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, 14:45 UTC
[Bugfix]: Fix Gemma4ToolParser.__init__() missing `tools` parameter (#38847)
Signed-off-by: Michael Hospedales <hospedales@me.com>
Michael committed
Apr 2, 2026 at 17:35 UTC
bb39382b2b28b0571054fee4a266b96d7e33ab58
1 file changed
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-3
vllm/tool_parsers/gemma4_tool_parser.py
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-3
@@ -38,7 +38,7 @@ from vllm.entrypoints.openai.responses.protocol import (
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)
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from vllm.logger import init_logger
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from vllm.tokenizers import TokenizerLike
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-from vllm.tool_parsers.abstract_tool_parser import ToolParser
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+from vllm.tool_parsers.abstract_tool_parser import Tool, ToolParser
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from vllm.tool_parsers.utils import find_common_prefix
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logger = init_logger(__name__)
@@ -281,8 +281,8 @@ class Gemma4ToolParser(ToolParser):
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tool parsers.
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"""
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- def __init__(self, tokenizer: TokenizerLike):
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- super().__init__(tokenizer)
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+ def __init__(self, tokenizer: TokenizerLike, tools: list[Tool] | None = None):
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+ super().__init__(tokenizer, tools)
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if not self.model_tokenizer:
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raise ValueError(