Skill UI

Autonomous agents are AI systems capable of independent goal decomposition, action planning, tool execution, and self-correction without constant human guidance. This skill focuses on ensuring reliability in agent loops like ReAct and Plan-Execute, managing context usage, and handling compounding error rates. It emphasizes building constrained, domain-specific agents for production reliability rather than unrestricted autonomy.

Low-level Java SDK for creating and managing persistent Azure AI agents with threads, messages, runs, and tools. Covers installation, authentication, core workflow, best practices, and error handling.

This comprehensive guide covers all aspects of integrating the Google Gemini API into your applications using Python or Node.js. It details basic text generation, advanced multimodal inputs (text, image, audio), streaming responses, function calling/tool use, multi-turn chat implementation, and production best practices like model selection and robust error handling.