feat: solution for 'Экзамен: Самокорректирующийся агент'

README.md

@@ -1,65 +1,35 @@
-# LangGraph Reflection Demo
+# LangGraph Agent Implementation
 
-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.
+This repository contains a minimal implementation of a LangGraph agent using the `langgraph` library. The agent demonstrates how to:
 
-## 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).
+- Define a state dataclass for graph data.
+- Create a simple graph with nodes and edges.
+- Execute the graph and retrieve the final state.
 
 ## Requirements
 
-- Python 3.10+
-- `langgraph`
-- `langchain-openai`
+- `langgraph==0.0.38`
 
-Install dependencies:
+Install the dependencies with:
 
 ```bash
 pip install -r requirements.txt
 ```
 
-## Usage
+## Running the Agent
 
-1. **Set your OpenAI API key**:
+Execute the agent directly:
 
 ```bash
-export OPENAI_API_KEY="your_api_key_here"
+python langgraph_agent.py
 ```
 
-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
+You should see output similar to:
 
 ```
-src/
-├── main.py      # CLI entry point
-├── graph.py     # LangGraph definition
-└── nodes.py     # Node implementations
-requirements.txt
-README.md
+Final state messages: ['Hello from LangGraph!']
 ```
 
-## License
+## Extending the Agent
 
-MIT License
+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.