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+# 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.
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