> ## Documentation Index
> Fetch the complete documentation index at: https://agno-v2.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-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__":
    pass
```

## Run the Example

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

**1. Install dependencies**

```bash theme={null}
uv pip install -U agno ddgs litellm sqlalchemy
```

**2. Export your LiteLLM API key**

```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"
```

**3. Run the example**

Save the code above as `db.py`, then run:

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

Full source: [cookbook/90\_models/litellm/db.py](https://github.com/agno-agi/agno/blob/v3.0.4/cookbook/90_models/litellm/db.py)


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