function_app/bp_content_understanding_audio.py [113:142]:
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        error_text = "Invalid Analyzer ID."
        error_code = 500

        # Check if the analyzer already exists when the resource was last checked.
        global existing_cu_analyzer_ids
        if analyzer_id not in existing_cu_analyzer_ids:
            # Refresh the list of existing analyzers
            existing_cu_analyzer_ids = get_existing_analyzer_ids(cu_client)
            if analyzer_id not in existing_cu_analyzer_ids:
                # Analyzer is not available or deployed in the resource.
                raise KeyError(
                    (
                        f"Analyzer ID '{analyzer_id}' is not available. "
                        "Ensure that the Analyzer has already been created within the AI services resource."
                    )
                )

        ### 2. Extract the content using Content Understanding
        error_text = "An error occurred during Content Understanding extraction."
        with MeasureRunTime() as cu_timer:
            response = cu_client.begin_analyze(
                analyzer_id=analyzer_id,
                file_bytes=file_bytes,
            )
            cu_result = cu_client.poll_result(response)
        output_model.cu_raw_response = cu_result
        output_model.cu_time_taken_secs = cu_timer.time_taken

        ### 3. Process the markdown WEBVTT transcript to a slightly more readable format
        error_text = "An error occurred during post-processing."
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function_app/bp_content_understanding_document.py [128:157]:
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        error_text = "Invalid Analyzer ID."
        error_code = 500

        # Check if the analyzer already exists when the resource was last checked.
        global existing_cu_analyzer_ids
        if analyzer_id not in existing_cu_analyzer_ids:
            # Refresh the list of existing analyzers
            existing_cu_analyzer_ids = get_existing_analyzer_ids(cu_client)
            if analyzer_id not in existing_cu_analyzer_ids:
                # Analyzer is not available or deployed in the resource.
                raise KeyError(
                    (
                        f"Analyzer ID '{analyzer_id}' is not available. "
                        "Ensure that the Analyzer has already been created within the AI services resource."
                    )
                )

        ### 2. Extract the content using Content Understanding
        error_text = "An error occurred during Content Understanding extraction."
        with MeasureRunTime() as cu_timer:
            response = cu_client.begin_analyze(
                analyzer_id=analyzer_id,
                file_bytes=file_bytes,
            )
            cu_result = cu_client.poll_result(response)
        output_model.cu_raw_response = cu_result
        output_model.cu_time_taken_secs = cu_timer.time_taken

        ### 3. Enrich the raw CU API result with additional metadata (normalized polygons, page number etc)
        error_text = "An error occurred during post-processing."
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