superoptix 0.2.17

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

SuperOptiX AI

Full Stack Agentic AI Optimization Framework

Evaluation-first workflow, framework-native pipelines, and GEPA optimization.

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Quick Install

Recommended CLI install with uv

uv tool install superoptix
super --help

Add framework dependencies in the same tool environment

# OpenAI Agents SDK
uv tool install superoptix --with "superoptix[frameworks-openai]"

# Claude Agent SDK
uv tool install superoptix --with "superoptix[frameworks-claude-sdk]"

# Google ADK
uv tool install superoptix --with "superoptix[frameworks-google]"

# Pydantic AI
uv tool install superoptix --with "superoptix[frameworks-pydantic-ai]"

# DeepAgents
uv tool install superoptix --with "superoptix[frameworks-deepagents]"

# Microsoft Agent Framework (legacy support)
uv tool install superoptix --with "superoptix[frameworks-microsoft]"

# CrewAI (see note below)
uv tool install superoptix --with "superoptix[frameworks-crewai]"

CrewAI and DSPy have dependency constraints that may require separate environments in some setups.

Alternative with pip

pip install superoptix

Requirements: Python 3.11+

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Framework Support

SuperOptiX supports compiling and running agents across:

• DSPy
• OpenAI Agents SDK
• Claude Agent SDK
• Pydantic AI
• CrewAI
• Google ADK
• DeepAgents
• Microsoft Agent Framework (legacy support)

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Core Workflow

# Pull
super agent pull developer

# Compile minimal pipeline
super agent compile developer --framework dspy

# Run
super agent run developer --framework dspy --goal "Design a migration strategy"

# Optional optimization path
super agent compile developer --framework dspy --optimize
super agent optimize developer --framework dspy --auto light

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Featured Capabilities

• RLM support (experimental)
• StackOne connector integrations for SaaS tools
• GEPA optimization flow across frameworks
• Minimal runtime pipelines by default with optional optimization lifecycle

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Documentation

• Docs home: https://superagenticai.github.io/superoptix/
• Golden workflow: https://superagenticai.github.io/superoptix/guides/golden-workflow/
• Framework feature matrix: https://superagenticai.github.io/superoptix/guides/framework-feature-matrix/
• StackOne integration: https://superagenticai.github.io/superoptix/guides/stackone-integration/
• RLM (experimental): https://superagenticai.github.io/superoptix/guides/rlm-experimental/
• Troubleshooting by symptom: https://superagenticai.github.io/superoptix/guides/troubleshooting-by-symptom/

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SuperOptiX Lite (Companion Repo)

For a lightweight, MIT-licensed starter kit focused on OpenAI Agents SDK + GEPA:

git clone https://github.com/SuperagenticAI/superoptix-lite-openai.git

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Support

• Website: https://superoptix.ai
• GitHub: https://github.com/SuperagenticAI/superoptix
• PyPI: https://pypi.org/project/superoptix/

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Telemetry

SuperOptiX collects anonymous usage data to improve the tool.

To disable telemetry:

export SUPEROPTIX_TELEMETRY=false

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License

Apache License 2.0. See LICENCE.