jambu-gpu 0.2.0

GPUs that cannot keep billing, and a contract any application can integrate.

Lifecycle

• The watchdog retries a failed stop (destroys after 30 min of failures), re-arms on every restart, and runs under a supervisor.
• Inference traffic counts as activity; stopped instances are destroyed after lifecycle.stopped_ttl (default 24h).
• gpu ls and gpu sweep (with a systemd timer) guard every project by its own rules and clean up orphans.
• Failed setups always clean up; bad hosts are replaced automatically and remembered for a day.

Integration

• The model endpoint now requires a key, generated per instance.
• gpu --json setup / gpu env return base_url, api_key and model for any OpenAI SDK.
• docs/INTEGRATION.md: commands, JSON, exit codes, lifecycle, recipes for TypeScript, Python and shell.
• examples/typescript-client: a one-file helper that ensures the GPU and heals the connection after an idle stop.

Validated on real Vast.ai hardware: see docs/ACCEPTANCE.md.

pip install jambu-gpu==0.2.0