多用户多会话聊天

本示例演示了如何运行一个多用户、多会话的聊天程序。

在本例中，我们有 3 位用户和 4 个会话。

• 用户 1 有 2 个会话。
• 用户 2 有 1 个会话。
• 用户 3 有 1 个会话。

代码

cookbook/agent_concepts/memory/11_multi_user_multi_session_chat.py

import asyncio

from agno.agent.agent import Agent
from agno.memory.v2.db.sqlite import SqliteMemoryDb
from agno.memory.v2.memory import Memory
from agno.models.google.gemini import Gemini
from agno.storage.sqlite import SqliteStorage

agent_storage = SqliteStorage(
    table_name="agent_sessions", db_file="tmp/persistent_memory.db"
)
memory_db = SqliteMemoryDb(table_name="memory", db_file="tmp/memory.db")

memory = Memory(db=memory_db)

# 为此示例重置内存
memory.clear()

user_1_id = "[e-mail]"
user_2_id = "[e-mail]"
user_3_id = "[e-mail]"

user_1_session_1_id = "user_1_session_1"
user_1_session_2_id = "user_1_session_2"
user_2_session_1_id = "user_2_session_1"
user_3_session_1_id = "user_3_session_1"

chat_agent = Agent(
    model=Gemini(id="gemini-2.0-flash-exp"),
    storage=agent_storage,
    memory=memory,
    enable_user_memories=True,
)


async def run_chat_agent():
    await chat_agent.aprint_response(
        "My name is Mark Gonzales and I like anime and video games.",
        user_id=user_1_id,
        session_id=user_1_session_1_id,
    )
    await chat_agent.aprint_response(
        "I also enjoy reading manga and playing video games.",
        user_id=user_1_id,
        session_id=user_1_session_1_id,
    )

    # 与用户 1 - 会话 2 进行聊天
    await chat_agent.aprint_response(
        "I'm going to the movies tonight.",
        user_id=user_1_id,
        session_id=user_1_session_2_id,
    )

    # 与用户 2 进行聊天
    await chat_agent.aprint_response(
        "Hi my name is John Doe.", user_id=user_2_id, session_id=user_2_session_1_id
    )
    await chat_agent.aprint_response(
        "I'm planning to hike this weekend.",
        user_id=user_2_id,
        session_id=user_2_session_1_id,
    )

    # 与用户 3 进行聊天
    await chat_agent.aprint_response(
        "Hi my name is Jane Smith.", user_id=user_3_id, session_id=user_3_session_1_id
    )
    await chat_agent.aprint_response(
        "I'm going to the gym tomorrow.",
        user_id=user_3_id,
        session_id=user_3_session_1_id,
    )

    # 继续与用户 1 的对话
    # 代理应该考虑到用户 1 的所有记忆。
    await chat_agent.aprint_response(
        "What do you suggest I do this weekend?",
        user_id=user_1_id,
        session_id=user_1_session_1_id,
    )


if __name__ == "__main__":
    # 与用户 1 - 会话 1 进行聊天
    asyncio.run(run_chat_agent())

    user_1_memories = memory.get_user_memories(user_id=user_1_id)
    print("User 1's memories:")
    for i, m in enumerate(user_1_memories):
        print(f"{i}: {m.memory}")

    user_2_memories = memory.get_user_memories(user_id=user_2_id)
    print("User 2's memories:")
    for i, m in enumerate(user_2_memories):
        print(f"{i}: {m.memory}")

    user_3_memories = memory.get_user_memories(user_id=user_3_id)
    print("User 3's memories:")
    for i, m in enumerate(user_3_memories):
        print(f"{i}: {m.memory}")

使用方法

1. 创建虚拟环境

   打开 Terminal 并创建一个 python 虚拟环境。

   Mac

   python3 -m venv .venv
   source .venv/bin/activate
   
2. 设置您的 API 密钥

   export GOOGLE_API_KEY=xxx
   
3. 安装库

   pip install -U agno google-generativeai anthropic
   
4. 运行示例

   Mac

   python cookbook/agent_concepts/memory/11_multi_user_multi_session_chat.py