Add evaluation stage

[KaQuMiQ]

No description provided.

[coderabbitai]

Walkthrough

The version number in the pyproject.toml file was incremented from 0.71.1 to 0.71.2. In the Stage class, two new class methods, result_evaluation and context_evaluation, were introduced to enable evaluation of the current result or context using provided evaluators. These methods raise a StageException if the evaluation fails, including evaluation details in the exception metadata. The StageException class was updated to accept an optional meta parameter, allowing instances to carry additional metadata, which is processed and stored as a Meta object. No other changes were made.

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📥 Commits

Reviewing files that changed from the base of the PR and between 35cc6a1 and 6300b73.

📒 Files selected for processing (3)

• pyproject.toml (1 hunks)
• src/draive/stages/stage.py (2 hunks)
• src/draive/stages/types.py (3 hunks)

🔇 Additional comments (6)

src/draive/stages/types.py (2)

6-6: LGTM: Import addition is correct.

The import of Meta and MetaValues from draive.commons is necessary for the enhanced StageException constructor and follows the existing import patterns.

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285-303: LGTM: Well-implemented StageException enhancement.

The addition of the optional meta parameter to StageException is properly implemented:

• Parameter typing is correct (Meta | MetaValues | None)
• Documentation clearly describes the new parameter
• Uses the established Meta.of(meta) pattern for conversion
• Maintains backward compatibility with the optional parameter

This enhancement properly supports the new evaluation stages that need to carry detailed metadata about evaluation failures.

src/draive/stages/stage.py (3)

18-23: LGTM: Evaluation imports are correctly added.

The imports from draive.evaluation are properly structured and include all necessary types:

• EvaluatorResult and ScenarioEvaluatorResult for return type handling
• PreparedEvaluator and PreparedScenarioEvaluator for parameter typing

These imports support the new evaluation functionality without introducing unused dependencies.

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845-904: LGTM: Well-implemented result evaluation stage.

The result_evaluation method is properly implemented with several strengths:

• Type safety: Correct union type for evaluator parameter supports both evaluator types
• Clear documentation: Comprehensive docstring with parameters, returns, and examples
• Proper scoping: Uses ctx.scope for execution tracking
• Consistent error handling: Raises StageException with detailed metadata on failure
• Performance consideration: Returns early when evaluation passes
• Debugging support: Uses __debug__ flag for detailed reports

The metadata inclusion in the exception (evaluation_score and evaluation_report) provides valuable debugging information when evaluations fail.

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906-963: LGTM: Consistent context evaluation implementation.

The context_evaluation method maintains excellent consistency with result_evaluation:

• Parallel structure: Follows the same pattern as result_evaluation for maintainability
• Correct type annotations: Properly typed for LMMContext evaluation
• Consistent error handling: Uses identical exception structure and metadata
• Proper documentation: Clear docstring following the established pattern

The implementation correctly evaluates state.context instead of state.result, providing comprehensive evaluation capabilities for both major components of stage state.

pyproject.toml (1)

8-8: LGTM: Appropriate version bump for new features.

The version increment from 0.71.1 to 0.71.2 is correct for this release:

• Minor version bump appropriately reflects the addition of new evaluation stage functionality
• No breaking changes were introduced
• The new result_evaluation and context_evaluation methods are additive features

This follows semantic versioning principles correctly.

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