Adam v23 Adaptive Architecture VisualizationThis document visualizes the core architectural components of the Adam v23 "Adaptive System," illustrating how the React Frontend, API Layer, and Graph/Agent Engines interact.1. High-Level System ContextThis view shows the data flow from the user interface down to the core computational engines.graph TD
    User[User / Analyst] -->|Interacts| UI[React WebApp]
    UI -->|HTTP/WebSocket| API[FastAPI / Flask Gateway]
    
    subgraph "Core System Boundary"
        API -->|Dispatch| Orch[Async Orchestrator (v22)]
        Orch -->|Coordinates| GraphEngine[v23 Graph Engine]
        Orch -->|Manages| AgentSwarm[Agent Swarm]
        
        GraphEngine <-->|Read/Write| UKG[(Unified Knowledge Graph)]
        AgentSwarm <-->|Read/Write| UKG
        
        AgentSwarm -->|Utilizes| Tools[Tool Registry]
        Tools -->|Queries| External[External APIs / Web]
    end
    
    UKG -->|Persists| DB[(Neo4j / Vector Store)]
2. v23 Graph Engine Execution FlowThe v23 Engine moves away from linear chains to a cyclical, graph-based reasoning model. This diagram illustrates the "Think-Act-Verify" loop.stateDiagram-v2
    [*] --> InputAnalysis
    
    state "Neuro-Symbolic Planner" as Planner {
        InputAnalysis --> StrategyFormation
        StrategyFormation --> TaskDecomposition
    }
    
    Planner --> ExecutionLoop
    
    state "Execution Loop" as ExecutionLoop {
        state "Node Selection" as NodeSel
        state "Agent Execution" as AgentExec
        state "HIL / Auto Validation" as Validation
        
        [*] --> NodeSel
        NodeSel --> AgentExec : Select Best Agent
        AgentExec --> Validation : Output Result
        
        Validation --> NodeSel : Result Rejected (Retry/Refine)
        Validation --> [*] : Result Accepted
    }
    
    ExecutionLoop --> StateUpdate
    StateUpdate --> CyclicalCheck
    
    state "Unified Knowledge Graph" as UKG {
        StateUpdate --> UpdateNodes
        UpdateNodes --> ReRankEdges
    }
    
    CyclicalCheck --> Planner : Reasoning Incomplete
    CyclicalCheck --> OutputGeneration : Reasoning Complete
    
    OutputGeneration --> [*]
3. Agent Interaction PatternHow an individual agent processes a task within the asynchronous framework.sequenceDiagram
    participant Orch as Orchestrator
    participant Agent as v23 Agent
    participant LLM as LLM Engine
    participant Tools as Tool Manager
    participant KG as Knowledge Graph

    Orch->>Agent: execute_task(task_context)
    activate Agent
    
    Agent->>KG: query_relevant_context()
    KG-->>Agent: Context Data
    
    Agent->>LLM: generate_thought_process(prompt + context)
    LLM-->>Agent: Reason + Tool Call
    
    alt Tool Usage Required
        Agent->>Tools: execute_tool(tool_name, args)
        Tools-->>Agent: Tool Output (Data)
        Agent->>LLM: synthesize_result(tool_output)
        LLM-->>Agent: Final Answer
    else Pure Reasoning
        Agent->>LLM: finalize_response()
    end
    
    Agent->>KG: update_knowledge_node(result)
    Agent-->>Orch: TaskResult (Success/Failure)
    deactivate Agent
4. Frontend Monitoring ArchitectureHow the UI subscribes to the complex backend state.graph LR
    subgraph "Backend (Python)"
        Monitor[Capability Monitoring] -->|Emits Events| MsgBroker[Message Broker (RabbitMQ/Redis)]
    end
    
    subgraph "API Layer"
        MsgBroker -->|Subscribes| SocketHandler[WebSocket Handler]
    end
    
    subgraph "Frontend (React)"
        SocketHandler -->|Push JSON| ReactStore[Zustand/Context Store]
        ReactStore -->|Renders| LiveMonitor[System Health Component]
        ReactStore -->|Renders| AgentGraph[Agent Graph Visualizer]
    end