◉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 Dev/2026-07-02Intermediate

After the One-Click Deploy — Hardening an AI Studio Gemini App on Cloud Run for Real Production Use

AI Studio's one-click deploy to Cloud Run gives you a working URL in minutes — but not a production service. A practical checklist for API key storage, authentication, cost ceilings, and observability, with copy-paste gcloud commands.

◈ Gemini API/2026-05-20Intermediate

Gemini API Streaming Works Locally but Buffers in Production — Fixing Cloud Run, Vercel, and Cloudflare

Streaming responses flow token-by-token in local dev, then arrive as one big blob in production. A walkthrough of the five most common causes — Cloud Run timeouts, Vercel runtime mismatch, Cloudflare Workers proxying, server-side text() pitfalls, and client-side decoding — with the fixes I use across Dolice Labs.

⟐ Gemini Dev/2026-04-08Advanced

Terraform × Gemini API: Complete Production Infrastructure Automation Guide — IaC Design Patterns for AI Applications on Google Cloud

Automate your entire Gemini API production infrastructure with Terraform. Covers IAM, Cloud Run, Vertex AI, Secret Manager, and CI/CD in one comprehensive IaC design guide.

⟐ Gemini Dev/2026-03-27Advanced

Gemini 3.1 Pro × Cloud Run: Building Production Serverless AI APIs

Deploy Gemini 3.1 Pro on Cloud Run with SSE streaming, auto-scaling, cold start optimization, and production monitoring — the definitive guide to building serverless AI APIs.

◈ Gemini API/2026-03-23Advanced

Running a Gemini + LINE Bot in Production — Reply Token Expiry, Duplicate Replies, and Cold-Start Latency

The first walls you hit putting Gemini behind a LINE Bot are the 30-second reply-token expiry, duplicate replies from webhook redelivery, and Cloud Run cold starts. This guide solves them with loading animations, push-message fallback, idempotency, and Firestore-backed history — with working code and measured numbers.

⬡ Gemini Advanced/2026-03-17Advanced

Production-Grade Voice AI Agent with Gemini Live API & Google ADK [2026]

Build and deploy a production-grade voice AI agent by combining Gemini Live API with Google ADK, Function Calling, WebSocket management, and Cloud Run. Covers architecture design, connection stability, parallel tool execution, and cost optimization.