Evaluation-First β’ Optimization-Core β’ Multi-Framework β’ Orchestration-Ready
Universal GEPA optimizer for 6 major AI agent frameworks
pip install superoptixuv tool install superoptix
super --helpβ 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]
# 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
Looking for a lightweight, MIT-licensed starter kit? Clone the companion repository that powers our OpenAI Agents SDK + GEPA tutorial:
git clone https://github.com/SuperagenticAI/superoptix-lite-openai.gitIncluded
- β
Minimal
superoptix_liteBaseComponent scaffolding to expose GEPA-compatible variables - β Native OpenAI Agents SDK integration tuned for Ollama (Code Reviewer pipeline + tests)
- β Baseline, optimization, and regression scripts that mirror the docs walkthrough
Unlock More with Full SuperOptiX
- π Universal GEPA optimizer with multi-framework compilers (DSPy, CrewAI*, Google ADK, Microsoft, DeepAgents)
- π RAG, memory, and SuperNetiX orchestration optimizers
- π
superCLI workflows, observability hooks, and enterprise guardrails
*CrewAI installs separately due to DSPy dependency differencesβsee install notes above.
When you're ready to graduate from Lite to full production, install the expanded stack:
pip install "superoptix[frameworks-openai]"Bring the optimized prompts, playbooks, and pipelines you prototype in Lite straight into SuperOptiX for end-to-end automation.
| Resource | Description | Link |
|---|---|---|
| π Website | Learn about our vision and solutions | superoptix.ai |
| π GitHub | Source code and project repository | @SuperagenticAI/superoptix-ai |
| πͺΆ SuperOptiX Lite | Open source OpenAI SDK + GEPA demo | @SuperagenticAI/superoptix-lite-openai |
| π¦ PyPI | Install via pip | superoptix |
| π― 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.