●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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Concurrency

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Gemini API² Production² Rate Limiting¹ Bulk Processing¹ Architecture¹ Function Calling¹ Parallel Function Calling¹ Agent Architecture¹ Python¹

◈ Gemini API/2026-05-31Advanced

Bulk Processing Without the 429s: Adaptive Concurrency for the Gemini API

Pushing tens of thousands of requests through the Gemini API with a fixed concurrency almost always produces 429s and dropped items. Here is an AIMD design that auto-tunes concurrency from the 429 feedback, with a bounded worker pool, a dead-letter queue, and resumable checkpoints.

◈ Gemini API/2026-04-23Advanced

Parallel Function Calling in Gemini API: Production Patterns, Pitfalls, and Monitoring

A production guide to Parallel Function Calling in the Gemini API: DAG tool design, partial failure handling, rate limits, and monitoring — with working code.