llama-stack-mirror/llama_stack/distribution/routing_tables/models.py

181 lines
6.8 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 asyncio
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()
model_refresh_interval_seconds: int = 300
_refresh_task: asyncio.Task | None = None
async def initialize(self) -> None:
await super().initialize()
task = asyncio.create_task(self._refresh_models())
self._refresh_task = task
def cb(task):
import traceback
if task.cancelled():
logger.error("Model refresh task cancelled")
elif task.exception():
logger.error(f"Model refresh task failed: {task.exception()}")
traceback.print_exception(task.exception())
else:
logger.debug("Model refresh task completed")
task.add_done_callback(cb)
async def shutdown(self) -> None:
await super().shutdown()
if self._refresh_task:
self._refresh_task.cancel()
self._refresh_task = None
async def _refresh_models(self) -> None:
while True:
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)
await asyncio.sleep(self.model_refresh_interval_seconds)
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.default,
)
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.default:
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.provider,
)
)