File size: 1,856 Bytes
b4f2238 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 | """Module for llm protocols."""
from collections.abc import AsyncIterator, Iterator
from typing import Any, Protocol
class ILLMService(Protocol):
def chat(
self,
messages: list[dict[str, str]],
backend: str | None = None,
model: str | None = None,
temperature: float = 0.7,
max_tokens: int | None = None,
fallback: bool = True,
**kwargs: Any,
) -> Any: ...
async def achat(
self,
messages: list[dict[str, str]],
backend: str | None = None,
model: str | None = None,
temperature: float = 0.7,
max_tokens: int | None = None,
fallback: bool = True,
**kwargs: Any,
) -> Any: ...
def complete(
self,
prompt: str,
system_prompt: str | None = None,
backend: str | None = None,
model: str | None = None,
temperature: float = 0.7,
max_tokens: int | None = None,
fallback: bool = True,
**kwargs: Any,
) -> Any: ...
def stream(
self,
messages: list[dict[str, str]],
backend: str | None = None,
model: str | None = None,
temperature: float = 0.7,
max_tokens: int | None = None,
fallback: bool = True,
**kwargs: Any,
) -> Iterator[Any]: ...
async def astream(
self,
messages: list[dict[str, str]],
backend: str | None = None,
model: str | None = None,
temperature: float = 0.7,
max_tokens: int | None = None,
fallback: bool = True,
**kwargs: Any,
) -> AsyncIterator[Any]: ...
def embed_texts(
self,
texts: list[str],
backend: str | None = None,
model: str | None = None,
fallback: bool = True,
**kwargs: Any,
) -> list[list[float]]: ...
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