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Merge 821d09af3d into 9c751b6789

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Mustafa Elbehery 2025-09-26 12:08:06 +02:00 • committed by GitHub
commit 796db0681c
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3 changed files with 6 additions and 6 deletions
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7
llama_stack/providers/inline/inference/sentence_transformers/sentence_transformers.py
View file

@ -9,6 +9,7 @@ from collections.abc import AsyncGenerator
from llama_stack.apis.inference import (
CompletionResponse,
InferenceProvider,
InterleavedContent,
LogProbConfig,
Message,
ResponseFormat,
@ -34,7 +35,7 @@ from .config import SentenceTransformersInferenceConfig
log = get_logger(name=__name__, category="inference")
class SentenceTransformersInferenceImpl(
class SentenceTransformersInferenceImpl( # type: ignore[misc]
OpenAIChatCompletionToLlamaStackMixin,
OpenAICompletionToLlamaStackMixin,
SentenceTransformerEmbeddingMixin,
@ -77,7 +78,7 @@ class SentenceTransformersInferenceImpl(
async def completion(
self,
model_id: str,
content: str,
content: InterleavedContent,
sampling_params: SamplingParams | None = None,
response_format: ResponseFormat | None = None,
stream: bool | None = False,
@ -90,10 +91,10 @@ class SentenceTransformersInferenceImpl(
model_id: str,
messages: list[Message],
sampling_params: SamplingParams | None = None,
response_format: ResponseFormat | None = None,
tools: list[ToolDefinition] | None = None,
tool_choice: ToolChoice | None = ToolChoice.auto,
tool_prompt_format: ToolPromptFormat | None = None,
response_format: ResponseFormat | None = None,
stream: bool | None = False,
logprobs: LogProbConfig | None = None,
tool_config: ToolConfig | None = None,

4
llama_stack/providers/registry/post_training.py
View file

@ -5,13 +5,13 @@
# the root directory of this source tree.
from typing import cast
from typing import Any, cast
from llama_stack.providers.datatypes import Api, InlineProviderSpec, ProviderSpec, RemoteProviderSpec
# We provide two versions of these providers so that distributions can package the appropriate version of torch.
# The CPU version is used for distributions that don't have GPU support -- they result in smaller container images.
torchtune_def = dict(
torchtune_def: dict[str, Any] = dict(
api=Api.post_training,
pip_packages=["numpy"],
module="llama_stack.providers.inline.post_training.torchtune",

1
pyproject.toml
View file

@ -268,7 +268,6 @@ exclude = [
"^llama_stack/models/llama/llama3/multimodal/model\\.py$",
"^llama_stack/models/llama/llama4/",
"^llama_stack/providers/inline/inference/meta_reference/quantization/fp8_impls\\.py$",
"^llama_stack/providers/inline/inference/sentence_transformers/sentence_transformers\\.py$",
"^llama_stack/providers/inline/post_training/common/validator\\.py$",
"^llama_stack/providers/inline/safety/code_scanner/",
"^llama_stack/providers/inline/safety/llama_guard/",