Async MySQL

Use MySQL asynchronously for agent session storage.

Kern supports using MySQL asynchronously, with the AsyncMySQLDb class.

Usage

1from kern.agent import Agent
2from kern.db.mysql import AsyncMySQLDb
3
4# Replace with your own connection string, and notice the `async_` prefix
5db_url = "mysql+aiomysql://ai:ai@localhost:3306/ai"
6
7# Setup your Database
8db = AsyncMySQLDb(db_url=db_url)
9
10# Setup your Agent with the Database
11agent = Agent(db=db)

Run MySQL

Install docker desktop and run MySQL on port 3306 using:

1docker run -d \
2  --name mysql \
3  -e MYSQL_ROOT_PASSWORD=ai \
4  -e MYSQL_DATABASE=ai \
5  -e MYSQL_USER=ai \
6  -e MYSQL_PASSWORD=ai \
7  -p 3306:3306 \
8  -d mysql:8

Params

Parameter	Type	Default	Description
`id`	`Optional[str]`	-	The ID of the database instance. UUID by default.
`db_url`	`Optional[str]`	-	The database URL to connect to.
`db_engine`	`Optional[AsyncEngine]`	-	The SQLAlchemy asyncdatabase engine to use.
`db_schema`	`Optional[str]`	-	The database schema to use.
`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 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 content.
`traces_table`	`Optional[str]`	-	Name of the table to store traces.
`spans_table`	`Optional[str]`	-	Name of the table to store spans.