●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

TAG

reproducibility

2 articles

← Back to all tags

Gemini API² provenance¹ production¹ indie developer¹ seed¹ testing¹ debugging¹ Python¹ Node.js¹

◈ Gemini API/2026-06-03Advanced

Recording Provenance for Gemini Output — Designing for Reproducibility and Audit

Before you lose track of which model and prompt produced an output months later: how to stamp provenance metadata onto Gemini generations so quality investigations and model migrations stay reproducible.

◈ 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.