capabilities.work

Create a Google AI Studio inference endpoint

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

Get something done

Create a Google AI Studio inference endpoint

with Elastic Stack · Artificial Intelligence Management

Use Elastic Stack: its Elasticsearch Request & Response Specification Inference API lets you create a Google AI Studio inference endpoint in a single step (PUT /_inference/{task_type}/{googleaistudio_inference_id}). capabilities.work can help you get signed up and connected.

  • How do I use Google AI Studio models for completion or embeddings in Elasticsearch?
  • What does a googleaistudio endpoint need in service_settings?
Say it to your AI assistant
  • Create a Google AI Studio {task_type} endpoint {googleaistudio_inference_id}.
  • Connect Google AI Studio as {googleaistudio_inference_id} for {task_type} using {service_settings}.
For your developer

PUT /_inference/{task_type}/{googleaistudio_inference_id} 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