forked from phoenix-oss/llama-stack-mirror
feat(api): Add options for supporting various embedding models (#1192)
We need to support: - asymmetric embedding models (#934) - truncation policies (#933) - varying dimensional output (#932) ## Test Plan ```bash $ cd llama_stack/providers/tests/inference $ pytest -s -v -k fireworks test_embeddings.py \ --inference-model nomic-ai/nomic-embed-text-v1.5 --env EMBEDDING_DIMENSION=784 $ pytest -s -v -k together test_embeddings.py \ --inference-model togethercomputer/m2-bert-80M-8k-retrieval --env EMBEDDING_DIMENSION=784 $ pytest -s -v -k ollama test_embeddings.py \ --inference-model all-minilm:latest --env EMBEDDING_DIMENSION=784 ```
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19 changed files with 202 additions and 11 deletions
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@ -28,12 +28,14 @@ from llama_stack.apis.inference import (
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CompletionResponse,
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CompletionResponseStreamChunk,
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EmbeddingsResponse,
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EmbeddingTaskType,
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Inference,
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LogProbConfig,
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Message,
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ResponseFormat,
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ResponseFormatType,
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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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@ -383,6 +385,9 @@ class VLLMInferenceAdapter(Inference, ModelsProtocolPrivate):
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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: Optional[TextTruncation] = TextTruncation.none,
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output_dimension: Optional[int] = None,
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task_type: Optional[EmbeddingTaskType] = None,
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) -> EmbeddingsResponse:
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model = await self.model_store.get_model(model_id)
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