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Five Open-Source AI Agent Patterns for Production Deployment on Azure

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Demos of AI agents often end at a simple prompt-and-response loop, while production systems also require current information, controlled permissions, cost-aware routing, dependable scheduling, and audit logging. An article on DEV Community highlights five open-source projects that add these capabilities using Azure AI Foundry, Azure Container Apps, and Azure Key Vault. Popularity figures cited are from a November 12, 2026 snapshot and indicate momentum rather than quality or security. The first project, Pinky, lets agents propose phone actions while requiring human approval for sensitive steps, with the author recommending narrow tools and nonce-bound approvals. The second, the Kagi Search API, can be wrapped in an MCP server to ground agents in fresh web evidence with credentials stored in Key Vault.

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