Clean up some more usage of direct OpenAI types

llama_stack/distribution/routers/routers.py

@@ -7,9 +7,6 @@
 import time
 from typing import Any, AsyncGenerator, AsyncIterator, Dict, List, Optional, Union
 
-from openai.types.chat import ChatCompletion as OpenAIChatCompletion
-from openai.types.completion import Completion as OpenAICompletion
-
 from llama_stack.apis.common.content_types import (
     URL,
     InterleavedContent,
@@ -38,7 +35,7 @@ from llama_stack.apis.inference import (
     ToolDefinition,
     ToolPromptFormat,
 )
-from llama_stack.apis.inference.inference import OpenAIMessageParam
+from llama_stack.apis.inference.inference import OpenAIChatCompletion, OpenAICompletion, OpenAIMessageParam
 from llama_stack.apis.models import Model, ModelType
 from llama_stack.apis.safety import RunShieldResponse, Safety
 from llama_stack.apis.scoring import (

llama_stack/providers/inline/inference/sentence_transformers/sentence_transformers.py

@@ -5,10 +5,7 @@
 # the root directory of this source tree.
 
 import logging
-from typing import Any, AsyncGenerator, Dict, List, Optional, Union
+from typing import AsyncGenerator, List, Optional, Union
-
-from openai.types.chat import ChatCompletion as OpenAIChatCompletion
-from openai.types.completion import Completion as OpenAICompletion
 
 from llama_stack.apis.inference import (
     CompletionResponse,
@@ -22,11 +19,14 @@ from llama_stack.apis.inference import (
     ToolDefinition,
     ToolPromptFormat,
 )
-from llama_stack.apis.inference.inference import OpenAIMessageParam
 from llama_stack.providers.datatypes import Model, ModelsProtocolPrivate
 from llama_stack.providers.utils.inference.embedding_mixin import (
     SentenceTransformerEmbeddingMixin,
 )
+from llama_stack.providers.utils.inference.openai_compat import (
+    OpenAIChatCompletionUnsupportedMixin,
+    OpenAICompletionUnsupportedMixin,
+)
 
 from .config import SentenceTransformersInferenceConfig
 
@@ -34,6 +34,8 @@ log = logging.getLogger(__name__)
 
 
 class SentenceTransformersInferenceImpl(
+    OpenAIChatCompletionUnsupportedMixin,
+    OpenAICompletionUnsupportedMixin,
     SentenceTransformerEmbeddingMixin,
     Inference,
     ModelsProtocolPrivate,
@@ -78,53 +80,3 @@ class SentenceTransformersInferenceImpl(
         tool_config: Optional[ToolConfig] = None,
     ) -> AsyncGenerator:
         raise ValueError("Sentence transformers don't support chat completion")
-
-    async def openai_completion(
-        self,
-        model: str,
-        prompt: str,
-        best_of: Optional[int] = None,
-        echo: Optional[bool] = None,
-        frequency_penalty: Optional[float] = None,
-        logit_bias: Optional[Dict[str, float]] = None,
-        logprobs: Optional[bool] = None,
-        max_tokens: Optional[int] = None,
-        n: Optional[int] = None,
-        presence_penalty: Optional[float] = None,
-        seed: Optional[int] = None,
-        stop: Optional[Union[str, List[str]]] = None,
-        stream: Optional[bool] = None,
-        stream_options: Optional[Dict[str, Any]] = None,
-        temperature: Optional[float] = None,
-        top_p: Optional[float] = None,
-        user: Optional[str] = None,
-    ) -> OpenAICompletion:
-        raise ValueError("Sentence transformers don't support openai completion")
-
-    async def openai_chat_completion(
-        self,
-        model: str,
-        messages: List[OpenAIMessageParam],
-        frequency_penalty: Optional[float] = None,
-        function_call: Optional[Union[str, Dict[str, Any]]] = None,
-        functions: Optional[List[Dict[str, Any]]] = None,
-        logit_bias: Optional[Dict[str, float]] = None,
-        logprobs: Optional[bool] = None,
-        max_completion_tokens: Optional[int] = None,
-        max_tokens: Optional[int] = None,
-        n: Optional[int] = None,
-        parallel_tool_calls: Optional[bool] = None,
-        presence_penalty: Optional[float] = None,
-        response_format: Optional[Dict[str, str]] = None,
-        seed: Optional[int] = None,
-        stop: Optional[Union[str, List[str]]] = None,
-        stream: Optional[bool] = None,
-        stream_options: Optional[Dict[str, Any]] = None,
-        temperature: Optional[float] = None,
-        tool_choice: Optional[Union[str, Dict[str, Any]]] = None,
-        tools: Optional[List[Dict[str, Any]]] = None,
-        top_logprobs: Optional[int] = None,
-        top_p: Optional[float] = None,
-        user: Optional[str] = None,
-    ) -> OpenAIChatCompletion:
-        raise ValueError("Sentence transformers don't support openai chat completion")

llama_stack/providers/remote/inference/vllm/vllm.py

@@ -9,11 +9,9 @@ from typing import Any, AsyncGenerator, Dict, List, Optional, Union
 
 import httpx
 from openai import AsyncOpenAI
-from openai.types.chat import ChatCompletion as OpenAIChatCompletion
 from openai.types.chat.chat_completion_chunk import (
     ChatCompletionChunk as OpenAIChatCompletionChunk,
 )
-from openai.types.completion import Completion as OpenAICompletion
 
 from llama_stack.apis.common.content_types import (
     InterleavedContent,
@@ -47,7 +45,7 @@ from llama_stack.apis.inference import (
     ToolDefinition,
     ToolPromptFormat,
 )
-from llama_stack.apis.inference.inference import OpenAIMessageParam
+from llama_stack.apis.inference.inference import OpenAIChatCompletion, OpenAICompletion, OpenAIMessageParam
 from llama_stack.apis.models import Model, ModelType
 from llama_stack.models.llama.datatypes import BuiltinTool, StopReason, ToolCall
 from llama_stack.models.llama.sku_list import all_registered_models

llama_stack/providers/utils/inference/openai_compat.py

@@ -9,7 +9,6 @@ import warnings
 from typing import Any, AsyncGenerator, Dict, Iterable, List, Optional, Union
 
 from openai import AsyncStream
-from openai.types.chat import ChatCompletion as OpenAIChatCompletion
 from openai.types.chat import (
     ChatCompletionAssistantMessageParam as OpenAIChatCompletionAssistantMessage,
 )
@@ -55,7 +54,6 @@ from openai.types.chat.chat_completion_content_part_image_param import (
 from openai.types.chat.chat_completion_message_tool_call_param import (
     Function as OpenAIFunction,
 )
-from openai.types.completion import Completion as OpenAICompletion
 from pydantic import BaseModel
 
 from llama_stack.apis.common.content_types import (
@@ -85,6 +83,7 @@ from llama_stack.apis.inference import (
     TopPSamplingStrategy,
     UserMessage,
 )
+from llama_stack.apis.inference.inference import OpenAIChatCompletion, OpenAICompletion
 from llama_stack.models.llama.datatypes import (
     BuiltinTool,
     StopReason,