Class PutMistralRequest

java.lang.Object
co.elastic.clients.elasticsearch._types.RequestBase
co.elastic.clients.elasticsearch.inference.PutMistralRequest
All Implemented Interfaces:
JsonpSerializable

@JsonpDeserializable public class PutMistralRequest extends RequestBase implements JsonpSerializable
Create a Mistral inference endpoint.

Creates an inference endpoint to perform an inference task with the mistral service.

When you create an inference endpoint, the associated machine learning model is automatically deployed if it is not already running. After creating the endpoint, wait for the model deployment to complete before using it. To verify the deployment status, use the get trained model statistics API. Look for "state": "fully_allocated" in the response and ensure that the "allocation_count" matches the "target_allocation_count". Avoid creating multiple endpoints for the same model unless required, as each endpoint consumes significant resources.

See Also: