---

name: deployment-extensions description: "Use GluonTS CLI checks, shell train/serve deployment contracts, inference payload validation, and optional extension adapters." disable-model-invocation: true metadata: disco-role: operating license: Apache 2.0

deployment-extensions

Use this sub-skill when a task involves package CLI/version checks, gluonts.shell training or serving entrypoints, SageMaker-style inference payloads, batch transform JSON Lines, dynamic shell forecaster selection, or optional gluonts.ext adapters.

Route by task

• Package sanity/version checks: read references/cli-reference.md and run python -m gluonts version in the target environment.
• Shell train/serve contract: read references/deployment-workflows.md before using python -m gluonts.shell train or python -m gluonts.shell serve.
• Inference payload shape: run scripts/shell_payload_validator.py --help, then validate a request JSON before sending it to a GluonTS shell endpoint.
• Batch transform JSON Lines: read references/deployment-workflows.md#batch-transform-json-lines; the bundled validator checks normal JSON request envelopes, while batch mode supplies configuration through INFERENCE_CONFIG.
• Optional adapters: read references/extension-adapters.md before importing gluonts.ext.*; most adapters require optional Python packages, R packages, or service dependencies.
• Failures: read references/troubleshooting.md for missing extras, forecaster lookup, nested hyperparameters, static/dynamic serving confusion, and legacy backend caveats.

Safe local checks

These commands perform no Docker build, web-server startup, AWS call, training, or checkout-relative read:

python -m gluonts --help
python -m gluonts version
python -m gluonts.shell --help
python path/to/scripts/shell_payload_validator.py --help
python path/to/scripts/shell_payload_validator.py --input request.json

gluonts.shell help requires the shell dependencies (flask and waitress) to be installed. For deployment containers, install the package with the shell extra plus any model-specific extras needed by the selected forecaster.

Boundaries

This sub-skill covers deployment interfaces and extension routing only. It does not build Docker images, start production servers, call AWS APIs, install untrusted dynamic code, or verify optional extension backends by default. MXNet workflows are legacy and were not selected as verified required workflows; do not claim MXNet deployment support unless the user supplies and verifies a compatible environment.