Azure Content Understanding

import os
from azure.ai.contentunderstanding import ContentUnderstandingClient
from azure.ai.contentunderstanding.models import AnalysisInput
from azure.core.credentials import AzureKeyCredential

# 1. Set the environment variables
os.environ["OPENLAYER_API_KEY"] = "YOUR_OPENLAYER_API_KEY_HERE"
os.environ["OPENLAYER_INFERENCE_PIPELINE_ID"] = "YOUR_OPENLAYER_INFERENCE_PIPELINE_ID_HERE"

# 2. Call `init` to auto-instrument the installed LLM SDKs (Content Understanding, etc.)
from openlayer.lib import init

# Set attachment options if you want to upload documents to Openlayer storage
init(
    attachment_upload_enabled=True,   # upload binary/file attachments
    url_upload_enabled=True,          # also download & re-upload external URLs
)

client = ContentUnderstandingClient(  # auto-traced by Openlayer
    endpoint="YOUR_AZURE_CONTENT_UNDERSTANDING_ENDPOINT_HERE",
    credential=AzureKeyCredential("YOUR_AZURE_CONTENT_UNDERSTANDING_KEY_HERE"),
    api_version="2025-11-01",
)

# 3. Use the client normally — tracing happens automatically
poller = client.begin_analyze(
    analyzer_id="prebuilt-invoice",
    inputs=[AnalysisInput(url="https://example.com/invoice.pdf")],
)
result = poller.result()