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[Bugfix][Parser] Preserve trailing text in non-streaming tool responses - #55199

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bvolpato:bvolpato/fix-tool-parser-trailing-content

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@bvolpato bvolpato commented Sep 3, 2026 •

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Overview

Non-streaming responses from engine-based tool parsers can drop assistant text after a tool call, leaving clients with incomplete message.content. #59218 reported this and was closed by its author, and the bug still reproduces on main. Drain the deferred text while preserving tool-call order and arguments.

Claims

  • Retain assistant prose before, between, and after tool calls.
  • Preserve tool order, decoded arguments, and existing whitespace behavior.
  • Leave streaming parsing unchanged.

Validation

A real OpenAI server preserves text around tool calls with this change, and the regressions fail without it. GPU results used NVIDIA B200 GPUs with driver 580.95.05 and a precompiled build of main b8c04dd3b4, which this branch includes. The comparison tree is this branch with only the production files restored to main.

.venv/bin/python -m pytest \
  tests/entrypoints/openai/chat_completion/test_completion_with_function_calling.py -q
.venv/bin/python -m pytest tests/tool_parsers tests/parser tests/reasoning -q
Without the fix: test_non_streaming_preserves_text_after_tool_call
                 assert None == 'I will check the weather.'
                 test_extract_tool_calls_keeps_text_around_tool_calls
                 assert 'Before.' == 'Before.  Between.  After.'
With the fix:    the commands above pass

This real-server run with qwen3_coder shows the client-visible result. It ran on the same hardware against main 3a90cc6fd0, before the latest commits on this branch. Tool names and arguments matched in every case.

Model output message.content without the fix message.content with the fix
Text after one tool call None 'I will check the weather.'
Text before, between, and after two tool calls 'Before.' 'Before.Between.After.'
Text before one tool call 'Before.' 'Before.'
No text None None

Parser-level comparison of a complete parse and a stream of the same output on this branch:

Parser Output Stream Complete parse without the fix Complete parse with the fix
minimax_m2 Text after a tool call 'After.' None 'After.'
minimax_m2 Text before and after a tool call 'Before. After.' 'Before.' 'Before. After.'
gemma4 Text after a tool call 'Done.', in chunks of 1 and 7 characters None 'Done.'

A wider selection also passes on this branch: the parser files in tests/tool_use, tests/entrypoints/tool_parsers, and the chat, responses, and message-assembly unit tests in tests/entrypoints/openai. The only errors are the [llama] cases of test_hermes_tool_parser.py, which need a gated checkpoint that this host cannot access, and they error the same way on main.

Two existing tests recorded the dropped text, so this PR changes their expectations. test_step3p5_tool_parser.py expected 'hello' in its non-streaming case, while the same file's streaming case expects both hello and hi. test_gemma4_response_template_preserves_content_after_tool_call expected None from the registered parser and 'Done.' from the response template parser, and both now return 'Done.'.

The real-server file and the three test directories also pass with this branch merged onto main 410ab341a8, with the same build, because no native code changed between the two commits.

Model quality was not evaluated, because the change only returns text that the model already generated.

CI coverage: (CPU) Tool Parsers selects the moved adapter regression and the Step3p5 test. (H200 MIG 35GB) Entrypoints Integration (OpenAI API chat_completion) and its (MI355 DPX) mirror select the real-server regression, but ROCm was not run. No enabled step selects tests/parser, because its step in misc.yaml is commented out, so the Gemma4 test and test_inkling.py ran only in the validation above.

(H200 MIG 35GB) Rust Frontend Tool Use and its mirror exclude the new regression. A real Rust frontend build returned assert None == 'I will check the weather.' for it. Under an answer constraint the Rust grammar keeps tool calls optional (tool_grammar_applies), so the regex does not force text after a call. The rest of the file passes on that Rust frontend build. The regressions of this PR also pass with this branch merged onto main b2a9480dc7, with its own precompiled build and VLLM_WORKER_MULTIPROC_METHOD=spawn as in CI. Upstream checks are stopped at contributor authorization, so Buildkite has not run this branch.

Details

Streaming conversion defers text after tool events until the next delta. The complete-parse path returns without that next conversion, so queued prose is lost. Drain that shared buffer through the existing converter before normalizing the response. InklingParser had its own override that drained the same buffer, so this change removes that override. Qwen3 adapter and real-server regressions cover the client-visible behavior, and the tool-calling guide describes it.

The tool-calling guide names the limit of this change: parsers such as deepseek_v4 stop at the tool call by design, and their text after a tool call is still dropped in both modes.

Rust frontend: This change touches only the Python frontend. Rust qwen_coder already keeps text after a tool call in a complete parse, checked with a temporary cargo test on parse_complete, so this change makes the Python result match it. Rust minimax_m2 ignores that text in both modes (minimax_m2_parse_complete_preserves_prefix_and_ignores_trailing_text). The Python minimax_m2 stream already returned it, so the frontends already differed for streaming. With this PR, Python complete parses also return it, so the frontends now also differ for complete parses of minimax_m2. This PR keeps Python consistent with its own stream and does not change Rust.

This does not duplicate an open PR. #59234 proposed an overlapping fix, and its author closed it without a merge. #56270 fixed the same class of bug in the DeepSeek-V3 parser and also kept the text. Open #63093 changes only the dots parser, which does not use this engine.

AI assistance was used for this change.


Pull Request Checklist
  • I used vLLM's /pr-checklist skill. (Mandatory for agents, optional for humans).

  • AI assistance was used during the creation of this PR.

  • Design Fit: Minimizes impact on core components, reuses existing functionality, and justifies added complexity.

  • Testing and Validation: Validates the change and ensures any added tests are meaningful and reliable, with CI coverage or documented CI resource constraints and validation performed outside CI.

  • Code Quality and Style: Keeps code and comments clear and concise, and updates relevant documentation and examples.

  • Pull Request Contents: Includes a brief summary and relevant links, supports claims with evidence, explains root causes and implementation trade-offs, and follows the contributing guide.

BEFORE SUBMITTING, PLEASE READ https://docs.vllm.ai/en/latest/contributing (anything written below this line will be removed by GitHub Actions)

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@mergify mergify Bot added qwen Related to Qwen models tool-calling bug Something isn't working labels Sep 3, 2026
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@bvolpato
bvolpato force-pushed the bvolpato/fix-tool-parser-trailing-content branch from 807d4ad to 6c7b757 Compare September 3, 2026 19:57
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bvolpato marked this pull request as ready for review September 10, 2026 04:33

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@bvolpato

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@sfeng33, could you take a look at this parser fix? Complete responses were dropping assistant text after tool calls. The change drains that text while preserving tool order and arguments, and the adapter regressions and GPU serving reproduction pass.

Drain deferred prose when completing a non-streaming engine parse while
preserving whitespace, tool order, and arguments.

Co-authored-by: OpenAI Codex <noreply@openai.com>
Signed-off-by: Bruno Volpato <brunocvcunha@gmail.com>
@mergify

mergify Bot commented Oct 23, 2026

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Documentation preview: https://vllm--55199.org.readthedocs.build/en/55199/

@mergify mergify Bot added the documentation Improvements or additions to documentation label Oct 23, 2026
Force a tool call and trailing prose through real Qwen3 weights and check the complete API response. Document the preserved content.

Co-authored-by: OpenAI Codex <noreply@openai.com>
Signed-off-by: Bruno Volpato <brunocvcunha@gmail.com>
@bvolpato
bvolpato force-pushed the bvolpato/fix-tool-parser-trailing-content branch from 0e1dac8 to 9a484f8 Compare October 23, 2026 05:12
Co-authored-by: Codex <noreply@openai.com>
Signed-off-by: Bruno Volpato <brunocvcunha@gmail.com>
@bvolpato bvolpato changed the title [Bugfix][Parser] Preserve prose after tool calls [Bugfix][Parser] Preserve trailing text in non-streaming tool responses Oct 31, 2026
Signed-off-by: Bruno Volpato <brunocvcunha@gmail.com>
Remove the Inkling flush that the base class now covers. Update the Step3p5 and Gemma4 expectations, which recorded the dropped text. Move the adapter regression to tests/tool_parsers, because no enabled CI step selects tests/parser/engine. State which parsers keep the text in the docs.

Signed-off-by: Bruno Volpato <brunocvcunha@gmail.com>
Assisted-by: Claude Code
Under an answer constraint the Rust grammar keeps tool calls optional, so the regex does not force text after a call and the real Rust frontend returns no content. The rest of the file still runs in this step.

Signed-off-by: Bruno Volpato <brunocvcunha@gmail.com>
Assisted-by: Claude Code
@bvolpato
bvolpato requested a review from a team November 2, 2026 17:11
@bvolpato

bvolpato commented Nov 6, 2026

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@bbrowning, would you mind taking a look at the shared parser-engine fix? It keeps assistant text after tool calls in complete responses, matching streaming, and lets Inkling use the same flush path.

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