Session Caching

This example demonstrates how to enable session caching in memory for faster access to session data, improving performance when working with persistent databases.

Code

08_cache_session.py

"""Example of how to cache the session in memory for faster access."""

from agno.agent.agent import Agent
from agno.db.postgres import PostgresDb
from agno.models.openai import OpenAIChat

# Setup the database
db_url = "postgresql+psycopg://ai:ai@localhost:5532/ai"
db = PostgresDb(db_url=db_url, session_table="xxx")

# Setup the agent
agent = Agent(
    model=OpenAIChat(id="gpt-5-mini"),
    db=db,
    session_id="session_storage",
    add_history_to_context=True,
    # Activate session caching. The session will be cached in memory for faster access.
    cache_session=True,
)

# Running the Agent
agent.print_response("Tell me a new interesting fact about space")

# You can get the cached session:
session = agent.get_session()

Usage

1. Create a virtual environment

   Open the Terminal and create a python virtual environment.

   Mac

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

   pip install -U agno openai psycopg
   
3. Setup PostgreSQL

   # Make sure PostgreSQL is running
   # Update connection string in the code as needed
   
4. Export your OpenAI API key

   Mac/Linux

     export OPENAI_API_KEY="your_openai_api_key_here"
   
5. Create a Python file

   Create a Python file and add the above code.

   touch 08_cache_session.py
   
6. Run Agent

   Mac

   python 08_cache_session.py
   
7. Find All Cookbooks

   Explore all the available cookbooks in the Agno repository. Click the link below to view the code on GitHub:

   Agno Cookbooks on GitHub