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…only LLMs - Coerce response into target Pydantic model before returning JSON string in to_json() and ato_json() - Align non-function-calling path with InternalInstructor.to_json() single-layer output - Add sync and async regression unit tests in test_converter.py Resolves crewAIInc#7429
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Included review availability: Your plan provides up to 10 included reviews per hour; 6 remain after this review. 📝 WalkthroughWalkthroughChangesThe converter now validates non-function-calling LLM responses before JSON serialization. Synchronous and asynchronous paths return single-encoded model JSON. Tests cover string and mapping responses for JSON and Pydantic conversion. Converter JSON encoding
Priority: ➖ Normal Severity of issue fixed: Medium Merge Risk: ⚪ Minimal · up to The converter now accepts already-decoded mapping responses without double-encoding them, with sync and async regression coverage. No actionable merge risk remains. 🚥 Pre-merge checks | ✅ 5✅ Passed checks (5 passed)
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Inline comments:
In `@lib/crewai/src/crewai/utilities/converter.py`:
- Line 169: Update _coerce_response_to_pydantic and its asynchronous counterpart
to validate already-decoded non-string responses with
self.model.model_validate(response) before using the JSON-string validation
path, preserving string parsing behavior. Add synchronous and asynchronous
regression tests covering valid mapping responses from non-function-calling
models.
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lib/crewai/src/crewai/utilities/converter.pylib/crewai/tests/utilities/test_converter.py
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…response_to_pydantic - Validate non-string/bytes responses directly with model.model_validate(response) - Add sync and async regression tests for mapping responses in to_json, ato_json, to_pydantic, and ato_pydantic
Summary
Resolves #7429.
When using non-function-calling (text-only) LLMs,
Converter.to_json()andato_json()previously wrapped the LLM string response injson.dumps(), resulting in a double-encoded JSON string ('"{\\"name\\": ...}"'). This causedTask._unpack_model_output()to produce a string instead of a dictionary and fail with a PydanticTaskOutput.json_dictvalidation error.Changes
Converter.to_json()andato_json()to coerce text-only LLM output into the target model via_coerce_response_to_pydantic()and serialize using.model_dump_json(indent=2).InternalInstructor.to_json()behavior.lib/crewai/tests/utilities/test_converter.py.Testing
Ran unit tests with pytest:
test_converter_to_json_text_only_llm_single_encodingPASSEDtest_converter_ato_json_text_only_llm_single_encodingPASSED