session_summary.py
"""
Session Summary
===============
Demonstrates configuring session summaries for an agent using PostgresDb.
"""
from agno.agent.agent import Agent
from agno.db.postgres import PostgresDb
from agno.models.openai import OpenAIChat
from agno.session.summary import SessionSummaryManager # noqa: F401
# ---------------------------------------------------------------------------
# Setup
# ---------------------------------------------------------------------------
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
#
# agent = Agent(
# model=OpenAIChat(id="gpt-5.2"),
# db=db,
# enable_session_summaries=True,
# session_id="session_summary",
# add_session_summary_to_context=True,
# )
#
# 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")
# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------
# Method 2: Set session_summary_manager
session_summary_manager = SessionSummaryManager(model=OpenAIChat(id="gpt-5.2"))
agent = Agent(
model=OpenAIChat(id="gpt-5.2"),
db=db,
session_id="session_summary",
session_summary_manager=session_summary_manager,
)
# ---------------------------------------------------------------------------
# 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")
Run the Example
1
Set up your virtual environment
uv venv --python 3.12
source .venv/bin/activate
uv venv --python 3.12
.venv\Scripts\activate
2
Install dependencies
uv pip install -U agno openai psycopg-binary sqlalchemy
3
Export your OpenAI API key
export OPENAI_API_KEY="your_openai_api_key_here"
$Env:OPENAI_API_KEY="your_openai_api_key_here"
4
Run PgVector
docker run -d \
-e POSTGRES_DB=ai \
-e POSTGRES_USER=ai \
-e POSTGRES_PASSWORD=ai \
-e PGDATA=/var/lib/postgresql/data/pgdata \
-v pgvolume:/var/lib/postgresql/data \
-p 5532:5432 \
--name pgvector \
agnohq/pgvector:18
5
Run the example
Save the code above as
session_summary.py, then run:python session_summary.py