Source code for langchain.output_parsers.structured

from __future__ import annotations

from typing import Any, List

from langchain_core.output_parsers import BaseOutputParser
from langchain_core.output_parsers.json import parse_and_check_json_markdown
from langchain_core.pydantic_v1 import BaseModel

from langchain.output_parsers.format_instructions import (

line_template = '\t"{name}": {type}  // {description}'

[docs]class ResponseSchema(BaseModel): """Schema for a response from a structured output parser.""" name: str """The name of the schema.""" description: str """The description of the schema.""" type: str = "string" """The type of the response."""
def _get_sub_string(schema: ResponseSchema) -> str: return line_template.format(, description=schema.description, type=schema.type )
[docs]class StructuredOutputParser(BaseOutputParser): """Parse the output of an LLM call to a structured output.""" response_schemas: List[ResponseSchema] """The schemas for the response."""
[docs] @classmethod def from_response_schemas( cls, response_schemas: List[ResponseSchema] ) -> StructuredOutputParser: return cls(response_schemas=response_schemas)
[docs] def get_format_instructions(self, only_json: bool = False) -> str: """Get format instructions for the output parser. example: ```python from langchain.output_parsers.structured import ( StructuredOutputParser, ResponseSchema ) response_schemas = [ ResponseSchema( name="foo", description="a list of strings", type="List[string]" ), ResponseSchema( name="bar", description="a string", type="string" ), ] parser = StructuredOutputParser.from_response_schemas(response_schemas) print(parser.get_format_instructions()) # noqa: T201 output: # The output should be a Markdown code snippet formatted in the following # schema, including the leading and trailing "```json" and "```": # # ```json # { # "foo": List[string] // a list of strings # "bar": string // a string # } # ``` Args: only_json (bool): If True, only the json in the Markdown code snippet will be returned, without the introducing text. Defaults to False. """ schema_str = "\n".join( [_get_sub_string(schema) for schema in self.response_schemas] ) if only_json: return STRUCTURED_FORMAT_SIMPLE_INSTRUCTIONS.format(format=schema_str) else: return STRUCTURED_FORMAT_INSTRUCTIONS.format(format=schema_str)
[docs] def parse(self, text: str) -> Any: expected_keys = [ for rs in self.response_schemas] return parse_and_check_json_markdown(text, expected_keys)
@property def _type(self) -> str: return "structured"