Daytona vs Vercel Sandbox

Daytona

API keys with per-action scopes, so an agent can create sandboxes without being able to delete them. The container class shares the host kernel. Only the VM classes get their own.

Vercel Sandbox

Active CPU billing, so waiting on model responses costs only memory. Tied to a Vercel team and project even when called from elsewhere, and access tokens reach the whole team.

Daytona

1. Pick a Linux VM class for untrusted code or when memory must survive a pause. Container sandboxes stop and archive instead
2. Set autoStopInterval yourself. The 15-minute idle default can stop a sandbox while the agent is still thinking
3. Give the agent a key without delete:sandboxes if it shouldn't destroy work
4. Read Retry-After-{throttler} on a 429 before retrying sandbox creation
5. Check the organisation's tier before relying on outbound calls from inside the sandbox

Vercel Sandbox

1. Call sandbox.stop() when the task is done. Memory bills until the session ends
2. Use Sandbox.getOrCreate with a name so retries land in the same sandbox
3. Set networkPolicy to deny-all for untrusted code. The default is allow-all
4. Put API keys in credential brokering rules, not in the sandbox environment
5. Pass persistent: false for one-off runs so no snapshot is stored or billed