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chore(api): remove deprecated embeddings impls
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commit
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20 changed files with 3 additions and 927 deletions
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@ -17,7 +17,6 @@ from openai import AsyncOpenAI
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from llama_stack.apis.common.content_types import (
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ImageContentItem,
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InterleavedContent,
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InterleavedContentItem,
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TextContentItem,
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)
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from llama_stack.apis.common.errors import UnsupportedModelError
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@ -28,8 +27,6 @@ from llama_stack.apis.inference import (
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CompletionRequest,
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CompletionResponse,
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CompletionResponseStreamChunk,
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EmbeddingsResponse,
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EmbeddingTaskType,
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GrammarResponseFormat,
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InferenceProvider,
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JsonSchemaResponseFormat,
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@ -44,7 +41,6 @@ from llama_stack.apis.inference import (
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OpenAIResponseFormatParam,
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ResponseFormat,
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SamplingParams,
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TextTruncation,
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ToolChoice,
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ToolConfig,
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ToolDefinition,
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@ -76,9 +72,7 @@ from llama_stack.providers.utils.inference.openai_compat import (
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from llama_stack.providers.utils.inference.prompt_adapter import (
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chat_completion_request_to_prompt,
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completion_request_to_prompt,
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content_has_media,
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convert_image_content_to_url,
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interleaved_content_as_str,
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localize_image_content,
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request_has_media,
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)
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@ -394,27 +388,6 @@ class OllamaInferenceAdapter(
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async for chunk in process_chat_completion_stream_response(stream, request):
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yield chunk
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async def embeddings(
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self,
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model_id: str,
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contents: list[str] | list[InterleavedContentItem],
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text_truncation: TextTruncation | None = TextTruncation.none,
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output_dimension: int | None = None,
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task_type: EmbeddingTaskType | None = None,
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) -> EmbeddingsResponse:
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model = await self._get_model(model_id)
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assert all(not content_has_media(content) for content in contents), (
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"Ollama does not support media for embeddings"
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)
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response = await self.client.embed(
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model=model.provider_resource_id,
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input=[interleaved_content_as_str(content) for content in contents],
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)
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embeddings = response["embeddings"]
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return EmbeddingsResponse(embeddings=embeddings)
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async def register_model(self, model: Model) -> Model:
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try:
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model = await self.register_helper.register_model(model)
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