◉GEMINI LABJP
●ARGON — gemini-4-argon is generally available as of 10/13, aimed at complex coding, agents, math and science●DEEP RES — deep-research-pro-preview-12-2025 shuts down 10/23, 6 days left. Move to deep-research-preview-04-2026●NANO — gemini-nano-banana-2.1 is GA (10/06). gemini-3.1-flash-image is deprecated with no shutdown date yet●MCP — One write-up cut an 85,000-token tool result to 310 tokens by wrapping it in an ADK FunctionTool●FLASH — gemini-3.7-flash and 3.5-flash now route automatically to newer Flash models (10/08)●NEW — Stop Re-Reading Every Crash Report: Gre…●ARGON — gemini-4-argon is generally available as of 10/13, aimed at complex coding, agents, math and science●DEEP RES — deep-research-pro-preview-12-2025 shuts down 10/23, 6 days left. Move to deep-research-preview-04-2026●NANO — gemini-nano-banana-2.1 is GA (10/06). gemini-3.1-flash-image is deprecated with no shutdown date yet●MCP — One write-up cut an 85,000-token tool result to 310 tokens by wrapping it in an ADK FunctionTool●FLASH — gemini-3.7-flash and 3.5-flash now route automatically to newer Flash models (10/08)●NEW — Stop Re-Reading Every Crash Report: Gre…
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◈ Gemini API/2026-04-11Advanced

Gemini API Rate Limits and 429 Handling: Operational Notes from an Indie Mobile App

Operational notes on handling Gemini API rate limits and 429 errors in a production indie mobile app: exponential backoff, adaptive control, multi-key pooling, and Cloud Monitoring integration, all rebuilt after a real incident.

⟐ Gemini Dev/2026-03-29Advanced

Gemini API Production Notes — Quiet Defenses Against 429, 500, and 503 Under Real Traffic

Operational notes from running Gemini API in production on an indie wallpaper app: exponential backoff, jitter, circuit breakers, token buckets, and model cascades — with the pitfalls I actually hit and measured retry success rates.

◈ Gemini API/2026-03-26Advanced

Gemini API AI Gateway Design Patterns — Building a Unified Proxy for Rate Limiting, Failover, and Cost Tracking

An advanced guide to designing and implementing an AI gateway (proxy server) for production Gemini API deployments. Learn how to unify rate limiting, automatic failover, token cost tracking, and multi-model routing in a single architecture layer.

◈ Gemini API/2026-03-19Advanced

Gemini 2.5 Pro × FastAPI: Building a Production-Ready AI Backend

Learn how to build a production-ready AI backend by combining Gemini 2.5 Pro with FastAPI, covering streaming, rate limiting, Function Calling, cost optimization, and Docker deployment.