Clear trained model deployment cache API

POST _ml/trained_models/<deployment_id>/deployment/cache/_clear

Requires the manage_ml cluster privilege. This privilege is included in the machine_learning_admin built-in role.

A trained model deployment may have an inference cache enabled. As requests are handled by each allocated node, their responses may be cached on that individual node. Calling this API clears the caches without restarting the deployment.

The following example clears the cache for the new deployment for the elastic__distilbert-base-uncased-finetuned-conll03-english trained model:

resp = client.ml.clear_trained_model_deployment_cache(
    model_id="elastic__distilbert-base-uncased-finetuned-conll03-english",
)
print(resp)

response = client.ml.clear_trained_model_deployment_cache(
  model_id: 'elastic__distilbert-base-uncased-finetuned-conll03-english'
)
puts response

const response = await client.ml.clearTrainedModelDeploymentCache({
  model_id: "elastic__distilbert-base-uncased-finetuned-conll03-english",
});
console.log(response);

POST _ml/trained_models/elastic__distilbert-base-uncased-finetuned-conll03-english/deployment/cache/_clear

The API returns the following results:

{
   "cleared": true
}