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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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3
fastdeploy/entrypoints/llm.py
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@@ -295,6 +295,9 @@ class LLM:
current_sampling_params = sampling_params[i]
else:
current_sampling_params = sampling_params
if current_sampling_params.guided_decoding is not None:
guided_decoding_dict = current_sampling_params.guided_decoding.to_dict()
tasks.update(guided_decoding_dict)
self.llm_engine.add_requests(tasks, current_sampling_params, **kwargs)
return req_ids