Code
db.py
Usage
1
Set up your virtual environment
2
Set your API key
3
Install dependencies
4
Run Agent
Save the code above as
db.py, then run:Documentation Index
Fetch the complete documentation index at: /llms.txt
Use this file to discover all available pages before exploring further.
Persist a LiteLLM-backed agent’s chat history to SQLite and reuse it across runs.
from agno.agent import Agent
from agno.db.sqlite import SqliteDb
from agno.models.litellm import LiteLLM
from agno.tools.websearch import WebSearchTools
# Setup the database
db = SqliteDb(
db_file="tmp/data.db",
)
# Add storage to the Agent
agent = Agent(
model=LiteLLM(id="gpt-4o"),
db=db,
tools=[WebSearchTools()],
add_history_to_context=True,
)
agent.print_response("How many people live in Canada?")
agent.print_response("What is their national anthem called?")
Set up your virtual environment
uv venv --python 3.12
source .venv/bin/activate
uv venv --python 3.12
.venv\Scripts\activate
Set your API key
export LITELLM_API_KEY=xxx
Install dependencies
uv pip install -U "litellm<=1.82.6" openai ddgs sqlalchemy agno
Run Agent
db.py, then run:python db.py
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