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chore: remove /v1/inference/completion and implementations (#3622)

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# What does this PR do?

the /inference/completion route is gone. this removes the
implementations.

## Test Plan

ci
This commit is contained in:
Matthew Farrellee 2025-10-01 11:36:53 -04:00 • committed by GitHub
parent ea15f2a270
commit f7c5ef4ec0
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75 changed files with 16141 additions and 17056 deletions
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47
llama_stack/providers/remote/inference/cerebras/cerebras.py
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@ -9,9 +9,6 @@ from urllib.parse import urljoin
from cerebras.cloud.sdk import AsyncCerebras
from llama_stack.apis.common.content_types import (
InterleavedContent,
)
from llama_stack.apis.inference import (
ChatCompletionRequest,
CompletionRequest,
@ -35,8 +32,6 @@ from llama_stack.providers.utils.inference.openai_compat import (
get_sampling_options,
process_chat_completion_response,
process_chat_completion_stream_response,
process_completion_response,
process_completion_stream_response,
)
from llama_stack.providers.utils.inference.openai_mixin import OpenAIMixin
from llama_stack.providers.utils.inference.prompt_adapter import (
@ -73,48 +68,6 @@ class CerebrasInferenceAdapter(
async def shutdown(self) -> None:
pass
async def completion(
self,
model_id: str,
content: InterleavedContent,
sampling_params: SamplingParams | None = None,
response_format: ResponseFormat | None = None,
stream: bool | None = False,
logprobs: LogProbConfig | None = None,
) -> AsyncGenerator:
if sampling_params is None:
sampling_params = SamplingParams()
model = await self.model_store.get_model(model_id)
request = CompletionRequest(
model=model.provider_resource_id,
content=content,
sampling_params=sampling_params,
response_format=response_format,
stream=stream,
logprobs=logprobs,
)
if stream:
return self._stream_completion(
request,
)
else:
return await self._nonstream_completion(request)
async def _nonstream_completion(self, request: CompletionRequest) -> CompletionResponse:
params = await self._get_params(request)
r = await self._cerebras_client.completions.create(**params)
return process_completion_response(r)
async def _stream_completion(self, request: CompletionRequest) -> AsyncGenerator:
params = await self._get_params(request)
stream = await self._cerebras_client.completions.create(**params)
async for chunk in process_completion_stream_response(stream):
yield chunk
async def chat_completion(
self,
model_id: str,