fix: rename llama_stack_api dir (#4155)

# What does this PR do?

the directory structure was src/llama-stack-api/llama_stack_api

instead it should just be src/llama_stack_api to match the other
packages.

update the structure and pyproject/linting config

---------

Signed-off-by: Charlie Doern <cdoern@redhat.com>
Co-authored-by: Ashwin Bharambe <ashwin.bharambe@gmail.com>

src/llama-stack-api/llama_stack_api/models.py

@@ -1,172 +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 enum import StrEnum
-from typing import Any, Literal, Protocol, runtime_checkable
-
-from pydantic import BaseModel, ConfigDict, Field, field_validator
-
-from llama_stack_api.common.tracing import telemetry_traceable
-from llama_stack_api.resource import Resource, ResourceType
-from llama_stack_api.schema_utils import json_schema_type, webmethod
-from llama_stack_api.version import LLAMA_STACK_API_V1
-
-
-class CommonModelFields(BaseModel):
-    metadata: dict[str, Any] = Field(
-        default_factory=dict,
-        description="Any additional metadata for this model",
-    )
-
-
-@json_schema_type
-class ModelType(StrEnum):
-    """Enumeration of supported model types in Llama Stack.
-    :cvar llm: Large language model for text generation and completion
-    :cvar embedding: Embedding model for converting text to vector representations
-    :cvar rerank: Reranking model for reordering documents based on their relevance to a query
-    """
-
-    llm = "llm"
-    embedding = "embedding"
-    rerank = "rerank"
-
-
-@json_schema_type
-class Model(CommonModelFields, Resource):
-    """A model resource representing an AI model registered in Llama Stack.
-
-    :param type: The resource type, always 'model' for model resources
-    :param model_type: The type of model (LLM or embedding model)
-    :param metadata: Any additional metadata for this model
-    :param identifier: Unique identifier for this resource in llama stack
-    :param provider_resource_id: Unique identifier for this resource in the provider
-    :param provider_id: ID of the provider that owns this resource
-    """
-
-    type: Literal[ResourceType.model] = ResourceType.model
-
-    @property
-    def model_id(self) -> str:
-        return self.identifier
-
-    @property
-    def provider_model_id(self) -> str:
-        assert self.provider_resource_id is not None, "Provider resource ID must be set"
-        return self.provider_resource_id
-
-    model_config = ConfigDict(protected_namespaces=())
-
-    model_type: ModelType = Field(default=ModelType.llm)
-
-    @field_validator("provider_resource_id")
-    @classmethod
-    def validate_provider_resource_id(cls, v):
-        if v is None:
-            raise ValueError("provider_resource_id cannot be None")
-        return v
-
-
-class ModelInput(CommonModelFields):
-    model_id: str
-    provider_id: str | None = None
-    provider_model_id: str | None = None
-    model_type: ModelType | None = ModelType.llm
-    model_config = ConfigDict(protected_namespaces=())
-
-
-class ListModelsResponse(BaseModel):
-    data: list[Model]
-
-
-@json_schema_type
-class OpenAIModel(BaseModel):
-    """A model from OpenAI.
-
-    :id: The ID of the model
-    :object: The object type, which will be "model"
-    :created: The Unix timestamp in seconds when the model was created
-    :owned_by: The owner of the model
-    :custom_metadata: Llama Stack-specific metadata including model_type, provider info, and additional metadata
-    """
-
-    id: str
-    object: Literal["model"] = "model"
-    created: int
-    owned_by: str
-    custom_metadata: dict[str, Any] | None = None
-
-
-class OpenAIListModelsResponse(BaseModel):
-    data: list[OpenAIModel]
-
-
-@runtime_checkable
-@telemetry_traceable
-class Models(Protocol):
-    async def list_models(self) -> ListModelsResponse:
-        """List all models.
-
-        :returns: A ListModelsResponse.
-        """
-        ...
-
-    @webmethod(route="/models", method="GET", level=LLAMA_STACK_API_V1)
-    async def openai_list_models(self) -> OpenAIListModelsResponse:
-        """List models using the OpenAI API.
-
-        :returns: A OpenAIListModelsResponse.
-        """
-        ...
-
-    @webmethod(route="/models/{model_id:path}", method="GET", level=LLAMA_STACK_API_V1)
-    async def get_model(
-        self,
-        model_id: str,
-    ) -> Model:
-        """Get model.
-
-        Get a model by its identifier.
-
-        :param model_id: The identifier of the model to get.
-        :returns: A Model.
-        """
-        ...
-
-    @webmethod(route="/models", method="POST", level=LLAMA_STACK_API_V1, deprecated=True)
-    async def register_model(
-        self,
-        model_id: str,
-        provider_model_id: str | None = None,
-        provider_id: str | None = None,
-        metadata: dict[str, Any] | None = None,
-        model_type: ModelType | None = None,
-    ) -> Model:
-        """Register model.
-
-        Register a model.
-
-        :param model_id: The identifier of the model to register.
-        :param provider_model_id: The identifier of the model in the provider.
-        :param provider_id: The identifier of the provider.
-        :param metadata: Any additional metadata for this model.
-        :param model_type: The type of model to register.
-        :returns: A Model.
-        """
-        ...
-
-    @webmethod(route="/models/{model_id:path}", method="DELETE", level=LLAMA_STACK_API_V1, deprecated=True)
-    async def unregister_model(
-        self,
-        model_id: str,
-    ) -> None:
-        """Unregister model.
-
-        Unregister a model.
-
-        :param model_id: The identifier of the model to unregister.
-        """
-        ...