elasticsearch/docs/reference/ml/trained-models/apis/stop-trained-model-deployment.asciidoc
2024-12-31 11:32:29 -08:00

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[role="xpack"]
[[stop-trained-model-deployment]]
= Stop trained model deployment API
[subs="attributes"]
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<titleabbrev>Stop trained model deployment</titleabbrev>
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.New API reference
[sidebar]
--
For the most up-to-date API details, refer to {api-es}/group/endpoint-ml-trained-model[{ml-cap} trained model APIs].
--
Stops a trained model deployment.
[[stop-trained-model-deployment-request]]
== {api-request-title}
`POST _ml/trained_models/<deployment_id>/deployment/_stop`
[[stop-trained-model-deployment-prereq]]
== {api-prereq-title}
Requires the `manage_ml` cluster privilege. This privilege is included in the
`machine_learning_admin` built-in role.
[[stop-trained-model-deployment-desc]]
== {api-description-title}
Deployment is required only for trained models that have a PyTorch `model_type`.
[[stop-trained-model-deployment-path-params]]
== {api-path-parms-title}
`<deployment_id>`::
(Required, string)
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=deployment-id]
[[stop-trained-model-deployment-query-params]]
== {api-query-parms-title}
`allow_no_match`::
(Optional, Boolean)
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=allow-no-match-deployments]
`force`::
(Optional, Boolean) If true, the deployment is stopped even if it or one of its
model aliases is referenced by ingest pipelines. You can't use these pipelines
until you restart the model deployment.
`finish_pending_work`::
(Optional, Boolean) If true, the deployment is stopped after any queued work is completed. Defaults to `false`.
////
[role="child_attributes"]
[[stop-trained-model-deployment-results]]
== {api-response-body-title}
////
////
[[stop-trained-models-response-codes]]
== {api-response-codes-title}
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[[stop-trained-model-deployment-example]]
== {api-examples-title}
The following example stops the `my_model_for_search` deployment:
[source,console]
--------------------------------------------------
POST _ml/trained_models/my_model_for_search/deployment/_stop
--------------------------------------------------