◉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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◈ Gemini API/2026-05-18Advanced

Gemini API asyncio Patterns for Production: How I Cut Processing Time by 80% in My Indie App Backend

A hands-on report on integrating Gemini API asyncio into a production backend. Covers Semaphore-based rate limiting, exponential backoff, and partial failure handling from real experience building a 50M+ download wallpaper app.

◈ Gemini API/2026-05-15Intermediate

Making Gemini API 12x Faster with asyncio: Lessons from Multilingual App Store Generation

A real-world account of parallelizing Gemini API calls with asyncio during the iOS update of Beautiful HD Wallpapers. Learn how asyncio.gather() with rate limit handling cut multilingual generation from 13 minutes to 65 seconds.

◈ Gemini API/2026-04-09Advanced

Gemini 2.5 Pro & Python Async Mastery: Building High-Throughput Production API Systems

Master asyncio, parallel batch processing, and rate limit management to unlock Gemini 2.5 Pro's full potential. From async clients to streaming, checkpointing, and production observability — all with working code.