此示例展示了如何在 Agent 配置中使用 add_session_summary_references
参数将会话摘要的引用添加到 Agent 中。
from agno.agent.agent import Agent
from agno.memory.v2.db.postgres import PostgresMemoryDb
from agno.memory.v2.memory import Memory
from agno.models.google.gemini import Gemini
from agno.storage.postgres import PostgresStorage
db_url = "postgresql+psycopg://ai:ai@localhost:5532/ai"
memory_db = PostgresMemoryDb(table_name="memory", db_url=db_url)
# Reset for this example
memory_db.clear()
memory = Memory(db=memory_db)
user_id = "john_doe@example.com"
session_id = "session_summaries"
agent = Agent(
model=Gemini(id="gemini-2.0-flash-exp"),
memory=memory,
storage=PostgresStorage(table_name="agent_sessions", db_url=db_url),
enable_session_summaries=True,
session_id=session_id,
)
# This will create a new session summary
agent.print_response(
"My name is John Doe and I like to hike in the mountains on weekends.",
user_id=user_id,
)
# You can use existing session summaries from session storage without creating or updating any new ones.
agent = Agent(
model=Gemini(id="gemini-2.0-flash-exp"),
memory=memory,
storage=PostgresStorage(table_name="agent_sessions", db_url=db_url),
add_session_summary_references=True,
session_id=session_id,
)
agent.print_response("What are my hobbies?", user_id=user_id)
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
安装库
pip install -U agno
运行示例
python 13_session_summary_references.py