AI Integration Patterns

概要

Streamlines the process of building robust AI-powered features by providing standardized patterns for interacting with large language models like Claude and GPT-4. It offers comprehensive guidance on complex integration challenges such as managing context windows through chunking, implementing efficient streaming interfaces, and optimizing costs via token tracking and caching. Whether building conversational assistants or semantic search tools, this skill ensures AI implementations are reliable, performant, and architected with production-grade error handling and rate-limiting strategies.

主な機能

• Robust error handling with exponential backoff and rate limiting logic
• Context window management via truncation and document chunking strategies
• Advanced prompt engineering patterns including XML structuring and Chain-of-Thought
• Production-grade streaming response implementations for real-time interfaces
• Cost optimization through token usage tracking and response caching
• 3 GitHub stars

ユースケース

• Building conversational AI and chatbots with persistent history management
• Optimizing production AI application performance and API expenditure
• Developing document analysis and semantic search features using embeddings