●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 API² generationConfig¹ determinism¹ troubleshooting¹ reproducibility¹ testing¹ debugging¹ Python¹ Node.js¹

◈ Gemini API/2026-05-19Intermediate

Why a Fixed seed in the Gemini API Still Drifts, and How I Handle It

Even when you pin generationConfig.seed in the Gemini API, the same prompt can return slightly different outputs. Here is what causes the drift and the layered approach I rely on as an indie developer running a wallpaper-classification pipeline.

◈ Gemini API/2026-04-27Advanced

Making Gemini API Output Reproducible with the seed Parameter — Practical Patterns for Tests and Debugging

A practical guide to the Gemini API seed parameter, with measured match-rate data and a triage flow. Covers where seed works and where it quietly fails, how to fix a wrapper that drops seed, and diagnosing variance with logprobs.