- 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.
1
Install and log in
If
tu is not found, run uv tool update-shell and restart your shell once.2
Scaffold an agent
tu init creates a Python agent project with config.yaml, Dockerfile, and src/agent.py.3
Replace src/agent.py
4
Deploy the agent
5
Create a project
6
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.7
Continue the task
8
Pull the task output
./quickstart-output/workspace.What You Just Used
Next Steps
- Runtime model: Building Agents
- App integration: Using Agents
- Deployment model: Deploying Agents