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[V1][Structured Output] Minor modification to _validate_structured_output() (#16748)

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Signed-off-by: shen-shanshan <467638484@qq.com>
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Shanshan Shen 2025-04-18 13:12:54 +08:00 committed by GitHub
parent 7a4a5de729
commit 30ed81b7ca
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1 changed files with 10 additions and 10 deletions
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vllm/v1/engine/processor.py
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@ -149,6 +149,7 @@ class Processor:
"xgrammar", "xgrammar:disable-any-whitespace", "guidance",
"guidance:disable-any-whitespace", "auto"
]
engine_level_backend = self.decoding_config.guided_decoding_backend
if engine_level_backend not in supported_backends:
raise ValueError(f"Only {supported_backends} structured output is "
@ -169,8 +170,15 @@ class Processor:
if engine_level_backend.startswith("xgrammar"):
# xgrammar with no fallback
validate_xgrammar_grammar(params)
params.guided_decoding.backend = engine_level_backend
elif engine_level_backend == "auto":
elif engine_level_backend.startswith("guidance"):
# TODO: ideally we would have the LLTokenizer here as Lark syntax
# allows <|special_token|> and similar, see
# https://github.com/guidance-ai/llguidance/blob/main/docs/syntax.md#special-tokens
# Without tokenizer these are disallowed in grammars.
validate_guidance_grammar(params, tokenizer=None)
else:
# NOTE: engine_level_backend must be "auto" here, because we have
# checked supported_backends above.
# "auto" is an opt-in to opinionated behavior where we try to
# choose a backend based on request contents. This is not the
# default as it is less predictable and subject to change
@ -183,14 +191,6 @@ class Processor:
# are not supported in xgrammar. Fall back to guidance.
params.guided_decoding.backend = "guidance"
if engine_level_backend.startswith("guidance"):
# TODO ideally we would have the LLTokenizer here as Lark syntax
# allows <|special_token|> and similar, see
# https://github.com/guidance-ai/llguidance/blob/main/docs/syntax.md#special-tokens
# Without tokenizer these are disallowed in grammars.
validate_guidance_grammar(params, tokenizer=None)
params.guided_decoding.backend = engine_level_backend
def process_inputs(
self,
request_id: str,