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feat(api): Add options for supporting various embedding models (#1192)

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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
```
This commit is contained in:
Ashwin Bharambe 2025-02-20 22:27:12 -08:00 • committed by GitHub
parent 6f9d622340
commit 81ce39a607
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19 changed files with 202 additions and 11 deletions
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llama_stack/providers/remote/inference/runpod/runpod.py
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@ -121,5 +121,8 @@ class RunpodInferenceAdapter(ModelRegistryHelper, Inference):
self,
model: str,
contents: List[str] | List[InterleavedContentItem],
text_truncation: Optional[TextTruncation] = TextTruncation.none,
output_dimension: Optional[int] = None,
task_type: Optional[EmbeddingTaskType] = None,
) -> EmbeddingsResponse:
raise NotImplementedError()