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)