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[EPIC] Next Phase Evolution: Verdict Autonomous AI Control Plane Production Readiness #262

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@mrnicholasbcarter-code

[EPIC] Next Phase Evolution: Verdict Autonomous AI Control Plane Production Readiness

Metadata

  • ID: EPIC-NEXT-STEPS
  • Title: Verdict Autonomous AI Control Plane Production Evolution
  • Epic: Master Control Plane Evolution
  • Priority: CRITICAL
  • Labels: epic, roadmap, control-plane, production-ready, v1.0-release

Product Vision & Goals

Evolve Verdict from core deterministic routing primitives into a fully operational Autonomous AI Control Plane.

Verdict coordinates and governs cognitive execution across external models, agents, and tools without vendor lock-in.


Child Issues & Dependency Map

Priority Issue ID Title Repository ADR Reference Status
P0 GOV-001 Repair Memory Bridge & Lifecycle Hook Matrix verdict-core ADR-004 #260
P0 MODEL-001 Model Qualification, Passport & Capacity verdict-core ADR-001 #256
P1 CONTEXT-001 ContextEnvelope Engine & Shared Hive Workspace verdict-core ADR-002 #257
P1 CONT-001 Execution Continuity Engine & State Failover verdict-core ADR-003 #258
P2 CLI-001 Pre-Execution Simulator & Interactive CLI verdict-core ADR-005 #261
P2 AUTO-001 12-Stage Autonomous Software Development Workflow verdict-core ADR-004 #259
P2 COCKPIT-001 Verdict Cockpit Visual UI Dashboard verdict-cockpit ADR-006 #8

Phase Execution Plan

Phase 1: Core Governance & Model Qualification (Sprint 1-2)

  • Repair verdict/memory_bridge.py import errors and wire 13 lifecycle hooks to core router.
  • Implement progressive model probes (ping -> capability) and emit signed ModelPassports.
  • Enforce hard code boundary preventing adaptive ranker learning from overriding eligibility floors.

Phase 2: Context Intelligence & Execution Continuity (Sprint 3-4)

  • Upgrade TaskSpec to ContextEnvelope aggregating OpenViking, RuVector, and Git provenance.
  • Build ExecutionSession engine with atomic checkpointing and seamless model failover.
  • Replace FakeRufloAdapter with production process/IPC transport adapter.

Phase 3: Developer Experience, Simulator & Workflows (Sprint 5-6)

  • Build CLI suite (verdict run, plan, inspect, models, replay, simulate).
  • Implement pre-execution token cost, risk score, and execution step forecaster.
  • Deliver 12-stage autonomous software development workflow plugin.

Phase 4: Control Plane UI & CI Automation (Sprint 7-8)

  • Wire verdict-cockpit React dashboard to REST/WebSocket execution telemetry.
  • Automate verify_gates.py proof-chain verification inside GitHub Actions CI.

Overall Acceptance Criteria

  • All 7 child issues implemented and verified.
  • 0 unhandled model alias executions in production.
  • Hard policy eligibility enforced ahead of all adaptive learning / intelligence calls.
  • verify_gates.py passes 100% in CI/CD pipeline.
  • End-to-end multi-agent execution survives simulated provider outage without context loss.

Key Supporting Documents

  • docs/CURRENT_STATE_RECONCILIATION.md
  • docs/ARCHITECTURE_GAP_ANALYSIS.md
  • docs/IMPLEMENTATION_ROADMAP.md
  • docs/adr/ADR-001-MODEL-INTELLIGENCE-PASSPORTS.md through ADR-006-COCKPIT-VISUAL-CONTROL-PLANE.md

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