Source code for langchain_core.messages.chat

from typing import Any, Literal

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


[docs] class ChatMessage(BaseMessage): """Message that can be assigned an arbitrary speaker (i.e. role).""" role: str """The speaker / role of the Message.""" type: Literal["chat"] = "chat" """The type of the message (used during serialization). Defaults to "chat".""" @classmethod def get_lc_namespace(cls) -> list[str]: """Get the namespace of the langchain object. Default is ["langchain", "schema", "messages"]. """ return ["langchain", "schema", "messages"]
ChatMessage.model_rebuild()
[docs] class ChatMessageChunk(ChatMessage, BaseMessageChunk): """Chat 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["ChatMessageChunk"] = "ChatMessageChunk" # type: ignore """The type of the message (used during serialization). Defaults to "ChatMessageChunk".""" @classmethod def get_lc_namespace(cls) -> list[str]: """Get the namespace of the langchain object. Default is ["langchain", "schema", "messages"]. """ return ["langchain", "schema", "messages"] def __add__(self, other: Any) -> BaseMessageChunk: # type: ignore if isinstance(other, ChatMessageChunk): if self.role != other.role: msg = "Cannot concatenate ChatMessageChunks with different roles." raise ValueError(msg) return self.__class__( role=self.role, content=merge_content(self.content, other.content), additional_kwargs=merge_dicts( self.additional_kwargs, other.additional_kwargs ), response_metadata=merge_dicts( self.response_metadata, other.response_metadata ), id=self.id, ) elif isinstance(other, BaseMessageChunk): return self.__class__( role=self.role, content=merge_content(self.content, other.content), additional_kwargs=merge_dicts( self.additional_kwargs, other.additional_kwargs ), response_metadata=merge_dicts( self.response_metadata, other.response_metadata ), id=self.id, ) else: return super().__add__(other)