agent-mode

You can switch LLM models by calling the unified tool with the switch method and specifying the desired mode, which automates configuration management and enables quick transitions between different models in dynamic AI workflows.

The best way to manage multiple agent model configurations is using a unified tool that supports add, update, remove, list, and switch operations, providing standardized validation, defaults, and safe handling of missing inputs across development and production environments.

Yes, you can add and remove LLM configurations during development testing by using the specific add and remove methods, which safely handle missing inputs and apply validation to update your active model configurations dynamically.

Agent model switching works without external dependencies, relying on a standardized interface that validates inputs and applies defaults to manage mode configurations natively across development, testing, and production workflows.

Updating an existing model configuration requires providing parameters including method, mode, model, and describe, which the system uses to validate inputs and apply changes safely across your development, testing, or production environments.