azure-aigateway MCP-Server | PlugMCP

SKILL.md

Installieren

Die Skill-Datei bleibt im Repository des Herausgebers.

Fügen Sie den kopierten Befehl in ein Terminal ein. Er installiert diese SKILL.md in dem jeweiligen Agenten.

shTerminal

1npx skills add microsoft/azure-skills --skill azure-aigateway -a cursor -y

Fügen Sie den kopierten Befehl in ein Terminal ein. Er installiert diese SKILL.md in dem jeweiligen Agenten.

shTerminal

1npx skills add microsoft/azure-skills --skill azure-aigateway -a claude-code -y

Fügen Sie den kopierten Befehl in ein Terminal ein. Er installiert diese SKILL.md in dem jeweiligen Agenten.

shTerminal

1npx skills add microsoft/azure-skills --skill azure-aigateway -a codex -y

Fügen Sie den kopierten Befehl in ein Terminal ein. Er installiert diese SKILL.md in dem jeweiligen Agenten.

shTerminal

1npx skills add microsoft/azure-skills --skill azure-aigateway -a grok -y

Senden Sie die kopierte Nachricht in einem Grok Bot-Chat. Der Bot ruft diese SKILL.md von GitHub ab und fügt sie den Skills hinzu, die alle Ihre Bots gemeinsam nutzen.

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1Install this skill: https://github.com/microsoft/azure-skills/tree/HEAD/skills/azure-aigateway

Skill herunterladen skills/azure-aigateway/SKILL.md auf GitHub

skills/azure-aigateway/SKILL.mdMarkdown · UTF-8

Skill-Details

Agent-Skill

Datei: skills/azure-aigateway/SKILL.md
Herausgeber: microsoft
Hosting: Herausgeber
Aktualisiert: 2026-11-13

Sterne: 688k
Agenten: 3
Kategorien: 2

Vom Herausgeber

SKILL.md

name

Azure AI Gateway

Configure Azure API Management (APIM) as an AI Gateway for governing AI models, MCP tools, and agents.

To deploy APIM, use the azure-prepare skill. See APIM deployment guide.

When to Use This Skill

Category	Triggers
Model Governance	"semantic caching", "token limits", "load balance AI", "track token usage"
Tool Governance	"rate limit MCP", "protect my tools", "configure my tool", "convert API to MCP"
Agent Governance	"content safety", "jailbreak detection", "filter harmful content"
Configuration	"add Azure OpenAI backend", "configure my model", "add AI Foundry model"
Testing	"test AI gateway", "call OpenAI through gateway"

Quick Reference

Policy	Purpose	Details
`azure-openai-token-limit`	Cost control	Model Policies
`azure-openai-semantic-cache-lookup/store`	60-80% cost savings	Model Policies
`azure-openai-emit-token-metric`	Observability	Model Policies
`llm-content-safety`	Safety & compliance	Agent Policies
`rate-limit-by-key`	MCP/tool protection	Tool Policies

Get Gateway Details

# Get gateway URL
az apim show --name <apim-name> --resource-group <rg> --query "gatewayUrl" -o tsv

# List backends (AI models)
az apim backend list --service-name <apim-name> --resource-group <rg> \
  --query "[].{id:name, url:url}" -o table

# Get subscription key
az apim subscription keys list \
  --service-name <apim-name> --resource-group <rg> --subscription-id <sub-id>

Test AI Endpoint

GATEWAY_URL=$(az apim show --name <apim-name> --resource-group <rg> --query "gatewayUrl" -o tsv)

curl -X POST "${GATEWAY_URL}/openai/deployments/<deployment>/chat/completions?api-version=2024-02-01" \
  -H "Content-Type: application/json" \
  -H "Ocp-Apim-Subscription-Key: <key>" \
  -d '{"messages": [{"role": "user", "content": "Hello"}], "max_tokens": 100}'

Common Tasks

Add AI Backend

See references/patterns.md for full steps.

# Discover AI resources
az cognitiveservices account list --query "[?kind=='OpenAI']" -o table

# Create backend
az apim backend create --service-name <apim> --resource-group <rg> \
  --backend-id openai-backend --protocol http --url "https://<aoai>.openai.azure.com/openai"

# Grant access (managed identity)
az role assignment create --assignee <apim-principal-id> \
  --role "Cognitive Services User" --scope <aoai-resource-id>

Apply AI Governance Policy

Recommended policy order in <inbound>:

Authentication - Managed identity to backend
Semantic Cache Lookup - Check cache before calling AI
Token Limits - Cost control
Content Safety - Filter harmful content
Backend Selection - Load balancing
Metrics - Token usage tracking

See references/policies.md for complete example.

Troubleshooting

Issue	Solution
Token limit 429	Increase `tokens-per-minute` or add load balancing
No cache hits	Lower `score-threshold` to 0.7
Content false positives	Increase category thresholds (5-6)
Backend auth 401	Grant APIM "Cognitive Services User" role

See references/troubleshooting.md for details.

References

Detailed Policies - Full policy examples
Configuration Patterns - Step-by-step patterns
Troubleshooting - Common issues
AI-Gateway Samples
GenAI Gateway Docs

SDK Quick References

Content Safety: Python | TypeScript
API Management: Python | .NET

1---2name: azure-aigateway3description: Configure Azure API Management as an AI Gateway for AI models, MCP tools, and agents. WHEN: semantic caching…4---56# skills/azure-aigateway/SKILL.md

SKILL.mdAgent-Skill

Transport: Datei
Status: Gelistet

azure-aigateway

Installieren

Skill-Details

SKILL.md

Azure AI Gateway

When to Use This Skill

Quick Reference

Get Gateway Details

Test AI Endpoint

Common Tasks

Add AI Backend

Apply AI Governance Policy

Troubleshooting

References

SDK Quick References

Über azure-aigateway

Fragen

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