Skip to main content

Full Stack Agentic AI Optimization Framework - Universal GEPA optimizer for 6 major frameworks

Project description

🚀 SuperOptiX AI

Full Stack Agentic AI Optimization Framework

Evaluation-First • Optimization-Core • Multi-Framework • Orchestration-Ready

Universal GEPA optimizer for 6 major AI agent frameworks


🎯 Quick Install

Simple Install (Recommended)

pip install superoptix

✅ 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+


Additional Frameworks (Optional)

# 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 (Separate Install)

# CrewAI conflicts with DSPy - install separately
pip install superoptix
pip install crewai==1.2.0

With MCP Optimization

pip install superoptix[mcp]

Full guide: docs/setup.md


📚 Learn More

Resource Description Link
🌐 Website Learn about our vision and solutions superoptix.ai
📖 GitHub Source code and project repository @SuperagenticAI/superoptix-ai
📦 PyPI Install via pip superoptix
🎯 GEPA Demo Interactive GEPA optimization demonstrations @SuperagenticAI/gepa-eval

🆘 Support


📄 License

This project is licensed under a proprietary license. For licensing inquiries, contact licensing@super-agentic.ai.


🚀 Ready to Build the Future?

Start with SuperOptiX • Read the Docs • Join the Revolution

Powered by DSPy. Refined by Superagentic AI.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

superoptix-0.1.6-py3-none-any.whl (1.4 MB view details)

Uploaded Python 3

File details

Details for the file superoptix-0.1.6-py3-none-any.whl.

File metadata

  • Download URL: superoptix-0.1.6-py3-none-any.whl
  • Upload date:
  • Size: 1.4 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.11

File hashes

Hashes for superoptix-0.1.6-py3-none-any.whl
Algorithm Hash digest
SHA256 89b34911b4bf2c103ece6a0a647659754d0b32957eab73e7934bd9d55f17bcb9
MD5 b8215c2558dd27096bf05149d091c148
BLAKE2b-256 26cf646dff99640c309c5c174479177c9bb09173b2ac1db8ce86f64a3d5319f4

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page