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Delete inference API

This functionality is in technical preview and may be changed or removed in a future release. Elastic will work to fix any issues, but features in technical preview are not subject to the support SLA of official GA features.

Deletes an inference endpoint.

The inference APIs enable you to use certain services, such as built-in machine learning models (ELSER, E5), models uploaded through Eland, Cohere, OpenAI, Azure, Google AI Studio, Google Vertex AI or Hugging Face. For built-in models and models uploaded through Eland, the inference APIs offer an alternative way to use and manage trained models. However, if you do not plan to use the inference APIs to use these models or if you want to use non-NLP models, use the Machine learning trained model APIs.

Request

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DELETE /_inference/<inference_id>

DELETE /_inference/<task_type>/<inference_id>

Prerequisites

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Requires the manage_inference cluster privilege (the built-in inference_admin role grants this privilege)

Path parameters

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<inference_id>: (Required, string) The unique identifier of the inference endpoint to delete.
<task_type>: (Optional, string) The type of inference task that the model performs.

Query parameters

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dry_run: (Optional, Boolean) When true, checks the inference processors that reference the endpoint and returns them in a list, but does not delete the endpoint. Defaults to false.
force: (Optional, Boolean) Deletes the endpoint regardless if it’s used in an inference pipeline or in a semantic_text field.

Examples

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The following API call deletes the my-elser-model inference model that can perform sparse_embedding tasks.

resp = client.inference.delete(
    task_type="sparse_embedding",
    inference_id="my-elser-model",
)
print(resp)

response = client.inference.delete_model(
  task_type: 'sparse_embedding',
  inference_id: 'my-elser-model'
)
puts response

const response = await client.inference.delete({
  task_type: "sparse_embedding",
  inference_id: "my-elser-model",
});
console.log(response);

DELETE /_inference/sparse_embedding/my-elser-model

The API returns the following response:

{
  "acknowledged": true
}

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