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fix: keep the arguments of parallel Codex function calls - #245
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When one Codex-backend response holds several function calls, the backend sends no function_call_arguments.delta events: each call's arguments arrive only in function_call_arguments.done and output_item.done. Pydantic AI (through 2.54) reads function-call arguments only from deltas, so every call reached validation with empty arguments, the retry came back the same way, and the turn ended with "exceeded max retries count". The Codex stream wrapper now passes a done event's arguments on as one delta when that call received none, and leaves calls whose arguments streamed untouched. The compatibility test replays the recorded event shape. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
📝 WalkthroughWalkthroughThe Codex response stream now synthesizes a function-argument delta when a completion event has nonempty arguments and no earlier argument event was observed for that call. Compatibility tests cover parallel calls with completion-only and streamed arguments. ChangesCodex function-call arguments
Priority: ➖ Normal Estimated code review effort: 2 (Simple) | ~10 minutes Change: Bug fix · Severity of issue fixed: Medium Merge Risk: 🔵 Low · up to If the backend emits an empty delta before completed arguments, a tool call can still receive empty arguments. Fix this narrow case or explicitly accept it before merging. 🚥 Pre-merge checks | ✅ 4 | ❌ 1❌ Failed checks (1 warning)
✅ Passed checks (4 passed)
Full details: Docstring CoverageExplanation Docstring coverage is 10.00% which is insufficient. The required threshold is 80.00%. Docstring coverage is scoped to functions touched by this diff. Analyzed 10 functions across 2 files. (1 skipped: 1 unsupported.)
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- 🪄 Fix CodeRabbit comments on this PR
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Review comments at @src/assistant_runtime/services/llm/_codex_model.py:
- Around line 87-88: Update the response.function_call_arguments.delta handler
to add event.item_id to _calls_with_arguments only when event.delta is nonempty,
preserving the done-event fallback for calls that have only empty deltas.
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CHANGELOG.mdsrc/assistant_runtime/services/llm/_codex_model.pytests/compatibility/test_codex_fast.py
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An empty delta before a done event would suppress the fallback and leave the call with empty arguments. Raised in review. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
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Review record before merge: CodeRabbit reviewed through be28497 (1 finding, valid, fixed in e362234). Its automatic pass on e362234 was rate limited; its reply on the finding thread reviewed the e362234 change and confirmed the fix and its test. Codex |
Problem
When one response from the ChatGPT/Codex subscription backend holds several function calls, every call reached tool validation with empty arguments. Validation failed ("Field required"), the retry came back the same way, and the turn ended with
UnexpectedModelBehavior: Tool '…' exceeded max retries count of 1. Responses with a single call were unaffected.Cause
A captured stream for a two-call response (
gpt-6.1-sol) has noresponse.function_call_arguments.deltaevents. Each call's arguments arrive only inresponse.function_call_arguments.doneandresponse.output_item.done; theoutput_item.addeditem carriesarguments: "". Pydantic AI's Responses stream builds function-call arguments only from deltas and ignores both done events for function calls. That is the case in the locked 2.38.0 and in the latest 2.54.0, so upgrading does not help.Change
_ObservedCodexStream(the Codex stream wrapper that already observes each decoded event) now passes afunction_call_arguments.doneevent's arguments on as onefunction_call_arguments.deltawhen that call received no arguments, either on its added item or as deltas. Calls whose arguments streamed are left unchanged. Parsing and execution stay with Pydantic AI.src/assistant_runtime/services/llm/_codex_model.py: the fallback (+21/−2).tests/compatibility/test_codex_fast.py: the fixture accepts a recorded body; a new test replays the recorded shape (two done-only calls plus one streamed call) through the real Pydantic AI stream. It fails without the change (empty arguments) and passes with it.CHANGELOG.md: one Fixed entry.Verification
make checkon e362234: ruff clean, 3013 passed, 1 skipped.gpt-6-astra, high effort, separate read-only context. Round 1 (46e4eee): 0 findings. Round 2 (e362234, after the CodeRabbit fix): 0 findings.Closes #244
Part of #83
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