Shipping caching without monitoring is flying blind. This final part covers how to build cache hit rate dashboards, measure time-to-first-token improvements, calculate real cost savings with accuracy, detect cache regression before users notice, and build the business case for continued caching investment.
Tag: Prompt Caching
Multi-Provider AI Gateway in Node.js: Unified Caching, Routing, and Fallback for Claude Sonnet 4.6, GPT-5.4, and Gemini 3.1 Pro
A unified AI gateway abstracts over provider-specific caching implementations, routing logic, and fallback handling. This part builds a production-ready Node.js gateway that handles Claude Sonnet 4.6, GPT-5.4, and Gemini 3.1 Pro transparently, with cross-provider cost tracking and cache hit monitoring.
Prompt Caching with GPT-5.4: Automatic Caching, Tool Search, and C# Production Implementation
GPT-5.4 makes prompt caching automatic with no configuration required. This part covers how OpenAI’s caching works under the hood, how to structure prompts for maximum hit rates, how the new Tool Search feature reduces agent token costs, and a full production C# implementation with cost tracking.
Prompt Caching with Claude Sonnet 4.6: cache_control Breakpoints, TTL Strategies, and Node.js Production Implementation
Claude Sonnet 4.6 gives developers explicit control over prompt caching through cache_control breakpoints. This part covers how to structure your prompts, configure TTL, use multi-breakpoint strategies, and implement a production-ready caching layer in Node.js.
Prompt Caching and Context Engineering in Production: What It Is and Why It Matters in 2026
Prompt caching is one of the most impactful yet underused techniques in enterprise AI today. This first part of the series explains what it is, how it works under the hood, and why it should be a default part of your production AI architecture in 2026.
Azure AI Foundry with Anthropic Claude Part 4: Python Implementation with Azure SDK – Complete Async Guide
Python’s rich ecosystem and async capabilities make it an excellent choice for building AI applications with Claude in Azure AI Foundry. This comprehensive guide demonstrates
Azure AI Foundry with Anthropic Claude Part 3: Building Your First Node.js Application – Complete Implementation Guide
Comprehensive guide to building production-ready Node.js applications with Claude in Azure AI Foundry. Learn environment setup, TypeScript configuration, basic and advanced chat implementations, Entra ID authentication, multi-turn conversations, streaming responses, error handling with exponential backoff, cost optimization through prompt caching, and complete application examples.
Cost Optimization Strategies for Azure AI Foundry Claude Deployments
Azure AI Foundry deployments of Claude can quickly become expensive at scale without proper cost management. Understanding the pricing model, implementing intelligent caching, choosing appropriate
