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_toolchain/cli/llama.py

@@ -1,58 +0,0 @@
-# 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 .download import Download
-from .model import ModelParser
-from .stack import StackParser
-
-
-class LlamaCLIParser:
-    """Defines CLI parser for Llama CLI"""
-
-    def __init__(self):
-        self.parser = argparse.ArgumentParser(
-            prog="llama",
-            description="Welcome to the Llama CLI",
-            add_help=True,
-        )
-
-        # Default command is to print help
-        self.parser.set_defaults(func=lambda args: self.parser.print_help())
-
-        subparsers = self.parser.add_subparsers(title="subcommands")
-
-        # Add sub-commands
-        Download.create(subparsers)
-        ModelParser.create(subparsers)
-        StackParser.create(subparsers)
-
-        # Import sub-commands from agentic_system if they exist
-        try:
-            from llama_agentic_system.cli.subcommand_modules import SUBCOMMAND_MODULES
-
-            for module in SUBCOMMAND_MODULES:
-                module.create(subparsers)
-
-        except ImportError:
-            pass
-
-    def parse_args(self) -> argparse.Namespace:
-        return self.parser.parse_args()
-
-    def run(self, args: argparse.Namespace) -> None:
-        args.func(args)
-
-
-def main():
-    parser = LlamaCLIParser()
-    args = parser.parse_args()
-    parser.run(args)
-
-
-if __name__ == "__main__":
-    main()