Sqlite Agent Storage

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

Usage

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

storage.py

from phi.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)

Params

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.

Getting Started

Documentation

How To

Sqlite Agent Storage

Usage

Params

​Usage

​Params

Usage

Params