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Developers: How-Tos, SDKs & Routing Guides — ShareAI Blog

How-tos, code samples, and SDK tips for building on ShareAI. Learn routing policies, failover, pricing controls, and best practices to ship fast with one API across many providers.

OpenCode AI Gateway: Connect Multiple LLMs Through One API

Use ShareAI as an OpenCode AI gateway so one API key can reach multiple LLMs with simpler switching, routing, and failover. …

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Codex AI Gateway: Smarter Routing for Coding Workflows

Codex AI gateway guide: where multi-model routing fits, where it does not, and how to use ShareAI in OpenAI-compatible coding workflows. …

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Best LLM Routers in 2026: Compare the Practical Trade-Offs

Best LLM routers in 2026 compared by routing depth, fallback, deployment model, and where ShareAI fits best. …

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Reduce AI Development Costs After GitHub Copilot Pricing Changes

GitHub Copilot’s June 1, 2026 shift to usage-based billing makes AI coding spend a real engineering cost. This guide explains how to reduce AI development costs …

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Lilac AI Inference: Warm Serverless Models and Routing Trade-Offs

Lilac AI inference shows why warm serverless endpoints, token pricing, and OpenAI-compatible APIs matter when teams route model traffic. …

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Reduce LLM API Costs With Smart Routing: A Practical Guide

Learn how smart routing, prompt caching, provider fallbacks, and batch processing can reduce LLM API costs without flattening quality. …

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How Can You Design the Perfect AI Backend Architecture for Your SaaS?

Designing the perfect AI backend architecture for your SaaS is about more than “calling a model.” It’s about building a robust, multi-model platform that can scale, …

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How Should SaaS Companies Monetize Their New AI Features?

For most founders, adding AI isn’t the hard part anymore—pricing it is. Unlike traditional features, every AI interaction carries real marginal cost tied to model APIs. …

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Why Should You Use an LLM Gateway?

Teams are shipping AI features across multiple model providers. Each API brings its own SDKs, parameters, rate limits, pricing, and reliability quirks. That complexity slows you …

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How Can I Get Access to Multiple AI Models in One Place?

Accessing multiple AI models in one place helps teams ship faster, reduce spend, and stay resilient when providers change pricing or uptime. Below, you’ll learn how …

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