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/azure-aigateway

@b3c238e
by microsoftmicrosoft/skills3.1k stars
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Configure Azure API Management as an AI Gateway for AI models, MCP tools, and agents. WHEN: semantic caching, token limit, content safety, load balancing, AI model governance, MCP rate limiting, jailbreak detection, add Azure OpenAI backend, add AI Foundry model, test AI gateway, LLM policies, configure AI backend, token metrics, AI cost control, convert API to MCP, import OpenAPI to gateway.

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Use this Skill: https://skilld.dev/gh/microsoft/skills/azure-aigateway

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referencessdkazure-ai-contentsafety-py.md

≈341 tokens on demand. Your agent reads this file only when SKILL.md points to it.

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

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

Source: SKILL.md on GitHub

Third-party checks

2 warnings15d4 checks · Risk SAFE
  • Gen Agent Trust Hub15d

    This skill provides a comprehensive and secure framework for configuring Azure API Management as an AI Gateway. It emphasizes security best practices, such as using managed identities and implementing content safety policies to protect AI models and tools. No security issues were detected.

  • Socket15d

    No alerts

  • Snyk15d

    Risk: MEDIUM · 1 issue

  • Runlayer7mo

    5/5 files flagged

Provenance

Signed by skilld at b3c238e. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub 19 hours ago.

Activeupdated 2 months ago

Capability

metadata
{
  "author": "Microsoft",
  "version": "3.2.1"
}
compatibility
Requires Azure CLI (az) for configuration and testing

Topics

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