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+# Self-Reflective LangGraph Agent
+
+## Overview
+
+This repository contains a minimal example of a LangGraph agent that writes a short answer to a question, then uses a critic node to evaluate the answer.  
+If the critic flags the answer as `needs_revision`, a rewrite node improves the text.  
+The process repeats until the answer is accepted or the maximum number of rounds is reached.
+
+The agent is built on top of **deepagents** and uses **OpenRouter** via `langchain_openai`.
+
+## How to Run
+
+1. **Clone the repository**  
+   ```bash
+   git clone https://github.com/yourname/self_reflective_agent.git
+   cd self_reflective_agent
+   ```
+
+2. **Create a virtual environment**  
+   ```bash
+   python -m venv .venv
+   source .venv/bin/activate   # On Windows use .venv\\Scripts\\activate
+   ```
+
+3. **Install dependencies**  
+   ```bash
+   pip install -r requirements.txt
+   ```
+
+4. **Set your OpenRouter API key**  
+   ```bash
+   export OPENAI_API_KEY=sk-or-...
+   ```
+
+5. **Run the demo**  
+   ```bash
+   python main.py
+   ```
+
+   You should see the final answer printed to the console.
+
+## Project Structure
+
+- `main.py` - Main script that defines the graph, the DeepAgent, and runs the demo.
+- `requirements.txt` - Python dependencies.
+- `README.md` - This file.
+
+## Notes
+
+- The agent uses a fixed temperature of `0.0` for deterministic responses.
+- The maximum number of rewrite rounds is set to `2` by default.
+- All code uses only ASCII punctuation as required by the assignment.
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