llama-stack-mirror/llama_stack/apis/models/models.py
Sébastien Han 36d70637b9
fix: finish conversion to StrEnum (#2514)
# What does this PR do?

We still had a few enum declared to behave like string as well as enum.
Let's use StrEnum for those.

Signed-off-by: Sébastien Han <seb@redhat.com>
2025-06-26 08:01:26 +05:30

139 lines
3.7 KiB
Python

# 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
from llama_stack.apis.resource import Resource, ResourceType
from llama_stack.providers.utils.telemetry.trace_protocol import trace_protocol
from llama_stack.schema_utils import json_schema_type, webmethod
class CommonModelFields(BaseModel):
metadata: dict[str, Any] = Field(
default_factory=dict,
description="Any additional metadata for this model",
)
@json_schema_type
class ModelType(StrEnum):
llm = "llm"
embedding = "embedding"
@json_schema_type
class Model(CommonModelFields, Resource):
type: Literal[ResourceType.model] = ResourceType.model
@property
def model_id(self) -> str:
return self.identifier
@property
def provider_model_id(self) -> str | None:
return self.provider_resource_id
model_config = ConfigDict(protected_namespaces=())
model_type: ModelType = Field(default=ModelType.llm)
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
"""
id: str
object: Literal["model"] = "model"
created: int
owned_by: str
class OpenAIListModelsResponse(BaseModel):
data: list[OpenAIModel]
@runtime_checkable
@trace_protocol
class Models(Protocol):
@webmethod(route="/models", method="GET")
async def list_models(self) -> ListModelsResponse:
"""List all models.
:returns: A ListModelsResponse.
"""
...
@webmethod(route="/openai/v1/models", method="GET")
async def openai_list_models(self) -> OpenAIListModelsResponse:
"""List models using the OpenAI API.
:returns: A OpenAIListModelsResponse.
"""
...
@webmethod(route="/models/{model_id:path}", method="GET")
async def get_model(
self,
model_id: str,
) -> 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")
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 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")
async def unregister_model(
self,
model_id: str,
) -> None:
"""Unregister a model.
:param model_id: The identifier of the model to unregister.
"""
...