# LangGraph Agent with Conversation Memory and User Confirmation

## Installation

```bash
python -m venv .venv
source .venv/bin/activate   # on Windows use `.venv\Scripts\activate`
pip install -r requirements.txt
```

## Environment Variables

The agent uses the default OpenAI endpoint via `langchain`. If you want to override, set:

- `OPENAI_API_KEY` – your OpenAI API key.
- `OPENAI_BASE_URL` – custom base URL (e.g., for local Ollama).

## Running the Agent

```bash
python agent.py
```

The script starts with an empty conversation history. The graph will:
1. Retrieve memory (currently just echoes the existing history).
2. Invoke a placeholder agent that would normally process the conversation.
3. Prompt you to confirm each tool call via Rich console output.
4. Continue execution after confirmation.

## Extending

Replace `agent_node` with real LangChain logic, add tools, and integrate an actual LLM model as needed.