Evaluation-First • Optimization-Core • Multi-Framework • Orchestration-Ready
Universal GEPA optimizer for 7 major AI agent frameworks
pip install superoptixuv tool install superoptix
super --help✅ Includes by Default:
- DSPy - GEPA optimization engine
- MCP Client - Model Context Protocol for tool usage
- Super CLI - Conversational AI-powered CLI
- LiteLLM - Multi-provider LLM inference
- All Core Features - Ready to use out of the box!
Requirements: Python 3.11+
# OpenAI Agents SDK
pip install superoptix[frameworks-openai]
# Google ADK
pip install superoptix[frameworks-google]
# Microsoft Agent Framework
pip install superoptix[frameworks-microsoft]
# DeepAgents
pip install superoptix[frameworks-deepagents]
# Pydantic AI
pip install superoptix[frameworks-pydantic-ai]
# All frameworks (except CrewAI)
pip install superoptix[all]# CrewAI conflicts with DSPy - install separately
pip install superoptix
pip install crewai==1.2.0pip install superoptix[mcp]Full guide: docs/setup.md
| Resource | Description | Link |
|---|---|---|
| 📚 Documentation | Complete guides and API reference | superagenticai.github.io/superoptix |
| 🌐 Website | Learn about our vision and solutions | superoptix.ai |
| 📖 GitHub | Source code and project repository | @SuperagenticAI/superoptix |
| 📦 PyPI | Install via pip | superoptix |
| 🎯 GEPA Demo | Interactive GEPA optimization demonstrations | @SuperagenticAI/gepa-eval |
SuperOptiX collects anonymous usage data to help us understand how the tool is used and improve it. This data is anonymous and does not include any sensitive information like API keys, prompt content, or environment variables.
To disable telemetry, set the environment variable:
export SUPEROPTIX_TELEMETRY=falseThis project is licensed under the Apache License, Version 2.0. See the LICENCE file for details.