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fix(api): update embeddings signature so inputs and outputs list align (#1161)

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See Issue #922 

The change is slightly backwards incompatible but no callsite (in our
client codebases or stack-apps) every passes a depth-2
`List[List[InterleavedContentItem]]` (which is now disallowed.)

## 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
```

Also ran `tests/client-sdk/inference/test_embeddings.py`
This commit is contained in:
Ashwin Bharambe 2025-02-20 21:43:13 -08:00 • committed by GitHub
parent cfa752fc92
commit 6f9d622340
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17 changed files with 85 additions and 41 deletions
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26
llama_stack/providers/remote/inference/sambanova/sambanova.py
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@ -5,16 +5,36 @@
# the root directory of this source tree.
import json
from typing import AsyncGenerator
from typing import AsyncGenerator, List, Optional
from openai import OpenAI
from llama_stack.apis.common.content_types import (
ImageContentItem,
InterleavedContent,
InterleavedContentItem,
TextContentItem,
)
from llama_stack.apis.inference import * # noqa: F403
from llama_stack.apis.inference import (
ChatCompletionRequest,
ChatCompletionResponse,
CompletionMessage,
EmbeddingsResponse,
Inference,
LogProbConfig,
Message,
ResponseFormat,
SamplingParams,
StopReason,
SystemMessage,
ToolCall,
ToolChoice,
ToolConfig,
ToolDefinition,
ToolPromptFormat,
ToolResponseMessage,
UserMessage,
)
from llama_stack.models.llama.datatypes import (
GreedySamplingStrategy,
TopKSamplingStrategy,
@ -119,7 +139,7 @@ class SambaNovaInferenceAdapter(ModelRegistryHelper, Inference):
async def embeddings(
self,
model_id: str,
contents: List[InterleavedContent],
contents: List[str] | List[InterleavedContentItem],
) -> EmbeddingsResponse:
raise NotImplementedError()