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)