feat: surface Orchestrator operation context in Lab reports

README.md

@@ -128,7 +128,7 @@ The Lab decision surface now also exposes `policy_version`, `triggered_rules`, a
 `agent-runtime-report` is an additive reliable edge agent runtime report path.
 It bundles Orchestrator scheduling evidence and AIGuard runtime reliability `guard_analysis` into a Lab-owned agent deployment decision context without changing existing Runtime result or compare contracts.
 The current bundled evidence is a synthetic/dummy sustained high-load 3-agent scenario.
-The report preserves sustained queue-depth, policy decision reason, and `sustained_overload_risk` evidence as local-first deployment review context.
+The report preserves sustained queue-depth, worker health, runtime event summary/timeline, policy decision reason, and `sustained_overload_risk` evidence as local-first deployment review context.
 
 ![InferEdge Local Studio demo evidence](assets/images/local-studio-demo-evidence.png)
 

docs/portfolio/agent_runtime_reliability_report.md

@@ -57,6 +57,23 @@ AIGuard `guard_analysis` also includes `sustained_overload_risk`, which Lab
 preserves as report evidence and reflects in the agent deployment decision
 context.
 
+The report also preserves the Orchestrator operation-health fields added for
+runtime operation review:
+
+- `queue_state_summary` for queue pressure, max backlog, final queue depth, and
+  overload threshold.
+- `worker_health_snapshot` for healthy/constrained/degraded worker state,
+  executed/drop/deadline/fallback counts, and latency context.
+- `runtime_event_summary` for event type counts.
+- `runtime_event_timeline` sample rows for queue snapshots, policy decisions,
+  drops, and execution outcomes.
+
+These fields make the report path explicit:
+
+```text
+Orchestrator operation evidence -> AIGuard reliability explanation -> Lab-owned deployment risk context
+```
+
 ## Lab Decision Context
 
 Expected decision:
@@ -83,6 +100,7 @@ Triggered rules:
 ## Boundary
 
 - Orchestrator records scheduling and policy evidence.
+- Orchestrator operation-health fields are displayed as local runtime evidence.
 - AIGuard explains runtime reliability risk.
 - Lab remains the final deployment decision owner.
 - This report is an additive agent-runtime path and does not change existing

examples/agent_runtime/agent_3_orchestration_summary.json

@@ -97,6 +97,124 @@
       "protected_agent_id": "safety_monitor_agent"
     }
   ],
+  "queue_state_summary": {
+    "schema_version": "inferedge-orchestrator-queue-state-v1",
+    "sample_count": 1,
+    "overload_backlog_threshold": 3,
+    "max_total_queue_depth": 6,
+    "average_total_queue_depth": 6.0,
+    "final_queue_depth": {
+      "vision_agent": 4,
+      "voice_command_agent": 2,
+      "safety_monitor_agent": 0
+    },
+    "max_queue_depth_by_task": {
+      "vision_agent": 4,
+      "voice_command_agent": 2,
+      "safety_monitor_agent": 0
+    },
+    "queue_pressure_state": "overloaded"
+  },
+  "worker_health_snapshot": {
+    "schema_version": "inferedge-orchestrator-worker-health-v1",
+    "workers": {
+      "safety_monitor_agent": {
+        "task": "safety_monitor_agent",
+        "agent_id": "safety_monitor_agent",
+        "task_id": "task_safety_monitor_agent",
+        "agent_type": "safety",
+        "scheduled_priority": 100,
+        "latency_budget_ms": 20.0,
+        "worker": "dummy",
+        "health_state": "healthy",
+        "executed_count": 2,
+        "dropped_count": 0,
+        "deadline_missed_count": 0,
+        "fallback_count": 0,
+        "mean_latency_ms": 6.0,
+        "p95_latency_ms": 8.0,
+        "max_queue_backlog": 0,
+        "queue_size": 1,
+        "queue_pressure_ratio": 0.0
+      },
+      "vision_agent": {
+        "task": "vision_agent",
+        "agent_id": "vision_agent",
+        "task_id": "task_vision_agent",
+        "agent_type": "vision",
+        "scheduled_priority": 90,
+        "latency_budget_ms": 33.0,
+        "worker": "dummy",
+        "health_state": "degraded",
+        "executed_count": 8,
+        "dropped_count": 14,
+        "deadline_missed_count": 1,
+        "fallback_count": 14,
+        "mean_latency_ms": 41.0,
+        "p95_latency_ms": 41.0,
+        "max_queue_backlog": 4,
+        "queue_size": 4,
+        "queue_pressure_ratio": 1.0
+      },
+      "voice_command_agent": {
+        "task": "voice_command_agent",
+        "agent_id": "voice_command_agent",
+        "task_id": "task_voice_command_agent",
+        "agent_type": "voice",
+        "scheduled_priority": 50,
+        "latency_budget_ms": 120.0,
+        "worker": "dummy",
+        "health_state": "constrained",
+        "executed_count": 0,
+        "dropped_count": 0,
+        "deadline_missed_count": 0,
+        "fallback_count": 0,
+        "mean_latency_ms": null,
+        "p95_latency_ms": null,
+        "max_queue_backlog": 2,
+        "queue_size": 2,
+        "queue_pressure_ratio": 1.0
+      }
+    }
+  },
+  "runtime_event_summary": {
+    "schema_version": "inferedge-orchestrator-runtime-event-summary-v1",
+    "event_count": 4,
+    "event_type_counts": {
+      "queue_snapshot": 1,
+      "policy_decision": 1,
+      "drop": 1,
+      "execution": 1
+    }
+  },
+  "runtime_event_timeline": [
+    {
+      "event_index": 0,
+      "event_type": "queue_snapshot",
+      "reason": "queue_depth_sampled"
+    },
+    {
+      "event_index": 1,
+      "event_type": "policy_decision",
+      "agent_id": "vision_agent",
+      "task_id": "task_vision_agent",
+      "reason": "queue_backlog_threshold_exceeded"
+    },
+    {
+      "event_index": 2,
+      "event_type": "drop",
+      "agent_id": "vision_agent",
+      "task_id": "task_vision_agent",
+      "reason": "load_shedding_backlog_threshold_exceeded"
+    },
+    {
+      "event_index": 3,
+      "event_type": "execution",
+      "agent_id": "vision_agent",
+      "task_id": "task_vision_agent",
+      "reason": "deadline_missed"
+    }
+  ],
   "drop_events": [
     {
       "agent_id": "vision_agent",