Async SQLite

Use SQLite asynchronously for agent session storage.

Kern supports using Sqlite asynchronously, with the AsyncSqliteDb class.

Usage

1from kern.agent import Agent
2from kern.db.sqlite import AsyncSqliteDb
3
4# Setup the SQLite database
5db = AsyncSqliteDb(db_file="tmp/data.db")
6
7# Setup a basic agent with the SQLite database
8agent = Agent(db=db)

Params

Parameter	Type	Default	Description
`db_engine`	`Optional[Engine]`	-	The SQLAlchemy database engine to use.
`db_url`	`Optional[str]`	-	The database URL to connect to.
`db_file`	`Optional[str]`	-	The database file to connect to.
`session_table`	`Optional[str]`	-	Name of the table to store Agent, Team and Workflow sessions.
`memory_table`	`Optional[str]`	-	Name of the table to store user memories.
`metrics_table`	`Optional[str]`	-	Name of the table to store metrics.
`eval_table`	`Optional[str]`	-	Name of the table to store evaluation runs data.
`knowledge_table`	`Optional[str]`	-	Name of the table to store knowledge documents data.
`traces_table`	`Optional[str]`	-	Name of the table to store traces.
`spans_table`	`Optional[str]`	-	Name of the table to store spans.