Azure AI Gateway β Govern Your AI Models
Configure Azure API Management as an AI gateway β semantic caching, token limits, content safety, load balancing, MCP rate limiting
- What
- Configure Azure API Management as an AI gateway β semantic caching, token limits, content safety, load balancing, MCP rate limiting
- Cost
- Free
- Needs
- a Muse account with skill installation enabled
- Install
- Copy the installer prompt below into your Muse β your agent does the rest.
π³ Paid Azure subscription required β Curated by Skill Harbor β Microsoft's guide to turning Azure API Management (APIM) into an AI gateway in front of your models, MCP tools and agents: add Azure OpenAI or AI Foundry backends, then layer governance policies in the right order β authentication, semantic cache lookup (60β80% cost savings on repeated prompts), token limits, content safety and jailbreak detection, load balancing across backends, and token-usage metrics β plus MCP/tool rate limiting and converting APIs to MCP. By @microsoft, listed here with credit to its creator. Honest caveats: APIM itself bills by the hour even when idle, so pick the tier deliberately; semantic-cache hit rates depend on tuning the score threshold. Skill Harbor never reviews the code, review it yourself before use.
Version:
Install
Prerequisites: a Muse account with skill installation enabled Install "Azure AI Gateway β Govern Your AI Models" for me. Configure Azure API Management as an AI gateway β semantic caching, token limits, content safety, load balancing, MCP rate limiting Repository: https://github.com/microsoft/azure-skills/blob/main/.github/plugins/azure-skills/skills/azure-aigateway/SKILL.md 1. Fetch the SKILL.md file (and any helper files) from the repository path into a temporary folder and summarize what it does in one or two sentences. 2. Safety check: review the SKILL.md and scripts for anything suspicious (unexpected network calls, shell commands, credential harvesting). This repo should contain zero secrets in code, credentials only via the secure vault. Verify that holds here; STOP on any red flag and tell me. 3. Install it as a skill: copy SKILL.md and its helper files into the agent's skills directory, in a folder named "microsoft-azure-aigateway". 4. Verify with no network calls: frontmatter valid, files in place. 5. Report what was installed, where, and what I still need to do myself (e.g. save my API key in the vault). GitHub is optional: if I have a GitHub account or the gh CLI, you may use it; otherwise public access is fine. Never require it unless it's in the prerequisites above. Rules: don't touch anything outside the temp folder and the install target. If anything looks off, stop and ask me.
Questions
How do I install a build?
Every product page includes a copy-paste install prompt. Paste it into your Muse and it sets the build up for you β no manual configuration.
Where does my money go?
Straight to the seller. Skill Harbor never processes payments: checkout happens on the sellerβs own page, usually Stripe.
What does the β next to a creatorβs name mean?
It means we confirmed the identity of the person behind the listing. It says nothing about the code itself β always check a build before installing it.