[Fix] DeepSeek-V3.2: build structural tag locally to encode both wrapper and invoke layers (#25233)
This commit is contained in:
@@ -1,10 +1,11 @@
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import json
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import logging
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import re
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from typing import List, Literal, Optional, Union
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from partial_json_parser.core.options import Allow
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from sglang.srt.entrypoints.openai.protocol import Tool
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from sglang.srt.entrypoints.openai.protocol import Tool, ToolChoice
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from sglang.srt.function_call.base_format_detector import BaseFormatDetector
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from sglang.srt.function_call.core_types import (
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StreamingParseResult,
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@@ -14,8 +15,30 @@ from sglang.srt.function_call.core_types import (
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)
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from sglang.srt.function_call.utils import _find_common_prefix, _partial_json_loads
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try:
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from xgrammar import StructuralTag
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from xgrammar.structural_tag import (
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AnyTextFormat,
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ConstStringFormat,
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JSONSchemaFormat,
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SequenceFormat,
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TagFormat,
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TagsWithSeparatorFormat,
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TriggeredTagsFormat,
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)
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except ImportError:
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StructuralTag = None # type: ignore
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logger = logging.getLogger(__name__)
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# Names mirror the DeepSeek-V3.2 official chat template tokens
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# (see encoding_dsv32.TOOLS_SYSTEM_TEMPLATE).
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_INVOKE_BEGIN_PREFIX = '<|DSML|invoke name="'
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_INVOKE_BEGIN_SUFFIX = '">\n'
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_THINK_TAG_END = "</think>"
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_THINK_EXCLUDE_TOKENS = ["<think>", "</think>"]
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_XML_STYLE = "deepseek_xml"
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class DeepSeekV32Detector(BaseFormatDetector):
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"""
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@@ -368,5 +391,94 @@ class DeepSeekV32Detector(BaseFormatDetector):
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trigger="<|DSML|invoke",
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)
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def get_structural_tag_name(self) -> str:
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return "deepseek_v3_2"
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def get_structural_tag(
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self,
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tools: Union[List[Tool], None] = None,
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tool_choice: Union[ToolChoice, Literal["auto", "required"]] = "auto",
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thinking_mode: bool = False,
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) -> Optional["StructuralTag"]:
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"""
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Build an xgrammar StructuralTag locally for DeepSeek-V3.2.
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Both layers — the outer `<|DSML|function_calls|>...` wrapper and
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the inner `<|DSML|invoke>...</|DSML|invoke>` blocks — are encoded
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directly in the grammar with a single-newline join between
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consecutive invokes, matching DeepSeek-V3.2's official chat
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template. This avoids two layered defects that surfaced with the
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prior `xgrammar.get_model_structural_tag("deepseek_v3_2")` path:
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- the xgrammar builtin template (pre mlc-ai/xgrammar#638) forced
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a double-newline join, which deterministically collapsed
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parallel tool calls to one at greedy decoding.
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- falling back to the legacy structural tag (built from
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`structure_info()`) only constrains the inner invoke block;
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the outer wrapper is off-grammar and the model can skip it
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under `at_least_one=True`, leaving `detect_and_parse` with no
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`<|DSML|function_calls>` marker to anchor on.
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Returning a fully-formed StructuralTag from the detector keeps
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both fixes local to sglang and decoupled from the xgrammar
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release cadence.
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"""
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if not tools or StructuralTag is None:
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return None
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# `INVOKE_END` and the empty separator together yield a single `\n`
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# between consecutive invokes — matching DeepSeek-V3.2's chat template
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# `"\n".join(invoke_blocks)`.
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function_calls_begin = self.bot_token + "\n"
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invoke_end = self.invoke_end_token + "\n"
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def _invoke_tag(tool: Tool) -> TagFormat:
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return TagFormat(
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begin=_INVOKE_BEGIN_PREFIX + tool.function.name + _INVOKE_BEGIN_SUFFIX,
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content=JSONSchemaFormat(
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json_schema=tool.function.parameters or {},
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style=_XML_STYLE,
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),
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end=invoke_end,
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)
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if isinstance(tool_choice, ToolChoice):
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target = next(
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(t for t in tools if t.function.name == tool_choice.function.name),
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None,
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)
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if target is None:
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return None
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invoke_tags = [_invoke_tag(target)]
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is_required = True
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else:
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invoke_tags = [_invoke_tag(t) for t in tools]
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is_required = tool_choice == "required"
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inner_tool_calls = TagsWithSeparatorFormat(
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tags=invoke_tags, separator="", at_least_one=True
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)
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if is_required:
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suffix_tag = SequenceFormat(
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elements=[
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ConstStringFormat(value=function_calls_begin),
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inner_tool_calls,
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ConstStringFormat(value=self.eot_token),
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]
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)
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else:
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suffix_tag = TriggeredTagsFormat(
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triggers=[self.bot_token],
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tags=[
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TagFormat(
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begin=function_calls_begin,
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content=inner_tool_calls,
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end=self.eot_token,
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)
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],
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excludes=_THINK_EXCLUDE_TOKENS,
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)
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if not thinking_mode:
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return StructuralTag(format=suffix_tag)
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prefix_tag = TagFormat(begin="", content=AnyTextFormat(), end=_THINK_TAG_END)
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return StructuralTag(format=SequenceFormat(elements=[prefix_tag, suffix_tag]))
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