目录
环境
代码
环境
大语言模型: gpt-40-mini
Mem0: Empower your AI applications with long-term memory and personalization
OpenAPI-Key:
Mem0-Key:
代码
import os
from dotenv import load_dotenv
from openai import OpenAI
from mem0 import Memory
load_dotenv()
# Set the OpenAI API key
os.environ['OPENAI_API_KEY'] = 'Open API Key'
from mem0 import MemoryClient
class PersonalTravelAssistant:
def __init__(self):
self.client = OpenAI(base_url ='https://hk.xty.app/v1')
self.memory = MemoryClient(api_key="Mem0 Key")
self.messages = [{"role": "system", "content": "You are a personal AI Assistant."}]
def ask_question(self, question, user_id):
# Fetch previous related memories
previous_memories = self.search_memories(question, user_id=user_id)
prompt = question
if previous_memories:
prompt = f"User input: {question}\n Previous memories: {previous_memories}"
self.messages.append({"role": "user", "content": prompt})
# Generate response using GPT-4o
response = self.client.chat.completions.create(
model="gpt-4o-mini",
messages=self.messages
)
answer = response.choices[0].message.content
self.messages.append({"role": "assistant", "content": answer})
# Store the question in memory
self.memory.add(question, user_id=user_id)
return answer
def get_memories(self, user_id):
memories = self.memory.get_all(user_id=user_id)
return [m['memory'] for m in memories]
def search_memories(self, query, user_id):
memories = self.memory.search(query, user_id=user_id)
return [m['memory'] for m in memories]
# Usage example
user_id = "traveler_123"
ai_assistant = PersonalTravelAssistant()
def main():
while True:
question = input("Question: ")
if question.lower() in ['q', 'exit']:
print("Exiting...")
break
answer = ai_assistant.ask_question(question, user_id=user_id)
print(f"Answer: {answer}")
memories = ai_assistant.get_memories(user_id=user_id)
print("Memories:")
for memory in memories:
print(f"- {memory}")
print("-----")
if __name__ == "__main__":
main()