◉GEMINI LABJP
●NANOLITE — Nano Banana 2 Lite is here: Google's fastest and most cost-efficient Gemini Image model, made for running lightweight image generation cheaply●OMNIFLASH — Gemini Omni Flash is in public preview, a natively multimodal model that lets enterprises and developers build custom, dynamic video workflows●AGENTS — Managed Agents expand with background: true for async server-side runs and polling, remote MCP server integration, and refreshing credentials across interactions●MEMORY — The Memory Bank IngestEvents API is generally available, decoupling event ingestion from memory generation so you can stream content continuously●THROUGHPUT — Provisioned Throughput now lets you submit up to seven pending orders for the same model and region●DEPRECATE — Image generation models shut down on August 17, and the Grok 4.1 family on the Gemini Enterprise Agent Platform on August 20●NANOLITE — Nano Banana 2 Lite is here: Google's fastest and most cost-efficient Gemini Image model, made for running lightweight image generation cheaply●OMNIFLASH — Gemini Omni Flash is in public preview, a natively multimodal model that lets enterprises and developers build custom, dynamic video workflows●AGENTS — Managed Agents expand with background: true for async server-side runs and polling, remote MCP server integration, and refreshing credentials across interactions●MEMORY — The Memory Bank IngestEvents API is generally available, decoupling event ingestion from memory generation so you can stream content continuously●THROUGHPUT — Provisioned Throughput now lets you submit up to seven pending orders for the same model and region●DEPRECATE — Image generation models shut down on August 17, and the Grok 4.1 family on the Gemini Enterprise Agent Platform on August 20
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cost-optimization

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◈ Gemini API/2026-04-13Advanced

Gemini API Multimodal Input Optimization — Production Techniques to Cut Token Costs for Images, PDFs, Video, and Audio

Cut your Gemini API multimodal token costs by up to 70% in production. Practical optimization techniques for images, PDFs, video, and audio with working Python code examples.

◈ Gemini API/2026-04-08Advanced

Mastering Gemini 2.5 Thinking Budget — Pro Techniques to Balance Cost and Accuracy

Controlling Gemini 2.5's Thinking Budget in production: task-based settings, a dynamic budget allocation system, and monitoring strategies that cut API costs by up to 70%.

◈ Gemini API/2026-04-07Advanced

Gemini API Semantic Router: Implementation Notes for Splitting Flash and Pro Smartly

Implementation notes for building a production-grade semantic router that automatically dispatches Gemini queries between Flash and Pro. Includes Python and TypeScript working code, a two-stage design pattern, and seven implementation insights from running it inside an indie wallpaper app.

◈ Gemini API/2026-03-30Advanced

Gemini API Observability in Production — Logging, Monitoring, and Cost Tracking Patterns

Learn how to build a robust observability stack for production Gemini API deployments. Covers structured logging, token usage tracking, latency monitoring, and cost optimization dashboards with full implementation code.

◉ Gemini Basics/2026-03-29Beginner

Gemini 3.1 Flash vs Pro: How to Choose by Speed, Cost, and Accuracy

Compare Gemini 3.1 Flash and Pro across speed, accuracy, and cost, with the actual routing code I use. Includes a June 2026 update on the 3.5 Flash GA release.

◈ Gemini API/2026-03-26Advanced

Gemini API AI Gateway Design Patterns — Building a Unified Proxy for Rate Limiting, Failover, and Cost Tracking

An advanced guide to designing and implementing an AI gateway (proxy server) for production Gemini API deployments. Learn how to unify rate limiting, automatic failover, token cost tracking, and multi-model routing in a single architecture layer.