Source code for langchain_prompty.langchain

from typing import Any, Dict

from langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder
from langchain_core.runnables import Runnable, RunnableLambda

from .parsers import RoleMap
from .utils import load, prepare



[docs]
def create_chat_prompt(
    path: str,
    input_name_agent_scratchpad: str = "agent_scratchpad",
) -> Runnable[Dict[str, Any], ChatPromptTemplate]:
    """Create a chat prompt from a Langchain schema."""

    def runnable_chat_lambda(inputs: Dict[str, Any]) -> ChatPromptTemplate:
        p = load(path)
        parsed = prepare(p, inputs)
        # Parsed messages have been templated
        # Convert to Message objects to avoid templating attempts in ChatPromptTemplate
        lc_messages = []
        for message in parsed:
            message_class = RoleMap.get_message_class(message["role"])
            lc_messages.append(message_class(content=message["content"]))

        lc_messages.append(
            MessagesPlaceholder(
                variable_name=input_name_agent_scratchpad, optional=True
            )  # type: ignore[arg-type]
        )
        lc_p = ChatPromptTemplate.from_messages(lc_messages)
        lc_p = lc_p.partial(**p.inputs)
        return lc_p

    return RunnableLambda(runnable_chat_lambda)