Skill UI

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.

Detects error propagation and chain failures in agent workflows. Identifies vulnerabilities like single-point breakdowns, unbounded retries, and unsafe data propagation to ensure system stability and safety during multi-step operations.

Runs Qwen Code headlessly for repository analysis and coding tasks. Delegates work to the AI agent, parses JSON output, and handles authentication errors. Use for automated code review, bug analysis, and refactoring without interactive UI.

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.