# 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

```bash
# 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

```bash
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`.