SQLite
Use SQLite for local agent session storage.
Kern supports using Sqlite as a database with the SqliteDb class.
Usage
1from kern.agent import Agent2from kern.db.sqlite import SqliteDb34# Setup the SQLite database5db = SqliteDb(db_file="tmp/data.db")67# Setup a basic agent with the SQLite database8agent = Agent(db=db)Params
| Parameter | Type | Default | Description |
|---|---|---|---|
id | Optional[str] | - | The ID of the database instance. UUID by default. |
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. |