multiple: enforce standards on tool_choice (#30372)

- Test if models support forcing tool calls via `tool_choice`. If they
do, they should support
  - `"any"` to specify any tool
  - the tool name as a string to force calling a particular tool
- Add `tool_choice` to signature of `BaseChatModel.bind_tools` in core
- Deprecate `tool_choice_value` in standard tests in favor of a boolean
`has_tool_choice`

Will follow up with PRs in external repos (tested in AWS and Google
already).

libs/core/langchain_core/language_models/chat_models.py

@@ -1167,6 +1167,8 @@ class BaseChatModel(BaseLanguageModel[BaseMessage], ABC):
         tools: Sequence[
             Union[typing.Dict[str, Any], type, Callable, BaseTool]  # noqa: UP006
         ],
+        *,
+        tool_choice: Optional[Union[str, Literal["any"]]] = None,
         **kwargs: Any,
     ) -> Runnable[LanguageModelInput, BaseMessage]:
         raise NotImplementedError
@@ -1280,6 +1282,8 @@ class BaseChatModel(BaseLanguageModel[BaseMessage], ABC):
 
                 Added support for TypedDict class.
         """  # noqa: E501
+        _ = kwargs.pop("method", None)
+        _ = kwargs.pop("strict", None)
         if kwargs:
             msg = f"Received unsupported arguments {kwargs}"
             raise ValueError(msg)