API / SDK
Practical guides to the Gemini API and SDKs — quickstarts, Function Calling, structured output, streaming, cost optimization, and troubleshooting.
Fixing Gemini API 'Model Not Found' Errors: A Complete 2026 Guide
Getting a 'model not found' or INVALID_ARGUMENT error in the Gemini API? This guide explains every cause and fix, including correct model names for 2026 and how to use generativelanguage.googleapis.com properly.
Gemini API Rate Limits and 429 Handling: Operational Notes from an Indie Mobile App
Operational notes on handling Gemini API rate limits and 429 errors in a production indie mobile app: exponential backoff, adaptive control, multi-key pooling, and Cloud Monitoring integration, all rebuilt after a real incident.
Gemini 3.1 Pro REST API Getting Started Guide — generativelanguage.googleapis.com in Practice
A complete guide to calling the Gemini 3.1 Pro generativelanguage.googleapis.com REST API using curl, Python, and JavaScript — covering authentication, streaming, multi-turn chat, and common errors.
Building a Production Content Moderation System with Gemini API: A
A complete guide to building a production-grade content moderation system with the Gemini API. Covers custom safety criteria, multimodal inspection of text and images, async batch processing, Human-in-the-Loop workflows, and cost optimization.
How to Fix Gemini API JSON and Structured Output Errors
Troubleshoot Gemini API JSON Mode and Structured Output errors including malformed JSON, schema violations, and truncated responses with step-by-step solutions and code examples.
Gemini API Practical Troubleshooting Guide — Master 2.5 Pro Rate Limits, Timeouts & Errors
Systematically troubleshoot Gemini 2.5 Pro API errors: 429 rate limits, 504 timeouts, 400 validation errors, and Safety Filter blocks. Learn production-ready solutions with retry strategies, streaming optimization, and cost-saving techniques.
Google AI Studio × Gemini API Production Guide — Reduce Input Costs by 90%
Master Gemini API and Google AI Studio. Complete production guide: Gemini 3/3.1 Pro, Context Caching, Batch Mode, MCP, Vertex AI integration, and cost optimization.
Gemini 2.5 Pro API: Complete Production Troubleshooting & Optimization Guide
Master Gemini 2.5 Pro API for production. Complete error code reference, model configuration, streaming patterns, cost optimization, and load balancing strategies for stable, scalable deployments at generativelanguage.googleapis.com.
Vertex AI + Gemini Authentication Error Fix: Service Account & ADC Troubleshooting Guide
Struggling with Vertex AI Gemini authentication errors? This guide covers the most common causes—service account misconfiguration and ADC setup issues—with step-by-step solutions to get you unblocked fast.
Getting Started with gemini-2.5-pro-latest: Google AI Studio & API Quick Start Guide
Learn how to build with gemini-2.5-pro-latest from scratch. This guide covers API key setup, Python integration, streaming, multi-turn chat, system instructions, and production-ready error handling.
Gemini 2.5 Pro Latest API: The Complete Developer Guide for Advanced Usage
Everything developers need to master the gemini-2.5-pro-latest API — from model selection and streaming to Function Calling, multimodal inputs, and cost optimization.
Classify Gemini API Errors by Status — Handling 429, SAFETY, and Token Limits in Production
Sort Gemini API failures along two axes — HTTP status and finish_reason — so you know instantly whether to wait or to fix. Covers the three distinct 429 limits, model-deprecation fallbacks, and how the exception hierarchy changes after moving to the google-genai SDK.
Gemini 2.5 Pro & Python Async Mastery: Building High-Throughput Production API Systems
Master asyncio, parallel batch processing, and rate limit management to unlock Gemini 2.5 Pro's full potential. From async clients to streaming, checkpointing, and production observability — all with working code.
Gemini API × Cloud Storage: Building a Production Pipeline for 100MB File Processing with Private DB Integration
Learn how to build production-grade file processing pipelines using Gemini API's Cloud Storage integration and 100MB upload support, with GCS buckets, pre-signed URLs, and cost optimization strategies.
Gemini API 503 Service Unavailable Error: Causes, Fix, and Retry Implementation
Learn why Gemini API returns 503 Service Unavailable errors and how to fix them with exponential backoff retry logic. Includes ready-to-use Python and JavaScript code examples.
Mastering Gemini 2.5 Thinking Budget — Pro Techniques to Balance Cost and Accuracy
Controlling Gemini 2.5's Thinking Budget in production: task-based settings, a dynamic budget allocation system, and monitoring strategies that cut API costs by up to 70%.
Gemini API × PostgreSQL Complete Implementation Guide — Building an AI-Driven Database Optimization System for Production
A complete production-ready guide to automating PostgreSQL optimization with Gemini 2.5 Pro — covering Text-to-SQL generation, EXPLAIN plan analysis, index recommendations, and schema reviews using Python and FastAPI.
Gemini API SDK Version Mismatch & Install Errors: How to Fix Them
A step-by-step troubleshooting guide for Gemini API SDK install failures and version mismatch errors in Python and Node.js projects.
Gemini 2.0 Multimodal and Live API: The
A deep dive into Gemini 2.0's two flagship capabilities: multimodal processing and the Live API. Covers image, video, and audio handling alongside real-time streaming conversation — everything you need to build rich, interactive applications with the Gemini API.
Gemini API Semantic Router: Implementation Notes for Splitting Flash and Pro Smartly
Implementation notes for building a production-grade semantic router that automatically dispatches Gemini queries between Flash and Pro. Includes Python and TypeScript working code, a two-stage design pattern, and seven implementation insights from running it inside an indie wallpaper app.
Gemini API × Slack Bot in Production — Bolt SDK, Thread Context, and Cloud Run Deployment
Build a production-grade AI Slack Bot with Gemini API and Slack Bolt SDK (Python): thread context management, multimodal support, rate limit handling, and Cloud Run deployment.
Gemini Function Calling Isn't Firing: Five Causes
Fix Gemini API Function Calling issues fast. This guide covers the most common causes — bad schemas, wrong model, parse errors, and tool selection problems — with step-by-step solutions and working code examples.
Using Gemini API with Rust: A Basics — Text Generation, Streaming & Multimodal Input
Learn how to call the Gemini API from Rust using the reqwest crate. This hands-on guide walks you through text generation, SSE streaming responses, multimodal image input, and multi-turn conversations with complete code examples.
Building Real-Time AI Event Streaming Pipelines with Gemini API and Apache Kafka: Production
A comprehensive guide to designing and implementing production-grade real-time AI pipelines using Apache Kafka and Gemini API. Covers Consumer Group design, backpressure control, circuit breakers, and cost optimization.
Automating App Store Reviews with Gemini API and App Store Connect API: Implementation Notes from Running 50M-Download Apps
Implementation notes for combining Gemini API and App Store Connect API to handle review sentiment analysis, reply drafting, competitor monitoring, and weekly ASO reports in Python. Includes lessons learned from running indie apps with over 50 million cumulative downloads.
Building Voice Agents with Gemini Live API: A Basics
Learn how to build real-time voice agents using Gemini Live API. From setup to implementation examples, this guide covers everything you need to get started.
Building Event-Driven Async AI Pipelines with Gemini API — Pub/Sub, Webhooks, and Queue Integration for Production
A deep dive into designing event-driven asynchronous AI pipelines using Gemini API with Google Cloud Pub/Sub, webhooks, and Redis queues. Includes the design pitfalls and how to estimate cost and throughput.
to Gemini API Function Calling: Tool Integration and Practical Usage
A practical deep dive into using Gemini API's Function Calling to give AI real tools and external API access. From design patterns to production implementation, covered systematically.
Building a Production RAG System with Gemini Embedding API and Pinecone
A step-by-step guide to building a production-ready RAG system using Gemini Embedding API and Pinecone. Covers index design, query optimization, chunking strategies, and cost management with practical Python code.
Gemini API × SwiftUI in Production: Streaming, Multimodal, Error Handling, and App Store Submission
A production-grade guide to integrating the Gemini API into SwiftUI apps at production quality. Covers streaming responses, multimodal input, error handling, test strategies, and App Store submission requirements.
How I Cut My Gemini API Bill from ¥52,000 to ¥8,400 a Month — Caching, Model Routing, and the Batch API
A working record of cutting my Gemini API bill from ¥52,000 to ¥8,400 a month. Covers implicit vs. explicit caching, Flash/Pro routing rules, migrating to the Batch API, and a usage_metadata logging setup — with the production code I actually run.
Gemini TTS API: Generate Expressive Voice with Style Controls
A comprehensive guide to using the Gemini 2.5 Flash and Pro Text-to-Speech API. Learn how to specify voice styles, handle multi-speaker audio, and control tone and emotion through prompts — with practical code examples.
Automate AI Workflows with Gemini API and n8n
Learn how to connect Gemini API with n8n to automate AI-powered workflows. From basic HTTP Request nodes to advanced AI Agent setups — with practical code examples throughout.
Gemini API with Zapier & Make.com — A No-Code Automation Guide
Learn how to call the Gemini API from Zapier and Make.com without writing a single line of code. This beginner-friendly guide covers email summarization, sentiment analysis, translation automation, and more.
Gemini API × Spring Boot Enterprise Production Guide: Spring AI, Multi-Tenancy, Security & Observability
A complete guide to running Gemini API in production with Spring Boot. Covers Spring AI framework integration, multi-tenant architecture, API key management, async processing, observability with Micrometer/OpenTelemetry, and enterprise testing strategies.
Using Gemini API with Spring Boot: A Java Developer's Guide to Building AI Chat Applications
A step-by-step guide to integrating Gemini API with Spring Boot. Learn how to set up a production-ready REST endpoint that delivers Gemini AI responses — no Python required.
Growing a Customer Support Chatbot with Gemini API: An Implementation Notebook
An implementation notebook for building a production-ready customer support chatbot with Gemini API, covering three-layer system prompts, Function Calling for FAQ lookup, escalation design, and seven pitfalls not covered in the official documentation, drawn from indie developer experience.
Gemini API Pricing & Billing [2026]: From Free Tier to Token Costs Explained
A clear breakdown of Gemini API pricing in 2026 — free tier limits, token-based billing, model cost comparisons, usage estimation, and spend cap setup to keep your costs under control.
Mastering Gemini 2.5 Pro System Instructions — Production-Grade AI Assistant Design Patterns
A deep-dive practical guide to mastering Gemini 2.5 Pro system instructions. Learn persona design, output control, safety guardrails, A/B testing, and version management with full code examples for production environments.
Gemini API × E-Commerce Automation: AI Product Content Generation Guide
Automate your e-commerce operations with Gemini API: generate SEO-optimized product descriptions, analyze customer reviews, create multilingual catalogs, and build intelligent product content pipelines