Signed-off-by: Nave Assaf <nassaf@nvidia.com> Co-authored-by: mergify[bot] <37929162+mergify[bot]@users.noreply.github.com>
34 lines
1.2 KiB
Python
34 lines
1.2 KiB
Python
# SPDX-License-Identifier: Apache-2.0
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# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
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from vllm.entrypoints.openai.chat_completion.protocol import (
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ChatCompletionRequest,
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)
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from vllm.entrypoints.openai.responses.protocol import (
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ResponsesRequest,
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)
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from vllm.reasoning.deepseek_r1_reasoning_parser import DeepSeekR1ReasoningParser
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class NemotronV3ReasoningParser(DeepSeekR1ReasoningParser):
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"""
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Reasoning parser for Nemotron V3 models.
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"""
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def extract_reasoning(
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self, model_output: str, request: ChatCompletionRequest | ResponsesRequest
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) -> tuple[str | None, str | None]:
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reasoning, final_content = super().extract_reasoning(model_output, request)
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chat_template_kwargs = getattr(request, "chat_template_kwargs", None)
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if (
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chat_template_kwargs
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and (
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chat_template_kwargs.get("enable_thinking") is False
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or chat_template_kwargs.get("force_nonempty_content") is True
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)
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and (final_content is None or not final_content.strip())
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):
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reasoning, final_content = final_content, reasoning
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return reasoning, final_content
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