Reasoning support for evaluators

[nagkumar91]

Description

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• The pull request does not introduce [breaking changes]
• CHANGELOG is updated for new features, bug fixes or other significant changes.
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Testing Guidelines

• Pull request includes test coverage for the included changes.

[github-actions]

API Change Check

APIView identified API level changes in this PR and created the following API reviews

azure-ai-evaluation

[Copilot]

Pull Request Overview

This PR adds support for reasoning models to evaluators by introducing an is_reasoning_model keyword parameter. When set, this parameter updates the evaluator configuration appropriately for reasoning models, enabling better integration with Azure OpenAI's reasoning capabilities.

Key Changes:

• Added is_reasoning_model parameter to all evaluators' constructors
• Updated QAEvaluator to propagate this parameter to child evaluators
• Added defensive parameter checking in GroundednessEvaluator for backward compatibility
• Updated documentation across evaluators to describe the new parameter

Reviewed Changes

Copilot reviewed 11 out of 11 changed files in this pull request and generated 2 comments.

Show a summary per file

File	Description
_similarity/_similarity.py	Added is_reasoning_model parameter and updated docstrings
_retrieval/_retrieval.py	Added is_reasoning_model parameter support
_response_completeness/_response_completeness.py	Added is_reasoning_model parameter and improved formatting
_relevance/_relevance.py	Added is_reasoning_model parameter support
_qa/_qa.py	Updated to propagate is_reasoning_model to child evaluators
_groundedness/_groundedness.py	Added parameter support with backward compatibility checks
_fluency/_fluency.py	Added is_reasoning_model parameter and updated docstrings
_base_prompty_eval.py	Updated to pass is_reasoning_model to AsyncPrompty.load
_base_multi_eval.py	Minor import formatting improvement
_coherence/_coherence.py	Added is_reasoning_model parameter and updated docstrings
CHANGELOG.md	Documented the new feature and bug fix

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[singankit]

Should we let it fail like before ?