llama-stack-mirror/llama_stack/distribution/routing_tables/models.py
Ashwin Bharambe 1463b79218
feat(registry): make the Stack query providers for model listing (#2862)
This flips #2823 and #2805 by making the Stack periodically query the
providers for models rather than the providers going behind the back and
calling "register" on to the registry themselves. This also adds support
for model listing for all other providers via `ModelRegistryHelper`.
Once this is done, we do not need to manually list or register models
via `run.yaml` and it will remove both noise and annoyance (setting
`INFERENCE_MODEL` environment variables, for example) from the new user
experience.

In addition, it adds a configuration variable `allowed_models` which can
be used to optionally restrict the set of models exposed from a
provider.
2025-07-24 10:39:53 -07:00

151 lines
5.8 KiB
Python

# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the terms described in the LICENSE file in
# the root directory of this source tree.
import time
from typing import Any
from llama_stack.apis.models import ListModelsResponse, Model, Models, ModelType, OpenAIListModelsResponse, OpenAIModel
from llama_stack.distribution.datatypes import (
ModelWithOwner,
RegistryEntrySource,
)
from llama_stack.log import get_logger
from .common import CommonRoutingTableImpl, lookup_model
logger = get_logger(name=__name__, category="core")
class ModelsRoutingTable(CommonRoutingTableImpl, Models):
listed_providers: set[str] = set()
async def refresh(self) -> None:
for provider_id, provider in self.impls_by_provider_id.items():
refresh = await provider.should_refresh_models()
if not (refresh or provider_id in self.listed_providers):
continue
try:
models = await provider.list_models()
except Exception as e:
logger.exception(f"Model refresh failed for provider {provider_id}: {e}")
continue
self.listed_providers.add(provider_id)
if models is None:
continue
await self.update_registered_models(provider_id, models)
async def list_models(self) -> ListModelsResponse:
return ListModelsResponse(data=await self.get_all_with_type("model"))
async def openai_list_models(self) -> OpenAIListModelsResponse:
models = await self.get_all_with_type("model")
openai_models = [
OpenAIModel(
id=model.identifier,
object="model",
created=int(time.time()),
owned_by="llama_stack",
)
for model in models
]
return OpenAIListModelsResponse(data=openai_models)
async def get_model(self, model_id: str) -> Model:
return await lookup_model(self, model_id)
async def get_provider_impl(self, model_id: str) -> Any:
model = await lookup_model(self, model_id)
return self.impls_by_provider_id[model.provider_id]
async def register_model(
self,
model_id: str,
provider_model_id: str | None = None,
provider_id: str | None = None,
metadata: dict[str, Any] | None = None,
model_type: ModelType | None = None,
) -> Model:
if provider_id is None:
# If provider_id not specified, use the only provider if it supports this model
if len(self.impls_by_provider_id) == 1:
provider_id = list(self.impls_by_provider_id.keys())[0]
else:
raise ValueError(
f"Please specify a provider_id for model {model_id} since multiple providers are available: {self.impls_by_provider_id.keys()}.\n\n"
"Use the provider_id as a prefix to disambiguate, e.g. 'provider_id/model_id'."
)
provider_model_id = provider_model_id or model_id
metadata = metadata or {}
model_type = model_type or ModelType.llm
if "embedding_dimension" not in metadata and model_type == ModelType.embedding:
raise ValueError("Embedding model must have an embedding dimension in its metadata")
# an identifier different than provider_model_id implies it is an alias, so that
# becomes the globally unique identifier. otherwise provider_model_ids can conflict,
# so as a general rule we must use the provider_id to disambiguate.
if model_id != provider_model_id:
identifier = model_id
else:
identifier = f"{provider_id}/{provider_model_id}"
model = ModelWithOwner(
identifier=identifier,
provider_resource_id=provider_model_id,
provider_id=provider_id,
metadata=metadata,
model_type=model_type,
source=RegistryEntrySource.via_register_api,
)
registered_model = await self.register_object(model)
return registered_model
async def unregister_model(self, model_id: str) -> None:
existing_model = await self.get_model(model_id)
if existing_model is None:
raise ValueError(f"Model {model_id} not found")
await self.unregister_object(existing_model)
async def update_registered_models(
self,
provider_id: str,
models: list[Model],
) -> None:
existing_models = await self.get_all_with_type("model")
# we may have an alias for the model registered by the user (or during initialization
# from run.yaml) that we need to keep track of
model_ids = {}
for model in existing_models:
if model.provider_id != provider_id:
continue
if model.source == RegistryEntrySource.via_register_api:
model_ids[model.provider_resource_id] = model.identifier
continue
logger.debug(f"unregistering model {model.identifier}")
await self.unregister_object(model)
for model in models:
if model.provider_resource_id in model_ids:
# avoid overwriting a non-provider-registered model entry
continue
logger.debug(f"registering model {model.identifier} ({model.provider_resource_id})")
await self.register_object(
ModelWithOwner(
identifier=model.identifier,
provider_resource_id=model.provider_resource_id,
provider_id=provider_id,
metadata=model.metadata,
model_type=model.model_type,
source=RegistryEntrySource.listed_from_provider,
)
)