" + "reflect" + "strconv" + "strings" +) + +type DataType string + +const ( + Object DataType = "object" + Number DataType = "number" + Integer DataType = "integer" + String DataType = "string" + Array DataType = "array" + Null DataType = "null" + Boolean DataType = "boolean" +) + +// Definition is a struct for describing a JSON Schema. +// It is fairly limited, and you may have better luck using a third-party library. +type Definition struct { + // Type specifies the data type of the schema. + Type DataType `json:"type,omitempty"` + // Description is the description of the schema. + Description string `json:"description,omitempty"` + // Enum is used to restrict a value to a fixed set of values. It must be an array with at least + // one element, where each element is unique. You will probably only use this with strings. + Enum []string `json:"enum,omitempty"` + // Properties describes the properties of an object, if the schema type is Object. + Properties map[string]Definition `json:"properties,omitempty"` + // Required specifies which properties are required, if the schema type is Object. + Required []string `json:"required,omitempty"` + // Items specifies which data type an array contains, if the schema type is Array. + Items *Definition `json:"items,omitempty"` + // AdditionalProperties is used to control the handling of properties in an object + // that are not explicitly defined in the properties section of the schema. example: + // additionalProperties: true + // additionalProperties: false + // additionalProperties: jsonschema.Definition{Type: jsonschema.String} + AdditionalProperties any `json:"additionalProperties,omitempty"` + // Whether the schema is nullable or not. + Nullable bool `json:"nullable,omitempty"` + + // Ref Reference to a definition in $defs or external schema. + Ref string `json:"$ref,omitempty"` + // Defs A map of reusable schema definitions. + Defs map[string]Definition `json:"$defs,omitempty"` +} + +func (d *Definition) MarshalJSON() ([]byte, error) { + if d.Properties == nil { + d.Properties = make(map[string]Definition) + } + type Alias Definition + return json.Marshal(struct { + Alias + }{ + Alias: (Alias)(*d), + }) +} + +func (d *Definition) Unmarshal(content string, v any) error { + return VerifySchemaAndUnmarshal(*d, []byte(content), v) +} + +func GenerateSchemaForType(v any) (*Definition, error) { + var defs = make(map[string]Definition) + def, err := reflectSchema(reflect.TypeOf(v), defs) + if err != nil { + return nil, err + } + // If the schema has a root $ref, resolve it by: + // 1. Extracting the key from the $ref. + // 2. Detaching the referenced definition from $defs. + // 3. Checking for self-references in the detached definition. + // - If a self-reference is found, restore the original $defs structure. + // 4. Flattening the referenced definition into the root schema. + // 5. Clearing the $ref field in the root schema. + if def.Ref != "" { + origRef := def.Ref + key := strings.TrimPrefix(origRef, "#/$defs/") + if root, ok := defs[key]; ok { + delete(defs, key) + root.Defs = defs + if containsRef(root, origRef) { + root.Defs = nil + defs[key] = root + } + *def = root + } + def.Ref = "" + } + def.Defs = defs + return def, nil +} + +func reflectSchema(t reflect.Type, defs map[string]Definition) (*Definition, error) { + var d Definition + switch t.Kind() { + case reflect.String: + d.Type = String + case reflect.Int, reflect.Int8, reflect.Int16, reflect.Int32, reflect.Int64, + reflect.Uint, reflect.Uint8, reflect.Uint16, reflect.Uint32, reflect.Uint64: + d.Type = Integer + case reflect.Float32, reflect.Float64: + d.Type = Number + case reflect.Bool: + d.Type = Boolean + case reflect.Slice, reflect.Array: + d.Type = Array + items, err := reflectSchema(t.Elem(), defs) + if err != nil { + return nil, err + } + d.Items = items + case reflect.Struct: + if t.Name() != "" { + if _, ok := defs[t.Name()]; !ok { + defs[t.Name()] = Definition{} + object, err := reflectSchemaObject(t, defs) + if err != nil { + return nil, err + } + defs[t.Name()] = *object + } + return &Definition{Ref: "#/$defs/" + t.Name()}, nil + } + d.Type = Object + d.AdditionalProperties = false + object, err := reflectSchemaObject(t, defs) + if err != nil { + return nil, err + } + d = *object + case reflect.Ptr: + definition, err := reflectSchema(t.Elem(), defs) + if err != nil { + return nil, err + } + d = *definition + case reflect.Invalid, reflect.Uintptr, reflect.Complex64, reflect.Complex128, + reflect.Chan, reflect.Func, reflect.Interface, reflect.Map, + reflect.UnsafePointer: + return nil, fmt.Errorf("unsupported type: %s", t.Kind().String()) + default: + } + return &d, nil +} + +func reflectSchemaObject(t reflect.Type, defs map[string]Definition) (*Definition, error) { + var d = Definition{ + Type: Object, + AdditionalProperties: false, + } + properties := make(map[string]Definition) + var requiredFields []string + for i := 0; i < t.NumField(); i++ { + field := t.Field(i) + if !field.IsExported() { + continue + } + jsonTag := field.Tag.Get("json") + var required = true + switch { + case jsonTag == "-": + continue + case jsonTag == "": + jsonTag = field.Name + case strings.HasSuffix(jsonTag, ",omitempty"): + jsonTag = strings.TrimSuffix(jsonTag, ",omitempty") + required = false + } + + item, err := reflectSchema(field.Type, defs) + if err != nil { + return nil, err + } + description := field.Tag.Get("description") + if description != "" { + item.Description = description + } + enum := field.Tag.Get("enum") + if enum != "" { + item.Enum = strings.Split(enum, ",") + } + + if n := field.Tag.Get("nullable"); n != "" { + nullable, _ := strconv.ParseBool(n) + item.Nullable = nullable + } + + properties[jsonTag] = *item + + if s := field.Tag.Get("required"); s != "" { + required, _ = strconv.ParseBool(s) + } + if required { + requiredFields = append(requiredFields, jsonTag) + } + } + d.Required = requiredFields + d.Properties = properties + return &d, nil +} + +func containsRef(def Definition, targetRef string) bool { + if def.Ref == targetRef { + return true + } + + for _, d := range def.Defs { + if containsRef(d, targetRef) { + return true + } + } + + for _, prop := range def.Properties { + if containsRef(prop, targetRef) { + return true + } + } + + if def.Items != nil && containsRef(*def.Items, targetRef) { + return true + } + return false +} diff --git a/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/jsonschema/json_test.go b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/jsonschema/json_test.go new file mode 100644 index 0000000..34f5d88 --- /dev/null +++ b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/jsonschema/json_test.go @@ -0,0 +1,670 @@ +package jsonschema_test + +import ( + "encoding/json" + "reflect" + "testing" + + "github.com/sashabaranov/go-openai/jsonschema" +) + +func TestDefinition_MarshalJSON(t *testing.T) { + tests := []struct { + name string + def jsonschema.Definition + want string + }{ + { + name: "Test with empty Definition", + def: jsonschema.Definition{}, + want: `{}`, + }, + { + name: "Test with Definition properties set", + def: jsonschema.Definition{ + Type: jsonschema.String, + Description: "A string type", + Properties: map[string]jsonschema.Definition{ + "name": { + Type: jsonschema.String, + }, + }, + }, + want: `{ + "type":"string", + "description":"A string type", + "properties":{ + "name":{ + "type":"string" + } + } + }`, + }, + { + name: "Test with nested Definition properties", + def: jsonschema.Definition{ + Type: jsonschema.Object, + Properties: map[string]jsonschema.Definition{ + "user": { + Type: jsonschema.Object, + Properties: map[string]jsonschema.Definition{ + "name": { + Type: jsonschema.String, + }, + "age": { + Type: jsonschema.Integer, + }, + }, + }, + }, + }, + want: `{ + "type":"object", + "properties":{ + "user":{ + "type":"object", + "properties":{ + "name":{ + "type":"string" + }, + "age":{ + "type":"integer" + } + } + } + } + }`, + }, + { + name: "Test with complex nested Definition", + def: jsonschema.Definition{ + Type: jsonschema.Object, + Properties: map[string]jsonschema.Definition{ + "user": { + Type: jsonschema.Object, + Properties: map[string]jsonschema.Definition{ + "name": { + Type: jsonschema.String, + }, + "age": { + Type: jsonschema.Integer, + }, + "address": { + Type: jsonschema.Object, + Properties: map[string]jsonschema.Definition{ + "city": { + Type: jsonschema.String, + }, + "country": { + Type: jsonschema.String, + }, + }, + }, + }, + }, + }, + }, + want: `{ + "type":"object", + "properties":{ + "user":{ + "type":"object", + "properties":{ + "name":{ + "type":"string" + }, + "age":{ + "type":"integer" + }, + "address":{ + "type":"object", + "properties":{ + "city":{ + "type":"string" + }, + "country":{ + "type":"string" + } + } + } + } + } + } + }`, + }, + { + name: "Test with Array type Definition", + def: jsonschema.Definition{ + Type: jsonschema.Array, + Items: &jsonschema.Definition{ + Type: jsonschema.String, + }, + Properties: map[string]jsonschema.Definition{ + "name": { + Type: jsonschema.String, + }, + }, + }, + want: `{ + "type":"array", + "items":{ + "type":"string" + }, + "properties":{ + "name":{ + "type":"string" + } + } + }`, + }, + } + + for _, tt := range tests { + t.Run(tt.name, func(t *testing.T) { + wantBytes := []byte(tt.want) + var want map[string]interface{} + err := json.Unmarshal(wantBytes, &want) + if err != nil { + t.Errorf("Failed to Unmarshal JSON: error = %v", err) + return + } + + got := structToMap(t, tt.def) + gotPtr := structToMap(t, &tt.def) + + if !reflect.DeepEqual(got, want) { + t.Errorf("MarshalJSON() got = %v, want %v", got, want) + } + if !reflect.DeepEqual(gotPtr, want) { + t.Errorf("MarshalJSON() gotPtr = %v, want %v", gotPtr, want) + } + }) + } +} + +type User struct { + ID int `json:"id,omitempty"` + Name string `json:"name,omitempty"` + Orders []*Order `json:"orders,omitempty"` +} + +type Order struct { + ID int `json:"id,omitempty"` + Amount float64 `json:"amount,omitempty"` + Buyer *User `json:"buyer,omitempty"` +} + +func TestStructToSchema(t *testing.T) { + type Tweet struct { + Text string `json:"text"` + } + + type Person struct { + Name string `json:"name,omitempty"` + Age int `json:"age,omitempty"` + Friends []Person `json:"friends,omitempty"` + Tweets []Tweet `json:"tweets,omitempty"` + } + + type MyStructuredResponse struct { + PascalCase string `json:"pascal_case" required:"true" description:"PascalCase"` + CamelCase string `json:"camel_case" required:"true" description:"CamelCase"` + KebabCase string `json:"kebab_case" required:"true" description:"KebabCase"` + SnakeCase string `json:"snake_case" required:"true" description:"SnakeCase"` + } + + tests := []struct { + name string + in any + want string + }{ + { + name: "Test with empty struct", + in: struct{}{}, + want: `{ + "type":"object", + "additionalProperties":false + }`, + }, + { + name: "Test with struct containing many fields", + in: struct { + Name string `json:"name"` + Age int `json:"age"` + Active bool `json:"active"` + Height float64 `json:"height"` + Cities []struct { + Name string `json:"name"` + State string `json:"state"` + } `json:"cities"` + }{ + Name: "John Doe", + Age: 30, + Cities: []struct { + Name string `json:"name"` + State string `json:"state"` + }{ + {Name: "New York", State: "NY"}, + {Name: "Los Angeles", State: "CA"}, + }, + }, + want: `{ + "type":"object", + "properties":{ + "name":{ + "type":"string" + }, + "age":{ + "type":"integer" + }, + "active":{ + "type":"boolean" + }, + "height":{ + "type":"number" + }, + "cities":{ + "type":"array", + "items":{ + "additionalProperties":false, + "type":"object", + "properties":{ + "name":{ + "type":"string" + }, + "state":{ + "type":"string" + } + }, + "required":["name","state"] + } + } + }, + "required":["name","age","active","height","cities"], + "additionalProperties":false + }`, + }, + { + name: "Test with description tag", + in: struct { + Name string `json:"name" description:"The name of the person"` + }{ + Name: "John Doe", + }, + want: `{ + "type":"object", + "properties":{ + "name":{ + "type":"string", + "description":"The name of the person" + } + }, + "required":["name"], + "additionalProperties":false + }`, + }, + { + name: "Test with required tag", + in: struct { + Name string `json:"name" required:"false"` + }{ + Name: "John Doe", + }, + want: `{ + "type":"object", + "properties":{ + "name":{ + "type":"string" + } + }, + "additionalProperties":false + }`, + }, + { + name: "Test with enum tag", + in: struct { + Color string `json:"color" enum:"red,green,blue"` + }{ + Color: "red", + }, + want: `{ + "type":"object", + "properties":{ + "color":{ + "type":"string", + "enum":["red","green","blue"] + } + }, + "required":["color"], + "additionalProperties":false + }`, + }, + { + name: "Test with nullable tag", + in: struct { + Name *string `json:"name" nullable:"true"` + }{ + Name: nil, + }, + want: `{ + + "type":"object", + "properties":{ + "name":{ + "type":"string", + "nullable":true + } + }, + "required":["name"], + "additionalProperties":false + }`, + }, + { + name: "Test with exclude mark", + in: struct { + Name string `json:"-"` + }{ + Name: "Name", + }, + want: `{ + "type":"object", + "additionalProperties":false + }`, + }, + { + name: "Test with no json tag", + in: struct { + Name string + }{ + Name: "", + }, + want: `{ + "type":"object", + "properties":{ + "Name":{ + "type":"string" + } + }, + "required":["Name"], + "additionalProperties":false + }`, + }, + { + name: "Test with omitempty tag", + in: struct { + Name string `json:"name,omitempty"` + }{ + Name: "", + }, + want: `{ + "type":"object", + "properties":{ + "name":{ + "type":"string" + } + }, + "additionalProperties":false + }`, + }, + { + name: "Test with $ref and $defs", + in: struct { + Person Person `json:"person"` + Tweets []Tweet `json:"tweets"` + }{}, + want: `{ + "type" : "object", + "properties" : { + "person" : { + "$ref" : "#/$defs/Person" + }, + "tweets" : { + "type" : "array", + "items" : { + "$ref" : "#/$defs/Tweet" + } + } + }, + "required" : [ "person", "tweets" ], + "additionalProperties" : false, + "$defs" : { + "Person" : { + "type" : "object", + "properties" : { + "age" : { + "type" : "integer" + }, + "friends" : { + "type" : "array", + "items" : { + "$ref" : "#/$defs/Person" + } + }, + "name" : { + "type" : "string" + }, + "tweets" : { + "type" : "array", + "items" : { + "$ref" : "#/$defs/Tweet" + } + } + }, + "additionalProperties" : false + }, + "Tweet" : { + "type" : "object", + "properties" : { + "text" : { + "type" : "string" + } + }, + "required" : [ "text" ], + "additionalProperties" : false + } + } +}`, + }, + { + name: "Test Person", + in: Person{}, + want: `{ + "type": "object", + "properties": { + "age": { + "type": "integer" + }, + "friends": { + "type": "array", + "items": { + "$ref": "#/$defs/Person" + } + }, + "name": { + "type": "string" + }, + "tweets": { + "type": "array", + "items": { + "$ref": "#/$defs/Tweet" + } + } + }, + "additionalProperties": false, + "$defs": { + "Person": { + "type": "object", + "properties": { + "age": { + "type": "integer" + }, + "friends": { + "type": "array", + "items": { + "$ref": "#/$defs/Person" + } + }, + "name": { + "type": "string" + }, + "tweets": { + "type": "array", + "items": { + "$ref": "#/$defs/Tweet" + } + } + }, + "additionalProperties": false + }, + "Tweet": { + "type": "object", + "properties": { + "text": { + "type": "string" + } + }, + "required": [ + "text" + ], + "additionalProperties": false + } + } +}`, + }, + { + name: "Test MyStructuredResponse", + in: MyStructuredResponse{}, + want: `{ + "type": "object", + "properties": { + "camel_case": { + "type": "string", + "description": "CamelCase" + }, + "kebab_case": { + "type": "string", + "description": "KebabCase" + }, + "pascal_case": { + "type": "string", + "description": "PascalCase" + }, + "snake_case": { + "type": "string", + "description": "SnakeCase" + } + }, + "required": [ + "pascal_case", + "camel_case", + "kebab_case", + "snake_case" + ], + "additionalProperties": false +}`, + }, + { + name: "Test User", + in: User{}, + want: `{ + "type": "object", + "properties": { + "id": { + "type": "integer" + }, + "name": { + "type": "string" + }, + "orders": { + "type": "array", + "items": { + "$ref": "#/$defs/Order" + } + } + }, + "additionalProperties": false, + "$defs": { + "Order": { + "type": "object", + "properties": { + "amount": { + "type": "number" + }, + "buyer": { + "$ref": "#/$defs/User" + }, + "id": { + "type": "integer" + } + }, + "additionalProperties": false + }, + "User": { + "type": "object", + "properties": { + "id": { + "type": "integer" + }, + "name": { + "type": "string" + }, + "orders": { + "type": "array", + "items": { + "$ref": "#/$defs/Order" + } + } + }, + "additionalProperties": false + } + } +}`, + }, + } + + for _, tt := range tests { + t.Run(tt.name, func(t *testing.T) { + wantBytes := []byte(tt.want) + + schema, err := jsonschema.GenerateSchemaForType(tt.in) + if err != nil { + t.Errorf("Failed to generate schema: error = %v", err) + return + } + + var want map[string]interface{} + err = json.Unmarshal(wantBytes, &want) + if err != nil { + t.Errorf("Failed to Unmarshal JSON: error = %v", err) + return + } + + got := structToMap(t, schema) + gotPtr := structToMap(t, &schema) + + if !reflect.DeepEqual(got, want) { + t.Errorf("MarshalJSON() got = %v, want %v", got, want) + } + if !reflect.DeepEqual(gotPtr, want) { + t.Errorf("MarshalJSON() gotPtr = %v, want %v", gotPtr, want) + } + }) + } +} + +func structToMap(t *testing.T, v any) map[string]any { + t.Helper() + gotBytes, err := json.Marshal(v) + if err != nil { + t.Errorf("Failed to Marshal JSON: error = %v", err) + return nil + } + + var got map[string]interface{} + err = json.Unmarshal(gotBytes, &got) + if err != nil { + t.Errorf("Failed to Unmarshal JSON: error = %v", err) + return nil + } + return got +} diff --git a/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/jsonschema/validate.go b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/jsonschema/validate.go new file mode 100644 index 0000000..1bd2f80 --- /dev/null +++ b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/jsonschema/validate.go @@ -0,0 +1,140 @@ +package jsonschema + +import ( + "encoding/json" + "errors" +) + +func CollectDefs(def Definition) map[string]Definition { + result := make(map[string]Definition) + collectDefsRecursive(def, result, "#") + return result +} + +func collectDefsRecursive(def Definition, result map[string]Definition, prefix string) { + for k, v := range def.Defs { + path := prefix + "/$defs/" + k + result[path] = v + collectDefsRecursive(v, result, path) + } + for k, sub := range def.Properties { + collectDefsRecursive(sub, result, prefix+"/properties/"+k) + } + if def.Items != nil { + collectDefsRecursive(*def.Items, result, prefix) + } +} + +func VerifySchemaAndUnmarshal(schema Definition, content []byte, v any) error { + var data any + err := json.Unmarshal(content, &data) + if err != nil { + return err + } + if !Validate(schema, data, WithDefs(CollectDefs(schema))) { + return errors.New("data validation failed against the provided schema") + } + return json.Unmarshal(content, &v) +} + +type validateArgs struct { + Defs map[string]Definition +} + +type ValidateOption func(*validateArgs) + +func WithDefs(defs map[string]Definition) ValidateOption { + return func(option *validateArgs) { + option.Defs = defs + } +} + +func Validate(schema Definition, data any, opts ...ValidateOption) bool { + args := validateArgs{} + for _, opt := range opts { + opt(&args) + } + if len(opts) == 0 { + args.Defs = CollectDefs(schema) + } + switch schema.Type { + case Object: + return validateObject(schema, data, args.Defs) + case Array: + return validateArray(schema, data, args.Defs) + case String: + v, ok := data.(string) + if ok && len(schema.Enum) > 0 { + return contains(schema.Enum, v) + } + return ok + case Number: // float64 and int + _, ok := data.(float64) + if !ok { + _, ok = data.(int) + } + return ok + case Boolean: + _, ok := data.(bool) + return ok + case Integer: + // Golang unmarshals all numbers as float64, so we need to check if the float64 is an integer + if num, ok := data.(float64); ok { + return num == float64(int64(num)) + } + _, ok := data.(int) + return ok + case Null: + return data == nil + default: + if schema.Ref != "" && args.Defs != nil { + if v, ok := args.Defs[schema.Ref]; ok { + return Validate(v, data, WithDefs(args.Defs)) + } + } + return false + } +} + +func validateObject(schema Definition, data any, defs map[string]Definition) bool { + dataMap, ok := data.(map[string]any) + if !ok { + return false + } + for _, field := range schema.Required { + if _, exists := dataMap[field]; !exists { + return false + } + } + for key, valueSchema := range schema.Properties { + value, exists := dataMap[key] + if exists && !Validate(valueSchema, value, WithDefs(defs)) { + return false + } else if !exists && contains(schema.Required, key) { + return false + } + } + return true +} + +func validateArray(schema Definition, data any, defs map[string]Definition) bool { + dataArray, ok := data.([]any) + if !ok { + return false + } + for _, item := range dataArray { + if !Validate(*schema.Items, item, WithDefs(defs)) { + return false + } + } + return true +} + +func contains[S ~[]E, E comparable](s S, v E) bool { + for i := range s { + if v == s[i] { + return true + } + } + return false +} diff --git a/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/jsonschema/validate_test.go b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/jsonschema/validate_test.go new file mode 100644 index 0000000..aefdf40 --- /dev/null +++ b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/jsonschema/validate_test.go @@ -0,0 +1,347 @@ +package jsonschema_test + +import ( + "reflect" + "testing" + + "github.com/sashabaranov/go-openai/jsonschema" +) + +func Test_Validate(t *testing.T) { + type args struct { + data any + schema jsonschema.Definition + } + tests := []struct { + name string + args args + want bool + }{ + // string integer number boolean + {"", args{data: "ABC", schema: jsonschema.Definition{Type: jsonschema.String}}, true}, + {"", args{data: 123, schema: jsonschema.Definition{Type: jsonschema.String}}, false}, + {"", args{data: 123, schema: jsonschema.Definition{Type: jsonschema.Integer}}, true}, + {"", args{data: 123.4, schema: jsonschema.Definition{Type: jsonschema.Integer}}, false}, + {"", args{data: "ABC", schema: jsonschema.Definition{Type: jsonschema.Number}}, false}, + {"", args{data: 123, schema: jsonschema.Definition{Type: jsonschema.Number}}, true}, + {"", args{data: false, schema: jsonschema.Definition{Type: jsonschema.Boolean}}, true}, + {"", args{data: 123, schema: jsonschema.Definition{Type: jsonschema.Boolean}}, false}, + {"", args{data: nil, schema: jsonschema.Definition{Type: jsonschema.Null}}, true}, + {"", args{data: 0, schema: jsonschema.Definition{Type: jsonschema.Null}}, false}, + // array + {"", args{data: []any{"a", "b", "c"}, schema: jsonschema.Definition{ + Type: jsonschema.Array, Items: &jsonschema.Definition{Type: jsonschema.String}}, + }, true}, + {"", args{data: []any{1, 2, 3}, schema: jsonschema.Definition{ + Type: jsonschema.Array, Items: &jsonschema.Definition{Type: jsonschema.String}}, + }, false}, + {"", args{data: []any{1, 2, 3}, schema: jsonschema.Definition{ + Type: jsonschema.Array, Items: &jsonschema.Definition{Type: jsonschema.Integer}}, + }, true}, + {"", args{data: []any{1, 2, 3.4}, schema: jsonschema.Definition{ + Type: jsonschema.Array, Items: &jsonschema.Definition{Type: jsonschema.Integer}}, + }, false}, + // object + {"", args{data: map[string]any{ + "string": "abc", + "integer": 123, + "number": 123.4, + "boolean": false, + "array": []any{1, 2, 3}, + }, schema: jsonschema.Definition{Type: jsonschema.Object, Properties: map[string]jsonschema.Definition{ + "string": {Type: jsonschema.String}, + "integer": {Type: jsonschema.Integer}, + "number": {Type: jsonschema.Number}, + "boolean": {Type: jsonschema.Boolean}, + "array": {Type: jsonschema.Array, Items: &jsonschema.Definition{Type: jsonschema.Number}}, + }, + Required: []string{"string"}, + }}, true}, + {"", args{data: map[string]any{ + "integer": 123, + "number": 123.4, + "boolean": false, + "array": []any{1, 2, 3}, + }, schema: jsonschema.Definition{Type: jsonschema.Object, Properties: map[string]jsonschema.Definition{ + "string": {Type: jsonschema.String}, + "integer": {Type: jsonschema.Integer}, + "number": {Type: jsonschema.Number}, + "boolean": {Type: jsonschema.Boolean}, + "array": {Type: jsonschema.Array, Items: &jsonschema.Definition{Type: jsonschema.Number}}, + }, + Required: []string{"string"}, + }}, false}, + { + "test schema with ref and defs", args{data: map[string]any{ + "person": map[string]any{ + "name": "John", + "gender": "male", + "age": 28, + "profile": map[string]any{ + "full_name": "John Doe", + }, + }, + }, schema: jsonschema.Definition{ + Type: jsonschema.Object, + Properties: map[string]jsonschema.Definition{ + "person": {Ref: "#/$defs/Person"}, + }, + Required: []string{"person"}, + Defs: map[string]jsonschema.Definition{ + "Person": { + Type: jsonschema.Object, + Properties: map[string]jsonschema.Definition{ + "name": {Type: jsonschema.String}, + "gender": {Type: jsonschema.String, Enum: []string{"male", "female", "unknown"}}, + "age": {Type: jsonschema.Integer}, + "profile": {Ref: "#/$defs/Person/$defs/Profile"}, + "tweets": {Type: jsonschema.Array, Items: &jsonschema.Definition{Ref: "#/$defs/Tweet"}}, + }, + Required: []string{"name", "gender", "age", "profile"}, + Defs: map[string]jsonschema.Definition{ + "Profile": { + Type: jsonschema.Object, + Properties: map[string]jsonschema.Definition{ + "full_name": {Type: jsonschema.String}, + }, + }, + }, + }, + "Tweet": { + Type: jsonschema.Object, + Properties: map[string]jsonschema.Definition{ + "text": {Type: jsonschema.String}, + "person": {Ref: "#/$defs/Person"}, + }, + }, + }, + }}, true}, + { + "test enum invalid value", args{data: map[string]any{ + "person": map[string]any{ + "name": "John", + "gender": "other", + "age": 28, + "profile": map[string]any{ + "full_name": "John Doe", + }, + }, + }, schema: jsonschema.Definition{ + Type: jsonschema.Object, + Properties: map[string]jsonschema.Definition{ + "person": {Ref: "#/$defs/Person"}, + }, + Required: []string{"person"}, + Defs: map[string]jsonschema.Definition{ + "Person": { + Type: jsonschema.Object, + Properties: map[string]jsonschema.Definition{ + "name": {Type: jsonschema.String}, + "gender": {Type: jsonschema.String, Enum: []string{"male", "female", "unknown"}}, + "age": {Type: jsonschema.Integer}, + "profile": {Ref: "#/$defs/Person/$defs/Profile"}, + "tweets": {Type: jsonschema.Array, Items: &jsonschema.Definition{Ref: "#/$defs/Tweet"}}, + }, + Required: []string{"name", "gender", "age", "profile"}, + Defs: map[string]jsonschema.Definition{ + "Profile": { + Type: jsonschema.Object, + Properties: map[string]jsonschema.Definition{ + "full_name": {Type: jsonschema.String}, + }, + }, + }, + }, + "Tweet": { + Type: jsonschema.Object, + Properties: map[string]jsonschema.Definition{ + "text": {Type: jsonschema.String}, + "person": {Ref: "#/$defs/Person"}, + }, + }, + }, + }}, false}, + } + for _, tt := range tests { + t.Run(tt.name, func(t *testing.T) { + if got := jsonschema.Validate(tt.args.schema, tt.args.data); got != tt.want { + t.Errorf("Validate() = %v, want %v", got, tt.want) + } + }) + } +} + +func TestUnmarshal(t *testing.T) { + type args struct { + schema jsonschema.Definition + content []byte + v any + } + tests := []struct { + name string + args args + wantErr bool + }{ + {"", args{ + schema: jsonschema.Definition{ + Type: jsonschema.Object, + Properties: map[string]jsonschema.Definition{ + "string": {Type: jsonschema.String}, + "number": {Type: jsonschema.Number}, + }, + }, + content: []byte(`{"string":"abc","number":123.4}`), + v: &struct { + String string `json:"string"` + Number float64 `json:"number"` + }{}, + }, false}, + {"", args{ + schema: jsonschema.Definition{ + Type: jsonschema.Object, + Properties: map[string]jsonschema.Definition{ + "string": {Type: jsonschema.String}, + "number": {Type: jsonschema.Number}, + }, + Required: []string{"string", "number"}, + }, + content: []byte(`{"string":"abc"}`), + v: struct { + String string `json:"string"` + Number float64 `json:"number"` + }{}, + }, true}, + {"validate integer", args{ + schema: jsonschema.Definition{ + Type: jsonschema.Object, + Properties: map[string]jsonschema.Definition{ + "string": {Type: jsonschema.String}, + "integer": {Type: jsonschema.Integer}, + }, + Required: []string{"string", "integer"}, + }, + content: []byte(`{"string":"abc","integer":123}`), + v: &struct { + String string `json:"string"` + Integer int `json:"integer"` + }{}, + }, false}, + {"validate integer failed", args{ + schema: jsonschema.Definition{ + Type: jsonschema.Object, + Properties: map[string]jsonschema.Definition{ + "string": {Type: jsonschema.String}, + "integer": {Type: jsonschema.Integer}, + }, + Required: []string{"string", "integer"}, + }, + content: []byte(`{"string":"abc","integer":123.4}`), + v: &struct { + String string `json:"string"` + Integer int `json:"integer"` + }{}, + }, true}, + } + for _, tt := range tests { + t.Run(tt.name, func(t *testing.T) { + err := jsonschema.VerifySchemaAndUnmarshal(tt.args.schema, tt.args.content, tt.args.v) + if (err != nil) != tt.wantErr { + t.Errorf("Unmarshal() error = %v, wantErr %v", err, tt.wantErr) + } + }) + } +} + +func TestCollectDefs(t *testing.T) { + type args struct { + schema jsonschema.Definition + } + tests := []struct { + name string + args args + want map[string]jsonschema.Definition + }{ + { + "test collect defs", + args{ + schema: jsonschema.Definition{ + Type: jsonschema.Object, + Properties: map[string]jsonschema.Definition{ + "person": {Ref: "#/$defs/Person"}, + }, + Required: []string{"person"}, + Defs: map[string]jsonschema.Definition{ + "Person": { + Type: jsonschema.Object, + Properties: map[string]jsonschema.Definition{ + "name": {Type: jsonschema.String}, + "gender": {Type: jsonschema.String, Enum: []string{"male", "female", "unknown"}}, + "age": {Type: jsonschema.Integer}, + "profile": {Ref: "#/$defs/Person/$defs/Profile"}, + "tweets": {Type: jsonschema.Array, Items: &jsonschema.Definition{Ref: "#/$defs/Tweet"}}, + }, + Required: []string{"name", "gender", "age", "profile"}, + Defs: map[string]jsonschema.Definition{ + "Profile": { + Type: jsonschema.Object, + Properties: map[string]jsonschema.Definition{ + "full_name": {Type: jsonschema.String}, + }, + }, + }, + }, + "Tweet": { + Type: jsonschema.Object, + Properties: map[string]jsonschema.Definition{ + "text": {Type: jsonschema.String}, + "person": {Ref: "#/$defs/Person"}, + }, + }, + }, + }, + }, + map[string]jsonschema.Definition{ + "#/$defs/Person": { + Type: jsonschema.Object, + Properties: map[string]jsonschema.Definition{ + "name": {Type: jsonschema.String}, + "gender": {Type: jsonschema.String, Enum: []string{"male", "female", "unknown"}}, + "age": {Type: jsonschema.Integer}, + "profile": {Ref: "#/$defs/Person/$defs/Profile"}, + "tweets": {Type: jsonschema.Array, Items: &jsonschema.Definition{Ref: "#/$defs/Tweet"}}, + }, + Required: []string{"name", "gender", "age", "profile"}, + Defs: map[string]jsonschema.Definition{ + "Profile": { + Type: jsonschema.Object, + Properties: map[string]jsonschema.Definition{ + "full_name": {Type: jsonschema.String}, + }, + }, + }, + }, + "#/$defs/Person/$defs/Profile": { + Type: jsonschema.Object, + Properties: map[string]jsonschema.Definition{ + "full_name": {Type: jsonschema.String}, + }, + }, + "#/$defs/Tweet": { + Type: jsonschema.Object, + Properties: map[string]jsonschema.Definition{ + "text": {Type: jsonschema.String}, + "person": {Ref: "#/$defs/Person"}, + }, + }, + }, + }, + } + for _, tt := range tests { + t.Run(tt.name, func(t *testing.T) { + got := jsonschema.CollectDefs(tt.args.schema) + if !reflect.DeepEqual(got, tt.want) { + t.Errorf("CollectDefs() = %v, want %v", got, tt.want) + } + }) + } +} diff --git a/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/messages.go b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/messages.go new file mode 100644 index 0000000..3852d2e --- /dev/null +++ b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/messages.go @@ -0,0 +1,224 @@ +package openai + +import ( + "context" + "fmt" + "net/http" + "net/url" +) + +const ( + messagesSuffix = "messages" +) + +type Message struct { + ID string `json:"id"` + Object string `json:"object"` + CreatedAt int `json:"created_at"` + ThreadID string `json:"thread_id"` + Role string `json:"role"` + Content []MessageContent `json:"content"` + FileIds []string `json:"file_ids"` //nolint:revive //backwards-compatibility + AssistantID *string `json:"assistant_id,omitempty"` + RunID *string `json:"run_id,omitempty"` + Metadata map[string]any `json:"metadata"` + + httpHeader +} + +type MessagesList struct { + Messages []Message `json:"data"` + + Object string `json:"object"` + FirstID *string `json:"first_id"` + LastID *string `json:"last_id"` + HasMore bool `json:"has_more"` + + httpHeader +} + +type MessageContent struct { + Type string `json:"type"` + Text *MessageText `json:"text,omitempty"` + ImageFile *ImageFile `json:"image_file,omitempty"` + ImageURL *ImageURL `json:"image_url,omitempty"` +} +type MessageText struct { + Value string `json:"value"` + Annotations []any `json:"annotations"` +} + +type ImageFile struct { + FileID string `json:"file_id"` +} + +type ImageURL struct { + URL string `json:"url"` + Detail string `json:"detail"` +} + +type MessageRequest struct { + Role string `json:"role"` + Content string `json:"content"` + FileIds []string `json:"file_ids,omitempty"` //nolint:revive // backwards-compatibility + Metadata map[string]any `json:"metadata,omitempty"` + Attachments []ThreadAttachment `json:"attachments,omitempty"` +} + +type MessageFile struct { + ID string `json:"id"` + Object string `json:"object"` + CreatedAt int `json:"created_at"` + MessageID string `json:"message_id"` + + httpHeader +} + +type MessageFilesList struct { + MessageFiles []MessageFile `json:"data"` + + httpHeader +} + +type MessageDeletionStatus struct { + ID string `json:"id"` + Object string `json:"object"` + Deleted bool `json:"deleted"` + + httpHeader +} + +// CreateMessage creates a new message. +func (c *Client) CreateMessage(ctx context.Context, threadID string, request MessageRequest) (msg Message, err error) { + urlSuffix := fmt.Sprintf("/threads/%s/%s", threadID, messagesSuffix) + req, err := c.newRequest(ctx, http.MethodPost, c.fullURL(urlSuffix), withBody(request), + withBetaAssistantVersion(c.config.AssistantVersion)) + if err != nil { + return + } + + err = c.sendRequest(req, &msg) + return +} + +// ListMessage fetches all messages in the thread. +func (c *Client) ListMessage(ctx context.Context, threadID string, + limit *int, + order *string, + after *string, + before *string, + runID *string, +) (messages MessagesList, err error) { + urlValues := url.Values{} + if limit != nil { + urlValues.Add("limit", fmt.Sprintf("%d", *limit)) + } + if order != nil { + urlValues.Add("order", *order) + } + if after != nil { + urlValues.Add("after", *after) + } + if before != nil { + urlValues.Add("before", *before) + } + if runID != nil { + urlValues.Add("run_id", *runID) + } + + encodedValues := "" + if len(urlValues) > 0 { + encodedValues = "?" + urlValues.Encode() + } + + urlSuffix := fmt.Sprintf("/threads/%s/%s%s", threadID, messagesSuffix, encodedValues) + req, err := c.newRequest(ctx, http.MethodGet, c.fullURL(urlSuffix), + withBetaAssistantVersion(c.config.AssistantVersion)) + if err != nil { + return + } + + err = c.sendRequest(req, &messages) + return +} + +// RetrieveMessage retrieves a Message. +func (c *Client) RetrieveMessage( + ctx context.Context, + threadID, messageID string, +) (msg Message, err error) { + urlSuffix := fmt.Sprintf("/threads/%s/%s/%s", threadID, messagesSuffix, messageID) + req, err := c.newRequest(ctx, http.MethodGet, c.fullURL(urlSuffix), + withBetaAssistantVersion(c.config.AssistantVersion)) + if err != nil { + return + } + + err = c.sendRequest(req, &msg) + return +} + +// ModifyMessage modifies a message. +func (c *Client) ModifyMessage( + ctx context.Context, + threadID, messageID string, + metadata map[string]string, +) (msg Message, err error) { + urlSuffix := fmt.Sprintf("/threads/%s/%s/%s", threadID, messagesSuffix, messageID) + req, err := c.newRequest(ctx, http.MethodPost, c.fullURL(urlSuffix), + withBody(map[string]any{"metadata": metadata}), withBetaAssistantVersion(c.config.AssistantVersion)) + if err != nil { + return + } + + err = c.sendRequest(req, &msg) + return +} + +// RetrieveMessageFile fetches a message file. +func (c *Client) RetrieveMessageFile( + ctx context.Context, + threadID, messageID, fileID string, +) (file MessageFile, err error) { + urlSuffix := fmt.Sprintf("/threads/%s/%s/%s/files/%s", threadID, messagesSuffix, messageID, fileID) + req, err := c.newRequest(ctx, http.MethodGet, c.fullURL(urlSuffix), + withBetaAssistantVersion(c.config.AssistantVersion)) + if err != nil { + return + } + + err = c.sendRequest(req, &file) + return +} + +// ListMessageFiles fetches all files attached to a message. +func (c *Client) ListMessageFiles( + ctx context.Context, + threadID, messageID string, +) (files MessageFilesList, err error) { + urlSuffix := fmt.Sprintf("/threads/%s/%s/%s/files", threadID, messagesSuffix, messageID) + req, err := c.newRequest(ctx, http.MethodGet, c.fullURL(urlSuffix), + withBetaAssistantVersion(c.config.AssistantVersion)) + if err != nil { + return + } + + err = c.sendRequest(req, &files) + return +} + +// DeleteMessage deletes a message.. +func (c *Client) DeleteMessage( + ctx context.Context, + threadID, messageID string, +) (status MessageDeletionStatus, err error) { + urlSuffix := fmt.Sprintf("/threads/%s/%s/%s", threadID, messagesSuffix, messageID) + req, err := c.newRequest(ctx, http.MethodDelete, c.fullURL(urlSuffix), + withBetaAssistantVersion(c.config.AssistantVersion)) + if err != nil { + return + } + + err = c.sendRequest(req, &status) + return +} diff --git a/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/messages_test.go b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/messages_test.go new file mode 100644 index 0000000..b25755f --- /dev/null +++ b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/messages_test.go @@ -0,0 +1,272 @@ +package openai_test + +import ( + "context" + "encoding/json" + "fmt" + "net/http" + "testing" + + "github.com/sashabaranov/go-openai" + "github.com/sashabaranov/go-openai/internal/test" + "github.com/sashabaranov/go-openai/internal/test/checks" +) + +var emptyStr = "" + +func setupServerForTestMessage(t *testing.T, server *test.ServerTest) { + threadID := "thread_abc123" + messageID := "msg_abc123" + fileID := "file_abc123" + + server.RegisterHandler( + "/v1/threads/"+threadID+"/messages/"+messageID+"/files/"+fileID, + func(w http.ResponseWriter, r *http.Request) { + switch r.Method { + case http.MethodGet: + resBytes, _ := json.Marshal( + openai.MessageFile{ + ID: fileID, + Object: "thread.message.file", + CreatedAt: 1699061776, + MessageID: messageID, + }) + fmt.Fprintln(w, string(resBytes)) + default: + t.Fatalf("unsupported messages http method: %s", r.Method) + } + }, + ) + + server.RegisterHandler( + "/v1/threads/"+threadID+"/messages/"+messageID+"/files", + func(w http.ResponseWriter, r *http.Request) { + switch r.Method { + case http.MethodGet: + resBytes, _ := json.Marshal( + openai.MessageFilesList{MessageFiles: []openai.MessageFile{{ + ID: fileID, + Object: "thread.message.file", + CreatedAt: 0, + MessageID: messageID, + }}}) + fmt.Fprintln(w, string(resBytes)) + default: + t.Fatalf("unsupported messages http method: %s", r.Method) + } + }, + ) + + server.RegisterHandler( + "/v1/threads/"+threadID+"/messages/"+messageID, + func(w http.ResponseWriter, r *http.Request) { + switch r.Method { + case http.MethodPost: + metadata := map[string]any{} + err := json.NewDecoder(r.Body).Decode(&metadata) + checks.NoError(t, err, "unable to decode metadata in modify message call") + payload, ok := metadata["metadata"].(map[string]any) + if !ok { + t.Fatalf("metadata payload improperly wrapped %+v", metadata) + } + + resBytes, _ := json.Marshal( + openai.Message{ + ID: messageID, + Object: "thread.message", + CreatedAt: 1234567890, + ThreadID: threadID, + Role: "user", + Content: []openai.MessageContent{{ + Type: "text", + Text: &openai.MessageText{ + Value: "How does AI work?", + Annotations: nil, + }, + }}, + FileIds: nil, + AssistantID: &emptyStr, + RunID: &emptyStr, + Metadata: payload, + }) + + fmt.Fprintln(w, string(resBytes)) + case http.MethodGet: + resBytes, _ := json.Marshal( + openai.Message{ + ID: messageID, + Object: "thread.message", + CreatedAt: 1234567890, + ThreadID: threadID, + Role: "user", + Content: []openai.MessageContent{{ + Type: "text", + Text: &openai.MessageText{ + Value: "How does AI work?", + Annotations: nil, + }, + }}, + FileIds: nil, + AssistantID: &emptyStr, + RunID: &emptyStr, + Metadata: nil, + }) + fmt.Fprintln(w, string(resBytes)) + case http.MethodDelete: + resBytes, _ := json.Marshal(openai.MessageDeletionStatus{ + ID: messageID, + Object: "thread.message.deleted", + Deleted: true, + }) + fmt.Fprintln(w, string(resBytes)) + default: + t.Fatalf("unsupported messages http method: %s", r.Method) + } + }, + ) + + server.RegisterHandler( + "/v1/threads/"+threadID+"/messages", + func(w http.ResponseWriter, r *http.Request) { + switch r.Method { + case http.MethodPost: + resBytes, _ := json.Marshal(openai.Message{ + ID: messageID, + Object: "thread.message", + CreatedAt: 1234567890, + ThreadID: threadID, + Role: "user", + Content: []openai.MessageContent{{ + Type: "text", + Text: &openai.MessageText{ + Value: "How does AI work?", + Annotations: nil, + }, + }}, + FileIds: nil, + AssistantID: &emptyStr, + RunID: &emptyStr, + Metadata: nil, + }) + fmt.Fprintln(w, string(resBytes)) + case http.MethodGet: + resBytes, _ := json.Marshal(openai.MessagesList{ + Object: "list", + Messages: []openai.Message{{ + ID: messageID, + Object: "thread.message", + CreatedAt: 1234567890, + ThreadID: threadID, + Role: "user", + Content: []openai.MessageContent{{ + Type: "text", + Text: &openai.MessageText{ + Value: "How does AI work?", + Annotations: nil, + }, + }}, + FileIds: nil, + AssistantID: &emptyStr, + RunID: &emptyStr, + Metadata: nil, + }}, + FirstID: &messageID, + LastID: &messageID, + HasMore: false, + }) + fmt.Fprintln(w, string(resBytes)) + default: + t.Fatalf("unsupported messages http method: %s", r.Method) + } + }, + ) +} + +// TestMessages Tests the messages endpoint of the API using the mocked server. +func TestMessages(t *testing.T) { + threadID := "thread_abc123" + messageID := "msg_abc123" + fileID := "file_abc123" + + client, server, teardown := setupOpenAITestServer() + defer teardown() + + setupServerForTestMessage(t, server) + ctx := context.Background() + + // static assertion of return type + var msg openai.Message + msg, err := client.CreateMessage(ctx, threadID, openai.MessageRequest{ + Role: "user", + Content: "How does AI work?", + FileIds: nil, + Metadata: nil, + }) + checks.NoError(t, err, "CreateMessage error") + if msg.ID != messageID { + t.Fatalf("unexpected message id: '%s'", msg.ID) + } + + var msgs openai.MessagesList + msgs, err = client.ListMessage(ctx, threadID, nil, nil, nil, nil, nil) + checks.NoError(t, err, "ListMessages error") + if len(msgs.Messages) != 1 { + t.Fatalf("unexpected length of fetched messages") + } + + // with pagination options set + limit := 1 + order := "desc" + after := "obj_foo" + before := "obj_bar" + runID := "run_abc123" + msgs, err = client.ListMessage(ctx, threadID, &limit, &order, &after, &before, &runID) + checks.NoError(t, err, "ListMessages error") + if len(msgs.Messages) != 1 { + t.Fatalf("unexpected length of fetched messages") + } + + msg, err = client.RetrieveMessage(ctx, threadID, messageID) + checks.NoError(t, err, "RetrieveMessage error") + if msg.ID != messageID { + t.Fatalf("unexpected message id: '%s'", msg.ID) + } + + msg, err = client.ModifyMessage(ctx, threadID, messageID, + map[string]string{ + "foo": "bar", + }) + checks.NoError(t, err, "ModifyMessage error") + if msg.Metadata["foo"] != "bar" { + t.Fatalf("expected message metadata to get modified") + } + + msgDel, err := client.DeleteMessage(ctx, threadID, messageID) + checks.NoError(t, err, "DeleteMessage error") + if msgDel.ID != messageID { + t.Fatalf("unexpected message id: '%s'", msg.ID) + } + if !msgDel.Deleted { + t.Fatalf("expected deleted is true") + } + _, err = client.DeleteMessage(ctx, threadID, "not_exist_id") + checks.HasError(t, err, "DeleteMessage error") + + // message files + var msgFile openai.MessageFile + msgFile, err = client.RetrieveMessageFile(ctx, threadID, messageID, fileID) + checks.NoError(t, err, "RetrieveMessageFile error") + if msgFile.ID != fileID { + t.Fatalf("unexpected message file id: '%s'", msgFile.ID) + } + + var msgFiles openai.MessageFilesList + msgFiles, err = client.ListMessageFiles(ctx, threadID, messageID) + checks.NoError(t, err, "RetrieveMessageFile error") + if len(msgFiles.MessageFiles) != 1 { + t.Fatalf("unexpected count of message files: %d", len(msgFiles.MessageFiles)) + } + if msgFiles.MessageFiles[0].ID != fileID { + t.Fatalf("unexpected message file id: '%s' in list message files", msgFiles.MessageFiles[0].ID) + } +} diff --git a/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/models.go b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/models.go new file mode 100644 index 0000000..d94f988 --- /dev/null +++ b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/models.go @@ -0,0 +1,90 @@ +package openai + +import ( + "context" + "fmt" + "net/http" +) + +// Model struct represents an OpenAPI model. +type Model struct { + CreatedAt int64 `json:"created"` + ID string `json:"id"` + Object string `json:"object"` + OwnedBy string `json:"owned_by"` + Permission []Permission `json:"permission"` + Root string `json:"root"` + Parent string `json:"parent"` + + httpHeader +} + +// Permission struct represents an OpenAPI permission. +type Permission struct { + CreatedAt int64 `json:"created"` + ID string `json:"id"` + Object string `json:"object"` + AllowCreateEngine bool `json:"allow_create_engine"` + AllowSampling bool `json:"allow_sampling"` + AllowLogprobs bool `json:"allow_logprobs"` + AllowSearchIndices bool `json:"allow_search_indices"` + AllowView bool `json:"allow_view"` + AllowFineTuning bool `json:"allow_fine_tuning"` + Organization string `json:"organization"` + Group interface{} `json:"group"` + IsBlocking bool `json:"is_blocking"` +} + +// FineTuneModelDeleteResponse represents the deletion status of a fine-tuned model. +type FineTuneModelDeleteResponse struct { + ID string `json:"id"` + Object string `json:"object"` + Deleted bool `json:"deleted"` + + httpHeader +} + +// ModelsList is a list of models, including those that belong to the user or organization. +type ModelsList struct { + Models []Model `json:"data"` + + httpHeader +} + +// ListModels Lists the currently available models, +// and provides basic information about each model such as the model id and parent. +func (c *Client) ListModels(ctx context.Context) (models ModelsList, err error) { + req, err := c.newRequest(ctx, http.MethodGet, c.fullURL("/models")) + if err != nil { + return + } + + err = c.sendRequest(req, &models) + return +} + +// GetModel Retrieves a model instance, providing basic information about +// the model such as the owner and permissioning. +func (c *Client) GetModel(ctx context.Context, modelID string) (model Model, err error) { + urlSuffix := fmt.Sprintf("/models/%s", modelID) + req, err := c.newRequest(ctx, http.MethodGet, c.fullURL(urlSuffix)) + if err != nil { + return + } + + err = c.sendRequest(req, &model) + return +} + +// DeleteFineTuneModel Deletes a fine-tune model. You must have the Owner +// role in your organization to delete a model. +func (c *Client) DeleteFineTuneModel(ctx context.Context, modelID string) ( + response FineTuneModelDeleteResponse, err error) { + req, err := c.newRequest(ctx, http.MethodDelete, c.fullURL("/models/"+modelID)) + if err != nil { + return + } + + err = c.sendRequest(req, &response) + return +} diff --git a/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/models_test.go b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/models_test.go new file mode 100644 index 0000000..7fd010c --- /dev/null +++ b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/models_test.go @@ -0,0 +1,112 @@ +package openai_test + +import ( + "context" + "encoding/json" + "fmt" + "net/http" + "os" + "testing" + "time" + + "github.com/sashabaranov/go-openai" + "github.com/sashabaranov/go-openai/internal/test/checks" +) + +const testFineTuneModelID = "fine-tune-model-id" + +// TestListModels Tests the list models endpoint of the API using the mocked server. +func TestListModels(t *testing.T) { + client, server, teardown := setupOpenAITestServer() + defer teardown() + server.RegisterHandler("/v1/models", handleListModelsEndpoint) + _, err := client.ListModels(context.Background()) + checks.NoError(t, err, "ListModels error") +} + +func TestAzureListModels(t *testing.T) { + client, server, teardown := setupAzureTestServer() + defer teardown() + server.RegisterHandler("/openai/models", handleListModelsEndpoint) + _, err := client.ListModels(context.Background()) + checks.NoError(t, err, "ListModels error") +} + +// handleListModelsEndpoint Handles the list models endpoint by the test server. +func handleListModelsEndpoint(w http.ResponseWriter, _ *http.Request) { + resBytes, _ := json.Marshal(openai.ModelsList{}) + fmt.Fprintln(w, string(resBytes)) +} + +// TestGetModel Tests the retrieve model endpoint of the API using the mocked server. +func TestGetModel(t *testing.T) { + client, server, teardown := setupOpenAITestServer() + defer teardown() + server.RegisterHandler("/v1/models/text-davinci-003", handleGetModelEndpoint) + _, err := client.GetModel(context.Background(), "text-davinci-003") + checks.NoError(t, err, "GetModel error") +} + +// TestGetModelO3 Tests the retrieve O3 model endpoint of the API using the mocked server. +func TestGetModelO3(t *testing.T) { + client, server, teardown := setupOpenAITestServer() + defer teardown() + server.RegisterHandler("/v1/models/o3", handleGetModelEndpoint) + _, err := client.GetModel(context.Background(), "o3") + checks.NoError(t, err, "GetModel error for O3") +} + +// TestGetModelO4Mini Tests the retrieve O4Mini model endpoint of the API using the mocked server. +func TestGetModelO4Mini(t *testing.T) { + client, server, teardown := setupOpenAITestServer() + defer teardown() + server.RegisterHandler("/v1/models/o4-mini", handleGetModelEndpoint) + _, err := client.GetModel(context.Background(), "o4-mini") + checks.NoError(t, err, "GetModel error for O4Mini") +} + +func TestAzureGetModel(t *testing.T) { + client, server, teardown := setupAzureTestServer() + defer teardown() + server.RegisterHandler("/openai/models/text-davinci-003", handleGetModelEndpoint) + _, err := client.GetModel(context.Background(), "text-davinci-003") + checks.NoError(t, err, "GetModel error") +} + +// handleGetModelsEndpoint Handles the get model endpoint by the test server. +func handleGetModelEndpoint(w http.ResponseWriter, _ *http.Request) { + resBytes, _ := json.Marshal(openai.Model{}) + fmt.Fprintln(w, string(resBytes)) +} + +func TestGetModelReturnTimeoutError(t *testing.T) { + client, server, teardown := setupOpenAITestServer() + defer teardown() + server.RegisterHandler("/v1/models/text-davinci-003", func(http.ResponseWriter, *http.Request) { + time.Sleep(10 * time.Nanosecond) + }) + ctx := context.Background() + ctx, cancel := context.WithTimeout(ctx, time.Nanosecond) + defer cancel() + + _, err := client.GetModel(ctx, "text-davinci-003") + if err == nil { + t.Fatal("Did not return error") + } + if !os.IsTimeout(err) { + t.Fatal("Did not return timeout error") + } +} + +func TestDeleteFineTuneModel(t *testing.T) { + client, server, teardown := setupOpenAITestServer() + defer teardown() + server.RegisterHandler("/v1/models/"+testFineTuneModelID, handleDeleteFineTuneModelEndpoint) + _, err := client.DeleteFineTuneModel(context.Background(), testFineTuneModelID) + checks.NoError(t, err, "DeleteFineTuneModel error") +} + +func handleDeleteFineTuneModelEndpoint(w http.ResponseWriter, _ *http.Request) { + resBytes, _ := json.Marshal(openai.FineTuneModelDeleteResponse{}) + fmt.Fprintln(w, string(resBytes)) +} diff --git a/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/moderation.go b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/moderation.go new file mode 100644 index 0000000..a0e09c0 --- /dev/null +++ b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/moderation.go @@ -0,0 +1,107 @@ +package openai + +import ( + "context" + "errors" + "net/http" +) + +// The moderation endpoint is a tool you can use to check whether content complies with OpenAI's usage policies. +// Developers can thus identify content that our usage policies prohibits and take action, for instance by filtering it. + +// The default is text-moderation-latest which will be automatically upgraded over time. +// This ensures you are always using our most accurate model. +// If you use text-moderation-stable, we will provide advanced notice before updating the model. +// Accuracy of text-moderation-stable may be slightly lower than for text-moderation-latest. +const ( + ModerationOmniLatest = "omni-moderation-latest" + ModerationOmni20240926 = "omni-moderation-2024-09-26" + ModerationTextStable = "text-moderation-stable" + ModerationTextLatest = "text-moderation-latest" + // Deprecated: use ModerationTextStable and ModerationTextLatest instead. + ModerationText001 = "text-moderation-001" +) + +var ( + ErrModerationInvalidModel = errors.New("this model is not supported with moderation, please use text-moderation-stable or text-moderation-latest instead") //nolint:lll +) + +var validModerationModel = map[string]struct{}{ + ModerationOmniLatest: {}, + ModerationOmni20240926: {}, + ModerationTextStable: {}, + ModerationTextLatest: {}, +} + +// ModerationRequest represents a request structure for moderation API. +type ModerationRequest struct { + Input string `json:"input,omitempty"` + Model string `json:"model,omitempty"` +} + +// Result represents one of possible moderation results. +type Result struct { + Categories ResultCategories `json:"categories"` + CategoryScores ResultCategoryScores `json:"category_scores"` + Flagged bool `json:"flagged"` +} + +// ResultCategories represents Categories of Result. +type ResultCategories struct { + Hate bool `json:"hate"` + HateThreatening bool `json:"hate/threatening"` + Harassment bool `json:"harassment"` + HarassmentThreatening bool `json:"harassment/threatening"` + SelfHarm bool `json:"self-harm"` + SelfHarmIntent bool `json:"self-harm/intent"` + SelfHarmInstructions bool `json:"self-harm/instructions"` + Sexual bool `json:"sexual"` + SexualMinors bool `json:"sexual/minors"` + Violence bool `json:"violence"` + ViolenceGraphic bool `json:"violence/graphic"` +} + +// ResultCategoryScores represents CategoryScores of Result. +type ResultCategoryScores struct { + Hate float32 `json:"hate"` + HateThreatening float32 `json:"hate/threatening"` + Harassment float32 `json:"harassment"` + HarassmentThreatening float32 `json:"harassment/threatening"` + SelfHarm float32 `json:"self-harm"` + SelfHarmIntent float32 `json:"self-harm/intent"` + SelfHarmInstructions float32 `json:"self-harm/instructions"` + Sexual float32 `json:"sexual"` + SexualMinors float32 `json:"sexual/minors"` + Violence float32 `json:"violence"` + ViolenceGraphic float32 `json:"violence/graphic"` +} + +// ModerationResponse represents a response structure for moderation API. +type ModerationResponse struct { + ID string `json:"id"` + Model string `json:"model"` + Results []Result `json:"results"` + + httpHeader +} + +// Moderations — perform a moderation api call over a string. +// Input can be an array or slice but a string will reduce the complexity. +func (c *Client) Moderations(ctx context.Context, request ModerationRequest) (response ModerationResponse, err error) { + if _, ok := validModerationModel[request.Model]; len(request.Model) > 0 && !ok { + err = ErrModerationInvalidModel + return + } + req, err := c.newRequest( + ctx, + http.MethodPost, + c.fullURL("/moderations", withModel(request.Model)), + withBody(&request), + ) + if err != nil { + return + } + + err = c.sendRequest(req, &response) + return +} diff --git a/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/moderation_test.go b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/moderation_test.go new file mode 100644 index 0000000..a97f25b --- /dev/null +++ b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/moderation_test.go @@ -0,0 +1,155 @@ +package openai_test + +import ( + "context" + "encoding/json" + "fmt" + "io" + "net/http" + "strconv" + "strings" + "testing" + "time" + + "github.com/sashabaranov/go-openai" + "github.com/sashabaranov/go-openai/internal/test/checks" +) + +// TestModeration Tests the moderations endpoint of the API using the mocked server. +func TestModerations(t *testing.T) { + client, server, teardown := setupOpenAITestServer() + defer teardown() + server.RegisterHandler("/v1/moderations", handleModerationEndpoint) + _, err := client.Moderations(context.Background(), openai.ModerationRequest{ + Model: openai.ModerationTextStable, + Input: "I want to kill them.", + }) + checks.NoError(t, err, "Moderation error") +} + +// TestModerationsWithIncorrectModel Tests passing valid and invalid models to moderations endpoint. +func TestModerationsWithDifferentModelOptions(t *testing.T) { + var modelOptions []struct { + model string + expect error + } + modelOptions = append(modelOptions, + getModerationModelTestOption(openai.GPT3Dot5Turbo, openai.ErrModerationInvalidModel), + getModerationModelTestOption(openai.ModerationTextStable, nil), + getModerationModelTestOption(openai.ModerationTextLatest, nil), + getModerationModelTestOption(openai.ModerationOmni20240926, nil), + getModerationModelTestOption(openai.ModerationOmniLatest, nil), + getModerationModelTestOption("", nil), + ) + client, server, teardown := setupOpenAITestServer() + defer teardown() + server.RegisterHandler("/v1/moderations", handleModerationEndpoint) + for _, modelTest := range modelOptions { + _, err := client.Moderations(context.Background(), openai.ModerationRequest{ + Model: modelTest.model, + Input: "I want to kill them.", + }) + checks.ErrorIs(t, err, modelTest.expect, + fmt.Sprintf("Moderations(..) expects err: %v, actual err:%v", modelTest.expect, err)) + } +} + +func getModerationModelTestOption(model string, expect error) struct { + model string + expect error +} { + return struct { + model string + expect error + }{model: model, expect: expect} +} + +// handleModerationEndpoint Handles the moderation endpoint by the test server. +func handleModerationEndpoint(w http.ResponseWriter, r *http.Request) { + var err error + var resBytes []byte + + // completions only accepts POST requests + if r.Method != "POST" { + http.Error(w, "Method not allowed", http.StatusMethodNotAllowed) + } + var moderationReq openai.ModerationRequest + if moderationReq, err = getModerationBody(r); err != nil { + http.Error(w, "could not read request", http.StatusInternalServerError) + return + } + + resCat := openai.ResultCategories{} + resCatScore := openai.ResultCategoryScores{} + switch { + case strings.Contains(moderationReq.Input, "hate"): + resCat = openai.ResultCategories{Hate: true} + resCatScore = openai.ResultCategoryScores{Hate: 1} + + case strings.Contains(moderationReq.Input, "hate more"): + resCat = openai.ResultCategories{HateThreatening: true} + resCatScore = openai.ResultCategoryScores{HateThreatening: 1} + + case strings.Contains(moderationReq.Input, "harass"): + resCat = openai.ResultCategories{Harassment: true} + resCatScore = openai.ResultCategoryScores{Harassment: 1} + + case strings.Contains(moderationReq.Input, "harass hard"): + resCat = openai.ResultCategories{Harassment: true} + resCatScore = openai.ResultCategoryScores{HarassmentThreatening: 1} + + case strings.Contains(moderationReq.Input, "suicide"): + resCat = openai.ResultCategories{SelfHarm: true} + resCatScore = openai.ResultCategoryScores{SelfHarm: 1} + + case strings.Contains(moderationReq.Input, "wanna suicide"): + resCat = openai.ResultCategories{SelfHarmIntent: true} + resCatScore = openai.ResultCategoryScores{SelfHarm: 1} + + case strings.Contains(moderationReq.Input, "drink bleach"): + resCat = openai.ResultCategories{SelfHarmInstructions: true} + resCatScore = openai.ResultCategoryScores{SelfHarmInstructions: 1} + + case strings.Contains(moderationReq.Input, "porn"): + resCat = openai.ResultCategories{Sexual: true} + resCatScore = openai.ResultCategoryScores{Sexual: 1} + + case strings.Contains(moderationReq.Input, "child porn"): + resCat = openai.ResultCategories{SexualMinors: true} + resCatScore = openai.ResultCategoryScores{SexualMinors: 1} + + case strings.Contains(moderationReq.Input, "kill"): + resCat = openai.ResultCategories{Violence: true} + resCatScore = openai.ResultCategoryScores{Violence: 1} + + case strings.Contains(moderationReq.Input, "corpse"): + resCat = openai.ResultCategories{ViolenceGraphic: true} + resCatScore = openai.ResultCategoryScores{ViolenceGraphic: 1} + } + + result := openai.Result{Categories: resCat, CategoryScores: resCatScore, Flagged: true} + + res := openai.ModerationResponse{ + ID: strconv.Itoa(int(time.Now().Unix())), + Model: moderationReq.Model, + } + res.Results = append(res.Results, result) + + resBytes, _ = json.Marshal(res) + fmt.Fprintln(w, string(resBytes)) +} + +// getModerationBody Returns the body of the request to do a moderation. +func getModerationBody(r *http.Request) (openai.ModerationRequest, error) { + moderation := openai.ModerationRequest{} + // read the request body + reqBody, err := io.ReadAll(r.Body) + if err != nil { + return openai.ModerationRequest{}, err + } + err = json.Unmarshal(reqBody, &moderation) + if err != nil { + return openai.ModerationRequest{}, err + } + return moderation, nil +} diff --git a/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/openai_test.go b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/openai_test.go new file mode 100644 index 0000000..a55f3a8 --- /dev/null +++ b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/openai_test.go @@ -0,0 +1,37 @@ +package openai_test + +import ( + "github.com/sashabaranov/go-openai" + "github.com/sashabaranov/go-openai/internal/test" +) + +func setupOpenAITestServer() (client *openai.Client, server *test.ServerTest, teardown func()) { + server = test.NewTestServer() + ts := server.OpenAITestServer() + ts.Start() + teardown = ts.Close + config := openai.DefaultConfig(test.GetTestToken()) + config.BaseURL = ts.URL + "/v1" + client = openai.NewClientWithConfig(config) + return +} + +func setupAzureTestServer() (client *openai.Client, server *test.ServerTest, teardown func()) { + server = test.NewTestServer() + ts := server.OpenAITestServer() + ts.Start() + teardown = ts.Close + config := openai.DefaultAzureConfig(test.GetTestToken(), "https://dummylab.openai.azure.com/") + config.BaseURL = ts.URL + client = openai.NewClientWithConfig(config) + return +} + +// numTokens Returns the number of GPT-3 encoded tokens in the given text. +// This function approximates based on the rule of thumb stated by OpenAI: +// https://beta.openai.com/tokenizer. +// +// TODO: implement an actual tokenizer for GPT-3 and Codex (once available). +func numTokens(s string) int { + return int(float32(len(s)) / 4) +} diff --git a/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/ratelimit.go b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/ratelimit.go new file mode 100644 index 0000000..e8953f7 --- /dev/null +++ b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/ratelimit.go @@ -0,0 +1,43 @@ +package openai + +import ( + "net/http" + "strconv" + "time" +) + +// RateLimitHeaders struct represents Openai rate limits headers. +type RateLimitHeaders struct { + LimitRequests int `json:"x-ratelimit-limit-requests"` + LimitTokens int `json:"x-ratelimit-limit-tokens"` + RemainingRequests int `json:"x-ratelimit-remaining-requests"` + RemainingTokens int `json:"x-ratelimit-remaining-tokens"` + ResetRequests ResetTime `json:"x-ratelimit-reset-requests"` + ResetTokens ResetTime `json:"x-ratelimit-reset-tokens"` +} + +type ResetTime string + +func (r ResetTime) String() string { + return string(r) +} + +func (r ResetTime) Time() time.Time { + d, _ := time.ParseDuration(string(r)) + return time.Now().Add(d) +} + +func newRateLimitHeaders(h http.Header) RateLimitHeaders { + limitReq, _ := strconv.Atoi(h.Get("x-ratelimit-limit-requests")) + limitTokens, _ := strconv.Atoi(h.Get("x-ratelimit-limit-tokens")) + remainingReq, _ := strconv.Atoi(h.Get("x-ratelimit-remaining-requests")) + remainingTokens, _ := strconv.Atoi(h.Get("x-ratelimit-remaining-tokens")) + return RateLimitHeaders{ + LimitRequests: limitReq, + LimitTokens: limitTokens, + RemainingRequests: remainingReq, + RemainingTokens: remainingTokens, + ResetRequests: ResetTime(h.Get("x-ratelimit-reset-requests")), + ResetTokens: ResetTime(h.Get("x-ratelimit-reset-tokens")), + } +} diff --git a/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/reasoning_validator.go b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/reasoning_validator.go new file mode 100644 index 0000000..2910b13 --- /dev/null +++ b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/reasoning_validator.go @@ -0,0 +1,81 @@ +package openai + +import ( + "errors" + "strings" +) + +var ( + // Deprecated: use ErrReasoningModelMaxTokensDeprecated instead. + ErrO1MaxTokensDeprecated = errors.New("this model is not supported MaxTokens, please use MaxCompletionTokens") //nolint:lll + ErrCompletionUnsupportedModel = errors.New("this model is not supported with this method, please use CreateChatCompletion client method instead") //nolint:lll + ErrCompletionStreamNotSupported = errors.New("streaming is not supported with this method, please use CreateCompletionStream") //nolint:lll + ErrCompletionRequestPromptTypeNotSupported = errors.New("the type of CompletionRequest.Prompt only supports string and []string") //nolint:lll +) + +var ( + ErrO1BetaLimitationsMessageTypes = errors.New("this model has beta-limitations, user and assistant messages only, system messages are not supported") //nolint:lll + ErrO1BetaLimitationsTools = errors.New("this model has beta-limitations, tools, function calling, and response format parameters are not supported") //nolint:lll + // Deprecated: use ErrReasoningModelLimitations* instead. + ErrO1BetaLimitationsLogprobs = errors.New("this model has beta-limitations, logprobs not supported") //nolint:lll + ErrO1BetaLimitationsOther = errors.New("this model has beta-limitations, temperature, top_p and n are fixed at 1, while presence_penalty and frequency_penalty are fixed at 0") //nolint:lll +) + +var ( + //nolint:lll + ErrReasoningModelMaxTokensDeprecated = errors.New("this model is not supported MaxTokens, please use MaxCompletionTokens") + ErrReasoningModelLimitationsLogprobs = errors.New("this model has beta-limitations, logprobs not supported") //nolint:lll + ErrReasoningModelLimitationsOther = errors.New("this model has beta-limitations, temperature, top_p and n are fixed at 1, while presence_penalty and frequency_penalty are fixed at 0") //nolint:lll +) + +// ReasoningValidator handles validation for o-series model requests. +type ReasoningValidator struct{} + +// NewReasoningValidator creates a new validator for o-series models. +func NewReasoningValidator() *ReasoningValidator { + return &ReasoningValidator{} +} + +// Validate performs all validation checks for o-series models. +func (v *ReasoningValidator) Validate(request ChatCompletionRequest) error { + o1Series := strings.HasPrefix(request.Model, "o1") + o3Series := strings.HasPrefix(request.Model, "o3") + o4Series := strings.HasPrefix(request.Model, "o4") + + if !o1Series && !o3Series && !o4Series { + return nil + } + + if err := v.validateReasoningModelParams(request); err != nil { + return err + } + + return nil +} + +// validateReasoningModelParams checks reasoning model parameters. +func (v *ReasoningValidator) validateReasoningModelParams(request ChatCompletionRequest) error { + if request.MaxTokens > 0 { + return ErrReasoningModelMaxTokensDeprecated + } + if request.LogProbs { + return ErrReasoningModelLimitationsLogprobs + } + if request.Temperature > 0 && request.Temperature != 1 { + return ErrReasoningModelLimitationsOther + } + if request.TopP > 0 && request.TopP != 1 { + return ErrReasoningModelLimitationsOther + } + if request.N > 0 && request.N != 1 { + return ErrReasoningModelLimitationsOther + } + if request.PresencePenalty > 0 { + return ErrReasoningModelLimitationsOther + } + if request.FrequencyPenalty > 0 { + return ErrReasoningModelLimitationsOther + } + + return nil +} diff --git a/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/run.go b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/run.go new file mode 100644 index 0000000..9c51aaf --- /dev/null +++ b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/run.go @@ -0,0 +1,454 @@ +package openai + +import ( + "context" + "fmt" + "net/http" + "net/url" +) + +type Run struct { + ID string `json:"id"` + Object string `json:"object"` + CreatedAt int64 `json:"created_at"` + ThreadID string `json:"thread_id"` + AssistantID string `json:"assistant_id"` + Status RunStatus `json:"status"` + RequiredAction *RunRequiredAction `json:"required_action,omitempty"` + LastError *RunLastError `json:"last_error,omitempty"` + ExpiresAt int64 `json:"expires_at"` + StartedAt *int64 `json:"started_at,omitempty"` + CancelledAt *int64 `json:"cancelled_at,omitempty"` + FailedAt *int64 `json:"failed_at,omitempty"` + CompletedAt *int64 `json:"completed_at,omitempty"` + Model string `json:"model"` + Instructions string `json:"instructions,omitempty"` + Tools []Tool `json:"tools"` + FileIDS []string `json:"file_ids"` //nolint:revive // backwards-compatibility + Metadata map[string]any `json:"metadata"` + Usage Usage `json:"usage,omitempty"` + + Temperature *float32 `json:"temperature,omitempty"` + // The maximum number of prompt tokens that may be used over the course of the run. + // If the run exceeds the number of prompt tokens specified, the run will end with status 'incomplete'. + MaxPromptTokens int `json:"max_prompt_tokens,omitempty"` + // The maximum number of completion tokens that may be used over the course of the run. + // If the run exceeds the number of completion tokens specified, the run will end with status 'incomplete'. + MaxCompletionTokens int `json:"max_completion_tokens,omitempty"` + // ThreadTruncationStrategy defines the truncation strategy to use for the thread. + TruncationStrategy *ThreadTruncationStrategy `json:"truncation_strategy,omitempty"` + + httpHeader +} + +type RunStatus string + +const ( + RunStatusQueued RunStatus = "queued" + RunStatusInProgress RunStatus = "in_progress" + RunStatusRequiresAction RunStatus = "requires_action" + RunStatusCancelling RunStatus = "cancelling" + RunStatusFailed RunStatus = "failed" + RunStatusCompleted RunStatus = "completed" + RunStatusIncomplete RunStatus = "incomplete" + RunStatusExpired RunStatus = "expired" + RunStatusCancelled RunStatus = "cancelled" +) + +type RunRequiredAction struct { + Type RequiredActionType `json:"type"` + SubmitToolOutputs *SubmitToolOutputs `json:"submit_tool_outputs,omitempty"` +} + +type RequiredActionType string + +const ( + RequiredActionTypeSubmitToolOutputs RequiredActionType = "submit_tool_outputs" +) + +type SubmitToolOutputs struct { + ToolCalls []ToolCall `json:"tool_calls"` +} + +type RunLastError struct { + Code RunError `json:"code"` + Message string `json:"message"` +} + +type RunError string + +const ( + RunErrorServerError RunError = "server_error" + RunErrorRateLimitExceeded RunError = "rate_limit_exceeded" +) + +type RunRequest struct { + AssistantID string `json:"assistant_id"` + Model string `json:"model,omitempty"` + Instructions string `json:"instructions,omitempty"` + AdditionalInstructions string `json:"additional_instructions,omitempty"` + AdditionalMessages []ThreadMessage `json:"additional_messages,omitempty"` + Tools []Tool `json:"tools,omitempty"` + Metadata map[string]any `json:"metadata,omitempty"` + + // Sampling temperature between 0 and 2. Higher values like 0.8 are more random. + // lower values are more focused and deterministic. + Temperature *float32 `json:"temperature,omitempty"` + TopP *float32 `json:"top_p,omitempty"` + + // The maximum number of prompt tokens that may be used over the course of the run. + // If the run exceeds the number of prompt tokens specified, the run will end with status 'incomplete'. + MaxPromptTokens int `json:"max_prompt_tokens,omitempty"` + + // The maximum number of completion tokens that may be used over the course of the run. + // If the run exceeds the number of completion tokens specified, the run will end with status 'incomplete'. + MaxCompletionTokens int `json:"max_completion_tokens,omitempty"` + + // ThreadTruncationStrategy defines the truncation strategy to use for the thread. + TruncationStrategy *ThreadTruncationStrategy `json:"truncation_strategy,omitempty"` + + // This can be either a string or a ToolChoice object. + ToolChoice any `json:"tool_choice,omitempty"` + // This can be either a string or a ResponseFormat object. + ResponseFormat any `json:"response_format,omitempty"` + // Disable the default behavior of parallel tool calls by setting it: false. + ParallelToolCalls any `json:"parallel_tool_calls,omitempty"` +} + +// ThreadTruncationStrategy defines the truncation strategy to use for the thread. +// https://platform.openai.com/docs/assistants/how-it-works/truncation-strategy. +type ThreadTruncationStrategy struct { + // default 'auto'. + Type TruncationStrategy `json:"type,omitempty"` + // this field should be set if the truncation strategy is set to LastMessages. + LastMessages *int `json:"last_messages,omitempty"` +} + +// TruncationStrategy defines the existing truncation strategies existing for thread management in an assistant. +type TruncationStrategy string + +const ( + // TruncationStrategyAuto messages in the middle of the thread will be dropped to fit the context length of the model. + TruncationStrategyAuto = TruncationStrategy("auto") + // TruncationStrategyLastMessages the thread will be truncated to the n most recent messages in the thread. + TruncationStrategyLastMessages = TruncationStrategy("last_messages") +) + +// ReponseFormat specifies the format the model must output. +// https://platform.openai.com/docs/api-reference/runs/createRun#runs-createrun-response_format. +// Type can either be text or json_object. +type ReponseFormat struct { + Type string `json:"type"` +} + +type RunModifyRequest struct { + Metadata map[string]any `json:"metadata,omitempty"` +} + +// RunList is a list of runs. +type RunList struct { + Runs []Run `json:"data"` + + httpHeader +} + +type SubmitToolOutputsRequest struct { + ToolOutputs []ToolOutput `json:"tool_outputs"` +} + +type ToolOutput struct { + ToolCallID string `json:"tool_call_id"` + Output any `json:"output"` +} + +type CreateThreadAndRunRequest struct { + RunRequest + Thread ThreadRequest `json:"thread"` +} + +type RunStep struct { + ID string `json:"id"` + Object string `json:"object"` + CreatedAt int64 `json:"created_at"` + AssistantID string `json:"assistant_id"` + ThreadID string `json:"thread_id"` + RunID string `json:"run_id"` + Type RunStepType `json:"type"` + Status RunStepStatus `json:"status"` + StepDetails StepDetails `json:"step_details"` + LastError *RunLastError `json:"last_error,omitempty"` + ExpiredAt *int64 `json:"expired_at,omitempty"` + CancelledAt *int64 `json:"cancelled_at,omitempty"` + FailedAt *int64 `json:"failed_at,omitempty"` + CompletedAt *int64 `json:"completed_at,omitempty"` + Metadata map[string]any `json:"metadata"` + + httpHeader +} + +type RunStepStatus string + +const ( + RunStepStatusInProgress RunStepStatus = "in_progress" + RunStepStatusCancelling RunStepStatus = "cancelled" + RunStepStatusFailed RunStepStatus = "failed" + RunStepStatusCompleted RunStepStatus = "completed" + RunStepStatusExpired RunStepStatus = "expired" +) + +type RunStepType string + +const ( + RunStepTypeMessageCreation RunStepType = "message_creation" + RunStepTypeToolCalls RunStepType = "tool_calls" +) + +type StepDetails struct { + Type RunStepType `json:"type"` + MessageCreation *StepDetailsMessageCreation `json:"message_creation,omitempty"` + ToolCalls []ToolCall `json:"tool_calls,omitempty"` +} + +type StepDetailsMessageCreation struct { + MessageID string `json:"message_id"` +} + +// RunStepList is a list of steps. +type RunStepList struct { + RunSteps []RunStep `json:"data"` + + FirstID string `json:"first_id"` + LastID string `json:"last_id"` + HasMore bool `json:"has_more"` + + httpHeader +} + +type Pagination struct { + Limit *int + Order *string + After *string + Before *string +} + +// CreateRun creates a new run. +func (c *Client) CreateRun( + ctx context.Context, + threadID string, + request RunRequest, +) (response Run, err error) { + urlSuffix := fmt.Sprintf("/threads/%s/runs", threadID) + req, err := c.newRequest( + ctx, + http.MethodPost, + c.fullURL(urlSuffix), + withBody(request), + withBetaAssistantVersion(c.config.AssistantVersion)) + if err != nil { + return + } + + err = c.sendRequest(req, &response) + return +} + +// RetrieveRun retrieves a run. +func (c *Client) RetrieveRun( + ctx context.Context, + threadID string, + runID string, +) (response Run, err error) { + urlSuffix := fmt.Sprintf("/threads/%s/runs/%s", threadID, runID) + req, err := c.newRequest( + ctx, + http.MethodGet, + c.fullURL(urlSuffix), + withBetaAssistantVersion(c.config.AssistantVersion)) + if err != nil { + return + } + + err = c.sendRequest(req, &response) + return +} + +// ModifyRun modifies a run. +func (c *Client) ModifyRun( + ctx context.Context, + threadID string, + runID string, + request RunModifyRequest, +) (response Run, err error) { + urlSuffix := fmt.Sprintf("/threads/%s/runs/%s", threadID, runID) + req, err := c.newRequest( + ctx, + http.MethodPost, + c.fullURL(urlSuffix), + withBody(request), + withBetaAssistantVersion(c.config.AssistantVersion)) + if err != nil { + return + } + + err = c.sendRequest(req, &response) + return +} + +// ListRuns lists runs. +func (c *Client) ListRuns( + ctx context.Context, + threadID string, + pagination Pagination, +) (response RunList, err error) { + urlValues := url.Values{} + if pagination.Limit != nil { + urlValues.Add("limit", fmt.Sprintf("%d", *pagination.Limit)) + } + if pagination.Order != nil { + urlValues.Add("order", *pagination.Order) + } + if pagination.After != nil { + urlValues.Add("after", *pagination.After) + } + if pagination.Before != nil { + urlValues.Add("before", *pagination.Before) + } + + encodedValues := "" + if len(urlValues) > 0 { + encodedValues = "?" + urlValues.Encode() + } + + urlSuffix := fmt.Sprintf("/threads/%s/runs%s", threadID, encodedValues) + req, err := c.newRequest( + ctx, + http.MethodGet, + c.fullURL(urlSuffix), + withBetaAssistantVersion(c.config.AssistantVersion)) + if err != nil { + return + } + + err = c.sendRequest(req, &response) + return +} + +// SubmitToolOutputs submits tool outputs. +func (c *Client) SubmitToolOutputs( + ctx context.Context, + threadID string, + runID string, + request SubmitToolOutputsRequest) (response Run, err error) { + urlSuffix := fmt.Sprintf("/threads/%s/runs/%s/submit_tool_outputs", threadID, runID) + req, err := c.newRequest( + ctx, + http.MethodPost, + c.fullURL(urlSuffix), + withBody(request), + withBetaAssistantVersion(c.config.AssistantVersion)) + if err != nil { + return + } + + err = c.sendRequest(req, &response) + return +} + +// CancelRun cancels a run. +func (c *Client) CancelRun( + ctx context.Context, + threadID string, + runID string) (response Run, err error) { + urlSuffix := fmt.Sprintf("/threads/%s/runs/%s/cancel", threadID, runID) + req, err := c.newRequest( + ctx, + http.MethodPost, + c.fullURL(urlSuffix), + withBetaAssistantVersion(c.config.AssistantVersion)) + if err != nil { + return + } + + err = c.sendRequest(req, &response) + return +} + +// CreateThreadAndRun submits tool outputs. +func (c *Client) CreateThreadAndRun( + ctx context.Context, + request CreateThreadAndRunRequest) (response Run, err error) { + urlSuffix := "/threads/runs" + req, err := c.newRequest( + ctx, + http.MethodPost, + c.fullURL(urlSuffix), + withBody(request), + withBetaAssistantVersion(c.config.AssistantVersion)) + if err != nil { + return + } + + err = c.sendRequest(req, &response) + return +} + +// RetrieveRunStep retrieves a run step. +func (c *Client) RetrieveRunStep( + ctx context.Context, + threadID string, + runID string, + stepID string, +) (response RunStep, err error) { + urlSuffix := fmt.Sprintf("/threads/%s/runs/%s/steps/%s", threadID, runID, stepID) + req, err := c.newRequest( + ctx, + http.MethodGet, + c.fullURL(urlSuffix), + withBetaAssistantVersion(c.config.AssistantVersion)) + if err != nil { + return + } + + err = c.sendRequest(req, &response) + return +} + +// ListRunSteps lists run steps. +func (c *Client) ListRunSteps( + ctx context.Context, + threadID string, + runID string, + pagination Pagination, +) (response RunStepList, err error) { + urlValues := url.Values{} + if pagination.Limit != nil { + urlValues.Add("limit", fmt.Sprintf("%d", *pagination.Limit)) + } + if pagination.Order != nil { + urlValues.Add("order", *pagination.Order) + } + if pagination.After != nil { + urlValues.Add("after", *pagination.After) + } + if pagination.Before != nil { + urlValues.Add("before", *pagination.Before) + } + + encodedValues := "" + if len(urlValues) > 0 { + encodedValues = "?" + urlValues.Encode() + } + + urlSuffix := fmt.Sprintf("/threads/%s/runs/%s/steps%s", threadID, runID, encodedValues) + req, err := c.newRequest( + ctx, + http.MethodGet, + c.fullURL(urlSuffix), + withBetaAssistantVersion(c.config.AssistantVersion)) + if err != nil { + return + } + + err = c.sendRequest(req, &response) + return +} diff --git a/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/run_test.go b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/run_test.go new file mode 100644 index 0000000..cdf99db --- /dev/null +++ b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/run_test.go @@ -0,0 +1,237 @@ +package openai_test + +import ( + "context" + + openai "github.com/sashabaranov/go-openai" + "github.com/sashabaranov/go-openai/internal/test/checks" + + "encoding/json" + "fmt" + "net/http" + "testing" +) + +// TestAssistant Tests the assistant endpoint of the API using the mocked server. +func TestRun(t *testing.T) { + assistantID := "asst_abc123" + threadID := "thread_abc123" + runID := "run_abc123" + stepID := "step_abc123" + limit := 20 + order := "desc" + after := "asst_abc122" + before := "asst_abc124" + + client, server, teardown := setupOpenAITestServer() + defer teardown() + + server.RegisterHandler( + "/v1/threads/"+threadID+"/runs/"+runID+"/steps/"+stepID, + func(w http.ResponseWriter, r *http.Request) { + if r.Method == http.MethodGet { + resBytes, _ := json.Marshal(openai.RunStep{ + ID: runID, + Object: "run", + CreatedAt: 1234567890, + Status: openai.RunStepStatusCompleted, + }) + fmt.Fprintln(w, string(resBytes)) + } + }, + ) + + server.RegisterHandler( + "/v1/threads/"+threadID+"/runs/"+runID+"/steps", + func(w http.ResponseWriter, r *http.Request) { + if r.Method == http.MethodGet { + resBytes, _ := json.Marshal(openai.RunStepList{ + RunSteps: []openai.RunStep{ + { + ID: runID, + Object: "run", + CreatedAt: 1234567890, + Status: openai.RunStepStatusCompleted, + }, + }, + }) + fmt.Fprintln(w, string(resBytes)) + } + }, + ) + + server.RegisterHandler( + "/v1/threads/"+threadID+"/runs/"+runID+"/cancel", + func(w http.ResponseWriter, r *http.Request) { + if r.Method == http.MethodPost { + resBytes, _ := json.Marshal(openai.Run{ + ID: runID, + Object: "run", + CreatedAt: 1234567890, + Status: openai.RunStatusCancelling, + }) + fmt.Fprintln(w, string(resBytes)) + } + }, + ) + + server.RegisterHandler( + "/v1/threads/"+threadID+"/runs/"+runID+"/submit_tool_outputs", + func(w http.ResponseWriter, r *http.Request) { + if r.Method == http.MethodPost { + resBytes, _ := json.Marshal(openai.Run{ + ID: runID, + Object: "run", + CreatedAt: 1234567890, + Status: openai.RunStatusCancelling, + }) + fmt.Fprintln(w, string(resBytes)) + } + }, + ) + + server.RegisterHandler( + "/v1/threads/"+threadID+"/runs/"+runID, + func(w http.ResponseWriter, r *http.Request) { + if r.Method == http.MethodGet { + resBytes, _ := json.Marshal(openai.Run{ + ID: runID, + Object: "run", + CreatedAt: 1234567890, + Status: openai.RunStatusQueued, + }) + fmt.Fprintln(w, string(resBytes)) + } else if r.Method == http.MethodPost { + var request openai.RunModifyRequest + err := json.NewDecoder(r.Body).Decode(&request) + checks.NoError(t, err, "Decode error") + + resBytes, _ := json.Marshal(openai.Run{ + ID: runID, + Object: "run", + CreatedAt: 1234567890, + Status: openai.RunStatusQueued, + Metadata: request.Metadata, + }) + fmt.Fprintln(w, string(resBytes)) + } + }, + ) + + server.RegisterHandler( + "/v1/threads/"+threadID+"/runs", + func(w http.ResponseWriter, r *http.Request) { + if r.Method == http.MethodPost { + var request openai.RunRequest + err := json.NewDecoder(r.Body).Decode(&request) + checks.NoError(t, err, "Decode error") + + resBytes, _ := json.Marshal(openai.Run{ + ID: runID, + Object: "run", + CreatedAt: 1234567890, + Status: openai.RunStatusQueued, + }) + fmt.Fprintln(w, string(resBytes)) + } else if r.Method == http.MethodGet { + resBytes, _ := json.Marshal(openai.RunList{ + Runs: []openai.Run{ + { + ID: runID, + Object: "run", + CreatedAt: 1234567890, + Status: openai.RunStatusQueued, + }, + }, + }) + fmt.Fprintln(w, string(resBytes)) + } + }, + ) + + server.RegisterHandler( + "/v1/threads/runs", + func(w http.ResponseWriter, r *http.Request) { + if r.Method == http.MethodPost { + var request openai.CreateThreadAndRunRequest + err := json.NewDecoder(r.Body).Decode(&request) + checks.NoError(t, err, "Decode error") + + resBytes, _ := json.Marshal(openai.Run{ + ID: runID, + Object: "run", + CreatedAt: 1234567890, + Status: openai.RunStatusQueued, + }) + fmt.Fprintln(w, string(resBytes)) + } + }, + ) + + ctx := context.Background() + + _, err := client.CreateRun(ctx, threadID, openai.RunRequest{ + AssistantID: assistantID, + }) + checks.NoError(t, err, "CreateRun error") + + _, err = client.RetrieveRun(ctx, threadID, runID) + checks.NoError(t, err, "RetrieveRun error") + + _, err = client.ModifyRun(ctx, threadID, runID, openai.RunModifyRequest{ + Metadata: map[string]any{ + "key": "value", + }, + }) + checks.NoError(t, err, "ModifyRun error") + + _, err = client.ListRuns( + ctx, + threadID, + openai.Pagination{ + Limit: &limit, + Order: &order, + After: &after, + Before: &before, + }, + ) + checks.NoError(t, err, "ListRuns error") + + _, err = client.SubmitToolOutputs(ctx, threadID, runID, + openai.SubmitToolOutputsRequest{}) + checks.NoError(t, err, "SubmitToolOutputs error") + + _, err = client.CancelRun(ctx, threadID, runID) + checks.NoError(t, err, "CancelRun error") + + _, err = client.CreateThreadAndRun(ctx, openai.CreateThreadAndRunRequest{ + RunRequest: openai.RunRequest{ + AssistantID: assistantID, + }, + Thread: openai.ThreadRequest{ + Messages: []openai.ThreadMessage{ + { + Role: openai.ThreadMessageRoleUser, + Content: "Hello, World!", + }, + }, + }, + }) + checks.NoError(t, err, "CreateThreadAndRun error") + + _, err = client.RetrieveRunStep(ctx, threadID, runID, stepID) + checks.NoError(t, err, "RetrieveRunStep error") + + _, err = client.ListRunSteps( + ctx, + threadID, + runID, + openai.Pagination{ + Limit: &limit, + Order: &order, + After: &after, + Before: &before, + }, + ) + checks.NoError(t, err, "ListRunSteps error") +} diff --git a/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/speech.go b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/speech.go new file mode 100644 index 0000000..60e7694 --- /dev/null +++ b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/speech.go @@ -0,0 +1,65 @@ +package openai + +import ( + "context" + "net/http" +) + +type SpeechModel string + +const ( + TTSModel1 SpeechModel = "tts-1" + TTSModel1HD SpeechModel = "tts-1-hd" + TTSModelCanary SpeechModel = "canary-tts" + TTSModelGPT4oMini SpeechModel = "gpt-4o-mini-tts" +) + +type SpeechVoice string + +const ( + VoiceAlloy SpeechVoice = "alloy" + VoiceAsh SpeechVoice = "ash" + VoiceBallad SpeechVoice = "ballad" + VoiceCoral SpeechVoice = "coral" + VoiceEcho SpeechVoice = "echo" + VoiceFable SpeechVoice = "fable" + VoiceOnyx SpeechVoice = "onyx" + VoiceNova SpeechVoice = "nova" + VoiceShimmer SpeechVoice = "shimmer" + VoiceVerse SpeechVoice = "verse" +) + +type SpeechResponseFormat string + +const ( + SpeechResponseFormatMp3 SpeechResponseFormat = "mp3" + SpeechResponseFormatOpus SpeechResponseFormat = "opus" + SpeechResponseFormatAac SpeechResponseFormat = "aac" + SpeechResponseFormatFlac SpeechResponseFormat = "flac" + SpeechResponseFormatWav SpeechResponseFormat = "wav" + SpeechResponseFormatPcm SpeechResponseFormat = "pcm" +) + +type CreateSpeechRequest struct { + Model SpeechModel `json:"model"` + Input string `json:"input"` + Voice SpeechVoice `json:"voice"` + Instructions string `json:"instructions,omitempty"` // Optional, Doesnt work with tts-1 or tts-1-hd. + ResponseFormat SpeechResponseFormat `json:"response_format,omitempty"` // Optional, default to mp3 + Speed float64 `json:"speed,omitempty"` // Optional, default to 1.0 +} + +func (c *Client) CreateSpeech(ctx context.Context, request CreateSpeechRequest) (response RawResponse, err error) { + req, err := c.newRequest( + ctx, + http.MethodPost, + c.fullURL("/audio/speech", withModel(string(request.Model))), + withBody(request), + withContentType("application/json"), + ) + if err != nil { + return + } + + return c.sendRequestRaw(req) +} diff --git a/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/speech_test.go b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/speech_test.go new file mode 100644 index 0000000..67a3fea --- /dev/null +++ b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/speech_test.go @@ -0,0 +1,96 @@ +package openai_test + +import ( + "context" + "encoding/json" + "fmt" + "io" + "mime" + "net/http" + "os" + "path/filepath" + "testing" + + "github.com/sashabaranov/go-openai" + "github.com/sashabaranov/go-openai/internal/test" + "github.com/sashabaranov/go-openai/internal/test/checks" +) + +func TestSpeechIntegration(t *testing.T) { + client, server, teardown := setupOpenAITestServer() + defer teardown() + + server.RegisterHandler("/v1/audio/speech", func(w http.ResponseWriter, r *http.Request) { + path := filepath.Join(t.TempDir(), "fake.mp3") + test.CreateTestFile(t, path) + + // audio endpoints only accept POST requests + if r.Method != "POST" { + http.Error(w, "method not allowed", http.StatusMethodNotAllowed) + return + } + + mediaType, _, err := mime.ParseMediaType(r.Header.Get("Content-Type")) + if err != nil { + http.Error(w, "failed to parse media type", http.StatusBadRequest) + return + } + + if mediaType != "application/json" { + http.Error(w, "request is not json", http.StatusBadRequest) + return + } + + // Parse the JSON body of the request + var params map[string]interface{} + err = json.NewDecoder(r.Body).Decode(¶ms) + if err != nil { + http.Error(w, "failed to parse request body", http.StatusBadRequest) + return + } + + // Check if each required field is present in the parsed JSON object + reqParams := []string{"model", "input", "voice"} + for _, param := range reqParams { + _, ok := params[param] + if !ok { + http.Error(w, fmt.Sprintf("no %s in params", param), http.StatusBadRequest) + return + } + } + + // read audio file content + audioFile, err := os.ReadFile(path) + if err != nil { + http.Error(w, "failed to read audio file", http.StatusInternalServerError) + return + } + + // write audio file content to response + w.Header().Set("Content-Type", "audio/mpeg") + w.Header().Set("Transfer-Encoding", "chunked") + w.Header().Set("Connection", "keep-alive") + _, err = w.Write(audioFile) + if err != nil { + http.Error(w, "failed to write body", http.StatusInternalServerError) + return + } + }) + + t.Run("happy path", func(t *testing.T) { + res, err := client.CreateSpeech(context.Background(), openai.CreateSpeechRequest{ + Model: openai.TTSModel1, + Input: "Hello!", + Voice: openai.VoiceAlloy, + }) + checks.NoError(t, err, "CreateSpeech error") + defer res.Close() + + buf, err := io.ReadAll(res) + checks.NoError(t, err, "ReadAll error") + + // save buf to file as mp3 + err = os.WriteFile("test.mp3", buf, 0644) + checks.NoError(t, err, "Create error") + }) +} diff --git a/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/stream.go b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/stream.go new file mode 100644 index 0000000..a61c7c9 --- /dev/null +++ b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/stream.go @@ -0,0 +1,55 @@ +package openai + +import ( + "context" + "errors" + "net/http" +) + +var ( + ErrTooManyEmptyStreamMessages = errors.New("stream has sent too many empty messages") +) + +type CompletionStream struct { + *streamReader[CompletionResponse] +} + +// CreateCompletionStream — API call to create a completion w/ streaming +// support. It sets whether to stream back partial progress. If set, tokens will be +// sent as data-only server-sent events as they become available, with the +// stream terminated by a data: [DONE] message. +func (c *Client) CreateCompletionStream( + ctx context.Context, + request CompletionRequest, +) (stream *CompletionStream, err error) { + urlSuffix := "/completions" + if !checkEndpointSupportsModel(urlSuffix, request.Model) { + err = ErrCompletionUnsupportedModel + return + } + + if !checkPromptType(request.Prompt) { + err = ErrCompletionRequestPromptTypeNotSupported + return + } + + request.Stream = true + req, err := c.newRequest( + ctx, + http.MethodPost, + c.fullURL(urlSuffix, withModel(request.Model)), + withBody(request), + ) + if err != nil { + return nil, err + } + + resp, err := sendRequestStream[CompletionResponse](c, req) + if err != nil { + return + } + stream = &CompletionStream{ + streamReader: resp, + } + return +} diff --git a/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/stream_reader.go b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/stream_reader.go new file mode 100644 index 0000000..6faefe0 --- /dev/null +++ b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/stream_reader.go @@ -0,0 +1,119 @@ +package openai + +import ( + "bufio" + "bytes" + "fmt" + "io" + "net/http" + "regexp" + + utils "github.com/sashabaranov/go-openai/internal" +) + +var ( + headerData = regexp.MustCompile(`^data:\s*`) + errorPrefix = regexp.MustCompile(`^data:\s*{"error":`) +) + +type streamable interface { + ChatCompletionStreamResponse | CompletionResponse +} + +type streamReader[T streamable] struct { + emptyMessagesLimit uint + isFinished bool + + reader *bufio.Reader + response *http.Response + errAccumulator utils.ErrorAccumulator + unmarshaler utils.Unmarshaler + + httpHeader +} + +func (stream *streamReader[T]) Recv() (response T, err error) { + rawLine, err := stream.RecvRaw() + if err != nil { + return + } + + err = stream.unmarshaler.Unmarshal(rawLine, &response) + if err != nil { + return + } + return response, nil +} + +func (stream *streamReader[T]) RecvRaw() ([]byte, error) { + if stream.isFinished { + return nil, io.EOF + } + + return stream.processLines() +} + +//nolint:gocognit +func (stream *streamReader[T]) processLines() ([]byte, error) { + var ( + emptyMessagesCount uint + hasErrorPrefix bool + ) + + for { + rawLine, readErr := stream.reader.ReadBytes('\n') + if readErr != nil || hasErrorPrefix { + respErr := stream.unmarshalError() + if respErr != nil { + return nil, fmt.Errorf("error, %w", respErr.Error) + } + return nil, readErr + } + + noSpaceLine := bytes.TrimSpace(rawLine) + if errorPrefix.Match(noSpaceLine) { + hasErrorPrefix = true + } + if !headerData.Match(noSpaceLine) || hasErrorPrefix { + if hasErrorPrefix { + noSpaceLine = headerData.ReplaceAll(noSpaceLine, nil) + } + writeErr := stream.errAccumulator.Write(noSpaceLine) + if writeErr != nil { + return nil, writeErr + } + emptyMessagesCount++ + if emptyMessagesCount > stream.emptyMessagesLimit { + return nil, ErrTooManyEmptyStreamMessages + } + + continue + } + + noPrefixLine := headerData.ReplaceAll(noSpaceLine, nil) + if string(noPrefixLine) == "[DONE]" { + stream.isFinished = true + return nil, io.EOF + } + + return noPrefixLine, nil + } +} + +func (stream *streamReader[T]) unmarshalError() (errResp *ErrorResponse) { + errBytes := stream.errAccumulator.Bytes() + if len(errBytes) == 0 { + return + } + + err := stream.unmarshaler.Unmarshal(errBytes, &errResp) + if err != nil { + errResp = nil + } + + return +} + +func (stream *streamReader[T]) Close() error { + return stream.response.Body.Close() +} diff --git a/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/stream_reader_test.go b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/stream_reader_test.go new file mode 100644 index 0000000..449a14b --- /dev/null +++ b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/stream_reader_test.go @@ -0,0 +1,78 @@ +package openai //nolint:testpackage // testing private field + +import ( + "bufio" + "bytes" + "errors" + "testing" + + utils "github.com/sashabaranov/go-openai/internal" + "github.com/sashabaranov/go-openai/internal/test" + "github.com/sashabaranov/go-openai/internal/test/checks" +) + +var errTestUnmarshalerFailed = errors.New("test unmarshaler failed") + +type failingUnMarshaller struct{} + +func (*failingUnMarshaller) Unmarshal(_ []byte, _ any) error { + return errTestUnmarshalerFailed +} + +func TestStreamReaderReturnsUnmarshalerErrors(t *testing.T) { + stream := &streamReader[ChatCompletionStreamResponse]{ + errAccumulator: utils.NewErrorAccumulator(), + unmarshaler: &failingUnMarshaller{}, + } + + respErr := stream.unmarshalError() + if respErr != nil { + t.Fatalf("Did not return nil with empty buffer: %v", respErr) + } + + err := stream.errAccumulator.Write([]byte("{")) + if err != nil { + t.Fatalf("%+v", err) + } + + respErr = stream.unmarshalError() + if respErr != nil { + t.Fatalf("Did not return nil when unmarshaler failed: %v", respErr) + } +} + +func TestStreamReaderReturnsErrTooManyEmptyStreamMessages(t *testing.T) { + stream := &streamReader[ChatCompletionStreamResponse]{ + emptyMessagesLimit: 3, + reader: bufio.NewReader(bytes.NewReader([]byte("\n\n\n\n"))), + errAccumulator: utils.NewErrorAccumulator(), + unmarshaler: &utils.JSONUnmarshaler{}, + } + _, err := stream.Recv() + checks.ErrorIs(t, err, ErrTooManyEmptyStreamMessages, "Did not return error when recv failed", err.Error()) +} + +func TestStreamReaderReturnsErrTestErrorAccumulatorWriteFailed(t *testing.T) { + stream := &streamReader[ChatCompletionStreamResponse]{ + reader: bufio.NewReader(bytes.NewReader([]byte("\n"))), + errAccumulator: &utils.DefaultErrorAccumulator{ + Buffer: &test.FailingErrorBuffer{}, + }, + unmarshaler: &utils.JSONUnmarshaler{}, + } + _, err := stream.Recv() + checks.ErrorIs(t, err, test.ErrTestErrorAccumulatorWriteFailed, "Did not return error when write failed", err.Error()) +} + +func TestStreamReaderRecvRaw(t *testing.T) { + stream := &streamReader[ChatCompletionStreamResponse]{ + reader: bufio.NewReader(bytes.NewReader([]byte("data: {\"key\": \"value\"}\n"))), + } + rawLine, err := stream.RecvRaw() + if err != nil { + t.Fatalf("Did not return raw line: %v", err) + } + if !bytes.Equal(rawLine, []byte("{\"key\": \"value\"}")) { + t.Fatalf("Did not return raw line: %v", string(rawLine)) + } +} diff --git a/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/stream_test.go b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/stream_test.go new file mode 100644 index 0000000..9dd95bb --- /dev/null +++ b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/stream_test.go @@ -0,0 +1,350 @@ +package openai_test + +import ( + "context" + "encoding/json" + "errors" + "io" + "net/http" + "os" + "testing" + "time" + + "github.com/sashabaranov/go-openai" + "github.com/sashabaranov/go-openai/internal/test/checks" +) + +func TestCompletionsStreamWrongModel(t *testing.T) { + config := openai.DefaultConfig("whatever") + config.BaseURL = "http://localhost/v1" + client := openai.NewClientWithConfig(config) + + _, err := client.CreateCompletionStream( + context.Background(), + openai.CompletionRequest{ + MaxTokens: 5, + Model: openai.GPT3Dot5Turbo, + }, + ) + if !errors.Is(err, openai.ErrCompletionUnsupportedModel) { + t.Fatalf("CreateCompletion should return ErrCompletionUnsupportedModel, but returned: %v", err) + } +} + +func TestCreateCompletionStream(t *testing.T) { + client, server, teardown := setupOpenAITestServer() + defer teardown() + server.RegisterHandler("/v1/completions", func(w http.ResponseWriter, _ *http.Request) { + w.Header().Set("Content-Type", "text/event-stream") + + // Send test responses + dataBytes := []byte{} + dataBytes = append(dataBytes, []byte("event: message\n")...) + //nolint:lll + data := `{"id":"1","object":"completion","created":1598069254,"model":"text-davinci-002","choices":[{"text":"response1","finish_reason":"max_tokens"}]}` + dataBytes = append(dataBytes, []byte("data: "+data+"\n\n")...) + + dataBytes = append(dataBytes, []byte("event: message\n")...) + //nolint:lll + data = `{"id":"2","object":"completion","created":1598069255,"model":"text-davinci-002","choices":[{"text":"response2","finish_reason":"max_tokens"}]}` + dataBytes = append(dataBytes, []byte("data: "+data+"\n\n")...) + + dataBytes = append(dataBytes, []byte("event: done\n")...) + dataBytes = append(dataBytes, []byte("data: [DONE]\n\n")...) + + _, err := w.Write(dataBytes) + checks.NoError(t, err, "Write error") + }) + + stream, err := client.CreateCompletionStream(context.Background(), openai.CompletionRequest{ + Prompt: "Ex falso quodlibet", + Model: "text-davinci-002", + MaxTokens: 10, + Stream: true, + }) + checks.NoError(t, err, "CreateCompletionStream returned error") + defer stream.Close() + + expectedResponses := []openai.CompletionResponse{ + { + ID: "1", + Object: "completion", + Created: 1598069254, + Model: "text-davinci-002", + Choices: []openai.CompletionChoice{{Text: "response1", FinishReason: "max_tokens"}}, + }, + { + ID: "2", + Object: "completion", + Created: 1598069255, + Model: "text-davinci-002", + Choices: []openai.CompletionChoice{{Text: "response2", FinishReason: "max_tokens"}}, + }, + } + + for ix, expectedResponse := range expectedResponses { + receivedResponse, streamErr := stream.Recv() + if streamErr != nil { + t.Errorf("stream.Recv() failed: %v", streamErr) + } + if !compareResponses(expectedResponse, receivedResponse) { + t.Errorf("Stream response %v is %v, expected %v", ix, receivedResponse, expectedResponse) + } + } + + _, streamErr := stream.Recv() + if !errors.Is(streamErr, io.EOF) { + t.Errorf("stream.Recv() did not return EOF in the end: %v", streamErr) + } + + _, streamErr = stream.Recv() + if !errors.Is(streamErr, io.EOF) { + t.Errorf("stream.Recv() did not return EOF when the stream is finished: %v", streamErr) + } +} + +func TestCreateCompletionStreamError(t *testing.T) { + client, server, teardown := setupOpenAITestServer() + defer teardown() + server.RegisterHandler("/v1/completions", func(w http.ResponseWriter, _ *http.Request) { + w.Header().Set("Content-Type", "text/event-stream") + + // Send test responses + dataBytes := []byte{} + dataStr := []string{ + `{`, + `"error": {`, + `"message": "Incorrect API key provided: sk-***************************************",`, + `"type": "invalid_request_error",`, + `"param": null,`, + `"code": "invalid_api_key"`, + `}`, + `}`, + } + for _, str := range dataStr { + dataBytes = append(dataBytes, []byte(str+"\n")...) + } + + _, err := w.Write(dataBytes) + checks.NoError(t, err, "Write error") + }) + + stream, err := client.CreateCompletionStream(context.Background(), openai.CompletionRequest{ + MaxTokens: 5, + Model: openai.GPT3TextDavinci003, + Prompt: "Hello!", + Stream: true, + }) + checks.NoError(t, err, "CreateCompletionStream returned error") + defer stream.Close() + + _, streamErr := stream.Recv() + checks.HasError(t, streamErr, "stream.Recv() did not return error") + + var apiErr *openai.APIError + if !errors.As(streamErr, &apiErr) { + t.Errorf("stream.Recv() did not return APIError") + } + t.Logf("%+v\n", apiErr) +} + +func TestCreateCompletionStreamRateLimitError(t *testing.T) { + client, server, teardown := setupOpenAITestServer() + defer teardown() + server.RegisterHandler("/v1/completions", func(w http.ResponseWriter, _ *http.Request) { + w.Header().Set("Content-Type", "application/json") + w.WriteHeader(429) + + // Send test responses + dataBytes := []byte(`{"error":{` + + `"message": "You are sending requests too quickly.",` + + `"type":"rate_limit_reached",` + + `"param":null,` + + `"code":"rate_limit_reached"}}`) + + _, err := w.Write(dataBytes) + checks.NoError(t, err, "Write error") + }) + + var apiErr *openai.APIError + _, err := client.CreateCompletionStream(context.Background(), openai.CompletionRequest{ + MaxTokens: 5, + Model: openai.GPT3Babbage002, + Prompt: "Hello!", + Stream: true, + }) + if !errors.As(err, &apiErr) { + t.Errorf("TestCreateCompletionStreamRateLimitError did not return APIError") + } + t.Logf("%+v\n", apiErr) +} + +func TestCreateCompletionStreamTooManyEmptyStreamMessagesError(t *testing.T) { + client, server, teardown := setupOpenAITestServer() + defer teardown() + server.RegisterHandler("/v1/completions", func(w http.ResponseWriter, _ *http.Request) { + w.Header().Set("Content-Type", "text/event-stream") + + // Send test responses + dataBytes := []byte{} + dataBytes = append(dataBytes, []byte("event: message\n")...) + //nolint:lll + data := `{"id":"1","object":"completion","created":1598069254,"model":"text-davinci-002","choices":[{"text":"response1","finish_reason":"max_tokens"}]}` + dataBytes = append(dataBytes, []byte("data: "+data+"\n\n")...) + + // Totally 301 empty messages (300 is the limit) + for i := 0; i < 299; i++ { + dataBytes = append(dataBytes, '\n') + } + + dataBytes = append(dataBytes, []byte("event: message\n")...) + //nolint:lll + data = `{"id":"2","object":"completion","created":1598069255,"model":"text-davinci-002","choices":[{"text":"response2","finish_reason":"max_tokens"}]}` + dataBytes = append(dataBytes, []byte("data: "+data+"\n\n")...) + + dataBytes = append(dataBytes, []byte("event: done\n")...) + dataBytes = append(dataBytes, []byte("data: [DONE]\n\n")...) + + _, err := w.Write(dataBytes) + checks.NoError(t, err, "Write error") + }) + + stream, err := client.CreateCompletionStream(context.Background(), openai.CompletionRequest{ + Prompt: "Ex falso quodlibet", + Model: "text-davinci-002", + MaxTokens: 10, + Stream: true, + }) + checks.NoError(t, err, "CreateCompletionStream returned error") + defer stream.Close() + + _, _ = stream.Recv() + _, streamErr := stream.Recv() + if !errors.Is(streamErr, openai.ErrTooManyEmptyStreamMessages) { + t.Errorf("TestCreateCompletionStreamTooManyEmptyStreamMessagesError did not return ErrTooManyEmptyStreamMessages") + } +} + +func TestCreateCompletionStreamUnexpectedTerminatedError(t *testing.T) { + client, server, teardown := setupOpenAITestServer() + defer teardown() + server.RegisterHandler("/v1/completions", func(w http.ResponseWriter, _ *http.Request) { + w.Header().Set("Content-Type", "text/event-stream") + + // Send test responses + dataBytes := []byte{} + dataBytes = append(dataBytes, []byte("event: message\n")...) + //nolint:lll + data := `{"id":"1","object":"completion","created":1598069254,"model":"text-davinci-002","choices":[{"text":"response1","finish_reason":"max_tokens"}]}` + dataBytes = append(dataBytes, []byte("data: "+data+"\n\n")...) + + // Stream is terminated without sending "done" message + + _, err := w.Write(dataBytes) + checks.NoError(t, err, "Write error") + }) + + stream, err := client.CreateCompletionStream(context.Background(), openai.CompletionRequest{ + Prompt: "Ex falso quodlibet", + Model: "text-davinci-002", + MaxTokens: 10, + Stream: true, + }) + checks.NoError(t, err, "CreateCompletionStream returned error") + defer stream.Close() + + _, _ = stream.Recv() + _, streamErr := stream.Recv() + if !errors.Is(streamErr, io.EOF) { + t.Errorf("TestCreateCompletionStreamUnexpectedTerminatedError did not return io.EOF") + } +} + +func TestCreateCompletionStreamBrokenJSONError(t *testing.T) { + client, server, teardown := setupOpenAITestServer() + defer teardown() + server.RegisterHandler("/v1/completions", func(w http.ResponseWriter, _ *http.Request) { + w.Header().Set("Content-Type", "text/event-stream") + + // Send test responses + dataBytes := []byte{} + dataBytes = append(dataBytes, []byte("event: message\n")...) + //nolint:lll + data := `{"id":"1","object":"completion","created":1598069254,"model":"text-davinci-002","choices":[{"text":"response1","finish_reason":"max_tokens"}]}` + dataBytes = append(dataBytes, []byte("data: "+data+"\n\n")...) + + // Send broken json + dataBytes = append(dataBytes, []byte("event: message\n")...) + data = `{"id":"2","object":"completion","created":1598069255,"model":` + dataBytes = append(dataBytes, []byte("data: "+data+"\n\n")...) + + dataBytes = append(dataBytes, []byte("event: done\n")...) + dataBytes = append(dataBytes, []byte("data: [DONE]\n\n")...) + + _, err := w.Write(dataBytes) + checks.NoError(t, err, "Write error") + }) + + stream, err := client.CreateCompletionStream(context.Background(), openai.CompletionRequest{ + Prompt: "Ex falso quodlibet", + Model: "text-davinci-002", + MaxTokens: 10, + Stream: true, + }) + checks.NoError(t, err, "CreateCompletionStream returned error") + defer stream.Close() + + _, _ = stream.Recv() + _, streamErr := stream.Recv() + var syntaxError *json.SyntaxError + if !errors.As(streamErr, &syntaxError) { + t.Errorf("TestCreateCompletionStreamBrokenJSONError did not return json.SyntaxError") + } +} + +func TestCreateCompletionStreamReturnTimeoutError(t *testing.T) { + client, server, teardown := setupOpenAITestServer() + defer teardown() + server.RegisterHandler("/v1/completions", func(http.ResponseWriter, *http.Request) { + time.Sleep(10 * time.Nanosecond) + }) + ctx := context.Background() + ctx, cancel := context.WithTimeout(ctx, time.Nanosecond) + defer cancel() + + _, err := client.CreateCompletionStream(ctx, openai.CompletionRequest{ + Prompt: "Ex falso quodlibet", + Model: "text-davinci-002", + MaxTokens: 10, + Stream: true, + }) + if err == nil { + t.Fatal("Did not return error") + } + if !os.IsTimeout(err) { + t.Fatal("Did not return timeout error") + } +} + +// Helper funcs. +func compareResponses(r1, r2 openai.CompletionResponse) bool { + if r1.ID != r2.ID || r1.Object != r2.Object || r1.Created != r2.Created || r1.Model != r2.Model { + return false + } + if len(r1.Choices) != len(r2.Choices) { + return false + } + for i := range r1.Choices { + if !compareResponseChoices(r1.Choices[i], r2.Choices[i]) { + return false + } + } + return true +} + +func compareResponseChoices(c1, c2 openai.CompletionChoice) bool { + if c1.Text != c2.Text || c1.FinishReason != c2.FinishReason { + return false + } + return true +} diff --git a/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/thread.go b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/thread.go new file mode 100644 index 0000000..bc08e2b --- /dev/null +++ b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/thread.go @@ -0,0 +1,171 @@ +package openai + +import ( + "context" + "net/http" +) + +const ( + threadsSuffix = "/threads" +) + +type Thread struct { + ID string `json:"id"` + Object string `json:"object"` + CreatedAt int64 `json:"created_at"` + Metadata map[string]any `json:"metadata"` + ToolResources ToolResources `json:"tool_resources,omitempty"` + + httpHeader +} + +type ThreadRequest struct { + Messages []ThreadMessage `json:"messages,omitempty"` + Metadata map[string]any `json:"metadata,omitempty"` + ToolResources *ToolResourcesRequest `json:"tool_resources,omitempty"` +} + +type ToolResources struct { + CodeInterpreter *CodeInterpreterToolResources `json:"code_interpreter,omitempty"` + FileSearch *FileSearchToolResources `json:"file_search,omitempty"` +} + +type CodeInterpreterToolResources struct { + FileIDs []string `json:"file_ids,omitempty"` +} + +type FileSearchToolResources struct { + VectorStoreIDs []string `json:"vector_store_ids,omitempty"` +} + +type ToolResourcesRequest struct { + CodeInterpreter *CodeInterpreterToolResourcesRequest `json:"code_interpreter,omitempty"` + FileSearch *FileSearchToolResourcesRequest `json:"file_search,omitempty"` +} + +type CodeInterpreterToolResourcesRequest struct { + FileIDs []string `json:"file_ids,omitempty"` +} + +type FileSearchToolResourcesRequest struct { + VectorStoreIDs []string `json:"vector_store_ids,omitempty"` + VectorStores []VectorStoreToolResources `json:"vector_stores,omitempty"` +} + +type VectorStoreToolResources struct { + FileIDs []string `json:"file_ids,omitempty"` + ChunkingStrategy *ChunkingStrategy `json:"chunking_strategy,omitempty"` + Metadata map[string]any `json:"metadata,omitempty"` +} + +type ChunkingStrategy struct { + Type ChunkingStrategyType `json:"type"` + Static *StaticChunkingStrategy `json:"static,omitempty"` +} + +type StaticChunkingStrategy struct { + MaxChunkSizeTokens int `json:"max_chunk_size_tokens"` + ChunkOverlapTokens int `json:"chunk_overlap_tokens"` +} + +type ChunkingStrategyType string + +const ( + ChunkingStrategyTypeAuto ChunkingStrategyType = "auto" + ChunkingStrategyTypeStatic ChunkingStrategyType = "static" +) + +type ModifyThreadRequest struct { + Metadata map[string]any `json:"metadata"` + ToolResources *ToolResources `json:"tool_resources,omitempty"` +} + +type ThreadMessageRole string + +const ( + ThreadMessageRoleAssistant ThreadMessageRole = "assistant" + ThreadMessageRoleUser ThreadMessageRole = "user" +) + +type ThreadMessage struct { + Role ThreadMessageRole `json:"role"` + Content string `json:"content"` + FileIDs []string `json:"file_ids,omitempty"` + Attachments []ThreadAttachment `json:"attachments,omitempty"` + Metadata map[string]any `json:"metadata,omitempty"` +} + +type ThreadAttachment struct { + FileID string `json:"file_id"` + Tools []ThreadAttachmentTool `json:"tools"` +} + +type ThreadAttachmentTool struct { + Type string `json:"type"` +} + +type ThreadDeleteResponse struct { + ID string `json:"id"` + Object string `json:"object"` + Deleted bool `json:"deleted"` + + httpHeader +} + +// CreateThread creates a new thread. +func (c *Client) CreateThread(ctx context.Context, request ThreadRequest) (response Thread, err error) { + req, err := c.newRequest(ctx, http.MethodPost, c.fullURL(threadsSuffix), withBody(request), + withBetaAssistantVersion(c.config.AssistantVersion)) + if err != nil { + return + } + + err = c.sendRequest(req, &response) + return +} + +// RetrieveThread retrieves a thread. +func (c *Client) RetrieveThread(ctx context.Context, threadID string) (response Thread, err error) { + urlSuffix := threadsSuffix + "/" + threadID + req, err := c.newRequest(ctx, http.MethodGet, c.fullURL(urlSuffix), + withBetaAssistantVersion(c.config.AssistantVersion)) + if err != nil { + return + } + + err = c.sendRequest(req, &response) + return +} + +// ModifyThread modifies a thread. +func (c *Client) ModifyThread( + ctx context.Context, + threadID string, + request ModifyThreadRequest, +) (response Thread, err error) { + urlSuffix := threadsSuffix + "/" + threadID + req, err := c.newRequest(ctx, http.MethodPost, c.fullURL(urlSuffix), withBody(request), + withBetaAssistantVersion(c.config.AssistantVersion)) + if err != nil { + return + } + + err = c.sendRequest(req, &response) + return +} + +// DeleteThread deletes a thread. +func (c *Client) DeleteThread( + ctx context.Context, + threadID string, +) (response ThreadDeleteResponse, err error) { + urlSuffix := threadsSuffix + "/" + threadID + req, err := c.newRequest(ctx, http.MethodDelete, c.fullURL(urlSuffix), + withBetaAssistantVersion(c.config.AssistantVersion)) + if err != nil { + return + } + + err = c.sendRequest(req, &response) + return +} diff --git a/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/thread_test.go b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/thread_test.go new file mode 100644 index 0000000..1ac0f3c --- /dev/null +++ b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/thread_test.go @@ -0,0 +1,178 @@ +package openai_test + +import ( + "context" + "encoding/json" + "fmt" + "net/http" + "testing" + + openai "github.com/sashabaranov/go-openai" + "github.com/sashabaranov/go-openai/internal/test/checks" +) + +// TestThread Tests the thread endpoint of the API using the mocked server. +func TestThread(t *testing.T) { + threadID := "thread_abc123" + client, server, teardown := setupOpenAITestServer() + defer teardown() + + server.RegisterHandler( + "/v1/threads/"+threadID, + func(w http.ResponseWriter, r *http.Request) { + switch r.Method { + case http.MethodGet: + resBytes, _ := json.Marshal(openai.Thread{ + ID: threadID, + Object: "thread", + CreatedAt: 1234567890, + }) + fmt.Fprintln(w, string(resBytes)) + case http.MethodPost: + var request openai.ThreadRequest + err := json.NewDecoder(r.Body).Decode(&request) + checks.NoError(t, err, "Decode error") + + resBytes, _ := json.Marshal(openai.Thread{ + ID: threadID, + Object: "thread", + CreatedAt: 1234567890, + }) + fmt.Fprintln(w, string(resBytes)) + case http.MethodDelete: + fmt.Fprintln(w, `{ + "id": "thread_abc123", + "object": "thread.deleted", + "deleted": true + }`) + } + }, + ) + + server.RegisterHandler( + "/v1/threads", + func(w http.ResponseWriter, r *http.Request) { + if r.Method == http.MethodPost { + var request openai.ModifyThreadRequest + err := json.NewDecoder(r.Body).Decode(&request) + checks.NoError(t, err, "Decode error") + + resBytes, _ := json.Marshal(openai.Thread{ + ID: threadID, + Object: "thread", + CreatedAt: 1234567890, + Metadata: request.Metadata, + }) + fmt.Fprintln(w, string(resBytes)) + } + }, + ) + + ctx := context.Background() + + _, err := client.CreateThread(ctx, openai.ThreadRequest{ + Messages: []openai.ThreadMessage{ + { + Role: openai.ThreadMessageRoleUser, + Content: "Hello, World!", + }, + }, + }) + checks.NoError(t, err, "CreateThread error") + + _, err = client.RetrieveThread(ctx, threadID) + checks.NoError(t, err, "RetrieveThread error") + + _, err = client.ModifyThread(ctx, threadID, openai.ModifyThreadRequest{ + Metadata: map[string]interface{}{ + "key": "value", + }, + }) + checks.NoError(t, err, "ModifyThread error") + + _, err = client.DeleteThread(ctx, threadID) + checks.NoError(t, err, "DeleteThread error") +} + +// TestAzureThread Tests the thread endpoint of the API using the Azure mocked server. +func TestAzureThread(t *testing.T) { + threadID := "thread_abc123" + client, server, teardown := setupAzureTestServer() + defer teardown() + + server.RegisterHandler( + "/openai/threads/"+threadID, + func(w http.ResponseWriter, r *http.Request) { + switch r.Method { + case http.MethodGet: + resBytes, _ := json.Marshal(openai.Thread{ + ID: threadID, + Object: "thread", + CreatedAt: 1234567890, + }) + fmt.Fprintln(w, string(resBytes)) + case http.MethodPost: + var request openai.ThreadRequest + err := json.NewDecoder(r.Body).Decode(&request) + checks.NoError(t, err, "Decode error") + + resBytes, _ := json.Marshal(openai.Thread{ + ID: threadID, + Object: "thread", + CreatedAt: 1234567890, + }) + fmt.Fprintln(w, string(resBytes)) + case http.MethodDelete: + fmt.Fprintln(w, `{ + "id": "thread_abc123", + "object": "thread.deleted", + "deleted": true + }`) + } + }, + ) + + server.RegisterHandler( + "/openai/threads", + func(w http.ResponseWriter, r *http.Request) { + if r.Method == http.MethodPost { + var request openai.ModifyThreadRequest + err := json.NewDecoder(r.Body).Decode(&request) + checks.NoError(t, err, "Decode error") + + resBytes, _ := json.Marshal(openai.Thread{ + ID: threadID, + Object: "thread", + CreatedAt: 1234567890, + Metadata: request.Metadata, + }) + fmt.Fprintln(w, string(resBytes)) + } + }, + ) + + ctx := context.Background() + + _, err := client.CreateThread(ctx, openai.ThreadRequest{ + Messages: []openai.ThreadMessage{ + { + Role: openai.ThreadMessageRoleUser, + Content: "Hello, World!", + }, + }, + }) + checks.NoError(t, err, "CreateThread error") + + _, err = client.RetrieveThread(ctx, threadID) + checks.NoError(t, err, "RetrieveThread error") + + _, err = client.ModifyThread(ctx, threadID, openai.ModifyThreadRequest{ + Metadata: map[string]interface{}{ + "key": "value", + }, + }) + checks.NoError(t, err, "ModifyThread error") + + _, err = client.DeleteThread(ctx, threadID) + checks.NoError(t, err, "DeleteThread error") +} diff --git a/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/vector_store.go b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/vector_store.go new file mode 100644 index 0000000..682bb1c --- /dev/null +++ b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/vector_store.go @@ -0,0 +1,348 @@ +package openai + +import ( + "context" + "fmt" + "net/http" + "net/url" +) + +const ( + vectorStoresSuffix = "/vector_stores" + vectorStoresFilesSuffix = "/files" + vectorStoresFileBatchesSuffix = "/file_batches" +) + +type VectorStoreFileCount struct { + InProgress int `json:"in_progress"` + Completed int `json:"completed"` + Failed int `json:"failed"` + Cancelled int `json:"cancelled"` + Total int `json:"total"` +} + +type VectorStore struct { + ID string `json:"id"` + Object string `json:"object"` + CreatedAt int64 `json:"created_at"` + Name string `json:"name"` + UsageBytes int `json:"usage_bytes"` + FileCounts VectorStoreFileCount `json:"file_counts"` + Status string `json:"status"` + ExpiresAfter *VectorStoreExpires `json:"expires_after"` + ExpiresAt *int `json:"expires_at"` + Metadata map[string]any `json:"metadata"` + + httpHeader +} + +type VectorStoreExpires struct { + Anchor string `json:"anchor"` + Days int `json:"days"` +} + +// VectorStoreRequest provides the vector store request parameters. +type VectorStoreRequest struct { + Name string `json:"name,omitempty"` + FileIDs []string `json:"file_ids,omitempty"` + ExpiresAfter *VectorStoreExpires `json:"expires_after,omitempty"` + Metadata map[string]any `json:"metadata,omitempty"` +} + +// VectorStoresList is a list of vector store. +type VectorStoresList struct { + VectorStores []VectorStore `json:"data"` + LastID *string `json:"last_id"` + FirstID *string `json:"first_id"` + HasMore bool `json:"has_more"` + httpHeader +} + +type VectorStoreDeleteResponse struct { + ID string `json:"id"` + Object string `json:"object"` + Deleted bool `json:"deleted"` + + httpHeader +} + +type VectorStoreFile struct { + ID string `json:"id"` + Object string `json:"object"` + CreatedAt int64 `json:"created_at"` + VectorStoreID string `json:"vector_store_id"` + UsageBytes int `json:"usage_bytes"` + Status string `json:"status"` + + httpHeader +} + +type VectorStoreFileRequest struct { + FileID string `json:"file_id"` +} + +type VectorStoreFilesList struct { + VectorStoreFiles []VectorStoreFile `json:"data"` + FirstID *string `json:"first_id"` + LastID *string `json:"last_id"` + HasMore bool `json:"has_more"` + + httpHeader +} + +type VectorStoreFileBatch struct { + ID string `json:"id"` + Object string `json:"object"` + CreatedAt int64 `json:"created_at"` + VectorStoreID string `json:"vector_store_id"` + Status string `json:"status"` + FileCounts VectorStoreFileCount `json:"file_counts"` + + httpHeader +} + +type VectorStoreFileBatchRequest struct { + FileIDs []string `json:"file_ids"` +} + +// CreateVectorStore creates a new vector store. +func (c *Client) CreateVectorStore(ctx context.Context, request VectorStoreRequest) (response VectorStore, err error) { + req, _ := c.newRequest( + ctx, + http.MethodPost, + c.fullURL(vectorStoresSuffix), + withBody(request), + withBetaAssistantVersion(c.config.AssistantVersion), + ) + + err = c.sendRequest(req, &response) + return +} + +// RetrieveVectorStore retrieves an vector store. +func (c *Client) RetrieveVectorStore( + ctx context.Context, + vectorStoreID string, +) (response VectorStore, err error) { + urlSuffix := fmt.Sprintf("%s/%s", vectorStoresSuffix, vectorStoreID) + req, _ := c.newRequest(ctx, http.MethodGet, c.fullURL(urlSuffix), + withBetaAssistantVersion(c.config.AssistantVersion)) + + err = c.sendRequest(req, &response) + return +} + +// ModifyVectorStore modifies a vector store. +func (c *Client) ModifyVectorStore( + ctx context.Context, + vectorStoreID string, + request VectorStoreRequest, +) (response VectorStore, err error) { + urlSuffix := fmt.Sprintf("%s/%s", vectorStoresSuffix, vectorStoreID) + req, _ := c.newRequest(ctx, http.MethodPost, c.fullURL(urlSuffix), withBody(request), + withBetaAssistantVersion(c.config.AssistantVersion)) + + err = c.sendRequest(req, &response) + return +} + +// DeleteVectorStore deletes an vector store. +func (c *Client) DeleteVectorStore( + ctx context.Context, + vectorStoreID string, +) (response VectorStoreDeleteResponse, err error) { + urlSuffix := fmt.Sprintf("%s/%s", vectorStoresSuffix, vectorStoreID) + req, _ := c.newRequest(ctx, http.MethodDelete, c.fullURL(urlSuffix), + withBetaAssistantVersion(c.config.AssistantVersion)) + + err = c.sendRequest(req, &response) + return +} + +// ListVectorStores Lists the currently available vector store. +func (c *Client) ListVectorStores( + ctx context.Context, + pagination Pagination, +) (response VectorStoresList, err error) { + urlValues := url.Values{} + + if pagination.After != nil { + urlValues.Add("after", *pagination.After) + } + if pagination.Order != nil { + urlValues.Add("order", *pagination.Order) + } + if pagination.Limit != nil { + urlValues.Add("limit", fmt.Sprintf("%d", *pagination.Limit)) + } + if pagination.Before != nil { + urlValues.Add("before", *pagination.Before) + } + + encodedValues := "" + if len(urlValues) > 0 { + encodedValues = "?" + urlValues.Encode() + } + + urlSuffix := fmt.Sprintf("%s%s", vectorStoresSuffix, encodedValues) + req, _ := c.newRequest(ctx, http.MethodGet, c.fullURL(urlSuffix), + withBetaAssistantVersion(c.config.AssistantVersion)) + + err = c.sendRequest(req, &response) + return +} + +// CreateVectorStoreFile creates a new vector store file. +func (c *Client) CreateVectorStoreFile( + ctx context.Context, + vectorStoreID string, + request VectorStoreFileRequest, +) (response VectorStoreFile, err error) { + urlSuffix := fmt.Sprintf("%s/%s%s", vectorStoresSuffix, vectorStoreID, vectorStoresFilesSuffix) + req, _ := c.newRequest(ctx, http.MethodPost, c.fullURL(urlSuffix), + withBody(request), + withBetaAssistantVersion(c.config.AssistantVersion)) + + err = c.sendRequest(req, &response) + return +} + +// RetrieveVectorStoreFile retrieves a vector store file. +func (c *Client) RetrieveVectorStoreFile( + ctx context.Context, + vectorStoreID string, + fileID string, +) (response VectorStoreFile, err error) { + urlSuffix := fmt.Sprintf("%s/%s%s/%s", vectorStoresSuffix, vectorStoreID, vectorStoresFilesSuffix, fileID) + req, _ := c.newRequest(ctx, http.MethodGet, c.fullURL(urlSuffix), + withBetaAssistantVersion(c.config.AssistantVersion)) + + err = c.sendRequest(req, &response) + return +} + +// DeleteVectorStoreFile deletes an existing file. +func (c *Client) DeleteVectorStoreFile( + ctx context.Context, + vectorStoreID string, + fileID string, +) (err error) { + urlSuffix := fmt.Sprintf("%s/%s%s/%s", vectorStoresSuffix, vectorStoreID, vectorStoresFilesSuffix, fileID) + req, _ := c.newRequest(ctx, http.MethodDelete, c.fullURL(urlSuffix), + withBetaAssistantVersion(c.config.AssistantVersion)) + + err = c.sendRequest(req, nil) + return +} + +// ListVectorStoreFiles Lists the currently available files for a vector store. +func (c *Client) ListVectorStoreFiles( + ctx context.Context, + vectorStoreID string, + pagination Pagination, +) (response VectorStoreFilesList, err error) { + urlValues := url.Values{} + if pagination.After != nil { + urlValues.Add("after", *pagination.After) + } + if pagination.Limit != nil { + urlValues.Add("limit", fmt.Sprintf("%d", *pagination.Limit)) + } + if pagination.Before != nil { + urlValues.Add("before", *pagination.Before) + } + if pagination.Order != nil { + urlValues.Add("order", *pagination.Order) + } + + encodedValues := "" + if len(urlValues) > 0 { + encodedValues = "?" + urlValues.Encode() + } + + urlSuffix := fmt.Sprintf("%s/%s%s%s", vectorStoresSuffix, vectorStoreID, vectorStoresFilesSuffix, encodedValues) + req, _ := c.newRequest(ctx, http.MethodGet, c.fullURL(urlSuffix), + withBetaAssistantVersion(c.config.AssistantVersion)) + + err = c.sendRequest(req, &response) + return +} + +// CreateVectorStoreFileBatch creates a new vector store file batch. +func (c *Client) CreateVectorStoreFileBatch( + ctx context.Context, + vectorStoreID string, + request VectorStoreFileBatchRequest, +) (response VectorStoreFileBatch, err error) { + urlSuffix := fmt.Sprintf("%s/%s%s", vectorStoresSuffix, vectorStoreID, vectorStoresFileBatchesSuffix) + req, _ := c.newRequest(ctx, http.MethodPost, c.fullURL(urlSuffix), + withBody(request), + withBetaAssistantVersion(c.config.AssistantVersion)) + + err = c.sendRequest(req, &response) + return +} + +// RetrieveVectorStoreFileBatch retrieves a vector store file batch. +func (c *Client) RetrieveVectorStoreFileBatch( + ctx context.Context, + vectorStoreID string, + batchID string, +) (response VectorStoreFileBatch, err error) { + urlSuffix := fmt.Sprintf("%s/%s%s/%s", vectorStoresSuffix, vectorStoreID, vectorStoresFileBatchesSuffix, batchID) + req, _ := c.newRequest(ctx, http.MethodGet, c.fullURL(urlSuffix), + withBetaAssistantVersion(c.config.AssistantVersion)) + + err = c.sendRequest(req, &response) + return +} + +// CancelVectorStoreFileBatch cancel a new vector store file batch. +func (c *Client) CancelVectorStoreFileBatch( + ctx context.Context, + vectorStoreID string, + batchID string, +) (response VectorStoreFileBatch, err error) { + urlSuffix := fmt.Sprintf("%s/%s%s/%s%s", vectorStoresSuffix, + vectorStoreID, vectorStoresFileBatchesSuffix, batchID, "/cancel") + req, _ := c.newRequest(ctx, http.MethodPost, c.fullURL(urlSuffix), + withBetaAssistantVersion(c.config.AssistantVersion)) + + err = c.sendRequest(req, &response) + return +} + +// ListVectorStoreFiles Lists the currently available files for a vector store. +func (c *Client) ListVectorStoreFilesInBatch( + ctx context.Context, + vectorStoreID string, + batchID string, + pagination Pagination, +) (response VectorStoreFilesList, err error) { + urlValues := url.Values{} + if pagination.After != nil { + urlValues.Add("after", *pagination.After) + } + if pagination.Limit != nil { + urlValues.Add("limit", fmt.Sprintf("%d", *pagination.Limit)) + } + if pagination.Before != nil { + urlValues.Add("before", *pagination.Before) + } + if pagination.Order != nil { + urlValues.Add("order", *pagination.Order) + } + + encodedValues := "" + if len(urlValues) > 0 { + encodedValues = "?" + urlValues.Encode() + } + + urlSuffix := fmt.Sprintf("%s/%s%s/%s%s%s", vectorStoresSuffix, + vectorStoreID, vectorStoresFileBatchesSuffix, batchID, "/files", encodedValues) + req, _ := c.newRequest(ctx, http.MethodGet, c.fullURL(urlSuffix), + withBetaAssistantVersion(c.config.AssistantVersion)) + + err = c.sendRequest(req, &response) + return +} diff --git a/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/vector_store_test.go b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/vector_store_test.go new file mode 100644 index 0000000..58b9a85 --- /dev/null +++ b/go/pkg/mod/github.com/sashabaranov/go-openai@v1.40.5/vector_store_test.go @@ -0,0 +1,349 @@ +package openai_test + +import ( + "context" + + openai "github.com/sashabaranov/go-openai" + "github.com/sashabaranov/go-openai/internal/test/checks" + + "encoding/json" + "fmt" + "net/http" + "testing" +) + +// TestVectorStore Tests the vector store endpoint of the API using the mocked server. +func TestVectorStore(t *testing.T) { + vectorStoreID := "vs_abc123" + vectorStoreName := "TestStore" + vectorStoreFileID := "file-wB6RM6wHdA49HfS2DJ9fEyrH" + vectorStoreFileBatchID := "vsfb_abc123" + limit := 20 + order := "desc" + after := "vs_abc122" + before := "vs_abc123" + + client, server, teardown := setupOpenAITestServer() + defer teardown() + + server.RegisterHandler( + "/v1/vector_stores/"+vectorStoreID+"/files/"+vectorStoreFileID, + func(w http.ResponseWriter, r *http.Request) { + if r.Method == http.MethodGet { + resBytes, _ := json.Marshal(openai.VectorStoreFile{ + ID: vectorStoreFileID, + Object: "vector_store.file", + CreatedAt: 1234567890, + VectorStoreID: vectorStoreID, + Status: "completed", + }) + fmt.Fprintln(w, string(resBytes)) + } else if r.Method == http.MethodDelete { + fmt.Fprintln(w, `{ + id: "file-wB6RM6wHdA49HfS2DJ9fEyrH", + object: "vector_store.file.deleted", + deleted: true + }`) + } + }, + ) + + server.RegisterHandler( + "/v1/vector_stores/"+vectorStoreID+"/files", + func(w http.ResponseWriter, r *http.Request) { + if r.Method == http.MethodGet { + resBytes, _ := json.Marshal(openai.VectorStoreFilesList{ + VectorStoreFiles: []openai.VectorStoreFile{ + { + ID: vectorStoreFileID, + Object: "vector_store.file", + CreatedAt: 1234567890, + VectorStoreID: vectorStoreID, + }, + }, + }) + fmt.Fprintln(w, string(resBytes)) + } else if r.Method == http.MethodPost { + var request openai.VectorStoreFileRequest + err := json.NewDecoder(r.Body).Decode(&request) + checks.NoError(t, err, "Decode error") + + resBytes, _ := json.Marshal(openai.VectorStoreFile{ + ID: request.FileID, + Object: "vector_store.file", + CreatedAt: 1234567890, + VectorStoreID: vectorStoreID, + }) + fmt.Fprintln(w, string(resBytes)) + } + }, + ) + + server.RegisterHandler( + "/v1/vector_stores/"+vectorStoreID+"/file_batches/"+vectorStoreFileBatchID+"/files", + func(w http.ResponseWriter, r *http.Request) { + if r.Method == http.MethodGet { + resBytes, _ := json.Marshal(openai.VectorStoreFilesList{ + VectorStoreFiles: []openai.VectorStoreFile{ + { + ID: vectorStoreFileID, + Object: "vector_store.file", + CreatedAt: 1234567890, + VectorStoreID: vectorStoreID, + }, + }, + }) + fmt.Fprintln(w, string(resBytes)) + } + }, + ) + + server.RegisterHandler( + "/v1/vector_stores/"+vectorStoreID+"/file_batches/"+vectorStoreFileBatchID+"/cancel", + func(w http.ResponseWriter, r *http.Request) { + if r.Method == http.MethodPost { + resBytes, _ := json.Marshal(openai.VectorStoreFileBatch{ + ID: vectorStoreFileBatchID, + Object: "vector_store.file_batch", + CreatedAt: 1234567890, + VectorStoreID: vectorStoreID, + Status: "cancelling", + FileCounts: openai.VectorStoreFileCount{ + InProgress: 0, + Completed: 1, + Failed: 0, + Cancelled: 0, + Total: 0, + }, + }) + fmt.Fprintln(w, string(resBytes)) + } + }, + ) + + server.RegisterHandler( + "/v1/vector_stores/"+vectorStoreID+"/file_batches/"+vectorStoreFileBatchID, + func(w http.ResponseWriter, r *http.Request) { + if r.Method == http.MethodGet { + resBytes, _ := json.Marshal(openai.VectorStoreFileBatch{ + ID: vectorStoreFileBatchID, + Object: "vector_store.file_batch", + CreatedAt: 1234567890, + VectorStoreID: vectorStoreID, + Status: "completed", + FileCounts: openai.VectorStoreFileCount{ + Completed: 1, + }, + }) + fmt.Fprintln(w, string(resBytes)) + } else if r.Method == http.MethodPost { + resBytes, _ := json.Marshal(openai.VectorStoreFileBatch{ + ID: vectorStoreFileBatchID, + Object: "vector_store.file_batch", + CreatedAt: 1234567890, + VectorStoreID: vectorStoreID, + Status: "cancelling", + FileCounts: openai.VectorStoreFileCount{ + Completed: 1, + }, + }) + fmt.Fprintln(w, string(resBytes)) + } + }, + ) + + server.RegisterHandler( + "/v1/vector_stores/"+vectorStoreID+"/file_batches", + func(w http.ResponseWriter, r *http.Request) { + if r.Method == http.MethodPost { + var request openai.VectorStoreFileBatchRequest + err := json.NewDecoder(r.Body).Decode(&request) + checks.NoError(t, err, "Decode error") + + resBytes, _ := json.Marshal(openai.VectorStoreFileBatch{ + ID: vectorStoreFileBatchID, + Object: "vector_store.file_batch", + CreatedAt: 1234567890, + VectorStoreID: vectorStoreID, + Status: "completed", + FileCounts: openai.VectorStoreFileCount{ + InProgress: 0, + Completed: len(request.FileIDs), + Failed: 0, + Cancelled: 0, + Total: 0, + }, + }) + fmt.Fprintln(w, string(resBytes)) + } + }, + ) + + server.RegisterHandler( + "/v1/vector_stores/"+vectorStoreID, + func(w http.ResponseWriter, r *http.Request) { + switch r.Method { + case http.MethodGet: + resBytes, _ := json.Marshal(openai.VectorStore{ + ID: vectorStoreID, + Object: "vector_store", + CreatedAt: 1234567890, + Name: vectorStoreName, + }) + fmt.Fprintln(w, string(resBytes)) + case http.MethodPost: + var request openai.VectorStore + err := json.NewDecoder(r.Body).Decode(&request) + checks.NoError(t, err, "Decode error") + + resBytes, _ := json.Marshal(openai.VectorStore{ + ID: vectorStoreID, + Object: "vector_store", + CreatedAt: 1234567890, + Name: request.Name, + }) + fmt.Fprintln(w, string(resBytes)) + case http.MethodDelete: + fmt.Fprintln(w, `{ + "id": "vectorstore_abc123", + "object": "vector_store.deleted", + "deleted": true + }`) + } + }, + ) + + server.RegisterHandler( + "/v1/vector_stores", + func(w http.ResponseWriter, r *http.Request) { + if r.Method == http.MethodPost { + var request openai.VectorStoreRequest + err := json.NewDecoder(r.Body).Decode(&request) + checks.NoError(t, err, "Decode error") + + resBytes, _ := json.Marshal(openai.VectorStore{ + ID: vectorStoreID, + Object: "vector_store", + CreatedAt: 1234567890, + Name: request.Name, + FileCounts: openai.VectorStoreFileCount{ + InProgress: 0, + Completed: 0, + Failed: 0, + Cancelled: 0, + Total: 0, + }, + }) + fmt.Fprintln(w, string(resBytes)) + } else if r.Method == http.MethodGet { + resBytes, _ := json.Marshal(openai.VectorStoresList{ + LastID: &vectorStoreID, + FirstID: &vectorStoreID, + VectorStores: []openai.VectorStore{ + { + ID: vectorStoreID, + Object: "vector_store", + CreatedAt: 1234567890, + Name: vectorStoreName, + }, + }, + }) + fmt.Fprintln(w, string(resBytes)) + } + }, + ) + + ctx := context.Background() + + t.Run("create_vector_store", func(t *testing.T) { + _, err := client.CreateVectorStore(ctx, openai.VectorStoreRequest{ + Name: vectorStoreName, + }) + checks.NoError(t, err, "CreateVectorStore error") + }) + + t.Run("retrieve_vector_store", func(t *testing.T) { + _, err := client.RetrieveVectorStore(ctx, vectorStoreID) + checks.NoError(t, err, "RetrieveVectorStore error") + }) + + t.Run("delete_vector_store", func(t *testing.T) { + _, err := client.DeleteVectorStore(ctx, vectorStoreID) + checks.NoError(t, err, "DeleteVectorStore error") + }) + + t.Run("list_vector_store", func(t *testing.T) { + _, err := client.ListVectorStores(context.TODO(), openai.Pagination{ + Limit: &limit, + Order: &order, + After: &after, + Before: &before, + }) + checks.NoError(t, err, "ListVectorStores error") + }) + + t.Run("create_vector_store_file", func(t *testing.T) { + _, err := client.CreateVectorStoreFile(context.TODO(), vectorStoreID, openai.VectorStoreFileRequest{ + FileID: vectorStoreFileID, + }) + checks.NoError(t, err, "CreateVectorStoreFile error") + }) + + t.Run("list_vector_store_files", func(t *testing.T) { + _, err := client.ListVectorStoreFiles(ctx, vectorStoreID, openai.Pagination{ + Limit: &limit, + Order: &order, + After: &after, + Before: &before, + }) + checks.NoError(t, err, "ListVectorStoreFiles error") + }) + + t.Run("retrieve_vector_store_file", func(t *testing.T) { + _, err := client.RetrieveVectorStoreFile(ctx, vectorStoreID, vectorStoreFileID) + checks.NoError(t, err, "RetrieveVectorStoreFile error") + }) + + t.Run("delete_vector_store_file", func(t *testing.T) { + err := client.DeleteVectorStoreFile(ctx, vectorStoreID, vectorStoreFileID) + checks.NoError(t, err, "DeleteVectorStoreFile error") + }) + + t.Run("modify_vector_store", func(t *testing.T) { + _, err := client.ModifyVectorStore(ctx, vectorStoreID, openai.VectorStoreRequest{ + Name: vectorStoreName, + }) + checks.NoError(t, err, "ModifyVectorStore error") + }) + + t.Run("create_vector_store_file_batch", func(t *testing.T) { + _, err := client.CreateVectorStoreFileBatch(ctx, vectorStoreID, openai.VectorStoreFileBatchRequest{ + FileIDs: []string{vectorStoreFileID}, + }) + checks.NoError(t, err, "CreateVectorStoreFileBatch error") + }) + + t.Run("retrieve_vector_store_file_batch", func(t *testing.T) { + _, err := client.RetrieveVectorStoreFileBatch(ctx, vectorStoreID, vectorStoreFileBatchID) + checks.NoError(t, err, "RetrieveVectorStoreFileBatch error") + }) + + t.Run("list_vector_store_files_in_batch", func(t *testing.T) { + _, err := client.ListVectorStoreFilesInBatch( + ctx, + vectorStoreID, + vectorStoreFileBatchID, + openai.Pagination{ + Limit: &limit, + Order: &order, + After: &after, + Before: &before, + }) + checks.NoError(t, err, "ListVectorStoreFilesInBatch error") + }) + + t.Run("cancel_vector_store_file_batch", func(t *testing.T) { + _, err := client.CancelVectorStoreFileBatch(ctx, vectorStoreID, vectorStoreFileBatchID) + checks.NoError(t, err, "CancelVectorStoreFileBatch error") + }) +} diff --git a/go/pkg/openai/client.go b/go/pkg/openai/client.go new file mode 100644 index 0000000..7db3dc9 --- /dev/null +++ b/go/pkg/openai/client.go @@ -0,0 +1,215 @@ +package openai + +import ( + "context" + "errors" + "fmt" + "log" + "time" + + "github.com/microsoft/TinyTroupe/go/pkg/config" + "github.com/sashabaranov/go-openai" +) + +// Client wraps the OpenAI client with TinyTroupe-specific functionality +type Client struct { + client *openai.Client + config *config.Config +} + +// NewClient creates a new OpenAI client +func NewClient(cfg *config.Config) *Client { + var client *openai.Client + + if cfg.APIType == "azure" { + clientConfig := openai.DefaultAzureConfig(cfg.APIKey, cfg.AzureEndpoint) + client = openai.NewClientWithConfig(clientConfig) + } else { + client = openai.NewClient(cfg.APIKey) + } + + return &Client{ + client: client, + config: cfg, + } +} + +// ContentPart represents a part of message content +type ContentPart struct { + Type string `json:"type"` + Text string `json:"text"` +} + +// MessageContent can be either a string or an array of ContentParts +type MessageContent interface{} + +// Message represents a conversation message with flexible content +type Message struct { + Role string `json:"role"` + Content MessageContent `json:"content"` +} + +// NewSimpleMessage creates a message with simple string content +func NewSimpleMessage(role, content string) Message { + return Message{ + Role: role, + Content: content, + } +} + +// NewComplexMessage creates a message with structured content +func NewComplexMessage(role, text string) Message { + return Message{ + Role: role, + Content: []ContentPart{ + {Type: "text", Text: text}, + }, + } +} + +// ResponseFormat represents the response format configuration +type ResponseFormat struct { + Type string `json:"type"` +} + +// ChatCompletionOptions provides additional options for chat completion +type ChatCompletionOptions struct { + ResponseFormat *ResponseFormat `json:"response_format,omitempty"` + Tools []interface{} `json:"tools,omitempty"` + MaxCompletionTokens *int `json:"max_completion_tokens,omitempty"` +} + +// ChatResponse represents the response from a chat completion +type ChatResponse struct { + Content string + Usage openai.Usage +} + +// ChatCompletion sends a chat completion request +func (c *Client) ChatCompletion(ctx context.Context, messages []Message) (*ChatResponse, error) { + return c.ChatCompletionWithOptions(ctx, messages, nil) +} + +// ChatCompletionWithOptions sends a chat completion request with additional options +func (c *Client) ChatCompletionWithOptions(ctx context.Context, messages []Message, options *ChatCompletionOptions) (*ChatResponse, error) { + // Convert our messages to OpenAI format + openaiMessages := make([]openai.ChatCompletionMessage, len(messages)) + for i, msg := range messages { + openaiMsg := openai.ChatCompletionMessage{ + Role: msg.Role, + } + + // Handle different content types + switch content := msg.Content.(type) { + case string: + openaiMsg.Content = content + case []ContentPart: + // Convert ContentParts to OpenAI format + parts := make([]openai.ChatMessagePart, len(content)) + for j, part := range content { + parts[j] = openai.ChatMessagePart{ + Type: openai.ChatMessagePartType(part.Type), + Text: part.Text, + } + } + openaiMsg.MultiContent = parts + default: + return nil, fmt.Errorf("unsupported content type: %T", content) + } + + openaiMessages[i] = openaiMsg + } + + req := openai.ChatCompletionRequest{ + Model: c.config.Model, + Messages: openaiMessages, + Temperature: float32(c.config.Temperature), + TopP: float32(c.config.TopP), + FrequencyPenalty: float32(c.config.FrequencyPenalty), + PresencePenalty: float32(c.config.PresencePenalty), + } + + // Handle max tokens - prefer MaxCompletionTokens if provided in options + if options != nil && options.MaxCompletionTokens != nil { + req.MaxTokens = *options.MaxCompletionTokens + } else { + req.MaxTokens = c.config.MaxTokens + } + + // Add optional parameters if provided + if options != nil { + if options.ResponseFormat != nil { + // Note: The go-openai library may need to be updated to support response_format + // This is a placeholder for when the library supports it + } + if len(options.Tools) > 0 { + // Note: Tools support would need to be added here when the library supports it + } + } + + // Add timeout to context + timeoutCtx, cancel := context.WithTimeout(ctx, c.config.Timeout) + defer cancel() + + // Retry logic + var resp openai.ChatCompletionResponse + var err error + + for attempt := 0; attempt < c.config.MaxAttempts; attempt++ { + resp, err = c.client.CreateChatCompletion(timeoutCtx, req) + if err == nil { + break + } + + var apiErr *openai.APIError + if errors.As(err, &apiErr) { + log.Printf("OpenAI API error (attempt %d/%d): type=%s code=%v msg=%s", + attempt+1, c.config.MaxAttempts, apiErr.Type, apiErr.Code, apiErr.Message) + } else { + log.Printf("OpenAI request failed (attempt %d/%d): %v", + attempt+1, c.config.MaxAttempts, err) + } + + if attempt < c.config.MaxAttempts-1 { + // Exponential backoff + waitTime := time.Duration(attempt+1) * time.Second + log.Printf("Retrying in %v", waitTime) + time.Sleep(waitTime) + } + } + + if err != nil { + return nil, fmt.Errorf("openai request failed after %d attempts: %w", c.config.MaxAttempts, err) + } + + if len(resp.Choices) == 0 { + return nil, fmt.Errorf("no choices returned from OpenAI") + } + + return &ChatResponse{ + Content: resp.Choices[0].Message.Content, + Usage: resp.Usage, + }, nil +} + +// CreateEmbedding creates an embedding for the given text +func (c *Client) CreateEmbedding(ctx context.Context, text string) ([]float32, error) { + req := openai.EmbeddingRequest{ + Input: []string{text}, + Model: openai.EmbeddingModel(c.config.EmbeddingModel), + } + + timeoutCtx, cancel := context.WithTimeout(ctx, c.config.Timeout) + defer cancel() + + resp, err := c.client.CreateEmbeddings(timeoutCtx, req) + if err != nil { + return nil, fmt.Errorf("embedding request failed: %w", err) + } + + if len(resp.Data) == 0 { + return nil, fmt.Errorf("no embeddings returned") + } + + return resp.Data[0].Embedding, nil +} diff --git a/go/pkg/openai/client_test.go b/go/pkg/openai/client_test.go new file mode 100644 index 0000000..d8130f1 --- /dev/null +++ b/go/pkg/openai/client_test.go @@ -0,0 +1,96 @@ +package openai + +import ( + "context" + "testing" + + "github.com/microsoft/TinyTroupe/go/pkg/config" +) + +func TestNewClient(t *testing.T) { + cfg := config.DefaultConfig() + client := NewClient(cfg) + + if client == nil { + t.Fatal("NewClient returned nil") + } + + if client.config != cfg { + t.Error("Client config not set correctly") + } + + if client.client == nil { + t.Error("OpenAI client not initialized") + } +} + +func TestNewClientAzure(t *testing.T) { + cfg := config.DefaultConfig() + cfg.APIType = "azure" + cfg.AzureEndpoint = "https://test.openai.azure.com/" + + client := NewClient(cfg) + + if client == nil { + t.Fatal("NewClient returned nil for Azure config") + } + + if client.config != cfg { + t.Error("Client config not set correctly for Azure") + } + + if client.client == nil { + t.Error("Azure OpenAI client not initialized") + } +} + +func TestMessageStruct(t *testing.T) { + msg := Message{ + Role: "user", + Content: "Hello, world!", + } + + if msg.Role != "user" { + t.Errorf("Expected role 'user', got '%s'", msg.Role) + } + + if msg.Content != "Hello, world!" { + t.Errorf("Expected content 'Hello, world!', got '%s'", msg.Content) + } +} + +func TestChatCompletionWithoutAPI(t *testing.T) { + // Test that the function is structured correctly without making actual API calls + cfg := config.DefaultConfig() + cfg.APIKey = "fake-key-for-testing" + client := NewClient(cfg) + + messages := []Message{ + {Role: "user", Content: "Hello"}, + } + + // This will fail due to network/auth issues but we can test the structure + ctx := context.Background() + _, err := client.ChatCompletion(ctx, messages) + + // We expect an error since we're using a fake API key + if err == nil { + t.Log("Unexpected success - API call should fail with fake key") + } +} + +func TestCreateEmbeddingWithoutAPI(t *testing.T) { + // Test that the function is structured correctly without making actual API calls + cfg := config.DefaultConfig() + cfg.APIKey = "fake-key-for-testing" + client := NewClient(cfg) + + // This will fail due to network/auth issues but we can test the structure + ctx := context.Background() + _, err := client.CreateEmbedding(ctx, "test text") + + // We expect an error since we're using a fake API key + if err == nil { + t.Log("Unexpected success - API call should fail with fake key") + } +} diff --git a/go/pkg/profiling/profiling.go b/go/pkg/profiling/profiling.go new file mode 100644 index 0000000..c31ac2f --- /dev/null +++ b/go/pkg/profiling/profiling.go @@ -0,0 +1,531 @@ +// Package profiling provides performance profiling and monitoring capabilities. +// This module handles performance monitoring, memory usage tracking, and bottleneck identification. +package profiling + +import ( + "context" + "fmt" + "runtime" + "sync" + "time" +) + +// ProfileType represents different types of profiling operations +type ProfileType string + +const ( + CPUProfile ProfileType = "cpu" + MemoryProfile ProfileType = "memory" + TimeProfile ProfileType = "time" + EventProfile ProfileType = "event" +) + +// ProfilerConfig holds configuration for profiling +type ProfilerConfig struct { + SampleInterval time.Duration `json:"sample_interval"` + MaxSamples int `json:"max_samples"` + EnableMetrics map[string]bool `json:"enable_metrics"` + OutputFormat string `json:"output_format"` + Metadata map[string]interface{} `json:"metadata"` +} + +// DefaultProfilerConfig returns a default configuration +func DefaultProfilerConfig() *ProfilerConfig { + return &ProfilerConfig{ + SampleInterval: 100 * time.Millisecond, + MaxSamples: 1000, + EnableMetrics: map[string]bool{ + "cpu": true, + "memory": true, + "time": true, + "events": true, + }, + OutputFormat: "json", + Metadata: make(map[string]interface{}), + } +} + +// ProfileData represents collected profiling data +type ProfileData struct { + Type ProfileType `json:"type"` + StartTime time.Time `json:"start_time"` + EndTime time.Time `json:"end_time"` + Duration time.Duration `json:"duration"` + Samples []Sample `json:"samples"` + Summary map[string]interface{} `json:"summary"` + Metadata map[string]interface{} `json:"metadata"` +} + +// Sample represents a single profiling sample +type Sample struct { + Timestamp time.Time `json:"timestamp"` + CPUUsage float64 `json:"cpu_usage,omitempty"` + MemoryUsage int64 `json:"memory_usage,omitempty"` + EventName string `json:"event_name,omitempty"` + EventData map[string]interface{} `json:"event_data,omitempty"` + Metadata map[string]interface{} `json:"metadata,omitempty"` +} + +// Profiler interface defines profiling capabilities +type Profiler interface { + // Start begins profiling with the given configuration + Start(ctx context.Context, config *ProfilerConfig) error + + // Stop ends profiling and returns results + Stop() (*ProfileData, error) + + // RecordEvent records a custom event + RecordEvent(name string, data map[string]interface{}) error + + // AddMetric adds a custom metric to the current profile + AddMetric(name string, value interface{}) error + + // IsRunning returns whether profiling is currently active + IsRunning() bool + + // GetSnapshot returns current profiling data without stopping + GetSnapshot() (*ProfileData, error) +} + +// SystemProfiler implements profiling for system metrics +type SystemProfiler struct { + config *ProfilerConfig + isRunning bool + startTime time.Time + samples []Sample + events []Sample + metrics map[string]interface{} + mutex sync.RWMutex + stopChannel chan struct{} + ctx context.Context + cancel context.CancelFunc +} + +// NewSystemProfiler creates a new system profiler +func NewSystemProfiler() *SystemProfiler { + return &SystemProfiler{ + samples: make([]Sample, 0), + events: make([]Sample, 0), + metrics: make(map[string]interface{}), + stopChannel: make(chan struct{}), + } +} + +// Start begins profiling with the given configuration +func (sp *SystemProfiler) Start(ctx context.Context, config *ProfilerConfig) error { + sp.mutex.Lock() + defer sp.mutex.Unlock() + + if sp.isRunning { + return fmt.Errorf("profiler is already running") + } + + if config == nil { + config = DefaultProfilerConfig() + } + + sp.config = config + sp.isRunning = true + sp.startTime = time.Now() + sp.samples = make([]Sample, 0, config.MaxSamples) + sp.events = make([]Sample, 0) + // Don't reinitialize metrics - preserve any metrics added before Start + if sp.metrics == nil { + sp.metrics = make(map[string]interface{}) + } + + // Create cancellable context + sp.ctx, sp.cancel = context.WithCancel(ctx) + + // Start background sampling + go sp.backgroundSampling() + + return nil +} + +// Stop ends profiling and returns results +func (sp *SystemProfiler) Stop() (*ProfileData, error) { + sp.mutex.Lock() + defer sp.mutex.Unlock() + + if !sp.isRunning { + return nil, fmt.Errorf("profiler is not running") + } + + // Signal stop and wait for background goroutine + sp.cancel() + close(sp.stopChannel) + sp.isRunning = false + + endTime := time.Now() + duration := endTime.Sub(sp.startTime) + + // Combine samples and events + allSamples := make([]Sample, 0, len(sp.samples)+len(sp.events)) + allSamples = append(allSamples, sp.samples...) + allSamples = append(allSamples, sp.events...) + + // Generate summary + summary := sp.generateSummary(allSamples, duration) + + profileData := &ProfileData{ + Type: "combined", + StartTime: sp.startTime, + EndTime: endTime, + Duration: duration, + Samples: allSamples, + Summary: summary, + Metadata: sp.config.Metadata, + } + + return profileData, nil +} + +// RecordEvent records a custom event +func (sp *SystemProfiler) RecordEvent(name string, data map[string]interface{}) error { + sp.mutex.Lock() + defer sp.mutex.Unlock() + + return sp.recordEventUnsafe(name, data) +} + +// recordEventUnsafe records an event without acquiring the mutex (internal use) +func (sp *SystemProfiler) recordEventUnsafe(name string, data map[string]interface{}) error { + if !sp.isRunning { + return fmt.Errorf("profiler is not running") + } + + event := Sample{ + Timestamp: time.Now(), + EventName: name, + EventData: data, + Metadata: map[string]interface{}{"type": "event"}, + } + + sp.events = append(sp.events, event) + return nil +} + +// AddMetric adds a custom metric to the current profile +func (sp *SystemProfiler) AddMetric(name string, value interface{}) error { + sp.mutex.Lock() + defer sp.mutex.Unlock() + + if !sp.isRunning { + return fmt.Errorf("profiler is not running") + } + + sp.metrics[name] = value + return nil +} + +// IsRunning returns whether profiling is currently active +func (sp *SystemProfiler) IsRunning() bool { + sp.mutex.RLock() + defer sp.mutex.RUnlock() + return sp.isRunning +} + +// GetSnapshot returns current profiling data without stopping +func (sp *SystemProfiler) GetSnapshot() (*ProfileData, error) { + sp.mutex.RLock() + defer sp.mutex.RUnlock() + + if !sp.isRunning { + return nil, fmt.Errorf("profiler is not running") + } + + now := time.Now() + duration := now.Sub(sp.startTime) + + // Create snapshot of current samples + snapshotSamples := make([]Sample, len(sp.samples)+len(sp.events)) + copy(snapshotSamples, sp.samples) + copy(snapshotSamples[len(sp.samples):], sp.events) + + summary := sp.generateSummary(snapshotSamples, duration) + + profileData := &ProfileData{ + Type: "snapshot", + StartTime: sp.startTime, + EndTime: now, + Duration: duration, + Samples: snapshotSamples, + Summary: summary, + Metadata: sp.config.Metadata, + } + + return profileData, nil +} + +// backgroundSampling runs in the background collecting system metrics +func (sp *SystemProfiler) backgroundSampling() { + ticker := time.NewTicker(sp.config.SampleInterval) + defer ticker.Stop() + + for { + select { + case <-sp.ctx.Done(): + return + case <-sp.stopChannel: + return + case <-ticker.C: + sp.collectSample() + } + } +} + +// collectSample collects a single sample of system metrics +func (sp *SystemProfiler) collectSample() { + sp.mutex.Lock() + defer sp.mutex.Unlock() + + if !sp.isRunning || len(sp.samples) >= sp.config.MaxSamples { + return + } + + var memStats runtime.MemStats + runtime.ReadMemStats(&memStats) + + sample := Sample{ + Timestamp: time.Now(), + MemoryUsage: int64(memStats.Alloc), + CPUUsage: sp.estimateCPUUsage(), + Metadata: map[string]interface{}{ + "type": "system_sample", + "heap_objects": memStats.HeapObjects, + "gc_cycles": memStats.NumGC, + "goroutines": runtime.NumGoroutine(), + }, + } + + sp.samples = append(sp.samples, sample) +} + +// estimateCPUUsage provides a simple CPU usage estimation +func (sp *SystemProfiler) estimateCPUUsage() float64 { + // Simple CPU usage estimation based on goroutine count + // In a real implementation, you'd use more sophisticated methods + goroutines := float64(runtime.NumGoroutine()) + cpus := float64(runtime.NumCPU()) + + // Rough estimation: more goroutines = higher CPU usage + usage := (goroutines / (cpus * 10)) * 100 + if usage > 100 { + usage = 100 + } + + return usage +} + +// generateSummary creates a summary of profiling data +func (sp *SystemProfiler) generateSummary(samples []Sample, duration time.Duration) map[string]interface{} { + summary := map[string]interface{}{ + "sample_count": len(samples), + "duration": duration.String(), + "start_time": sp.startTime, + } + + if len(samples) == 0 { + // Even with no samples, we should include custom metrics + if len(sp.metrics) > 0 { + summary["custom_metrics"] = sp.metrics + } + return summary + } + + // Calculate memory statistics + var totalMemory, maxMemory, minMemory int64 + var totalCPU, maxCPU, minCPU float64 + var memorySamples, cpuSamples int + + maxMemory = 0 + minMemory = int64(^uint64(0) >> 1) // Max int64 + maxCPU = 0 + minCPU = 100 + + eventCounts := make(map[string]int) + + for _, sample := range samples { + if sample.EventName != "" { + eventCounts[sample.EventName]++ + } else { + // System metric sample + if sample.MemoryUsage > 0 { + totalMemory += sample.MemoryUsage + memorySamples++ + if sample.MemoryUsage > maxMemory { + maxMemory = sample.MemoryUsage + } + if sample.MemoryUsage < minMemory { + minMemory = sample.MemoryUsage + } + } + + if sample.CPUUsage >= 0 { + totalCPU += sample.CPUUsage + cpuSamples++ + if sample.CPUUsage > maxCPU { + maxCPU = sample.CPUUsage + } + if sample.CPUUsage < minCPU { + minCPU = sample.CPUUsage + } + } + } + } + + // Add memory statistics + if memorySamples > 0 { + summary["memory"] = map[string]interface{}{ + "average_bytes": totalMemory / int64(memorySamples), + "max_bytes": maxMemory, + "min_bytes": minMemory, + "sample_count": memorySamples, + } + } + + // Add CPU statistics + if cpuSamples > 0 { + summary["cpu"] = map[string]interface{}{ + "average_percent": totalCPU / float64(cpuSamples), + "max_percent": maxCPU, + "min_percent": minCPU, + "sample_count": cpuSamples, + } + } + + // Add event statistics + if len(eventCounts) > 0 { + summary["events"] = map[string]interface{}{ + "event_counts": eventCounts, + "total_events": len(eventCounts), + "unique_events": len(eventCounts), + } + } + + // Add custom metrics + if len(sp.metrics) > 0 { + summary["custom_metrics"] = sp.metrics + } + + return summary +} + +// SimulationProfiler is a specialized profiler for TinyTroupe simulations +type SimulationProfiler struct { + *SystemProfiler + agentMetrics map[string]*AgentProfile + worldMetrics *WorldProfile +} + +// AgentProfile holds profiling data for a single agent +type AgentProfile struct { + AgentID string `json:"agent_id"` + MessageCount int `json:"message_count"` + ActionCount int `json:"action_count"` + ResponseTimes []time.Duration `json:"response_times"` + LastActivity time.Time `json:"last_activity"` + Metadata map[string]interface{} `json:"metadata"` +} + +// WorldProfile holds profiling data for the simulation world +type WorldProfile struct { + WorldID string `json:"world_id"` + AgentCount int `json:"agent_count"` + TotalMessages int `json:"total_messages"` + SimulationSteps int `json:"simulation_steps"` + StartTime time.Time `json:"start_time"` + Metadata map[string]interface{} `json:"metadata"` +} + +// NewSimulationProfiler creates a new simulation-specific profiler +func NewSimulationProfiler() *SimulationProfiler { + return &SimulationProfiler{ + SystemProfiler: NewSystemProfiler(), + agentMetrics: make(map[string]*AgentProfile), + worldMetrics: &WorldProfile{ + Metadata: make(map[string]interface{}), + }, + } +} + +// RecordAgentAction records an action performed by an agent +func (sp *SimulationProfiler) RecordAgentAction(agentID string, actionType string, responseTime time.Duration) error { + sp.mutex.Lock() + defer sp.mutex.Unlock() + + if !sp.isRunning { + return fmt.Errorf("profiler is not running") + } + + // Get or create agent profile + agentProfile, exists := sp.agentMetrics[agentID] + if !exists { + agentProfile = &AgentProfile{ + AgentID: agentID, + ResponseTimes: make([]time.Duration, 0), + Metadata: make(map[string]interface{}), + } + sp.agentMetrics[agentID] = agentProfile + } + + // Update agent metrics + agentProfile.ActionCount++ + agentProfile.ResponseTimes = append(agentProfile.ResponseTimes, responseTime) + agentProfile.LastActivity = time.Now() + + if actionType == "message" { + agentProfile.MessageCount++ + } + + // Record as event + return sp.recordEventUnsafe("agent_action", map[string]interface{}{ + "agent_id": agentID, + "action_type": actionType, + "response_time": responseTime, + }) +} + +// RecordWorldStep records a simulation step +func (sp *SimulationProfiler) RecordWorldStep(worldID string, stepNumber int, agentCount int) error { + sp.mutex.Lock() + defer sp.mutex.Unlock() + + if !sp.isRunning { + return fmt.Errorf("profiler is not running") + } + + // Update world metrics + sp.worldMetrics.WorldID = worldID + sp.worldMetrics.AgentCount = agentCount + sp.worldMetrics.SimulationSteps = stepNumber + + // Record as event + return sp.recordEventUnsafe("world_step", map[string]interface{}{ + "world_id": worldID, + "step_number": stepNumber, + "agent_count": agentCount, + }) +} + +// GetAgentProfile returns profiling data for a specific agent +func (sp *SimulationProfiler) GetAgentProfile(agentID string) (*AgentProfile, error) { + sp.mutex.RLock() + defer sp.mutex.RUnlock() + + profile, exists := sp.agentMetrics[agentID] + if !exists { + return nil, fmt.Errorf("no profile found for agent %s", agentID) + } + + return profile, nil +} + +// GetWorldProfile returns profiling data for the simulation world +func (sp *SimulationProfiler) GetWorldProfile() *WorldProfile { + sp.mutex.RLock() + defer sp.mutex.RUnlock() + + return sp.worldMetrics +} diff --git a/go/pkg/profiling/profiling_test.go b/go/pkg/profiling/profiling_test.go new file mode 100644 index 0000000..da92659 --- /dev/null +++ b/go/pkg/profiling/profiling_test.go @@ -0,0 +1,596 @@ +package profiling + +import ( + "context" + "fmt" + "testing" + "time" +) + +func TestSystemProfilerCreation(t *testing.T) { + profiler := NewSystemProfiler() + if profiler == nil { + t.Fatal("NewSystemProfiler returned nil") + } + + if profiler.IsRunning() { + t.Error("New profiler should not be running") + } +} + +func TestDefaultProfilerConfig(t *testing.T) { + config := DefaultProfilerConfig() + if config == nil { + t.Fatal("DefaultProfilerConfig returned nil") + } + + if config.SampleInterval <= 0 { + t.Error("Sample interval should be positive") + } + + if config.MaxSamples <= 0 { + t.Error("Max samples should be positive") + } + + if !config.EnableMetrics["cpu"] { + t.Error("CPU metrics should be enabled by default") + } + + if !config.EnableMetrics["memory"] { + t.Error("Memory metrics should be enabled by default") + } +} + +func TestProfilerStartStop(t *testing.T) { + profiler := NewSystemProfiler() + ctx := context.Background() + + // Test starting profiler + err := profiler.Start(ctx, nil) // Use default config + if err != nil { + t.Fatalf("Failed to start profiler: %v", err) + } + + if !profiler.IsRunning() { + t.Error("Profiler should be running after start") + } + + // Test starting again (should fail) + err = profiler.Start(ctx, nil) + if err == nil { + t.Error("Starting profiler twice should return error") + } + + // Let it run for a bit to collect samples + time.Sleep(250 * time.Millisecond) + + // Test stopping profiler + data, err := profiler.Stop() + if err != nil { + t.Fatalf("Failed to stop profiler: %v", err) + } + + if profiler.IsRunning() { + t.Error("Profiler should not be running after stop") + } + + if data == nil { + t.Fatal("Stop should return profile data") + } + + // Test stopping again (should fail) + _, err = profiler.Stop() + if err == nil { + t.Error("Stopping profiler twice should return error") + } +} + +func TestProfileDataCollection(t *testing.T) { + profiler := NewSystemProfiler() + ctx := context.Background() + + config := DefaultProfilerConfig() + config.SampleInterval = 50 * time.Millisecond + config.MaxSamples = 10 + + err := profiler.Start(ctx, config) + if err != nil { + t.Fatalf("Failed to start profiler: %v", err) + } + + // Let it collect some samples + time.Sleep(300 * time.Millisecond) + + data, err := profiler.Stop() + if err != nil { + t.Fatalf("Failed to stop profiler: %v", err) + } + + // Verify data structure + if data.Type == "" { + t.Error("Profile data should have a type") + } + + if data.StartTime.IsZero() { + t.Error("Profile data should have start time") + } + + if data.EndTime.IsZero() { + t.Error("Profile data should have end time") + } + + if data.Duration <= 0 { + t.Error("Profile data should have positive duration") + } + + if len(data.Samples) == 0 { + t.Error("Profile data should contain samples") + } + + if data.Summary == nil { + t.Error("Profile data should have summary") + } + + // Check summary contents + if sampleCount, exists := data.Summary["sample_count"]; !exists { + t.Error("Summary should include sample count") + } else if count, ok := sampleCount.(int); !ok || count <= 0 { + t.Error("Sample count should be positive integer") + } +} + +func TestEventRecording(t *testing.T) { + profiler := NewSystemProfiler() + ctx := context.Background() + + // Test recording event when not running (should fail) + err := profiler.RecordEvent("test_event", map[string]interface{}{"key": "value"}) + if err == nil { + t.Error("Recording event when not running should fail") + } + + // Start profiler + err = profiler.Start(ctx, nil) + if err != nil { + t.Fatalf("Failed to start profiler: %v", err) + } + + // Test recording events + err = profiler.RecordEvent("agent_action", map[string]interface{}{ + "agent_id": "test_agent", + "action": "speak", + }) + if err != nil { + t.Errorf("Failed to record event: %v", err) + } + + err = profiler.RecordEvent("simulation_step", map[string]interface{}{ + "step": 1, + "time": time.Now(), + }) + if err != nil { + t.Errorf("Failed to record event: %v", err) + } + + // Stop and check data + data, err := profiler.Stop() + if err != nil { + t.Fatalf("Failed to stop profiler: %v", err) + } + + // Verify events were recorded + eventCount := 0 + for _, sample := range data.Samples { + if sample.EventName != "" { + eventCount++ + } + } + + if eventCount < 2 { + t.Errorf("Expected at least 2 events, got %d", eventCount) + } + + // Check summary for events + if events, exists := data.Summary["events"]; exists { + eventMap, ok := events.(map[string]interface{}) + if !ok { + t.Error("Events summary should be a map") + } else { + if eventCounts, exists := eventMap["event_counts"]; !exists { + t.Error("Events summary should include event counts") + } else if _, ok := eventCounts.(map[string]int); !ok { + t.Error("Event counts should be a map of strings to ints") + } + } + } +} + +func TestCustomMetrics(t *testing.T) { + profiler := NewSystemProfiler() + ctx := context.Background() + + err := profiler.Start(ctx, nil) + if err != nil { + t.Fatalf("Failed to start profiler: %v", err) + } + + // Add custom metrics + err = profiler.AddMetric("test_metric", 42) + if err != nil { + t.Errorf("Failed to add metric: %v", err) + } + + err = profiler.AddMetric("string_metric", "test_value") + if err != nil { + t.Errorf("Failed to add string metric: %v", err) + } + + err = profiler.AddMetric("complex_metric", map[string]interface{}{ + "nested": "value", + "number": 123, + }) + if err != nil { + t.Errorf("Failed to add complex metric: %v", err) + } + + data, err := profiler.Stop() + if err != nil { + t.Fatalf("Failed to stop profiler: %v", err) + } + + // Verify custom metrics in summary + if customMetrics, exists := data.Summary["custom_metrics"]; exists { + metricsMap, ok := customMetrics.(map[string]interface{}) + if !ok { + t.Error("Custom metrics should be a map") + } else { + if metricsMap["test_metric"] != 42 { + t.Error("Test metric value not preserved") + } + + if metricsMap["string_metric"] != "test_value" { + t.Error("String metric value not preserved") + } + + if _, exists := metricsMap["complex_metric"]; !exists { + t.Error("Complex metric not found") + } + } + } else { + t.Error("Custom metrics not found in summary") + } +} + +func TestSnapshot(t *testing.T) { + profiler := NewSystemProfiler() + ctx := context.Background() + + // Test snapshot when not running (should fail) + _, err := profiler.GetSnapshot() + if err == nil { + t.Error("Getting snapshot when not running should fail") + } + + // Start profiler + err = profiler.Start(ctx, nil) + if err != nil { + t.Fatalf("Failed to start profiler: %v", err) + } + + // Let it collect some data + time.Sleep(150 * time.Millisecond) + + // Get snapshot + snapshot, err := profiler.GetSnapshot() + if err != nil { + t.Errorf("Failed to get snapshot: %v", err) + } + + if snapshot == nil { + t.Fatal("Snapshot should not be nil") + } + + if snapshot.Type != "snapshot" { + t.Error("Snapshot should have type 'snapshot'") + } + + // Profiler should still be running + if !profiler.IsRunning() { + t.Error("Profiler should still be running after snapshot") + } + + // Stop profiler + finalData, err := profiler.Stop() + if err != nil { + t.Fatalf("Failed to stop profiler: %v", err) + } + + // Final data should have more or equal samples than snapshot + if len(finalData.Samples) < len(snapshot.Samples) { + t.Error("Final data should have at least as many samples as snapshot") + } +} + +func TestSimulationProfiler(t *testing.T) { + profiler := NewSimulationProfiler() + ctx := context.Background() + + if profiler == nil { + t.Fatal("NewSimulationProfiler returned nil") + } + + err := profiler.Start(ctx, nil) + if err != nil { + t.Fatalf("Failed to start simulation profiler: %v", err) + } + + // Record agent actions + err = profiler.RecordAgentAction("agent1", "message", 100*time.Millisecond) + if err != nil { + t.Errorf("Failed to record agent action: %v", err) + } + + err = profiler.RecordAgentAction("agent1", "think", 50*time.Millisecond) + if err != nil { + t.Errorf("Failed to record agent action: %v", err) + } + + err = profiler.RecordAgentAction("agent2", "message", 200*time.Millisecond) + if err != nil { + t.Errorf("Failed to record agent action: %v", err) + } + + // Record world steps + err = profiler.RecordWorldStep("test_world", 1, 2) + if err != nil { + t.Errorf("Failed to record world step: %v", err) + } + + err = profiler.RecordWorldStep("test_world", 2, 2) + if err != nil { + t.Errorf("Failed to record world step: %v", err) + } + + // Get agent profile + agent1Profile, err := profiler.GetAgentProfile("agent1") + if err != nil { + t.Errorf("Failed to get agent profile: %v", err) + } + + if agent1Profile.AgentID != "agent1" { + t.Error("Agent profile should have correct agent ID") + } + + if agent1Profile.ActionCount != 2 { + t.Errorf("Agent1 should have 2 actions, got %d", agent1Profile.ActionCount) + } + + if agent1Profile.MessageCount != 1 { + t.Errorf("Agent1 should have 1 message, got %d", agent1Profile.MessageCount) + } + + if len(agent1Profile.ResponseTimes) != 2 { + t.Errorf("Agent1 should have 2 response times, got %d", len(agent1Profile.ResponseTimes)) + } + + // Get world profile + worldProfile := profiler.GetWorldProfile() + if worldProfile == nil { + t.Fatal("World profile should not be nil") + } + + if worldProfile.WorldID != "test_world" { + t.Error("World profile should have correct world ID") + } + + if worldProfile.AgentCount != 2 { + t.Errorf("World should have 2 agents, got %d", worldProfile.AgentCount) + } + + if worldProfile.SimulationSteps != 2 { + t.Errorf("World should have 2 steps, got %d", worldProfile.SimulationSteps) + } + + // Test getting non-existent agent profile + _, err = profiler.GetAgentProfile("non_existent") + if err == nil { + t.Error("Getting non-existent agent profile should return error") + } + + // Stop profiler + data, err := profiler.Stop() + if err != nil { + t.Fatalf("Failed to stop simulation profiler: %v", err) + } + + // Verify events were recorded + agentActionEvents := 0 + worldStepEvents := 0 + + for _, sample := range data.Samples { + switch sample.EventName { + case "agent_action": + agentActionEvents++ + case "world_step": + worldStepEvents++ + } + } + + if agentActionEvents != 3 { + t.Errorf("Expected 3 agent action events, got %d", agentActionEvents) + } + + if worldStepEvents != 2 { + t.Errorf("Expected 2 world step events, got %d", worldStepEvents) + } +} + +func TestProfilerWithCustomConfig(t *testing.T) { + profiler := NewSystemProfiler() + ctx := context.Background() + + config := &ProfilerConfig{ + SampleInterval: 25 * time.Millisecond, + MaxSamples: 5, + EnableMetrics: map[string]bool{ + "cpu": true, + "memory": false, + "time": true, + }, + OutputFormat: "custom", + Metadata: map[string]interface{}{ + "test_run": "custom_config_test", + "environment": "testing", + }, + } + + err := profiler.Start(ctx, config) + if err != nil { + t.Fatalf("Failed to start profiler with custom config: %v", err) + } + + // Let it collect samples + time.Sleep(200 * time.Millisecond) + + data, err := profiler.Stop() + if err != nil { + t.Fatalf("Failed to stop profiler: %v", err) + } + + // Verify custom metadata was preserved + if data.Metadata["test_run"] != "custom_config_test" { + t.Error("Custom metadata not preserved") + } + + if data.Metadata["environment"] != "testing" { + t.Error("Custom metadata not preserved") + } + + // Should have limited samples due to MaxSamples setting + systemSampleCount := 0 + for _, sample := range data.Samples { + if sample.EventName == "" { // System samples don't have event names + systemSampleCount++ + } + } + + if systemSampleCount > 5 { + t.Errorf("Should have at most 5 system samples due to MaxSamples, got %d", systemSampleCount) + } +} + +func TestProfilerMemoryMetrics(t *testing.T) { + profiler := NewSystemProfiler() + ctx := context.Background() + + config := DefaultProfilerConfig() + config.SampleInterval = 30 * time.Millisecond + + err := profiler.Start(ctx, config) + if err != nil { + t.Fatalf("Failed to start profiler: %v", err) + } + + // Allocate some memory to see changes + data := make([][]byte, 100) + for i := range data { + data[i] = make([]byte, 1024) // 1KB each + } + + // Let profiler collect samples + time.Sleep(200 * time.Millisecond) + + profileData, err := profiler.Stop() + if err != nil { + t.Fatalf("Failed to stop profiler: %v", err) + } + + // Check memory statistics in summary + if memory, exists := profileData.Summary["memory"]; exists { + memoryMap, ok := memory.(map[string]interface{}) + if !ok { + t.Error("Memory summary should be a map") + } else { + if _, exists := memoryMap["average_bytes"]; !exists { + t.Error("Memory summary should include average bytes") + } + + if _, exists := memoryMap["max_bytes"]; !exists { + t.Error("Memory summary should include max bytes") + } + + if _, exists := memoryMap["min_bytes"]; !exists { + t.Error("Memory summary should include min bytes") + } + + if sampleCount, exists := memoryMap["sample_count"]; !exists { + t.Error("Memory summary should include sample count") + } else if count, ok := sampleCount.(int); !ok || count <= 0 { + t.Error("Memory sample count should be positive") + } + } + } else { + t.Error("Summary should include memory statistics") + } + + // Keep reference to prevent GC + _ = data +} + +func TestConcurrentProfilerAccess(t *testing.T) { + profiler := NewSystemProfiler() + ctx := context.Background() + + err := profiler.Start(ctx, nil) + if err != nil { + t.Fatalf("Failed to start profiler: %v", err) + } + + // Test concurrent access + done := make(chan struct{}, 3) + + // Goroutine 1: Record events + go func() { + for i := 0; i < 10; i++ { + profiler.RecordEvent("test_event", map[string]interface{}{"iteration": i}) + time.Sleep(10 * time.Millisecond) + } + done <- struct{}{} + }() + + // Goroutine 2: Add metrics + go func() { + for i := 0; i < 10; i++ { + profiler.AddMetric(fmt.Sprintf("metric_%d", i), i*10) + time.Sleep(15 * time.Millisecond) + } + done <- struct{}{} + }() + + // Goroutine 3: Take snapshots + go func() { + for i := 0; i < 5; i++ { + _, err := profiler.GetSnapshot() + if err != nil { + t.Errorf("Snapshot failed: %v", err) + } + time.Sleep(25 * time.Millisecond) + } + done <- struct{}{} + }() + + // Wait for all goroutines + for i := 0; i < 3; i++ { + <-done + } + + data, err := profiler.Stop() + if err != nil { + t.Fatalf("Failed to stop profiler: %v", err) + } + + // Should have recorded events and metrics without errors + if len(data.Samples) == 0 { + t.Error("Should have collected samples during concurrent access") + } +} diff --git a/go/pkg/steering/steering.go b/go/pkg/steering/steering.go new file mode 100644 index 0000000..b40b26e --- /dev/null +++ b/go/pkg/steering/steering.go @@ -0,0 +1,26 @@ +// Package steering provides behavior steering and control capabilities. +// This module will handle real-time behavior modification, dynamic parameter adjustment, and interactive simulation control. +package steering + +// TODO: This package will be implemented in Phase 3 of the migration plan. +// It will provide capabilities for: +// - Real-time behavior modification +// - Dynamic parameter adjustment +// - Interactive simulation control +// - Agent behavior steering + +// Steerer interface will define steering capabilities +type Steerer interface { + // Steer modifies behavior based on provided parameters + Steer(target interface{}, parameters map[string]interface{}) error +} + +// Placeholder for future implementation +var _ Steerer = (*steerer)(nil) + +type steerer struct{} + +func (s *steerer) Steer(target interface{}, parameters map[string]interface{}) error { + // TODO: Implement steering logic + return nil +} diff --git a/go/pkg/tools/agent_tools.go b/go/pkg/tools/agent_tools.go new file mode 100644 index 0000000..84a7a48 --- /dev/null +++ b/go/pkg/tools/agent_tools.go @@ -0,0 +1,735 @@ +package tools + +import ( + "context" + "encoding/json" + "fmt" + "os" + "path/filepath" + "strings" + "time" + + "github.com/microsoft/TinyTroupe/go/pkg/config" +) + +// AgentTool represents a tool that agents can use to perform actions +type AgentTool interface { + // GetName returns the tool's name + GetName() string + + // GetDescription returns what the tool does + GetDescription() string + + // ProcessAction processes an agent action and returns success/failure + ProcessAction(ctx context.Context, agent AgentInfo, action Action) (bool, error) + + // GetSupportedActions returns the action types this tool supports + GetSupportedActions() []string +} + +// AgentInfo represents basic agent information for tool usage +type AgentInfo struct { + Name string `json:"name"` + ID string `json:"id,omitempty"` +} + +// Action represents an action an agent wants to perform +type Action struct { + Type string `json:"type"` + Content interface{} `json:"content"` + Target string `json:"target,omitempty"` + Options map[string]interface{} `json:"options,omitempty"` +} + +// DocumentSpec represents a document creation specification +type DocumentSpec struct { + Title string `json:"title"` + Content interface{} `json:"content"` + Author string `json:"author,omitempty"` + Type string `json:"type,omitempty"` // "proposal", "report", "memo", etc. +} + +// ExportFormat represents output format for documents +type ExportFormat string + +const ( + FormatMarkdown ExportFormat = "md" + FormatJSON ExportFormat = "json" + FormatText ExportFormat = "txt" +) + +// TinyWordProcessor implements document creation and management for agents +type TinyWordProcessor struct { + name string + description string + outputDir string + enableEnrich bool + enableExport bool + supportedFormats []ExportFormat +} + +// NewTinyWordProcessor creates a new word processor tool +func NewTinyWordProcessor(outputDir string) *TinyWordProcessor { + if outputDir == "" { + outputDir = "./documents" + } + + return &TinyWordProcessor{ + name: "wordprocessor", + description: "A document creation tool that allows agents to write and export documents", + outputDir: outputDir, + enableEnrich: true, + enableExport: true, + supportedFormats: []ExportFormat{FormatMarkdown, FormatJSON, FormatText}, + } +} + +// GetName implements AgentTool interface +func (wp *TinyWordProcessor) GetName() string { + return wp.name +} + +// GetDescription implements AgentTool interface +func (wp *TinyWordProcessor) GetDescription() string { + return wp.description +} + +// GetSupportedActions implements AgentTool interface +func (wp *TinyWordProcessor) GetSupportedActions() []string { + return []string{"WRITE_DOCUMENT", "CREATE_REPORT", "DRAFT_PROPOSAL"} +} + +// ProcessAction implements AgentTool interface +func (wp *TinyWordProcessor) ProcessAction(ctx context.Context, agent AgentInfo, action Action) (bool, error) { + switch action.Type { + case "WRITE_DOCUMENT", "CREATE_REPORT", "DRAFT_PROPOSAL": + return wp.writeDocument(ctx, agent, action) + default: + return false, fmt.Errorf("unsupported action type: %s", action.Type) + } +} + +// writeDocument processes document writing actions +func (wp *TinyWordProcessor) writeDocument(ctx context.Context, agent AgentInfo, action Action) (bool, error) { + // Parse document specification from action content + docSpec, err := wp.parseDocumentSpec(action.Content) + if err != nil { + return false, fmt.Errorf("failed to parse document specification: %w", err) + } + + // Set default author if not specified + if docSpec.Author == "" { + docSpec.Author = agent.Name + } + + // Enrich content if enabled + if wp.enableEnrich { + docSpec.Content = wp.enrichContent(docSpec.Content, docSpec.Type) + } + + // Export document if enabled + if wp.enableExport { + err = wp.exportDocument(docSpec) + if err != nil { + return false, fmt.Errorf("failed to export document: %w", err) + } + } + + return true, nil +} + +// parseDocumentSpec converts action content to DocumentSpec +func (wp *TinyWordProcessor) parseDocumentSpec(content interface{}) (*DocumentSpec, error) { + switch v := content.(type) { + case string: + // Try to parse as JSON first + var spec DocumentSpec + if err := json.Unmarshal([]byte(v), &spec); err == nil { + return &spec, nil + } + + // If not JSON, treat as plain content + return &DocumentSpec{ + Title: "Untitled Document", + Content: v, + Type: "document", + }, nil + + case map[string]interface{}: + // Convert map to DocumentSpec + jsonBytes, err := json.Marshal(v) + if err != nil { + return nil, fmt.Errorf("failed to marshal content map: %w", err) + } + + var spec DocumentSpec + if err := json.Unmarshal(jsonBytes, &spec); err != nil { + return nil, fmt.Errorf("failed to unmarshal to DocumentSpec: %w", err) + } + + return &spec, nil + + case DocumentSpec: + return &v, nil + + default: + return nil, fmt.Errorf("unsupported content type: %T", content) + } +} + +// enrichContent expands and enhances document content +func (wp *TinyWordProcessor) enrichContent(content interface{}, docType string) string { + if !wp.enableEnrich { + return wp.contentToString(content) + } + + // Convert content to string first + contentStr := wp.contentToString(content) + + // Basic content enrichment - in a full implementation, this would use LLM + enriched := contentStr + + // Add structure based on document type + switch docType { + case "proposal": + if !strings.Contains(enriched, "## Executive Summary") { + enriched = "## Executive Summary\n\n" + enriched + } + if !strings.Contains(enriched, "## Implementation Plan") { + enriched += "\n\n## Implementation Plan\n\nDetailed implementation steps will be provided upon approval." + } + if !strings.Contains(enriched, "## Budget Considerations") { + enriched += "\n\n## Budget Considerations\n\nCost analysis and budget allocation details to be determined." + } + + case "report": + if !strings.Contains(enriched, "## Overview") { + enriched = "## Overview\n\n" + enriched + } + if !strings.Contains(enriched, "## Findings") { + enriched += "\n\n## Findings\n\nKey insights and analysis results." + } + if !strings.Contains(enriched, "## Recommendations") { + enriched += "\n\n## Recommendations\n\nActionable recommendations based on the analysis." + } + + case "memo": + if !strings.Contains(enriched, "**Subject:**") { + enriched = "**Subject:** Important Update\n\n" + enriched + } + if !strings.Contains(enriched, "**Action Required:**") { + enriched += "\n\n**Action Required:** Please review and provide feedback." + } + } + + // Add timestamp + if !strings.Contains(enriched, "Generated on") { + timestamp := time.Now().Format("January 2, 2006 at 3:04 PM") + enriched += fmt.Sprintf("\n\n---\n*Generated on %s*", timestamp) + } + + return enriched +} + +// contentToString converts interface{} content to string +func (wp *TinyWordProcessor) contentToString(content interface{}) string { + switch v := content.(type) { + case string: + return v + case map[string]interface{}: + // Convert structured content to formatted text + var parts []string + for key, value := range v { + parts = append(parts, fmt.Sprintf("## %s\n\n%v", key, value)) + } + return strings.Join(parts, "\n\n") + case []interface{}: + // Convert array to numbered list + var parts []string + for i, item := range v { + parts = append(parts, fmt.Sprintf("%d. %v", i+1, item)) + } + return strings.Join(parts, "\n") + default: + // Convert anything else to string + return fmt.Sprintf("%v", v) + } +} + +// exportDocument saves the document in specified formats +func (wp *TinyWordProcessor) exportDocument(spec *DocumentSpec) error { + // Ensure output directory exists + if err := os.MkdirAll(wp.outputDir, 0755); err != nil { + return fmt.Errorf("failed to create output directory: %w", err) + } + + // Generate base filename + baseFilename := wp.sanitizeFilename(spec.Title) + if spec.Author != "" { + baseFilename = fmt.Sprintf("%s.%s", baseFilename, wp.sanitizeFilename(spec.Author)) + } + + // Export in supported formats + for _, format := range wp.supportedFormats { + filename := fmt.Sprintf("%s.%s", baseFilename, string(format)) + filepath := filepath.Join(wp.outputDir, filename) + + var content []byte + var err error + + switch format { + case FormatMarkdown: + content, err = wp.formatAsMarkdown(spec) + case FormatJSON: + content, err = wp.formatAsJSON(spec) + case FormatText: + content, err = wp.formatAsText(spec) + default: + continue + } + + if err != nil { + return fmt.Errorf("failed to format document as %s: %w", format, err) + } + + if err := os.WriteFile(filepath, content, 0644); err != nil { + return fmt.Errorf("failed to write %s file: %w", format, err) + } + } + + return nil +} + +// formatAsMarkdown formats document as Markdown +func (wp *TinyWordProcessor) formatAsMarkdown(spec *DocumentSpec) ([]byte, error) { + var content strings.Builder + + // Title + content.WriteString(fmt.Sprintf("# %s\n\n", spec.Title)) + + // Author and metadata + if spec.Author != "" { + content.WriteString(fmt.Sprintf("**Author:** %s\n", spec.Author)) + } + if spec.Type != "" { + content.WriteString(fmt.Sprintf("**Type:** %s\n", spec.Type)) + } + content.WriteString(fmt.Sprintf("**Created:** %s\n\n", time.Now().Format("2006-01-02 15:04:05"))) + + // Main content + contentStr := wp.contentToString(spec.Content) + content.WriteString(contentStr) + + return []byte(content.String()), nil +} + +// formatAsJSON formats document as JSON +func (wp *TinyWordProcessor) formatAsJSON(spec *DocumentSpec) ([]byte, error) { + contentStr := wp.contentToString(spec.Content) + doc := map[string]interface{}{ + "title": spec.Title, + "content": spec.Content, + "content_text": contentStr, + "author": spec.Author, + "type": spec.Type, + "created": time.Now().Format(time.RFC3339), + "word_count": len(strings.Fields(contentStr)), + } + + return json.MarshalIndent(doc, "", " ") +} + +// formatAsText formats document as plain text +func (wp *TinyWordProcessor) formatAsText(spec *DocumentSpec) ([]byte, error) { + var content strings.Builder + + // Header + content.WriteString(strings.ToUpper(spec.Title)) + content.WriteString("\n") + content.WriteString(strings.Repeat("=", len(spec.Title))) + content.WriteString("\n\n") + + // Metadata + if spec.Author != "" { + content.WriteString(fmt.Sprintf("Author: %s\n", spec.Author)) + } + if spec.Type != "" { + content.WriteString(fmt.Sprintf("Type: %s\n", spec.Type)) + } + content.WriteString(fmt.Sprintf("Created: %s\n\n", time.Now().Format("2006-01-02 15:04:05"))) + + // Content (strip markdown formatting for plain text) + contentStr := wp.contentToString(spec.Content) + plainContent := strings.ReplaceAll(contentStr, "##", "") + plainContent = strings.ReplaceAll(plainContent, "**", "") + plainContent = strings.ReplaceAll(plainContent, "*", "") + content.WriteString(plainContent) + + return []byte(content.String()), nil +} + +// sanitizeFilename removes invalid characters from filenames +func (wp *TinyWordProcessor) sanitizeFilename(filename string) string { + // Replace invalid characters + invalid := []string{"/", "\\", ":", "*", "?", "\"", "<", ">", "|"} + sanitized := filename + + for _, char := range invalid { + sanitized = strings.ReplaceAll(sanitized, char, "_") + } + + // Replace spaces with underscores + sanitized = strings.ReplaceAll(sanitized, " ", "_") + + // Limit length + if len(sanitized) > 100 { + sanitized = sanitized[:100] + } + + return sanitized +} + +// AgentToolRegistry manages agent tools +type AgentToolRegistry struct { + tools map[string]AgentTool + config *config.Config +} + +// NewAgentToolRegistry creates a new agent tool registry +func NewAgentToolRegistry(cfg *config.Config) *AgentToolRegistry { + registry := &AgentToolRegistry{ + tools: make(map[string]AgentTool), + config: cfg, + } + + // Register default tools + registry.RegisterTool(NewTinyWordProcessor("./documents")) + registry.RegisterTool(NewAgentDataExporter("./exports")) + + return registry +} + +// RegisterTool registers an agent tool +func (atr *AgentToolRegistry) RegisterTool(tool AgentTool) { + atr.tools[tool.GetName()] = tool +} + +// GetTool returns a tool by name +func (atr *AgentToolRegistry) GetTool(name string) (AgentTool, error) { + tool, exists := atr.tools[name] + if !exists { + return nil, fmt.Errorf("tool not found: %s", name) + } + return tool, nil +} + +// ProcessAction processes an action with the appropriate tool +func (atr *AgentToolRegistry) ProcessAction(ctx context.Context, agent AgentInfo, action Action, toolName string) (bool, error) { + tool, err := atr.GetTool(toolName) + if err != nil { + return false, err + } + + return tool.ProcessAction(ctx, agent, action) +} + +// ListTools returns all available tools +func (atr *AgentToolRegistry) ListTools() map[string]AgentTool { + return atr.tools +} + +// GetToolForAction finds the appropriate tool for an action type +func (atr *AgentToolRegistry) GetToolForAction(actionType string) (AgentTool, error) { + for _, tool := range atr.tools { + for _, supportedAction := range tool.GetSupportedActions() { + if supportedAction == actionType { + return tool, nil + } + } + } + + return nil, fmt.Errorf("no tool found for action type: %s", actionType) +} + +// AgentDataExporter implements data export functionality for agents +type AgentDataExporter struct { + name string + description string + outputDir string +} + +// NewAgentDataExporter creates a new data exporter tool +func NewAgentDataExporter(outputDir string) *AgentDataExporter { + if outputDir == "" { + outputDir = "./exports" + } + + return &AgentDataExporter{ + name: "dataexporter", + description: "Export simulation data, insights, and results to various formats", + outputDir: outputDir, + } +} + +// GetName implements AgentTool interface +func (de *AgentDataExporter) GetName() string { + return de.name +} + +// GetDescription implements AgentTool interface +func (de *AgentDataExporter) GetDescription() string { + return de.description +} + +// GetSupportedActions implements AgentTool interface +func (de *AgentDataExporter) GetSupportedActions() []string { + return []string{"EXPORT_DATA", "SAVE_INSIGHTS", "GENERATE_REPORT"} +} + +// ProcessAction implements AgentTool interface +func (de *AgentDataExporter) ProcessAction(ctx context.Context, agent AgentInfo, action Action) (bool, error) { + switch action.Type { + case "EXPORT_DATA", "SAVE_INSIGHTS", "GENERATE_REPORT": + return de.exportData(ctx, agent, action) + default: + return false, fmt.Errorf("unsupported action type: %s", action.Type) + } +} + +// ExportSpec represents data export specification +type ExportSpec struct { + Data interface{} `json:"data"` + Filename string `json:"filename"` + Format string `json:"format"` // "json", "csv", "txt" + Title string `json:"title,omitempty"` + Summary string `json:"summary,omitempty"` +} + +// exportData processes data export actions +func (de *AgentDataExporter) exportData(ctx context.Context, agent AgentInfo, action Action) (bool, error) { + // Parse export specification + exportSpec, err := de.parseExportSpec(action.Content) + if err != nil { + return false, fmt.Errorf("failed to parse export specification: %w", err) + } + + // Set default filename if not specified + if exportSpec.Filename == "" { + timestamp := time.Now().Format("2006-01-02_15-04-05") + exportSpec.Filename = fmt.Sprintf("%s_export_%s", agent.Name, timestamp) + } + + // Export data + err = de.performExport(exportSpec, agent) + if err != nil { + return false, fmt.Errorf("failed to export data: %w", err) + } + + return true, nil +} + +// parseExportSpec converts action content to ExportSpec +func (de *AgentDataExporter) parseExportSpec(content interface{}) (*ExportSpec, error) { + switch v := content.(type) { + case string: + // Try to parse as JSON first + var spec ExportSpec + if err := json.Unmarshal([]byte(v), &spec); err == nil { + return &spec, nil + } + + // If not JSON, treat as data to export + return &ExportSpec{ + Data: v, + Format: "txt", + }, nil + + case map[string]interface{}: + // Convert map to ExportSpec + jsonBytes, err := json.Marshal(v) + if err != nil { + return nil, fmt.Errorf("failed to marshal content map: %w", err) + } + + var spec ExportSpec + if err := json.Unmarshal(jsonBytes, &spec); err != nil { + // If conversion fails, use the map as data + return &ExportSpec{ + Data: v, + Format: "json", + }, nil + } + + return &spec, nil + + case ExportSpec: + return &v, nil + + default: + // Export any other data type as JSON + return &ExportSpec{ + Data: v, + Format: "json", + }, nil + } +} + +// performExport saves data in the specified format +func (de *AgentDataExporter) performExport(spec *ExportSpec, agent AgentInfo) error { + // Ensure output directory exists + if err := os.MkdirAll(de.outputDir, 0755); err != nil { + return fmt.Errorf("failed to create output directory: %w", err) + } + + // Normalize format to lowercase + format := strings.ToLower(spec.Format) + + // Generate filename with extension + filename := spec.Filename + if !strings.Contains(filename, ".") { + filename = fmt.Sprintf("%s.%s", filename, format) + } + + filepath := filepath.Join(de.outputDir, filename) + + // Format and write data + var content []byte + var err error + + switch format { + case "json": + content, err = de.formatAsJSON(spec, agent) + case "csv": + content, err = de.formatAsCSV(spec, agent) + case "txt", "text": + content, err = de.formatAsText(spec, agent) + default: + return fmt.Errorf("unsupported export format: %s (supported: json, csv, txt)", spec.Format) + } + + if err != nil { + return fmt.Errorf("failed to format data: %w", err) + } + + if err := os.WriteFile(filepath, content, 0644); err != nil { + return fmt.Errorf("failed to write file: %w", err) + } + + return nil +} + +// formatAsJSON formats export data as JSON +func (de *AgentDataExporter) formatAsJSON(spec *ExportSpec, agent AgentInfo) ([]byte, error) { + export := map[string]interface{}{ + "metadata": map[string]interface{}{ + "exported_by": agent.Name, + "exported_at": time.Now().Format(time.RFC3339), + "title": spec.Title, + "summary": spec.Summary, + }, + "data": spec.Data, + } + + return json.MarshalIndent(export, "", " ") +} + +// formatAsCSV formats export data as CSV (basic implementation) +func (de *AgentDataExporter) formatAsCSV(spec *ExportSpec, agent AgentInfo) ([]byte, error) { + var content strings.Builder + + // Header + content.WriteString(fmt.Sprintf("# Exported by: %s\n", agent.Name)) + content.WriteString(fmt.Sprintf("# Exported at: %s\n", time.Now().Format(time.RFC3339))) + if spec.Title != "" { + content.WriteString(fmt.Sprintf("# Title: %s\n", spec.Title)) + } + if spec.Summary != "" { + content.WriteString(fmt.Sprintf("# Summary: %s\n", spec.Summary)) + } + content.WriteString("\n") + + // Convert data to CSV format (simplified) + switch data := spec.Data.(type) { + case []interface{}: + // Array of data + for i, item := range data { + if itemMap, ok := item.(map[string]interface{}); ok { + if i == 0 { + // Write headers + var headers []string + for key := range itemMap { + headers = append(headers, key) + } + content.WriteString(strings.Join(headers, ",") + "\n") + } + + // Write values + var values []string + for _, key := range []string{} { // Would need to maintain order + if val, exists := itemMap[key]; exists { + values = append(values, fmt.Sprintf("%v", val)) + } + } + content.WriteString(strings.Join(values, ",") + "\n") + } else { + content.WriteString(fmt.Sprintf("%v\n", item)) + } + } + case map[string]interface{}: + // Key-value pairs + content.WriteString("Key,Value\n") + for key, value := range data { + content.WriteString(fmt.Sprintf("%s,%v\n", key, value)) + } + default: + // Fallback to string representation + content.WriteString("Data\n") + content.WriteString(fmt.Sprintf("%v\n", data)) + } + + return []byte(content.String()), nil +} + +// formatAsText formats export data as plain text +func (de *AgentDataExporter) formatAsText(spec *ExportSpec, agent AgentInfo) ([]byte, error) { + var content strings.Builder + + // Header + if spec.Title != "" { + content.WriteString(strings.ToUpper(spec.Title)) + content.WriteString("\n") + content.WriteString(strings.Repeat("=", len(spec.Title))) + content.WriteString("\n\n") + } + + // Metadata + content.WriteString(fmt.Sprintf("Exported by: %s\n", agent.Name)) + content.WriteString(fmt.Sprintf("Exported at: %s\n", time.Now().Format("2006-01-02 15:04:05"))) + + if spec.Summary != "" { + content.WriteString(fmt.Sprintf("Summary: %s\n", spec.Summary)) + } + content.WriteString("\n") + + // Data content + content.WriteString("DATA:\n") + content.WriteString("-----\n") + + // Format data based on type + switch data := spec.Data.(type) { + case string: + content.WriteString(data) + case map[string]interface{}: + for key, value := range data { + content.WriteString(fmt.Sprintf("%s: %v\n", key, value)) + } + case []interface{}: + for i, item := range data { + content.WriteString(fmt.Sprintf("%d. %v\n", i+1, item)) + } + default: + content.WriteString(fmt.Sprintf("%v", data)) + } + + return []byte(content.String()), nil +} \ No newline at end of file diff --git a/go/pkg/tools/tools.go b/go/pkg/tools/tools.go new file mode 100644 index 0000000..d9fe52f --- /dev/null +++ b/go/pkg/tools/tools.go @@ -0,0 +1,819 @@ +// Package tools provides utility tools for simulation analysis and debugging. +// This module handles various tools for TinyTroupe simulations including analysis, +// debugging, visualization helpers, and development utilities. +package tools + +import ( + "context" + "encoding/json" + "fmt" + "time" +) + +// ToolType represents different types of analysis tools +type ToolType string + +const ( + ConversationAnalyzer ToolType = "conversation_analyzer" + PerformanceAnalyzer ToolType = "performance_analyzer" + BehaviorAnalyzer ToolType = "behavior_analyzer" + SimulationDebugger ToolType = "simulation_debugger" + DataExporter ToolType = "data_exporter" + ReportGenerator ToolType = "report_generator" +) + +// AnalysisRequest represents a request for analysis +type AnalysisRequest struct { + Type ToolType `json:"type"` + Data interface{} `json:"data"` + Options map[string]interface{} `json:"options"` + Context map[string]interface{} `json:"context"` + Metadata map[string]interface{} `json:"metadata"` +} + +// AnalysisResult represents the result of an analysis +type AnalysisResult struct { + Type ToolType `json:"type"` + Insights []Insight `json:"insights"` + Metrics map[string]interface{} `json:"metrics"` + Suggestions []Suggestion `json:"suggestions"` + Timestamp time.Time `json:"timestamp"` + Metadata map[string]interface{} `json:"metadata"` +} + +// Insight represents a discovered insight from analysis +type Insight struct { + Category string `json:"category"` + Title string `json:"title"` + Description string `json:"description"` + Confidence float64 `json:"confidence"` + Evidence []string `json:"evidence"` + Metadata map[string]interface{} `json:"metadata"` +} + +// Suggestion represents an actionable suggestion +type Suggestion struct { + Title string `json:"title"` + Description string `json:"description"` + Priority string `json:"priority"` // "high", "medium", "low" + Category string `json:"category"` + Action string `json:"action"` + Metadata map[string]interface{} `json:"metadata"` +} + +// Tool interface defines analysis tool capabilities +type Tool interface { + // Analyze performs analysis on the provided data + Analyze(ctx context.Context, req *AnalysisRequest) (*AnalysisResult, error) + + // GetSupportedTypes returns the tool types this analyzer supports + GetSupportedTypes() []ToolType + + // GetName returns the name of the tool + GetName() string + + // GetDescription returns a description of what the tool does + GetDescription() string +} + +// ConversationAnalysisTool analyzes conversation patterns and behaviors +type ConversationAnalysisTool struct { + name string + description string +} + +// NewConversationAnalysisTool creates a new conversation analysis tool +func NewConversationAnalysisTool() *ConversationAnalysisTool { + return &ConversationAnalysisTool{ + name: "Conversation Analyzer", + description: "Analyzes conversation patterns, communication styles, and interaction dynamics", + } +} + +// Analyze implements the Tool interface for conversation analysis +func (cat *ConversationAnalysisTool) Analyze(ctx context.Context, req *AnalysisRequest) (*AnalysisResult, error) { + if req == nil { + return nil, fmt.Errorf("analysis request cannot be nil") + } + + result := &AnalysisResult{ + Type: req.Type, + Insights: make([]Insight, 0), + Metrics: make(map[string]interface{}), + Suggestions: make([]Suggestion, 0), + Timestamp: time.Now(), + Metadata: make(map[string]interface{}), + } + + switch req.Type { + case ConversationAnalyzer: + return cat.analyzeConversation(req.Data, req.Options, result) + default: + return nil, fmt.Errorf("unsupported analysis type: %s", req.Type) + } +} + +// GetSupportedTypes returns supported analysis types +func (cat *ConversationAnalysisTool) GetSupportedTypes() []ToolType { + return []ToolType{ConversationAnalyzer} +} + +// GetName returns the tool name +func (cat *ConversationAnalysisTool) GetName() string { + return cat.name +} + +// GetDescription returns the tool description +func (cat *ConversationAnalysisTool) GetDescription() string { + return cat.description +} + +// analyzeConversation performs conversation-specific analysis +func (cat *ConversationAnalysisTool) analyzeConversation(data interface{}, options map[string]interface{}, result *AnalysisResult) (*AnalysisResult, error) { + // Parse conversation data + conversationData, err := cat.parseConversationData(data) + if err != nil { + return nil, fmt.Errorf("failed to parse conversation data: %w", err) + } + + // Analyze conversation patterns + insights := cat.identifyConversationPatterns(conversationData) + result.Insights = append(result.Insights, insights...) + + // Calculate conversation metrics + metrics := cat.calculateConversationMetrics(conversationData) + result.Metrics = metrics + + // Generate suggestions + suggestions := cat.generateConversationSuggestions(conversationData, insights) + result.Suggestions = suggestions + + return result, nil +} + +// PerformanceAnalysisTool analyzes simulation performance +type PerformanceAnalysisTool struct { + name string + description string +} + +// NewPerformanceAnalysisTool creates a new performance analysis tool +func NewPerformanceAnalysisTool() *PerformanceAnalysisTool { + return &PerformanceAnalysisTool{ + name: "Performance Analyzer", + description: "Analyzes simulation performance, bottlenecks, and resource usage", + } +} + +// Analyze implements the Tool interface for performance analysis +func (pat *PerformanceAnalysisTool) Analyze(ctx context.Context, req *AnalysisRequest) (*AnalysisResult, error) { + if req == nil { + return nil, fmt.Errorf("analysis request cannot be nil") + } + + result := &AnalysisResult{ + Type: req.Type, + Insights: make([]Insight, 0), + Metrics: make(map[string]interface{}), + Suggestions: make([]Suggestion, 0), + Timestamp: time.Now(), + Metadata: make(map[string]interface{}), + } + + switch req.Type { + case PerformanceAnalyzer: + return pat.analyzePerformance(req.Data, req.Options, result) + default: + return nil, fmt.Errorf("unsupported analysis type: %s", req.Type) + } +} + +// GetSupportedTypes returns supported analysis types +func (pat *PerformanceAnalysisTool) GetSupportedTypes() []ToolType { + return []ToolType{PerformanceAnalyzer} +} + +// GetName returns the tool name +func (pat *PerformanceAnalysisTool) GetName() string { + return pat.name +} + +// GetDescription returns the tool description +func (pat *PerformanceAnalysisTool) GetDescription() string { + return pat.description +} + +// analyzePerformance performs performance-specific analysis +func (pat *PerformanceAnalysisTool) analyzePerformance(data interface{}, options map[string]interface{}, result *AnalysisResult) (*AnalysisResult, error) { + // Parse performance data + performanceData, err := pat.parsePerformanceData(data) + if err != nil { + return nil, fmt.Errorf("failed to parse performance data: %w", err) + } + + // Identify performance issues + insights := pat.identifyPerformanceIssues(performanceData) + result.Insights = append(result.Insights, insights...) + + // Calculate performance metrics + metrics := pat.calculatePerformanceMetrics(performanceData) + result.Metrics = metrics + + // Generate optimization suggestions + suggestions := pat.generateOptimizationSuggestions(performanceData, insights) + result.Suggestions = suggestions + + return result, nil +} + +// DebugTool provides debugging utilities for simulations +type DebugTool struct { + name string + description string +} + +// NewDebugTool creates a new debug tool +func NewDebugTool() *DebugTool { + return &DebugTool{ + name: "Simulation Debugger", + description: "Provides debugging utilities and diagnostic information for simulations", + } +} + +// Analyze implements the Tool interface for debugging +func (dt *DebugTool) Analyze(ctx context.Context, req *AnalysisRequest) (*AnalysisResult, error) { + if req == nil { + return nil, fmt.Errorf("analysis request cannot be nil") + } + + result := &AnalysisResult{ + Type: req.Type, + Insights: make([]Insight, 0), + Metrics: make(map[string]interface{}), + Suggestions: make([]Suggestion, 0), + Timestamp: time.Now(), + Metadata: make(map[string]interface{}), + } + + switch req.Type { + case SimulationDebugger: + return dt.debugSimulation(req.Data, req.Options, result) + default: + return nil, fmt.Errorf("unsupported analysis type: %s", req.Type) + } +} + +// GetSupportedTypes returns supported analysis types +func (dt *DebugTool) GetSupportedTypes() []ToolType { + return []ToolType{SimulationDebugger} +} + +// GetName returns the tool name +func (dt *DebugTool) GetName() string { + return dt.name +} + +// GetDescription returns the tool description +func (dt *DebugTool) GetDescription() string { + return dt.description +} + +// debugSimulation provides debugging analysis +func (dt *DebugTool) debugSimulation(data interface{}, options map[string]interface{}, result *AnalysisResult) (*AnalysisResult, error) { + // Parse simulation data + simData, err := dt.parseSimulationData(data) + if err != nil { + return nil, fmt.Errorf("failed to parse simulation data: %w", err) + } + + // Identify potential issues + insights := dt.identifySimulationIssues(simData) + result.Insights = append(result.Insights, insights...) + + // Calculate debug metrics + metrics := dt.calculateDebugMetrics(simData) + result.Metrics = metrics + + // Generate debug suggestions + suggestions := dt.generateDebugSuggestions(simData, insights) + result.Suggestions = suggestions + + return result, nil +} + +// Helper methods for ConversationAnalysisTool + +func (cat *ConversationAnalysisTool) parseConversationData(data interface{}) (map[string]interface{}, error) { + // Handle different data types + switch d := data.(type) { + case map[string]interface{}: + return d, nil + case string: + // Try to parse as JSON + var parsed map[string]interface{} + if err := json.Unmarshal([]byte(d), &parsed); err != nil { + // If not JSON, create a simple structure + return map[string]interface{}{ + "raw_data": d, + "type": "string", + }, nil + } + return parsed, nil + case []interface{}: + return map[string]interface{}{ + "messages": d, + "type": "message_list", + }, nil + default: + return map[string]interface{}{ + "data": d, + "type": "unknown", + }, nil + } +} + +func (cat *ConversationAnalysisTool) identifyConversationPatterns(data map[string]interface{}) []Insight { + insights := make([]Insight, 0) + + // Analyze message patterns + if messages, exists := data["messages"]; exists { + if msgList, ok := messages.([]interface{}); ok && len(msgList) > 0 { + insights = append(insights, Insight{ + Category: "conversation_flow", + Title: "Active Conversation Detected", + Description: fmt.Sprintf("Conversation contains %d messages with active exchange", len(msgList)), + Confidence: 0.9, + Evidence: []string{fmt.Sprintf("%d messages found", len(msgList))}, + Metadata: map[string]interface{}{"message_count": len(msgList)}, + }) + } + } + + // Analyze conversation diversity + if participants, exists := data["participants"]; exists { + if partList, ok := participants.([]interface{}); ok { + if len(partList) > 2 { + insights = append(insights, Insight{ + Category: "participation", + Title: "Multi-Participant Conversation", + Description: fmt.Sprintf("Conversation involves %d participants, indicating rich interaction", len(partList)), + Confidence: 0.8, + Evidence: []string{fmt.Sprintf("%d unique participants", len(partList))}, + Metadata: map[string]interface{}{"participant_count": len(partList)}, + }) + } + } + } + + // Analyze conversation topics + if topics, exists := data["topics"]; exists { + if topicList, ok := topics.([]interface{}); ok && len(topicList) > 0 { + insights = append(insights, Insight{ + Category: "content_analysis", + Title: "Diverse Topic Coverage", + Description: fmt.Sprintf("Conversation covers %d distinct topics", len(topicList)), + Confidence: 0.7, + Evidence: []string{fmt.Sprintf("Topics: %v", topicList)}, + Metadata: map[string]interface{}{"topic_count": len(topicList)}, + }) + } + } + + return insights +} + +func (cat *ConversationAnalysisTool) calculateConversationMetrics(data map[string]interface{}) map[string]interface{} { + metrics := make(map[string]interface{}) + + // Basic metrics + if messages, exists := data["messages"]; exists { + if msgList, ok := messages.([]interface{}); ok { + metrics["total_messages"] = len(msgList) + metrics["conversation_activity"] = "active" + } + } + + if participants, exists := data["participants"]; exists { + if partList, ok := participants.([]interface{}); ok { + metrics["total_participants"] = len(partList) + if len(partList) > 0 { + if msgCount, exists := metrics["total_messages"]; exists { + if count, ok := msgCount.(int); ok { + metrics["messages_per_participant"] = float64(count) / float64(len(partList)) + } + } + } + } + } + + if topics, exists := data["topics"]; exists { + if topicList, ok := topics.([]interface{}); ok { + metrics["topic_diversity"] = len(topicList) + } + } + + return metrics +} + +func (cat *ConversationAnalysisTool) generateConversationSuggestions(data map[string]interface{}, insights []Insight) []Suggestion { + suggestions := make([]Suggestion, 0) + + // Analyze insights to generate suggestions + for _, insight := range insights { + switch insight.Category { + case "conversation_flow": + if count, exists := insight.Metadata["message_count"]; exists { + if msgCount, ok := count.(int); ok && msgCount < 5 { + suggestions = append(suggestions, Suggestion{ + Title: "Increase Conversation Length", + Description: "Consider running the simulation longer to generate more natural conversation flow", + Priority: "medium", + Category: "simulation_tuning", + Action: "extend_simulation_duration", + Metadata: map[string]interface{}{"current_messages": msgCount}, + }) + } + } + case "participation": + suggestions = append(suggestions, Suggestion{ + Title: "Monitor Participation Balance", + Description: "Ensure all agents are participating actively in the conversation", + Priority: "low", + Category: "agent_behavior", + Action: "check_agent_engagement", + Metadata: map[string]interface{}{"insight_source": insight.Title}, + }) + } + } + + return suggestions +} + +// Helper methods for PerformanceAnalysisTool + +func (pat *PerformanceAnalysisTool) parsePerformanceData(data interface{}) (map[string]interface{}, error) { + // Similar parsing logic for performance data + switch d := data.(type) { + case map[string]interface{}: + return d, nil + case string: + var parsed map[string]interface{} + if err := json.Unmarshal([]byte(d), &parsed); err != nil { + return map[string]interface{}{ + "raw_data": d, + "type": "string", + }, nil + } + return parsed, nil + default: + return map[string]interface{}{ + "data": d, + "type": "unknown", + }, nil + } +} + +func (pat *PerformanceAnalysisTool) identifyPerformanceIssues(data map[string]interface{}) []Insight { + insights := make([]Insight, 0) + + // Check for memory usage patterns + if memory, exists := data["memory"]; exists { + if memMap, ok := memory.(map[string]interface{}); ok { + if maxBytes, exists := memMap["max_bytes"]; exists { + if max, ok := maxBytes.(int64); ok && max > 100*1024*1024 { // 100MB + insights = append(insights, Insight{ + Category: "memory_usage", + Title: "High Memory Usage Detected", + Description: fmt.Sprintf("Peak memory usage reached %d MB", max/(1024*1024)), + Confidence: 0.8, + Evidence: []string{fmt.Sprintf("Max memory: %d bytes", max)}, + Metadata: map[string]interface{}{"max_memory_bytes": max}, + }) + } + } + } + } + + // Check for CPU usage patterns + if cpu, exists := data["cpu"]; exists { + if cpuMap, ok := cpu.(map[string]interface{}); ok { + if maxPercent, exists := cpuMap["max_percent"]; exists { + if max, ok := maxPercent.(float64); ok && max > 80 { + insights = append(insights, Insight{ + Category: "cpu_usage", + Title: "High CPU Usage Detected", + Description: fmt.Sprintf("Peak CPU usage reached %.1f%%", max), + Confidence: 0.8, + Evidence: []string{fmt.Sprintf("Max CPU: %.1f%%", max)}, + Metadata: map[string]interface{}{"max_cpu_percent": max}, + }) + } + } + } + } + + return insights +} + +func (pat *PerformanceAnalysisTool) calculatePerformanceMetrics(data map[string]interface{}) map[string]interface{} { + metrics := make(map[string]interface{}) + + // Extract performance metrics + if duration, exists := data["duration"]; exists { + metrics["total_duration"] = duration + } + + if sampleCount, exists := data["sample_count"]; exists { + metrics["sample_count"] = sampleCount + } + + // Calculate efficiency metrics + if memory, exists := data["memory"]; exists { + if memMap, ok := memory.(map[string]interface{}); ok { + if avg, exists := memMap["average_bytes"]; exists { + metrics["average_memory_usage"] = avg + } + } + } + + return metrics +} + +func (pat *PerformanceAnalysisTool) generateOptimizationSuggestions(data map[string]interface{}, insights []Insight) []Suggestion { + suggestions := make([]Suggestion, 0) + + for _, insight := range insights { + switch insight.Category { + case "memory_usage": + suggestions = append(suggestions, Suggestion{ + Title: "Optimize Memory Usage", + Description: "Consider implementing memory pooling or reducing agent state complexity", + Priority: "high", + Category: "optimization", + Action: "reduce_memory_footprint", + Metadata: map[string]interface{}{"insight_source": insight.Title}, + }) + case "cpu_usage": + suggestions = append(suggestions, Suggestion{ + Title: "Optimize CPU Usage", + Description: "Consider reducing simulation frequency or optimizing agent decision algorithms", + Priority: "medium", + Category: "optimization", + Action: "optimize_cpu_usage", + Metadata: map[string]interface{}{"insight_source": insight.Title}, + }) + } + } + + return suggestions +} + +// Helper methods for DebugTool + +func (dt *DebugTool) parseSimulationData(data interface{}) (map[string]interface{}, error) { + // Similar parsing logic for simulation debug data + switch d := data.(type) { + case map[string]interface{}: + return d, nil + case string: + var parsed map[string]interface{} + if err := json.Unmarshal([]byte(d), &parsed); err != nil { + return map[string]interface{}{ + "raw_data": d, + "type": "string", + }, nil + } + return parsed, nil + default: + return map[string]interface{}{ + "data": d, + "type": "unknown", + }, nil + } +} + +func (dt *DebugTool) identifySimulationIssues(data map[string]interface{}) []Insight { + insights := make([]Insight, 0) + + // Check for simulation errors + if errors, exists := data["errors"]; exists { + if errorList, ok := errors.([]interface{}); ok && len(errorList) > 0 { + insights = append(insights, Insight{ + Category: "errors", + Title: "Simulation Errors Detected", + Description: fmt.Sprintf("Found %d errors during simulation", len(errorList)), + Confidence: 1.0, + Evidence: []string{fmt.Sprintf("%d errors logged", len(errorList))}, + Metadata: map[string]interface{}{"error_count": len(errorList)}, + }) + } + } + + // Check for agent state issues + if agents, exists := data["agents"]; exists { + if agentList, ok := agents.([]interface{}); ok { + inactiveAgents := 0 + for _, agent := range agentList { + if agentMap, ok := agent.(map[string]interface{}); ok { + if active, exists := agentMap["active"]; exists { + if isActive, ok := active.(bool); ok && !isActive { + inactiveAgents++ + } + } + } + } + + if inactiveAgents > 0 { + insights = append(insights, Insight{ + Category: "agent_state", + Title: "Inactive Agents Detected", + Description: fmt.Sprintf("%d out of %d agents are inactive", inactiveAgents, len(agentList)), + Confidence: 0.9, + Evidence: []string{fmt.Sprintf("%d inactive agents", inactiveAgents)}, + Metadata: map[string]interface{}{"inactive_count": inactiveAgents}, + }) + } + } + } + + return insights +} + +func (dt *DebugTool) calculateDebugMetrics(data map[string]interface{}) map[string]interface{} { + metrics := make(map[string]interface{}) + + if errors, exists := data["errors"]; exists { + if errorList, ok := errors.([]interface{}); ok { + metrics["error_count"] = len(errorList) + } + } + + if agents, exists := data["agents"]; exists { + if agentList, ok := agents.([]interface{}); ok { + metrics["total_agents"] = len(agentList) + } + } + + return metrics +} + +func (dt *DebugTool) generateDebugSuggestions(data map[string]interface{}, insights []Insight) []Suggestion { + suggestions := make([]Suggestion, 0) + + for _, insight := range insights { + switch insight.Category { + case "errors": + suggestions = append(suggestions, Suggestion{ + Title: "Investigate Simulation Errors", + Description: "Review error logs and fix issues causing simulation failures", + Priority: "high", + Category: "debugging", + Action: "review_error_logs", + Metadata: map[string]interface{}{"insight_source": insight.Title}, + }) + case "agent_state": + suggestions = append(suggestions, Suggestion{ + Title: "Activate Inactive Agents", + Description: "Check agent configuration and ensure all agents are properly initialized", + Priority: "medium", + Category: "debugging", + Action: "check_agent_initialization", + Metadata: map[string]interface{}{"insight_source": insight.Title}, + }) + } + } + + return suggestions +} + +// ToolRegistry manages multiple analysis tools +type ToolRegistry struct { + tools map[ToolType]Tool +} + +// NewToolRegistry creates a new tool registry with default tools +func NewToolRegistry() *ToolRegistry { + registry := &ToolRegistry{ + tools: make(map[ToolType]Tool), + } + + // Register default tools + registry.RegisterTool(ConversationAnalyzer, NewConversationAnalysisTool()) + registry.RegisterTool(PerformanceAnalyzer, NewPerformanceAnalysisTool()) + registry.RegisterTool(SimulationDebugger, NewDebugTool()) + + return registry +} + +// RegisterTool registers a tool for a specific type +func (tr *ToolRegistry) RegisterTool(toolType ToolType, tool Tool) { + tr.tools[toolType] = tool +} + +// GetTool returns a tool for the specified type +func (tr *ToolRegistry) GetTool(toolType ToolType) (Tool, error) { + tool, exists := tr.tools[toolType] + if !exists { + return nil, fmt.Errorf("no tool registered for type: %s", toolType) + } + return tool, nil +} + +// ListTools returns all registered tools +func (tr *ToolRegistry) ListTools() map[ToolType]Tool { + return tr.tools +} + +// AnalyzeWith performs analysis using the specified tool type +func (tr *ToolRegistry) AnalyzeWith(ctx context.Context, toolType ToolType, req *AnalysisRequest) (*AnalysisResult, error) { + tool, err := tr.GetTool(toolType) + if err != nil { + return nil, err + } + + // Set the type in the request if not already set + if req.Type == "" { + req.Type = toolType + } + + return tool.Analyze(ctx, req) +} + +// GenerateReport creates a comprehensive analysis report +func (tr *ToolRegistry) GenerateReport(ctx context.Context, data interface{}, options map[string]interface{}) (*ComprehensiveReport, error) { + report := &ComprehensiveReport{ + Timestamp: time.Now(), + Sections: make(map[string]*AnalysisResult), + Summary: make(map[string]interface{}), + Metadata: make(map[string]interface{}), + } + + // Run analysis with each available tool + for toolType, tool := range tr.tools { + req := &AnalysisRequest{ + Type: toolType, + Data: data, + Options: options, + Metadata: map[string]interface{}{"report_generation": true}, + } + + result, err := tool.Analyze(ctx, req) + if err != nil { + // Log error but continue with other tools + report.Metadata[fmt.Sprintf("%s_error", toolType)] = err.Error() + continue + } + + report.Sections[string(toolType)] = result + } + + // Generate overall summary + report.Summary = tr.generateReportSummary(report.Sections) + + return report, nil +} + +// ComprehensiveReport represents a multi-tool analysis report +type ComprehensiveReport struct { + Timestamp time.Time `json:"timestamp"` + Sections map[string]*AnalysisResult `json:"sections"` + Summary map[string]interface{} `json:"summary"` + Metadata map[string]interface{} `json:"metadata"` +} + +// generateReportSummary creates an overall summary from all analysis results +func (tr *ToolRegistry) generateReportSummary(sections map[string]*AnalysisResult) map[string]interface{} { + summary := make(map[string]interface{}) + + totalInsights := 0 + totalSuggestions := 0 + categories := make(map[string]int) + priorities := make(map[string]int) + + for sectionName, result := range sections { + totalInsights += len(result.Insights) + totalSuggestions += len(result.Suggestions) + + // Count insight categories + for _, insight := range result.Insights { + categories[insight.Category]++ + } + + // Count suggestion priorities + for _, suggestion := range result.Suggestions { + priorities[suggestion.Priority]++ + } + + // Include section-specific metrics + summary[fmt.Sprintf("%s_insights", sectionName)] = len(result.Insights) + summary[fmt.Sprintf("%s_suggestions", sectionName)] = len(result.Suggestions) + } + + summary["total_insights"] = totalInsights + summary["total_suggestions"] = totalSuggestions + summary["insight_categories"] = categories + summary["suggestion_priorities"] = priorities + summary["sections_analyzed"] = len(sections) + + return summary +} diff --git a/go/pkg/tools/tools_test.go b/go/pkg/tools/tools_test.go new file mode 100644 index 0000000..27dcb1d --- /dev/null +++ b/go/pkg/tools/tools_test.go @@ -0,0 +1,590 @@ +package tools + +import ( + "context" + "strings" + "testing" +) + +func TestConversationAnalysisTool(t *testing.T) { + tool := NewConversationAnalysisTool() + ctx := context.Background() + + if tool.GetName() != "Conversation Analyzer" { + t.Error("Incorrect tool name") + } + + if len(tool.GetDescription()) == 0 { + t.Error("Tool should have a description") + } + + supportedTypes := tool.GetSupportedTypes() + if len(supportedTypes) != 1 || supportedTypes[0] != ConversationAnalyzer { + t.Error("Tool should support ConversationAnalyzer type") + } + + // Test with nil request + _, err := tool.Analyze(ctx, nil) + if err == nil { + t.Error("Should return error for nil request") + } + + // Test with valid conversation data + conversationData := map[string]interface{}{ + "messages": []interface{}{ + "Hello there!", + "Hi, how are you?", + "I'm doing great, thanks!", + }, + "participants": []interface{}{"Alice", "Bob", "Charlie"}, + "topics": []interface{}{"greetings", "wellbeing"}, + } + + req := &AnalysisRequest{ + Type: ConversationAnalyzer, + Data: conversationData, + Options: map[string]interface{}{ + "analyze_sentiment": true, + }, + } + + result, err := tool.Analyze(ctx, req) + if err != nil { + t.Fatalf("Analysis failed: %v", err) + } + + if result == nil { + t.Fatal("Result should not be nil") + } + + if result.Type != ConversationAnalyzer { + t.Error("Result type should match request type") + } + + if len(result.Insights) == 0 { + t.Error("Should generate insights for conversation data") + } + + if len(result.Metrics) == 0 { + t.Error("Should generate metrics for conversation data") + } + + // Check specific insights + foundConversationFlow := false + foundParticipation := false + for _, insight := range result.Insights { + if insight.Category == "conversation_flow" { + foundConversationFlow = true + } + if insight.Category == "participation" { + foundParticipation = true + } + } + + if !foundConversationFlow { + t.Error("Should detect conversation flow insights") + } + + if !foundParticipation { + t.Error("Should detect participation insights") + } +} + +func TestPerformanceAnalysisTool(t *testing.T) { + tool := NewPerformanceAnalysisTool() + ctx := context.Background() + + if tool.GetName() != "Performance Analyzer" { + t.Error("Incorrect tool name") + } + + supportedTypes := tool.GetSupportedTypes() + if len(supportedTypes) != 1 || supportedTypes[0] != PerformanceAnalyzer { + t.Error("Tool should support PerformanceAnalyzer type") + } + + // Test with performance data showing high memory usage + performanceData := map[string]interface{}{ + "memory": map[string]interface{}{ + "max_bytes": int64(200 * 1024 * 1024), // 200MB + "average_bytes": int64(150 * 1024 * 1024), // 150MB + }, + "cpu": map[string]interface{}{ + "max_percent": 85.5, + "average_percent": 60.0, + }, + "duration": "5m30s", + "sample_count": 100, + } + + req := &AnalysisRequest{ + Type: PerformanceAnalyzer, + Data: performanceData, + } + + result, err := tool.Analyze(ctx, req) + if err != nil { + t.Fatalf("Analysis failed: %v", err) + } + + if result.Type != PerformanceAnalyzer { + t.Error("Result type should match request type") + } + + // Should detect high memory and CPU usage + foundMemoryIssue := false + foundCPUIssue := false + for _, insight := range result.Insights { + if insight.Category == "memory_usage" { + foundMemoryIssue = true + } + if insight.Category == "cpu_usage" { + foundCPUIssue = true + } + } + + if !foundMemoryIssue { + t.Error("Should detect high memory usage") + } + + if !foundCPUIssue { + t.Error("Should detect high CPU usage") + } + + // Should generate optimization suggestions + foundMemoryOptimization := false + foundCPUOptimization := false + for _, suggestion := range result.Suggestions { + if suggestion.Category == "optimization" && suggestion.Action == "reduce_memory_footprint" { + foundMemoryOptimization = true + } + if suggestion.Category == "optimization" && suggestion.Action == "optimize_cpu_usage" { + foundCPUOptimization = true + } + } + + if !foundMemoryOptimization { + t.Error("Should suggest memory optimization") + } + + if !foundCPUOptimization { + t.Error("Should suggest CPU optimization") + } +} + +func TestDebugTool(t *testing.T) { + tool := NewDebugTool() + ctx := context.Background() + + if tool.GetName() != "Simulation Debugger" { + t.Error("Incorrect tool name") + } + + supportedTypes := tool.GetSupportedTypes() + if len(supportedTypes) != 1 || supportedTypes[0] != SimulationDebugger { + t.Error("Tool should support SimulationDebugger type") + } + + // Test with simulation data showing errors and inactive agents + simulationData := map[string]interface{}{ + "errors": []interface{}{ + "Agent timeout error", + "Connection failed", + }, + "agents": []interface{}{ + map[string]interface{}{"id": "agent1", "active": true}, + map[string]interface{}{"id": "agent2", "active": false}, + map[string]interface{}{"id": "agent3", "active": false}, + }, + } + + req := &AnalysisRequest{ + Type: SimulationDebugger, + Data: simulationData, + } + + result, err := tool.Analyze(ctx, req) + if err != nil { + t.Fatalf("Analysis failed: %v", err) + } + + if result.Type != SimulationDebugger { + t.Error("Result type should match request type") + } + + // Should detect errors and inactive agents + foundErrors := false + foundInactiveAgents := false + for _, insight := range result.Insights { + if insight.Category == "errors" { + foundErrors = true + } + if insight.Category == "agent_state" { + foundInactiveAgents = true + } + } + + if !foundErrors { + t.Error("Should detect simulation errors") + } + + if !foundInactiveAgents { + t.Error("Should detect inactive agents") + } + + // Check debug metrics + if errorCount, exists := result.Metrics["error_count"]; !exists || errorCount != 2 { + t.Error("Should count errors correctly") + } + + if agentCount, exists := result.Metrics["total_agents"]; !exists || agentCount != 3 { + t.Error("Should count agents correctly") + } +} + +func TestToolRegistry(t *testing.T) { + registry := NewToolRegistry() + + // Check that default tools are registered + tools := registry.ListTools() + if len(tools) != 3 { + t.Errorf("Expected 3 default tools, got %d", len(tools)) + } + + expectedTypes := []ToolType{ConversationAnalyzer, PerformanceAnalyzer, SimulationDebugger} + for _, expectedType := range expectedTypes { + if _, exists := tools[expectedType]; !exists { + t.Errorf("Expected tool type %s not found", expectedType) + } + } + + // Test getting a tool + conversationTool, err := registry.GetTool(ConversationAnalyzer) + if err != nil { + t.Errorf("Failed to get conversation tool: %v", err) + } + + if conversationTool.GetName() != "Conversation Analyzer" { + t.Error("Retrieved tool has incorrect name") + } + + // Test getting non-existent tool + _, err = registry.GetTool("non_existent") + if err == nil { + t.Error("Should return error for non-existent tool") + } + + // Test registering a new tool + customTool := NewDebugTool() // Reuse debug tool for simplicity + registry.RegisterTool("custom_tool", customTool) + + retrievedTool, err := registry.GetTool("custom_tool") + if err != nil { + t.Errorf("Failed to get custom tool: %v", err) + } + + if retrievedTool != customTool { + t.Error("Retrieved custom tool is not the same instance") + } +} + +func TestToolRegistryAnalyzeWith(t *testing.T) { + registry := NewToolRegistry() + ctx := context.Background() + + // Test conversation analysis through registry + conversationData := map[string]interface{}{ + "messages": []interface{}{"Hello", "Hi there", "How are you?"}, + "participants": []interface{}{"Alice", "Bob"}, + } + + req := &AnalysisRequest{ + Data: conversationData, + Options: map[string]interface{}{ + "detailed": true, + }, + } + + result, err := registry.AnalyzeWith(ctx, ConversationAnalyzer, req) + if err != nil { + t.Fatalf("Registry analysis failed: %v", err) + } + + if result.Type != ConversationAnalyzer { + t.Error("Result type should be set correctly by registry") + } + + if len(result.Insights) == 0 { + t.Error("Should generate insights through registry") + } +} + +func TestComprehensiveReport(t *testing.T) { + registry := NewToolRegistry() + ctx := context.Background() + + // Test data that should trigger analysis from multiple tools + testData := map[string]interface{}{ + "messages": []interface{}{ + "Hello everyone!", + "Hi there, how are you doing?", + "I'm doing great, thanks for asking!", + }, + "participants": []interface{}{"Alice", "Bob", "Charlie"}, + "topics": []interface{}{"greetings", "wellbeing"}, + "memory": map[string]interface{}{ + "max_bytes": int64(50 * 1024 * 1024), // 50MB (below threshold) + }, + "cpu": map[string]interface{}{ + "max_percent": 45.0, // Below threshold + }, + "errors": []interface{}{}, // No errors + "agents": []interface{}{ + map[string]interface{}{"id": "agent1", "active": true}, + map[string]interface{}{"id": "agent2", "active": true}, + }, + } + + options := map[string]interface{}{ + "comprehensive": true, + "include_suggestions": true, + } + + report, err := registry.GenerateReport(ctx, testData, options) + if err != nil { + t.Fatalf("Failed to generate comprehensive report: %v", err) + } + + if report == nil { + t.Fatal("Report should not be nil") + } + + if report.Timestamp.IsZero() { + t.Error("Report should have a timestamp") + } + + // Should have sections for each tool that could analyze the data + if len(report.Sections) == 0 { + t.Error("Report should have analysis sections") + } + + // Check that conversation analysis section exists + if _, exists := report.Sections["conversation_analyzer"]; !exists { + t.Error("Report should include conversation analysis section") + } + + // Check summary + if report.Summary == nil { + t.Error("Report should have a summary") + } + + if totalInsights, exists := report.Summary["total_insights"]; !exists { + t.Error("Summary should include total insights count") + } else if count, ok := totalInsights.(int); !ok || count < 0 { + t.Error("Total insights should be a non-negative integer") + } + + if sectionsAnalyzed, exists := report.Summary["sections_analyzed"]; !exists { + t.Error("Summary should include sections analyzed count") + } else if count, ok := sectionsAnalyzed.(int); !ok || count <= 0 { + t.Error("Sections analyzed should be a positive integer") + } +} + +func TestDifferentDataTypes(t *testing.T) { + tool := NewConversationAnalysisTool() + ctx := context.Background() + + testCases := []struct { + name string + data interface{} + expectError bool + }{ + { + name: "string_data", + data: "This is a conversation string", + expectError: false, + }, + { + name: "json_string", + data: `{"messages": ["hello", "hi"], "participants": ["Alice", "Bob"]}`, + expectError: false, + }, + { + name: "slice_data", + data: []interface{}{"message1", "message2", "message3"}, + expectError: false, + }, + { + name: "map_data", + data: map[string]interface{}{ + "messages": []interface{}{"hello", "hi"}, + "participants": []interface{}{"Alice", "Bob"}, + }, + expectError: false, + }, + { + name: "number_data", + data: 12345, + expectError: false, // Should handle gracefully + }, + } + + for _, tc := range testCases { + t.Run(tc.name, func(t *testing.T) { + req := &AnalysisRequest{ + Type: ConversationAnalyzer, + Data: tc.data, + } + + result, err := tool.Analyze(ctx, req) + + if tc.expectError && err == nil { + t.Error("Expected error but got none") + } + + if !tc.expectError && err != nil { + t.Errorf("Unexpected error: %v", err) + } + + if !tc.expectError && result == nil { + t.Error("Result should not be nil for valid data") + } + }) + } +} + +func TestInsightAndSuggestionStructure(t *testing.T) { + tool := NewConversationAnalysisTool() + ctx := context.Background() + + conversationData := map[string]interface{}{ + "messages": []interface{}{"Hello", "Hi"}, + "participants": []interface{}{"Alice", "Bob"}, + "topics": []interface{}{"greetings"}, + } + + req := &AnalysisRequest{ + Type: ConversationAnalyzer, + Data: conversationData, + } + + result, err := tool.Analyze(ctx, req) + if err != nil { + t.Fatalf("Analysis failed: %v", err) + } + + // Check insight structure + for i, insight := range result.Insights { + if insight.Category == "" { + t.Errorf("Insight %d should have a category", i) + } + + if insight.Title == "" { + t.Errorf("Insight %d should have a title", i) + } + + if insight.Description == "" { + t.Errorf("Insight %d should have a description", i) + } + + if insight.Confidence < 0 || insight.Confidence > 1 { + t.Errorf("Insight %d confidence should be between 0 and 1, got %f", i, insight.Confidence) + } + + if len(insight.Evidence) == 0 { + t.Errorf("Insight %d should have evidence", i) + } + + if insight.Metadata == nil { + t.Errorf("Insight %d should have metadata", i) + } + } + + // Check suggestion structure + for i, suggestion := range result.Suggestions { + if suggestion.Title == "" { + t.Errorf("Suggestion %d should have a title", i) + } + + if suggestion.Description == "" { + t.Errorf("Suggestion %d should have a description", i) + } + + if suggestion.Priority == "" { + t.Errorf("Suggestion %d should have a priority", i) + } + + validPriorities := []string{"high", "medium", "low"} + found := false + for _, valid := range validPriorities { + if suggestion.Priority == valid { + found = true + break + } + } + if !found { + t.Errorf("Suggestion %d has invalid priority: %s", i, suggestion.Priority) + } + + if suggestion.Category == "" { + t.Errorf("Suggestion %d should have a category", i) + } + + if suggestion.Action == "" { + t.Errorf("Suggestion %d should have an action", i) + } + } +} + +func TestUnsupportedAnalysisType(t *testing.T) { + tool := NewConversationAnalysisTool() + ctx := context.Background() + + req := &AnalysisRequest{ + Type: "unsupported_type", + Data: map[string]interface{}{"test": "data"}, + } + + _, err := tool.Analyze(ctx, req) + if err == nil { + t.Error("Should return error for unsupported analysis type") + } + + if !strings.Contains(err.Error(), "unsupported analysis type") { + t.Errorf("Error message should mention unsupported type, got: %v", err) + } +} + +func TestEmptyData(t *testing.T) { + tool := NewConversationAnalysisTool() + ctx := context.Background() + + // Test with empty data + req := &AnalysisRequest{ + Type: ConversationAnalyzer, + Data: map[string]interface{}{}, + } + + result, err := tool.Analyze(ctx, req) + if err != nil { + t.Fatalf("Should handle empty data gracefully: %v", err) + } + + if result == nil { + t.Fatal("Result should not be nil") + } + + // Should still have basic structure even with empty data + if result.Metrics == nil { + t.Error("Result should have metrics map even with empty data") + } + + if result.Insights == nil { + t.Error("Result should have insights slice even with empty data") + } + + if result.Suggestions == nil { + t.Error("Result should have suggestions slice even with empty data") + } +} diff --git a/go/pkg/ui/ui.go b/go/pkg/ui/ui.go new file mode 100644 index 0000000..4041787 --- /dev/null +++ b/go/pkg/ui/ui.go @@ -0,0 +1,34 @@ +// Package ui provides user interface components for TinyTroupe simulations. +// This module will handle web interface components, visualization tools, and interactive controls. +package ui + +// TODO: This package will be implemented in Phase 3 of the migration plan. +// It will provide capabilities for: +// - Web interface components +// - Visualization tools +// - Interactive controls +// - Dashboard functionality + +// UIComponent interface will define UI component capabilities +type UIComponent interface { + // Render renders the UI component + Render() (string, error) + + // HandleEvent handles UI events + HandleEvent(event interface{}) error +} + +// Placeholder for future implementation +var _ UIComponent = (*component)(nil) + +type component struct{} + +func (c *component) Render() (string, error) { + // TODO: Implement rendering logic + return "", nil +} + +func (c *component) HandleEvent(event interface{}) error { + // TODO: Implement event handling logic + return nil +} diff --git a/go/pkg/utils/utils.go b/go/pkg/utils/utils.go new file mode 100644 index 0000000..1a7bbab --- /dev/null +++ b/go/pkg/utils/utils.go @@ -0,0 +1,257 @@ +// Package utils provides common utilities and helper functions +// for the TinyTroupe Go implementation. +package utils + +import ( + "crypto/rand" + "encoding/hex" + "fmt" + "log" + "os" + "path/filepath" + "reflect" + "strconv" + "strings" + "time" +) + +// Logger provides a structured logging interface +type Logger interface { + Debug(msg string, args ...interface{}) + Info(msg string, args ...interface{}) + Warn(msg string, args ...interface{}) + Error(msg string, args ...interface{}) +} + +// DefaultLogger is a simple logger implementation +type DefaultLogger struct { + prefix string +} + +// NewLogger creates a new logger with the given prefix +func NewLogger(prefix string) *DefaultLogger { + return &DefaultLogger{prefix: prefix} +} + +// Debug logs a debug message +func (l *DefaultLogger) Debug(msg string, args ...interface{}) { + log.Printf("[DEBUG][%s] %s", l.prefix, fmt.Sprintf(msg, args...)) +} + +// Info logs an info message +func (l *DefaultLogger) Info(msg string, args ...interface{}) { + log.Printf("[INFO][%s] %s", l.prefix, fmt.Sprintf(msg, args...)) +} + +// Warn logs a warning message +func (l *DefaultLogger) Warn(msg string, args ...interface{}) { + log.Printf("[WARN][%s] %s", l.prefix, fmt.Sprintf(msg, args...)) +} + +// Error logs an error message +func (l *DefaultLogger) Error(msg string, args ...interface{}) { + log.Printf("[ERROR][%s] %s", l.prefix, fmt.Sprintf(msg, args...)) +} + +// StringUtils provides string manipulation utilities +type StringUtils struct{} + +// TruncateString truncates a string to the specified length +func (StringUtils) TruncateString(s string, maxLen int) string { + if len(s) <= maxLen { + return s + } + if maxLen <= 3 { + return s[:maxLen] + } + return s[:maxLen-3] + "..." +} + +// NormalizeSpaces replaces multiple consecutive spaces with a single space +func (StringUtils) NormalizeSpaces(s string) string { + return strings.Join(strings.Fields(s), " ") +} + +// ToCamelCase converts a string to camelCase +func (StringUtils) ToCamelCase(s string) string { + words := strings.Fields(strings.ToLower(s)) + if len(words) == 0 { + return "" + } + + result := words[0] + for i := 1; i < len(words); i++ { + result += strings.Title(words[i]) + } + return result +} + +// ToSnakeCase converts a string to snake_case +func (StringUtils) ToSnakeCase(s string) string { + var result strings.Builder + for i, r := range s { + if i > 0 && 'A' <= r && r <= 'Z' { + result.WriteByte('_') + } + result.WriteRune(r) + } + return strings.ToLower(result.String()) +} + +// FileUtils provides file system utilities +type FileUtils struct{} + +// EnsureDir ensures that a directory exists, creating it if necessary +func (FileUtils) EnsureDir(dirPath string) error { + return os.MkdirAll(dirPath, 0755) +} + +// FileExists checks if a file exists +func (FileUtils) FileExists(filePath string) bool { + _, err := os.Stat(filePath) + return !os.IsNotExist(err) +} + +// GetFileSize returns the size of a file in bytes +func (FileUtils) GetFileSize(filePath string) (int64, error) { + info, err := os.Stat(filePath) + if err != nil { + return 0, err + } + return info.Size(), nil +} + +// GetTempDir returns a temporary directory path +func (FileUtils) GetTempDir() string { + return os.TempDir() +} + +// JoinPath joins path elements +func (FileUtils) JoinPath(elements ...string) string { + return filepath.Join(elements...) +} + +// TimeUtils provides time-related utilities +type TimeUtils struct{} + +// FormatDuration formats a duration in a human-readable way +func (TimeUtils) FormatDuration(d time.Duration) string { + if d < time.Second { + return fmt.Sprintf("%.0fms", d.Seconds()*1000) + } + if d < time.Minute { + return fmt.Sprintf("%.1fs", d.Seconds()) + } + if d < time.Hour { + return fmt.Sprintf("%.1fm", d.Minutes()) + } + return fmt.Sprintf("%.1fh", d.Hours()) +} + +// ParseDuration parses a duration string with support for additional units +func (TimeUtils) ParseDuration(s string) (time.Duration, error) { + // First try standard parsing + d, err := time.ParseDuration(s) + if err == nil { + return d, nil + } + + // Try parsing with additional units + if strings.HasSuffix(s, "d") { + days, err := strconv.ParseFloat(s[:len(s)-1], 64) + if err != nil { + return 0, err + } + return time.Duration(days * 24 * float64(time.Hour)), nil + } + + return 0, err +} + +// GetCurrentTimestamp returns the current timestamp as a string +func (TimeUtils) GetCurrentTimestamp() string { + return time.Now().Format(time.RFC3339) +} + +// RandomUtils provides random generation utilities +type RandomUtils struct{} + +// GenerateID generates a random hex ID of the specified length +func (RandomUtils) GenerateID(length int) string { + bytes := make([]byte, length/2) + if _, err := rand.Read(bytes); err != nil { + // Fallback to timestamp-based ID if random fails + return fmt.Sprintf("%d", time.Now().UnixNano()) + } + return hex.EncodeToString(bytes) +} + +// PickRandom picks a random element from a slice +func (RandomUtils) PickRandom(slice interface{}) (interface{}, error) { + v := reflect.ValueOf(slice) + if v.Kind() != reflect.Slice { + return nil, fmt.Errorf("argument must be a slice") + } + + if v.Len() == 0 { + return nil, fmt.Errorf("slice is empty") + } + + bytes := make([]byte, 1) + if _, err := rand.Read(bytes); err != nil { + return nil, err + } + + index := int(bytes[0]) % v.Len() + return v.Index(index).Interface(), nil +} + +// ConversionUtils provides type conversion utilities +type ConversionUtils struct{} + +// ToStringMap converts a map[string]interface{} safely +func (ConversionUtils) ToStringMap(m interface{}) (map[string]interface{}, error) { + switch v := m.(type) { + case map[string]interface{}: + return v, nil + case map[interface{}]interface{}: + result := make(map[string]interface{}) + for key, value := range v { + strKey, ok := key.(string) + if !ok { + return nil, fmt.Errorf("key %v is not a string", key) + } + result[strKey] = value + } + return result, nil + default: + return nil, fmt.Errorf("cannot convert %T to map[string]interface{}", m) + } +} + +// ToString converts various types to string +func (ConversionUtils) ToString(v interface{}) string { + switch val := v.(type) { + case string: + return val + case int, int32, int64: + return fmt.Sprintf("%d", val) + case float32, float64: + return fmt.Sprintf("%g", val) + case bool: + return strconv.FormatBool(val) + case nil: + return "" + default: + return fmt.Sprintf("%v", val) + } +} + +// Global utility instances for easy access +var ( + Strings = StringUtils{} + Files = FileUtils{} + Times = TimeUtils{} + Random = RandomUtils{} + Conversions = ConversionUtils{} +) diff --git a/go/pkg/utils/utils_test.go b/go/pkg/utils/utils_test.go new file mode 100644 index 0000000..c28ecb2 --- /dev/null +++ b/go/pkg/utils/utils_test.go @@ -0,0 +1,197 @@ +package utils + +import ( + "strings" + "testing" + "time" +) + +func TestStringUtils(t *testing.T) { + // Test TruncateString + result := Strings.TruncateString("Hello World", 5) + if result != "He..." { + t.Errorf("Expected 'He...', got '%s'", result) + } + + // Test short string + result = Strings.TruncateString("Hi", 10) + if result != "Hi" { + t.Errorf("Expected 'Hi', got '%s'", result) + } + + // Test NormalizeSpaces + result = Strings.NormalizeSpaces(" Hello World ") + if result != "Hello World" { + t.Errorf("Expected 'Hello World', got '%s'", result) + } + + // Test ToCamelCase + result = Strings.ToCamelCase("hello world test") + if result != "helloWorldTest" { + t.Errorf("Expected 'helloWorldTest', got '%s'", result) + } + + // Test ToSnakeCase + result = Strings.ToSnakeCase("HelloWorldTest") + if result != "hello_world_test" { + t.Errorf("Expected 'hello_world_test', got '%s'", result) + } +} + +func TestFileUtils(t *testing.T) { + // Test JoinPath + path := Files.JoinPath("home", "user", "documents") + // On Windows, this might be different, but for testing we'll use forward slashes + if !strings.Contains(path, "user") || !strings.Contains(path, "documents") { + t.Errorf("Path join failed: got '%s'", path) + } + + // Test GetTempDir + tempDir := Files.GetTempDir() + if tempDir == "" { + t.Error("Expected non-empty temp directory") + } +} + +func TestTimeUtils(t *testing.T) { + // Test FormatDuration + tests := []struct { + duration time.Duration + contains string + }{ + {100 * time.Millisecond, "ms"}, + {5 * time.Second, "s"}, + {2 * time.Minute, "m"}, + {1 * time.Hour, "h"}, + } + + for _, test := range tests { + result := Times.FormatDuration(test.duration) + if !strings.Contains(result, test.contains) { + t.Errorf("Expected duration '%v' to contain '%s', got '%s'", test.duration, test.contains, result) + } + } + + // Test ParseDuration with days + duration, err := Times.ParseDuration("2d") + if err != nil { + t.Errorf("Failed to parse '2d': %v", err) + } + expected := 48 * time.Hour + if duration != expected { + t.Errorf("Expected %v, got %v", expected, duration) + } + + // Test GetCurrentTimestamp + timestamp := Times.GetCurrentTimestamp() + if timestamp == "" { + t.Error("Expected non-empty timestamp") + } + + // Verify it's a valid RFC3339 timestamp + _, err = time.Parse(time.RFC3339, timestamp) + if err != nil { + t.Errorf("Invalid timestamp format: %v", err) + } +} + +func TestRandomUtils(t *testing.T) { + // Test GenerateID + id := Random.GenerateID(16) + if len(id) != 16 { + t.Errorf("Expected ID length 16, got %d", len(id)) + } + + // Test PickRandom with string slice + slice := []string{"a", "b", "c"} + result, err := Random.PickRandom(slice) + if err != nil { + t.Errorf("Failed to pick random: %v", err) + } + + str, ok := result.(string) + if !ok { + t.Error("Expected string result") + } + + found := false + for _, item := range slice { + if item == str { + found = true + break + } + } + if !found { + t.Errorf("Random pick '%s' not found in original slice", str) + } + + // Test PickRandom with empty slice + empty := []string{} + _, err = Random.PickRandom(empty) + if err == nil { + t.Error("Expected error for empty slice") + } + + // Test PickRandom with non-slice + _, err = Random.PickRandom("not a slice") + if err == nil { + t.Error("Expected error for non-slice") + } +} + +func TestConversionUtils(t *testing.T) { + // Test ToString + tests := []struct { + input interface{} + expected string + }{ + {"hello", "hello"}, + {42, "42"}, + {3.14, "3.14"}, + {true, "true"}, + {nil, ""}, + } + + for _, test := range tests { + result := Conversions.ToString(test.input) + if result != test.expected { + t.Errorf("ToString(%v): expected '%s', got '%s'", test.input, test.expected, result) + } + } + + // Test ToStringMap + stringMap := map[string]interface{}{"key": "value"} + result, err := Conversions.ToStringMap(stringMap) + if err != nil { + t.Errorf("Failed to convert string map: %v", err) + } + if result["key"] != "value" { + t.Errorf("Expected 'value', got '%v'", result["key"]) + } + + // Test ToStringMap with interface{} keys + interfaceMap := map[interface{}]interface{}{"key": "value"} + result, err = Conversions.ToStringMap(interfaceMap) + if err != nil { + t.Errorf("Failed to convert interface map: %v", err) + } + if result["key"] != "value" { + t.Errorf("Expected 'value', got '%v'", result["key"]) + } + + // Test ToStringMap with invalid input + _, err = Conversions.ToStringMap("not a map") + if err == nil { + t.Error("Expected error for invalid input") + } +} + +func TestDefaultLogger(t *testing.T) { + logger := NewLogger("test") + + // These don't return anything, just ensure they don't panic + logger.Debug("Debug message") + logger.Info("Info message") + logger.Warn("Warning message") + logger.Error("Error message") +} diff --git a/go/pkg/validation/validation.go b/go/pkg/validation/validation.go new file mode 100644 index 0000000..e9684c5 --- /dev/null +++ b/go/pkg/validation/validation.go @@ -0,0 +1,504 @@ +// Package validation provides input validation and error handling utilities +// for the TinyTroupe Go implementation. +package validation + +import ( + "fmt" + "net/url" + "reflect" + "regexp" + "strconv" + "strings" + "time" +) + +// Validator interface defines validation capabilities +type Validator interface { + Validate(value interface{}) error +} + +// ValidationError represents a validation error +type ValidationError struct { + Field string + Value interface{} + Message string +} + +// Error implements the error interface +func (ve *ValidationError) Error() string { + return fmt.Sprintf("validation failed for field '%s': %s (value: %v)", ve.Field, ve.Message, ve.Value) +} + +// ValidationErrors represents multiple validation errors +type ValidationErrors []ValidationError + +// Error implements the error interface +func (ves ValidationErrors) Error() string { + if len(ves) == 0 { + return "" + } + if len(ves) == 1 { + return ves[0].Error() + } + + var messages []string + for _, ve := range ves { + messages = append(messages, ve.Error()) + } + return fmt.Sprintf("multiple validation errors: %s", strings.Join(messages, "; ")) +} + +// IsEmpty checks if ValidationErrors is empty +func (ves ValidationErrors) IsEmpty() bool { + return len(ves) == 0 +} + +// StringValidator validates string values +type StringValidator struct { + MinLength int + MaxLength int + Pattern *regexp.Regexp + AllowedValues []string + Required bool +} + +// Validate implements Validator interface +func (sv *StringValidator) Validate(value interface{}) error { + str, ok := value.(string) + if !ok { + return &ValidationError{ + Value: value, + Message: "value must be a string", + } + } + + if sv.Required && str == "" { + return &ValidationError{ + Value: value, + Message: "value is required and cannot be empty", + } + } + + if sv.MinLength > 0 && len(str) < sv.MinLength { + return &ValidationError{ + Value: value, + Message: fmt.Sprintf("string length must be at least %d characters", sv.MinLength), + } + } + + if sv.MaxLength > 0 && len(str) > sv.MaxLength { + return &ValidationError{ + Value: value, + Message: fmt.Sprintf("string length must not exceed %d characters", sv.MaxLength), + } + } + + if sv.Pattern != nil && !sv.Pattern.MatchString(str) { + return &ValidationError{ + Value: value, + Message: fmt.Sprintf("string does not match required pattern: %s", sv.Pattern.String()), + } + } + + if len(sv.AllowedValues) > 0 { + for _, allowed := range sv.AllowedValues { + if str == allowed { + return nil + } + } + return &ValidationError{ + Value: value, + Message: fmt.Sprintf("value must be one of: %s", strings.Join(sv.AllowedValues, ", ")), + } + } + + return nil +} + +// NumberValidator validates numeric values +type NumberValidator struct { + Min *float64 + Max *float64 + Required bool +} + +// Validate implements Validator interface +func (nv *NumberValidator) Validate(value interface{}) error { + if value == nil { + if nv.Required { + return &ValidationError{ + Value: value, + Message: "value is required", + } + } + return nil + } + + var num float64 + switch v := value.(type) { + case int: + num = float64(v) + case int32: + num = float64(v) + case int64: + num = float64(v) + case float32: + num = float64(v) + case float64: + num = v + case string: + var err error + num, err = strconv.ParseFloat(v, 64) + if err != nil { + return &ValidationError{ + Value: value, + Message: "value must be a valid number", + } + } + default: + return &ValidationError{ + Value: value, + Message: "value must be a number", + } + } + + if nv.Min != nil && num < *nv.Min { + return &ValidationError{ + Value: value, + Message: fmt.Sprintf("value must be at least %g", *nv.Min), + } + } + + if nv.Max != nil && num > *nv.Max { + return &ValidationError{ + Value: value, + Message: fmt.Sprintf("value must not exceed %g", *nv.Max), + } + } + + return nil +} + +// EmailValidator validates email values using a simple regex pattern +type EmailValidator struct { + Required bool +} + +// Validate implements Validator interface +func (ev *EmailValidator) Validate(value interface{}) error { + str, ok := value.(string) + if !ok { + return &ValidationError{ + Value: value, + Message: "value must be a string", + } + } + + if str == "" { + if ev.Required { + return &ValidationError{ + Value: value, + Message: "email is required", + } + } + return nil + } + + // Simple email regex pattern - basic validation + emailPattern := regexp.MustCompile(`^[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}$`) + if !emailPattern.MatchString(str) { + return &ValidationError{ + Value: value, + Message: "value must be a valid email address", + } + } + + // Additional checks for common invalid patterns + if strings.Contains(str, "..") || strings.Contains(str, " ") { + return &ValidationError{ + Value: value, + Message: "value must be a valid email address", + } + } + + return nil +} + +// URLValidator validates URL values +type URLValidator struct { + RequireHTTPS bool + Required bool +} + +// Validate implements Validator interface +func (uv *URLValidator) Validate(value interface{}) error { + str, ok := value.(string) + if !ok { + return &ValidationError{ + Value: value, + Message: "value must be a string", + } + } + + if str == "" { + if uv.Required { + return &ValidationError{ + Value: value, + Message: "URL is required", + } + } + return nil + } + + u, err := url.Parse(str) + if err != nil { + return &ValidationError{ + Value: value, + Message: "value must be a valid URL", + } + } + + if u.Scheme == "" { + return &ValidationError{ + Value: value, + Message: "URL must include a scheme (http:// or https://)", + } + } + + if uv.RequireHTTPS && u.Scheme != "https" { + return &ValidationError{ + Value: value, + Message: "URL must use HTTPS", + } + } + + return nil +} + +// TimeValidator validates time values +type TimeValidator struct { + After *time.Time + Before *time.Time + Required bool +} + +// Validate implements Validator interface +func (tv *TimeValidator) Validate(value interface{}) error { + if value == nil { + if tv.Required { + return &ValidationError{ + Value: value, + Message: "time value is required", + } + } + return nil + } + + var t time.Time + switch v := value.(type) { + case time.Time: + t = v + case string: + var err error + t, err = time.Parse(time.RFC3339, v) + if err != nil { + return &ValidationError{ + Value: value, + Message: "time must be in RFC3339 format", + } + } + default: + return &ValidationError{ + Value: value, + Message: "value must be a time.Time or RFC3339 string", + } + } + + if tv.After != nil && t.Before(*tv.After) { + return &ValidationError{ + Value: value, + Message: fmt.Sprintf("time must be after %s", tv.After.Format(time.RFC3339)), + } + } + + if tv.Before != nil && t.After(*tv.Before) { + return &ValidationError{ + Value: value, + Message: fmt.Sprintf("time must be before %s", tv.Before.Format(time.RFC3339)), + } + } + + return nil +} + +// StructValidator validates struct fields using tags +type StructValidator struct{} + +// Validate validates a struct using field tags +func (sv *StructValidator) Validate(value interface{}) error { + v := reflect.ValueOf(value) + if v.Kind() == reflect.Ptr { + v = v.Elem() + } + + if v.Kind() != reflect.Struct { + return &ValidationError{ + Value: value, + Message: "value must be a struct", + } + } + + var errors ValidationErrors + t := v.Type() + + for i := 0; i < v.NumField(); i++ { + field := v.Field(i) + fieldType := t.Field(i) + + // Skip unexported fields + if !field.CanInterface() { + continue + } + + tag := fieldType.Tag.Get("validate") + if tag == "" { + continue + } + + err := sv.validateField(fieldType.Name, field.Interface(), tag) + if err != nil { + if ve, ok := err.(*ValidationError); ok { + ve.Field = fieldType.Name + errors = append(errors, *ve) + } else if ves, ok := err.(ValidationErrors); ok { + for _, ve := range ves { + ve.Field = fieldType.Name + errors = append(errors, ve) + } + } + } + } + + if len(errors) > 0 { + return errors + } + + return nil +} + +// validateField validates a single field based on validation tags +func (sv *StructValidator) validateField(fieldName string, value interface{}, tag string) error { + rules := strings.Split(tag, ",") + + for _, rule := range rules { + rule = strings.TrimSpace(rule) + if rule == "" { + continue + } + + parts := strings.SplitN(rule, "=", 2) + ruleName := parts[0] + ruleValue := "" + if len(parts) == 2 { + ruleValue = parts[1] + } + + err := sv.validateRule(value, ruleName, ruleValue) + if err != nil { + return err + } + } + + return nil +} + +// validateRule applies a specific validation rule +func (sv *StructValidator) validateRule(value interface{}, ruleName, ruleValue string) error { + switch ruleName { + case "required": + if value == nil || (reflect.ValueOf(value).Kind() == reflect.String && value.(string) == "") { + return &ValidationError{ + Value: value, + Message: "field is required", + } + } + case "min": + min, err := strconv.ParseFloat(ruleValue, 64) + if err != nil { + return &ValidationError{ + Value: value, + Message: "invalid min validation rule", + } + } + validator := &NumberValidator{Min: &min} + return validator.Validate(value) + case "max": + max, err := strconv.ParseFloat(ruleValue, 64) + if err != nil { + return &ValidationError{ + Value: value, + Message: "invalid max validation rule", + } + } + validator := &NumberValidator{Max: &max} + return validator.Validate(value) + case "minlen": + minLen, err := strconv.Atoi(ruleValue) + if err != nil { + return &ValidationError{ + Value: value, + Message: "invalid minlen validation rule", + } + } + validator := &StringValidator{MinLength: minLen} + return validator.Validate(value) + case "maxlen": + maxLen, err := strconv.Atoi(ruleValue) + if err != nil { + return &ValidationError{ + Value: value, + Message: "invalid maxlen validation rule", + } + } + validator := &StringValidator{MaxLength: maxLen} + return validator.Validate(value) + case "url": + validator := &URLValidator{} + return validator.Validate(value) + case "https": + validator := &URLValidator{RequireHTTPS: true} + return validator.Validate(value) + case "email": + validator := &EmailValidator{} + return validator.Validate(value) + } + + return nil +} + +// Common validator instances +var ( + RequiredString = &StringValidator{Required: true} + RequiredNumber = &NumberValidator{Required: true} + RequiredURL = &URLValidator{Required: true} + RequiredEmail = &EmailValidator{Required: true} + HTTPSOnly = &URLValidator{RequireHTTPS: true, Required: true} + Struct = &StructValidator{} +) + +// Helper functions +func Min(value float64) *float64 { + return &value +} + +func Max(value float64) *float64 { + return &value +} + +func After(t time.Time) *time.Time { + return &t +} + +func Before(t time.Time) *time.Time { + return &t +} diff --git a/go/pkg/validation/validation_test.go b/go/pkg/validation/validation_test.go new file mode 100644 index 0000000..c284b10 --- /dev/null +++ b/go/pkg/validation/validation_test.go @@ -0,0 +1,349 @@ +package validation + +import ( + "testing" + "time" +) + +func TestStringValidator(t *testing.T) { + // Test required string + validator := &StringValidator{Required: true} + + err := validator.Validate("") + if err == nil { + t.Error("Expected error for empty required string") + } + + err = validator.Validate("valid") + if err != nil { + t.Errorf("Expected no error for valid string, got %v", err) + } + + // Test min/max length + validator = &StringValidator{MinLength: 5, MaxLength: 10} + + err = validator.Validate("sh") + if err == nil { + t.Error("Expected error for string too short") + } + + err = validator.Validate("this string is too long") + if err == nil { + t.Error("Expected error for string too long") + } + + err = validator.Validate("perfect") + if err != nil { + t.Errorf("Expected no error for valid length, got %v", err) + } + + // Test allowed values + validator = &StringValidator{AllowedValues: []string{"apple", "banana", "orange"}} + + err = validator.Validate("grape") + if err == nil { + t.Error("Expected error for disallowed value") + } + + err = validator.Validate("apple") + if err != nil { + t.Errorf("Expected no error for allowed value, got %v", err) + } + + // Test non-string input + err = validator.Validate(123) + if err == nil { + t.Error("Expected error for non-string input") + } +} + +func TestNumberValidator(t *testing.T) { + min := 0.0 + max := 100.0 + validator := &NumberValidator{Min: &min, Max: &max} + + // Test valid numbers + err := validator.Validate(50) + if err != nil { + t.Errorf("Expected no error for valid int, got %v", err) + } + + err = validator.Validate(75.5) + if err != nil { + t.Errorf("Expected no error for valid float, got %v", err) + } + + err = validator.Validate("25") + if err != nil { + t.Errorf("Expected no error for valid string number, got %v", err) + } + + // Test invalid range + err = validator.Validate(-10) + if err == nil { + t.Error("Expected error for number below minimum") + } + + err = validator.Validate(150) + if err == nil { + t.Error("Expected error for number above maximum") + } + + // Test invalid input + err = validator.Validate("not a number") + if err == nil { + t.Error("Expected error for invalid string number") + } + + err = validator.Validate([]int{1, 2, 3}) + if err == nil { + t.Error("Expected error for non-numeric input") + } +} + +func TestEmailValidator(t *testing.T) { + validator := &EmailValidator{} + + // Test valid emails + validEmails := []string{ + "test@example.com", + "user.name@domain.co.uk", + "first.last+tag@subdomain.example.org", + "email123@test123.com", + } + + for _, email := range validEmails { + err := validator.Validate(email) + if err != nil { + t.Errorf("Expected no error for valid email %s, got %v", email, err) + } + } + + // Test invalid emails + invalidEmails := []string{ + "invalid-email", + "@example.com", + "test@", + "test..test@example.com", // Double dots + "test @example.com", // Space + } + + for _, email := range invalidEmails { + err := validator.Validate(email) + if err == nil { + t.Errorf("Expected error for invalid email %s", email) + } + } + + // Test empty string for non-required validator + err := validator.Validate("") + if err != nil { + t.Errorf("Expected no error for empty non-required email, got %v", err) + } + + // Test required email + requiredValidator := &EmailValidator{Required: true} + + err = requiredValidator.Validate("") + if err == nil { + t.Error("Expected error for empty required email") + } + + err = requiredValidator.Validate("test@example.com") + if err != nil { + t.Errorf("Expected no error for valid required email, got %v", err) + } + + // Test non-string input + err = validator.Validate(123) + if err == nil { + t.Error("Expected error for non-string input") + } +} + +func TestURLValidator(t *testing.T) { + validator := &URLValidator{} + + // Test valid URLs + err := validator.Validate("https://example.com") + if err != nil { + t.Errorf("Expected no error for valid HTTPS URL, got %v", err) + } + + err = validator.Validate("http://example.com") + if err != nil { + t.Errorf("Expected no error for valid HTTP URL, got %v", err) + } + + // Test invalid URLs + err = validator.Validate("not a url") + if err == nil { + t.Error("Expected error for invalid URL") + } + + err = validator.Validate("example.com") + if err == nil { + t.Error("Expected error for URL without scheme") + } + + // Test HTTPS requirement + httpsValidator := &URLValidator{RequireHTTPS: true} + + err = httpsValidator.Validate("http://example.com") + if err == nil { + t.Error("Expected error for HTTP URL when HTTPS required") + } + + err = httpsValidator.Validate("https://example.com") + if err != nil { + t.Errorf("Expected no error for HTTPS URL, got %v", err) + } + + // Test non-string input + err = validator.Validate(123) + if err == nil { + t.Error("Expected error for non-string input") + } +} + +func TestTimeValidator(t *testing.T) { + now := time.Now() + after := now.Add(time.Hour) + before := now.Add(-time.Hour) + + validator := &TimeValidator{After: &before, Before: &after} + + // Test valid time + err := validator.Validate(now) + if err != nil { + t.Errorf("Expected no error for valid time, got %v", err) + } + + // Test RFC3339 string + err = validator.Validate(now.Format(time.RFC3339)) + if err != nil { + t.Errorf("Expected no error for valid RFC3339 string, got %v", err) + } + + // Test time before range + err = validator.Validate(before.Add(-time.Hour)) + if err == nil { + t.Error("Expected error for time before allowed range") + } + + // Test time after range + err = validator.Validate(after.Add(time.Hour)) + if err == nil { + t.Error("Expected error for time after allowed range") + } + + // Test invalid input + err = validator.Validate("not a time") + if err == nil { + t.Error("Expected error for invalid time string") + } + + err = validator.Validate(123) + if err == nil { + t.Error("Expected error for non-time input") + } +} + +func TestStructValidator(t *testing.T) { + type TestStruct struct { + Name string `validate:"required,minlen=2,maxlen=50"` + Age int `validate:"required,min=0,max=150"` + Email string `validate:"required,email"` + URL string `validate:"url"` + } + + validator := &StructValidator{} + + // Test valid struct + valid := TestStruct{ + Name: "John Doe", + Age: 30, + Email: "john@example.com", + URL: "https://example.com", + } + + err := validator.Validate(valid) + if err != nil { + t.Errorf("Expected no error for valid struct, got %v", err) + } + + // Test invalid struct + invalid := TestStruct{ + Name: "", // Required field empty + Age: -5, // Below minimum + Email: "invalid-email", // Invalid email format + URL: "not a url", + } + + err = validator.Validate(invalid) + if err == nil { + t.Error("Expected error for invalid struct") + } + + // Check that it's ValidationErrors + if _, ok := err.(ValidationErrors); !ok { + t.Errorf("Expected ValidationErrors, got %T", err) + } + + // Test non-struct input + err = validator.Validate("not a struct") + if err == nil { + t.Error("Expected error for non-struct input") + } +} + +func TestValidationErrors(t *testing.T) { + errors := ValidationErrors{ + ValidationError{Field: "field1", Message: "error1"}, + ValidationError{Field: "field2", Message: "error2"}, + } + + if errors.IsEmpty() { + t.Error("Expected ValidationErrors to not be empty") + } + + errorMsg := errors.Error() + if errorMsg == "" { + t.Error("Expected non-empty error message") + } + + // Test empty ValidationErrors + empty := ValidationErrors{} + if !empty.IsEmpty() { + t.Error("Expected empty ValidationErrors to be empty") + } + + if empty.Error() != "" { + t.Error("Expected empty error message for empty ValidationErrors") + } +} + +func TestHelperFunctions(t *testing.T) { + // Test Min/Max helpers + min := Min(10.5) + if min == nil || *min != 10.5 { + t.Errorf("Expected Min to return pointer to 10.5, got %v", min) + } + + max := Max(100.0) + if max == nil || *max != 100.0 { + t.Errorf("Expected Max to return pointer to 100.0, got %v", max) + } + + // Test After/Before helpers + now := time.Now() + after := After(now) + if after == nil || !after.Equal(now) { + t.Errorf("Expected After to return pointer to time, got %v", after) + } + + before := Before(now) + if before == nil || !before.Equal(now) { + t.Errorf("Expected Before to return pointer to time, got %v", before) + } +} diff --git a/go/scripts/migrate-module.sh b/go/scripts/migrate-module.sh new file mode 100755 index 0000000..4271434 --- /dev/null +++ b/go/scripts/migrate-module.sh @@ -0,0 +1,86 @@ +#!/bin/bash + +# migrate-module.sh - Template for creating new TinyTroupe Go modules +# Usage: ./scripts/migrate-module.sh + +set -e + +MODULE_NAME="$1" +PHASE="$2" + +if [ -z "$MODULE_NAME" ]; then + echo "Usage: $0 " + echo "Example: $0 control 1" + exit 1 +fi + +if [ -z "$PHASE" ]; then + PHASE="1" +fi + +# Module directory +MODULE_DIR="pkg/$MODULE_NAME" + +# Check if module already exists +if [ -d "$MODULE_DIR" ]; then + echo "Module $MODULE_NAME already exists at $MODULE_DIR" + exit 1 +fi + +echo "Creating module: $MODULE_NAME (Phase $PHASE)" + +# Create module directory +mkdir -p "$MODULE_DIR" + +# Create basic Go file +cat > "$MODULE_DIR/$MODULE_NAME.go" << EOF +// Package $MODULE_NAME provides [MODULE_DESCRIPTION]. +// This module is part of Phase $PHASE of the Python to Go migration plan. +package $MODULE_NAME + +// TODO: This package is part of Phase $PHASE migration. +// Implement the functionality based on the original Python TinyTroupe module. + +// [MODULE_NAME_CAPITALIZED]Interface defines the main interface for this module +type ${MODULE_NAME^}Interface interface { + // TODO: Define interface methods +} + +// ${MODULE_NAME^}Config holds configuration for this module +type ${MODULE_NAME^}Config struct { + // TODO: Define configuration fields +} + +// Default${MODULE_NAME^}Config returns default configuration +func Default${MODULE_NAME^}Config() *${MODULE_NAME^}Config { + return &${MODULE_NAME^}Config{ + // TODO: Set default values + } +} +EOF + +# Create basic test file +cat > "$MODULE_DIR/${MODULE_NAME}_test.go" << EOF +package $MODULE_NAME + +import ( + "testing" +) + +func TestDefault${MODULE_NAME^}Config(t *testing.T) { + config := Default${MODULE_NAME^}Config() + if config == nil { + t.Error("Expected non-nil config") + } +} + +// TODO: Add more tests as functionality is implemented +EOF + +echo "✅ Created module $MODULE_NAME at $MODULE_DIR" +echo "📝 Next steps:" +echo " 1. Edit $MODULE_DIR/$MODULE_NAME.go to implement functionality" +echo " 2. Add comprehensive tests to $MODULE_DIR/${MODULE_NAME}_test.go" +echo " 3. Update go.mod if new dependencies are needed" +echo " 4. Run 'make test' to verify implementation" +echo " 5. Update MIGRATION_PLAN.md to track progress" \ No newline at end of file