function_app/bp_doc_intel_extract_city_names.py [203:234]:
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        )
        output_model.di_time_taken_secs = di_timer.time_taken
        ### 3. Create the messages to send to the LLM in the following order:
        #      i. System prompt
        #      ii. Extracted text and images from Document Intelligence
        error_text = "An error occurred while creating the LLM input messages."
        # Convert chunk content to OpenAI messages
        content_openai_message = convert_processed_di_docs_to_openai_message(
            merged_processed_content_docs, role="user"
        )
        input_messages = [
            {
                "role": "system",
                "content": LLM_SYSTEM_PROMPT,
            },
            content_openai_message,
        ]
        output_model.llm_input_messages = input_messages

        ### 4. Send request to LLM
        error_text = "An error occurred when sending the LLM request."
        with MeasureRunTime() as llm_timer:
            llm_result = aoai_client.chat.completions.create(
                messages=input_messages,
                model=AOAI_LLM_DEPLOYMENT,
                response_format={"type": "json_object"},  # Ensure we get JSON responses
            )
        output_model.llm_time_taken_secs = llm_timer.time_taken
        ### 5. Validate that the LLM response matches the expected schema
        error_text = "An error occurred when validating the LLM's returned response into the expected schema."
        output_model.llm_reply_message = llm_result.choices[0].to_dict()
        output_model.llm_raw_response = llm_result.choices[0].message.content
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function_app/bp_form_extraction_with_confidence.py [349:381]:
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        )
        output_model.di_time_taken_secs = di_timer.time_taken

        ### 3. Create the messages to send to the LLM in the following order:
        #      i. System prompt
        #      ii. Extracted text and images from Document Intelligence
        error_text = "An error occurred while creating the LLM input messages."
        # Convert chunk content to OpenAI messages
        content_openai_message = convert_processed_di_docs_to_openai_message(
            merged_processed_content_docs, role="user"
        )
        input_messages = [
            {
                "role": "system",
                "content": LLM_SYSTEM_PROMPT,
            },
            content_openai_message,
        ]
        output_model.llm_input_messages = input_messages

        ### 4. Send request to LLM
        error_text = "An error occurred when sending the LLM request."
        with MeasureRunTime() as llm_timer:
            llm_result = aoai_client.chat.completions.create(
                messages=input_messages,
                model=AOAI_LLM_DEPLOYMENT,
                response_format={"type": "json_object"},  # Ensure we get JSON responses
            )
        output_model.llm_time_taken_secs = llm_timer.time_taken
        ### 5. Validate that the LLM response matches the expected schema
        error_text = "An error occurred when validating the LLM's returned response into the expected schema."
        output_model.llm_reply_message = llm_result.choices[0].to_dict()
        output_model.llm_raw_response = llm_result.choices[0].message.content
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