◉GEMINI LABJP
●PRO35 — Gemini 3.5 Pro is reported to target July 17, though the date, context window, and pricing all remain unconfirmed by Google●REBUILD — The model is said to be a ground-up rebuild after the 2.5 Pro architecture was scrapped over structural failures in recursive tool-calling and SVG generation●FLASH35 — Gemini 3.5 Flash is the newest broadly available release, tuned for faster, lower-cost coding, agents, multimodal, and long-document work●SAATHI — ATL Saathi, built on Gemini 3.5 Flash, begins piloting in 100 Indian schools as a 24/7 planning and training assistant for Tinkering Lab educators●SEA — In Southeast Asia, nearly 70% of prompts arrive in native languages — Vietnam 89%, Thailand 87%, Indonesia 84% — and 3 in 4 requests come from mobile●SHEETS — From July 15, AI Expanded Access licenses raise the usage limits for Fill with Gemini and the AI function in Sheets●PRO35 — Gemini 3.5 Pro is reported to target July 17, though the date, context window, and pricing all remain unconfirmed by Google●REBUILD — The model is said to be a ground-up rebuild after the 2.5 Pro architecture was scrapped over structural failures in recursive tool-calling and SVG generation●FLASH35 — Gemini 3.5 Flash is the newest broadly available release, tuned for faster, lower-cost coding, agents, multimodal, and long-document work●SAATHI — ATL Saathi, built on Gemini 3.5 Flash, begins piloting in 100 Indian schools as a 24/7 planning and training assistant for Tinkering Lab educators●SEA — In Southeast Asia, nearly 70% of prompts arrive in native languages — Vietnam 89%, Thailand 87%, Indonesia 84% — and 3 in 4 requests come from mobile●SHEETS — From July 15, AI Expanded Access licenses raise the usage limits for Fill with Gemini and the AI function in Sheets
TAG

Logging

3 articles
← Back to all tags
Related:
Gemini API2monitoring2Data Retention1Operations1Firestore1gemini-api1observability1production1cost-optimization1python1datasets1cost management1
⟐ Gemini Dev/2026-07-16Advanced

I stopped storing every generation log — three retention tiers and a prompt fingerprint that keeps traceability

I was storing every Gemini API request and response body for debugging. Here is how I moved to three retention tiers plus a prompt fingerprint, and kept the ability to diagnose issues without keeping the text.

◈ Gemini API/2026-03-30Advanced

Gemini API Observability in Production — Logging, Monitoring, and Cost Tracking Patterns

Learn how to build a robust observability stack for production Gemini API deployments. Covers structured logging, token usage tracking, latency monitoring, and cost optimization dashboards with full implementation code.

◈ Gemini API/2026-03-12Intermediate

Reading Gemini API Logs by What Survived — Field Notes on Logging & Datasets

Use the Gemini API logging and datasets tool from a results-first angle — not token counts or latency, but whether each output actually survived to publication. Includes tying log review to spend caps and API key hygiene.