Create an AI quality test case

`POST /aiQualityCheck/testCase`

Create a new test case (an AI-agent-bound ticket whose expected result is locked in) so it can be replayed by future test runs. The body specifies the ticket id, target AI agent and the expected result.

Request body

ticketIdintegerbody

Ticket to use as the test case.

aiAgentIdintegerbody

AI agent the test case is bound to.

expectedResultobjectbody

The updated expected result for the test ticket. You can either specify all test conditions, or only some. In this case only the provided test conditions will be provided

Request Example

{
  "ticketId": 1,
  "aiAgentId": 1,
  "expectedResult": {
    "contractId": "123456",
    "inputParameters": {
      "change_meter_reading": {
        "_action": null,
        "requestedDeposit": 35
      }
    },
    "intentDetection": [
      "change_meter_reading",
      "change_payment_method"
    ],
    "outcomeActions": {
      "change_meter_reading": [
        "Update ERP System",
        "Inform Customer change is not possible"
      ]
    },
    "outcomeNotifications": {
      "change_meter_reading": [
        "Meter reading is plausible"
      ]
    },
    "outcomeText": {
      "change_meter_reading": null
    },
    "outcomeType": {
      "change_meter_reading": "interaction"
    },
    "sentiment": "disappointed",
    "tags": [
      "sales",
      "marketing"
    ],
    "aiSupportLevel": "human",
    "sources": {
      "change_meter_reading": [
        {
          "type": "ticket",
          "id": "123",
          "summary": "Similar case"
        },
        {
          "type": "faq",
          "id": "456",
          "title": "How to change meter reading"
        }
      ]
    },
    "error": null
  }
}

Responses

200 — Created

Response Example

{
  "success": true,
  "testCase": {
    "id": 1,
    "ticketId": 1,
    "aiAgentIds": [
      1,
      2,
      3
    ],
    "channel": "string",
    "summary": "string",
    "description": "string",
    "expectedResult": null,
    "modifiedBy": 1
  }
}