diff --git a/code/backend/batch/utilities/plugins/ChatPlugin.py b/code/backend/batch/utilities/plugins/ChatPlugin.py
index eb3e79454..2d672537a 100644
--- a/code/backend/batch/utilities/plugins/ChatPlugin.py
+++ b/code/backend/batch/utilities/plugins/ChatPlugin.py
@@ -21,7 +21,6 @@ def search_documents(
             str, "A standalone question, converted from the chat history"
         ],
     ) -> Answer:
-        # TODO: Use Semantic Kernel to call LLM
         return QuestionAnswerTool().answer_question(
             question=question, chat_history=self.chat_history
         )
@@ -37,7 +36,6 @@ def text_processing(
             "The operation to be performed on the text. Like Translate to Italian, Summarize, Paraphrase, etc. If a language is specified, return that as part of the operation. Preserve the operation name in the user language.",
         ],
     ) -> Answer:
-        # TODO: Use Semantic Kernel to call LLM
         return TextProcessingTool().answer_question(
             question=self.question,
             chat_history=self.chat_history,
diff --git a/code/backend/batch/utilities/plugins/PostAnsweringPlugin.py b/code/backend/batch/utilities/plugins/PostAnsweringPlugin.py
index b6aa6128a..1c5d87378 100644
--- a/code/backend/batch/utilities/plugins/PostAnsweringPlugin.py
+++ b/code/backend/batch/utilities/plugins/PostAnsweringPlugin.py
@@ -8,5 +8,4 @@
 class PostAnsweringPlugin:
     @kernel_function(description="Run post answering prompt to validate the answer.")
     def validate_answer(self, arguments: KernelArguments) -> Answer:
-        # TODO: Use Semantic Kernel to call LLM
         return PostPromptTool().validate_answer(arguments["answer"])
diff --git a/infra/main.bicep b/infra/main.bicep
index 64d23b87d..f19c80f28 100644
--- a/infra/main.bicep
+++ b/infra/main.bicep
@@ -119,9 +119,10 @@ param azureOpenAIVisionModelVersion string = 'vision-preview'
 @description('Azure OpenAI Vision Model Capacity - See here for more info  https://learn.microsoft.com/en-us/azure/ai-services/openai/how-to/quota')
 param azureOpenAIVisionModelCapacity int = 10
 
-@description('Orchestration strategy: openai_function or langchain str. If you use a old version of turbo (0301), plese select langchain')
+@description('Orchestration strategy: openai_function or semantic_kernel or langchain str. If you use a old version of turbo (0301), please select langchain')
 @allowed([
   'openai_function'
+  'semantic_kernel'
   'langchain'
 ])
 param orchestrationStrategy string = 'openai_function'