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🧩 SuperOpt Components

SuperOpt's optimization engine consists of five specialized components that work together to provide comprehensive environment optimization.

🎯 Component Overview

Each component targets a specific aspect of the agent environment, working together to create autonomous, self-improving AI agents.

🎯

SuperController

Role: Diagnostic meta-controller

Function: Analyzes execution traces and routes failures to appropriate optimizers

Target: Failure classification and routing

Rule-based diagnosis LLM-enhanced analysis Failure statistics
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📝

SuperPrompt

Role: Evolutionary prompt optimizer

Function: Improves system prompts using evolutionary algorithms

Target: Instructions, examples, and behavioral constraints

Evolutionary search Pareto optimization GEPA-inspired
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🔧

SuperReflexion

Role: Tool schema repair engine

Function: Fixes tool definitions when agents misuse tools

Target: Tool schemas, constraints, and documentation

Schema clarification Constraint addition Example generation
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🔍

SuperRAG

Role: Retrieval optimization engine

Function: Tunes retrieval parameters for better information access

Target: Search algorithms, chunking, and ranking

Parameter tuning Query optimization Adaptive strategies
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🧠

SuperMem

Role: Memory management system

Function: Manages learned patterns with decay and conflict resolution

Target: Knowledge persistence, freshness, and consistency

Exponential decay Conflict resolution Confidence tracking
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🔄 Component Interactions

graph TD
    SC[SuperController] --> SP[SuperPrompt]
    SC --> SR[SuperReflexion]
    SC --> SAG[SuperRAG]
    SC --> SM[SuperMem]

    SP --> ENV[Environment Update]
    SR --> ENV
    SAG --> ENV
    SM --> ENV

    ENV --> SC

    style SC fill:#fff3e0,stroke:#ff9800,stroke-width:3px
    style ENV fill:#e8f5e8,stroke:#4caf50,stroke-width:2px

🎯 Component Responsibilities

Component Failure Type Environment Target Optimization Method
SuperController All Types - Diagnosis & Routing
SuperPrompt PROMPT Prompts & Instructions Evolutionary Search
SuperReflexion TOOL Tool Schemas Schema Repair
SuperRAG RETRIEVAL Search & Ranking Parameter Tuning
SuperMem MEMORY Knowledge Base Decay & Resolution

🏗️ System Architecture

graph TB
    subgraph "SuperOpt Framework"
        subgraph "Outer Loop"
            SC[SuperController]
            subgraph "Specialized Optimizers"
                SP[SuperPrompt]
                SR[SuperReflexion]
                SAG[SuperRAG]
                SM[SuperMem]
            end
        end

        subgraph "Agent Environment Φ"
            P[Prompts]
            T[Tools]
            R[Retrieval]
            M[Memory]
        end
    end

    subgraph "Agent Execution"
        AE[Agent] --> TE[Task Execution]
        TE --> TR[Trace Generation]
    end

    TR --> SC
    SC --> SP
    SC --> SR
    SC --> SAG
    SC --> SM

    SP --> P
    SR --> T
    SAG --> R
    SM --> M

    P --> AE
    T --> AE
    R --> AE
    M --> AE

    style SC fill:#fff3e0,stroke:#ff9800,stroke-width:3px
    style AE fill:#e1f5fe,stroke:#0277bd,stroke-width:2px

📊 Component Workflow

  1. Failure Detection: SuperController analyzes execution traces
  2. Routing Decision: Routes failure to appropriate optimizer
  3. Optimization: Specialized component improves its environment aspect
  4. Environment Update: Changes are applied to agent environment
  5. Continuous Learning: Agent becomes better over time