- install the CLI
- scaffold an agent
- deploy it
- create a project and task
- pull the task output back to your machine
/workspace plus a task API on top.
Scaffold an agent
tu init creates a Python agent project with config.yaml, Dockerfile, and src/agent.py.Create a task and send the first message
-p auto-creates a filesystem for the task. If you already have a filesystem, use -f <filesystem-id> instead.What You Just Used
| Command | Purpose |
|---|---|
tu init | Scaffold an agent project |
tu deploy | Build and deploy a new version |
tu projects create | Create a permission boundary for filesystems |
tu tasks create | Start a task |
tu tasks send | Send another event to an existing task |
tu tasks pull | Download the task’s filesystem and system folders |
Next Steps
- Runtime model: Building Agents
- App integration: Using Agents
- Deployment model: Deploying Agents