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* feat(embeddings): add native dispatch foundation * ci: cover embeddings dispatch tests Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * style: format embeddings dispatch Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> --------- Co-authored-by: Yujong Lee <yujong@berri.ai> Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
93 lines
3.7 KiB
Python
93 lines
3.7 KiB
Python
from __future__ import annotations
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from collections.abc import Awaitable, Callable, Mapping
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from typing import Final
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import pytest
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from pydantic import TypeAdapter
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import litellm
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from litellm.embeddings import dispatch
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from litellm.rust_bridge.bindings import NativeBinding
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from litellm.rust_bridge.catalog import Route, RouteRule, Rules
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from litellm.rust_bridge.configuration import Rollout
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from litellm.rust_bridge.embeddings.entrypoints import LiteLLMEmbeddingRequest
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from litellm.types.utils import EmbeddingResponse
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@pytest.mark.asyncio
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async def test_public_embedding_calls_keep_the_python_result() -> None:
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vector: Final = [0.1, 0.2]
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sync_response: Final = litellm.embedding(model="openai/test-model", input="hello", mock_response=vector)
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async_response: Final = await litellm.aembedding(model="openai/test-model", input="hello", mock_response=vector)
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assert isinstance(sync_response, EmbeddingResponse)
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rows: Final = TypeAdapter(list[dict[str, object]])
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assert rows.validate_python(sync_response.model_dump()["data"])[0]["embedding"] == vector
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assert rows.validate_python(async_response.model_dump()["data"])[0]["embedding"] == vector
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def test_sync_embedding_request_projects_public_arguments() -> None:
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rules: Final[Rules] = (RouteRule(Route.EMBEDDINGS, Rollout.RUST_REQUIRED),)
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expected: Final = EmbeddingResponse(model="test-model", data=[])
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def native(
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request: LiteLLMEmbeddingRequest, args: tuple[object, ...], kwargs: Mapping[str, object]
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) -> EmbeddingResponse:
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assert request.model == "test-model"
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assert request.input == "hello"
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assert request.custom_llm_provider == "openai"
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return expected
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binding: Final[
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NativeBinding[Callable[[LiteLLMEmbeddingRequest, tuple[object, ...], Mapping[str, object]], EmbeddingResponse]]
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] = NativeBinding("embedding", validate=lambda _: None)
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binding.override(native)
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response: Final = dispatch._DISPATCH.run( # pyright: ignore[reportPrivateUsage] # test an explicit route decision
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("test-model", "hello"),
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{"custom_llm_provider": "openai", "dimensions": 8},
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python=lambda *args, **kwargs: pytest.fail("required native route must handle this call"),
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binding=binding,
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native=lambda hook, request, args, kwargs: hook(request, args, kwargs),
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rules=rules,
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)
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assert response is expected
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@pytest.mark.asyncio
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async def test_async_embedding_falls_back_after_native_declines() -> None:
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from litellm.rust_bridge.bindings import native_exception_types
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native_types: Final = native_exception_types()
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if native_types is None:
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pytest.skip("native bridge is unavailable")
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declined, _ = native_types
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expected: Final = EmbeddingResponse(model="test-model", data=[])
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rules: Final[Rules] = (RouteRule(Route.EMBEDDINGS, Rollout.RUST_OPT_OUT),)
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async def native(
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request: LiteLLMEmbeddingRequest, args: tuple[object, ...], kwargs: Mapping[str, object]
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) -> EmbeddingResponse:
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raise declined("unsupported")
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async def python(*args: object, **kwargs: object) -> EmbeddingResponse:
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return expected
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binding: Final[
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NativeBinding[
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Callable[[LiteLLMEmbeddingRequest, tuple[object, ...], Mapping[str, object]], Awaitable[EmbeddingResponse]]
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]
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] = NativeBinding("aembedding", validate=lambda _: None)
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binding.override(native)
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response: Final = await dispatch._ADISPATCH.arun( # pyright: ignore[reportPrivateUsage] # test an explicit route decision
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("test-model", "hello"),
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{},
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python=python,
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binding=binding,
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native=lambda hook, request, args, kwargs: hook(request, args, kwargs),
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rules=rules,
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)
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assert response is expected
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