DB
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-5.6-luna"),
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__":
passRun the Example
Set up your virtual environment
uv venv --python 3.12
source .venv/bin/activateInstall dependencies
uv pip install -U agno ddgs litellm sqlalchemySet your OpenAI credentials
Use an OpenAI API key with access to the requested model. The LiteLLM SDK calls the provider directly. An existing LITELLM_API_KEY overrides provider-specific credentials, so clear it for this example.
unset LITELLM_API_KEY
export OPENAI_API_KEY="your_provider_api_key_here"Set compatible sampling options
Add temperature=None, top_p=None to every LiteLLM(...) using id="gpt-5.6-luna" or id="openai/gpt-5.6-luna" in your saved file. The adapter defaults to temperature=0.7 and top_p=1.0; the LiteLLM SDK rejects those sampling settings for this model's default reasoning mode before sending a request.
Run the example
Save the code above as db.py, then run:
python db.pyFull source: cookbook/90_models/litellm/db.py