FunctionMessage#
- class langchain_core.messages.function.FunctionMessage[source]#
Bases:
BaseMessageMessage for passing the result of executing a tool back to a model.
FunctionMessage are an older version of the ToolMessage schema, and do not contain the tool_call_id field.
The tool_call_id field is used to associate the tool call request with the tool call response. This is useful in situations where a chat model is able to request multiple tool calls in parallel.
Pass in content as positional arg.
- Parameters:
content – The string contents of the message.
kwargs – Additional fields to pass to the
- param additional_kwargs: dict [Optional]#
Reserved for additional payload data associated with the message.
For example, for a message from an AI, this could include tool calls as encoded by the model provider.
- param content: str | List[str | Dict] [Required]#
The string contents of the message.
- param id: str | None = None#
An optional unique identifier for the message. This should ideally be provided by the provider/model which created the message.
- param name: str [Required]#
The name of the function that was executed.
- param response_metadata: dict [Optional]#
Response metadata. For example: response headers, logprobs, token counts.
- param type: Literal['function'] = 'function'#
The type of the message (used for serialization). Defaults to “function”.
- pretty_print() None#
- Return type:
None
- pretty_repr(html: bool = False) str#
Get a pretty representation of the message.
- Parameters:
html (bool) – Whether to format the message as HTML. If True, the message will be formatted with HTML tags. Default is False.
- Returns:
A pretty representation of the message.
- Return type:
str
Examples using FunctionMessage