Style fix

elastic · Dec 14, 2024 · 6656cb4 · 6656cb4
1 parent b637ad6
commit 6656cb4
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diff --git a/output/openapi/elasticsearch-openapi.json b/output/openapi/elasticsearch-openapi.json
diff --git a/output/openapi/elasticsearch-serverless-openapi.json b/output/openapi/elasticsearch-serverless-openapi.json
diff --git a/output/schema/schema.json b/output/schema/schema.json
diff --git a/specification/inference/put/PutRequest.ts b/specification/inference/put/PutRequest.ts
@@ -26,7 +26,7 @@ import { Id } from '@_types/common'
  * Create an inference endpoint.
  * 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.  
+ * 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.
  *