11 multi user multi session chat concurrent

---
title: 多用户多会话并发聊天
---

此示例展示了如何并发运行多用户、多会话的聊天。在此示例中，我们有 3 个用户和 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

```python cookbook/agent_concepts/memory/12_multi_user_multi_session_chat_concurrent.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.anthropic.claude import Claude
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(model=Claude(id="claude-3-5-sonnet-20241022"), db=memory_db)

# 重置此示例的内存
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 user_1_conversation():
    """处理用户 1 在多个会话中的对话"""
    # 用户 1 - 会话 1
    await chat_agent.arun(
        "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.arun(
        "I also enjoy reading manga and playing video games.",
        user_id=user_1_id,
        session_id=user_1_session_1_id,
    )

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

    # 继续会话 1 的对话
    await chat_agent.arun(
        "What do you suggest I do this weekend?",
        user_id=user_1_id,
        session_id=user_1_session_1_id,
    )

    print("User 1 Done")


async def user_2_conversation():
    """处理用户 2 的对话"""
    await chat_agent.arun(
        "Hi my name is John Doe.", user_id=user_2_id, session_id=user_2_session_1_id
    )
    await chat_agent.arun(
        "I'm planning to hike this weekend.",
        user_id=user_2_id,
        session_id=user_2_session_1_id,
    )
    print("User 2 Done")


async def user_3_conversation():
    """处理用户 3 的对话"""
    await chat_agent.arun(
        "Hi my name is Jane Smith.", user_id=user_3_id, session_id=user_3_session_1_id
    )
    await chat_agent.arun(
        "I'm going to the gym tomorrow.",
        user_id=user_3_id,
        session_id=user_3_session_1_id,
    )
    print("User 3 Done")


async def run_concurrent_chat_agent():
    """并发运行所有用户的对话"""
    await asyncio.gather(
        user_1_conversation(), user_2_conversation(), user_3_conversation()
    )


if __name__ == "__main__":
    # 并发运行所有对话
    asyncio.run(run_concurrent_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. 安装库

   pip install -U agno google-generativeai anthropic
   
3. 设置 API 密钥

   export GOOGLE_API_KEY=xxx
   
4. 运行示例

   Mac

   python cookbook/agent_concepts/memory/12_multi_user_multi_session_chat_concurrent.py