fix(core): preserve legacy OpenAI function calls - #6240
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Thanks for the PR! Template looks good ✓ — all required sections present with a detailed test plan and before/after evidence. On direction: clearly aligned. Nested sub-agents (#6189) made multi-level trees a normal case, and the web-shell's flat list is a real UX gap vs the TUI (#6191). Bringing parity between the two surfaces is a straightforward win — no question this belongs in the project. On approach: scope feels proportional. Twelve files, each with a clear role — daemon-side lineage capture, SDK/bridge types, tree helpers for the web-shell, component rendering, i18n. The Moving on to code review. 🔍 中文说明感谢贡献！ 模板完整 ✓ — 所有必填章节齐全，测试计划详尽，附有前后对比证据。 方向：明确对齐。嵌套子代理 (#6189) 使多层树成为常态，web-shell 的平铺列表相对 TUI (#6191) 存在真实的 UX 差距。两个界面之间的对齐是明确的胜利，毫无疑问属于项目范畴。 方案：范围合理。12 个文件各有明确职责——daemon 端谱系捕获、SDK/bridge 类型、web-shell 树形辅助函数、组件渲染、国际化。 进入代码审查 🔍 — Qwen Code · qwen3.7-max |
Code ReviewIndependent proposal: I'd add The implementation is clean and correct:
No critical blockers. No AGENTS.md violations. Code is minimal and well-placed. Test ResultsRan in worktree with PR changes applied: All 207 tests pass, including both new regression tests (non-streaming Tmux Real-User TestingN/A — this is internal converter logic with no TUI surface. The before/after is indistinguishable at the terminal level; the proof is in the unit tests above which directly validate the conversion pipeline. 中文说明代码审查独立方案：我会在 converter 中添加 实现简洁且正确：
无阻断问题，无 AGENTS.md 违规。代码精简且位置正确。 测试结果在 worktree 中应用 PR 后运行：
全部 207 个测试通过，包括两个新增的回归测试。 Tmux 真实用户测试不适用——这是内部转换逻辑，没有 TUI 界面变化。证明在上面的单元测试中。 — Qwen Code · qwen3.7-max |
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Stepping back: this is exactly the kind of PR I want to see from a fork contributor. Small, focused, well-tested, and solving a real interop problem. The motivation is genuine — legacy My independent proposal was identical to what was implemented — which tells me the approach is the natural, minimal solution. All 207 tests pass. No code review concerns. The diff is 16 lines of production code and 117 lines of tests — the right ratio. Approving. ✅ 中文说明退后一步看：这正是我希望从 fork 贡献者那里看到的 PR。小而聚焦、测试充分、解决了真实的互操作问题。 动机是真实的——来自 OpenAI-compatible provider 的旧版 我的独立方案与实现完全一致——说明这是最自然、最精简的解法。全部 207 个测试通过，代码审查无问题。16 行生产代码 + 117 行测试——正确的比例。 批准。✅ — Qwen Code · qwen3.7-max |
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LGTM, looks ready to ship. ✅
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No review findings. Downgraded from Approve to Comment: CI failing: Post Coverage Comment, Test (ubuntu-latest, Node 22.x).
— qwen3.7-max via Qwen Code /review
| } | ||
| } else if (choice.message.function_call) { | ||
| const functionCall = choice.message.function_call; | ||
| parts.push({ |
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[Suggestion] The non-streaming function_call path pushes a functionCall part without checking functionCall.name for truthiness. The streaming path guards with if (toolCall.name) before emitting (via getCompletedToolCalls), so a legacy response with name: null or name: "" would produce a broken part in the non-streaming path while being silently dropped in the streaming path.
| parts.push({ | |
| } else if (choice.message.function_call) { | |
| const functionCall = choice.message.function_call; | |
| if (functionCall.name) { | |
| parts.push({ | |
| functionCall: { | |
| id: `call_${Date.now()}_${Math.random().toString(36).substring(2, 9)}`, | |
| name: functionCall.name, | |
| args: safeJsonParse(functionCall.arguments ?? '', {}), | |
| }, | |
| }); | |
| } | |
| } |
— qwen3.7-max via Qwen Code /review
| function_call: { | ||
| name: 'read_file', | ||
| arguments: '{"path"', | ||
| }, |
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[Suggestion] The first streaming chunk includes both name and arguments simultaneously. Real legacy OpenAI streams typically send {name: 'read_file'} in the first chunk with no arguments, then argument-only chunks after. The production code handles this correctly (functionCall.arguments ?? '' produces an empty string that addChunk appends to an empty buffer without triggering a parse), but this realistic shape is never exercised by the test.
Consider splitting the first chunk into a name-only opener:
delta: {
function_call: {
name: 'read_file',
},
},followed by argument-only chunks. This verifies the ?? '' nullish coalescing path works as intended.
— qwen3.7-max via Qwen Code /review
| }); | ||
| } | ||
| } | ||
| } else if (choice.message.function_call) { |
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[Suggestion] The if (choice.message.tool_calls) guard at line 1118 uses a plain truthy check. An empty array [] is truthy in JavaScript, so this else if branch is silently skipped when a provider sends tool_calls: [] alongside a populated function_call. This defeats the entire purpose of the legacy fallback that this PR adds.
The same issue exists at line 1287 for the streaming path (if (choice.delta?.tool_calls)).
| } else if (choice.message.function_call) { | |
| } else if (choice.message.function_call && !choice.message.tool_calls?.length) { | |
| const functionCall = choice.message.function_call; |
And similarly for the streaming guard at line 1287: change if (choice.delta?.tool_calls) to if (choice.delta?.tool_calls?.length).
— qwen3.7-max via Qwen Code /review
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Addressed in e230917. I changed both modern tool-call guards to require a non-empty tool_calls array, so an empty tool_calls: [] no longer blocks the legacy function_call fallback. I also added regression coverage for both non-streaming and streaming empty-array cases.
| expect(result.candidates?.[0]?.finishReason).toBe(FinishReason.MAX_TOKENS); | ||
| }); | ||
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| it('should convert legacy streaming function_call chunks to Gemini function calls', () => { |
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[Suggestion] This test covers the happy path (well-formed JSON arguments), but there is no test for the truncation-detection path. Despite being inside the describe('Truncated tool call detection in streaming') block, the legacy function_call path is not tested with incomplete arguments. A truncated legacy stream — e.g., arguments '{"path"' with finish_reason: 'function_call' and no closing brace — should produce FinishReason.MAX_TOKENS instead of FinishReason.STOP via the same hasIncompleteToolCalls() override at converter.ts ~line 1325.
Consider adding a test that sends incomplete arguments and asserts the truncation override fires.
— qwen3.7-max via Qwen Code /review
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Addressed in e230917. I added a legacy streaming function_call truncation regression where incomplete JSON arguments with finish_reason: 'function_call' now go through the existing incomplete-tool-call detection and return FinishReason.MAX_TOKENS.
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— qwen3.7-max via Qwen Code /review
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| // Handle tool calls | ||
| if (choice.message.tool_calls) { | ||
| if (choice.message.tool_calls?.length) { |
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[Suggestion] When tool_calls is non-empty AND function_call also exists, the legacy call is silently dropped with no warning log. While uncommon, a provider using both fields for different tools would lose the legacy invocation silently.
Consider adding a debug log to aid troubleshooting:
| if (choice.message.tool_calls?.length) { | |
| if (choice.message.tool_calls?.length) { | |
| if (choice.message.function_call) { | |
| debugLogger?.debug('Ignoring legacy function_call because tool_calls is non-empty'); | |
| } | |
| for (const toolCall of choice.message.tool_calls) { |
— qwen3.7-max via Qwen Code /review
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Addressed in d0ced77. I kept modern tool_calls as the authoritative path when non-empty, and added a debug log for the mixed tool_calls + legacy function_call case so the ignored legacy field is visible during troubleshooting without changing conversion semantics.
| }); | ||
| } | ||
| } | ||
| } else if (choice.message.function_call) { |
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[Suggestion] The legacy fallback paths (both non-streaming and streaming) don't emit debug logs, while the file uses debugLogger extensively elsewhere (11 other locations). This makes production debugging difficult — the only evidence the legacy path fired is a synthetic call_<timestamp>_<random> ID, which is indistinguishable from the streaming path's own fallback ID.
Consider adding debug logs at the entry of each legacy branch:
| } else if (choice.message.function_call) { | |
| } else if (choice.message.function_call) { | |
| debugLogger?.debug('Using legacy function_call fallback (non-streaming)', { | |
| name: choice.message.function_call.name, | |
| }); | |
| const functionCall = choice.message.function_call; |
And similarly for the streaming path at line ~1309.
— qwen3.7-max via Qwen Code /review
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Addressed in d0ced77. I added narrow debug logs at both legacy fallback entry points: non-streaming message.function_call and streaming delta.function_call. The fallback behavior remains unchanged apart from the diagnostic logging.
| const functionCall = choice.delta.function_call; | ||
| toolCallParser.addChunk( | ||
| 0, | ||
| functionCall.arguments ?? '', |
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[Critical] Streaming legacy function_call silently drops tool calls with no arguments. When functionCall.arguments is null/undefined/empty, toolCallParser.addChunk(0, '', undefined, name) leaves the parser buffer empty. getCompletedToolCalls() at streamingToolCallParser.ts:268 requires buffer.trim() to be truthy — so the function call is never emitted. This means tools with zero parameters (e.g., get_current_time) are silently lost in streaming mode, while the non-streaming path correctly handles them via safeJsonParse('', {}) → {}.
| functionCall.arguments ?? '', | |
| } else if (choice.delta?.function_call) { | |
| const functionCall = choice.delta.function_call; | |
| toolCallParser.addChunk( | |
| 0, | |
| functionCall.arguments || '{}', | |
| undefined, | |
| functionCall.name, | |
| ); | |
| } |
— qwen3.7-max via Qwen Code /review
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Addressed in 9604bd0. I normalized name-only legacy streaming chunks to {} via getLegacyFunctionCallChunk(), so zero-argument legacy function_call streams now emit a completed Gemini functionCall instead of being dropped by the parser. The behavior is covered by the legacy streaming function_call without arguments regression case.
| }); | ||
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| it('keeps the estimated prompt/completion split summing to total tokens', () => { | ||
| // When a provider reports only total_tokens, the 70/30 estimate must |
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[Suggestion] No test verifies that tool_calls with actual entries takes priority over a simultaneously present function_call. The else if branch makes tool_calls authoritative, but this core precedence guarantee is untested. Consider adding both a non-streaming and streaming test where tool_calls has a valid entry alongside function_call, asserting only tool_calls appears in the output parts.
— qwen3.7-max via Qwen Code /review
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Addressed in dfde5a0. I added explicit non-streaming and streaming regression coverage for the precedence invariant: when modern tool_calls is non-empty and legacy function_call is also present, only the modern tool_calls payload is converted.
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— qwen3.7-max via Qwen Code /review
| ); | ||
| toolCallParser.addChunk( | ||
| 0, | ||
| functionCall.arguments ?? '', |
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[Critical] Streaming legacy function_call silently drops tool calls with no arguments. When functionCall.arguments is null/undefined/empty (as for zero-parameter tools like get_current_time), toolCallParser.addChunk(0, '', undefined, name) leaves the parser buffer empty. getCompletedToolCalls() gates on buffer.trim() being truthy, so the tool call is silently discarded.
The non-streaming legacy path handles this correctly via parseToolCallArgs (which defaults to {}), creating an asymmetry where zero-argument tools work in non-streaming mode but are silently lost in streaming mode.
| functionCall.arguments ?? '', | |
| functionCall.arguments || '{}', |
— qwen3.7-max via Qwen Code /review
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Addressed in 9604bd0 as well. The streaming legacy path now feeds {} when a chunk has a function name but no arguments, matching the non-streaming object-shaped args behavior and preventing zero-parameter tool calls from being lost.
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Downgraded from Approve to Comment: CI failing (Post Coverage Comment, Test ubuntu-latest Node 22.x). Two minor suggestions below. — qwen3.7-max via Qwen Code /review
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| expect(response.candidates).toEqual([]); | ||
| }); | ||
| it('should fall back to empty args when legacy function_call arguments are not valid JSON', () => { |
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[Suggestion] The three standalone it blocks here ("should fall back to empty args when legacy function_call arguments are not valid JSON", "should default to empty args when legacy function_call has no arguments field", "should include both text content and legacy function_call when both are present") test the exact same scenarios that are already covered by the parametrized "should handle defensive legacy function_call argument cases" test below. The parametrized test uses the same inputs and assertions (with stronger finishReason checks), making these ~120 lines redundant.
Consider removing these three standalone it blocks and keeping only the parametrized version to avoid maintaining duplicate test expectations.
— qwen3.7-max via Qwen Code /review
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Addressed by the 9604bd0 refactor. The standalone defensive legacy tests were collapsed into the parametrized matrix, which keeps the invalid-JSON, missing-arguments, and text-plus-function_call scenarios without duplicating expectations.
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| // Handle tool calls using the stream-local parser | ||
| if (choice.delta?.tool_calls) { | ||
| if (choice.delta?.tool_calls?.length) { |
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[Suggestion] The non-streaming path (line ~1125) logs "Ignoring legacy function_call ... because tool_calls is non-empty" when both tool_calls and function_call coexist. The streaming path has no equivalent guard or log here — if a provider sends both fields in a streaming delta, the function_call is silently discarded with no diagnostic trace.
Consider adding the same check for consistency:
if (choice.delta?.tool_calls?.length) {
if (choice.delta.function_call) {
debugLogger.debug(
`Ignoring legacy function_call "${choice.delta.function_call.name}" because tool_calls is non-empty`,
);
}
for (const toolCall of choice.delta.tool_calls) {— qwen3.7-max via Qwen Code /review
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Addressed in e519feb. I added the matching streaming diagnostic log when a delta contains non-empty modern tool_calls plus legacy function_call, preserving the same precedence semantics while making the ignored legacy field visible during debugging.
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I stepped back from the individual patch suggestions and reworked this around the core invariant we actually want to preserve: modern The previous direction was starting to accumulate one-off fixes around each edge case, which made the converter harder to reason about. The latest refactor tries to reduce that surface area instead of adding more branches: shared argument parsing, shared non-streaming part construction, and a narrow streaming helper for the legacy name-only / zero-argument case. I also collapsed the defensive test cases into behavior matrices so the tests describe the expected semantics rather than repeating large response payloads. The goal is to keep this PR focused on the original bug while making the compatibility rules explicit enough that future review suggestions do not keep layering more ad-hoc code on top. Latest validation on the pushed head: GitHub CI also passed on |
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Please do not rebase or force-push to an active PR as it invalidates existing review comments. Note for future reference, the bots always squash all changes into a single commit automatically as part of the integration. 中文请勿对活跃的 PR 执行 rebase 或 force-push，因为这会使已有的评审评论失效。另外，供日后参考：作为集成流程的一部分，机器人始终会自动将所有改动压缩（squash）为单个提交。 |
Preserve legacy OpenAI-compatible function_call responses by converting non-streaming and streaming legacy payloads into the same Gemini functionCall shape used by modern tool_calls. Modern tool_calls remains authoritative when non-empty. Legacy function_call is only used as a compatibility fallback, including zero-argument streaming calls and malformed or missing argument payloads. Co-authored-by: qwen-code-ci-bot <qwen-code-ci@service.alibaba.com>
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| function getLegacyFunctionCallChunk( | ||
| functionCall: OpenAI.Chat.ChatCompletionChunk.Choice.Delta.FunctionCall, | ||
| ): string { | ||
| return functionCall.arguments ?? (functionCall.name ? '{}' : ''); |
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[Critical] getLegacyFunctionCallChunk returns '{}' when a streaming delta has name but no arguments. This '{}' is appended to the StreamingToolCallParser buffer at index 0, reaching depth 0 with valid JSON. When a subsequent chunk arrives with real arguments (e.g. '{"path":"README.md"}'), it is appended to the same buffer, producing '{}{"path":"README.md"}' — invalid JSON. safeJsonParse falls back to {}, silently discarding the real arguments. The tool call executes with empty args instead of the intended parameters.
The existing tests don't catch this because every multi-chunk test case provides arguments on the first chunk, and the single name-only test ({name: 'ping'}) has no subsequent argument chunks.
| return functionCall.arguments ?? (functionCall.name ? '{}' : ''); | |
| function getLegacyFunctionCallChunk( | |
| functionCall: OpenAI.Chat.ChatCompletionChunk.Choice.Delta.FunctionCall, | |
| ): string { | |
| return functionCall.arguments ?? ''; | |
| } |
This matches the modern tool_calls path (line 1330) which passes '' for metadata-only chunks. The '{}' fallback for truly argument-less calls is already handled by getCompletedToolCalls when the buffer is empty at finalization time.
— qwen3.7-max via Qwen Code /review
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Thanks for the careful catch. Addressed in 4129bad4f: getLegacyFunctionCallChunk() now appends only real argument deltas (functionCall.arguments ?? ''), so a name-only opener no longer corrupts later argument chunks into {} + payload.
I also updated the streaming regression matrix to use the realistic shape: first chunk carries only name, followed by argument-only chunks. Zero-argument legacy streaming calls are preserved separately at finalization, so we avoid pre-filling the shared parser buffer while still emitting {} for true no-argument calls.
Validation:
wsl -e bash -lc 'cd /mnt/d/ZXY/Github/qwen-code && npm exec -- vitest run src/core/openaiContentGenerator/converter.test.ts'
# 146 passed
wsl -e bash -lc 'cd /mnt/d/ZXY/Github/qwen-code && npm exec -- vitest run src/core/openaiContentGenerator/streamingToolCallParser.test.ts'
# 60 passed
wsl -e bash -lc 'cd /mnt/d/ZXY/Github/qwen-code && npm run build --workspace=packages/core'
# passed
| } else if (choice.delta?.function_call) { | ||
| const functionCall = choice.delta.function_call; | ||
| debugLogger.debug( | ||
| `Using legacy function_call fallback (streaming): ${functionCall.name ?? '<pending>'}`, |
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[Suggestion] This debug log fires on every streaming chunk that carries a function_call delta, not just the first (name-bearing) chunk. For a typical tool call with arguments fragmented across 5-15 chunks, this produces repetitive log lines (most showing <pending> for continuation chunks).
| `Using legacy function_call fallback (streaming): ${functionCall.name ?? '<pending>'}`, | |
| if (functionCall.name) { | |
| debugLogger.debug( | |
| `Using legacy function_call fallback (streaming): ${functionCall.name}`, | |
| ); | |
| } |
— qwen3.7-max via Qwen Code /review
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Addressed in 4129bad4f. The streaming legacy fallback log now only fires on name-bearing chunks:
if (functionCall.name) {
debugLogger.debug(
`Using legacy function_call fallback (streaming): ${functionCall.name}`,
);
}Continuation chunks that only carry fragmented arguments no longer produce repetitive <pending> debug lines.
| function createFunctionCallPart( | ||
| name: string, | ||
| argsJson?: string | null, | ||
| id = `call_${Date.now()}_${Math.random().toString(36).substring(2, 9)}`, |
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[Suggestion] The ID generation pattern `call_${Date.now()}_${Math.random().toString(36).substring(2, 9)}` appears in both createFunctionCallPart (line 1094) and the streaming emission fallback (line 1365). If one format changes without the other, IDs diverge between streaming and non-streaming paths. Consider extracting a shared helper (e.g., generateToolCallId()) to keep the two sites in sync.
— qwen3.7-max via Qwen Code /review
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Addressed in 4129bad4f. I extracted the repeated fallback ID expression into generateToolCallId() and now use it from both createFunctionCallPart() and the streaming emission fallback, so non-streaming and streaming legacy paths stay in sync if the generated ID format changes later.
| function getLegacyFunctionCallChunk( | ||
| functionCall: OpenAI.Chat.ChatCompletionChunk.Choice.Delta.FunctionCall, | ||
| ): string { | ||
| return functionCall.arguments ?? (functionCall.name ? '{}' : ''); |
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[Critical] getLegacyFunctionCallChunk() still injects '{}' when the first legacy streaming chunk carries only function_call.name. Real OpenAI-compatible streams commonly send the name in one delta and arguments in later deltas; with the current code the parser buffer becomes '{}{"path":"README.md"}', parsing falls back to {}, and the tool executes with empty arguments instead of the streamed payload. The new tests cover name+arguments in the same chunk and name-only with no later arguments, but not the name-only opener followed by argument chunks.
| return functionCall.arguments ?? (functionCall.name ? '{}' : ''); | |
| return functionCall.arguments ?? ''; |
-- GPT-5 via Codex /review
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Addressed in 4129bad4f. The first legacy streaming test case now uses the real split shape: a name-only opener followed by argument-only chunks. This specifically verifies that the parser buffer receives '' for metadata-only legacy chunks and then accumulates the real arguments without corrupting them.
Avoid pre-filling name-only legacy function_call chunks with empty JSON before argument chunks arrive. Keep generated tool-call IDs consistent across legacy streaming and non-streaming paths, and reduce streaming fallback debug noise to name-bearing chunks. Co-authored-by: qwen-code-ci-bot <qwen-code-ci@service.alibaba.com>
| { | ||
| name: 'truncated legacy streaming function_call', | ||
| chunks: [{ name: 'read_file', arguments: '{"path"' }], | ||
| expectedFinishReason: FinishReason.MAX_TOKENS, |
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[Suggestion] The "truncated legacy streaming function_call" test case omits expectedParts, so the if (expectedParts) guard skips the parts assertion entirely. A bug that emits partial function call parts alongside MAX_TOKENS would pass undetected.
| expectedFinishReason: FinishReason.MAX_TOKENS, | |
| name: 'truncated legacy streaming function_call', | |
| chunks: [{ name: 'read_file', arguments: '{"path"' }], | |
| expectedFinishReason: FinishReason.MAX_TOKENS, | |
| expectedParts: [], | |
| }, |
— qwen3.7-max via Qwen Code /review
| chunks: [{ name: 'ping' }], | ||
| expectedFinishReason: FinishReason.STOP, | ||
| expectedParts: [legacyFunctionCallPart('ping', {})], | ||
| }, |
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[Suggestion] No streaming test sends chunks where delta.content and delta.function_call coexist. The non-streaming "text content plus legacy function_call" test covers this combination, but the streaming path does not. Consider adding a parametrized streaming case where a chunk includes both content and function_call, asserting the output contains both a text part and a functionCall part.
— qwen3.7-max via Qwen Code /review
| return parseTaggedThinkingText(text); | ||
| } | ||
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| function parseToolCallArgs(argsJson?: string | null): Record<string, unknown> { |
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[Suggestion] parseToolCallArgs silently returns {} when safeJsonParse falls back for invalid JSON, with no debug log entry. When a legacy provider sends malformed arguments, the tool executes with empty args and the operator has no diagnostic trail — even with QWEN_DEBUG_LOG_FILE enabled.
| function parseToolCallArgs(argsJson?: string | null): Record<string, unknown> { | |
| function parseToolCallArgs(argsJson?: string | null): Record<string, unknown> { | |
| if (!argsJson) return {}; | |
| const parsed = safeJsonParse<unknown>(argsJson, {}); | |
| if (parsed && typeof parsed === 'object' && !Array.isArray(parsed)) { | |
| return parsed as Record<string, unknown>; | |
| } | |
| if (argsJson.trim()) { | |
| debugLogger.debug( | |
| `Failed to parse tool call arguments, using {}: "${argsJson.slice(0, 200)}"`, | |
| ); | |
| } | |
| return {}; | |
| } |
— qwen3.7-max via Qwen Code /review
| modalities: InputModalities; | ||
| startTime: number; | ||
| toolCallParser?: StreamingToolCallParser; | ||
| legacyFunctionCallWithoutArguments?: { name: string }; |
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[Suggestion] This field has four write sites forming an undocumented state machine coupled to StreamingToolCallParser's buffer state. The invariant — this flag must be cleared whenever the parser's buffer for the call is non-empty (i.e. when getCompletedToolCalls() will independently emit it) — is correct today but fragile. A future change to either the clearing logic or the parser's buffer handling could cause duplicate functionCall emission without any runtime error surfacing the duplication.
Consider adding JSDoc documenting the invariant and all transition points:
/**
* Sentinel for legacy `function_call` (pre-tool_calls) streaming.
* Set when a name-only delta arrives; cleared when arguments arrive
* OR when getCompletedToolCalls() emits the call from the parser.
*
* INVARIANT: this flag MUST be cleared whenever the parser's buffer
* for this call is non-empty. Violating this causes duplicate emission.
*/
legacyFunctionCallWithoutArguments?: { name: string };— qwen3.7-max via Qwen Code /review
| `call_${Date.now()}_${Math.random().toString(36).substring(2, 9)}`, | ||
| id: toolCall.id || generateToolCallId(), | ||
| name: toolCall.name, | ||
| args: toolCall.args, |
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[Suggestion] toolCall.args from getCompletedToolCalls() bypasses the parseToolCallArgs type guard (typeof === 'object' && !Array.isArray()). For malformed input, jsonrepair can produce non-object values (e.g. a string), so the streaming path would emit args as a runtime string while the non-streaming path correctly emits {}. Downstream consumers reading args as Record<string, unknown> would see inconsistent behavior depending on which response path the provider used.
Consider applying the same guard inline:
args: toolCall.args && typeof toolCall.args === 'object' && !Array.isArray(toolCall.args)
? toolCall.args
: {},— qwen3.7-max via Qwen Code /review
|
@qqqys 兄弟，你们阿里凌晨 3 点都不睡觉吗？还是说熬夜看球啊 :) |
| name: 'truncated legacy streaming function_call', | ||
| chunks: [{ name: 'read_file', arguments: '{"path"' }], | ||
| expectedFinishReason: FinishReason.MAX_TOKENS, | ||
| expectedParts: [], |
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[Critical] The expectedParts: [] assertion contradicts the converter's actual behavior. The converter's established pattern (consistent with the modern tool_calls path — see the "should still emit the (repaired) function call even when truncated" test at line ~5224) is to emit repaired tool calls even when truncation is detected, while overriding the finish reason to MAX_TOKENS.
Running the test suite confirms: 146 passed | 1 failed — this test fails because getCompletedToolCalls() repairs '\{"path"' via jsonrepair into {path: null} and emits it as a part.
| expectedParts: [], | |
| expectedParts: [legacyFunctionCallPart('read_file', { path: null })], |
— qwen3.7-max via Qwen Code /review
| // Some providers (e.g. DashScope/Qwen) send "stop" or "tool_calls" | ||
| // even when output was cut off mid-JSON due to max_tokens. | ||
| toolCallsTruncated = toolCallParser.hasIncompleteToolCalls(); | ||
| const legacyFunctionCallTruncated = |
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[Critical] Name-only legacy function_call + stream truncation produces a spurious zero-argument tool call.
When a legacy streaming delta carries only { name: 'read_file' } with no arguments chunks, and the stream is truncated (finish_reason: 'length'), hasIncompleteToolCalls() returns false because the parser buffer at index 0 is empty (depth=0, inString=false). This means legacyFunctionCallTruncated stays false, and the zero-arg fallback at lines 1412-1421 emits a functionCall part with args: {} — even though the real arguments were likely cut off by max_tokens.
The downstream consumer receives a valid-looking read_file({}) call instead of a truncation signal.
| const legacyFunctionCallTruncated = | |
| toolCallsTruncated = toolCallParser.hasIncompleteToolCalls(); | |
| const legacyFunctionCallTruncated = | |
| (toolCallsTruncated || choice.finish_reason === 'length') && | |
| requestContext.legacyFunctionCallInProgress; |
— qwen3.7-max via Qwen Code /review
| id: toolCall.id || generateToolCallId(), | ||
| name: toolCall.name, | ||
| args: toolCall.args, | ||
| args: normalizeToolCallArgs(toolCall.args), |
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[Suggestion] normalizeToolCallArgs(toolCall.args) silently converts non-object parser output (e.g., a JSON string or array from safeJsonParse) to {} with no diagnostic. The non-streaming path goes through parseToolCallArgs which logs via debugLogger.debug when normalization discards data, but this streaming path has no equivalent log.
Consider routing through parseToolCallArgs (re-serializing with JSON.stringify(toolCall.args)) or adding a debug log when the input is discarded, so operators can detect provider-side argument format issues.
— qwen3.7-max via Qwen Code /review
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The legacy streaming function_call corruption I flagged is fixed at the current head; I did not find a new critical blocker.
— GPT-5 Codex via Qwen Code /review
Keep repaired partial legacy streaming calls aligned with modern tool_calls while suppressing the name-only zero-argument fallback when the legacy stream ends with finish_reason=length. Also add a debug diagnostic when streaming parser output is normalized from a non-object value to an empty args object. Suggested-by: qwen-code-ci-bot <qwen-code-ci@service.alibaba.com> Suggested-by: qqqys <266654365+qqqys@users.noreply.github.com>
Limit non-object argument discard diagnostics to the streaming emission path and update the legacy function_call state-machine comment to match the current truncation behavior. Suggested-by: qwen-code-ci-bot <qwen-code-ci@service.alibaba.com> Suggested-by: qqqys <266654365+qqqys@users.noreply.github.com>
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No review findings. Downgraded from Approve to Comment: CI failing (Post Coverage Comment, Test ubuntu-latest Node 22.x). The CI failures appear unrelated to the converter changes — the PR author noted pre-existing typecheck failures in unchanged files.
— qwen3.7-max via Qwen Code /review
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The legacy streaming function_call corruption I previously flagged remains fixed at the current head after the latest merge. I did not find a new critical blocker.
| // (turn.ts) correctly sets wasOutputTruncated=true. | ||
| const effectiveFinishReason = | ||
| toolCallsTruncated && choice.finish_reason !== 'length' | ||
| (toolCallsTruncated || legacyFunctionCallNameOnlyTruncated) && |
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[Suggestion] No debug log is emitted when legacyFunctionCallNameOnlyTruncated overrides the finish reason to 'length'. An operator debugging truncation would see wasOutputTruncated=true downstream without any converter-level log indicating that the converter — not the provider — made this decision.
Consider adding a log when the override fires:
if (legacyFunctionCallNameOnlyTruncated && choice.finish_reason !== 'length') {
debugLogger.debug(
`Overriding finish_reason "${choice.finish_reason}" to "length": legacy function_call has name but no arguments`,
);
}— qwen3.7-max via Qwen Code /review
| // Handle tool calls using the stream-local parser | ||
| if (choice.delta?.tool_calls) { | ||
| if (choice.delta?.tool_calls?.length) { | ||
| requestContext.legacyFunctionCallWithoutArguments = undefined; |
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[Suggestion] When modern tool_calls takes precedence over legacy function_call mid-stream, the RequestContext flags are cleared here but the StreamingToolCallParser's internal buffer at index 0 is not reset. Since legacy chunks are fed into the parser at hardcoded index 0 with id: undefined, the parser's collision guard (existingMeta?.id && existingMeta.id !== id) doesn't fire — subsequent modern tool_calls chunks at index 0 would append to stale legacy argument data, producing corrupted arguments.
StreamingToolCallParser already has a resetIndex(0) method. Consider calling it alongside the flag clearing:
requestContext.legacyFunctionCallWithoutArguments = undefined;
requestContext.legacyFunctionCallInProgress = undefined;
toolCallParser.resetIndex(0);Low practical risk (providers don't switch protocols mid-stream), but a one-line defensive fix closes the gap entirely.
— qwen3.7-max via Qwen Code /review
Reset the legacy function_call parser buffer when modern tool_calls take over after legacy streaming state, and add a regression test covering stale legacy argument data before modern tool_calls. Also log when the converter suppresses the name-only legacy fallback or overrides a provider finish reason because tool call arguments were truncated. Suggested-by: qwen-code-ci-bot <qwen-code-ci@service.alibaba.com> Suggested-by: qqqys <266654365+qqqys@users.noreply.github.com>
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— qwen3.7-max via Qwen Code /review
| parts.push( | ||
| createFunctionCallPart( | ||
| toolCall.function.name, | ||
| toolCall.function.arguments, |
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[Suggestion] normalizeToolCallArgs silently rejects non-object JSON in the modern tool_calls path too — a behavioral change from the pre-existing code.
The old modern path used safeJsonParse(toolCall.function.arguments, {}) which passed through whatever JSON.parse returned. The refactored code routes through parseToolCallArgs → normalizeToolCallArgs, which rejects arrays and scalars to {}. While non-object arguments are unusual, a provider sending "arguments": "[1,2,3]" would now have args silently zeroed with only a debug-level log as evidence.
Consider applying normalizeToolCallArgs only in the legacy fallback path, or preserving the old pass-through behavior for the modern path to avoid an unintended behavioral change outside this PR's scope.
— qwen3.7-max via Qwen Code /review
| ); | ||
| } | ||
| } | ||
| } else if (choice.message.function_call) { |
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[Suggestion] The non-streaming legacy function_call path accesses functionCall.name without a truthiness guard, while the streaming path (line 1389) checks if (functionCall.name) before using it.
A non-conforming provider sending function_call: { arguments: "..." } without a name would produce a functionCall part with name: undefined, breaking downstream tool routing.
| } else if (choice.message.function_call) { | |
| } else if (choice.message.function_call?.name) { | |
| const functionCall = choice.message.function_call; |
— qwen3.7-max via Qwen Code /review
Keep non-streaming modern tool_calls on the pre-existing permissive argument parsing path while leaving legacy function_call fallback on the stricter normalization path. Also guard non-streaming legacy function_call fallback on a present name so malformed legacy payloads cannot emit an unroutable functionCall. Suggested-by: qwen-code-ci-bot <qwen-code-ci@service.alibaba.com> Suggested-by: qqqys <266654365+qqqys@users.noreply.github.com>
|
@qwen-code-ci-bot Thanks again for the careful follow-up review. I addressed the latest converter feedback in
Local validation run from WSL: Could you please re-review when convenient? |
| id: toolCall.id || generateToolCallId(), | ||
| name: toolCall.name, | ||
| args: toolCall.args, | ||
| args: normalizeToolCallArgs(toolCall.args, true), |
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[Critical] normalizeToolCallArgs(toolCall.args, true) is applied to ALL completed tool calls from StreamingToolCallParser.getCompletedToolCalls(), including modern tool_calls. Before this PR, the code was args: toolCall.args (passthrough). The non-streaming modern path uses parseModernToolCallArgs which preserves non-object args (arrays, scalars) via raw safeJsonParse. This creates a streaming-vs-non-streaming behavioral inconsistency:
- Non-streaming modern
tool_callswith args'[1,2,3]'→ preserves[1,2,3](tested and intentional) - Streaming modern
tool_callswith args'[1,2,3]'→ silently becomes{}(untested regression)
StreamingToolCallParser.getCompletedToolCalls() declares args: Record<string, unknown> but internally does JSON.parse(buffer) which can produce any JSON value at runtime. No existing test covers modern streaming with non-object arguments, so this regression is invisible to the test suite.
| args: normalizeToolCallArgs(toolCall.args, true), | |
| args: toolCall.args, |
If normalization is intentionally desired for the legacy path only, conditionally apply it:
args: requestContext.legacyFunctionCallInProgress
? normalizeToolCallArgs(toolCall.args, true)
: toolCall.args,Add a streaming test with modern tool_calls carrying array arguments to prevent regression either way.
— qwen3.7-max via Qwen Code /review
| requestContext.legacyFunctionCallWithoutArguments = undefined; | ||
| requestContext.legacyFunctionCallInProgress = undefined; | ||
| if (hadLegacyFunctionCallState) { | ||
| toolCallParser.resetIndex(0); |
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[Suggestion] resetIndex(0) clears buffers, depths, inStrings, escapes, and toolCallMeta at index 0, but does not purge idToIndexMap entries pointing to that index. The full reset() method does clear idToIndexMap (line 407 of streamingToolCallParser.ts), so this is an inconsistency between the two reset methods.
In a stream that goes modern → legacy → modern, a stale idToIndexMap entry from the first modern call survives the resetIndex(0) and could misroute a later chunk carrying the same ID to the reset index, corrupting the new tool call's buffer.
Low practical risk since legacy function_call deltas don't carry IDs, but worth hardening:
| toolCallParser.resetIndex(0); | |
| toolCallParser.resetIndex(0); | |
| // Note: consider also purging idToIndexMap entries pointing to index 0 | |
| // in StreamingToolCallParser.resetIndex() for consistency with reset() |
Or update StreamingToolCallParser.resetIndex() to purge idToIndexMap entries for the reset index, matching the behavior of reset().
— qwen3.7-max via Qwen Code /review
|
Closing this PR for now. Thanks for the reviews and feedback. |
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No review findings. Downgraded from Approve to Comment: CI still running.
— qwen3.7-max via Qwen Code /review
|
@qqqys 哥们怎么回事啊，我 PR 都关了这 ci-bot 还在追我...... 阿里的 Tokens 是不要钱的吗 :( 其实本来这就是一个很小的 100 行以内的改动，硬是在这个 bot 的要求下开始堆屎山了。这些没意义的代码都是项目的负资产和屎山；为了 qwen-code 的可维护性，我把这个 PR 给关了。 这个 ci-bot 我感觉你们可能还得调一下啊，是不是有点太严苛了.....而且我 PR 都 closed 了，还在跑 CI.... |
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What this PR does
This PR preserves legacy OpenAI Chat Completions function calls when converting OpenAI-compatible responses back into Gemini content. Non-streaming
message.function_callresponses now become GeminifunctionCallparts, and streamingdelta.function_callchunks are accumulated through the existing stream-local tool-call parser.Why it's needed
What Problem This Solves
Some OpenAI-compatible providers, gateways, or proxies can still emit the legacy Chat Completions function-call shape instead of the newer
tool_callsarray. In that legacy shape, a non-streaming response carries the requested tool call onchoice.message.function_call, for example:{ "choices": [ { "message": { "role": "assistant", "function_call": { "name": "read_file", "arguments": "{\"path\":\"README.md\"}" } }, "finish_reason": "function_call" } ] }Before this change,
OpenAIContentConverter.convertOpenAIResponseToGemini(...)only inspectedchoice.message.tool_calls. If a provider returned the valid legacymessage.function_callfield, the converter could produce a Gemini candidate without afunctionCallpart. From the user's point of view, that failure can look like an empty or non-actionable assistant response, even though the model actually requested a tool call.The same compatibility gap also exists for streaming chunks. Legacy streaming responses can send function-call data through
choice.delta.function_call, often with the name and arguments split across chunks, for example:{ "choices": [{ "delta": { "function_call": { "name": "read_file" } } }] } { "choices": [{ "delta": { "function_call": { "arguments": "{\"path\":" } } }] } { "choices": [{ "delta": { "function_call": { "arguments": "\"README.md\"}" } }, "finish_reason": "function_call" }] }Before this change,
OpenAIContentConverter.convertOpenAIChunkToGemini(...)only inspectedchoice.delta.tool_calls, so those legacydelta.function_callfragments could be ignored instead of being accumulated into a GeminifunctionCallpart.Changes
This PR keeps the existing modern
message.tool_callsanddelta.tool_callsbehavior unchanged. Modern tool calls remain the primary path when providers return them.The narrow change is to add fallback handling for the older
function_callfield: non-streamingmessage.function_callis converted into a GeminifunctionCallpart, and streamingdelta.function_callfragments are accumulated through the existing stream-local tool-call parser before the final Gemini response is emitted.Evidence
The added unit coverage uses the same protocol shapes described above. The non-streaming regression constructs a response with
message.function_call: { name: "read_file", arguments: "{\"path\":\"README.md\"}" }and verifies that the converted Gemini content includes afunctionCallpart.The streaming regression feeds fragmented
delta.function_callchunks through one request context and verifies that the final chunk emits the reconstructed GeminifunctionCall. This is a focused converter reproduction, not a claim of live provider/API reproduction.Possible call chain / impact
The impacted surface is limited to OpenAI-compatible providers, gateways, or proxies that still emit legacy
function_callfields. Providers that already return moderntool_callscontinue through the existing path.Reviewer Test Plan
How to verify
Run the focused converter tests. The new non-streaming regression constructs a Chat Completion choice with
message.function_call: { name: "read_file", arguments: "{\"path\":\"README.md\"}" }and verifies it converts to a GeminifunctionCallpart. The new streaming regression feeds fragmenteddelta.function_callchunks through one request context and verifies the final chunk emits the reconstructed Gemini function call.Evidence (Before & After)
N/A - non-UI converter behavior. The before/after proof is covered by the focused unit tests added in
packages/core/src/core/openaiContentGenerator/converter.test.ts.Tested on
Environment (optional)
Windows 11, local Node/npm environment.
npm exec -- vitest run src/core/openaiContentGenerator/converter.test.tspassed inpackages/core.Linux validation was also run through WSL2 Ubuntu-22.04 (
Linux 6.6.114.1-microsoft-standard-WSL2 x86_64, Nodev24.15.0, npm11.12.1):npm run typecheckwas also attempted, but it fails on pre-existing unrelated type errors involving generateddist/srcprovider types andsrc/services/gitWorktreeService.ts; no typecheck errors point at this PR's changed files.Risk & Scope
function_callfields when moderntool_callsare absent.Linked Issues
N/A - no issue filed for this small compatibility fix.
中文说明
What this PR does
这个 PR 在把 OpenAI-compatible 响应转换回 Gemini content 时保留旧版 OpenAI Chat Completions 的 function call。非流式的
message.function_call现在会转换为 GeminifunctionCallpart；流式的delta.function_call分片会复用现有的 stream-local tool-call parser 进行累积。Why it's needed
What Problem This Solves
一些 OpenAI-compatible provider、gateway 或 proxy 仍然可能返回旧版 Chat Completions function-call 结构，而不是新版
tool_calls数组。在旧版结构里，非流式响应会把要调用的工具放在choice.message.function_call上，例如：{ "choices": [ { "message": { "role": "assistant", "function_call": { "name": "read_file", "arguments": "{\"path\":\"README.md\"}" } }, "finish_reason": "function_call" } ] }在这个改动之前，
OpenAIContentConverter.convertOpenAIResponseToGemini(...)只检查choice.message.tool_calls。如果 provider 返回的是合法的旧版message.function_call字段，converter 可能会生成一个不包含functionCallpart 的 Gemini candidate。对用户来说，这类失败看起来可能像是 assistant 返回了空响应或无法执行的普通响应，但实际上模型已经请求了一次工具调用。流式响应也存在同样的兼容性缺口。旧版 streaming response 可能通过
choice.delta.function_call发送 function-call 数据，而且 name 和 arguments 往往会被拆成多个 chunk，例如：{ "choices": [{ "delta": { "function_call": { "name": "read_file" } } }] } { "choices": [{ "delta": { "function_call": { "arguments": "{\"path\":" } } }] } { "choices": [{ "delta": { "function_call": { "arguments": "\"README.md\"}" } }, "finish_reason": "function_call" }] }在这个改动之前，
OpenAIContentConverter.convertOpenAIChunkToGemini(...)只检查choice.delta.tool_calls，因此这些旧版delta.function_call片段可能会被忽略，而不是被累积并转换成 GeminifunctionCallpart。Changes
这个 PR 保持现有新版
message.tool_calls和delta.tool_calls行为不变。当 provider 返回新版 tool calls 时，它们仍然是主要路径。这个 PR 的窄改动是补上旧版
function_call字段的 fallback handling：非流式message.function_call会转换成 GeminifunctionCallpart；流式delta.function_call片段会通过现有 stream-local tool-call parser 累积，并在最终 Gemini response 中输出。Evidence
新增单测使用的就是上面描述的协议形态。非流式回归测试构造
message.function_call: { name: "read_file", arguments: "{\"path\":\"README.md\"}" }，并确认转换后的 Gemini content 包含functionCallpart。流式回归测试通过同一个 request context 输入分片的
delta.function_call，并确认 final chunk 输出重组后的 GeminifunctionCall。这是 focused converter 复现，不是声称已经完成真实 provider/API 复现。Possible call chain / impact
影响面仅限仍然返回旧版
function_call字段的 OpenAI-compatible providers、gateways 或 proxies。已经返回新版tool_calls的 provider 仍然走现有路径。Reviewer Test Plan
How to verify
运行 focused converter 测试。新增的非流式回归测试构造
message.function_call: { name: "read_file", arguments: "{\"path\":\"README.md\"}" }，并确认它转换为 GeminifunctionCallpart。新增的流式回归测试通过同一个 request context 输入分片的delta.function_call，并确认 final chunk 输出重组后的 Gemini function call。Evidence (Before & After)
N/A - 这是非 UI 的转换逻辑。before/after 证据由
packages/core/src/core/openaiContentGenerator/converter.test.ts中新增的 focused unit tests 覆盖。Tested on
Environment (optional)
Windows 11，本地 Node/npm 环境。已在
packages/core下通过npm exec -- vitest run src/core/openaiContentGenerator/converter.test.ts。也通过 WSL2 Ubuntu-22.04 进行了 Linux 验证（
Linux 6.6.114.1-microsoft-standard-WSL2 x86_64，Nodev24.15.0，npm11.12.1）：也尝试运行了
npm run typecheck，但它失败于既有的、与本 PR 无关的类型问题，包括生成的dist/srcprovider types 和src/services/gitWorktreeService.ts；错误没有指向本 PR 修改的文件。Risk & Scope
tool_calls不存在时，为旧版function_call字段增加 fallback handling。Linked Issues
N/A - 这个小型兼容性修复目前没有对应 issue。