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SUPEROPTIX AI
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SUPEROPTIX AI
🏠 Home
🚀 Get Started
🚀 Get Started
📖 Introduction
🚀 Quick Start
⭐ Golden Workflow
🌐 Multi-Framework Quick Start
⚙️ Setup & Installation
🛠️ Troubleshooting by Symptom
🧠 LLM Setup
🏗️ Environment Setup
📁 Project Structure
🎓 Tutorials
🎓 Tutorials
📚 Tutorials Overview
🔧 OpenAI SDK + GEPA Optimization
🔬 Frameworks
🔬 Frameworks
📚 Frameworks Overview
🌐 Comparison
📊 Feature Matrix
🤖 OpenAI SDK
🧠 Claude Agent SDK
🐍 Pydantic AI
🐍 Pydantic AI MCP Demo
👥 CrewAI
⚡ CrewAI Advanced
🔮 Google ADK
🏢 Microsoft (Legacy)
🌊 DeepAgents
📝 SuperSpec
📝 SuperSpec
📝 SuperSpec Overview
📗 DSL Reference
📙 DSL Examples
🏗️ Agent Building
⚙️ Configuration
🧠 Context Engineering
🛠️ Build
🛠️ Build
🎨 Agent Patterns
🔍 Agent Discovery
🤖 Agent Development
🔧 Tool Development
🏛️ Technical Architecture
🤝 A2A
🤝 A2A
🤝 Introduction
📘 A2A Guide
🧭 Integration Checklist
🧪 A2A Demo Guide
Evaluate
Evaluate
Evaluation & Testing
🎭 RSpec-Style BDD Testing
🎯 Agent Optimization
🎯 Agent Optimization
📖 Overview
💬 Prompt Optimization
🔍 RAG Optimization
🛠️ Tool Optimization
🧠 Memory Optimization
🔌 Protocol Optimization (MCP)
📊 Dataset-Driven Optimization
🎯 Full-Stack Example
⚡ Optimize
⚡ Optimize
🧬 GEPA Optimizer
📈 Optimization Guide
🔬 DSPy Optimizers
🔧 OpenAI SDK + GEPA Optimization
🔍 RAG Optimization
🔌 MCP Optimization
💡 Memory Optimization
🧪 RLM
🧪 RLM
🧪 RLM Overview (Experimental)
🎼 Orchestrate
🎼 Orchestrate
🎼 Orchestra Development
🎼 Multi-Agent Orchestra
📊 Monitor
📊 Monitor
📊 Observability Overview
🧿 MLFlow
🧬 LangFuse
🔥 LogFire
📈 Weights & Biases
⚖️ Comparison
🚀 Enhanced
🗄️ Context
🗄️ Context
🔍 RAG & MCP Guide
📚 RAG Configuration
🔌 MCP Protocol
📊 Dataset Import
🧠 Memory Systems
🧩 TurboAgents
🧩 TurboAgents
Overview
Chroma
LanceDB
SurrealDB
🔌 Integrations
🔌 Integrations
⚡ Optimas
⚡ Optimas Guide
🗂️ StackOne Integration
🗂️ StackOne + Claude SDK
🔰 Weaviate
🔸 Qdrant
👁️ Milvus
🛠️ Tools
🧠 Memory
📊 Observability
🛰️ Arize Phoenix
🧿 MLFlow
🧬 LangFuse
🚀 GEPA
💻 CLI
💻 CLI
📘 CLI Complete Guide
📖 CLI Reference
✨ Super CLI (Beta)
✨ Super CLI (Beta)
💬 Overview
🔧 Technical Details
🤖 Models
🤖 Models
🧠 Model Management
💡 Model Intelligence
💻 Local Inference
💻 Local Inference
💻 MLX (Apple Silicon)
🐼 Ollama
🤗 HuggingFace
🎛️ LM Studio
☁️ Cloud
☁️ Cloud
☁️ Cloud Inference (OpenAI, Anthropic, Google)
🚀 vLLM (High-Performance Serving)
⚡ SGLang (Structured Generation)
📚 Examples
📚 Examples
📚 Examples Overview
⚡ Optimas
Chroma
LanceDB
🔰 Weaviate
🔸 Qdrant
👁️ Milvus
SurrealDB
🛠️ Tools
🧠 Memory
📊 Observability
🛰️ Arize Phoenix
🧿 MLFlow
🧬 LangFuse
📈 Weights & Biases
🚀 GEPA
🎯 Techniques
🎯 Techniques
🎯 Overview
🧠 Memory Systems
💡 Memory Optimization
📚 RAG Configuration
📈 Optimization Guide
Evaluation & Testing
📊 Observability Overview
🎭 RSpec-Style BDD Testing
🔄 CI/CD Integration
🚂 Rails Analogy (For Rails Devs)
🛍️ Marketplace
🛍️ Marketplace
🛍️ Marketplace Overview
Responsible AI
Responsible AI
Responsible AI Guide
🏢 Company
🏢 Company
🌟 Superagentic AI
📖 Reference
📖 Reference
📚 Overview
🔧 API Reference
🔧 API Reference
API Overview
📝 SuperSpec API
🧬 GEPA API
🔬 DSPy Optimizers API
🏃 Runners API
🧠 Memory API
🤖 Models API
🔧 Tools API
📊 Observability API
💻 CLI API
🔧 Core API
❓ FAQ
🐛 Debugging
Code of Conduct
See the project root document for the current Code of Conduct:
../CODE_OF_CONDUCT.md
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