Agent with Storage

Code

cookbook/models/litellm/storage.py

from agno.agent import Agent
from agno.models.litellm import LiteLLM
from agno.storage.sqlite import SqliteStorage
from agno.tools.duckduckgo import DuckDuckGoTools

# Create a storage backend using the Sqlite database
storage = SqliteStorage(
    # store sessions in the ai.sessions table
    table_name="agent_sessions_storage",
    # db_file: Sqlite database file
    db_file="tmp/data.db",
)

# Add storage to the Agent
agent = Agent(
    model=LiteLLM(id="gpt-4o"),
    storage=storage,
    tools=[DuckDuckGoTools()],
    add_history_to_messages=True,
)

agent.print_response("How many people live in Canada?")
agent.print_response("What is their national anthem called?")

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. Set your API key

   export LITELLM_API_KEY=xxx
   
3. Install libraries

   pip install -U litellm openai agno
   
4. Run Agent

   Mac

   python cookbook/models/litellm/storage.py