db.py
Run the Example
1
Set up your virtual environment
2
Install dependencies
3
Export your LiteLLM API key
4
Run the example
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 LiteLLM agent sessions in SQLite and answer follow-ups with chat history in context.
"""Run `uv pip install ddgs openai` to install dependencies."""
from agno.agent import Agent
from agno.db.sqlite import SqliteDb
from agno.models.litellm import LiteLLM
from agno.tools.websearch import WebSearchTools
# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------
# 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?")
# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------
if __name__ == "__main__":
pass
Set up your virtual environment
uv venv --python 3.12
source .venv/bin/activate
uv venv --python 3.12
.venv\Scripts\activate
Install dependencies
uv pip install -U agno ddgs litellm sqlalchemy
Export your LiteLLM API key
export LITELLM_API_KEY="your_litellm_api_key_here"
$Env:LITELLM_API_KEY="your_litellm_api_key_here"
Run the example
db.py, then run:python db.py
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