All Articles
Track Gemini API Costs in Production with usageMetadata — A Per-Request Logging Pattern That Reconciles With Your Bill
A production pattern for capturing Gemini API's usageMetadata per request to attribute spend by endpoint, user, and model — hardened for the 3.5 Flash GA era where the default model can shift under you. Covers pricing keyed on resp.model_version and a nightly audit that flags model drift and unknown models before the invoice does.
Gemini API Grounding × Structured Output Guide — Turn Web Search Results into Typed JSON Data
Combine Gemini API Grounding with Google Search and Structured Output to extract real-time web information as type-safe JSON data. Practical implementation patterns included.
Catching Gemini Model Deprecations in CI Before They Bite
Build a small guard that scans your codebase for hardcoded Gemini model IDs, cross-checks shutdown deadlines, and turns CI red before a model quietly disappears.
Building a Type-Safe AI Backend with Gemini API, tRPC v11, and Prisma — Real-Time Streaming, Auth Middleware, and Production Deployment
Learn how to integrate Gemini API streaming into tRPC v11 subscriptions, persist conversations type-safely with Prisma, and handle auth middleware, rate limiting, and common production pitfalls — all with working code examples.
Catch Near-Duplicate Images Before You Publish with gemini-embedding-2
This is about removing near-duplicates, not image search. Use gemini-embedding-2 multimodal embeddings to vectorize images, cluster them, and build a pre-publish gate — with working code and threshold guidance.
Generate Japanese and English in One Structured Call to Stop Term Drift
Generating Japanese and English versions separately makes terminology drift article by article. Pair both languages in one Gemini 3.5 Flash structured-output call, pin a glossary, and detect drift mechanically — with measured results.
When Your pgvector Search Quietly Gets Worse — Field Notes on Protecting Recall with Gemini Embeddings
A semantic search built on Gemini Embeddings and PostgreSQL pgvector tends to lose precision over months without throwing a single error. These are field notes on the real causes — model pinning, operator/index mismatch, HNSW reindexing, and recall collapse under filters — with working code.
Your Managed Agents Bill Has a Second Axis: Drawing a Budget Boundary Around Sandbox Runtime
Managed Agents in public preview bills for tokens and for how long its Google-hosted sandbox stays alive. A single hung run quietly drains your budget on that second axis. Here is a working Python design for wall-clock caps, idle teardown, and a concurrency ceiling.
Building location-aware AI with Gemini's Google Maps grounding: pricing and the source-display rules tutorials skip
How to ship a 'recommend something nearby' feature with Gemini API's Google Maps grounding, with the $25/1K cost design and the source-display obligations laid out for indie developers.
Switching Types Per Input Kind in Gemini Structured Output — Notes on anyOf Discriminated Unions
Classifying mixed input kinds through one endpoint leaves a flat schema full of nulls. Here is how I switch types per kind with an anyOf discriminated union and parse it safely with Pydantic and Zod.
Stop a Batch Before It Overspends — A Budget Gate Built on countTokens That Survives a Default-Model Swap
Nightly batches overspend because you only learn the cost after billing. Starting from countTokens, this guide builds a budget gate that folds in thinking tokens and keeps your estimate intact even when the default model changes underneath you.
When Revenue and Cost Don't Line Up in a Gemini-Powered Niche SaaS — Field Notes on Metering Usage and Reconciling with Stripe
In a niche SaaS built on the Gemini API, monthly revenue is visible but per-user usage cost is not, so your margin stays a mystery until month-end. These notes cover a metering layer that converts tokens to money in real time, monthly reconciliation against Stripe, early detection of unprofitable users, and idempotent webhooks.