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Fetch the complete documentation index at: https://arizeai-433a7140-mikeldking-12899-providers-and-secrets.mintlify.app/llms.txt

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Here’s how to fix it:
1
Increase max_tokens: Update the model configuration as follows:
from phoenix.evals import LLM
from phoenix.evals import ClassificationEvaluator

llm = LLM(
    provider="openai",
    model="gpt-4o-2024-08-06",
    api_key=getpass("Enter your OpenAI API key..."),
)
# Pass max_tokens and temperature when creating the evaluator
evaluator = ClassificationEvaluator(
    ...,
    llm=llm,
    temperature=0.2,
    max_tokens=1000,  # Increase token limit
)
2
Update Phoenix: Use version ≥0.17.4, which removes token limits for OpenAI and increases defaults for other APIs.
3
Check Logs: Look for finish_reason="length" to confirm token limits caused the issue.
4
If the above doesn’t work, it’s possible the llm-as-a-judge output might not fit into the defined choices for that particular custom Phoenix eval. Double check the prompt output matches the expected choices.