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部署与运维 · SKILL.md

cli-and-cloud

cli-and-cloud

【部署与运维】Use BentoML CLI command families and BentoCloud workflows safely: login/context, deploy/deployment lifecycle, codespaces, secrets, API tokens, push/pull, and cloud troubleshooting. Use when a task asks for bentoml terminal commands or BentoCloud operations rather than Python service authoring, local serving/client calls, container builds, or observab…

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name: cli-and-cloud description: "Use BentoML CLI command families and BentoCloud workflows safely: login/context, deploy/deployment lifecycle, codespaces, secrets, API tokens, push/pull, and cloud troubleshooting. Use when a task asks for bentoml terminal commands or BentoCloud operations rather than Python service authoring, local serving/client calls, container builds, or observability setup." disable-model-invocation: true metadata: disco-role: operating license: Apache 2.0

BentoML CLI And BentoCloud

Use this sub-skill when the user needs a safe command plan or troubleshooting path for BentoML CLI and BentoCloud. Treat credentialed cloud commands as user-run operations unless the user explicitly asks you to execute them in an authenticated environment.

Safe Operating Rules

  • Prefer local, non-mutating checks first: bentoml --help, bentoml <command> --help, config-file linting, and command construction.
  • Never print, store, or request raw API token values. bentoml api-token create shows the token once; tell the user to save it securely outside the transcript.
  • Ask before running credentialed or mutating cloud operations such as bentoml cloud login, bentoml deploy, bentoml deployment update/apply/start/terminate/delete, bentoml secret create/apply/delete, bentoml api-token create/delete, bentoml push, and bentoml pull.
  • Classify destructive operations clearly: deployment delete is irreversible, deployment terminate stops billing-capable workloads but can be restarted, and secret delete/api-token delete can break deployments or automation.
  • Do not put secrets in command lines when avoidable. Use environment variables, files managed by the user, or BentoCloud secrets, and redact values in outputs.

Workflow Routing

  • For CLI command discovery and safe local checks, use references/cli-catalog.md and scripts/inspect_bentoml_cli.py.
  • For BentoCloud login, context, deployment, codespace, secret, API-token, push/pull, and CI/CD command plans, use references/bentocloud-workflows.md.
  • For errors such as not logged in, wrong context/cluster, missing tokens/secrets, invalid deployment config, wait timeout, quota, auth failures, or destructive-operation risk, use references/troubleshooting.md.
  • For deployment YAML/JSON review before a cloud call, run scripts/deployment_config_lint.py locally.

Common Command Plans

Inspect CLI Without Cloud Access

python skills/bentoml/sub-skills/cli-and-cloud/scripts/inspect_bentoml_cli.py --commands "cloud" "deployment" "deploy" "secret" "api-token"

This helper only imports the local CLI and renders Click help through CliRunner; it does not log in or contact BentoCloud.

Login And Verify Context

bentoml cloud login
bentoml cloud current-context
bentoml cloud list-context

Use bentoml cloud login --api-token "$BENTOCLOUD_API_TOKEN" only in user-controlled shells or CI logs with secret masking. The CLI also accepts BENTO_CLOUD_API_ENDPOINT and BENTO_CLOUD_API_KEY environment variables.

Deploy From A Project Directory

bentoml deploy . -n my-deployment --cluster my-cluster --scaling-min 0 --scaling-max 3 --wait --timeout 3600

If configuration is complex or there are multiple services, prefer a YAML/JSON config and lint it first:

python skills/bentoml/sub-skills/cli-and-cloud/scripts/deployment_config_lint.py config-file.yaml
bentoml deploy -f config-file.yaml

Manage A Deployment

bentoml deployment list --cluster my-cluster
bentoml deployment get my-deployment --cluster my-cluster -o yaml
bentoml deployment update my-deployment --cluster my-cluster --scaling-min 1 --scaling-max 5
bentoml deployment apply my-deployment --cluster my-cluster -f deployment.yaml
bentoml deployment terminate my-deployment --cluster my-cluster --wait

Use update for patch-only changes. Use apply when the config should become the desired full state; it can reset or remove unspecified fields.

Cross-References

  • CLI command catalog: references/cli-catalog.md
  • BentoCloud workflows: references/bentocloud-workflows.md
  • Troubleshooting guide: references/troubleshooting.md
  • Local CLI help inspector: scripts/inspect_bentoml_cli.py
  • Local deployment config linter: scripts/deployment_config_lint.py
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