Exceptions

langchain_core.exceptions.OutputParserException

Bases: ValueError, LangChainException

Exception that output parsers should raise to signify a parsing error.

This exists to differentiate parsing errors from other code or execution errors that also may arise inside the output parser. OutputParserException will be available to catch and handle in ways to fix the parsing error, while other errors will be raised.

METHOD	DESCRIPTION
__init__	Create an OutputParserException.

__init__

__init__(
    error: Any,
    observation: str | None = None,
    llm_output: str | None = None,
    send_to_llm: bool = False,
)

Create an OutputParserException.

PARAMETER	DESCRIPTION
error	The error that's being re-raised or an error message. TYPE: Any
observation	String explanation of error which can be passed to a model to try and remediate the issue. TYPE: str | None DEFAULT: None
llm_output	String model output which is error-ing. TYPE: str | None DEFAULT: None
send_to_llm	Whether to send the observation and llm_output back to an Agent after an OutputParserException has been raised. This gives the underlying model driving the agent the context that the previous output was improperly structured, in the hopes that it will update the output to the correct format. TYPE: bool DEFAULT: False

RAISES	DESCRIPTION
ValueError	If send_to_llm is True but either observation or llm_output are not provided.