opeani_research_agent

OpenAI Researcher Agent

A multi-agent research application built with OpenAI's Agents SDK and Streamlit. This application enables users to conduct comprehensive research on any topic by leveraging multiple specialized AI agents.

Features

• Multi-Agent Architecture:

  • Triage Agent: Plans the research approach and coordinates the workflow
  • Research Agent: Searches the web and gathers relevant information
  • Editor Agent: Compiles collected facts into a comprehensive report

• Automatic Fact Collection: Captures important facts from research with source attribution

• Structured Report Generation: Creates well-organized reports with titles, outlines, and source citations

• Interactive UI: Built with Streamlit for easy research topic input and results viewing

• Tracing and Monitoring: Integrated tracing for the entire research workflow

How to get Started?

1. Clone the GitHub repository

git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git
cd awesome-llm-apps/ai_agent_tutorials/openai_researcher_agent

2. Install the required dependencies:

cd awesome-llm-apps/ai_agent_tutorials/openai_researcher_agent
pip install -r requirements.txt

3. Get your OpenAI API Key

• • Sign up for an OpenAI account and obtain your API key.
• Set your OPENAI_API_KEY environment variable.

export OPENAI_API_KEY='your-api-key-here'

4. Run the team of AI Agents

streamlit run openai_researcher_agent.py

Then open your browser and navigate to the URL shown in the terminal (typically http://localhost:8501).

Research Process:

• Enter a research topic in the sidebar or select one of the provided examples
• Click "Start Research" to begin the process
• View the research process in real-time on the "Research Process" tab
• Once complete, switch to the "Report" tab to view and download the generated report