2268b6a77a
Add app credentials, account-scoped idempotency and per-app terminal notifications. Consolidate the unreleased migration baseline, preserve rule descriptions as AI context, and regenerate provider contracts with regression coverage.
54 lines
2.5 KiB
JSON
54 lines
2.5 KiB
JSON
{
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"request_id": "f81c7c4e-a92a-4b19-8d7a-3a5c08eb4e6e",
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"account_id": "3",
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"subject_ref": "mock-lead-001",
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"snapshot": {
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"version": "1.0.0",
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"scope": "linked_contact_history",
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"captured_at": "2026-01-01T12:00:00Z",
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"lead_profile": {
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"ems_lead_id": "mock-lead-001",
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"name": "Nguyen Minh An",
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"phone": "+84000000001",
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"email": "an@example.invalid",
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"status": "new",
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"custom_fields": {"region": "north", "program_interest": "data science"}
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},
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"conversations": [
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{
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"conversation_id": "mock-conversation-001",
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"channel": "webchat",
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"assigned_agent_id": "mock-agent-01",
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"messages": [
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{"message_id": "mock-message-001", "sender_type": "contact", "content": "I am interested in the data science program.", "sent_at": "2025-12-31T10:00:00Z"},
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{"message_id": "mock-message-002", "sender_type": "agent", "content": "The next cohort starts in March.", "sent_at": "2025-12-31T10:05:00Z"},
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{"message_id": "mock-message-003", "sender_type": "contact", "content": "Please send me the application requirements.", "sent_at": "2025-12-31T10:10:00Z"}
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]
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},
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{
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"conversation_id": "mock-conversation-002",
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"channel": "email",
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"assigned_agent_id": "mock-agent-02",
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"messages": [
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{"message_id": "mock-message-004", "sender_type": "agent", "content": "I have sent the program brochure.", "sent_at": "2025-12-31T11:00:00Z"},
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{"message_id": "mock-message-005", "sender_type": "contact", "content": "Thank you, I will review it today.", "sent_at": "2025-12-31T11:15:00Z"}
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]
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}
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],
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"identity_context": {"match_quality": "phone_and_email", "contact_id": "mock-contact-001", "details": {"source": "local_mock_fixture"}},
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"trigger_metadata": {"trigger_type": "manual_omni", "trigger_conversation_id": "mock-conversation-002", "actor_id": "mock-user-01"}
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},
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"scoring_config": {
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"version": "mock-omni-v1",
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"rules": [
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{"id": "region-north", "field": "custom_fields.region", "operator": "eq", "value": "north", "points": 25},
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{"id": "program-interest", "field": "custom_fields.program_interest", "operator": "contains", "value": "data", "points": 35},
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{"id": "conversation-count", "field": "metrics.conversation_count", "operator": "eq", "value": 2, "points": 10},
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{"id": "contact-message-count", "field": "metrics.contact_message_count", "operator": "eq", "value": 3, "points": 10}
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],
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"rule_weight": 1,
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"ai_weight": 0
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},
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"ai_profile": "medium"
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}
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