function_app/bp_doc_intel_extract_city_names.py [39:69]:
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DOC_INTEL_MODEL_ID = "prebuilt-read"  # Set Document Intelligence model ID

# Set up the Document Intelligence v4.0 preview client. This will allow us to
# use the latest features of the Document Intelligence service. Check out the
# Document Intelligence Processor Walkthrough Notebook for more information
# (within the `notebooks` folder).
di_client = DocumentIntelligenceClient(
    endpoint=DOC_INTEL_ENDPOINT,
    credential=DefaultAzureCredential(),
    api_version="2024-07-31-preview",
)
aoai_client = AzureOpenAI(
    azure_endpoint=AOAI_ENDPOINT,
    azure_deployment=AOAI_LLM_DEPLOYMENT,
    azure_ad_token_provider=aoai_token_provider,
    api_version="2024-06-01",
    timeout=30,
    max_retries=0,
)

# Create the Doc Intelligence result processor. This can be configured to
# process the raw Doc Intelligence result into a format that is easier
# to work with downstream.
doc_intel_result_processor = DocumentIntelligenceProcessor(
    page_processor=DefaultDocumentPageProcessor(
        page_img_order="after",  # Include each page image after the page's text content"
    ),
    figure_processor=DefaultDocumentFigureProcessor(
        output_figure_img=False,  # Exclude cropped figure images from the output
    ),
)
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function_app/bp_form_extraction_with_confidence.py [56:86]:
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DOC_INTEL_MODEL_ID = "prebuilt-read"  # Set Document Intelligence model ID

# Set up the Document Intelligence v4.0 preview client. This will allow us to
# use the latest features of the Document Intelligence service. Check out the
# Document Intelligence Processor Walkthrough Notebook for more information
# (within the `notebooks` folder).
di_client = DocumentIntelligenceClient(
    endpoint=DOC_INTEL_ENDPOINT,
    credential=DefaultAzureCredential(),
    api_version="2024-07-31-preview",
)
aoai_client = AzureOpenAI(
    azure_endpoint=AOAI_ENDPOINT,
    azure_deployment=AOAI_LLM_DEPLOYMENT,
    azure_ad_token_provider=aoai_token_provider,
    api_version="2024-06-01",
    timeout=30,
    max_retries=0,
)

# Create the Doc Intelligence result processor. This can be configured to
# process the raw Doc Intelligence result into a format that is easier
# to work with downstream.
doc_intel_result_processor = DocumentIntelligenceProcessor(
    page_processor=DefaultDocumentPageProcessor(
        page_img_order="after",  # Include each page image after the page's text content"
    ),
    figure_processor=DefaultDocumentFigureProcessor(
        output_figure_img=False,  # Exclude cropped figure images from the output
    ),
)
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