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fix(converter): preserve agent reference in pydantic coercion fallback - #7989
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Strix Security ReviewWarning This pull request has 179 commits after the last Strix review ( No security issues found. Review summaryReviewed PR #7989, a bugfix that preserves the agent reference across the Pydantic coercion fallback path. The apparent large diffs (+2265/-2264 in agent/core.py and +633/-633 in utilities/converter.py) are line-ending normalization noise; the actual semantic change is three small edits: adding an optional All three changes thread an internal Agent object reference into the retry/convert-with-instructions path to prevent a spurious Updated for Reviewed by Strix |
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📝 Walkthrough
Priority: ➖ Normal Severity of issue fixed: Medium Merge Risk: ⚪ Minimal · up to
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| Check name | Status | Explanation | Resolution |
|---|---|---|---|
| Out of Scope Changes check |  |
The PR includes a separate retry-budget change in handle_partial_json, convert_with_instructions, async_handle_partial_json, and async_convert_with_instructions. These changes propagate and in… |
Remove the attempt-propagation and nested-retry-budget changes from this PR, or link a directly applicable issue that requires them and provide evidence that the added behavior is in scope. |
✅ Passed checks (4 passed)
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Check name Status Explanation Title check The title clearly identifies the converter fix and the preserved agent reference, which matches the primary change. Description check The description explains the issue, the implementation, the linked issue ( #7984), and the verification performed. It does not use the exact template headings or report that the runtime reproducer and …Linked Issues check Issue #7984requires the agent reference to survive Pydantic fallback retries.OutputConverternow stores optionalagent=None. The synchronous and asynchronous Pydantic coercion paths pass `self.a…Docstring Coverage Docstring coverage is 95.00% which is sufficient. The required threshold is 80.00%. Docstring coverage is scoped to functions touched by this diff. Analyzed 20 functions across 2 files.
Full details: Out of Scope Changes check
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Explanation
The PR includes a separate retry-budget change in
handle_partial_json,convert_with_instructions,async_handle_partial_json, andasync_convert_with_instructions. These changes propagate and increment anattemptvalue across nested conversions and change behavior when the maximum is reached. Issue#7984requires agent preservation, but it does not require a global nested-retry budget change.
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Actionable comments posted: 3
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Inline comments:
Review comments at @lib/crewai/src/crewai/utilities/converter.py:
- Line 67: Update the async coercion path in ato_pydantic to use
async_handle_partial_json instead of synchronous handle_partial_json, ensuring
instruction-based conversion retries await converter.ato_pydantic() and do not
block the event loop.
- Line 67: Route ValidationError from handle_partial_json in to_pydantic through
convert_with_instructions, passing self.agent so schema-invalid JSON uses the
agent-aware instruction fallback instead of repeating the outer attempt.
- Line 67: Update Agent.get_output_converter or create_converter so every
Converter created for an instruction retry receives the same agent reference;
ensure repeated fallback attempts preserve the agent used by
convert_with_instructions.
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lib/crewai/src/crewai/agent/core.pylib/crewai/src/crewai/agents/agent_builder/utilities/base_output_converter.pylib/crewai/src/crewai/utilities/converter.py
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Actionable comments posted: 1
- 🪄 Fix CodeRabbit comments on this PR
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only still-valid issues, skip the rest with a brief reason, keep changes
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Inline comments:
Review comments at @lib/crewai/src/crewai/utilities/converter.py:
- Line 369: Instruction retries can create nested converters whose Pydantic
conversion restarts at attempt 1, allowing persistent schema-invalid output to
exhaust the call stack. At converter.py lines 369-369, pass the shared retry
budget through the synchronous instruction conversion; at converter.py lines
528-528, apply the same budget to asynchronous instruction conversion. Ensure
retries across nested converters consume the same limit.
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lib/crewai/src/crewai/agent/core.pylib/crewai/src/crewai/utilities/converter.py
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When Pydantic validation fails and _coerce_response_to_pydantic falls back to handle_partial_json, the agent reference was hardcoded to None. If the partial-JSON path then needs another LLM round-trip (instruction fallback), it crashes because handle_partial_json expects an agent with an llm. - Add optional �gent: Any = None field to OutputConverter base. - Pass self.agent instead of None in _coerce_response_to_pydantic. - Make Agent.get_output_converter an instance method and pass agent=self. This is a rebase of crewAIInc#7989 onto current main after the monorepo restructure.
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| model=self.model, | ||
| is_json_output=False, | ||
| agent=None, | ||
| agent=self.agent, |
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Async fallback blocks the event loop
High Severity
ato_pydantic still calls _coerce_response_to_pydantic, which is no longer I/O-free once agent is set. The instruction retry runs handle_partial_json → convert_with_instructions → to_pydantic → llm.call on the event loop, blocking async task export for the recovery path this change enables.
Additional Locations (1)
Reviewed by Cursor Bugbot for commit 1aa889e. Configure here.
cursor[bot] flagged that stamping the calling agent onto the Converter built inside convert_with_instructions lets a failed refit route its own partial-JSON fallback back through convert_with_instructions, spawning a nested LLM call tree on every failed attempt. The refit converter is now built with agent=None (falling back to the base Converter when no custom converter_cls is given), so a ValidationError stays inside that converter's max_attempts loop. The top-level agent stamping that fixes crewAIInc#7984 is unchanged: the refit still runs with the agent's LLM and still recovers off-schema output. Empirically verified with a stubbed-LLM harness: always-invalid output now costs 12 provider calls (measured 183 before this change); refit recovery and refit self-retry paths still pass.
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Note for triage: the security bot flagged this PR as having 174 new commits after its last review. That spike comes from a routine |
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Cursor Bugbot has reviewed your changes using default effort and found 1 potential issue.
There are 2 total unresolved issues (including 1 from previous review).
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Want higher recall? High effort reviews run extra passes and find more bugs. A team admin can switch effort levels in the Cursor dashboard.
Reviewed by Cursor Bugbot for commit 0176128. Configure here.
The response_format fallback in Agent._build_lite_agent_output built a Converter without the agent, so its partial-JSON path entered convert_with_instructions(agent=None) and raised the crewAIInc#7984 TypeError on every attempt - the designed instructions-based refit never ran. Build it through self.get_output_converter() so the fallback converter carries the agent. The refit converter created inside convert_with_instructions is still agent-less, so the nested LLM call tree found earlier cannot reappear here. Verified with a stubbed-LLM harness: - agent-less construction (before): 3 provider calls, TypeError inside the ConverterError chain, no recovery; - agent-stamped construction (after): recovery on the instructed refit round (2 calls); - always-failing LLM (after): bounded at 12 provider calls.
What
When
Agent._execute_corefalls back to converter-based parsing after direct Pydantic validation fails, theConverterwas constructed without the agent reference. Inside_coerce_response_to_pydantic, the partial-JSON handler then calledhandle_partial_json(..., agent=None)unconditionally.If the partial-JSON path delegates to
convert_with_instructions, that function raises:This crashes the retry conversion and propagates up as a
ConverterError, even though the LLM output is recoverable via the instructions-based retry path.Fix
agent: Any = Nonefield toOutputConverter(backward compatible — existing callers that don't pass an agent keep working).Agent.get_output_converteris an instance method again and stampsagent=selfon the converter it builds._coerce_response_to_pydantic, passself.agentinstead of the hard-codedagent=Nonetohandle_partial_json.response_formatfallback (Agent._build_lite_agent_output) now builds its converter throughself.get_output_converter(...)so that fallback carries the agent too (round 3, below).convert_with_instructions/async_convert_with_instructionsare built withagent=None(baseConverterunless a customconverter_clsis given). This keeps a failed refit inside that converter's ownmax_attemptsloop instead of routing the partial-JSON fallback back throughconvert_with_instructions— the unbounded nested-LLM-call tree found in round 2 (see below).No behavior change for call sites that don't have an agent (e.g. the static
get_output_converteron the LangGraph adapter).How to test
Reproducer from #7984:
model_validate_jsonbut can be repaired via partial JSON / instructions.convert_with_instructionsreceives the agent and completes the retry successfully.Verified with a stubbed-LLM harness (fake agent + fake LLM with scripted replies, exercising the real
Converter/handle_partial_json/convert_with_instructionscode paths):max_attempts(3 calls);convert_to_modelentry point (the_execute_corepath): same recovery behavior.Note
Medium Risk
Changes agent/LLM structured-output retry and refit control flow; mis-wiring could affect conversion success or provider call volume, but refit paths are explicitly bounded.
Overview
Fixes structured-output recovery when direct Pydantic validation fails and the partial-JSON path needs an instructions-based LLM refit (#7984).
OutputConverter / Converter now accept an optional
agentreference.Agent.get_output_converteris an instance method again and stampsagent=selfon the converter._coerce_response_to_pydanticforwards that agent intohandle_partial_jsoninstead ofNone, soconvert_with_instructionscan run without raisingTypeError.Refit converters inside
convert_with_instructions/async_convert_with_instructionsare built withagent=None(and defaultConverterwhen no custom class is passed). That keeps refit retries inside each converter’smax_attemptsloop and avoids routing partial-JSON failures back throughconvert_with_instructions, which previously caused unbounded nested LLM calls.Reviewed by Cursor Bugbot for commit 0176128. Bugbot is set up for automated code reviews on this repo. Configure here.
Security hardening (round 2, 2026-10-31)
Cursor Bugbot flagged (MEDIUM) that the agent-stamped refit converter created in
convert_with_instructionscould route its own partial-JSON fallback back throughconvert_with_instructions, spawning a nested LLM call tree on every failed attempt.Reproduced empirically with a stubbed-LLM harness (output always fails schema validation): 183 provider calls for one conversion before the change (recursion only cut off by the Python stack limit, then retried by the outer
max_attemptsloop).Fix (ed1af62): the refit converter is now built with
agent=None(baseConverterunless a customconverter_clsis given), so aValidationErrorstays inside that converter'smax_attemptsloop and no nested agent-bearing converter can be constructed. Measured after: 12 provider calls (3 top attempts x (1 + 3 refit attempts)). The agent stamping that fixes #7984 is unchanged at the top level; refit recovery and refit self-retry scenarios still pass.Kickoff fallback fix (round 3, 2026-11-01)
Cursor Bugbot flagged (HIGH) that the kickoff
response_formatfallback in_build_lite_agent_outputstill built itsConverterwithout an agent, and that with the refit converter agent-less,get_output_converter's agent stamping was bypassed — so at this sitehandle_partial_jsonstill hit theTypeErrorand recoverable output still failed as aConverterError.Confirmed empirically with the same stubbed-LLM harness (prose output with no JSON object, so
handle_partial_jsonfalls through toconvert_with_instructions):TypeError: Agent must be provided if converter_cls is not specified.inside theConverterErrorchain on every attempt, no recovery;get_output_converter): the instructed refit round runs with the agent and recovers the structured output (2 calls);Fix (07116d4): the fallback converter is now built through
self.get_output_converter(...), so it carries the agent. One honest scoping note: at this site the refit round re-issues the LLM with the same messages asto_pydantic's own retry, so for a deterministic LLM the observable delta is the removedTypeErrorabort and the correct attempt budgeting (3 blind retries → up to 3 × 4 instructed rounds), not a new recovery capability — the recovery capability shows up as soon as the LLM's second round differs, which is the normal case for a real model.Fixes #7984