API Updates (#73)

* 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>

llama_stack/cli/stack/build.py

@@ -0,0 +1,94 @@
+# 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 argparse
+
+from llama_stack.cli.subcommand import Subcommand
+from llama_stack.distribution.datatypes import *  # noqa: F403
+from pathlib import Path
+
+import yaml
+
+
+class StackBuild(Subcommand):
+    def __init__(self, subparsers: argparse._SubParsersAction):
+        super().__init__()
+        self.parser = subparsers.add_parser(
+            "build",
+            prog="llama stack build",
+            description="Build a Llama stack container",
+            formatter_class=argparse.RawTextHelpFormatter,
+        )
+        self._add_arguments()
+        self.parser.set_defaults(func=self._run_stack_build_command)
+
+    def _add_arguments(self):
+        self.parser.add_argument(
+            "config",
+            type=str,
+            help="Path to a config file to use for the build. You may find example configs in llama_stack/distribution/example_configs",
+        )
+
+        self.parser.add_argument(
+            "--name",
+            type=str,
+            help="Name of the llama stack build to override from template config",
+        )
+
+    def _run_stack_build_command_from_build_config(
+        self, build_config: BuildConfig
+    ) -> None:
+        import json
+        import os
+
+        from llama_stack.distribution.utils.config_dirs import DISTRIBS_BASE_DIR
+        from llama_stack.distribution.utils.serialize import EnumEncoder
+        from llama_stack.distribution.build import ApiInput, build_image, ImageType
+        from termcolor import cprint
+
+        # save build.yaml spec for building same distribution again
+        if build_config.image_type == ImageType.docker.value:
+            # docker needs build file to be in the llama-stack repo dir to be able to copy over to the image
+            llama_stack_path = Path(os.path.relpath(__file__)).parent.parent.parent
+            build_dir = (
+                llama_stack_path / "configs/distributions" / build_config.image_type
+            )
+        else:
+            build_dir = DISTRIBS_BASE_DIR / build_config.image_type
+
+        os.makedirs(build_dir, exist_ok=True)
+        build_file_path = build_dir / f"{build_config.name}-build.yaml"
+
+        with open(build_file_path, "w") as f:
+            to_write = json.loads(json.dumps(build_config.dict(), cls=EnumEncoder))
+            f.write(yaml.dump(to_write, sort_keys=False))
+
+        build_image(build_config, build_file_path)
+
+        cprint(
+            f"Build spec configuration saved at {str(build_file_path)}",
+            color="green",
+        )
+
+    def _run_stack_build_command(self, args: argparse.Namespace) -> None:
+        from llama_stack.distribution.utils.prompt_for_config import prompt_for_config
+        from llama_stack.distribution.utils.dynamic import instantiate_class_type
+
+        if not args.config:
+            self.parser.error(
+                "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"
+            )
+            return
+
+        with open(args.config, "r") as f:
+            try:
+                build_config = BuildConfig(**yaml.safe_load(f))
+            except Exception as e:
+                self.parser.error(f"Could not parse config file {args.config}: {e}")
+                return
+            if args.name:
+                build_config.name = args.name
+            self._run_stack_build_command_from_build_config(build_config)