knowledge-bootstrap

Session context for data analysis is maintained by automatically loading knowledge subsystems during startup. This ensures consistent decision-making across prompts by keeping dataset context available for all subsequent analysis tasks.

You cannot invoke the bootstrap directly because it does not expose separate direct invocation. It is intentionally embedded within the ask-question flow, so you must use that workflow to initialize the knowledge context successfully.

The best way to ensure immediate data access without manual setup is using an embedded knowledge bootstrap during session startup. This mechanism automatically loads the required dataset context so AI reasoning can proceed without interruption.

No, the knowledge bootstrap does not support direct invocation for loading dataset context. It is designed to be triggered exclusively via the ask-question workflow to satisfy the requirement of being embedded within that specific flow.

Session initialization maintains dataset context by running the knowledge bootstrap at startup, which loads necessary subsystems. This ensures the context remains available and consistent for decision-making across all subsequent analysis prompts.