tagging.py — langchain Source File

Source Code

from typing import Any

from langchain_core._api import deprecated
from langchain_core.language_models import BaseLanguageModel
from langchain_core.output_parsers.openai_functions import (
    JsonOutputFunctionsParser,
    PydanticOutputFunctionsParser,
)
from langchain_core.prompts import ChatPromptTemplate

from langchain_classic.chains.base import Chain
from langchain_classic.chains.llm import LLMChain
from langchain_classic.chains.openai_functions.utils import (
    _convert_schema,
    get_llm_kwargs,
)


def _get_tagging_function(schema: dict) -> dict:
    return {
        "name": "information_extraction",
        "description": "Extracts the relevant information from the passage.",
        "parameters": _convert_schema(schema),
    }


_TAGGING_TEMPLATE = """Extract the desired information from the following passage.

Only extract the properties mentioned in the 'information_extraction' function.

Passage:
{input}
"""


@deprecated(
    since="0.2.13",
    message=(
        "LangChain has introduced a method called `with_structured_output` that "
        "is available on ChatModels capable of tool calling. "
        "See API reference for this function for replacement: <"
        "https://api.python.langchain.com/en/latest/chains/langchain.chains.openai_functions.tagging.create_tagging_chain.html"
        "> You can read more about `with_structured_output` here: "
        "<https://docs.langchain.com/oss/python/langchain/models#structured-outputs>. "
        "If you notice other issues, please provide "
        "feedback here: "
        "<https://github.com/langchain-ai/langchain/discussions/18154>"
    ),
    removal="1.0",
)
def create_tagging_chain(
    schema: dict,
    llm: BaseLanguageModel,
    prompt: ChatPromptTemplate | None = None,
    **kwargs: Any,
) -> Chain:
    """Create tagging chain from schema.

    Create a chain that extracts information from a passage
    based on a schema.
// ... (130 more lines)