Sqlite Agent Storage

Bitcadata 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 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)

​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.