crewAI

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Devin AI d633aaa5fa fix(hitl): log pre-review failures and add learn_strict mode

Closes #5725.

In _pre_review_with_lessons (lib/crewai/src/crewai/flow/human_feedback.py),
a broad except Exception: return method_output silently swallowed any
LLM, network, auth, or structured-output failure during the pre-review
step. Callers could not distinguish pre-reviewed output from raw output,
and there was no log or event surfaced.

Changes:
- Add a module logger.
- Narrow the try/except in _pre_review_with_lessons so the mem is None
  and not matches short-circuits stay outside the failure path (those
  are not error cases).
- On recall or LLM pre-review failure, log a WARNING with exc_info=True
  so the silent fallback is observable. Continue to fall back to the raw
  method_output so the flow does not break.
- Add an opt-in learn_strict=True parameter on the human_feedback
  decorator and HumanFeedbackConfig that re-raises pre-review failures
  instead of falling back, for callers that need fail-closed behavior.
- Update the Graceful degradation docs section to reflect the new
  observable-by-default behavior and document learn_strict.

Tests (lib/crewai/tests/test_human_feedback_decorator.py):
- New TestHumanFeedbackPreReviewFailure class with 7 tests covering
  WARNING logging on LLM and recall failures, learn_strict propagation
  in both sync and async paths, and config introspection of the new
  learn_strict flag.

Co-Authored-By: João <joao@crewai.com>

2026-05-06 04:25:15 +00:00