Research Brief Agent

Description

A standalone LangGraph based agent that generates a concise research brief for a given topic. The workflow:

1. Generates a 4–5 point outline for the topic.
2. For each outline point performs a single web search using Tavily and records a 5–8 sentence note.
3. Synthesizes all notes into a coherent brief with headings.
4. Outputs the outline, step notes, and final brief to the console.

The agent is fully configurable via environment variables.

Environment Variables

Create a .env file in the project root:

TAVILY_API_KEY=your_tavily_api_key
OPENAI_API_KEY=your_openai_api_key

For local LLMs (e.g., Ollama) replace ChatOpenAI with the appropriate client and provide base_url and api_key.

Installation

# Create virtual environment
python -m venv .venv
source .venv/bin/activate   # On Windows use .venv\Scripts\activate

# Install dependencies
pip install -r requirements.txt

Usage

python agent.py "Your topic here"

If no topic is provided, the default Artificial Intelligence will be used.

The script prints:

• Outline
• Step notes
• Final brief

Dependencies

• langgraph
• langchain-openai
• langchain-tavily
• tavily-python
• python-dotenv

All are pinned to the latest stable ranges in requirements.txt.