capabilities.work

Update an inference endpoint's settings

One step with Elastic Stack. We can help you get access.

Get something done

Update an inference endpoint's settings

with Elastic Stack · Artificial Intelligence Management

Use Elastic Stack: its Elasticsearch Request & Response Specification Inference API lets you update an inference endpoint's settings in a single step (PUT /_inference/{inference_id}/_update). capabilities.work can help you get signed up and connected.

  • Can I rotate the API key stored in an existing inference endpoint?
  • How can I change task settings or the number of allocations on an endpoint without recreating it?
Say it to your AI assistant
  • Update inference endpoint {inference_id} with new service settings {service_settings}.
  • Change the task settings of {inference_id} to {task_settings}.
For your developer

PUT /_inference/{inference_id}/_update in Elasticsearch Request & Response Specification Inference API. Full spec on APIs.io.

More you can do with Elastic Stack

Get ML memory usage across all nodesGet ML memory usage for one nodeGet machine learning defaults and limitsToggle ML upgrade modeSync ML saved objects in the default spaceChange which spaces ML jobs belong toChange which spaces trained models belong toClear a trained model deployment's inference cacheGet trained model configs by IDUpload a trained modelDelete an unreferenced trained modelCreate or reassign a trained model alias