👌 IMPROVE: release system

Author: saqibameen

.releaserc.json

@@ -1,21 +1 @@
 # Changelog
-
-All notable changes to this project will be documented in this file.
-
-The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
-and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
-
-## [Unreleased]
-
-### Added
-- Initial Python SDK for Langbase API
-- Support for Pipes, Memories, Threads, Tools, and Workflows
-- Comprehensive type definitions and error handling
-- Streaming support for real-time responses
-- Memory and RAG functionality
-- Agent and workflow orchestration
-
-## [0.1.0] - 2024-01-01
-
-### Added
-- Initial release of the Langbase Python SDK

CHANGELOG.md

@@ -22,10 +22,18 @@ The following examples are for reference only. Prefer docs for the latest inform
 
 ## Installation
 
+Install Langbase SDK:
+
 ```bash
 pip install langbase
 ```
 
+Install dotenv:
+
+```bash
+pip install dotenv
+```
+
 ## Quick Start
 
 ### 1. Set up your API key
@@ -53,14 +61,14 @@ langbase_api_key = os.getenv("LANGBASE_API_KEY")
 llm_api_key = os.getenv("LLM_API_KEY")
 
 # Initialize the client
-lb = Langbase(api_key=langbase_api_key)
+langbase = Langbase(api_key=langbase_api_key)
 ```
 
 ### 3. Generate text
 
 ```python
 # Simple generation
-response = lb.agent.run(
+response = langbase.agent.run(
     input=[{"role": "user", "content": "Tell me about AI"}],
     model="openai:gpt-4.1-mini",
     api_key=llm_api_key,
@@ -148,10 +156,10 @@ runner.process()
 
 ```python
 # List all pipes
-pipes = lb.pipes.list()
+pipes = langbase.pipes.list()
 
 # Run a pipe
-response = lb.pipes.run(
+response = langbase.pipes.run(
     name="ai-agent",
     messages=[{"role": "user", "content": "Hello!"}],
     variables={"style": "friendly"},  # Optional variables
@@ -163,21 +171,21 @@ response = lb.pipes.run(
 
 ```python
 # Create a memory
-memory = lb.memories.create(
+memory = langbase.memories.create(
     name="product-docs",
     description="Product documentation",
 )
 
 # Upload documents
-lb.memories.documents.upload(
+langbase.memories.documents.upload(
     memory_name="product-docs",
     document_name="guide.pdf",
     document=open("guide.pdf", "rb"),
     content_type="application/pdf",
 )
 
 # Retrieve relevant context
-results = lb.memories.retrieve(
+results = langbase.memories.retrieve(
     query="How do I get started?",
     memory=[{"name": "product-docs"}],
     top_k=3,
@@ -188,7 +196,7 @@ results = lb.memories.retrieve(
 
 ```python
 # Run an agent with tools
-response = lb.agent.run(
+response = langbase.agent.run(
     model="openai:gpt-4",
     messages=[{"role": "user", "content": "Search for AI news"}],
     tools=[{"type": "function", "function": {...}}],
@@ -202,20 +210,20 @@ response = lb.agent.run(
 
 ```python
 # Chunk text for processing
-chunks = lb.chunker(
+chunks = langbase.chunker(
     content="Long text to split...",
     chunk_max_length=1024,
     chunk_overlap=256,
 )
 
 # Generate embeddings
-embeddings = lb.embed(
+embeddings = langbase.embed(
     chunks=["Text 1", "Text 2"],
     embedding_model="openai:text-embedding-3-small",
 )
 
 # Parse documents
-content = lb.parser(
+content = langbase.parser(
     document=open("document.pdf", "rb"),
     document_name="document.pdf",
     content_type="application/pdf",
@@ -224,22 +232,22 @@ content = lb.parser(
 
 ## Examples
 
-Explore the [examples](./examples) directory for complete working examples:
+Explore the [examples](https://github.com/LangbaseInc/langbase-python-sdk/tree/main/examples) directory for complete working examples:
 
-- [Generate text](./examples/pipes/pipes.run.py)
-- [Stream text with events](./examples/pipes/pipes.run.typed-stream.py)
-- [Work with memory](./examples/memory/)
-- [Agent with tools](./examples/agent/)
-- [Document processing](./examples/parser/)
-- [Workflow automation](./examples/workflow/)
+- [Generate text](https://github.com/LangbaseInc/langbase-python-sdk/tree/main/examples/agent/agent.run.py)
+- [Stream text](https://github.com/LangbaseInc/langbase-python-sdk/blob/main/examples/agent/agent.run.stream.py)
+- [Work with memory](https://github.com/LangbaseInc/langbase-python-sdk/tree/main/examples/memory/)
+- [Agent with tools](https://github.com/LangbaseInc/langbase-python-sdk/blob/main/examples/agent/agent.run.tool.py)
+- [Document processing](https://github.com/LangbaseInc/langbase-python-sdk/tree/main/examples/parser/)
+- [Workflow automation](https://github.com/LangbaseInc/langbase-python-sdk/tree/main/examples/workflow/)
 
 ## SDK Reference
 
 For detailed SDK documentation, visit [langbase.com/docs/sdk](https://langbase.com/docs/sdk).
 
 ## Contributing
 
-We welcome contributions! Please see our [Contributing Guide](CONTRIBUTING.md) for details.
+We welcome contributions! Please see our [Contributing Guide](https://github.com/LangbaseInc/langbase-python-sdk/tree/main/CONTRIBUTING.md) for details.
 
 ## Support
 
@@ -249,4 +257,4 @@ We welcome contributions! Please see our [Contributing Guide](CONTRIBUTING.md) f
 
 ## License
 
-This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
+See the [LICENSE](https://github.com/LangbaseInc/langbase-python-sdk/tree/main/LICENSE) file for details.

README.md

@@ -20,12 +20,12 @@ def main():
 
     if not langbase_api_key:
         print("❌ Missing LANGBASE_API_KEY in environment variables.")
-        print("Please set: export LANGBASE_API_KEY='your_langbase_api_key'")
+        print("Please set: LANGBASE_API_KEY='your_langbase_api_key' in .env file")
         exit(1)
 
     if not llm_api_key:
         print("❌ Missing LLM_API_KEY in environment variables.")
-        print("Please set: export LLM_API_KEY='your_llm_api_key'")
+        print("Please set: LLM_API_KEY='your_llm_api_key' in .env file")
         exit(1)
 
     # Initialize Langbase client

examples/agent/agent.run.py

@@ -20,7 +20,7 @@ def main():
 
     if not langbase_api_key:
         print("❌ Missing LANGBASE_API_KEY in environment variables.")
-        print("Please set: export LANGBASE_API_KEY='your_langbase_api_key'")
+        print("Please set: LANGBASE_API_KEY='your_langbase_api_key' in .env file")
         exit(1)
 
     # Initialize Langbase client

examples/agent/agent.run.stream.py

@@ -31,7 +31,7 @@ async def main():
 
     if not llm_api_key:
         print("❌ Missing LLM_API_KEY in environment variables.")
-        print("Please set: export LLM_API_KEY='your_llm_api_key'")
+        print("Please set: LLM_API_KEY='your_llm_api_key' in .env file")
         exit(1)
 
     # Initialize Langbase client and Workflow

examples/agent/agent.run.workflow.py

@@ -33,12 +33,12 @@ async def process_email(email_content: str):
 
     if not langbase_api_key:
         print("❌ Missing LANGBASE_API_KEY in environment variables.")
-        print("Please set: export LANGBASE_API_KEY='your_langbase_api_key'")
+        print("Please set: LANGBASE_API_KEY='your_langbase_api_key' in .env file")
         exit(1)
 
     if not llm_api_key:
         print("❌ Missing LLM_API_KEY in environment variables.")
-        print("Please set: export LLM_API_KEY='your_llm_api_key'")
+        print("Please set: LLM_API_KEY='your_llm_api_key' in .env file")
         exit(1)
 
     # Initialize Langbase

examples/workflow/email_processing.py

@@ -32,12 +32,12 @@ async def process_text(input_text: str):
 
     if not langbase_api_key:
         print("❌ Missing LANGBASE_API_KEY in environment variables.")
-        print("Please set: export LANGBASE_API_KEY='your_langbase_api_key'")
+        print("Please set: LANGBASE_API_KEY='your_langbase_api_key' in .env file")
         exit(1)
 
     if not llm_api_key:
         print("❌ Missing LLM_API_KEY in environment variables.")
-        print("Please set: export LLM_API_KEY='your_llm_api_key'")
+        print("Please set: LLM_API_KEY='your_llm_api_key' in .env file")
         exit(1)
 
     # Initialize Langbase

examples/workflow/summarization.py

@@ -63,7 +63,7 @@
 )
 from .workflow import TimeoutError, Workflow
 
-__version__ = "0.1.0"
+__version__ = "0.0.0"
 __author__ = "LangbaseInc"
 __description__ = "Python SDK for the Langbase API"
 

langbase/__init__.py

@@ -1,17 +1,16 @@
 [project]
 name = "langbase"
-version = "0.1.0"
+version = "0.0.0"
 description = "Python SDK for the Langbase API"
 readme = "README.md"
 license = {text = "Apache-2.0"}
 authors = [
-    { name = "Saqib", email = "[email protected]" },
-    { name = "Ankit", email = "[email protected]" },
+    { name = "Saqib Ameen", email = "[email protected]" },
+    { name = "Ankit Kumar", email = "[email protected]" },
 ]
 requires-python = ">=3.7"
-keywords = ["ai", "langbase", "agent", "memory", "rag", "mcp", "pipes", "workflow"]
+keywords = ["ai", "langbase", "agent", "memory", "rag", "mcp", "pipes", "workflow", "llms"]
 classifiers = [
-    "Development Status :: 4 - Beta",
     "Intended Audience :: Developers",
     "License :: OSI Approved :: Apache Software License",
     "Operating System :: OS Independent",