from langchain.memory import ConversationBufferWindowMemory from langchain_community.chat_models import ChatOpenAI from langchain_mongodb.chat_message_histories import MongoDBChatMessageHistory # from langchain_experimental.data_anonymizer import PresidioReversibleAnonymizer from langchain.agents import AgentExecutor from langchain.agents.format_scratchpad import format_to_openai_functions from langchain.agents.output_parsers import OpenAIFunctionsAgentOutputParser from langchain.prompts import ChatPromptTemplate, MessagesPlaceholder from langchain.schema.runnable import RunnablePassthrough from langchain_core.utils.function_calling import convert_to_openai_function from database_functions import set_chat_bot_name,isFirstSession from utils import deanonymizer, create_agent import time def chat_conversations(query,user_id): is_first = False if query == "START": if isFirstSession(user_id): query = """ return this message without changing it.:- also don't thought about it. Hey! I'm your BMOXI AI bestie, ready to help you tackle the wild ride of teen life. Want to give me a name? Type it below, or just say 'no' if you're cool with 'AI Bestie'!""" else: is_first = True query = "" # anonymizer = PresidioReversibleAnonymizer( # analyzed_fields=["PHONE_NUMBER", # "EMAIL_ADDRESS", "CREDIT_CARD"], # faker_seed=42, # ) # anonymized_input = anonymizer.anonymize( # query # ) start = time.time() agent = create_agent(user_id,is_first) print("time to create agent: ",time.time()-start) response = agent({"input": query})['output'] print(response) print("time to generate response by agent",time.time()-start) # response = chat_balancer(query,response) if "Okay, from now my name will be " in response: set_chat_bot_name(response.split("Okay, from now my name will be ")[-1], user_id) return response # output = deanonymizer(response, anonymizer) return response