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Manny7717
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Verified locally on head c21d812 (base 55178f2):
Bug real on base. init_render_app_state passed the raw CLI flag args.reasoning_parser (empty string when the flag is omitted) straight to OnlineRenderer/OnlineDerenderer. The render entrypoint builds VllmConfig directly from the model config, so unlike create_engine_config it never merges the CLI flag into structured_outputs_config — and model-specific defaults applied during config verification (e.g. openai_gptoss set at model_executor/models/config.py:407 for gpt-oss) were dropped, leaving harmony markup unparsed in derender output.
Regression proven. Head test file applied to base worktree → FAILS with exactly the bug: _Renderer.captured[0]["reasoning_parser"] == '' vs expected 'openai_gptoss' (assertion at test_app_state.py:52). PASSES on head.
Verification on head:
- Test 1/1 passes:
VllmConfig(model_config=ModelConfig("openai/gpt-oss-20b"))resolvesstructured_outputs_config.reasoning_parser == "openai_gptoss"(confirming the model default survives this construction path), and bothOnlineRendererandOnlineDerendererreceive the resolved value. - Precedence correct:
args.reasoning_parser or vllm_config.structured_outputs_config.reasoning_parser— an explicit--reasoning-parserstill wins; only the empty-flag case falls back to the config-resolved default. StructuredOutputsConfig.reasoning_parseris a dataclass field withstr = ""default (structured_outputs.py:35), always present on VllmConfig — no None-risk in the fallback.- Test is hermetic (monkeypatched renderer/derenderer/tokenization; the only real object is the ModelConfig/VllmConfig construction, which is CPU-only). ruff check clean.
No issues found — approving.
hickeyma
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Nice work @shimib, thanks. Good to merge, once the or (Point 1) is restored. Nothing else blocks.
- Put back
args.reasoning_parser or... which was dropped in 9aa30b5. PR description still claims it and it matters for the two exported entry points - PR fixes the render leg too, not just derender. Might be worth claiming?
- The PR description claims the following but it doesn't hold: (a) the plugin merge is inert, (b) the special-token leak is conditional
- Nit:
create_structured_outputs_config()mutates and returns self test_derender.py:1029already launches a realgpt-ossrender server, just with the flags set. A no-flag variant is the e2e regression
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Thanks @hickeyma — all addressed in fc07848: (1) restored the |
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Rebased onto main (65ba1bf). The only conflict was in Re-verified on the rebased head: Approvals from @Manny7717, @sagearc and @hickeyma still stand — this is ready for the |
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This pull request has merge conflicts that must be resolved before it can be |
The GPU-less render server passed the raw --reasoning-parser CLI flag to OnlineRenderer/OnlineDerenderer, missing model-specific defaults applied by verify_and_update_config (e.g. openai_gptoss for gpt_oss). The render entrypoint also builds VllmConfig directly from the model config, so the CLI flag never reaches structured_outputs_config as it does through create_engine_config; the flag must therefore take precedence with the config-resolved value as fallback. Without this, 'vllm launch render openai/gpt-oss-20b' derendered raw harmony markup into content (with special tokens on the streaming path) instead of parsed reasoning and tool calls, diverging from the main API server. Co-authored-by: Claude <noreply@anthropic.com> Signed-off-by: Shimi Bandiel <shimib@google.com>
…helper Extract the reasoning-parser flag merge from create_engine_config into EngineArgs.create_structured_outputs_config() and call it from the render entrypoint when constructing VllmConfig, per review feedback. app_state now reads only the config-resolved value, matching the main API server, and --reasoning-parser-plugin is no longer dropped by the render server. Co-authored-by: Claude <noreply@anthropic.com> Signed-off-by: Shimi Bandiel <shimib@google.com>
Restore 'args.reasoning_parser or ...' in init_render_app_state so callers that build a VllmConfig without the entrypoint merge still honor an explicit flag. Document that create_structured_outputs_config mutates and returns self.structured_outputs_config. Add an e2e regression launching gpt-oss with no parser flags and asserting parsed reasoning. Co-authored-by: Claude <noreply@anthropic.com> Signed-off-by: Shimi Bandiel <shimib@google.com>
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Purpose
Fix the GPU-less render server (
vllm launch render) ignoring model-default reasoning parsers, which left gpt-oss (harmony) output completely unparsed by the derender endpoints. The same mis-resolution affected the render leg too:OnlineRendererreceived the raw (empty) flag as well, so both the render and derender handlers now get the resolved value.init_render_app_statepassed the raw--reasoning-parserCLI flag toOnlineRenderer/OnlineDerenderer, missing model-specific defaults applied byverify_and_update_config(e.g."openai_gptoss"forgpt_oss, set invllm/model_executor/models/config.py). The main API server uses the config-resolved value (vllm/entrypoints/generate/api_router.py), so the two frontends diverged.The render entrypoint builds
VllmConfig(model_config=...)directly, bypassingcreate_engine_config— so the CLI flag was never merged intostructured_outputs_configthere. The fix extracts that merge intoEngineArgs.create_structured_outputs_config()(called from bothcreate_engine_configand the render entrypoint), andapp_statereads the config-resolved value withargs.reasoning_parserkept as the first source, so callers that construct aVllmConfigwithout the merge still honor an explicit flag.Note:
create_structured_outputs_configalso merges--reasoning-parser-pluginforcreate_engine_configparity, but that part is inert for the render server (plugin import happens fromargsin the launcher and already worked); no behavior change is claimed for it.Observable impact before this fix, with
vllm launch render openai/gpt-oss-20b(no flags):ParserManager.get_parserreceived no parser names and returnedNonebefore itsis_harmonycheck./v1/chat/completions/derenderreturned raw harmony markup ascontent(e.g."analysisNeed the weather for Paris.assistantfinalIt is sunny.") — noreasoning, notool_calls.delta.contentinstead of failing closed (whether channel markers appear as literal special-token text additionally depends on the request'sskip_special_tokensand the tokenizer's special-token flags).After the fix, the same launch parses harmony like the main server (
reasoning/contentsplit correctly), and streaming fails closed with the documented 501 until parser-aware streaming derender (#50550) lands — the two changes compose (verified on that PR's branch).Not a duplicate: searched open/closed PRs and issues for render/derender + harmony/gpt-oss/reasoning-parser combinations; nothing addresses this. #50550 (streaming parse path) is orthogonal and does not touch parser-name resolution.
No model-output changes: this affects only frontend prompt/response processing parity, so no model evals are applicable.
Test Plan
Regression unit tests (real gpt-oss
VllmConfig, heavy constructors monkeypatched) and flag-precedence coverage:E2E regression on a no-flag gpt-oss render server (new), plus existing suites guarding the flagged paths (the DeepSeek-R1 e2e tests launch a real server with
--reasoning-parserand assert parsed reasoning):Lint:
Test Result
AssertionError: assert '' == 'openai_gptoss'; passes with the fix. Flag-precedence test confirms an explicit--reasoning-parsersurvivesVllmConfigconstruction over the model default.test_e2e_harmony_reasoning_default_parser(bare gpt-oss server, no parser flags) passes: reasoning parsed, no<|channel|>markup incontent.mypy-3.12pass.reasoning: 'Need the weather for Paris.'/content: 'It is sunny.'(previously raw markup); streaming returns HTTP 501 fail-closed.AI-assisted contribution
This change was developed with AI assistance (Claude Code). Every changed line was reviewed by the submitter, who ran the tests above.