Source code for langchain_core.messages.tool

from typing import Any, List, Literal

from langchain_core.messages.base import (
    BaseMessage,
    BaseMessageChunk,
    merge_content,
)


[docs]class ToolMessage(BaseMessage): """A Message for passing the result of executing a tool back to a model.""" tool_call_id: str """Tool call that this message is responding to.""" type: Literal["tool"] = "tool"
[docs] @classmethod def get_lc_namespace(cls) -> List[str]: """Get the namespace of the langchain object.""" return ["langchain", "schema", "messages"]
ToolMessage.update_forward_refs()
[docs]class ToolMessageChunk(ToolMessage, BaseMessageChunk): """A Tool Message chunk.""" # Ignoring mypy re-assignment here since we're overriding the value # to make sure that the chunk variant can be discriminated from the # non-chunk variant. type: Literal["ToolMessageChunk"] = "ToolMessageChunk" # type: ignore[assignment]
[docs] @classmethod def get_lc_namespace(cls) -> List[str]: """Get the namespace of the langchain object.""" return ["langchain", "schema", "messages"]
def __add__(self, other: Any) -> BaseMessageChunk: # type: ignore if isinstance(other, ToolMessageChunk): if self.tool_call_id != other.tool_call_id: raise ValueError( "Cannot concatenate ToolMessageChunks with different names." ) return self.__class__( tool_call_id=self.tool_call_id, content=merge_content(self.content, other.content), additional_kwargs=self._merge_kwargs_dict( self.additional_kwargs, other.additional_kwargs ), ) return super().__add__(other)