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

llama_stack/inference/adapters/tgi/config.py

@@ -1,29 +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 Optional
-
-from llama_models.schema_utils import json_schema_type
-from pydantic import BaseModel, Field
-
-
-@json_schema_type
-class TGIImplConfig(BaseModel):
-    url: Optional[str] = Field(
-        default=None,
-        description="The URL for the local TGI endpoint (e.g., http://localhost:8080)",
-    )
-    api_token: Optional[str] = Field(
-        default=None,
-        description="The HF token for Hugging Face Inference Endpoints (will default to locally saved token if not provided)",
-    )
-    hf_endpoint_name: Optional[str] = Field(
-        default=None,
-        description="The name of the Hugging Face Inference Endpoint : can be either in the format of '{namespace}/{endpoint_name}' (namespace can be the username or organization name) or just '{endpoint_name}' if logged into the same account as the namespace",
-    )
-
-    def is_inference_endpoint(self) -> bool:
-        return self.hf_endpoint_name is not None