agent-mode

You switch LLM configurations at runtime by selecting among predefined agent modes to instantly configure model behavior. This enforces valid mode names, ensuring safe and deterministic changes for coding, data analysis, and general reasoning tasks.

Agent mode management is the unified process of adding, removing, updating, listing, and switching configurations to control LLM behavior. It enables implicit persistence and rapid workflow experimentation to align tooling with specific coding or data analysis tasks.

To add or update a model configuration, you must provide both the specific mode name and the model parameters. Enforcing these required parameters ensures safe, deterministic changes and prevents invalid configurations when managing runtime LLM behavior.

Yes, you can rapidly revert configurations by switching back to a previous agent mode. Implicit persistence and quick switching enable safe rollbacks, allowing teams to transition from coding-focused modes back to general assistants instantly.

If you provide an invalid mode name when switching configurations, the operation will fail. The system strictly enforces valid mode names to ensure safe and deterministic changes, preventing unexpected or unsafe model behavior at runtime.