Azure Ai Contentsafety Py

What it does

This skill leverages the Azure AI Content Safety client library for Python. It allows you to programmatically analyze text content and automatically detect potentially harmful or offensive material, such as hate speech, sexually suggestive content, self-harm threats, and violence. The analysis returns a detailed report with confidence scores for each category of potential violation.

When to use it

• Content Moderation: Automatically flag user-generated content on forums, social media platforms, or review sites before human moderation.
• Chatbot Safety: Integrate into chatbots to prevent them from generating inappropriate responses and ensure a safe user experience.
• Code Generation Security: Analyze code snippets generated by AI models for potential vulnerabilities or harmful instructions.
• Automated Document Review: Scan documents for sensitive content before distribution or publication, ensuring compliance with internal policies.

Key capabilities

• Text classification across multiple categories (hate speech, sexually suggestive content, self-harm, violence, etc.)
• Confidence scores for each category to assess the severity of potential violations.
• Detailed reports providing insights into why a piece of content was flagged.
• Python client library for easy integration with existing Python workflows.

Example prompts

• "Analyze this text: 'This is an example sentence.'"
• "Check this user comment for any harmful language: [user comment]"
• "Can you assess the safety risk of this generated code snippet?"

Tips & gotchas

• Requires an Azure subscription and access to the AI Content Safety service. You'll need your endpoint key and deployment name.
• The accuracy of content detection depends on the quality and context of the input text.