diff --git a/ml-algorithms/src/main/java/org/opensearch/ml/engine/Predictable.java b/ml-algorithms/src/main/java/org/opensearch/ml/engine/Predictable.java
index 93c1c69fb3..5ee1e4d7a1 100644
--- a/ml-algorithms/src/main/java/org/opensearch/ml/engine/Predictable.java
+++ b/ml-algorithms/src/main/java/org/opensearch/ml/engine/Predictable.java
@@ -38,7 +38,7 @@ default MLOutput predict(MLInput mlInput) {
     }
 
     default void asyncPredict(MLInput mlInput, ActionListener<MLTaskResponse> actionListener) {
-        throw new IllegalStateException("Method is not implemented");
+        actionListener.onFailure(new IllegalStateException("Method is not implemented"));
     }
 
     /**
diff --git a/ml-algorithms/src/main/java/org/opensearch/ml/engine/algorithms/remote/RemoteConnectorExecutor.java b/ml-algorithms/src/main/java/org/opensearch/ml/engine/algorithms/remote/RemoteConnectorExecutor.java
index ab4d01bae4..52096b1790 100644
--- a/ml-algorithms/src/main/java/org/opensearch/ml/engine/algorithms/remote/RemoteConnectorExecutor.java
+++ b/ml-algorithms/src/main/java/org/opensearch/ml/engine/algorithms/remote/RemoteConnectorExecutor.java
@@ -42,31 +42,36 @@ default void executePredict(MLInput mlInput, ActionListener<MLTaskResponse> acti
             actionListener.onResponse(new MLTaskResponse(new ModelTensorOutput(r)));
         }, actionListener::onFailure);
         Map<Integer, ModelTensors> modelTensors = new ConcurrentHashMap<>();
-        if (mlInput.getInputDataset() instanceof TextDocsInputDataSet) {
-            TextDocsInputDataSet textDocsInputDataSet = (TextDocsInputDataSet) mlInput.getInputDataset();
-            Tuple<Integer, Integer> calculatedChunkSize = calculateChunkSize(textDocsInputDataSet);
-            CountDownLatch countDownLatch = new CountDownLatch(calculatedChunkSize.v1());
-            int sequence = 0;
-            for (int processedDocs = 0; processedDocs < textDocsInputDataSet.getDocs().size(); processedDocs += calculatedChunkSize.v2()) {
-                List<String> textDocs = textDocsInputDataSet.getDocs().subList(processedDocs, textDocsInputDataSet.getDocs().size());
+        try {
+            if (mlInput.getInputDataset() instanceof TextDocsInputDataSet) {
+                TextDocsInputDataSet textDocsInputDataSet = (TextDocsInputDataSet) mlInput.getInputDataset();
+                Tuple<Integer, Integer> calculatedChunkSize = calculateChunkSize(textDocsInputDataSet);
+                CountDownLatch countDownLatch = new CountDownLatch(calculatedChunkSize.v1());
+                int sequence = 0;
+                for (int processedDocs = 0; processedDocs < textDocsInputDataSet.getDocs().size(); processedDocs += calculatedChunkSize
+                    .v2()) {
+                    List<String> textDocs = textDocsInputDataSet.getDocs().subList(processedDocs, textDocsInputDataSet.getDocs().size());
+                    preparePayloadAndInvokeRemoteModel(
+                        MLInput
+                            .builder()
+                            .algorithm(FunctionName.TEXT_EMBEDDING)
+                            .inputDataset(TextDocsInputDataSet.builder().docs(textDocs).build())
+                            .build(),
+                        modelTensors,
+                        new WrappedCountDownLatch(sequence++, countDownLatch),
+                        tensorActionListener
+                    );
+                }
+            } else {
                 preparePayloadAndInvokeRemoteModel(
-                    MLInput
-                        .builder()
-                        .algorithm(FunctionName.TEXT_EMBEDDING)
-                        .inputDataset(TextDocsInputDataSet.builder().docs(textDocs).build())
-                        .build(),
+                    mlInput,
                     modelTensors,
-                    new WrappedCountDownLatch(sequence++, countDownLatch),
+                    new WrappedCountDownLatch(0, new CountDownLatch(1)),
                     tensorActionListener
                 );
             }
-        } else {
-            preparePayloadAndInvokeRemoteModel(
-                mlInput,
-                modelTensors,
-                new WrappedCountDownLatch(0, new CountDownLatch(1)),
-                tensorActionListener
-            );
+        } catch (Exception e) {
+            actionListener.onFailure(e);
         }
     }
 
diff --git a/ml-algorithms/src/test/java/org/opensearch/ml/engine/algorithms/remote/AwsConnectorExecutorTest.java b/ml-algorithms/src/test/java/org/opensearch/ml/engine/algorithms/remote/AwsConnectorExecutorTest.java
index 43f18c53f6..94b4a7304a 100644
--- a/ml-algorithms/src/test/java/org/opensearch/ml/engine/algorithms/remote/AwsConnectorExecutorTest.java
+++ b/ml-algorithms/src/test/java/org/opensearch/ml/engine/algorithms/remote/AwsConnectorExecutorTest.java
@@ -281,7 +281,7 @@ public void executePredict_TextDocsInferenceInput_withStepSize() {
     }
 
     @Test
-    public void executePredict_RemoteInferenceInput_nullHttpClient_throwMLException() throws NoSuchFieldException, IllegalAccessException {
+    public void executePredict_RemoteInferenceInput_nullHttpClient_throwNPException() throws NoSuchFieldException, IllegalAccessException {
         ConnectorAction predictAction = ConnectorAction
             .builder()
             .actionType(ConnectorAction.ActionType.PREDICT)
@@ -319,4 +319,42 @@ public void executePredict_RemoteInferenceInput_nullHttpClient_throwMLException(
         Mockito.verify(actionListener, times(1)).onFailure(exceptionCaptor.capture());
         assert exceptionCaptor.getValue() instanceof NullPointerException;
     }
+
+    @Test
+    public void executePredict_RemoteInferenceInput_negativeStepSize_throwIllegalArgumentException() {
+        ConnectorAction predictAction = ConnectorAction
+            .builder()
+            .actionType(ConnectorAction.ActionType.PREDICT)
+            .method("POST")
+            .url("http://openai.com/mock")
+            .requestBody("{\"input\": \"${parameters.input}\"}")
+            .build();
+        Map<String, String> credential = ImmutableMap
+            .of(ACCESS_KEY_FIELD, encryptor.encrypt("test_key"), SECRET_KEY_FIELD, encryptor.encrypt("test_secret_key"));
+        Map<String, String> parameters = ImmutableMap
+            .of(REGION_FIELD, "us-west-2", SERVICE_NAME_FIELD, "sagemaker", "input_docs_processed_step_size", "-1");
+        Connector connector = AwsConnector
+            .awsConnectorBuilder()
+            .name("test connector")
+            .version("1")
+            .protocol("http")
+            .parameters(parameters)
+            .credential(credential)
+            .actions(Arrays.asList(predictAction))
+            .build();
+        connector.decrypt((c) -> encryptor.decrypt(c));
+        AwsConnectorExecutor executor = spy(new AwsConnectorExecutor(connector));
+        Settings settings = Settings.builder().build();
+        threadContext = new ThreadContext(settings);
+        when(executor.getClient()).thenReturn(client);
+        when(client.threadPool()).thenReturn(threadPool);
+        when(threadPool.getThreadContext()).thenReturn(threadContext);
+
+        MLInputDataset inputDataSet = TextDocsInputDataSet.builder().docs(ImmutableList.of("input1", "input2", "input3")).build();
+        executor
+            .executePredict(MLInput.builder().algorithm(FunctionName.TEXT_EMBEDDING).inputDataset(inputDataSet).build(), actionListener);
+        ArgumentCaptor<Exception> exceptionCaptor = ArgumentCaptor.forClass(Exception.class);
+        Mockito.verify(actionListener, times(1)).onFailure(exceptionCaptor.capture());
+        assert exceptionCaptor.getValue() instanceof IllegalArgumentException;
+    }
 }