from mka1 import SDK


with SDK(
    bearer_auth="<YOUR_BEARER_TOKEN_HERE>",
) as sdk:

    res = sdk.llm.responses.get(response_id="resp_get123", include=[
        "file_search_call.results",
        "message.output_text.logprobs",
    ], include_obfuscation=False, starting_after=42, stream=False)

    with res as event_stream:
        for event in event_stream:
            # handle event
            print(event, flush=True)

{
  "id": "resp_get123",
  "object": "response",
  "created_at": 1735689600,
  "completed_at": 1735689601,
  "status": "completed",
  "error": null,
  "incomplete_details": null,
  "background": false,
  "instructions": null,
  "max_output_tokens": null,
  "max_tool_calls": 30,
  "metadata": {},
  "model": "meetkai:functionary-urdu-mini-pak",
  "output": [
    {
      "type": "message",
      "id": "msg_abc123",
      "role": "assistant",
      "content": [
        {
          "type": "output_text",
          "text": "The capital of France is Paris.",
          "annotations": []
        }
      ],
      "status": "completed"
    }
  ],
  "output_text": "The capital of France is Paris.",
  "parallel_tool_calls": true,
  "previous_response_id": null,
  "reasoning": {
    "effort": null,
    "summary": null
  },
  "service_tier": "auto",
  "store": true,
  "text": {
    "format": {
      "type": "text"
    },
    "verbosity": "medium"
  },
  "tool_choice": "auto",
  "tools": [],
  "truncation": "auto",
  "usage": {
    "input_tokens": 8,
    "input_tokens_details": {
      "cached_tokens": 0
    },
    "output_tokens": 7,
    "output_tokens_details": {
      "reasoning_tokens": 0
    },
    "total_tokens": 15
  },
  "user": null
}