Content by pratikpanda (4)

pratikpanda explains how the Agent Skills SDK lets developers give AI agents reliable, context-aware skills using an open format and Python SDK, with integration for Microsoft agent ecosystems.

pratikpanda explores production-level strategies for designing safe, natural language-driven APIs using Azure OpenAI and LangGraph, offering practical patterns for translating user input into robust, deterministic backend workflows.

pratikpanda presents a hands-on guide to building interactive UIs for AI agents using AG-UI and Microsoft Agent Framework. This post explains the motivation, protocol design, architecture, and provides working code for integrating Azure OpenAI with Python FastAPI.

pratikpanda shares how to override the Retry-After response header in Azure API Management's rate-limiting policies, giving developers practical steps to improve client experience and meet custom requirements.