impls -> inline, adapters -> remote (#381)

llama_stack/providers/adapters/inference/tgi/config.py

@@ -1,48 +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):
-    host: str = "localhost"
-    port: int = 8080
-    protocol: str = "http"
-
-    @property
-    def url(self) -> str:
-        return f"{self.protocol}://{self.host}:{self.port}"
-
-    api_token: Optional[str] = Field(
-        default=None,
-        description="A bearer token if your TGI endpoint is protected.",
-    )
-
-
-@json_schema_type
-class InferenceEndpointImplConfig(BaseModel):
-    endpoint_name: str = Field(
-        description="The name of the Hugging Face Inference Endpoint in the format of '{namespace}/{endpoint_name}' (e.g. 'my-cool-org/meta-llama-3-1-8b-instruct-rce'). Namespace is optional and will default to the user account if not provided.",
-    )
-    api_token: Optional[str] = Field(
-        default=None,
-        description="Your Hugging Face user access token (will default to locally saved token if not provided)",
-    )
-
-
-@json_schema_type
-class InferenceAPIImplConfig(BaseModel):
-    huggingface_repo: str = Field(
-        description="The model ID of the model on the Hugging Face Hub (e.g. 'meta-llama/Meta-Llama-3.1-70B-Instruct')",
-    )
-    api_token: Optional[str] = Field(
-        default=None,
-        description="Your Hugging Face user access token (will default to locally saved token if not provided)",
-    )