Technical & DevelopmentIntermediate

azure-ai-contentsafety-py

Harmful content detection

Developer Setup

Setup & Installation

bash

npx skills add https://github.com/microsoft/skills --skill azure-ai-contentsafety-py

npx skills add https://github.com/microsoft/skills --skill azure-ai-contentsafety-py

Or paste this URL into your assistant to install:

https://github.com/microsoft/skills/tree/main/.github/plugins/azure-sdk-python/skills/azure-ai-contentsafety-py View on GitHub

Overview

What This Skill Does

Azure AI Content Safety SDK for Python connects to Microsoft's content moderation API to analyze text and images for harmful content. It classifies results across four harm categories (hate, sexual, violence, self-harm) with severity scores. Supports custom blocklists for domain-specific filtering.

Application

When to use this Skill

Configuring integration settings for custom agent workflows.
Optimizing query execution and response latency in production.
Developing clean, standard-compliant implementations for enterprise services.
Troubleshooting connection timeouts and authentication handshakes.
Monitoring API rate limits and execution pipelines programmatically.

Documentation

Show Skills.md file

Azure AI Content Safety SDK for Python

Detect harmful user-generated and AI-generated content in applications.

Installation

pip install azure-ai-contentsafety

Environment Variables

CONTENT_SAFETY_ENDPOINT=https://<resource>.cognitiveservices.azure.com  # Required for all auth methods
AZURE_TOKEN_CREDENTIALS=prod # Required only if DefaultAzureCredential is used in production
CONTENT_SAFETY_KEY=<your-api-key>  # Only required for the legacy API-key auth path below

Authentication & Lifecycle

🔑 Two rules apply to every code sample below:

Prefer DefaultAzureCredential. It works locally (Azure CLI / VS Code / Developer CLI) and in Azure (managed identity, workload identity) with no code change. Avoid connection strings, account/API keys — they bypass Entra audit and rotation.

Local dev: DefaultAzureCredential works as-is.

Production: set AZURE_TOKEN_CREDENTIALS=prod (or AZURE_TOKEN_CREDENTIALS=<specific_credential>) to constrain the credential chain to production-safe credentials.

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