narintel

🌐 Universal Multi-Backend Router

RISE Specification for ava-langflow/agentic_flywheel

Version: 1.0
Last Updated: 2025-12-31
Package: ava-langflow-universal-router
Location: /workspace/ava-langflow/

1. Creative Intent

What This Application Enables Users to Create

The Universal Multi-Backend Router enables creators to:

Process events through three universe lenses - Engineer, Ceremony, Story interpretations simultaneously
Route to optimal backend - Flowise, Langflow, or future backends by narrative context
Abstract backend complexity - Single interface regardless of execution engine
Coordinate three-universe responses - Unified output from diverse perspectives
Enable graceful degradation - Continue operating when one universe fails

Desired Outcomes

Outcome	Description	Measurement
Three-Universe Processing	Every event interpreted 3 ways	All 3 perspectives logged
Optimal Backend Selection	Right engine for right task	Performance metrics
Unified Interface	Caller doesn’t know which backend	API consistency
Graceful Degradation	Partial failures don’t cascade	Availability %

2. The Three-Universe Model

Universe Definitions

## Data
### Universe (Enum)
Three interpretive lenses for every event.
- **ENGINEER**: Technical precision, schema validation, API correctness (Mia)
- **CEREMONY**: Relational protocols, sacred pause, K'é accountability (Ava8)
- **STORY_ENGINE**: Narrative function, arc position, plot coherence (Miette)

### UniversePerspective
One universe's interpretation of an event.
- **universe**: Which universe interpreted
- **intent_detected**: What this universe sees as the intent
- **suggested_actions**: What this universe recommends
- **priority_score**: How important this universe's view is (0.0-1.0)
- **context**: Universe-specific metadata

### ThreeUniverseAnalysis
Combined analysis from all three universes.
- **engineer_perspective**: UniversePerspective from Engineer World
- **ceremony_perspective**: UniversePerspective from Ceremony World
- **story_perspective**: UniversePerspective from Story Engine
- **leading_universe**: Which should drive the response
- **consensus_actions**: Actions all universes agree on
- **conflicts**: Where universes disagree (structural tension)
- **synthesis**: Unified recommended approach

Universe Interpretation Examples

## Screens
### Three-Universe Event Processing

**Input Event**: "Handle issue #110: Live Story Monitor feature request"

**Engineer World (Mia) Sees**:
- Intent: FEATURE_REQUEST
- Actions: Create spec, design API, estimate complexity
- Route to: tech_analyzer, spec_writer, api_designer flows
- Priority: 0.7 (technical precision needed)

**Ceremony World (Ava8) Sees**:
- Intent: CO_CREATION invitation
- Actions: Acknowledge contributor, sacred pause, assess K'é obligations
- Route to: relational_auditor, sacred_pause (if new contributor)
- Priority: 0.9 (relationship must be honored first)

**Story Engine World (Miette) Sees**:
- Intent: INCITING_INCIDENT (new thread entering narrative)
- Actions: Assess narrative position, thread into ongoing story
- Route to: narrative_analyzer, arc_tracker flows
- Priority: 0.6 (story context enriches response)

**Synthesis**:
- Leading Universe: CEREMONY (contributor relationship primary)
- Consensus: Acknowledge, analyze, respond
- Conflict: Engineer wants immediate specs; Ceremony wants pause
- Resolution: Sacred pause, THEN technical analysis

3. Components

Component 1: Three-Universe Handler

### ThreeUniverseHandler
Processes every event through all three interpretive lenses.

- **Behavior:**
  - Receives raw event (query, webhook, message)
  - Spawns parallel interpretation in each universe
  - Collects perspectives with timeouts
  - Synthesizes unified analysis
  - Determines leading universe
  - Handles partial failures gracefully

- **Processing Flow:**

Event → [Engineer | Ceremony | Story] (parallel) → Collect Perspectives → Detect Conflicts → Synthesize → Route

- **Methods:**
  - `process_event(event)`: Full three-universe analysis
  - `interpret_engineer(event)`: Technical lens only
  - `interpret_ceremony(event)`: Relational lens only
  - `interpret_story(event)`: Narrative lens only
  - `synthesize(perspectives)`: Combine into unified view
  - `determine_leader(analysis)`: Which universe drives response

- **Graceful Degradation:**
  - If CEREMONY times out: Log warning, continue with ENGINEER + STORY
  - If STORY fails: Log warning, continue with ENGINEER + CEREMONY
  - If ENGINEER fails: Log error, CEREMONY determines if safe to proceed
  - If ALL fail: Return error with partial context available

Creative Advancement Scenario: New Contributor Issue

**Desired Outcome**: Welcome new contributor while addressing their request
**Current Reality**: Issue #110 from unknown GitHub user
**Natural Progression**:
  1. Handler detects new contributor (Ceremony universe)
  2. Ceremony triggers sacred pause (respect first-time interaction)
  3. Engineer analyzes technical request
  4. Story threads as "new protagonist"
  5. Synthesis: Warm welcome + helpful technical response
**Achieved Outcome**: Relationship honored AND request addressed

Component 2: Backend Abstraction Layer

### UniversalBackendClient
Single interface for multiple execution backends.

- **Behavior:**
  - Provides unified API regardless of backend
  - Automatically selects optimal backend per task
  - Handles backend-specific configurations
  - Manages connection pooling and health checks

- **Supported Backends:**
  - `flowise`: Flowise flow execution
  - `langflow`: Langflow flow execution  
  - `langgraph`: Direct LangGraph execution
  - `custom`: Extensible for future backends

- **Methods:**
  - `execute(flow_id, input, backend_hint)`: Run flow on best backend
  - `get_available_backends()`: List healthy backends
  - `get_backend_capabilities(backend)`: What each can do
  - `health_check(backend)`: Backend status

- **Selection Criteria:**

IF flow_type == “narrative_analysis”: prefer: langgraph (native NCP support) IF flow_type == “visual_flow”: prefer: langflow (better visual builder) IF flow_type == “chatflow”: prefer: flowise (optimized for chat) IF performance_critical: prefer: backend with lowest latency

Component 3: Narrative-Aware Router

### NarrativeAwareRouter
Routes requests based on NCP context + three-universe analysis.

- **Behavior:**
  - Uses ThreeUniverseAnalysis to inform routing
  - Considers narrative position from Story universe
  - Respects relational obligations from Ceremony universe
  - Optimizes for technical correctness from Engineer universe
  - Selects backend + flow combination

- **Routing Logic:**

Determine leading universe
Get recommended actions from leader
Filter by consensus (if available)
Select flows from registry
Choose backend per flow requirements
Order by priority ```

Methods:
- route(analysis, session): Full routing decision
- select_flows_by_universe(universe, analysis): Universe-specific selection
- resolve_conflicts(analysis): Handle universe disagreements
- apply_ceremony_constraints(flows): Add sacred pause if needed ```

Creative Advancement Scenario: Conflict Resolution

**Desired Outcome**: Handle Engineer vs Ceremony disagreement
**Current Reality**: Engineer wants speed; Ceremony wants pause
**Natural Progression**:
  1. Analysis shows conflict: priority_engineer=0.7 vs priority_ceremony=0.9
  2. Router sees Ceremony has higher priority
  3. Sacred pause inserted BEFORE technical flows
  4. Both universes satisfied in sequence
**Achieved Outcome**: Relationship honored, then efficiency achieved

Component 4: Three-Universe Logger

### ThreeUniverseLogger
Logs interpretations from all universes for observability.

- **Behavior:**
  - Records each universe's perspective
  - Tracks synthesis decisions
  - Logs conflicts and resolutions
  - Integrates with Langfuse tracing

- **Log Format:**
  ```json
  {
    "event_id": "evt_123",
    "timestamp": "2025-12-31T10:15:00Z",
    "perspectives": {
      "engineer": {"intent": "FEATURE_REQUEST", "priority": 0.7},
      "ceremony": {"intent": "CO_CREATION", "priority": 0.9},
      "story": {"intent": "INCITING_INCIDENT", "priority": 0.6}
    },
    "synthesis": {
      "leading_universe": "CEREMONY",
      "consensus_actions": ["acknowledge", "analyze"],
      "conflicts": ["timing"],
      "resolution": "pause_then_proceed"
    }
  }

Methods:
- log_analysis(analysis): Record full three-universe result
- log_conflict(conflict, resolution): Track disagreements
- log_synthesis(synthesis): Track final decisions ```

4. Ceremony World Protocols

K’é (Kinship) Protocol

### K'éProtocol
Relational accountability in every interaction.

- **Behavior:**
  - Tracks contributor relationships
  - Detects first-time interactions
  - Triggers appropriate acknowledgment
  - Maintains relational history

- **Triggers:**
  - New contributor → Welcome ceremony
  - Returning contributor → Acknowledge history
  - Community member → Full context awareness

- **Methods:**
  - `assess_relationship(contributor_id)`: Get relational context
  - `trigger_acknowledgment(relationship)`: Initiate ceremony
  - `record_interaction(contributor_id, interaction)`: Update history

Sacred Pause Protocol

### SacredPauseProtocol
Mandatory reflection before automated actions on sensitive events.

- **Behavior:**
  - Detects sensitive events (new contributors, emotional content, conflicts)
  - Inserts pause before automated processing
  - Allows human review if configured
  - Logs pause reason and duration

- **Triggers:**
  - First-time contributor issue
  - Issue mentions conflict keywords
  - PR from external contributor
  - High-stakes decision detected

- **Methods:**
  - `should_pause(event)`: Determine if pause needed
  - `execute_pause(event, duration)`: Perform pause
  - `log_pause(event, reason)`: Record for audit

5. Integration Patterns

Pattern 1: Full Three-Universe Processing

from universal_router import (
    ThreeUniverseHandler,
    NarrativeAwareRouter,
    UniversalBackendClient,
    ThreeUniverseLogger
)

handler = ThreeUniverseHandler()
router = NarrativeAwareRouter(registry="flow-registry.yaml")
backend = UniversalBackendClient()
logger = ThreeUniverseLogger(langfuse_client)

async def process_with_three_universes(event, session):
    # Get three-universe analysis
    analysis = await handler.process_event(event)
    
    # Log all perspectives
    logger.log_analysis(analysis)
    
    # Route based on synthesis
    flows = router.route(analysis, session)
    
    # Execute on appropriate backends
    results = []
    for flow in flows:
        result = await backend.execute(
            flow.flow_id, 
            flow.input,
            backend_hint=flow.preferred_backend
        )
        results.append(result)
    
    return combine_results(results)

Pattern 2: Trace Integration

from narrative_tracing import NarrativeTraceOrchestrator

orchestrator = NarrativeTraceOrchestrator()

async def traced_three_universe(event, trace_id):
    with orchestrator.create_child_span(trace_id, "THREE_UNIVERSE_ANALYSIS") as span:
        analysis = await handler.process_event(event)
        
        span.set_attribute("leading_universe", analysis.leading_universe.value)
        span.set_attribute("conflicts", len(analysis.conflicts))
        
        # Log each universe perspective as sub-span
        for universe, perspective in analysis.perspectives.items():
            with span.create_child(f"universe.{universe}") as uni_span:
                uni_span.set_attribute("intent", perspective.intent_detected)
                uni_span.set_attribute("priority", perspective.priority_score)
        
        return analysis

Pattern 3: Graceful Degradation

async def resilient_process(event):
    perspectives = {}
    errors = []
    
    # Attempt all three in parallel with timeouts
    tasks = [
        asyncio.wait_for(handler.interpret_engineer(event), timeout=5.0),
        asyncio.wait_for(handler.interpret_ceremony(event), timeout=5.0),
        asyncio.wait_for(handler.interpret_story(event), timeout=5.0),
    ]
    
    results = await asyncio.gather(*tasks, return_exceptions=True)
    
    for universe, result in zip(["engineer", "ceremony", "story"], results):
        if isinstance(result, Exception):
            errors.append((universe, result))
            logger.log_universe_failure(universe, result)
        else:
            perspectives[universe] = result
    
    # Proceed with available perspectives
    if len(perspectives) >= 1:
        return handler.synthesize(perspectives, partial=True)
    else:
        raise AllUniversesFailedError(errors)

6. Configuration

Three-Universe Config

# three-universe-config.yaml
universes:
  engineer:
    enabled: true
    timeout_ms: 5000
    retry_count: 2
    priority_weight: 1.0
    
  ceremony:
    enabled: true
    timeout_ms: 3000
    retry_count: 1
    priority_weight: 1.2  # Slightly higher for relational emphasis
    sacred_pause:
      enabled: true
      default_duration_ms: 2000
      
  story:
    enabled: true
    timeout_ms: 5000
    retry_count: 2
    priority_weight: 0.9

backends:
  flowise:
    base_url: "http://flowise:3000"
    api_key: "${FLOWISE_API_KEY}"
    health_check_interval_ms: 30000
    
  langflow:
    base_url: "http://langflow:7860"
    api_key: "${LANGFLOW_API_KEY}"
    health_check_interval_ms: 30000
    
  langgraph:
    direct: true  # Uses in-process execution

7. Quality Criteria

✅ Creating Focus

Enables unified responses from diverse perspectives
Creates synthesis, not elimination of disagreement

✅ Structural Dynamics

Three universes create natural structural tension
Resolution through synthesis, not suppression

✅ Advancing Patterns

Each event enriches understanding
Relational history accumulates

✅ Desired Outcomes

Clear deliverables: unified responses, logged perspectives
Measurable: availability %, synthesis success rate

8. Dependencies

Dependency	Purpose
`narrative-intelligence`	NCP state for Story universe
`agentic-flywheel`	Flow selection logic
`narrative-tracing`	Cross-system correlation
`flowise-client`	Flowise backend
`langflow-client`	Langflow backend

9. Integration with Other Specifications

Specification	Integration Point
`narrative-intelligence.langgraph`	Provides NCP analysis for Story universe
`narrative-tracing.langchain`	Receives/emits trace correlation
`agentic-flywheel.flowise`	Flow registry and execution

Generated following RISE Framework v1.2 - Specification is implementation-agnostic