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[Feature] mm and thinking model support structred output (#2749)
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Browse Source 
* mm support structured output

* update code

* update code

* update format

* update code

* update code

* add enable_thinking default

* update code

* add structured_outputs test case

* add ci install xgrammar

* add ci timeout time

* update test for structured_outputs

* update code

* add error traceback info

* update error msg

* update structred output code

* update code

* update code

* update config

* update torch version

---------

Co-authored-by: Jiang-Jia-Jun <163579578+Jiang-Jia-Jun@users.noreply.github.com>
This commit is contained in:
kevin
2025-09-02 16:21:09 +08:00
committed by GitHub
parent 0e4df5a6f4
commit 1908465542
17 changed files with 1168 additions and 83 deletions
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12
fastdeploy/engine/request.py
View File

@@ -263,13 +263,11 @@ class Request:
setattr(self, key, value)
def __repr__(self) -> str:
return (
f"Request(request_id={self.request_id}, "
f"prompt={self.prompt!r}, "
f"prompt_token_ids={self.prompt_token_ids}, "
f"draft_token_ids={self.draft_token_ids}, "
f"sampling_params={self.sampling_params})"
)
non_none_fields = []
for attr, value in vars(self).items():
if value is not None and not attr.startswith("_"):
non_none_fields.append(f"{attr}={value!r}")
return f"Request({', '.join(non_none_fields)})"
@dataclass(slots=True)