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/apis/reward_scoring/__init__.py

@@ -0,0 +1,7 @@
+# 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 .reward_scoring import *  # noqa: F401 F403

llama_stack/apis/reward_scoring/reward_scoring.py

@@ -0,0 +1,55 @@
+# 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, Protocol, Union
+
+from llama_models.schema_utils import json_schema_type, webmethod
+
+from pydantic import BaseModel
+
+from llama_models.llama3.api.datatypes import *  # noqa: F403
+
+
+@json_schema_type
+class ScoredMessage(BaseModel):
+    message: Message
+    score: float
+
+
+@json_schema_type
+class DialogGenerations(BaseModel):
+    dialog: List[Message]
+    sampled_generations: List[Message]
+
+
+@json_schema_type
+class ScoredDialogGenerations(BaseModel):
+    dialog: List[Message]
+    scored_generations: List[ScoredMessage]
+
+
+@json_schema_type
+class RewardScoringRequest(BaseModel):
+    """Request to score a reward function. A list of prompts and a list of responses per prompt."""
+
+    dialog_generations: List[DialogGenerations]
+    model: str
+
+
+@json_schema_type
+class RewardScoringResponse(BaseModel):
+    """Response from the reward scoring. Batch of (prompt, response, score) tuples that pass the threshold."""
+
+    scored_generations: List[ScoredDialogGenerations]
+
+
+class RewardScoring(Protocol):
+    @webmethod(route="/reward_scoring/score")
+    def reward_score(
+        self,
+        dialog_generations: List[DialogGenerations],
+        model: str,
+    ) -> Union[RewardScoringResponse]: ...