trax/docs/research-readme.md

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# 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
```bash
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:
```bash
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](https://platform.openai.com/) and obtain your API key.
- Set your OPENAI_API_KEY environment variable.
```bash
export OPENAI_API_KEY='your-api-key-here'
```
4. Run the team of AI Agents
```bash
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