​
代码

cookbook/apps/playground/basic.py
from agno.agent import Agent
from agno.memory.agent import AgentMemory
from agno.memory.db.postgres import PgMemoryDb
from agno.models.openai import OpenAIChat
from agno.playground import Playground
from agno.storage.agent.sqlite import SqliteAgentStorage
from agno.storage.postgres import PostgresStorage

agent_storage_file: str = "tmp/agents.db"

db_url = "postgresql+psycopg://ai:ai@localhost:5532/ai"

basic_agent = Agent(
    name="Basic Agent",
    model=OpenAIChat(id="gpt-4o"),
    memory=AgentMemory(
        db=PgMemoryDb(
            table_name="agent_memory",
            db_url=db_url,
        ),
        # 为此用户创建并存储个性化记忆
        create_user_memories=True,
        # 每次运行后更新用户的记忆
        update_user_memories_after_run=True,
        # 创建并存储会话摘要
        create_session_summary=True,
        # 每次运行后更新会话摘要
        update_session_summary_after_run=True,
    ),
    storage=PostgresStorage(
        table_name="agent_sessions", db_url=db_url, auto_upgrade_schema=True
    ),
    add_history_to_messages=True,
    num_history_responses=3,
    add_datetime_to_instructions=True,
    markdown=True,
)

playground = Playground(
    agents=[
        basic_agent,
    ],
    name="Basic Agent",
    description="A playground for basic agent",
    app_id="basic-agent",
)
app = playground.get_app()

if __name__ == "__main__":
    playground.serve(app="basic:app", reload=True)

​
用法

1

创建虚拟环境

打开 Terminal 并创建一个 python 虚拟环境。

python3 -m venv .venv
source .venv/bin/activate
2

设置您的 API 密钥

export OPENAI_API_KEY=xxx
3

安装库

pip install -U agno "uvicorn[standard]" openai psycopg-binary
4

运行 Agent

python cookbook/apps/playground/basic.py