[Frontend] Support strict MiMo-V2.6 tool calling (#58019)

Co-authored-by: Codex <noreply@openai.com>
Co-authored-by: yuchuan <yuchuan.7streams@gmail.com>
Co-authored-by: Bugen Zhao <i@bugenzhao.com>
Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>
Signed-off-by: Ubospica <ubospica@gmail.com>
Signed-off-by: yuchuan <yuchuan.7streams@gmail.com>
Signed-off-by: Bugen Zhao <i@bugenzhao.com>
This commit is contained in:
Yixin Dong
2026-09-29 12:47:47 +00:00
committed by GitHub
co-authored by Codex yuchuan Bugen Zhao Claude Opus 5.5
parent 79a0307d74
commit dfc8e0f3e2
17 changed files with 243 additions and 15 deletions
+11
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@@ -458,6 +458,17 @@ Supported models:
Flags: `--tool-call-parser qwen3_xml`
### MiMo-V2.6 Models (`mimo`)
Supported models:
* `XiaomiMiMo/MiMo-V2.6-Pro-RL`
* `XiaomiMiMo/MiMo-V2.6-Flash-RL`
Use the checkpoint's chat template with `--tool-call-parser mimo --reasoning-parser mimo --enable-auto-tool-choice`.
For schema-constrained tool arguments, set `strict: true` inside each tool's `function`, or use `--tool-strict-level parameter`.
The parser supports `auto`, `required`, named tools, and `parallel_tool_calls=False`, preserving leading/trailing whitespace in string arguments.
### Olmo 3 Models (`olmo3`)
Olmo 3 models output tool calls in a format that is very similar to the one expected by the `pythonic` parser (see below), with a few differences. Each tool call is a pythonic string, but the parallel tool calls are newline-delimited, and the calls are wrapped within XML tags as `<function_calls>..</function_calls>`. In addition, the parser also allows JSON boolean and null literals (`true`, `false`, and `null`) in addition to the pythonic ones (`True`, `False`, and `None`).
+1 -1
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@@ -26,7 +26,7 @@ lm-format-enforcer == 0.11.3
llguidance >= 1.7.0, < 1.8.0; platform_machine == "x86_64" or platform_machine == "arm64" or platform_machine == "aarch64" or platform_machine == "ppc64le" or platform_machine == "s390x"
outlines_core == 0.2.14
lark == 1.2.2
xgrammar == 0.2.7; platform_machine == "x86_64" or platform_machine == "aarch64" or platform_machine == "arm64" or platform_machine == "s390x" or platform_machine == "ppc64le"
xgrammar == 0.2.8; platform_machine == "x86_64" or platform_machine == "aarch64" or platform_machine == "arm64" or platform_machine == "s390x" or platform_machine == "ppc64le"
typing_extensions >= 4.10
filelock >= 3.16.1 # need to contain https://github.com/tox-dev/filelock/pull/317
partial-json-parser # used for parsing partial JSON outputs
+1 -1
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@@ -24,7 +24,7 @@ timm>=1.0.17
amd-quark==0.12.post1
tilelang==0.1.10
# Required apache-tvm-ffi matching tilelang version
apache-tvm-ffi==0.1.10
apache-tvm-ffi==0.1.11
# Required for faster safetensors model loading
fastsafetensors >= 0.3.3
# Mooncake transfer engine for KV cache offloading/transfer (ROCm build, published on PyPI)
+1 -1
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@@ -1319,7 +1319,7 @@ word2number==1.1
# via lm-eval
wrapt==1.17.2
# via smart-open
xgrammar==0.2.7
xgrammar==0.2.8
# via -r requirements/test/../common.txt
xxhash==3.5.0
# via
+1 -1
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@@ -1429,7 +1429,7 @@ word2number==1.1
# via lm-eval
wrapt==1.17.2
# via smart-open
xgrammar==0.2.7
xgrammar==0.2.8
# via
# -c requirements/common.txt
# -r requirements/test/../common.txt
+2 -2
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@@ -43,7 +43,7 @@ anyio==4.13.0
# sse-starlette
# starlette
# watchfiles
apache-tvm-ffi==0.1.10
apache-tvm-ffi==0.1.11
# via
# -c requirements/rocm.txt
# tilelang
@@ -1380,7 +1380,7 @@ word2number==1.1
# via lm-eval
wrapt==2.1.2
# via smart-open
xgrammar==0.2.7
xgrammar==0.2.8
# via
# -c requirements/common.txt
# -r requirements/test/../common.txt
+1 -1
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@@ -1218,7 +1218,7 @@ werkzeug==3.1.8
# via schemathesis
word2number==1.1
# via lm-eval
xgrammar==0.2.7
xgrammar==0.2.8
# via
# -c requirements/common.txt
# -r requirements/test/../common.txt
+24
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@@ -1175,3 +1175,27 @@ class TestNestedSchemaCoercion:
assert questions[0]["question"] == "Pick a color"
assert questions[0]["multiSelect"] is False
assert questions[0]["answer"] is None
@pytest.mark.parametrize("value", ["\n北京 &amp;\n", "null", "42", "", "a\nb"])
@pytest.mark.parametrize("chunk_size", [1, 7, 1000])
def test_mimo_preserves_verbatim_parameter_values(
mock_tokenizer, mock_request, value, chunk_size
):
from vllm.parser.mimo import MiMoParser
text = (
f"<tool_call><function=run><parameter=text>{value}</parameter>"
"</function></tool_call>"
)
parser = MiMoParser(mock_tokenizer, chat_template_kwargs={"enable_thinking": False})
result = parser.extract_tool_calls(text, mock_request)
assert json.loads(result.tool_calls[0].function.arguments) == {"text": value}
parser = MiMoParser(mock_tokenizer, chat_template_kwargs={"enable_thinking": False})
results = simulate_tool_streaming(
parser,
mock_request,
[text[i : i + chunk_size] for i in range(0, len(text), chunk_size)],
)
assert collect_function_name(results) == "run"
assert json.loads(collect_tool_arguments(results)) == {"text": value}
+39 -3
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@@ -15,6 +15,7 @@ from __future__ import annotations
import functools
import json
from collections.abc import Callable
from dataclasses import dataclass, replace
from typing import Any
@@ -39,6 +40,7 @@ from vllm.parser.engine.registered_adapters import (
GraniteThinkingParser,
InklingParser,
KimiK2Parser,
MiMoParser,
MinimaxM2Parser,
NemotronV3Parser,
Plamo3Parser,
@@ -356,7 +358,12 @@ def _qwen3_tool_segments(tc: ToolCallSpec) -> list[tuple[str, bool]]:
]
def _qwen3_segments(scenario: Scenario) -> list[tuple[str, bool]]:
def _qwen3_segments(
scenario: Scenario,
tool_segments: Callable[[ToolCallSpec], list[tuple[str, bool]]] = (
_qwen3_tool_segments
),
) -> list[tuple[str, bool]]:
segs: list[tuple[str, bool]] = []
if scenario.reasoning is not None:
segs.append((scenario.reasoning, False))
@@ -369,7 +376,7 @@ def _qwen3_segments(scenario: Scenario) -> list[tuple[str, bool]]:
segs.append((scenario.content, False))
if scenario.tool_calls:
for tc in scenario.tool_calls:
segs.extend(_qwen3_tool_segments(tc))
segs.extend(tool_segments(tc))
return segs
@@ -389,6 +396,9 @@ def _build_qwen3(
parser_cls: type = Qwen3Parser,
strip_trailing_ws: bool = False,
validate: bool = True,
tool_segments: Callable[[ToolCallSpec], list[tuple[str, bool]]] = (
_qwen3_tool_segments
),
) -> Sample:
expected_reasoning: str | None
if scenario.reasoning is not None:
@@ -403,7 +413,7 @@ def _build_qwen3(
sample_id=f"{name}-{scenario.id}",
description=scenario.description,
vocab=_QWEN3_VOCAB,
segments=_qwen3_segments(scenario),
segments=_qwen3_segments(scenario, tool_segments),
expected_reasoning=expected_reasoning,
expected_content=_qwen3_expected_content(scenario),
expected_tool_calls=_expected_tc(scenario),
@@ -414,6 +424,31 @@ def _build_qwen3(
return sample
# ── MiMo (compact Qwen3 XML, no newlines between tags) ───────────────
def _mimo_tool_segments(tc: ToolCallSpec) -> list[tuple[str, bool]]:
parts = [f"<function={tc.name}>"]
for key, value in tc.arguments.items():
parts.append(f"<parameter={key}>{_qwen3_arg_value(value)}</parameter>")
parts.append("</function>")
return [
("<tool_call>", True),
("".join(parts), False),
("</tool_call>", True),
]
def _build_mimo(scenario: Scenario, validate: bool = True) -> Sample:
return _build_qwen3(
scenario,
name="mimo",
parser_cls=MiMoParser,
validate=validate,
tool_segments=_mimo_tool_segments,
)
# ── MiniMax M2 (XML invoke format, starts in REASONING) ──────────────
_MINIMAX_M2_VOCAB: dict[str, int] = {
@@ -1232,6 +1267,7 @@ _BUILDERS: dict[str, Any] = {
"glm47_moe": _build_glm47_moe,
"kimi_k2": _build_kimi_k2,
"qwen3": _build_qwen3,
"mimo": _build_mimo,
"inkling": _build_inkling,
"plamo3": _build_plamo3,
}
@@ -40,6 +40,7 @@ from vllm.tool_parsers.hermes_tool_parser import Hermes2ProToolParser
from vllm.tool_parsers.kimi_k2_tool_parser import KimiK2ToolParser
from vllm.tool_parsers.kimi_k3_tool_parser import KimiK3ToolParser
from vllm.tool_parsers.llama_tool_parser import Llama3JsonToolParser
from vllm.tool_parsers.mimo_tool_parser import MiMoToolParser
from vllm.tool_parsers.minimax_m2_tool_parser import MinimaxM2ToolParser
from vllm.tool_parsers.plamo3_engine_tool_parser import Plamo3EngineToolParser
from vllm.tool_parsers.qwen3_engine_tool_parser import Qwen3EngineToolParser
@@ -665,6 +666,7 @@ def test_get_model_structural_tag_supports_named_tool_choice(
(Llama3JsonToolParser, "llama"),
(MinimaxM2ToolParser, "minimax"),
(Qwen3EngineToolParser, "qwen_3_coder"),
(MiMoToolParser, "mimo"),
],
)
def test_tool_parsers_declare_matching_xgrammar_builtin_model(parser_cls, model):
@@ -727,7 +729,7 @@ def test_get_structural_tag_disables_reasoning(
@pytest.mark.parametrize(
"parser_cls", [Qwen3EngineToolParser, DeepSeekV41EngineToolParser]
"parser_cls", [Qwen3EngineToolParser, DeepSeekV41EngineToolParser, MiMoToolParser]
)
def test_unified_parser_get_structural_tag_disables_reasoning(
parser_cls,
@@ -1167,3 +1169,78 @@ def test_tool_strict_level_from_name():
ToolStrictLevel.from_name("strict")
with pytest.raises(ValueError, match="expected one of auto, function, parameter"):
ToolStrictLevel.from_name("off")
@pytest.mark.parametrize("policy", ["auto", "required", "named"])
def test_mimo_strict_compact_xml(policy):
tools = [
ChatCompletionToolsParam(
type="function",
function={
"name": "run",
"strict": True,
"parameters": {
"type": "object",
"properties": {"n": {"type": "integer", "minimum": 1}},
"required": ["n"],
"additionalProperties": False,
},
},
)
]
choice = (
ChatCompletionNamedToolChoiceParam(
function=ChatCompletionNamedFunction(name="run")
)
if policy == "named"
else policy
)
tag = get_model_structural_tag("mimo", tools, choice, reasoning=False)
grammar = Grammar.from_structural_tag(tag)
call = "<tool_call><function=run><parameter=n>2</parameter></function></tool_call>"
assert _is_grammar_accept_string(grammar, call)
assert _is_grammar_accept_string(grammar, call * 2) == (policy != "named")
assert _is_grammar_accept_string(grammar, "answer") == (policy == "auto")
for invalid in [
call.replace("function=run", "function=unknown"),
call.replace("<parameter=n>2</parameter>", ""),
call.replace(">2</parameter>", ">bad</parameter>"),
call.replace(">2</parameter>", ">0</parameter>"),
call.replace("<parameter=n>", "<parameter=other>"),
call.replace("</function>", "<parameter=n>3</parameter></function>"),
"<think>plan</think>" + call,
]:
assert not _is_grammar_accept_string(grammar, invalid)
tools[0].function.strict = False
relaxed = Grammar.from_structural_tag(
get_model_structural_tag("mimo", tools, "required", reasoning=False)
)
assert _is_grammar_accept_string(
relaxed, call.replace("<parameter=n>", "<parameter=other>")
)
@pytest.mark.parametrize("policy", ["auto", "required"])
def test_mimo_request_limits_parallel_calls(sample_tools_strict, policy):
from vllm.parser.parser_manager import ParserManager
request = ChatCompletionRequest(
model="mimo",
messages=[],
tools=[t.model_dump() for t in sample_tools_strict],
tool_choice=policy,
parallel_tool_calls=False,
)
parser_cls = ParserManager.get_parser(
tool_parser_name="mimo", enable_auto_tools=True
)
parser = parser_cls(MagicMock(), tools=sample_tools_strict)
adjusted = parser.adjust_request(request)
grammar = Grammar.from_structural_tag(adjusted.structured_outputs.structural_tag)
call = (
"<tool_call><function=get_weather><parameter=city>北京</parameter>"
"</function></tool_call>"
)
assert _is_grammar_accept_string(grammar, call)
assert not _is_grammar_accept_string(grammar, call * 2)
assert not _is_grammar_accept_string(grammar, call + "extra text")
@@ -17,6 +17,7 @@ from vllm.parser.granite import GraniteParser
from vllm.parser.granite_thinking import GraniteThinkingParser
from vllm.parser.inkling import InklingParser
from vllm.parser.kimi_k2 import KimiK2Parser
from vllm.parser.mimo import MiMoParser
from vllm.parser.minimax_m2 import MinimaxM2Parser
from vllm.parser.mistral import MistralParser
from vllm.parser.nemotron_v3 import NemotronV3Parser
@@ -69,6 +70,11 @@ from vllm.parser.seed_oss import SeedOssParser
Qwen3ParserToolAdapter,
) = make_adapters(Qwen3Parser)
(
MiMoParserReasoningAdapter,
MiMoParserToolAdapter,
) = make_adapters(MiMoParser)
(
SeedOssParserReasoningAdapter,
SeedOssParserToolAdapter,
+42
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@@ -0,0 +1,42 @@
# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
"""MiMo's compact XML parameters contain verbatim string values."""
import json
from dataclasses import replace
from vllm.parser.qwen3 import (
_PARAM_RE,
_PARTIAL_PARAM_RE,
CHATML_TURN_BOUNDARIES,
Qwen3Parser,
qwen3_config,
)
def _mimo_arg_converter(raw_args: str, partial: bool) -> str:
params = {m.group(1): m.group(2) for m in _PARAM_RE.finditer(raw_args)}
if partial:
match = _PARTIAL_PARAM_RE.search(_PARAM_RE.sub("", raw_args))
if match and match.group(1):
params[match.group(1)] = match.group(2)
return json.dumps(params, ensure_ascii=False)
class MiMoParser(Qwen3Parser):
def __init__(self, tokenizer, tools=None, **kwargs):
thinking = (kwargs.get("chat_template_kwargs") or {}).get(
"enable_thinking", True
)
kwargs.setdefault(
"parser_engine_config",
replace(
qwen3_config(
thinking=thinking,
name="mimo",
turn_boundary_tokens=CHATML_TURN_BOUNDARIES,
),
arg_converter=_mimo_arg_converter,
),
)
super().__init__(tokenizer, tools, **kwargs)
+2 -2
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@@ -109,8 +109,8 @@ _REASONING_PARSERS_TO_REGISTER = {
"K2HorizonReasoningParser",
),
"mimo": (
"qwen3_engine_reasoning_parser",
"Qwen3ParserReasoningAdapter",
"mimo_engine_reasoning_parser",
"MiMoParserReasoningAdapter",
),
"minimax_m2": (
"minimax_m2_reasoning_parser",
@@ -0,0 +1,6 @@
# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
from vllm.parser.engine.registered_adapters import MiMoParserReasoningAdapter
__all__ = ["MiMoParserReasoningAdapter"]
+2 -2
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@@ -143,8 +143,8 @@ _TOOL_PARSERS_TO_REGISTER = {
"LongcatFlashToolParser",
),
"mimo": (
"qwen3_engine_tool_parser",
"Qwen3EngineToolParser",
"mimo_tool_parser",
"MiMoToolParser",
),
"minimax_m2": (
"minimax_m2_tool_parser",
+25
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@@ -0,0 +1,25 @@
# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
from xgrammar.structural_tag import TriggeredTagsFormat
from vllm.parser.engine.registered_adapters import MiMoParserToolAdapter
from vllm.tool_parsers.tool_strict_level import ToolStrictLevel
class MiMoToolParser(MiMoParserToolAdapter): # type: ignore[valid-type, misc]
structural_tag_model = "mimo"
def get_structural_tag(
self, request, *, reasoning=False, strict_level=ToolStrictLevel.AUTO
):
tag = super().get_structural_tag(
request, reasoning=reasoning, strict_level=strict_level
)
if (
tag is not None
and request.parallel_tool_calls is False
and isinstance(tag.format, TriggeredTagsFormat)
):
tag.format.stop_after_first = True
return tag
@@ -66,6 +66,7 @@ XGRAMMAR_BUILTIN_STRUCTURAL_TAG_MODELS = frozenset(
"deepseek_v3_1",
"qwen_3_5",
"qwen_3_coder",
"mimo",
"qwen_3",
"deepseek_v3_2",
"glm_4_7",