import os
from scale_gp import SGPClient

client = SGPClient(
    api_key=os.environ.get("SGP_API_KEY"),  # This is the default and can be omitted
)
application_test_case_output = client.application_test_case_outputs.retrieve(
    application_test_case_output_id="application_test_case_output_id",
)
print(application_test_case_output)

{
  "application_variant_id": "<string>",
  "evaluation_dataset_id": "<string>",
  "test_case_id": "<string>",
  "output": {
    "generation_output": "<string>",
    "generation_extra_info": {
      "chunks": [
        {
          "text": "<string>",
          "metadata": {}
        }
      ],
      "schema_type": "CHUNKS"
    }
  },
  "id": "<string>",
  "created_at": "2023-11-07T05:31:56Z",
  "account_id": "<string>",
  "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",
    "created_at": "2023-11-07T05:31:56Z",
    "operation_metadata": {},
    "models": [
      "<string>"
    ],
    "chat_thread_id": "<string>",
    "interaction_source": "EXTERNAL_AI",
    "trace_spans": [
      {
        "id": "<string>",
        "node_id": "<string>",
        "operation_type": "TEXT_INPUT",
        "operation_status": "SUCCESS",
        "operation_input": {},
        "operation_output": {},
        "start_timestamp": "2023-11-07T05:31:56Z",
        "duration_ms": 123,
        "application_interaction_id": "<string>",
        "application_variant_id": "<string>",
        "operation_expected": {},
        "operation_metadata": {},
        "end_timestamp": "2023-11-07T05:31:56Z",
        "trace_id": "<string>",
        "parent_id": "<string>",
        "group_id": "<string>",
        "account_id": "<string>",
        "created_by_user_id": "<string>",
        "created_by_identity_type": "user"
      }
    ]
  },
  "test_case_version": {
    "evaluation_dataset_id": "<string>",
    "test_case_data": {
      "input": "<string>",
      "artifact_ids_filter": [
        "<string>"
      ],
      "expected_output": "<string>",
      "expected_extra_info": {
        "chunks": [
          {
            "text": "<string>",
            "metadata": {}
          }
        ],
        "schema_type": "CHUNKS"
      }
    },
    "autogenerated": true,
    "id": "<string>",
    "created_at": "2023-11-07T05:31:56Z",
    "updated_at": "2023-11-07T05:31:56Z",
    "account_id": "<string>",
    "created_by_user_id": "<string>",
    "created_by_identity_type": "user",
    "schema_type": "GENERATION",
    "chat_history": {},
    "test_case_metadata": {},
    "invalidated_at": "2023-11-07T05:31:56Z",
    "archived_at": "2023-11-07T05:31:56Z"
  },
  "metric_scores": [
    {
      "metric_type": "answer-correctness",
      "category": "accuracy",
      "score": 123,
      "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"
          }
        ]
      }
    }
  ],
  "schema_type": "GENERATION",
  "application_interaction_id": "<string>",
  "application_test_case_output_group_id": "<string>",
  "metrics": {}
}