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.
OutputParserException(
self,
error: Any,
observation: str | None = None,
llm_output: str | None = None,
send_to_llm: bool = False
)| Name | Type | Description |
|---|---|---|
error* | Any | The error that's being re-raised or an error message. |
observation | str | None | Default: NoneString explanation of error which can be passed to a model to try and remediate the issue. |
llm_output | str | None | Default: NoneString model output which is error-ing. |
send_to_llm | bool | Default: FalseWhether to send the observation and llm_output back to an Agent
after an 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. |