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# 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:
```bash
pip install -r requirements.txt
```
## Running the Agent
Execute the agent directly:
```bash
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.