Skip to content

Latest commit

 

History

History
44 lines (29 loc) · 1.46 KB

README.md

File metadata and controls

44 lines (29 loc) · 1.46 KB

LangGraph + Pydantic AI

Consider giving this repo a ✨! Thanks!!!

Prerequisites

You need to have the following tools installed:

Environment Setup

1. Setup uv

# To setup uv
uv sync

2. Install Inferix (OpenAI compatible API)

Note: You can use any OpenAI compatible backend or simply use OpenAI itself.

  • Feel free to use any OpenAI compatible API.
  • Make sure you have Ollama installed.
  • Make sure you have pulled a model. I recommend Qwen 2.5 32B.
  • Use this guide to setup inferix to host a OpenAI compatible API capable of function calling.

3. Set the environment variables

  • Checkout the example dotenv file at .env.example.
  • Create a new .env using the example one as a template.
  • Replace the variables as necessary.

Run the app

We've got a few scripts in this project:

  1. uv run src/01_first_graph.py - Our first graph using LangGraph.
  2. uv run src/02-basic-read.py - Simple tool use in LangGraph (using LangChain).
  3. uv run src/03-basic-read-pydantic.py - Simple tool use in LangGraph (using Pydantic AI).
  4. uv run src/04-mixing-it-up.py - Mixing up LangChain and Pydantic AI within LangGraph.
  5. uv run src/05-final-graph.py - A complete agentic workflow made using Pydantic AI & LangGraph.