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Azure AI Services

Guidance for building and deploying AI solutions on Azure using Azure AI services and Copilot for Azure

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references/sdk/azure-ai-contentsafety-py.md

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Azure AI Content Safety — Python SDK Quick Reference

Condensed from azure-ai-contentsafety-py. Full patterns (blocklist management, image analysis, 8-severity mode) in the azure-ai-contentsafety-py plugin skill if installed.

Install

pip install azure-ai-contentsafety

Quick Start

from azure.ai.contentsafety import ContentSafetyClient, BlocklistClient
from azure.ai.contentsafety.models import AnalyzeTextOptions, TextCategory
client = ContentSafetyClient(endpoint=endpoint, credential=credential)

Non-Obvious Patterns

Two clients: ContentSafetyClient (analyze) and BlocklistClient (blocklist management)
Image from file: base64-encode bytes, pass via ImageData(content=base64_str)
8-severity mode: AnalyzeTextOptions(text=..., output_type=AnalyzeTextOutputType.EIGHT_SEVERITY_LEVELS)
Blocklist analyze: AnalyzeTextOptions(text=..., blocklist_names=[...], halt_on_blocklist_hit=True)

Best Practices

Use blocklists for domain-specific terms
Set severity thresholds appropriate for your use case
Handle multiple categories — content can be harmful in multiple ways
Use halt_on_blocklist_hit for immediate rejection
Log analysis results for audit and improvement
Consider 8-severity mode for finer-grained control
Pre-moderate AI outputs before showing to users