fix IT failure

Signed-off-by: zane-neo <zaniu@amazon.com>

Author: zane-neo

plugin/src/test/java/org/opensearch/ml/rest/MLCommonsRestTestCase.java

@@ -930,6 +930,25 @@ public Map predictTextEmbeddingModel(String modelId, MLInput input) throws IOExc
         return parseResponseToMap(response);
     }
 
+    public Map predictTextEmbeddingModelIgnoreFunctionName(String modelId, MLInput mlInput) throws IOException {
+        Response response = null;
+        try {
+            response = TestHelper
+                .makeRequest(
+                    client(),
+                    "POST",
+                    "/_plugins/_ml/models/" + modelId + "/_predict",
+                    null,
+                    TestHelper.toJsonString(mlInput),
+                    null
+                );
+        } catch (ResponseException e) {
+            log.error(e.getMessage(), e);
+            response = e.getResponse();
+        }
+        return parseResponseToMap(response);
+    }
+
     public Consumer<Map<String, Object>> verifyTextEmbeddingModelDeployed() {
         return (modelProfile) -> {
             if (modelProfile.containsKey("model_state")) {

plugin/src/test/java/org/opensearch/ml/rest/RestBedRockInferenceIT.java

@@ -15,6 +15,7 @@
 
 import org.junit.Before;
 import org.opensearch.ml.common.FunctionName;
+import org.opensearch.ml.common.connector.ConnectorAction;
 import org.opensearch.ml.common.dataset.TextDocsInputDataSet;
 import org.opensearch.ml.common.dataset.remote.RemoteInferenceInputDataSet;
 import org.opensearch.ml.common.input.MLInput;
@@ -327,9 +328,10 @@ public void test_bedrock_embedding_v2_model_with_request_dimensions() throws Exc
         RemoteInferenceInputDataSet inputDataSet = RemoteInferenceInputDataSet
             .builder()
             .parameters(Map.of("inputText", "Can you tell me a joke?", "dimensions", "512"))
+            .actionType(ConnectorAction.ActionType.PREDICT)
             .build();
         MLInput mlInput = MLInput.builder().inputDataset(inputDataSet).algorithm(FunctionName.REMOTE).build();
-        Map inferenceResult = predictTextEmbeddingModel(modelId, mlInput);
+        Map inferenceResult = predictTextEmbeddingModelIgnoreFunctionName(modelId, mlInput);
         String errorMsg = String
             .format(Locale.ROOT, "Failing test case name: %s, inference result: %s", testCaseName, gson.toJson(inferenceResult));
         assertTrue(errorMsg, inferenceResult.containsKey("inference_results"));