Multi-Agent Research

A Streamlit app for running a multi-agent health science research workflow.

Features

• Configure and launch multi-agent LLM workflows for health science research
• Real-time progress and agent status display
• Downloadable markdown reports
• Trusted sources configuration
• Supports OpenAI and Ollama LLMs

Requirements

• Python 3.10+
• See requirements.txt for dependencies

Setup

1. Clone the repository:

   git clone <repo-url>
   cd multi-agent-research

2. Install dependencies:

   pip install -r requirements.txt

3. Create a .env file in the project root and add your API keys as needed:
   • For Tavily (required for web search):

     TAVILY_API_KEY=your_tavily_api_key_here

   • For OpenAI (required if you select OpenAI as LLM Type):

     OPENAI_API_KEY=your_openai_api_key_here

4. Run the app:

   streamlit run app.py

Usage

• Configure workflow parameters in the sidebar
• Start/stop the workflow and monitor progress
• Download generated reports from the UI

File Structure

• app.py — Main Streamlit app
• multi_agent_workflow.py — Workflow logic
• llm_factory.py — LLM integration
• docs/ — Generated reports

License

MIT License