> ## Documentation Index
> Fetch the complete documentation index at: https://agno-v2-service-account.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# DB

> Persist LiteLLM agent sessions in SQLite and answer follow-ups with chat history in context.

```python db.py theme={null}
"""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
```

## Run the Example

<Steps>
  <Snippet file="create-venv-step.mdx" />

  <Step title="Install dependencies">
    ```bash theme={null}
    uv pip install -U agno ddgs litellm sqlalchemy
    ```
  </Step>

  <Step title="Export your LiteLLM API key">
    <CodeGroup>
      ```bash Mac/Linux theme={null}
      export LITELLM_API_KEY="your_litellm_api_key_here"
      ```

      ```bash Windows theme={null}
      $Env:LITELLM_API_KEY="your_litellm_api_key_here"
      ```
    </CodeGroup>
  </Step>

  <Step title="Run the example">
    Save the code above as `db.py`, then run:

    ```bash theme={null}
    python db.py
    ```
  </Step>
</Steps>

Full source: [cookbook/90\_models/litellm/db.py](https://github.com/agno-agi/agno/blob/main/cookbook/90_models/litellm/db.py)