terminaluse

You can build and deploy AI agents from the command line by initializing a new agent with tu init, customizing its configuration, and deploying it to your chosen environment via the TerminalUse CLI workflow.

Managing an AI agent's lifecycle via CLI involves using the TerminalUse tool to scaffold, customize, deploy, and test agents through a cohesive command-line workflow within a secure sandboxed environment.

Yes, you can run commands outside the agent's directory by using explicit --agent and --config flags to ensure context-aware execution and avoid directory coupling for reproducible results.

To scaffold a new agent for production, start by running tu init and follow the prompts to set up the configuration, then use the CLI to deploy and test the agent in your target environment.

Yes, the terminaluse workflow supports managing multiple agent environments by allowing you to handle namespaces, preview and production deployments, and configurations directly via the terminal.

Using a CLI workflow for agent development automates the creation, deployment, and interaction processes, providing end-to-end management and context-aware execution that manual configuration lacks.