LangGraph Agent Implementation

This repository contains a minimal implementation of a LangGraph agent using the langgraph library. The agent demonstrates how to:

• Define a state dataclass for graph data.
• Create a simple graph with nodes and edges.
• Execute the graph and retrieve the final state.

Requirements

• langgraph==0.0.38

Install the dependencies with:

pip install -r requirements.txt

Running the Agent

Execute the agent directly:

python langgraph_agent.py

You should see output similar to:

Final state messages: ['Hello from LangGraph!']

Extending the Agent

Feel free to add more nodes, incorporate LLM calls, or integrate with other frameworks such as LangChain. The current structure provides a solid foundation for building more complex conversational agents.