Why count_tokens Lies: 5 Reasons Your Gemini API Bill Is Higher Than You Estimated — A Reconciliation Playbook
count_tokens said 1,200 tokens. Cloud Console billed you for 4,800. I made the same mistake building my first indie app on Gemini. This guide walks through the five hidden contributors — thinking, tools, multimodal, history, caching — and how to reconcile them with reproducible code.
Speaker Diarization with Gemini API: Meetings and Podcasts
Use the Gemini API's multimodal audio understanding to label who said what in meeting recordings and podcasts — with a working Python example and prompt design tips.
Production-Grade PII Redaction for the Gemini API — Detection, Masking, and Audit Logging That Actually Pass a Privacy Review
Are you piping raw user text straight into the Gemini API? This guide walks through detection, masking, and audit-log design so you can keep PII out of model traffic and pass GDPR, SOC 2, and customer privacy reviews — with code you can ship today.
Why Gemini Says It Cannot See Your Image — A Practical Diagnosis Guide
If Gemini API replies 'I don't see an image' despite an attached file, the cause is almost always client-side. This guide walks through the four checks — mime_type, payload size, SDK version, and model selection — with copy-pasteable fixes.
Precise Output Control in Gemini API: maxOutputTokens and stopSequences
Combine maxOutputTokens and stopSequences in the Gemini API to shape response length exactly the way you need. Stop responses from being cut off, going over budget, or breaking JSON parsing — with production-tested patterns.
Testing Gemini API with Vitest — Mock Patterns and Function Calling Verification for TypeScript Projects
Practical patterns for testing TypeScript code that calls the Gemini API, using Vitest. Covers SDK mocking, Function Calling verification, and streaming response tests, drawn from a setup I run in personal projects.
Gemini API × Inngest: Building Fault-Tolerant AI Workflows for Production
A practical guide to building durable, fault-tolerant Gemini API workflows with Inngest — covering retries, fan-out/fan-in, human approval, throttling, and dead-letter patterns.
When Gemini API URL Context Returns Nothing: A Diagnostic Walkthrough
If Gemini's URL Context tool stays silent or returns generic answers, the cause is almost always one of three things: tool configuration, URL formatting, or site-side restrictions. Here's how to isolate which.
Fixing 'Thoughts must be present in conversation history' in Gemini API: Thought Signatures in Multi-Turn Tool Calls
If you're hitting 'Thoughts must be present in conversation history when using thinking signature' in Gemini 2.5/3.x with multi-turn function calling, this guide walks through what's actually happening and how to fix it in five minutes — Python SDK, REST, and streaming all covered.
Building a Production-Grade Gemini API Backend with NestJS — DI, Filters, and Guards
A practical pattern for wrapping the Gemini API in a NestJS backend. Covers DI-based service design, SSE streaming, exception filters, guards, multi-model Flash-to-Pro fallback, exponential-backoff retries, and measured latency/token metrics.
Dynamic Few-Shot for Gemini API — A Self-Improving Prompt That Picks Examples by Vector Search
Hand-picked, hard-coded few-shot examples stop scaling once your inputs drift. This guide builds a Gemini Embeddings + vector search pipeline that selects the best 3-5 examples per request and grows them from production feedback, with copy-paste code.
Beyond Embeddings: Production Reranking with Vertex AI Ranking and Gemini-as-Judge
When pure embedding search nails the top-3 but buries the right answer at rank 4, you need a reranker. This guide walks through a production-grade two-stage architecture using Vertex AI Ranking API and Gemini-as-judge — with cost, latency, and evaluation patterns that hold up under load.