azure ai content understanding custom analyzer is not showing from portal with python sdk.

Hi Mahesh,

Good morning!

Regarding 400- client error - The api-version=2024-12-01-preview might not work for analyzing as per product group

Recommended API version -

    api_version="2025-05-01-preview",

Attached working code for reference

from pathlib import Path
import sys
ANALYZER_SAMPLE_FILE = './azure-ai-content-understanding-python/data/invoice.pdf'


from azure.identity import DefaultAzureCredential, get_bearer_token_provider

credential = DefaultAzureCredential()
token_provider = get_bearer_token_provider(credential, "https://cognitiveservices.azure.com/.default")
import requests
import json
import sys
import uuid
from pathlib import Path

#set analyzer configs
analyzer_configs = [
    {
        "id": "doc-analyzer" + str(uuid.uuid4()),
        "template_path": "./azure-ai-content-understanding-python/analyzer_templates/content_document.json",
        "location": "./data/sample_layout.pdf",
   },
   

]

# Create Content Understanding client
content_understanding_client = AzureContentUnderstandingClient(
    endpoint="https://testagentmm02.cognitiveservices.azure.com/",
    api_version="2025-05-01-preview",
    token_provider=token_provider,
    x_ms_useragent="azure-ai-content-understanding-python/content_extraction", # This header is used for sample usage telemetry, please comment out this line if you want to opt out.
)

# Iterate through each config and create an analyzer
for analyzer in analyzer_configs:
    analyzer_id = analyzer["id"]
    template_path = analyzer["template_path"]
    file_location = analyzer["location"]

    try:

        # Create the analyzer using the content understanding client
        response = content_understanding_client.begin_create_analyzer(
            analyzer_id=analyzer_id,
            analyzer_template_path=template_path,
            #location = file_location
        )
        result = content_understanding_client.poll_result(response)
        print(f"Successfully created analyzer: {analyzer_id}")

    except Exception as e:
        print(f"Failed to create analyzer: {analyzer_id}")
        print(f"Error: {e}")



ANALYZER_SAMPLE_FILE = './azure-ai-content-understanding-python/data/invoice.pdf'
#ANALYZER_ID = 'prebuilt-documentAnalyzer'

# Analyze document file
response = content_understanding_client.begin_analyze(analyzer["id"], file_location=ANALYZER_SAMPLE_FILE)
result_json = content_understanding_client.poll_result(response)

print(json.dumps(result_json, indent=2))