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[Misc][Frontend] passthrough bad_words #19564

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Jun 16, 2025
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2 changes: 2 additions & 0 deletions vllm/entrypoints/openai/protocol.py
Original file line number Diff line number Diff line change
Expand Up @@ -272,6 +272,7 @@ class ChatCompletionRequest(OpenAIBaseModel):
truncate_prompt_tokens: Optional[Annotated[int, Field(ge=1)]] = None
prompt_logprobs: Optional[int] = None
allowed_token_ids: Optional[list[int]] = None
bad_words: list[str] = Field(default_factory=list)
# --8<-- [end:chat-completion-sampling-params]

# --8<-- [start:chat-completion-extra-params]
Expand Down Expand Up @@ -550,6 +551,7 @@ def to_sampling_params(
else RequestOutputKind.FINAL_ONLY,
guided_decoding=guided_decoding,
logit_bias=self.logit_bias,
bad_words= self.bad_words,
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medium

Consider adding a unit test to verify that the bad_words parameter is correctly passed to the sampling parameters.

allowed_token_ids=self.allowed_token_ids,
extra_args=({"kv_transfer_params": self.kv_transfer_params}
if self.kv_transfer_params else None))
Expand Down