feat: add deterministic evaluators for output and trajectory checks#3
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feat: add deterministic evaluators for output and trajectory checks#3
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Add a new evaluator subpackage containing rule-based evaluators that don't require LLM calls: - **Output evaluators**: , , , for checking actual_output against expected values or custom logic - **Trajectory evaluator**: for verifying specific tools were invoked during agent execution Includes comprehensive unit tests for all new evaluators and exports them from the top-level evaluators package.
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Remove the Custom evaluator class and all associated exports and tests. The Custom evaluator allowed users to pass arbitrary callback functions, but this functionality can be achieved by subclassing the base Evaluator directly, making the Custom wrapper unnecessary.
afarntrog
had a problem deploying
to
auto-approve
GitHub Actions
Failure
Remove the Custom evaluator class and all associated exports and tests. The Custom evaluator allowed users to pass arbitrary callback functions, but this functionality can be achieved by subclassing the base Evaluator directly, making the Custom wrapper unnecessary.
afarntrog
had a problem deploying
to
auto-approve
GitHub Actions
Failure
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Add a new evaluator subpackage containing rule-based evaluators that don't require LLM calls:
Includes comprehensive unit tests for all new evaluators and exports them from the top-level evaluators package.
Description
Related Issues
Documentation PR
Type of Change
Bug fix
New feature
Breaking change
Documentation update
Other (please describe):
Testing
How have you tested the change? Verify that the changes do not break functionality or introduce warnings in consuming repositories: agents-docs, agents-tools, agents-cli
hatch run prepareChecklist
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