azure-aigateway Skill
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, tok Published by microsoft in azure-skills.
What is azure-aigateway Skill?
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, tok Published by microsoft in azure-skills. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Testing
- Deployment
- Testing use cases
- Deployment use cases
Technical details
- Install or run with Copy skill directory
When to use azure-aigateway Skill
- Use it for testing.
- Use it for deployment.
Built with
Editorial notes
Source
- Creator: microsoft
- Repository: microsoft/azure-skills
- Skill file: .github/plugins/azure-skills/skills/azure-aigateway/SKILL.md
What it does
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, tok
Skill instructions
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
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Frequently asked questions
What is azure-aigateway?
azure-aigateway is a open-source AI agent skill with Copy skill directory. Configure Azure API Management as an AI Gateway for AI models, MCP tools, and agents.
Who is azure-aigateway best for?
azure-aigateway is best for reusing agent instructions, scripts, and references, testing workflows, deployment workflows.
How do I install azure-aigateway?
Install or run azure-aigateway using Copy skill directory. Check azure-aigateway for the latest setup command.
Is azure-aigateway actively maintained?
azure-aigateway may need a closer maintenance check before production use.
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