Increase output token limit for EquivalenceEvaluator #6835
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EquivalenceEvaluator was specifying MaxOutputTokens = 1 since its prompt instructs the LLM to produce a response (score) that is a single digit (between 1 and 5). Turns out that while this works for most models (including the OpenAI models that were used to test the prompt), some models require more than one token for this. For example, looks like Claude requires two tokens for this - see dotnet#6814). This PR bumps the MaxOutputTokens to 5 to address the above issue. Fixes dotnet#6814
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Pull Request Overview
Increases the maximum output token limit for EquivalenceEvaluator from 1 to 5 tokens to accommodate different LLM tokenization behaviors while maintaining the single-digit score output requirement.
- Bumps MaxOutputTokens from 1 to 5 in ChatOptions configuration
- Adds explanatory comment linking to the GitHub issue for context
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Sep 23, 2025
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EquivalenceEvaluator was specifying MaxOutputTokens = 1 since its prompt instructs the LLM to produce a response (score) that is a single digit (between 1 and 5).
Turns out that while this works for most models (including the OpenAI models that were used to test the prompt), some models require more than one token for this. For example, looks like Claude requires two tokens for this - see #6814).
This PR bumps the MaxOutputTokens to 5 to address the above issue.
Fixes #6814
Microsoft Reviewers: Open in CodeFlow