AI flow execution status webhooks

Peach can trigger various webhooks as part of the AI flow execution's life-cycle, if those have been configured from within Peach—be it when an AI Agent converses with a contact, or when a conversation is analyzed.

ai_flow_execution.started - this is triggered when the AI Agent picks up a conversation with a contact.

The webhook payload:

{
  "type": "ai_flow_execution.started",
  "data": {
    "id": "aiflw_1234abcd",
    "name": "Customer engagement",
    "app_type": "AI App",
    "status": "<one of draft or published>",
    "description": "Engages and solves customer queries."
  }
}

ai_flow_execution.escalated - this is triggered when AI Agent escalates the conversation happening with a contact.

The webhook payload:

{
  "type": "ai_flow_execution.escalated",
  "data": {
    "id": "aiflw_1234abcd",
    "name": "Customer engagement",
    "app_type": "AI App",
    "status": "<one of draft or published>",
    "description": "Engages and solves customer queries."
  }
}

ai_flow_execution.completed - this is triggered when AI Agent completes the conversation happening with a contact.

The webhook payload:

{
  "type": "ai_flow_execution.completed",
  "data": {
    "id": "aiflw_1234abcd",
    "name": "Customer engagement",
    "app_type": "AI App",
    "status": "<one of draft or published>",
    "description": "Engages and solves customer queries."
  }
}

ai_flow_execution.analyzed - this is triggered when an AI Agent conversation is analyzed.

The webhook payload:

{
  "type": "ai_flow_execution.analyzed",
  "data": {
    "id": "aiflw_1234abcd",
    "name": "Customer engagement",
    "app_type": "AI App",
    "status": "<one of draft or published>",
    "description": "Engages and solves customer queries."
  }
}