◉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/2026-06-22Advanced

Compressing Gemini API Chat History with Rolling Summaries — Designing Chatbots That Survive Hundreds of Turns

When a Gemini chatbot grows long enough, your bills balloon and one day a request hits the token ceiling. The rolling-summary pattern keeps long chats stable.

◈ Gemini API/2026-05-28Intermediate

Why per-turn generationConfig is ignored in Gemini API chat sessions

If you pass a different generationConfig (temperature, max_output_tokens, response_schema) to each send_message in a google-genai chat session and the behavior never changes, this walkthrough shows what is actually happening, why the SDK is designed that way, and three workarounds we use in production for review-summary and reply-draft pipelines.

◈ Gemini API/2026-05-01Intermediate

Why 'contents must alternate between user and model' Won't Go Away in the Gemini API — and How to Fix It

A focused guide to the Gemini API's 'contents must alternate between user and model' error — what really triggers it, why role names from OpenAI break it, and how to fix Function Calling and system_instruction pitfalls with copy-pasteable code.

◈ Gemini API/2026-04-19Intermediate

Gemini API Multi-Turn Chat Breaking: Chat History Management Pitfalls and Fixes

When building multi-turn conversations with the Gemini API, longer chats cause token overflow, slowdowns, and context loss. Learn how to use ChatSession correctly with practical code examples for managing chat history.