A sophisticated implementation leveraging the OpenAI Agents SDK to build powerful multi-agent workflows and autonomous systems.
This project utilizes the OpenAI Agents SDK, a lightweight yet powerful framework for creating and managing AI agents. Our implementation focuses on building scalable and efficient multi-agent systems that can handle complex tasks through coordinated agent interactions.
- Intelligent Agents: Custom-configured LLMs with specific instructions and capabilities
- Seamless Handoffs: Coordinated task transfers between specialized agents
- Built-in Safety: Implemented guardrails f 73E3 or input/output validation
- Advanced Tracing: Comprehensive tracking system for debugging and optimization
- Custom Tools: Extended functionality through specialized agent tools
Create a .env file with your gemini key
uv init hello_agent
cd hello_agent
uv add openai-agents python-dotenv
uv run main.py
Contributions are welcome! Please feel free to submit a Pull Request.
- Fork the repository
- Create your feature branch (
git checkout -b feature/AmazingFeature) - Commit your changes (
git commit -m 'Add some AmazingFeature') - Push to the branch (
git push origin feature/AmazingFeature) - Open a Pull Request
This project is licensed under the MIT License - see the LICENSE file for details.
https://openai.github.io/openai-agents-python/
https://openai.github.io/openai-agents-python/models/
https://ai.google.dev/gemini-api/docs/openai
