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resource oriented object design for models

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This commit is contained in:
Dinesh Yeduguru 2024-11-07 16:43:55 -08:00
parent 5625aef48a
commit ca88f3f182
17 changed files with 63 additions and 82 deletions
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8
llama_stack/providers/remote/inference/vllm/vllm.py
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@ -13,7 +13,7 @@ from llama_models.sku_list import all_registered_models, resolve_model
from openai import OpenAI
from llama_stack.apis.inference import * # noqa: F403
from llama_stack.providers.datatypes import ModelsProtocolPrivate
from llama_stack.providers.datatypes import Model, ModelsProtocolPrivate
from llama_stack.providers.utils.inference.openai_compat import (
get_sampling_options,
@ -44,13 +44,13 @@ class VLLMInferenceAdapter(Inference, ModelsProtocolPrivate):
async def initialize(self) -> None:
self.client = OpenAI(base_url=self.config.url, api_key=self.config.api_token)
async def register_model(self, model: ModelDef) -> None:
async def register_model(self, model: Model) -> None:
raise ValueError("Model registration is not supported for vLLM models")
async def shutdown(self) -> None:
pass
async def list_models(self) -> List[ModelDef]:
async def list_models(self) -> List[Model]:
models = []
for model in self.client.models.list():
repo = model.id
@ -60,7 +60,7 @@ class VLLMInferenceAdapter(Inference, ModelsProtocolPrivate):
identifier = self.huggingface_repo_to_llama_model_id[repo]
models.append(
ModelDef(
Model(
identifier=identifier,
llama_model=identifier,
)