mirror of
https://github.com/BerriAI/litellm.git
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260 lines
9.5 KiB
Python
260 lines
9.5 KiB
Python
from collections.abc import Awaitable, Callable, Mapping
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from typing import Final, cast # noqa: TID251 # narrows legacy callable signatures
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import pytest
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import litellm
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from litellm.chat_completions.dispatch import (
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_ADISPATCH, # pyright: ignore[reportPrivateUsage] # tests configured dispatch
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_DISPATCH, # pyright: ignore[reportPrivateUsage] # tests configured dispatch
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)
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from litellm.rust_bridge import catalog
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from litellm.rust_bridge.bindings import NativeBinding
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from litellm.rust_bridge.catalog import Route, Rule
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from litellm.rust_bridge.chat_completions.entrypoints import (
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NATIVE_ACOMPLETION,
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NATIVE_COMPLETION,
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LiteLLMChatCompletionsRequest,
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NativeAcompletion,
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NativeCompletion,
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)
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from litellm.rust_bridge.configuration import Rollout
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from litellm.types.utils import ModelResponse
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MESSAGES: Final = [{"role": "user", "content": "hi"}]
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PYTHON_RULES: Final = ()
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RUST_RULES: Final = (Rule(Route.CHAT_COMPLETIONS, Rollout.RUST_REQUIRED),)
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def completion_binding(native: NativeCompletion | None) -> NativeBinding[NativeCompletion]:
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binding: Final[NativeBinding[NativeCompletion]] = NativeBinding("completion", validate=lambda _: None)
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binding.override(native)
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return binding
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def acompletion_binding(native: NativeAcompletion | None) -> NativeBinding[NativeAcompletion]:
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binding: Final[NativeBinding[NativeAcompletion]] = NativeBinding("acompletion", validate=lambda _: None)
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binding.override(native)
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return binding
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def test_python_route_forwards_original_call_shape() -> None:
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metadata: Final = {"user_id": "u"}
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args: Final[tuple[object, ...]] = ("gpt-4o", MESSAGES)
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kwargs: Final[Mapping[str, object]] = {"temperature": 0.1, "metadata": metadata}
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captured: Final[list[tuple[tuple[object, ...], Mapping[str, object]]]] = []
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response: Final = ModelResponse()
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def python(*call_args: object, **call_kwargs: object) -> ModelResponse: # kwargs-ok: records public call shape
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captured.append((call_args, call_kwargs))
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return response
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def native(
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request: LiteLLMChatCompletionsRequest, args: tuple[object, ...], kwargs: Mapping[str, object]
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) -> ModelResponse:
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pytest.fail("Python-only dispatch must not call native")
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assert (
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_DISPATCH.run(
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args,
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kwargs,
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python=python,
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binding=completion_binding(native),
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native=lambda hook, request, call_args, call_kwargs: hook(request, call_args, call_kwargs),
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rules=PYTHON_RULES,
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)
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is response
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)
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call_args, call_kwargs = captured[0]
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assert call_args == args
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assert call_args[1] is MESSAGES
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assert call_kwargs == kwargs
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assert call_kwargs["metadata"] is metadata
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assert kwargs == {"temperature": 0.1, "metadata": metadata}
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@pytest.mark.asyncio
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async def test_async_python_route_forwards_original_call_shape() -> None:
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metadata: Final = {"user_id": "u"}
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args: Final[tuple[object, ...]] = ("gpt-4o", MESSAGES)
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kwargs: Final[Mapping[str, object]] = {"temperature": 0.1, "metadata": metadata}
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captured: Final[list[tuple[tuple[object, ...], Mapping[str, object]]]] = []
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response: Final = ModelResponse()
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async def python(*call_args: object, **call_kwargs: object) -> ModelResponse: # kwargs-ok: records call shape
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captured.append((call_args, call_kwargs))
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return response
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async def native(
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request: LiteLLMChatCompletionsRequest, args: tuple[object, ...], kwargs: Mapping[str, object]
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) -> ModelResponse:
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pytest.fail("Python-only dispatch must not call native")
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result: Final = await _ADISPATCH.arun(
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args,
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kwargs,
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python=python,
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binding=acompletion_binding(native),
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native=lambda hook, request, call_args, call_kwargs: hook(request, call_args, call_kwargs),
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rules=PYTHON_RULES,
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)
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assert result is response
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call_args, call_kwargs = captured[0]
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assert call_args == args
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assert call_args[1] is MESSAGES
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assert call_kwargs == kwargs
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assert call_kwargs["metadata"] is metadata
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assert kwargs == {"temperature": 0.1, "metadata": metadata}
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def test_native_receives_bound_request_and_original_call_shape() -> None:
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metadata: Final = {"user_id": "u"}
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kwargs: Final[Mapping[str, object]] = {
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"stream": True,
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"api_key": "sk-test",
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"base_url": "https://example.invalid",
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"extra_headers": {"x-test": "1"},
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"custom_llm_provider": "anthropic",
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"metadata": metadata,
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}
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captured: Final[
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list[tuple[LiteLLMChatCompletionsRequest, tuple[object, ...], Mapping[str, object]]]
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] = []
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def python(*call_args: object, **call_kwargs: object) -> ModelResponse: # kwargs-ok: rejected Rust fallback
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pytest.fail("Required Rust dispatch must not call Python")
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def native(
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request: LiteLLMChatCompletionsRequest, args: tuple[object, ...], kwargs: Mapping[str, object]
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) -> ModelResponse:
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captured.append((request, args, kwargs))
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return ModelResponse()
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args: Final[tuple[object, ...]] = ("anthropic/claude-sonnet-4-5", MESSAGES)
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_DISPATCH.run(
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args,
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kwargs,
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python=python,
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binding=completion_binding(native),
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native=lambda hook, request, call_args, call_kwargs: hook(request, call_args, call_kwargs),
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rules=RUST_RULES,
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)
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request, call_args, call_kwargs = captured[0]
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assert request.model == "anthropic/claude-sonnet-4-5"
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assert request.messages is MESSAGES
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assert request.stream is True
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assert request.api_key == "sk-test"
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assert request.api_base == "https://example.invalid"
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assert request.custom_llm_provider == "anthropic"
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assert request.extra_headers == {"x-test": "1"}
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assert request.kwargs == {"custom_llm_provider": "anthropic", "metadata": metadata}
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assert call_args == args
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assert call_kwargs == kwargs
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assert call_kwargs["metadata"] is metadata
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def test_internal_async_marker_bypasses_native() -> None:
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response: Final = ModelResponse()
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called: Final[list[bool]] = []
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def python(*call_args: object, **call_kwargs: object) -> ModelResponse: # kwargs-ok: records public call shape
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called.append(True)
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return response
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def native(
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request: LiteLLMChatCompletionsRequest, args: tuple[object, ...], kwargs: Mapping[str, object]
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) -> ModelResponse:
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pytest.fail("acompletion's inner completion call must stay on Python")
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result: Final = _DISPATCH.run(
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("gpt-4o", MESSAGES),
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{"acompletion": True},
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python=python,
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binding=completion_binding(native),
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native=lambda hook, request, call_args, call_kwargs: hook(request, call_args, call_kwargs),
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rules=RUST_RULES,
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)
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assert result is response
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assert called == [True]
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@pytest.mark.parametrize(
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("args", "kwargs"),
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(
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(("gpt-4o", MESSAGES), {"model": "duplicate"}),
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((), {}),
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),
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)
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def test_binding_errors_delegate_to_python(args: tuple[object, ...], kwargs: Mapping[str, object]) -> None:
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captured: Final[list[tuple[tuple[object, ...], Mapping[str, object]]]] = []
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response: Final = ModelResponse()
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def python(*call_args: object, **call_kwargs: object) -> ModelResponse: # kwargs-ok: records invalid call shape
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captured.append((call_args, call_kwargs))
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return response
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def native(
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request: LiteLLMChatCompletionsRequest, args: tuple[object, ...], kwargs: Mapping[str, object]
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) -> ModelResponse:
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pytest.fail("Binding failures must be delegated to Python")
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assert (
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_DISPATCH.run(
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args,
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kwargs,
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python=python,
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binding=completion_binding(native),
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native=lambda hook, request, call_args, call_kwargs: hook(request, call_args, call_kwargs),
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rules=RUST_RULES,
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)
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is response
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)
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assert captured == [(args, kwargs)]
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def test_public_completion_routes_through_dispatch(monkeypatch: pytest.MonkeyPatch) -> None:
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captured: Final[list[LiteLLMChatCompletionsRequest]] = []
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expected: Final = ModelResponse()
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def native(
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request: LiteLLMChatCompletionsRequest,
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args: tuple[object, ...],
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kwargs: Mapping[str, object],
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) -> ModelResponse:
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captured.append(request)
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return expected
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NATIVE_COMPLETION.override(native)
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monkeypatch.setattr(catalog, "RULES", RUST_RULES)
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public_completion: Final = cast(Callable[..., ModelResponse], litellm.completion)
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try:
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result: Final = public_completion(model="gpt-4o", messages=MESSAGES)
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finally:
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NATIVE_COMPLETION.reset()
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assert result is expected
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assert [request.model for request in captured] == ["gpt-4o"]
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@pytest.mark.asyncio
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async def test_public_acompletion_routes_through_dispatch(monkeypatch: pytest.MonkeyPatch) -> None:
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captured: Final[list[LiteLLMChatCompletionsRequest]] = []
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expected: Final = ModelResponse()
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async def native(
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request: LiteLLMChatCompletionsRequest,
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args: tuple[object, ...],
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kwargs: Mapping[str, object],
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) -> ModelResponse:
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captured.append(request)
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return expected
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NATIVE_ACOMPLETION.override(native)
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monkeypatch.setattr(catalog, "RULES", RUST_RULES)
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public_acompletion: Final = cast(Callable[..., Awaitable[ModelResponse]], litellm.acompletion)
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try:
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result: Final = await public_acompletion(model="gpt-4o", messages=MESSAGES)
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finally:
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NATIVE_ACOMPLETION.reset()
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assert result is expected
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assert [request.model for request in captured] == ["gpt-4o"]
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