povtornyy-ekzamen-2-graf-s-refleksiey-na/README.md

LangGraph Reflection Example

This repository demonstrates a simple LangGraph workflow that performs reflection on a Python function's source code. The graph consists of three nodes:

1. start_node – Initializes the graph state.
2. reflect_node – Uses Python's inspect module to retrieve the source code of target_function.
3. end_node – Prints the reflected source code.

Requirements

• Python 3.x
• langchain_openai
• langchain_core
• langgraph

Install the dependencies with:

pip install -r requirements.txt

Running the Example

python src/main.py

You should see the source code of target_function printed to the console.

Project Structure

├── requirements.txt
├── src
│   ├── __init__.py
│   └── main.py
└── README.md

No JavaScript code is included; the entire project is implemented in Python using the LangGraph framework.