Vertical AI Agents Starter Template

Directory Structure

• All prototyping notebooks are in the prototypes directory.
• All final agents will live in in the src directory.

Getting Started

Prerequisites

1. Install uv Package Manager:

   pip install uv
   

Local Setup

To get startedfollow these steps:

1. Clone the repository:

   git clone https://github.com/...
   cd ...

2. Create a .env file:

Copy the .env.example file to .env and update the environment variables as needed:

cp .env.example .env

3. Run LangGraph Server:

a. Install uv package manager python pip install uv

b. Create Virtual Environment and activate it

uv venv
source .venv/bin/activate

c. Install packages in pyproject.toml

uv run

d. Run LangGraph Server

• Ensure you have docker engine running (i.e: Open Docker Desktop)

uv pip install langgraph-cli
uv run langgraph up

If you get any error in d step stop all containers, run docker system prune and try again.

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How To Use With Docker & Compose file

Step 01 : Clone This Repo

https://github.com/panaversity/langgraph-agents-template.git

Step 02 : Create Docker Image

• Install Docker Desktop

• Open Docker Desktop

• Run Below Command to create Docker Image & also Container up

docker compose up 

Or if we want to run in detach mode ( Background )

docker compose up -d 

Step 03 : Open Langgraph Studio

• Click Below Link to view your graph

Langgraph Studio URL

Step 04 : How We REflect your change in container

• Simply Down Your Container

docker compose down

• Then again up your container

docker compose up -d

• It's reflect your local changes in Container & Graph

Step 05 : Change model from OPENAI to GOOGLE GEMINI (OPTIONAL)

• in configration.py file change the below 26 number line:

 default="openai/gpt-4o",

To

default="google_genai/gemini-1.5-flash",