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Add prompt_logprobs and guided_choice to OpenAI completions

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This adds the vLLM-specific extra_body parameters of prompt_logprobs
and guided_choice to our openai_completion inference endpoint. The
plan here would be to expand this to support all common optional
parameters of any of the OpenAI providers, allowing each provider to
use or ignore these parameters based on whether their server supports them.

Signed-off-by: Ben Browning <bbrownin@redhat.com>
This commit is contained in:
Ben Browning 2025-04-09 15:43:53 -04:00
parent ef684ff178
commit ac5dc8fae2
11 changed files with 98 additions and 5 deletions
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4
llama_stack/providers/remote/inference/together/together.py
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@ -276,6 +276,8 @@ class TogetherInferenceAdapter(ModelRegistryHelper, Inference, NeedsRequestProvi
temperature: Optional[float] = None,
top_p: Optional[float] = None,
user: Optional[str] = None,
guided_choice: Optional[List[str]] = None,
prompt_logprobs: Optional[int] = None,
) -> OpenAICompletion:
model_obj = await self._get_model(model)
params = await prepare_openai_completion_params(
@ -296,6 +298,8 @@ class TogetherInferenceAdapter(ModelRegistryHelper, Inference, NeedsRequestProvi
temperature=temperature,
top_p=top_p,
user=user,
guided_choice=guided_choice,
prompt_logprobs=prompt_logprobs,
)
return await self._get_openai_client().completions.create(**params) # type: ignore