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fix(xai): map the provider finish reason instead of hardcoding stop - #1353
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Included review availability: Your plan provides up to 8 included reviews per hour; 5 remain after this review. WalkthroughThe xAI provider now maps finish reasons for streaming chunks and completed responses. Completed responses preserve truncation and termination reasons before applying tool-call or stop fallbacks. Unit tests cover these mappings and tool-call behaviour. ChangesxAI finish reason handling
Suggested reviewers: Merge Risk: ⚪ Minimal · up to The change correctly reports xAI termination reasons, including length limits, so downstream callers can distinguish truncated responses from normal completion. No actionable merge-blocking risk remains after normal checks and review. 🚥 Pre-merge checks | ✅ 4 | ❌ 1❌ Failed checks (1 warning)
✅ Passed checks (4 passed)
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Inline comments:
In `@tests/unit/providers/test_xai_provider.py`:
- Line 108: Update the test using mock_response.finish_reason to use
REASON_TIME_LIMIT, provide a non-empty tool_calls list, and assert that the
provider returns "tool_calls", ensuring the unmapped finish-reason fallback
branch is exercised.
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src/any_llm/providers/xai/utils.pytests/unit/providers/test_xai_provider.py
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The converter hardcoded stop (or tool_calls) on responses and None on every stream chunk, so a truncated xAI answer was indistinguishable from a complete one: the structured-output length check in AnyLLM never fired and callers driving a stream never saw why it ended. Map REASON_MAX_LEN and REASON_MAX_CONTEXT to length, REASON_STOP to stop and REASON_TOOL_CALLS to tool_calls, keeping the previous fallback for reasons with no OpenAI counterpart. Co-authored-by: Tony Coder <407243179@qq.com>
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Description
Re-creation of #1304 by @tonycoder-hub, which was closed as stale on 2026-08-21 without a review. His commit is cherry-picked unchanged,
Co-authored-bytrailer intact, onto current main, where it applies cleanly.From the original: the xAI converters hardcoded
finish_reason. Non-streaming usedtool_calls if tool_calls else stop, soREASON_MAX_LENandREASON_MAX_CONTEXTcame back as a cleanstopand_acompletion_with_structured_outputnever raisedLengthFinishReasonError. Streamed chunks hardcodedfinish_reason=None, so a stream never said why it ended.sample_pb2.FinishReasonis now mapped onto the OpenAI vocabulary in both converters, with truncation taking priority overtool_calls. Same shape as #1301 for Cohere, which merged.Verified live on this branch with
grok-4-1-fast-non-reasoning:finish_reasonmax_tokens=8length(main hardcodesstophere)stopmax_tokens=8, last chunklength(main hardcodesNonehere)Tests:
tests/unit/providers/test_xai_provider.py, 23 passed. Pre-commit clean.PR Type
Relevant issues
Supersedes #1304.
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AI Model used: Claude (Opus 5) for the rebase, live verification and this description. The commit itself is @tonycoder-hub's, authored with Cursor.
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Summary by CodeRabbit
Bug Fixes
Tests