import os
from dataframer import Dataframer

client = Dataframer(
    api_key=os.environ.get("DATAFRAMER_API_KEY"),  # This is the default and can be omitted
)
evaluation = client.dataframer.judges.evaluations.retrieve(
    evaluation_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
    judge_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
)
print(evaluation.id)

curl https://df-api.dataframer.ai/api/dataframer/judges/$JUDGE_ID/evaluations/$EVALUATION_ID/ \
    -H "Authorization: Bearer $DATAFRAMER_API_KEY"

{
  "id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "judge_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "judge_version": 123,
  "source": "api",
  "status": "succeeded",
  "model": "<string>",
  "verdict": {
    "overall_score": 123,
    "confidence": 123,
    "reasoning": "<string>",
    "dimensions": [
      {
        "dimension_id": "<string>",
        "name": "<string>",
        "scoring_model": "pass_fail",
        "label": "<string>",
        "labels": [
          "<string>"
        ],
        "score": 123,
        "passed": true,
        "notes": "<string>"
      }
    ]
  },
  "error": "<string>",
  "latency_ms": 123,
  "created_at": "2023-11-07T05:31:56Z",
  "content_location": {
    "data_plane": true,
    "s3_key": "<string>",
    "storage_uri": "<string>",
    "sha256": "<string>",
    "bytes_size": 123,
    "version": 123,
    "fields": {}
  },
  "content_unavailable_reason": "result_content_in_data_plane",
  "rendered_text": "<string>"
}

{
  "error": "<string>"
}