LangGraph research brief generator

Overview

This repository contains a LangGraph agent that generates a connected research brief on a single topic. The agent:

1. Uses an LLM to generate concise section headings for the brief.
2. For each heading, performs a Tavily web search to fetch relevant content.
3. Aggregates the sections into a single Markdown brief with a summary.

The agent is implemented in src/main.py and can be run from the command line.

Requirements

pip install -r requirements.txt

The following environment variables must be set:

• OPENAI_API_KEY – key for the OpenAI model used by LangChain.
• TAVILY_API_KEY – key for the Tavily API.

Usage

# Default demo – generates a brief on "Artificial Intelligence"
python -m src.main

# Custom topic
python -m src.main "Quantum Computing"

The script prints the generated brief in Markdown format.