◉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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production3Gemini API2gemini2Temperature1Prompt Engineering1Translation1Code Generation1Slack1Slack Bot1Python1Cloud Run1Bolt SDK1
◈ Gemini API/2026-04-26Intermediate

Gemini API Temperature Best Practices by Task — Translation, Summarization, Code, Chat, and More

The `temperature` parameter is one of the highest-leverage knobs in the Gemini API, yet most implementations ship with the default. This guide walks through the value I actually use for each task type — translation, summarization, code generation, chat, classification — and explains why.

◈ Gemini API/2026-04-07Advanced

Gemini API × Slack Bot in Production — Bolt SDK, Thread Context, and Cloud Run Deployment

Build a production-grade AI Slack Bot with Gemini API and Slack Bolt SDK (Python): thread context management, multimodal support, rate limit handling, and Cloud Run deployment.

◈ Gemini API/2026-04-01Advanced

Growing a Customer Support Chatbot with Gemini API: An Implementation Notebook

An implementation notebook for building a production-ready customer support chatbot with Gemini API, covering three-layer system prompts, Function Calling for FAQ lookup, escalation design, and seven pitfalls not covered in the official documentation, drawn from indie developer experience.

⬡ Gemini Advanced/2026-03-28Advanced

Long-Term Memory and Session Persistence with Gemini API — Design Patterns for Production Chatbots

Master the design patterns for long-term memory management, session persistence, and token budget control essential for building production-grade chatbots with Gemini API.