Gemini API Implicit Caching Not Working — Troubleshooting Guide by Root Cause
Troubleshoot Gemini API implicit caching issues: cache not hitting, unexpectedly high costs, or low cache hit rates. Covers token thresholds, prompt structure, model version consistency, TTL expiry, and multimodal caching with code examples.
Classifying 8,000 App Reviews Overnight with Gemini Batch API — and Moving Polling to Webhooks
Implementation notes on clearing ~8,000 backlogged app reviews from six iOS/Android apps with the Gemini Batch API in a single night — now extended with the June 2026 event-driven Webhooks that replace the morning polling step. Real cost and runtime numbers, composite-key design, hung-job triage, and deprecation discipline, with working code.
Keep Your Flash-to-Pro Routing Threshold Honest with Shadow Re-evaluation
A Flash-generates, Pro-on-low-confidence router starts drifting the moment you hand-pick its threshold. This is a working build of a loop that samples your kept-Flash outputs, scores them against Pro, and recalibrates the threshold from a quality budget.
Controlling Image Tokens with the Gemini API media_resolution Setting — Tuning Batch Image Classification by Measurement
media_resolution, introduced in the Gemini 3 line, switches how many tokens an image input consumes across three levels. Through real batch-classification measurements, this guide shows how to balance cost and accuracy by assigning the right tier per task.
Rebuilding a Three-Layer RAG Cache After Migrating to Gemini 3.5 Flash
When Gemini 2.0 Flash was retired, I rebuilt my RAG caching stack around 3.5 Flash. Here are the working implementations for response, semantic, and embedding caches, measured hit rates from production, and how self-managed caching divides the work with the API's Context Caching.
Mixing Gemini 2.5 Flash and Flash-Lite for App Store Localization
An operations log from running the same wallpaper-app store copy through both Gemini 2.5 Flash and Flash-Lite. Real cost gaps, where the lighter model breaks down, and how I now route by text type and locale.
Layering Gemini API Response Caches in Three Tiers — How I Split Memory, Redis, and Context Cache
Notes from running a three-tier cache (in-memory, Redis, Gemini Context Cache) in front of the Gemini API for six weeks across a wallpaper app — actual hit rates, billing impact, and the invalidation traps that ate me alive.
Designing a Semantic Cache for the Gemini API — Embedding-based Answer Caching That Actually Pays for Itself
A practical design for a semantic cache that sits in front of the Gemini API. Combines text-embedding-004, cosine similarity thresholds, versioned cache keys, and TTL design to balance hit rate and answer quality, with Python and Cloudflare Vectorize code that runs in production.
Cutting Gemini Embedding's output_dimensionality from 768 to 256 reduced my vector DB storage to one-third
An indie developer's record of trimming gemini-embedding-001 from 768 to 256 dimensions for an 80,000-row wallpaper recommendation index, with measured numbers on storage, cost, recall trade-offs, an int8 quantization implementation, a CI benchmark gate, and the five-step rollout plan I now use in production.
Cutting Gemini API Costs by 80%: Context Caching and Implicit Caching
A hands-on guide to reducing Gemini API costs by 80% using Context Caching and Implicit Caching. Includes decision frameworks, working code examples, and a troubleshooting checklist for when caching stops working in production.
Leveraging Gemini API's Cost Advantage for SaaS — How to Undercut Competitors by 50% and Still Profit
A deep analysis of Gemini API's cost structure with practical strategies to build a SaaS that's 50% cheaper than competitors while maintaining healthy margins. Includes P&L simulation and production code.
to Production Architecture for Gemini API 2026— Design Patterns for Building Scalable, Reliable AI Systems
A comprehensive guide to production-grade design patterns for Gemini API. Covers resilient API clients, multi-layer caching, multi-tenant design, observability, and cost control with complete code examples.