A high-throughput and memory-efficient inference and serving engine for LLMs
Mirrored from https://github.com/tduncan-lum/Nvidia-Optimization-Stack---VLLM.git
Synced Nov 5, 06:00 UTC
[Bugfix]: Fix MinimaxM2ToolParser missing tools parameter (#39683)
Signed-off-by: chaunceyjiang <chaunceyjiang@gmail.com>
Chauncey committed
Apr 14, 2026 at 11:16 UTC
d2130a47bb978960c7cf3f400a1098492a39d4bc
1 file changed
+5
-2
vllm/parser/minimax_m2_parser.py
+5
-2
@@ -13,6 +13,9 @@ from vllm.logger import init_logger
13
from vllm.parser.abstract_parser import DelegatingParser
14
from vllm.reasoning.minimax_m2_reasoning_parser import MiniMaxM2ReasoningParser
15
from vllm.tokenizers import TokenizerLike
16
+from vllm.tool_parsers.abstract_tool_parser import (
17
+ Tool,
18
+)
19
from vllm.tool_parsers.minimax_m2_tool_parser import MinimaxM2ToolParser
20
21
logger = init_logger(__name__)
@@ -40,12 +43,12 @@ class MiniMaxM2Parser(DelegatingParser):
43
reasoning_parser_cls = MiniMaxM2ReasoningParser
44
tool_parser_cls = MinimaxM2ToolParser
45
43
- def __init__(self, tokenizer: TokenizerLike):
46
+ def __init__(self, tokenizer: TokenizerLike, tools: list[Tool] | None = None):
47
super().__init__(tokenizer)
48
49
# Initialize the underlying parsers
50
self._reasoning_parser = MiniMaxM2ReasoningParser(tokenizer)
48
- self._tool_parser = MinimaxM2ToolParser(tokenizer)
51
+ self._tool_parser = MinimaxM2ToolParser(tokenizer, tools)
52
53
logger.debug(
54
"vLLM Successfully initialized parser %s!", self.__class__.__name__