import os
from dataframer import Dataframer

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

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

{
  "results": [
    {
      "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"
    }
  ],
  "count": 123
}