Azure Aigateway

What it does

When your agent uses it

• Tasks that involve Rate limiting
• Tasks that involve AI governance
• Tasks that involve MCP servers

Example prompts

• “/azure-aigateway”

Requirements

• Compatibility (from SKILL.md): Requires Azure CLI (az) for configuration and testing

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

1. 1Authentication - Managed identity to backend
2. 2Semantic Cache Lookup - Check cache before calling AI
3. 3Token Limits - Cost control
4. 4Content Safety - Filter harmful content
5. 5Backend Selection - Load balancing
6. 6Metrics - Token usage tracking

What it can do on your machine

Read from SKILL.md and the folder at commit fcf2f3b. It shows what the files ask for, not the result of running them.

• Tool permissions

  Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

  From allowed-tools in the SKILL.md frontmatter.

• Runs code

  Shell commands in SKILL.md call:

  • az
  • curl

  From the folder's file list and the shell code blocks in SKILL.md.

• Network

  Links to these hosts (documentation or services it may open):

  • learn.microsoft.com
  • github.com

  From URLs in SKILL.md, links to its own repository left out.

• Credentials

  Names no API keys, tokens, secrets or passwords.

  From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

• Compatibility

  Requires Azure CLI (az) for configuration and testing

  From compatibility in the SKILL.md frontmatter.

Context cost

Azure Aigateway loads about 1.3k tokens when it runs, and up to ~10k if it reads all its reference files. Until then it costs about 103 tokens; SKILL.md has 258 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it

~103

When it runs · the whole SKILL.md, loaded when a task matches

~1.3k

With references · SKILL.md plus every file in references/, read only if the agent opens them

~10k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from microsoft/GitHub-Copilot-for-Azure at commit fcf2f3b, republished under its MIT licence (© microsoft). 258 words, ~1,261 tokens.

name

azure-aigateway

description

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.

compatibility

Requires Azure CLI (az) for configuration and testing

license

MIT

metadata.author

Microsoft

metadata.version

0.0.0-placeholder

# 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>

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}'

# 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>

© microsoft, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 9 other files (references) in plugins/azure-skills/skills/azure-aigateway of microsoft/GitHub-Copilot-for-Azure.

• SKILL.md
• references/auth-best-practices.md
• references/patterns.md
• references/policies.md
• references/sdk/azure-ai-contentsafety-py.md
• references/sdk/azure-ai-contentsafety-ts.md
• references/sdk/azure-mgmt-apimanagement-dotnet.md
• references/sdk/azure-mgmt-apimanagement-py.md
• references/troubleshooting.md
• version.json

Open the folder on GitHubat commit fcf2f3b

Used in 4 other repositories

We found 9 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in microsoft/GitHub-Copilot-for-Azure, which our catalogue first saw on October 7, 2026.

• microsoft/azure-skillsskills/azure-aigateway.github/plugins/azure-skills/skills/azure-aigateway
• microsoft/skills.github/plugins/azure-skills/skills/azure-aigateway
• aiskillstore/marketplaceskills/microsoft/azure-aigateway
• majiayu000/claude-skill-registryskills/api/azure-aigatewayskills/api/azure-aigateway-microsoft-skills+3 more