feat: solution for 'Повторный экзамен: Граф с рефлексией и доработкой'

README.md

@@ -0,0 +1,65 @@
+# LangGraph Reflection Demo
+
+This project demonstrates a simple LangGraph agent that:
+1. Generates a short answer (5–10 sentences) to a user‑supplied question.
+2. Critiques the answer for completeness, concreteness, and fluff.
+3. If the critique indicates `needs_revision`, rewrites the answer up to a maximum number of rounds.
+
+## Features
+
+- **Separate nodes** for drafting, reflecting, and rewriting.
+- **LLM‑based critic** that returns a verdict (`ok` or `needs_revision`) and 2–3 critique points.
+- **Controlled loop**: rewrites only if the verdict is `needs_revision` and the round count is below `max_rounds`.
+- **CLI interface**: pass a question via `-q` or input interactively.
+- **Configurable maximum rounds** via `-m` (default 2).
+
+## Requirements
+
+- Python 3.10+
+- `langgraph`
+- `langchain-openai`
+
+Install dependencies:
+
+```bash
+pip install -r requirements.txt
+```
+
+## Usage
+
+1. **Set your OpenAI API key**:
+
+```bash
+export OPENAI_API_KEY="your_api_key_here"
+```
+
+2. **Run the demo**:
+
+```bash
+python src/main.py -q "Explain the difference between a tool and a resource in MCP."
+```
+
+Or simply:
+
+```bash
+python src/main.py
+```
+
+and enter the question when prompted.
+
+The script will output the final answer, the number of rounds performed, the verdict, and the critique points.
+
+## Project Structure
+
+```
+src/
+├── main.py      # CLI entry point
+├── graph.py     # LangGraph definition
+└── nodes.py     # Node implementations
+requirements.txt
+README.md
+```
+
+## License
+
+MIT License