Production-Ready Function Calling with Gemini 2.5 Pro API — Realistic Patterns for Failures, Timeouts, and Hallucinations
Gemini 2.5 Pro's Function Calling is powerful, but it tends to land in 'works, but does odd things sometimes' territory in production. Here are the design patterns I arrived at running search, reservation, and notification agents.
Defending Gemini API Responses with Schema Validation — Never Let Unexpected Formats Reach Production
Gemini's structured output is convenient, but in production the day always comes when an unexpected format slips through. This piece walks through layered Zod/Pydantic validation, repair prompts, and graceful degradation — the defense lines I run on my own apps.
Architecting a Multi-Tenant SaaS on Gemini API — Tenant Isolation, Usage Metering, and Runaway Cost Defense in Production
A field-tested blueprint for serving Gemini API to multiple tenants on a single backend — covering tenant isolation choices, per-tenant rate limiting in Redis, request-level usage metering for billing, and runaway-cost defenses.
Building Self-Critiquing Agents with Gemini API: A Production-Ready Guide to Reflection and Critic-Refiner Patterns
A production-grade walkthrough of Reflection and Critic-Refiner patterns with Gemini 3 Pro and 3.5 Flash-Lite. Covers implementation, cost guards, over-correction defenses, and monitoring signals from real deployments.
Safely Migrating Gemini Model Versions with Shadow Traffic — A Production Pattern for Measuring Output Drift
Stop treating Gemini model migrations as a coin flip. This guide walks through a production-ready shadow traffic architecture — duplicate real inputs to the new model, quantify output drift, and cut over progressively. Includes Python and Cloud Tasks code you can ship today.
Designing Production-Grade Safety Controls for the Gemini API: A Layered Moderation Architecture That Minimizes False Positives Without Letting Abuse Through
Relying on the Gemini API's Safety Settings alone leads to legitimate questions getting false-blocked or carefully crafted malicious prompts slipping through. This guide shows a four-layer moderation design that stands up in production.
Gemini API × Langfuse — A Production Playbook for LLM Observability
A practical, production-grade guide to wiring Gemini API into Langfuse — tracing architecture, cost attribution, LLM-as-Judge on live traffic, PII masking, and sampling — with runnable code.
Defending Gemini API Apps from Prompt Injection: A Multi-Layer Production Architecture
A four-layer prompt injection defense for Gemini apps: sanitized input, hardened prompts, structured output, and a moderator LLM — with runnable Python.
Resilient Gemini API Services in Production — Circuit Breakers, Bulkheads, and Fallback Models That Keep Your App Alive
A production-ready resilience playbook for Gemini API: circuit breakers, bulkheads, jittered retries, and model fallback chains — with working Python so your service stays up even when the upstream doesn't.
Async AI Job Queues with Gemini API and Cloud Tasks — Production Patterns for Timeouts, Retries, and Rate Limits
Migrate synchronous Cloud Run + Gemini calls to a Cloud Tasks async job queue. Covers retries, DLQ, idempotent workers, and cost modeling with working code.
Rendering Gemini's Thought Summaries in a Next.js UI — A Production Pattern for Explainable AI
A production walkthrough for surfacing Gemini 2.5 / 3 thought summaries in a Next.js UI. Covers the SDK configuration, Server-Sent Events, a React collapsible component, observability, and the UX judgement calls you face when you decide how much of the AI's reasoning to show.
Gemini API Caching in Production — Operational Notes from an Indie Mobile Developer
Field notes on running Gemini API's Context Caching and Implicit Caching together inside indie mobile apps. Includes working Python code, six months of measured costs from AdMob-funded apps, and seven non-obvious operational pitfalls.