[#17580][fix] Stream the text that precedes a tool call in DeepSeek parsers - #17903
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…Seek parsers Once a start token is present anywhere in the buffer, parse_streaming_increment hands the whole buffer to the tool-parsing branch, which returns normal_text="" and then advances the buffer past the matched call. Any text that arrived in the same delta ahead of the call is therefore discarded, while detect_and_parse on the same string returns it as normal_text. The three parsers now split the buffer at the earliest start token and carry that prefix on every return of the tool-parsing branch, which is what Glm47ToolParser.parse_streaming_increment already does and what the streaming test for MiniMaxM2ToolParser already pins. deepseek_v4 inherits the V3.2 parser. Signed-off-by: Yiğit ERDOĞAN <yigiterdogan023@gmail.com>
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Included review availability: Your plan includes up to 12 reviews per rolling hour; 9 remain after this review. WalkthroughDeepSeek V3, V3.1, and V3.2 streaming parsers now preserve text before tool calls. They retain tool-call content separately and return accumulated text for successful and error results. Parameterized tests cover DeepSeek V3, V3.1, V3.2, and V4. ChangesDeepSeek streaming parsing
Estimated code review effort: 3 (Moderate) | ~20 minutes Merge Risk: 🔵 Low · up to The change restores streamed text before DeepSeek tool calls and adds coverage for batching and whitespace boundaries. A bounded correctness risk remains because parser failures may be treated as ordinary output instead of surfacing malformed tool calls, so owner awareness or follow-up is recommended. Suggested reviewers: 🚥 Pre-merge checks | ✅ 5✅ Passed checks (5 passed)
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In `@tensorrt_llm/serve/tool_parser/deepseekv3_parser.py`:
- Around line 116-123: Normalize streaming normal_text with the same whitespace
stripping used by detect_and_parse() in deepseekv3_parser.py lines 116-123,
deepseekv31_parser.py lines 113-120, and deepseekv32_parser.py lines 197-204.
Update the corresponding test in tests/unittest/llmapi/apps/test_tool_parsers.py
lines 1849-1855 to use a prefix with leading and trailing whitespace and verify
matching non-streaming output.
- Around line 207-209: Replace the broad Exception handlers with the designated
recoverable parse-exception type in parse_streaming_increment and the
corresponding handlers in tensorrt_llm/serve/tool_parser/deepseekv3_parser.py
lines 207-209, tensorrt_llm/serve/tool_parser/deepseekv31_parser.py lines
203-205, and tensorrt_llm/serve/tool_parser/deepseekv32_parser.py lines 307-309;
preserve the existing logging and normal-text fallback for those expected
exceptions only.
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The prefix is streamed verbatim, so a prefix carrying leading and trailing whitespace produces the same string no matter where the delta boundaries fall. detect_and_parse strips that whitespace because it sees the whole response at once, while a streaming path can only strip the boundary that happens to be in the current delta, which makes the result depend on how the tokens were batched. Glm47ToolParser and MiniMaxM2ToolParser stream the prefix verbatim as well. The new case covers the whole prefix in one delta, the prefix arriving alone ahead of the call, and a split inside the prefix. Signed-off-by: Yiğit ERDOĞAN <yigiterdogan023@gmail.com>
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Inline comments:
In `@tests/unittest/llmapi/apps/test_tool_parsers.py`:
- Around line 1897-1903: Update the streaming test around
parse_streaming_increment to retain each returned result instead of only
collecting normal_text, then assert that the accumulated streamed calls include
the get_weather tool. Keep the existing prefix assertion and make the tool-call
check independent of any parser-specific call-item count.
Apply the same fix in `@tests/unittest/llmapi/apps/test_tool_parsers.py` around
lines 1859 - 1905: Covered by the same missing assertions for tool-call
preservation and arguments.
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tests/unittest/llmapi/apps/test_tool_parsers.py
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The delta-independence test only looked at normal_text, so a regression that streamed the prefix but dropped the tool call would still pass. Signed-off-by: Yiğit ERDOĞAN <yigiterdogan023@gmail.com>
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Description
Fixes #17580.
When a streaming increment carries ordinary text followed by a tool call, the text is
dropped. The guard at the top of
parse_streaming_incrementonly emits the buffer whenthere is no tool call in it, so once a start token is present the whole buffer — prefix
included — goes into the tool-parsing branch, which returns
normal_text=""and thenadvances the buffer past the matched call.
detect_and_parseon the same string returnsthat prefix as
normal_text, so the streamed and the non-streamed content differ for thesame generation:
Whether a model hits this depends on content and the start token landing in one delta,
which happens whenever more than one token is decoded per iteration — speculative
decoding,
stream_intervalabove 1, or a detokenizer flush of several tokens.The three parsers now split the buffer at the earliest start token, emit that prefix, and
keep the buffer from the token onwards, and the prefix is carried on every return of the
tool-parsing branch.
deepseekv4_parser.pyinherits the V3.2 path.This is the pattern the directory already uses:
Glm47ToolParser.parse_streaming_incrementslices the buffer atbot_tokenand threadsnormal_textthrough each of its returns, andTestMiniMaxM2ToolParser::test_streaming_preserves_prefix_in_same_chunkalready pins thesame contract for MiniMax-M2. The four DeepSeek parsers were the ones that did not honour
it.
While computing the token positions,
has_tool_callis derived from those same positions,which removes the duplicated token lists in the V3/V3.1 membership check and their
partial-token check. There is no API change and no change to the non-streaming path.
Out of scope, deliberately:
detect_and_parsereturns onlytext[:idx]for thefirst start token, so it does not surface that text either; emitting it in the streaming
path only would move the two paths further apart rather than closer.
BaseToolParser.parse_streaming_incrementcomputesstart_idx = tool_call_pos + len(self.bot_token)and never emits what precedes it, so the same symptom reproduces onqwen3. That method is shared by every base-streaming parser, so it does not belong in aDeepSeek fix.
Test Coverage
tests/unittest/llmapi/apps/test_tool_parsers.py, already registered ascpu_onlyintests/integration/test_lists/test-db/l0_cpu.yml:test_deepseek_streaming_emits_text_before_tool_call— 4 parametrizations, one perparser class, each in its own tool-call format. Each asserts the prefix is streamed, that
it equals what
detect_and_parsereturns for the same string, and that the call is stillparsed.
test_deepseek_streaming_prefix_is_delta_independent— 4 parametrizations. A prefixcarrying leading and trailing whitespace is streamed byte-identically whether it arrives
whole with the call, alone ahead of it, or split in the middle, so the streamed content
does not depend on how tokens were batched. Added after review; the whitespace itself is
kept verbatim, which is what
Glm47ToolParserandMiniMaxM2ToolParserdo as well andwhat a streaming path can do without its output depending on the delta boundaries.
All 8 fail on
mainand pass with this change. Runtime on this box, measured over 2000repetitions each: 25.5/29.5/69.4/70.1 us for the first test and 28.4/28.8/80.5/83.4 us for
the second — 0.415 ms for all eight together. The file's full suite is unchanged otherwise:
319 passed locally versus 311 before, with an identical set of 19 pre-existing failures that
need guided decoding and the reasoning parsers.
PR Checklist
[#issue][type] descriptionmainand green here@tongyuantongyu you reviewed and merged #17573, which is the same method in the same three
files; the issue was filed out of that review, where you can see I said I would open this
once #17573 landed. Would you mind taking this one, and triggering the pipeline when you
have a moment?
Dev Engineer Review
has_tool_callfrom computed positions.QA Engineer Review
detect_and_parse, independence from delta boundaries, whitespace preservation, and retention of the parsedget_weathertool call.tests/integration/test_lists/test-db/l0_cpu.yml.