{
  "id": "client_runtime_observability",
  "label": "Client Runtime Observability Canonical",
  "phase": "phase-14",
  "category": "fleet_monitoring_mirror_failover",
  "status": "ACTIVE_DH_MIRROR",
  "purpose": "Client Runtime Observability Canonical is the Phase 14 authority that watches YEFF AI v1 runtime behavior inside a dedicated client server without granting the LLM operational decision power.",
  "function": "Collect runtime-facing signals, service telemetry, log pointers, approval boundaries, anomaly markers and evidence references so the system can explain behavior while keeping execution decisions governed.",
  "technology_requirements": [
    {
      "technology": "Client Runtime Observability",
      "required_for": "Client Runtime Observability Canonical is the Phase 14 authority that watches YEFF AI v1 runtime behavior inside a dedicated client server without granting the LLM operational decision power.",
      "required_by_phase": "phase-14",
      "required_by_category": "client_runtime_observability",
      "required_by_buckets": [
        "Prerequisites",
        "Installation",
        "Configuration",
        "Validation",
        "Observable Evidence",
        "Failure Modes & Recovery",
        "Completion & Promotion"
      ],
      "expected_version": "MISSING until Client Runtime Observability is implemented and validated in the future Execution & Monitoring Panel",
      "validation_command": "MISSING until client_runtime_observability can prove scope, evidence, execution state and promotion decision",
      "evidence_path": "/home/yeff/public_html/devon/canon/execution/state/dh_sources/client_runtime_observability.json",
      "status_source": "Documentation Hub + future Execution & Monitoring Panel",
      "blocking_if_missing": true,
      "failure_impact": "If this gate fails, Devon can know the server is alive but not whether the YEFF AI runtime is behaving responsibly."
    }
  ],
  "depends_on": [],
  "used_by": [],
  "overview": {
    "summary": "Client Runtime Observability Canonical is the Phase 14 authority that watches YEFF AI v1 runtime behavior inside a dedicated client server without granting the LLM operational decision power.",
    "function": "FUNCTION: Collect runtime-facing signals, service telemetry, log pointers, approval boundaries, anomaly markers and evidence references so the system can explain behavior while keeping execution decisions governed.",
    "system_position": "This category owns runtime observation, not server liveness and not autonomous remediation. The exclusive risk here is opaque application behavior. Server health can be green while the YEFF AI runtime is degraded, looping, blocked on approval or producing incomplete evidence.",
    "failure_impact": "If this gate fails, Devon can know the server is alive but not whether the YEFF AI runtime is behaving responsibly."
  },
  "failure_impact": "If this gate fails, Devon can know the server is alive but not whether the YEFF AI runtime is behaving responsibly."
}