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/safety/meta_reference/config.py

@@ -1,55 +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.
-
-from typing import List, Optional
-
-from llama_models.sku_list import CoreModelId, safety_models
-
-from pydantic import BaseModel, validator
-
-
-class LlamaGuardShieldConfig(BaseModel):
-    model: str = "Llama-Guard-3-8B"
-    excluded_categories: List[str] = []
-    disable_input_check: bool = False
-    disable_output_check: bool = False
-
-    @validator("model")
-    @classmethod
-    def validate_model(cls, model: str) -> str:
-        permitted_models = [
-            m.descriptor()
-            for m in safety_models()
-            if m.core_model_id == CoreModelId.llama_guard_3_8b
-        ]
-        if model not in permitted_models:
-            raise ValueError(
-                f"Invalid model: {model}. Must be one of {permitted_models}"
-            )
-        return model
-
-
-class PromptGuardShieldConfig(BaseModel):
-    model: str = "Prompt-Guard-86M"
-
-    @validator("model")
-    @classmethod
-    def validate_model(cls, model: str) -> str:
-        permitted_models = [
-            m.descriptor()
-            for m in safety_models()
-            if m.core_model_id == CoreModelId.prompt_guard_86m
-        ]
-        if model not in permitted_models:
-            raise ValueError(
-                f"Invalid model: {model}. Must be one of {permitted_models}"
-            )
-        return model
-
-
-class SafetyConfig(BaseModel):
-    llama_guard_shield: Optional[LlamaGuardShieldConfig] = None
-    prompt_guard_shield: Optional[PromptGuardShieldConfig] = None