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"""
Session Summary
=============================

This example shows how to use the session summary to store the conversation summary.
"""

from agno.agent.agent import Agent
from agno.db.postgres import PostgresDb
from agno.models.openai import OpenAIResponses
from agno.session.summary import SessionSummaryManager  # noqa: F401

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

db = PostgresDb(db_url=db_url, session_table="sessions")

# Method 1: Set enable_session_summaries to True

# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------
agent = Agent(
    model=OpenAIResponses(id="gpt-5-mini"),
    db=db,
    enable_session_summaries=True,
    session_id="session_123",
)

# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------
if __name__ == "__main__":
    agent.print_response("Hi my name is John and I live in New York")
    agent.print_response("I like to play basketball and hike in the mountains")

    print(agent.get_session_summary(session_id="session_123"))

    # Method 2: Set session_summary_manager

    # session_summary_manager = SessionSummaryManager(model=OpenAIResponses(id="gpt-5-mini"))

    # agent = Agent(
    #     model=OpenAIResponses(id="gpt-5-mini"),
    #     db=db,
    #     session_id="session_summary",
    #     session_summary_manager=session_summary_manager,
    # )

    # agent.print_response("Hi my name is John and I live in New York")
    # agent.print_response("I like to play basketball and hike in the mountains")

​
Run the Example

# Clone and setup repo
git clone https://github.com/agno-agi/agno.git
cd agno/cookbook/02_agents/05_state_and_session

# Create and activate virtual environment
./scripts/demo_setup.sh
source .venvs/demo/bin/activate

python session_summary.py