remove useless log

Signed-off-by: xinyual <xinyual@amazon.com>

Author: xinyual

ml-algorithms/src/main/java/org/opensearch/ml/engine/algorithms/agent/MLChatAgentRunner.java

@@ -629,15 +629,7 @@ private void runReAct(
                             listener.onResponse(ModelTensorOutput.builder().mlModelOutputs(finalModelTensors).build());
                         }
                     } else {
-                        ActionRequest request2 = new MLPredictionTaskRequest(
-                                llm.getModelId(),
-                                RemoteInferenceMLInput
-                                        .builder()
-                                        .algorithm(FunctionName.REMOTE)
-                                        .inputDataset(RemoteInferenceInputDataSet.builder().parameters(tmpParameters).build())
-                                        .build()
-                        );
-                        client.execute(MLPredictionTaskAction.INSTANCE, request2, (ActionListener<MLTaskResponse>) nextStepListener);
+                        client.execute(MLPredictionTaskAction.INSTANCE, request, (ActionListener<MLTaskResponse>) nextStepListener);
                     }
                 }
             }, e -> {

ml-algorithms/src/main/java/org/opensearch/ml/engine/tools/AgentTool.java

@@ -53,11 +53,7 @@ public AgentTool(Client client, String agentId) {
 
     @Override
     public <T> void run(Map<String, String> parameters, ActionListener<T> listener) {
-        log.info("Agent tool before");
-        log.info(parameters);
         parameters = extractFromChatParameters(parameters);
-        log.info("Agent tool after");
-        log.info(parameters);
         AgentMLInput agentMLInput = AgentMLInput
             .AgentMLInputBuilder()
             .agentId(agentId)

ml-algorithms/src/main/java/org/opensearch/ml/engine/tools/MLModelTool.java

@@ -65,8 +65,6 @@ public MLModelTool(Client client, String modelId) {
 
     @Override
     public <T> void run(Map<String, String> parameters, ActionListener<T> listener) {
-        log.info("ML input");
-        log.info(parameters);
         RemoteInferenceInputDataSet inputDataSet = RemoteInferenceInputDataSet.builder().parameters(parameters).build();
         ActionRequest request = new MLPredictionTaskRequest(
             modelId,