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# What does this PR do? The goal of this PR is code base modernization. Schema reflection code needed a minor adjustment to handle UnionTypes and collections.abc.AsyncIterator. (Both are preferred for latest Python releases.) Note to reviewers: almost all changes here are automatically generated by pyupgrade. Some additional unused imports were cleaned up. The only change worth of note can be found under `docs/openapi_generator` and `llama_stack/strong_typing/schema.py` where reflection code was updated to deal with "newer" types. Signed-off-by: Ihar Hrachyshka <ihar.hrachyshka@gmail.com>
634 lines
25 KiB
Python
634 lines
25 KiB
Python
# Copyright (c) Meta Platforms, Inc. and affiliates.
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# All rights reserved.
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#
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# This source code is licensed under the terms described in the LICENSE file in
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# the root directory of this source tree.
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import logging
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import time
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import uuid
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from typing import Any
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from pydantic import TypeAdapter
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from llama_stack.apis.benchmarks import Benchmark, Benchmarks, ListBenchmarksResponse
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from llama_stack.apis.common.content_types import URL
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from llama_stack.apis.common.type_system import ParamType
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from llama_stack.apis.datasets import (
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Dataset,
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DatasetPurpose,
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Datasets,
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DatasetType,
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DataSource,
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ListDatasetsResponse,
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RowsDataSource,
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URIDataSource,
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)
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from llama_stack.apis.models import ListModelsResponse, Model, Models, ModelType, OpenAIListModelsResponse, OpenAIModel
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from llama_stack.apis.resource import ResourceType
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from llama_stack.apis.scoring_functions import (
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ListScoringFunctionsResponse,
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ScoringFn,
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ScoringFnParams,
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ScoringFunctions,
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)
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from llama_stack.apis.shields import ListShieldsResponse, Shield, Shields
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from llama_stack.apis.tools import (
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ListToolGroupsResponse,
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ListToolsResponse,
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Tool,
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ToolGroup,
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ToolGroups,
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ToolHost,
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)
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from llama_stack.apis.vector_dbs import ListVectorDBsResponse, VectorDB, VectorDBs
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from llama_stack.distribution.access_control import check_access
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from llama_stack.distribution.datatypes import (
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AccessAttributes,
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BenchmarkWithACL,
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DatasetWithACL,
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ModelWithACL,
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RoutableObject,
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RoutableObjectWithProvider,
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RoutedProtocol,
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ScoringFnWithACL,
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ShieldWithACL,
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ToolGroupWithACL,
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ToolWithACL,
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VectorDBWithACL,
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)
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from llama_stack.distribution.request_headers import get_auth_attributes
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from llama_stack.distribution.store import DistributionRegistry
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from llama_stack.providers.datatypes import Api, RoutingTable
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logger = logging.getLogger(__name__)
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def get_impl_api(p: Any) -> Api:
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return p.__provider_spec__.api
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# TODO: this should return the registered object for all APIs
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async def register_object_with_provider(obj: RoutableObject, p: Any) -> RoutableObject:
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api = get_impl_api(p)
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assert obj.provider_id != "remote", "Remote provider should not be registered"
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if api == Api.inference:
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return await p.register_model(obj)
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elif api == Api.safety:
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return await p.register_shield(obj)
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elif api == Api.vector_io:
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return await p.register_vector_db(obj)
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elif api == Api.datasetio:
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return await p.register_dataset(obj)
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elif api == Api.scoring:
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return await p.register_scoring_function(obj)
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elif api == Api.eval:
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return await p.register_benchmark(obj)
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elif api == Api.tool_runtime:
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return await p.register_tool(obj)
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else:
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raise ValueError(f"Unknown API {api} for registering object with provider")
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async def unregister_object_from_provider(obj: RoutableObject, p: Any) -> None:
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api = get_impl_api(p)
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if api == Api.vector_io:
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return await p.unregister_vector_db(obj.identifier)
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elif api == Api.inference:
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return await p.unregister_model(obj.identifier)
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elif api == Api.datasetio:
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return await p.unregister_dataset(obj.identifier)
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elif api == Api.tool_runtime:
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return await p.unregister_tool(obj.identifier)
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else:
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raise ValueError(f"Unregister not supported for {api}")
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Registry = dict[str, list[RoutableObjectWithProvider]]
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class CommonRoutingTableImpl(RoutingTable):
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def __init__(
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self,
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impls_by_provider_id: dict[str, RoutedProtocol],
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dist_registry: DistributionRegistry,
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) -> None:
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self.impls_by_provider_id = impls_by_provider_id
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self.dist_registry = dist_registry
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async def initialize(self) -> None:
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async def add_objects(objs: list[RoutableObjectWithProvider], provider_id: str, cls) -> None:
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for obj in objs:
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if cls is None:
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obj.provider_id = provider_id
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else:
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# Create a copy of the model data and explicitly set provider_id
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model_data = obj.model_dump()
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model_data["provider_id"] = provider_id
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obj = cls(**model_data)
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await self.dist_registry.register(obj)
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# Register all objects from providers
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for pid, p in self.impls_by_provider_id.items():
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api = get_impl_api(p)
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if api == Api.inference:
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p.model_store = self
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elif api == Api.safety:
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p.shield_store = self
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elif api == Api.vector_io:
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p.vector_db_store = self
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elif api == Api.datasetio:
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p.dataset_store = self
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elif api == Api.scoring:
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p.scoring_function_store = self
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scoring_functions = await p.list_scoring_functions()
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await add_objects(scoring_functions, pid, ScoringFn)
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elif api == Api.eval:
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p.benchmark_store = self
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elif api == Api.tool_runtime:
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p.tool_store = self
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async def shutdown(self) -> None:
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for p in self.impls_by_provider_id.values():
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await p.shutdown()
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def get_provider_impl(self, routing_key: str, provider_id: str | None = None) -> Any:
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def apiname_object():
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if isinstance(self, ModelsRoutingTable):
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return ("Inference", "model")
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elif isinstance(self, ShieldsRoutingTable):
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return ("Safety", "shield")
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elif isinstance(self, VectorDBsRoutingTable):
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return ("VectorIO", "vector_db")
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elif isinstance(self, DatasetsRoutingTable):
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return ("DatasetIO", "dataset")
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elif isinstance(self, ScoringFunctionsRoutingTable):
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return ("Scoring", "scoring_function")
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elif isinstance(self, BenchmarksRoutingTable):
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return ("Eval", "benchmark")
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elif isinstance(self, ToolGroupsRoutingTable):
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return ("Tools", "tool")
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else:
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raise ValueError("Unknown routing table type")
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apiname, objtype = apiname_object()
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# Get objects from disk registry
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obj = self.dist_registry.get_cached(objtype, routing_key)
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if not obj:
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provider_ids = list(self.impls_by_provider_id.keys())
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if len(provider_ids) > 1:
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provider_ids_str = f"any of the providers: {', '.join(provider_ids)}"
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else:
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provider_ids_str = f"provider: `{provider_ids[0]}`"
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raise ValueError(
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f"{objtype.capitalize()} `{routing_key}` not served by {provider_ids_str}. Make sure there is an {apiname} provider serving this {objtype}."
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)
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if not provider_id or provider_id == obj.provider_id:
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return self.impls_by_provider_id[obj.provider_id]
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raise ValueError(f"Provider not found for `{routing_key}`")
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async def get_object_by_identifier(self, type: str, identifier: str) -> RoutableObjectWithProvider | None:
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# Get from disk registry
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obj = await self.dist_registry.get(type, identifier)
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if not obj:
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return None
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# Check if user has permission to access this object
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if not check_access(obj.identifier, getattr(obj, "access_attributes", None), get_auth_attributes()):
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logger.debug(f"Access denied to {type} '{identifier}' based on attribute mismatch")
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return None
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return obj
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async def unregister_object(self, obj: RoutableObjectWithProvider) -> None:
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await self.dist_registry.delete(obj.type, obj.identifier)
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await unregister_object_from_provider(obj, self.impls_by_provider_id[obj.provider_id])
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async def register_object(self, obj: RoutableObjectWithProvider) -> RoutableObjectWithProvider:
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# if provider_id is not specified, pick an arbitrary one from existing entries
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if not obj.provider_id and len(self.impls_by_provider_id) > 0:
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obj.provider_id = list(self.impls_by_provider_id.keys())[0]
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if obj.provider_id not in self.impls_by_provider_id:
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raise ValueError(f"Provider `{obj.provider_id}` not found")
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p = self.impls_by_provider_id[obj.provider_id]
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# If object supports access control but no attributes set, use creator's attributes
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if not obj.access_attributes:
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creator_attributes = get_auth_attributes()
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if creator_attributes:
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obj.access_attributes = AccessAttributes(**creator_attributes)
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logger.info(f"Setting access attributes for {obj.type} '{obj.identifier}' based on creator's identity")
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registered_obj = await register_object_with_provider(obj, p)
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# TODO: This needs to be fixed for all APIs once they return the registered object
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if obj.type == ResourceType.model.value:
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await self.dist_registry.register(registered_obj)
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return registered_obj
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else:
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await self.dist_registry.register(obj)
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return obj
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async def get_all_with_type(self, type: str) -> list[RoutableObjectWithProvider]:
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objs = await self.dist_registry.get_all()
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filtered_objs = [obj for obj in objs if obj.type == type]
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# Apply attribute-based access control filtering
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if filtered_objs:
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filtered_objs = [
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obj
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for obj in filtered_objs
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if check_access(obj.identifier, getattr(obj, "access_attributes", None), get_auth_attributes())
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]
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return filtered_objs
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class ModelsRoutingTable(CommonRoutingTableImpl, Models):
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async def list_models(self) -> ListModelsResponse:
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return ListModelsResponse(data=await self.get_all_with_type("model"))
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async def openai_list_models(self) -> OpenAIListModelsResponse:
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models = await self.get_all_with_type("model")
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openai_models = [
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OpenAIModel(
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id=model.identifier,
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object="model",
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created=int(time.time()),
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owned_by="llama_stack",
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)
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for model in models
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]
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return OpenAIListModelsResponse(data=openai_models)
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async def get_model(self, model_id: str) -> Model:
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model = await self.get_object_by_identifier("model", model_id)
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if model is None:
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raise ValueError(f"Model '{model_id}' not found")
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return model
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async def register_model(
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self,
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model_id: str,
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provider_model_id: str | None = None,
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provider_id: str | None = None,
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metadata: dict[str, Any] | None = None,
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model_type: ModelType | None = None,
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) -> Model:
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if provider_model_id is None:
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provider_model_id = model_id
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if provider_id is None:
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# If provider_id not specified, use the only provider if it supports this model
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if len(self.impls_by_provider_id) == 1:
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provider_id = list(self.impls_by_provider_id.keys())[0]
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else:
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raise ValueError(
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f"No provider specified and multiple providers available. Please specify a provider_id. Available providers: {self.impls_by_provider_id.keys()}"
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)
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if metadata is None:
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metadata = {}
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if model_type is None:
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model_type = ModelType.llm
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if "embedding_dimension" not in metadata and model_type == ModelType.embedding:
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raise ValueError("Embedding model must have an embedding dimension in its metadata")
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model = ModelWithACL(
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identifier=model_id,
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provider_resource_id=provider_model_id,
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provider_id=provider_id,
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metadata=metadata,
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model_type=model_type,
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)
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registered_model = await self.register_object(model)
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return registered_model
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async def unregister_model(self, model_id: str) -> None:
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existing_model = await self.get_model(model_id)
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if existing_model is None:
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raise ValueError(f"Model {model_id} not found")
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await self.unregister_object(existing_model)
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class ShieldsRoutingTable(CommonRoutingTableImpl, Shields):
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async def list_shields(self) -> ListShieldsResponse:
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return ListShieldsResponse(data=await self.get_all_with_type(ResourceType.shield.value))
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async def get_shield(self, identifier: str) -> Shield:
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shield = await self.get_object_by_identifier("shield", identifier)
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if shield is None:
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raise ValueError(f"Shield '{identifier}' not found")
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return shield
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async def register_shield(
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self,
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shield_id: str,
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provider_shield_id: str | None = None,
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provider_id: str | None = None,
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params: dict[str, Any] | None = None,
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) -> Shield:
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if provider_shield_id is None:
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provider_shield_id = shield_id
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if provider_id is None:
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# If provider_id not specified, use the only provider if it supports this shield type
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if len(self.impls_by_provider_id) == 1:
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provider_id = list(self.impls_by_provider_id.keys())[0]
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else:
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raise ValueError(
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"No provider specified and multiple providers available. Please specify a provider_id."
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)
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if params is None:
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params = {}
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shield = ShieldWithACL(
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identifier=shield_id,
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provider_resource_id=provider_shield_id,
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provider_id=provider_id,
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params=params,
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)
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await self.register_object(shield)
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return shield
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class VectorDBsRoutingTable(CommonRoutingTableImpl, VectorDBs):
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async def list_vector_dbs(self) -> ListVectorDBsResponse:
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return ListVectorDBsResponse(data=await self.get_all_with_type("vector_db"))
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async def get_vector_db(self, vector_db_id: str) -> VectorDB:
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vector_db = await self.get_object_by_identifier("vector_db", vector_db_id)
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if vector_db is None:
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raise ValueError(f"Vector DB '{vector_db_id}' not found")
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return vector_db
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async def register_vector_db(
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self,
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vector_db_id: str,
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embedding_model: str,
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embedding_dimension: int | None = 384,
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provider_id: str | None = None,
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provider_vector_db_id: str | None = None,
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) -> VectorDB:
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if provider_vector_db_id is None:
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provider_vector_db_id = vector_db_id
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if provider_id is None:
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if len(self.impls_by_provider_id) > 0:
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provider_id = list(self.impls_by_provider_id.keys())[0]
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if len(self.impls_by_provider_id) > 1:
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logger.warning(
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f"No provider specified and multiple providers available. Arbitrarily selected the first provider {provider_id}."
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)
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else:
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raise ValueError("No provider available. Please configure a vector_io provider.")
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model = await self.get_object_by_identifier("model", embedding_model)
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if model is None:
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raise ValueError(f"Model {embedding_model} not found")
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if model.model_type != ModelType.embedding:
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raise ValueError(f"Model {embedding_model} is not an embedding model")
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if "embedding_dimension" not in model.metadata:
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raise ValueError(f"Model {embedding_model} does not have an embedding dimension")
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vector_db_data = {
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"identifier": vector_db_id,
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"type": ResourceType.vector_db.value,
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"provider_id": provider_id,
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"provider_resource_id": provider_vector_db_id,
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"embedding_model": embedding_model,
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"embedding_dimension": model.metadata["embedding_dimension"],
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}
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vector_db = TypeAdapter(VectorDBWithACL).validate_python(vector_db_data)
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await self.register_object(vector_db)
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return vector_db
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async def unregister_vector_db(self, vector_db_id: str) -> None:
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existing_vector_db = await self.get_vector_db(vector_db_id)
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if existing_vector_db is None:
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raise ValueError(f"Vector DB {vector_db_id} not found")
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await self.unregister_object(existing_vector_db)
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class DatasetsRoutingTable(CommonRoutingTableImpl, Datasets):
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async def list_datasets(self) -> ListDatasetsResponse:
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return ListDatasetsResponse(data=await self.get_all_with_type(ResourceType.dataset.value))
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async def get_dataset(self, dataset_id: str) -> Dataset:
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dataset = await self.get_object_by_identifier("dataset", dataset_id)
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if dataset is None:
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raise ValueError(f"Dataset '{dataset_id}' not found")
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return dataset
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async def register_dataset(
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self,
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purpose: DatasetPurpose,
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source: DataSource,
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metadata: dict[str, Any] | None = None,
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dataset_id: str | None = None,
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) -> Dataset:
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if isinstance(source, dict):
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if source["type"] == "uri":
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source = URIDataSource.parse_obj(source)
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elif source["type"] == "rows":
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source = RowsDataSource.parse_obj(source)
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if not dataset_id:
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dataset_id = f"dataset-{str(uuid.uuid4())}"
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provider_dataset_id = dataset_id
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# infer provider from source
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if metadata:
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if metadata.get("provider_id"):
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provider_id = metadata.get("provider_id") # pass through from nvidia datasetio
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elif source.type == DatasetType.rows.value:
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provider_id = "localfs"
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elif source.type == DatasetType.uri.value:
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# infer provider from uri
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if source.uri.startswith("huggingface"):
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provider_id = "huggingface"
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else:
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provider_id = "localfs"
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else:
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raise ValueError(f"Unknown data source type: {source.type}")
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if metadata is None:
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metadata = {}
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dataset = DatasetWithACL(
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identifier=dataset_id,
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provider_resource_id=provider_dataset_id,
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provider_id=provider_id,
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purpose=purpose,
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source=source,
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metadata=metadata,
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)
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await self.register_object(dataset)
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return dataset
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async def unregister_dataset(self, dataset_id: str) -> None:
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dataset = await self.get_dataset(dataset_id)
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|
if dataset is None:
|
|
raise ValueError(f"Dataset {dataset_id} not found")
|
|
await self.unregister_object(dataset)
|
|
|
|
|
|
class ScoringFunctionsRoutingTable(CommonRoutingTableImpl, ScoringFunctions):
|
|
async def list_scoring_functions(self) -> ListScoringFunctionsResponse:
|
|
return ListScoringFunctionsResponse(data=await self.get_all_with_type(ResourceType.scoring_function.value))
|
|
|
|
async def get_scoring_function(self, scoring_fn_id: str) -> ScoringFn:
|
|
scoring_fn = await self.get_object_by_identifier("scoring_function", scoring_fn_id)
|
|
if scoring_fn is None:
|
|
raise ValueError(f"Scoring function '{scoring_fn_id}' not found")
|
|
return scoring_fn
|
|
|
|
async def register_scoring_function(
|
|
self,
|
|
scoring_fn_id: str,
|
|
description: str,
|
|
return_type: ParamType,
|
|
provider_scoring_fn_id: str | None = None,
|
|
provider_id: str | None = None,
|
|
params: ScoringFnParams | None = None,
|
|
) -> None:
|
|
if provider_scoring_fn_id is None:
|
|
provider_scoring_fn_id = scoring_fn_id
|
|
if provider_id is None:
|
|
if len(self.impls_by_provider_id) == 1:
|
|
provider_id = list(self.impls_by_provider_id.keys())[0]
|
|
else:
|
|
raise ValueError(
|
|
"No provider specified and multiple providers available. Please specify a provider_id."
|
|
)
|
|
scoring_fn = ScoringFnWithACL(
|
|
identifier=scoring_fn_id,
|
|
description=description,
|
|
return_type=return_type,
|
|
provider_resource_id=provider_scoring_fn_id,
|
|
provider_id=provider_id,
|
|
params=params,
|
|
)
|
|
scoring_fn.provider_id = provider_id
|
|
await self.register_object(scoring_fn)
|
|
|
|
|
|
class BenchmarksRoutingTable(CommonRoutingTableImpl, Benchmarks):
|
|
async def list_benchmarks(self) -> ListBenchmarksResponse:
|
|
return ListBenchmarksResponse(data=await self.get_all_with_type("benchmark"))
|
|
|
|
async def get_benchmark(self, benchmark_id: str) -> Benchmark:
|
|
benchmark = await self.get_object_by_identifier("benchmark", benchmark_id)
|
|
if benchmark is None:
|
|
raise ValueError(f"Benchmark '{benchmark_id}' not found")
|
|
return benchmark
|
|
|
|
async def register_benchmark(
|
|
self,
|
|
benchmark_id: str,
|
|
dataset_id: str,
|
|
scoring_functions: list[str],
|
|
metadata: dict[str, Any] | None = None,
|
|
provider_benchmark_id: str | None = None,
|
|
provider_id: str | None = None,
|
|
) -> None:
|
|
if metadata is None:
|
|
metadata = {}
|
|
if provider_id is None:
|
|
if len(self.impls_by_provider_id) == 1:
|
|
provider_id = list(self.impls_by_provider_id.keys())[0]
|
|
else:
|
|
raise ValueError(
|
|
"No provider specified and multiple providers available. Please specify a provider_id."
|
|
)
|
|
if provider_benchmark_id is None:
|
|
provider_benchmark_id = benchmark_id
|
|
benchmark = BenchmarkWithACL(
|
|
identifier=benchmark_id,
|
|
dataset_id=dataset_id,
|
|
scoring_functions=scoring_functions,
|
|
metadata=metadata,
|
|
provider_id=provider_id,
|
|
provider_resource_id=provider_benchmark_id,
|
|
)
|
|
await self.register_object(benchmark)
|
|
|
|
|
|
class ToolGroupsRoutingTable(CommonRoutingTableImpl, ToolGroups):
|
|
async def list_tools(self, toolgroup_id: str | None = None) -> ListToolsResponse:
|
|
tools = await self.get_all_with_type("tool")
|
|
if toolgroup_id:
|
|
tools = [tool for tool in tools if tool.toolgroup_id == toolgroup_id]
|
|
return ListToolsResponse(data=tools)
|
|
|
|
async def list_tool_groups(self) -> ListToolGroupsResponse:
|
|
return ListToolGroupsResponse(data=await self.get_all_with_type("tool_group"))
|
|
|
|
async def get_tool_group(self, toolgroup_id: str) -> ToolGroup:
|
|
tool_group = await self.get_object_by_identifier("tool_group", toolgroup_id)
|
|
if tool_group is None:
|
|
raise ValueError(f"Tool group '{toolgroup_id}' not found")
|
|
return tool_group
|
|
|
|
async def get_tool(self, tool_name: str) -> Tool:
|
|
return await self.get_object_by_identifier("tool", tool_name)
|
|
|
|
async def register_tool_group(
|
|
self,
|
|
toolgroup_id: str,
|
|
provider_id: str,
|
|
mcp_endpoint: URL | None = None,
|
|
args: dict[str, Any] | None = None,
|
|
) -> None:
|
|
tools = []
|
|
tool_defs = await self.impls_by_provider_id[provider_id].list_runtime_tools(toolgroup_id, mcp_endpoint)
|
|
tool_host = ToolHost.model_context_protocol if mcp_endpoint else ToolHost.distribution
|
|
|
|
for tool_def in tool_defs.data:
|
|
tools.append(
|
|
ToolWithACL(
|
|
identifier=tool_def.name,
|
|
toolgroup_id=toolgroup_id,
|
|
description=tool_def.description or "",
|
|
parameters=tool_def.parameters or [],
|
|
provider_id=provider_id,
|
|
provider_resource_id=tool_def.name,
|
|
metadata=tool_def.metadata,
|
|
tool_host=tool_host,
|
|
)
|
|
)
|
|
for tool in tools:
|
|
existing_tool = await self.get_tool(tool.identifier)
|
|
# Compare existing and new object if one exists
|
|
if existing_tool:
|
|
existing_dict = existing_tool.model_dump()
|
|
new_dict = tool.model_dump()
|
|
|
|
if existing_dict != new_dict:
|
|
raise ValueError(
|
|
f"Object {tool.identifier} already exists in registry. Please use a different identifier."
|
|
)
|
|
await self.register_object(tool)
|
|
|
|
await self.dist_registry.register(
|
|
ToolGroupWithACL(
|
|
identifier=toolgroup_id,
|
|
provider_id=provider_id,
|
|
provider_resource_id=toolgroup_id,
|
|
mcp_endpoint=mcp_endpoint,
|
|
args=args,
|
|
)
|
|
)
|
|
|
|
async def unregister_toolgroup(self, toolgroup_id: str) -> None:
|
|
tool_group = await self.get_tool_group(toolgroup_id)
|
|
if tool_group is None:
|
|
raise ValueError(f"Tool group {toolgroup_id} not found")
|
|
tools = await self.list_tools(toolgroup_id)
|
|
for tool in getattr(tools, "data", []):
|
|
await self.unregister_object(tool)
|
|
await self.unregister_object(tool_group)
|
|
|
|
async def shutdown(self) -> None:
|
|
pass
|