forked from phoenix-oss/llama-stack-mirror
* API Keys passed from Client instead of distro configuration * delete distribution registry * Rename the "package" word away * Introduce a "Router" layer for providers Some providers need to be factorized and considered as thin routing layers on top of other providers. Consider two examples: - The inference API should be a routing layer over inference providers, routed using the "model" key - The memory banks API is another instance where various memory bank types will be provided by independent providers (e.g., a vector store is served by Chroma while a keyvalue memory can be served by Redis or PGVector) This commit introduces a generalized routing layer for this purpose. * update `apis_to_serve` * llama_toolchain -> llama_stack * Codemod from llama_toolchain -> llama_stack - added providers/registry - cleaned up api/ subdirectories and moved impls away - restructured api/api.py - from llama_stack.apis.<api> import foo should work now - update imports to do llama_stack.apis.<api> - update many other imports - added __init__, fixed some registry imports - updated registry imports - create_agentic_system -> create_agent - AgenticSystem -> Agent * Moved some stuff out of common/; re-generated OpenAPI spec * llama-toolchain -> llama-stack (hyphens) * add control plane API * add redis adapter + sqlite provider * move core -> distribution * Some more toolchain -> stack changes * small naming shenanigans * Removing custom tool and agent utilities and moving them client side * Move control plane to distribution server for now * Remove control plane from API list * no codeshield dependency randomly plzzzzz * Add "fire" as a dependency * add back event loggers * stack configure fixes * use brave instead of bing in the example client * add init file so it gets packaged * add init files so it gets packaged * Update MANIFEST * bug fix --------- Co-authored-by: Hardik Shah <hjshah@fb.com> Co-authored-by: Xi Yan <xiyan@meta.com> Co-authored-by: Ashwin Bharambe <ashwin@meta.com>
66 lines
2.2 KiB
Python
66 lines
2.2 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 importlib
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from typing import Any, Dict
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from llama_stack.distribution.datatypes import * # noqa: F403
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def instantiate_class_type(fully_qualified_name):
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module_name, class_name = fully_qualified_name.rsplit(".", 1)
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module = importlib.import_module(module_name)
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return getattr(module, class_name)
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# returns a class implementing the protocol corresponding to the Api
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async def instantiate_provider(
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provider_spec: ProviderSpec,
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deps: Dict[str, Any],
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provider_config: ProviderMapEntry,
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):
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module = importlib.import_module(provider_spec.module)
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args = []
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if isinstance(provider_spec, RemoteProviderSpec):
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if provider_spec.adapter:
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method = "get_adapter_impl"
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else:
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method = "get_client_impl"
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assert isinstance(provider_config, GenericProviderConfig)
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config_type = instantiate_class_type(provider_spec.config_class)
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config = config_type(**provider_config.config)
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args = [config, deps]
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elif isinstance(provider_spec, RouterProviderSpec):
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method = "get_router_impl"
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assert isinstance(provider_config, list)
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inner_specs = {x.provider_id: x for x in provider_spec.inner_specs}
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inner_impls = []
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for routing_entry in provider_config:
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impl = await instantiate_provider(
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inner_specs[routing_entry.provider_id],
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deps,
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routing_entry,
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)
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inner_impls.append((routing_entry.routing_key, impl))
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config = None
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args = [inner_impls, deps]
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else:
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method = "get_provider_impl"
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assert isinstance(provider_config, GenericProviderConfig)
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config_type = instantiate_class_type(provider_spec.config_class)
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config = config_type(**provider_config.config)
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args = [config, deps]
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fn = getattr(module, method)
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impl = await fn(*args)
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impl.__provider_spec__ = provider_spec
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impl.__provider_config__ = config
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return impl
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