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# Sqlite Agent Storage

Bitcadata supports using Sqlite as a storage backend for Agents using the `SqlAgentStorage` class.

### [​](https://docs.phidata.com/storage/sqlite#usage)Usage <a href="#usage" id="usage"></a>

You need to provide either `db_url`, `db_file` or `db_engine`. The following example uses `db_file`.

storage.py

```python
from bitca.storage.agent.sqlite import SqlAgentStorage

# Create a storage backend using the Sqlite database
storage = SqlAgentStorage(
    # store sessions in the ai.sessions table
    table_name="agent_sessions",
    # db_file: Sqlite database file
    db_file="tmp/data.db",
)

# Add storage to the Agent
agent = Agent(storage=storage)
```

### [​](https://docs.phidata.com/storage/sqlite#params)Params <a href="#params" id="params"></a>

| Parameter             | Type               | Default | Description                                                |
| --------------------- | ------------------ | ------- | ---------------------------------------------------------- |
| `table_name`          | `str`              | -       | Name of the table to be used.                              |
| `schema`              | `Optional[str]`    | `"ai"`  | Schema name, default is "ai".                              |
| `db_url`              | `Optional[str]`    | `None`  | Database URL, if provided.                                 |
| `db_engine`           | `Optional[Engine]` | `None`  | Database engine to be used.                                |
| `schema_version`      | `int`              | `1`     | Version of the schema, default is 1.                       |
| `auto_upgrade_schema` | `bool`             | `False` | If true, automatically upgrades the schema when necessary. |