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Make all methods async def again; add completion() for meta-reference (#270)

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PR #201 had made several changes while trying to fix issues with getting the stream=False branches of inference and agents API working. As part of this, it made a change which was slightly gratuitous. Namely, making chat_completion() and brethren "def" instead of "async def".

The rationale was that this allowed the user (within llama-stack) of this to use it as:

```
async for chunk in api.chat_completion(params)
```

However, it causes unnecessary confusion for several folks. Given that clients (e.g., llama-stack-apps) anyway use the SDK methods (which are completely isolated) this choice was not ideal. Let's revert back so the call now looks like:

```
async for chunk in await api.chat_completion(params)
```

Bonus: Added a completion() implementation for the meta-reference provider. Technically should have been another PR :)
This commit is contained in:
Ashwin Bharambe 2024-10-18 20:50:59 -07:00 • committed by GitHub
parent 95a96afe34
commit 2089427d60
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23 changed files with 330 additions and 213 deletions
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6
llama_stack/providers/impls/vllm/vllm.py
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@ -134,7 +134,7 @@ class VLLMInferenceImpl(ModelRegistryHelper, Inference):
if self.engine:
self.engine.shutdown_background_loop()
def completion(
async def completion(
self,
model: str,
content: InterleavedTextMedia,
@ -152,7 +152,7 @@ class VLLMInferenceImpl(ModelRegistryHelper, Inference):
logprobs=logprobs,
)
def chat_completion(
async def chat_completion(
self,
model: str,
messages: list[Message],
@ -189,7 +189,7 @@ class VLLMInferenceImpl(ModelRegistryHelper, Inference):
if stream:
return self._stream_chat_completion(request, results_generator)
else:
return self._nonstream_chat_completion(request, results_generator)
return await self._nonstream_chat_completion(request, results_generator)
async def _nonstream_chat_completion(
self, request: ChatCompletionRequest, results_generator: AsyncGenerator