Return True as this class is serializable.
Get the namespace of the LangChain object.
Return a unique identifier for this class for serialization purposes.
Convert the graph to a JSON-serializable format.
Serialize a "not implemented" object.
Base class to parse the output of an LLM call.
Output parsers help structure language model responses.
Example:
# Implement a simple boolean output parser
class BooleanOutputParser(BaseOutputParser[bool]):
true_val: str = "YES"
false_val: str = "NO"
def parse(self, text: str) -> bool:
cleaned_text = text.strip().upper()
if cleaned_text not in (
self.true_val.upper(),
self.false_val.upper(),
):
raise OutputParserException(
f"BooleanOutputParser expected output value to either be "
f"{self.true_val} or {self.false_val} (case-insensitive). "
f"Received {cleaned_text}."
)
return cleaned_text == self.true_val.upper()
@property
def _type(self) -> str:
return "boolean_output_parser"Get a JSON schema that represents the output of the Runnable.