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TypeScript SDK and examples for managing Azure AI Projects: agents, connections, deployments, datasets, indexes, and evaluations.
This skill documents and packages a TypeScript SDK workflow for Azure AI Foundry projects. It shows how to authenticate, create and version agents, manage connections and deployments, upload datasets, create search indexes, and run evaluation flows. The SKILL includes code examples and guidance for integrating with OpenAI-style clients.
Use this skill when building or operating Azure AI Foundry projects from TypeScript — creating agents, wiring connections, managing model deployments, or automating dataset and index operations. It's useful for developer workflows, CI tasks, and prototyping agent-driven systems that rely on Azure AI services.
Appropriate for developer-facing agents with TypeScript/Node.js knowledge and the ability to run SDK calls (Copilot-style agents, Codex, developer assistants). It is a good fit for CI automation and tooling around Azure AI resources.
This skill has not been reviewed by our automated audit pipeline yet.
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