◉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

Gemini API on Google Cloud: Diagnosing Production Errors Layer by Layer

Systematically diagnose Gemini API errors in Google Cloud production environments. Covers IAM permissions, Vertex AI vs AI Studio, VPC Service Controls, quota management, service accounts, and multi-region failover with full code examples.

⬡ Gemini Advanced/2026-05-01Advanced

Vertex AI Agent Engine × Gemini 2.5 Pro — Production Deployment for Managed Agents

Deploy ADK-based agents powered by Gemini 2.5 Pro on Vertex AI Agent Engine. Covers the trade-offs vs Cloud Run, sessions, tool calls, tracing, and a realistic cost model.

⟐ Gemini Dev/2026-03-21Intermediate

Gemini CLI — Accelerating Development Workflows with Terminal AI

A comprehensive guide to Gemini CLI from installation to practical use. Covers Unix-philosophy piping, comparison with Antigravity IDE, shell script integration, and concrete methods for leveraging AI in the terminal.

⟐ Gemini Dev/2026-03-14Beginner

Vertex AI Agent Builder Getting Started — Build Gemini Agents with No Code

Build Gemini-powered AI agents with Vertex AI Agent Builder. Covers datastore integration, tool definitions, testing, and Cloud Run deployment.

⟐ Gemini Dev/2026-03-14Advanced

Vertex AI Gemini Production Guide— Enterprise-Scale Deployment Implementation

Deploy Gemini at enterprise scale on Vertex AI. Covers service account auth, provisioned throughput, prompt filtering, Cloud Run integration, monitoring, and cost management for production workloads.