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fix

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Swapna Lekkala 2025-09-17 18:24:34 -07:00
parent 9aee115abe
commit dfbc61fb67
1 changed files with 22 additions and 10 deletions
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32
llama_stack/providers/remote/inference/fireworks/fireworks.py
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@ -130,13 +130,19 @@ class FireworksInferenceAdapter(OpenAIMixin, ModelRegistryHelper, Inference, Nee
async def _nonstream_completion(self, request: CompletionRequest) -> CompletionResponse: async def _nonstream_completion(self, request: CompletionRequest) -> CompletionResponse:
params = await self._get_params(request) params = await self._get_params(request)
r = await self._get_client().completions.create(**params) r = await self._get_client().completion.acreate(**params)
return process_completion_response(r) return process_completion_response(r)
async def _stream_completion(self, request: CompletionRequest) -> AsyncGenerator: async def _stream_completion(self, request: CompletionRequest) -> AsyncGenerator:
params = await self._get_params(request) params = await self._get_params(request)
stream = await self._get_client().completions.create(**params) # Wrapper for async generator similar
async def _to_async_generator():
stream = self._get_client().completion.create(**params)
for chunk in stream:
yield chunk
stream = _to_async_generator()
async for chunk in process_completion_stream_response(stream): async for chunk in process_completion_stream_response(stream):
yield chunk yield chunk
@ -205,18 +211,23 @@ class FireworksInferenceAdapter(OpenAIMixin, ModelRegistryHelper, Inference, Nee
async def _nonstream_chat_completion(self, request: ChatCompletionRequest) -> ChatCompletionResponse: async def _nonstream_chat_completion(self, request: ChatCompletionRequest) -> ChatCompletionResponse:
params = await self._get_params(request) params = await self._get_params(request)
if "messages" in params: if "messages" in params:
r = await self._get_client().chat.completions.create(**params) r = await self._get_client().chat.completions.acreate(**params)
else: else:
r = await self._get_client().completions.create(**params) r = await self._get_client().completion.acreate(**params)
return process_chat_completion_response(r, request) return process_chat_completion_response(r, request)
async def _stream_chat_completion(self, request: ChatCompletionRequest) -> AsyncGenerator: async def _stream_chat_completion(self, request: ChatCompletionRequest) -> AsyncGenerator:
params = await self._get_params(request) params = await self._get_params(request)
if "messages" in params: async def _to_async_generator():
stream = await self._get_client().chat.completions.create(**params) if "messages" in params:
else: stream = self._get_client().chat.completions.acreate(**params)
stream = await self._get_client().completions.create(**params) else:
stream = self._get_client().completion.acreate(**params)
async for chunk in stream:
yield chunk
stream = _to_async_generator()
async for chunk in process_chat_completion_stream_response(stream, request): async for chunk in process_chat_completion_stream_response(stream, request):
yield chunk yield chunk
@ -239,7 +250,8 @@ class FireworksInferenceAdapter(OpenAIMixin, ModelRegistryHelper, Inference, Nee
# Fireworks always prepends with BOS # Fireworks always prepends with BOS
if "prompt" in input_dict: if "prompt" in input_dict:
input_dict["prompt"] = self._preprocess_prompt_for_fireworks(input_dict["prompt"]) if input_dict["prompt"].startswith("<|begin_of_text|>"):
input_dict["prompt"] = input_dict["prompt"][len("<|begin_of_text|>") :]
params = { params = {
"model": request.model, "model": request.model,
@ -267,7 +279,7 @@ class FireworksInferenceAdapter(OpenAIMixin, ModelRegistryHelper, Inference, Nee
assert all(not content_has_media(content) for content in contents), ( assert all(not content_has_media(content) for content in contents), (
"Fireworks does not support media for embeddings" "Fireworks does not support media for embeddings"
) )
response = await self._get_client().embeddings.create( response = self._get_client().embeddings.create(
model=model.provider_resource_id, model=model.provider_resource_id,
input=[interleaved_content_as_str(content) for content in contents], input=[interleaved_content_as_str(content) for content in contents],
**kwargs, **kwargs,