Get Application Test Case Output

import SGPClient from 'sgp';

const client = new SGPClient({
  apiKey: process.env['SGP_API_KEY'], // This is the default and can be omitted
});

async function main() {
  const applicationTestCaseOutput = await client.applicationTestCaseOutputs.retrieve(
    'application_test_case_output_id',
  );

  console.log(applicationTestCaseOutput);
}

main();

{
  "interaction": {
    "id": "<string>",
    "input": {},
    "output": {},
    "aggregated": true,
    "application_spec_id": "<string>",
    "application_variant_id": "<string>",
    "start_timestamp": "2023-11-07T05:31:56Z",
    "duration_ms": 123,
    "operation_status": "SUCCESS",
    "operation_metadata": {},
    "chat_thread_id": "<string>",
    "interaction_source": "EXTERNAL_AI",
    "created_at": "2023-11-07T05:31:56Z",
    "trace_spans": [
      {
        "id": "<string>",
        "application_interaction_id": "<string>",
        "node_id": "<string>",
        "operation_type": "TEXT_INPUT",
        "operation_status": "SUCCESS",
        "operation_input": {},
        "operation_output": {},
        "operation_expected": {},
        "operation_metadata": {},
        "start_timestamp": "2023-11-07T05:31:56Z",
        "duration_ms": 123
      }
    ]
  },
  "test_case_version": {
    "evaluation_dataset_id": "<string>",
    "schema_type": "GENERATION",
    "test_case_data": {
      "input": "<string>",
      "expected_output": "<string>",
      "expected_extra_info": {
        "schema_type": "CHUNKS",
        "chunks": [
          {
            "text": "<string>",
            "metadata": {}
          }
        ]
      },
      "artifact_ids_filter": [
        "<string>"
      ]
    },
    "chat_history": {},
    "autogenerated": true,
    "test_case_metadata": {},
    "id": "<string>",
    "created_at": "2023-11-07T05:31:56Z",
    "account_id": "<string>",
    "created_by_user_id": "<string>",
    "archived_at": "2023-11-07T05:31:56Z"
  },
  "metric_scores": [
    {
      "score": 123,
      "metric_type": "answer-correctness",
      "category": "accuracy",
      "llm_metadata": {
        "reasoning": "<string>",
        "logging": {},
        "time_elapsed_s": 123,
        "usage": [
          {
            "prompt_tokens": 123,
            "completion_tokens": 123,
            "cost": 123,
            "model": "gpt-4-turbo-2024-04-09"
          }
        ]
      }
    }
  ],
  "application_variant_id": "<string>",
  "evaluation_dataset_id": "<string>",
  "test_case_id": "<string>",
  "output": {
    "generation_output": "<string>",
    "generation_extra_info": {
      "schema_type": "CHUNKS",
      "chunks": [
        {
          "text": "<string>",
          "metadata": {}
        }
      ]
    }
  },
  "schema_type": "GENERATION",
  "application_interaction_id": "<string>",
  "application_test_case_output_group_id": "<string>",
  "id": "<string>",
  "created_at": "2023-11-07T05:31:56Z",
  "account_id": "<string>",
  "metrics": {}
}