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Non-streaming parse dropped everything after the tool-calls block. Streaming already returned that text. Signed-off-by: Paul El Khoury <82139421+pOpO1-9@users.noreply.github.com> Co-authored-by: Cursor <cursoragent@cursor.com>
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Signed-off-by: Artem Perevedentsev <aperevedents@nvidia.com>
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smiyamoto3
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LGTM. Tested at d995db4.
I confirmed locally that streaming and non-streaming now agree on text before and after the block.
nit: With text between two tool-call blocks, non-streaming still drops that text, and without an end marker, streaming still returns the text after the last call. V3 does the same on main, so I think this PR is fine as is.
Overview
The DeepSeek V3.1 tool parser dropped any text that came after a tool-calls block on the non-streaming path. Streaming already returned that text. This is the same gap as #56263. #56265 covers the V3 parser only. This change is the V3.1 parser, which is a separate file and still registered as
deepseek_v31.Claims
extract_tool_callsreturns the text before the tool-calls block plus the text aftertool_calls_end.Validation
The non-streaming cases were run here with a tiny in-memory tokenizer: prefix only, prefix plus suffix, and suffix only. All three returned the expected content and tool names.
ruff checkandruff format --checkpassed on the two files.The existing unit tests download
deepseek-ai/DeepSeek-V3.1and were not run on this machine. Importing vLLM here fails before the tokenizer step.Details
extract_tool_callsused to slice at the start marker and ignore the rest. Streaming emits a content delta once the tool-call start and end counts match again, so the text after the block reaches the client only on the streaming path.Pull Request Checklist
I used vLLM's
/pr-checklistskill. (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.