Raahat Scenario Harness

Curated conversation replay against the real runtime with stepwise diagnostics, readable deltas, and deterministic checks.

Resume Active Workflow

continuity_resume_active_workflow · continuity · 2/2 turns executed

Scenario Summary

IDcontinuity_resume_active_workflow
TitleResume Active Workflow
Categorycontinuity
Turns2/2
Run Statecompleted
resume transport multi_turn

Seed State

UserUnknown user
Phone919900000403
Seed Workflowtransport
Seed State Machine

Current Runtime State

Routeconcierge
Workflowconcierge
State Machine
Stagecompleted

Checks And Lifecycle

Expectations Passed1
Expectations Failed1
Heuristic Warnings1
Sticky continuation Stage advanced Route changed
Final assessmentLikely follow-up needed: at least one explicit check failed during this run.

Final Outcome

Completed

Completed vs partial run state.

Final Route

concierge

Current route at the end of the replay.

Final Workflow / State

concierge

Workflow preferred; state machine shown if no workflow is active.

Final Stage

completed

Resolved from workflow progress or active snapshot.

Expectation Totals

Pass 1 Fail 1

Heuristic Totals

Warnings 1

Missing Fields

No unresolved workflow fields.

Lifecycle Events Seen

Sticky continuation Stage advanced Route changed
Turn 1
transport transport route_defined active_workflow_snapshot follow_up active_workflow_snapshot
Sticky continuation New slots filled Memory updated Stayed on transport
PASS
User
Tomorrow morning
Assistant
Got it. I can help with transport. How many cats is this for?

What Changed This Turn

  • Active workflow remained transport.
  • New slot filled: last_question_key=pet_count.
  • New slot filled: raw_date_text=tomorrow.
  • New slot filled: raw_time_text=morning.
  • New slot filled: request_kind=booking.
  • New slot filled: time_window=morning.
  • New slot filled: travel_date=2026-03-17.
  • New slot filled: trip_kind=unknown.
  • New slot filled: urgency_class=soon.
  • Memory updated with area.
  • Memory updated with date_phrase.
  • Memory updated with drop_area.
  • Memory updated with last_non_medical_domain.
  • Memory updated with pickup_area.
  • Memory updated with time_text.
  • Memory updated with time_window.
  • Memory updated with transport_urgency.
  • Memory updated with travel_date.
  • Memory updated with trip_kind.
  • Snapshot version incremented to 2.

Expectation And Heuristic Results

Expectations
PASS: workflow_name matched expected value 'transport'
Routing And Interpretation
{
  "confidence": 0.89,
  "reason_codes": [
    "active_workflow_snapshot",
    "follow_up",
    "active_workflow_snapshot",
    "follow_up_slot_fill"
  ],
  "route_type": "transport",
  "workflow_name": "transport"
}
{
  "confidence": 0.89,
  "entities": {
    "date_phrase": "tomorrow",
    "time_text": "morning"
  },
  "is_vague": false,
  "primary_domain": "transport",
  "reason": "slot-like follow-up matches active workflow",
  "secondary_domains": [],
  "should_continue_active_workflow": true,
  "should_preempt_active_workflow": false,
  "urgency_signal": "none"
}
Workflow Progress And Intents
{
  "missing_fields": [
    "pet_count"
  ],
  "next_question": "Got it. I can help with transport. How many cats is this for?",
  "notes": [],
  "stage": "route_defined",
  "state_payload": {
    "drop_area": "Baner",
    "handling_requirements": [],
    "last_question_key": "pet_count",
    "pet_count": null,
    "pickup_area": "Aundh",
    "raw_date_text": "tomorrow",
    "raw_time_text": "morning",
    "request_kind": "booking",
    "return_trip_required": null,
    "stage": "route_defined",
    "time_window": "morning",
    "travel_date": "2026-03-17",
    "trip_kind": "unknown",
    "urgency_class": "soon"
  },
  "status": "collecting",
  "summary": "Aundh -> Baner | 2026-03-17 | morning",
  "superseded_by": null,
  "workflow_name": "transport"
}
[]
Conversation Before And After
{
  "active_state_machine": null,
  "active_workflow": {
    "last_question_key": "time_window",
    "missing_fields": [
      "time_window"
    ],
    "next_question": null,
    "stage": "route_defined",
    "started_at": "2026-03-16T22:14:16.254775+00:00",
    "state_payload": {
      "drop_area": "Baner",
      "pickup_area": "Aundh",
      "stage": "route_defined"
    },
    "status": "collecting",
    "summary": null,
    "superseded_by": null,
    "updated_at": "2026-03-16T22:14:16.254780+00:00",
    "version": 1,
    "workflow_name": "transport"
  },
  "current_state": null,
  "entities": {},
  "messages": [],
  "phone": "919900000403",
  "service_actions": [],
  "started_at": "2026-03-16T22:14:16.254804+00:00",
  "triage_state": null,
  "updated_at": "2026-03-16T22:14:16.254804+00:00"
}
{
  "active_state_machine": null,
  "active_workflow": {
    "last_question_key": "pet_count",
    "missing_fields": [
      "pet_count"
    ],
    "next_question": "Got it. I can help with transport. How many cats is this for?",
    "stage": "route_defined",
    "started_at": "2026-03-16T22:14:16.254775+00:00",
    "state_payload": {
      "drop_area": "Baner",
      "handling_requirements": [],
      "last_question_key": "pet_count",
      "pet_count": null,
      "pickup_area": "Aundh",
      "raw_date_text": "tomorrow",
      "raw_time_text": "morning",
      "request_kind": "booking",
      "return_trip_required": null,
      "stage": "route_defined",
      "time_window": "morning",
      "travel_date": "2026-03-17",
      "trip_kind": "unknown",
      "urgency_class": "soon"
    },
    "status": "collecting",
    "summary": "Aundh -> Baner | 2026-03-17 | morning",
    "superseded_by": null,
    "updated_at": "2026-03-16T22:14:16.264852+00:00",
    "version": 2,
    "workflow_name": "transport"
  },
  "current_state": "ROUTE_DEFINED",
  "entities": {
    "area": "Aundh",
    "date_phrase": "tomorrow",
    "drop_area": "Baner",
    "last_non_medical_domain": "transport",
    "pickup_area": "Aundh",
    "time_text": "morning",
    "time_window": "morning",
    "transport_urgency": "soon",
    "travel_date": "2026-03-17",
    "trip_kind": "unknown"
  },
  "messages": [
    {
      "role": "user",
      "source": null,
      "text": "Tomorrow morning",
      "timestamp": "2026-03-16T22:14:16.264880+00:00"
    },
    {
      "role": "assistant",
      "source": "B",
      "text": "Got it. I can help with transport. How many cats is this for?",
      "timestamp": "2026-03-16T22:14:16.264882+00:00"
    }
  ],
  "phone": "919900000403",
  "service_actions": [],
  "started_at": "2026-03-16T22:14:16.264874+00:00",
  "triage_state": null,
  "updated_at": "2026-03-16T22:14:16.264900+00:00"
}
Memory And Trace
{
  "active_state_machine": null,
  "backend": "inmemory",
  "conversation_key_used": "919900000403",
  "conversation_keys": [
    "919900000403",
    "9900000403"
  ],
  "current_state": null,
  "loaded": true,
  "ping_ok": null,
  "redis_enabled": false,
  "thread_message_count": 0,
  "ttl_seconds_remaining": null
}
{
  "active_state_machine": null,
  "backend": "inmemory",
  "conversation_key_used": "919900000403",
  "conversation_keys": [
    "919900000403",
    "9900000403"
  ],
  "current_state": "ROUTE_DEFINED",
  "loaded": true,
  "ping_ok": null,
  "redis_enabled": false,
  "thread_message_count": 2,
  "ttl_seconds_remaining": null
}
[
  {
    "component": "brain",
    "payload": {
      "channel": "scenario_harness",
      "conversation_key": "919900000403",
      "message_text": "Tomorrow morning",
      "normalized_phone": "919900000403",
      "phone": "919900000403"
    },
    "stage": "input",
    "summary": "Received normalized message envelope",
    "timestamp": "2026-03-16T22:14:16.264222+00:00"
  },
  {
    "component": "memory_store",
    "payload": {
      "active_state_machine": null,
      "backend": "inmemory",
      "current_state": null,
      "loaded": true,
      "message_count": 0,
      "storage_key": "919900000403"
    },
    "stage": "memory",
    "summary": "Loaded conversation memory",
    "timestamp": "2026-03-16T22:14:16.264229+00:00"
  },
  {
    "component": "brain",
    "payload": {
      "has_prior_triage_state": false,
      "prior_state_error": null
    },
    "stage": "state",
    "summary": "Parsed prior working state",
    "timestamp": "2026-03-16T22:14:16.264231+00:00"
  },
  {
    "component": "brain",
    "payload": {
      "compact_payload_keys": [
        "incoming_message"
      ],
      "has_conversation": true,
      "has_customer": false,
      "has_icp": false,
      "has_profile": false,
      "recent_import_count": 0,
      "storage_key": "919900000403"
    },
    "stage": "context",
    "summary": "Assembled SessionContext for the turn",
    "timestamp": "2026-03-16T22:14:16.264235+00:00"
  },
  {
    "component": "contact_resolver",
    "payload": {
      "confidence": 0.0,
      "customer_id": null,
      "display_name": null,
      "matched_phone": null,
      "status": "UNKNOWN"
    },
    "stage": "decision",
    "summary": "Resolved sender contact status",
    "timestamp": "2026-03-16T22:14:16.264241+00:00"
  },
  {
    "component": "turn_interpretation",
    "payload": {
      "confidence": 0.89,
      "contact_status": "UNKNOWN",
      "entities": {
        "date_phrase": "tomorrow",
        "time_text": "morning"
      },
      "is_vague": false,
      "primary_domain": "transport",
      "reason": "slot-like follow-up matches active workflow",
      "secondary_domains": [],
      "should_continue_active_workflow": true,
      "should_preempt_active_workflow": false,
      "urgency_signal": "none"
    },
    "stage": "decision",
    "summary": "Resolved turn interpretation deterministically",
    "timestamp": "2026-03-16T22:14:16.264454+00:00"
  },
  {
    "component": "profile_context",
    "payload": {
      "phone": "919900000403"
    },
    "stage": "context",
    "summary": "No customer matched provided phone",
    "timestamp": "2026-03-16T22:14:16.264460+00:00"
  },
  {
    "component": "entry_policy",
    "payload": {
      "allow_identity_question": false,
      "bypass_onboarding": true,
      "defer_existing_workflow": false,
      "preempt_active_workflow": false,
      "reason": "existing active workflow should continue unless urgency preempts it",
      "run_welcome_orientation": false,
      "selected_posture": "continue_active"
    },
    "stage": "decision",
    "summary": "Determined entry posture for this turn",
    "timestamp": "2026-03-16T22:14:16.264462+00:00"
  },
  {
    "component": "intent_parser",
    "payload": {
      "continue_active_workflow": true,
      "primary_intent": "transport_request",
      "reason": "continue_active_workflow_snapshot_from_follow_up",
      "resolved_state_machine": "transport",
      "workflow_source": "active_workflow"
    },
    "stage": "decision",
    "summary": "Resolved primary intent and state machine",
    "timestamp": "2026-03-16T22:14:16.264526+00:00"
  },
  {
    "component": "context_builder",
    "payload": {
      "active_workflow": "transport",
      "background_fact_count": 0,
      "current_step": "route_defined",
      "foreground_fact_count": 4,
      "prompt_family": "general",
      "purpose": "workflow_response"
    },
    "stage": "context",
    "summary": "Built workflow-response context slice for prompt assembly",
    "timestamp": "2026-03-16T22:14:16.264589+00:00"
  },
  {
    "component": "workflow",
    "payload": {
      "action_intents": [],
      "missing_fields": [
        "pet_count"
      ],
      "next_question": "Got it. I can help with transport. How many cats is this for?",
      "stage": "route_defined",
      "status": "collecting",
      "summary": "Aundh -> Baner | 2026-03-17 | morning",
      "workflow_name": "transport"
    },
    "stage": "decision",
    "summary": "Executed deterministic workflow handler",
    "timestamp": "2026-03-16T22:14:16.264864+00:00"
  },
  {
    "component": "memory_store",
    "payload": {
      "active_state_machine": null,
      "current_state": "ROUTE_DEFINED",
      "message_count_after": 2,
      "storage_key": "919900000403"
    },
    "stage": "mutation",
    "summary": "Persisted updated conversation memory",
    "timestamp": "2026-03-16T22:14:16.265209+00:00"
  }
]
Turn 2
concierge concierge completed turn_interpretation_domain
Stage advanced New slots filled Memory updated Route changed Expectation failure Heuristic warning
LIKELY BUG LIKELY BUG
User
Return trip also needed
Assistant
I can help with boarding, transport, clinic guidance, and general cat-care planning. Tell me which part you need help with and I’ll route it properly.

What Changed This Turn

  • Workflow changed transport -> concierge.
  • Stage advanced route_defined -> completed.
  • Route changed to concierge.
  • New slot filled: topic=service_discovery.
  • New slot filled: user_goal=information.
  • Memory updated with last_non_medical_domain.
  • Snapshot version incremented to 3.

Expectation And Heuristic Results

Expectations
LIKELY BUG: workflow_name expected 'transport' but got 'concierge'
Heuristics
LIKELY BUG: Terse follow-up may have broken workflow stickiness
Routing And Interpretation
{
  "confidence": 0.35,
  "reason_codes": [
    "turn_interpretation_domain"
  ],
  "route_type": "concierge",
  "workflow_name": "concierge"
}
{
  "confidence": 0.35,
  "entities": {},
  "is_vague": false,
  "primary_domain": "general",
  "reason": "deterministic interpretation is ambiguous; llm fallback unavailable: Error code: 401 - {'error': {'message': 'Incorrect API key provided: sk-proj-**************************************************************************************************************************************************************hhwA. You can find your API key at https://platform.openai.com/account/api-keys.', 'type': 'invalid_request_error', 'code': 'invalid_api_key', 'param': None}, 'status': 401}",
  "secondary_domains": [],
  "should_continue_active_workflow": false,
  "should_preempt_active_workflow": false,
  "urgency_signal": "none"
}
Workflow Progress And Intents
{
  "missing_fields": [],
  "next_question": null,
  "notes": [],
  "stage": "completed",
  "state_payload": {
    "conversion_target_workflow": null,
    "last_question_key": null,
    "location": null,
    "service_interest": null,
    "stage": "completed",
    "subtopic": null,
    "topic": "service_discovery",
    "user_goal": "information"
  },
  "status": "completed",
  "summary": "I can help with boarding, transport, clinic guidance, and general cat-care planning. Tell me which part you need help with and I’ll route it properly.",
  "superseded_by": null,
  "workflow_name": "concierge"
}
[
  {
    "action_type": "recommend_service",
    "idempotency_key": "2af935ce0e5404d0",
    "metadata": {
      "missing_fields": [],
      "normalized_slots": {
        "location": null,
        "service_interest": null,
        "topic": "service_discovery",
        "user_goal": "information"
      },
      "snapshot_version": null,
      "workflow_name": "concierge",
      "workflow_stage": "completed"
    },
    "payload": {
      "location": null,
      "service_interest": null,
      "topic": "service_discovery",
      "user_goal": "information"
    },
    "priority": "normal",
    "reason": "concierge answered a service discovery or informational request",
    "requires_admin_review": false,
    "source_workflow": "concierge",
    "status": "proposed",
    "user_visible": true
  }
]
Conversation Before And After
{
  "active_state_machine": null,
  "active_workflow": {
    "last_question_key": "pet_count",
    "missing_fields": [
      "pet_count"
    ],
    "next_question": "Got it. I can help with transport. How many cats is this for?",
    "stage": "route_defined",
    "started_at": "2026-03-16T22:14:16.254775+00:00",
    "state_payload": {
      "drop_area": "Baner",
      "handling_requirements": [],
      "last_question_key": "pet_count",
      "pet_count": null,
      "pickup_area": "Aundh",
      "raw_date_text": "tomorrow",
      "raw_time_text": "morning",
      "request_kind": "booking",
      "return_trip_required": null,
      "stage": "route_defined",
      "time_window": "morning",
      "travel_date": "2026-03-17",
      "trip_kind": "unknown",
      "urgency_class": "soon"
    },
    "status": "collecting",
    "summary": "Aundh -> Baner | 2026-03-17 | morning",
    "superseded_by": null,
    "updated_at": "2026-03-16T22:14:16.264852+00:00",
    "version": 2,
    "workflow_name": "transport"
  },
  "current_state": "ROUTE_DEFINED",
  "entities": {
    "area": "Aundh",
    "date_phrase": "tomorrow",
    "drop_area": "Baner",
    "last_non_medical_domain": "transport",
    "pickup_area": "Aundh",
    "time_text": "morning",
    "time_window": "morning",
    "transport_urgency": "soon",
    "travel_date": "2026-03-17",
    "trip_kind": "unknown"
  },
  "messages": [
    {
      "role": "user",
      "source": null,
      "text": "Tomorrow morning",
      "timestamp": "2026-03-16T22:14:16.264880+00:00"
    },
    {
      "role": "assistant",
      "source": "B",
      "text": "Got it. I can help with transport. How many cats is this for?",
      "timestamp": "2026-03-16T22:14:16.264882+00:00"
    }
  ],
  "phone": "919900000403",
  "service_actions": [],
  "started_at": "2026-03-16T22:14:16.264874+00:00",
  "triage_state": null,
  "updated_at": "2026-03-16T22:14:16.264900+00:00"
}
{
  "active_state_machine": null,
  "active_workflow": {
    "last_question_key": null,
    "missing_fields": [],
    "next_question": null,
    "stage": "completed",
    "started_at": "2026-03-16T22:14:16.254775+00:00",
    "state_payload": {
      "conversion_target_workflow": null,
      "last_question_key": null,
      "location": null,
      "service_interest": null,
      "stage": "completed",
      "subtopic": null,
      "topic": "service_discovery",
      "user_goal": "information"
    },
    "status": "completed",
    "summary": "I can help with boarding, transport, clinic guidance, and general cat-care planning. Tell me which part you need help with and I’ll route it properly.",
    "superseded_by": null,
    "updated_at": "2026-03-16T22:14:16.555923+00:00",
    "version": 3,
    "workflow_name": "concierge"
  },
  "current_state": "COMPLETED",
  "entities": {
    "area": "Aundh",
    "date_phrase": "tomorrow",
    "drop_area": "Baner",
    "last_non_medical_domain": "general",
    "pickup_area": "Aundh",
    "time_text": "morning",
    "time_window": "morning",
    "transport_urgency": "soon",
    "travel_date": "2026-03-17",
    "trip_kind": "unknown"
  },
  "messages": [
    {
      "role": "user",
      "source": null,
      "text": "Tomorrow morning",
      "timestamp": "2026-03-16T22:14:16.264880+00:00"
    },
    {
      "role": "assistant",
      "source": "B",
      "text": "Got it. I can help with transport. How many cats is this for?",
      "timestamp": "2026-03-16T22:14:16.264882+00:00"
    },
    {
      "role": "user",
      "source": null,
      "text": "Return trip also needed",
      "timestamp": "2026-03-16T22:14:16.555958+00:00"
    },
    {
      "role": "assistant",
      "source": "B",
      "text": "I can help with boarding, transport, clinic guidance, and general cat-care planning. Tell me which part you need help with and I’ll route it properly.",
      "timestamp": "2026-03-16T22:14:16.555960+00:00"
    }
  ],
  "phone": "919900000403",
  "service_actions": [],
  "started_at": "2026-03-16T22:14:16.264874+00:00",
  "triage_state": null,
  "updated_at": "2026-03-16T22:14:16.555977+00:00"
}
Memory And Trace
{
  "active_state_machine": null,
  "backend": "inmemory",
  "conversation_key_used": "919900000403",
  "conversation_keys": [
    "919900000403",
    "9900000403"
  ],
  "current_state": "ROUTE_DEFINED",
  "loaded": true,
  "ping_ok": null,
  "redis_enabled": false,
  "thread_message_count": 2,
  "ttl_seconds_remaining": null
}
{
  "active_state_machine": null,
  "backend": "inmemory",
  "conversation_key_used": "919900000403",
  "conversation_keys": [
    "919900000403",
    "9900000403"
  ],
  "current_state": "COMPLETED",
  "loaded": true,
  "ping_ok": null,
  "redis_enabled": false,
  "thread_message_count": 4,
  "ttl_seconds_remaining": null
}
[
  {
    "component": "brain",
    "payload": {
      "channel": "scenario_harness",
      "conversation_key": "919900000403",
      "message_text": "Return trip also needed",
      "normalized_phone": "919900000403",
      "phone": "919900000403"
    },
    "stage": "input",
    "summary": "Received normalized message envelope",
    "timestamp": "2026-03-16T22:14:16.267669+00:00"
  },
  {
    "component": "memory_store",
    "payload": {
      "active_state_machine": null,
      "backend": "inmemory",
      "current_state": "ROUTE_DEFINED",
      "loaded": true,
      "message_count": 2,
      "storage_key": "919900000403"
    },
    "stage": "memory",
    "summary": "Loaded conversation memory",
    "timestamp": "2026-03-16T22:14:16.267673+00:00"
  },
  {
    "component": "brain",
    "payload": {
      "has_prior_triage_state": false,
      "prior_state_error": null
    },
    "stage": "state",
    "summary": "Parsed prior working state",
    "timestamp": "2026-03-16T22:14:16.267674+00:00"
  },
  {
    "component": "brain",
    "payload": {
      "compact_payload_keys": [
        "incoming_message"
      ],
      "has_conversation": true,
      "has_customer": false,
      "has_icp": false,
      "has_profile": false,
      "recent_import_count": 0,
      "storage_key": "919900000403"
    },
    "stage": "context",
    "summary": "Assembled SessionContext for the turn",
    "timestamp": "2026-03-16T22:14:16.267677+00:00"
  },
  {
    "component": "contact_resolver",
    "payload": {
      "confidence": 0.0,
      "customer_id": null,
      "display_name": null,
      "matched_phone": null,
      "status": "UNKNOWN"
    },
    "stage": "decision",
    "summary": "Resolved sender contact status",
    "timestamp": "2026-03-16T22:14:16.267681+00:00"
  },
  {
    "component": "turn_interpretation",
    "payload": {
      "active_workflow": null,
      "deterministic_interpretation": {
        "confidence": 0.35,
        "is_vague": false,
        "primary_domain": "general",
        "reason": "deterministic interpretation is ambiguous",
        "urgency_signal": "none"
      },
      "message": "Return trip also needed",
      "model": "gpt-5.4"
    },
    "stage": "llm_request",
    "summary": "Calling small interpretation model because deterministic interpretation was ambiguous",
    "timestamp": "2026-03-16T22:14:16.267885+00:00"
  },
  {
    "component": "turn_interpretation",
    "payload": {
      "confidence": 0.35,
      "contact_status": "UNKNOWN",
      "entities": {},
      "is_vague": false,
      "primary_domain": "general",
      "reason": "deterministic interpretation is ambiguous; llm fallback unavailable: Error code: 401 - {'error': {'message': 'Incorrect API key provided: sk-proj-**************************************************************************************************************************************************************hhwA. You can find your API key at https://platform.openai.com/account/api-keys.', 'type': 'invalid_request_error', 'code': 'invalid_api_key', 'param': None}, 'status': 401}",
      "secondary_domains": [],
      "should_continue_active_workflow": false,
      "should_preempt_active_workflow": false,
      "urgency_signal": "none"
    },
    "stage": "decision",
    "summary": "Fell back to deterministic interpretation because LLM-assisted interpretation was unavailable",
    "timestamp": "2026-03-16T22:14:16.555594+00:00"
  },
  {
    "component": "profile_context",
    "payload": {
      "phone": "919900000403"
    },
    "stage": "context",
    "summary": "No customer matched provided phone",
    "timestamp": "2026-03-16T22:14:16.555614+00:00"
  },
  {
    "component": "entry_policy",
    "payload": {
      "allow_identity_question": true,
      "bypass_onboarding": false,
      "defer_existing_workflow": false,
      "preempt_active_workflow": false,
      "reason": "unknown contact with a clear non-urgent request can allow one light identity question later",
      "run_welcome_orientation": false,
      "selected_posture": "light_onboarding"
    },
    "stage": "decision",
    "summary": "Determined entry posture for this turn",
    "timestamp": "2026-03-16T22:14:16.555617+00:00"
  },
  {
    "component": "intent_parser",
    "payload": {
      "continue_active_workflow": false,
      "primary_intent": "general_inquiry",
      "reason": "turn_interpretation_domain_route",
      "resolved_state_machine": "concierge",
      "workflow_source": "intent_match"
    },
    "stage": "decision",
    "summary": "Resolved primary intent and state machine",
    "timestamp": "2026-03-16T22:14:16.555694+00:00"
  },
  {
    "component": "context_builder",
    "payload": {
      "active_workflow": "concierge",
      "background_fact_count": 0,
      "current_step": "ROUTE_DEFINED",
      "foreground_fact_count": 2,
      "prompt_family": "general",
      "purpose": "workflow_response"
    },
    "stage": "context",
    "summary": "Built workflow-response context slice for prompt assembly",
    "timestamp": "2026-03-16T22:14:16.555730+00:00"
  },
  {
    "component": "workflow",
    "payload": {
      "action_intents": [
        {
          "action_type": "recommend_service",
          "idempotency_key": "2af935ce0e5404d0",
          "metadata": {
            "missing_fields": [],
            "normalized_slots": {
              "location": null,
              "service_interest": null,
              "topic": "service_discovery",
              "user_goal": "information"
            },
            "snapshot_version": null,
            "workflow_name": "concierge",
            "workflow_stage": "completed"
          },
          "payload": {
            "location": null,
            "service_interest": null,
            "topic": "service_discovery",
            "user_goal": "information"
          },
          "priority": "normal",
          "reason": "concierge answered a service discovery or informational request",
          "requires_admin_review": false,
          "source_workflow": "concierge",
          "status": "proposed",
          "user_visible": true
        }
      ],
      "missing_fields": [],
      "next_question": null,
      "stage": "completed",
      "status": "completed",
      "summary": "I can help with boarding, transport, clinic guidance, and general cat-care planning. Tell me which part you need help with and I’ll route it properly.",
      "workflow_name": "concierge"
    },
    "stage": "decision",
    "summary": "Executed deterministic workflow handler",
    "timestamp": "2026-03-16T22:14:16.555943+00:00"
  },
  {
    "component": "memory_store",
    "payload": {
      "active_state_machine": null,
      "current_state": "COMPLETED",
      "message_count_after": 4,
      "storage_key": "919900000403"
    },
    "stage": "mutation",
    "summary": "Persisted updated conversation memory",
    "timestamp": "2026-03-16T22:14:16.556395+00:00"
  }
]