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 cheaplyOMNIFLASH — Gemini Omni Flash is in public preview, a natively multimodal model that lets enterprises and developers build custom, dynamic video workflowsAGENTS — Managed Agents expand with background: true for async server-side runs and polling, remote MCP server integration, and refreshing credentials across interactionsMEMORY — The Memory Bank IngestEvents API is generally available, decoupling event ingestion from memory generation so you can stream content continuouslyTHROUGHPUT — Provisioned Throughput now lets you submit up to seven pending orders for the same model and regionDEPRECATE — Image generation models shut down on August 17, and the Grok 4.1 family on the Gemini Enterprise Agent Platform on August 20NANOLITE — Nano Banana 2 Lite is here: Google's fastest and most cost-efficient Gemini Image model, made for running lightweight image generation cheaplyOMNIFLASH — Gemini Omni Flash is in public preview, a natively multimodal model that lets enterprises and developers build custom, dynamic video workflowsAGENTS — Managed Agents expand with background: true for async server-side runs and polling, remote MCP server integration, and refreshing credentials across interactionsMEMORY — The Memory Bank IngestEvents API is generally available, decoupling event ingestion from memory generation so you can stream content continuouslyTHROUGHPUT — Provisioned Throughput now lets you submit up to seven pending orders for the same model and regionDEPRECATE — 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 Advanced/2026-07-12Advanced

A minimal evolutionary search loop with Gemini: propose, evaluate, select — prompted by AlphaEvolve's GA

With AlphaEvolve reaching GA, I built the smallest possible evolutionary search loop on the Gemini API: generate candidates, score them with a fitness function, and select the best. Sandboxed evaluation, diversity, and budget control — from real solo-dev use.

Gemini API/2026-07-11Intermediate

When Gemini's Context Cache Quietly Expires Mid-Run: A TTL Guard for Pipelines That Pause

When a nightly batch or a retry backoff pauses your pipeline, Gemini's explicit context cache can expire on the wall clock while nothing errors out, sending later calls back to full-token billing. Here is a small lease guard that decides whether to re-arm or run uncached based on cost.

Gemini Advanced/2026-07-10Advanced

The Day We Went From 30 Categories to 34 — Reclassifying 1,180 Assets Instead of 8,142

Adding categories to a taxonomy does not require reclassifying everything. Here is how embeddings and confidence margins narrowed a backfill from 8,142 assets to 1,180, with the numbers.

Gemini Advanced/2026-07-10Advanced

Images Made With a Retiring Model Can Never Be Made Again — Tracking Regenerability in a Ledger

When Gemini's image generation models shut down on August 17, the assets you made with them can no longer be reproduced the same way. Here is the ledger design and code I use to decide, before the deadline, which assets are regenerable and which must be frozen.

Gemini Dev/2026-07-09Advanced

Closing the Failures That Never Throw: Normalizing Gemini API Responses into a Discriminated Union

An HTTP 200 with an empty body will never reach your catch block. Here is how I normalize finishReason and blockReason into a discriminated union, and let a never check turn missed cases into compile errors.

Gemini API/2026-07-09Intermediate

Google Sheets API × Gemini API: A Python Data Pipeline — No Apps Script Required

Learn how to build a fully Python-based pipeline that reads data from Google Sheets, processes it with Gemini API, and writes results back — without touching Apps Script. Covers service account auth, structured output, and rate limit handling.

Workspace/2026-07-08Advanced

Your Apps Script Gemini Automation Fails Every Month-End — Budgeting Against the UrlFetch Daily Quota

Apps Script automations that call Gemini stall on the UrlFetch daily call quota — a separate ceiling from the 6-minute limit and trigger counts. Here is a daily budget governor with backlog carry-over that keeps the job running on busy days, with working code and a verified simulation.

Gemini Advanced/2026-07-08Advanced

When Your Knowledge Base Shifts Mid-Run: Pinning File Search to an Execution Epoch for Consistent Agent Grounding

When a File Search store is updated while a Managed Agent is running, a single execution can mix old and new grounding. Borrowing MVCC ideas, pinning an execution epoch keeps one agent run's evidence consistent. Here is the design and implementation.

Gemini API/2026-07-08Intermediate

When My Paid Gemini Chat Bill Came in at Double the Estimate — Field Notes on Per-Request Token Accounting to Plug the Cost Leaks

From a real overrun where my paid Gemini chat SaaS bill nearly doubled the estimate, here is how I logged token usage per request, traced where cost was leaking, and plugged three specific gaps. Recording usage_metadata and reconciling it against the invoice is the starting point.

Gemini Advanced/2026-07-08Advanced

One File Search Store for Many Apps: Splitting Retrieval With customMetadata and Chunk Config

Put several apps' FAQs in a single Gemini File Search store and metadataFilter can silently return empty grounding, or answers get split across chunk boundaries. Here is the customMetadata design, the AIP-160 filter-syntax trap, and measured chunkingConfig tuning.

Gemini API/2026-07-06Advanced

When Context Caching Didn't Lower My Gemini Bill — Field Notes on Measuring the Real Hit Rate

When Context Caching is enabled but the Gemini API bill barely drops, this field note measures the real hit rate from usage_metadata, separates TTL churn from fragmentation, and walks through a staged recovery.

Gemini API/2026-07-05Intermediate

Designing Batch Image Costs with Nano Banana 2 Lite: Decide by Measuring

How to fold the fastest, cheapest image model, Nano Banana 2 Lite, into high-volume generation: measuring per-image cost, a two-tier setup with a quality model, and retry handling grounded in real numbers.