AI 原生开放教材

外观

Microsoft Agent Skills技能与配置库·英文原文 ↗原件 ↓仓库 ↗

foundry-cloud-ts ​

purpose ​

Using Azure AI Foundry (cloud) and the Azure AI model catalog for serverless model inference. Covers Model-as-a-Service (MaaS) deployments, the Azure AI Inference SDK, GitHub Models, and connecting to Foundry-hosted models from TypeScript.

rules ​

  1. Azure AI Foundry provides serverless model endpoints (Model-as-a-Service). No GPU provisioning needed — deploy a model from the catalog and get an HTTPS endpoint with pay-per-token billing. Available models include Phi-4, Llama, Mistral, Cohere, and more. learn.microsoft.com/azure/ai-studio/how-to/deploy-models-serverless
  2. MaaS endpoints are OpenAI-compatible. The deployed endpoint exposes /v1/chat/completions with the standard OpenAI request/response format. Use the openai npm package with a custom baseURL and the endpoint's API key. learn.microsoft.com/azure/ai-studio/reference/reference-model-inference-chat-completions
  3. Alternatively, use @azure-rest/ai-inference for the Azure AI Inference SDK. This TypeScript SDK provides a typed client for Azure AI model endpoints. npm install @azure-rest/ai-inference. It supports chat completions, embeddings, and image generation. learn.microsoft.com/azure/ai-studio/reference/reference-model-inference-api
  4. Authentication uses either API key or Entra ID token. MaaS endpoints accept an API key in the Authorization: Bearer <key> header. For managed identity, use @azure/identity to get a token. learn.microsoft.com/azure/ai-studio/how-to/deploy-models-serverless
  5. GitHub Models provides free-tier access to the same model catalog. Use https://models.inference.ai.azure.com as the base URL with a GitHub personal access token as the API key. Great for prototyping before deploying to your own Azure subscription. docs.github.com/en/github-models
  6. Deploy models via the Azure AI Foundry portal or CLI. In the portal: AI Foundry → Model catalog → Deploy. Via CLI: az cognitiveservices account deployment create for Azure OpenAI models, or use the AI Foundry portal for MaaS models. learn.microsoft.com/azure/ai-studio/how-to/deploy-models-serverless