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browser-use--browser-use/browser_use/llm/base.py
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chore: import upstream snapshot with attribution
2026-07-13 12:02:32 +08:00

60 lines
1.5 KiB
Python

"""
We have switched all of our code from langchain to openai.types.chat.chat_completion_message_param.
For easier transition we have
"""
from typing import Any, Protocol, TypeVar, overload, runtime_checkable
from pydantic import BaseModel
from browser_use.llm.messages import BaseMessage
from browser_use.llm.views import ChatInvokeCompletion
T = TypeVar('T', bound=BaseModel)
@runtime_checkable
class BaseChatModel(Protocol):
_verified_api_keys: bool = False
model: str
@property
def provider(self) -> str: ...
@property
def name(self) -> str: ...
@property
def model_name(self) -> str:
# for legacy support
return self.model
@overload
async def ainvoke(
self, messages: list[BaseMessage], output_format: None = None, **kwargs: Any
) -> ChatInvokeCompletion[str]: ...
@overload
async def ainvoke(self, messages: list[BaseMessage], output_format: type[T], **kwargs: Any) -> ChatInvokeCompletion[T]: ...
async def ainvoke(
self, messages: list[BaseMessage], output_format: type[T] | None = None, **kwargs: Any
) -> ChatInvokeCompletion[T] | ChatInvokeCompletion[str]: ...
@classmethod
def __get_pydantic_core_schema__(
cls,
source_type: type,
handler: Any,
) -> Any:
"""
Allow this Protocol to be used in Pydantic models -> very useful to typesafe the agent settings for example.
Returns a schema that allows any object (since this is a Protocol).
"""
from pydantic_core import core_schema
# Return a schema that accepts any object for Protocol types
return core_schema.any_schema()