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>
94 lines
3.5 KiB
Python
94 lines
3.5 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 argparse
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from llama_stack.cli.subcommand import Subcommand
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from llama_stack.distribution.datatypes import * # noqa: F403
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from pathlib import Path
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import yaml
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class StackBuild(Subcommand):
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def __init__(self, subparsers: argparse._SubParsersAction):
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super().__init__()
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self.parser = subparsers.add_parser(
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"build",
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prog="llama stack build",
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description="Build a Llama stack container",
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formatter_class=argparse.RawTextHelpFormatter,
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)
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self._add_arguments()
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self.parser.set_defaults(func=self._run_stack_build_command)
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def _add_arguments(self):
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self.parser.add_argument(
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"config",
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type=str,
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help="Path to a config file to use for the build. You may find example configs in llama_stack/distribution/example_configs",
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)
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self.parser.add_argument(
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"--name",
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type=str,
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help="Name of the llama stack build to override from template config",
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)
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def _run_stack_build_command_from_build_config(
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self, build_config: BuildConfig
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) -> None:
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import json
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import os
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from llama_stack.distribution.utils.config_dirs import DISTRIBS_BASE_DIR
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from llama_stack.distribution.utils.serialize import EnumEncoder
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from llama_stack.distribution.build import ApiInput, build_image, ImageType
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from termcolor import cprint
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# save build.yaml spec for building same distribution again
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if build_config.image_type == ImageType.docker.value:
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# docker needs build file to be in the llama-stack repo dir to be able to copy over to the image
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llama_stack_path = Path(os.path.relpath(__file__)).parent.parent.parent
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build_dir = (
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llama_stack_path / "configs/distributions" / build_config.image_type
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)
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else:
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build_dir = DISTRIBS_BASE_DIR / build_config.image_type
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os.makedirs(build_dir, exist_ok=True)
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build_file_path = build_dir / f"{build_config.name}-build.yaml"
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with open(build_file_path, "w") as f:
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to_write = json.loads(json.dumps(build_config.dict(), cls=EnumEncoder))
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f.write(yaml.dump(to_write, sort_keys=False))
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build_image(build_config, build_file_path)
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cprint(
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f"Build spec configuration saved at {str(build_file_path)}",
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color="green",
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)
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def _run_stack_build_command(self, args: argparse.Namespace) -> None:
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from llama_stack.distribution.utils.prompt_for_config import prompt_for_config
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from llama_stack.distribution.utils.dynamic import instantiate_class_type
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if not args.config:
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self.parser.error(
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"No config file specified. Please use `llama stack build /path/to/*-build.yaml`. Example config files can be found in llama_stack/distribution/example_configs"
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)
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return
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with open(args.config, "r") as f:
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try:
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build_config = BuildConfig(**yaml.safe_load(f))
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except Exception as e:
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self.parser.error(f"Could not parse config file {args.config}: {e}")
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return
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if args.name:
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build_config.name = args.name
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self._run_stack_build_command_from_build_config(build_config)
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