# Research Brief LangGraph Agent

## What it does
This repository contains a **LangGraph** agent that builds a short research brief for any given topic. The brief is produced in three stages:

1. **Outline** – the LLM generates 4‑5 concise bullet points.
2. **Research step** – each outline item triggers one web search via Tavily and produces a short note (5–8 sentences).
3. **Synthesize** – all notes are combined into a coherent brief with headings.

The agent is fully automated; running the script will print the outline, individual notes and the final brief.

## File structure
- `agent.py` – main implementation of the LangGraph graph.
- `requirements.txt` – Python dependencies.
- `README.md` – this documentation.

## Installation
```bash
pip install -r requirements.txt
```

Create a `.env` file in the project root with your Tavily API key:
```
TAVILY_API_KEY=your_key_here
JOURNAL_MCP_PAT=your_brojs_pat   # required for LLM access
```

## Usage
```bash
python agent.py
```
The script will run a demo with the default topic *"Как студенту безопасно подключать MCP к LangChain"*.

You can also import `BriefGraph` from `agent` and use it in your own code.