A Simple Way to Add AI to Your App Without Locking Yourself to One Provider

Description and use

<p>Adding an LLM to an application is easy.</p> <p>The annoying part usually comes six months later.</p> <p>Maybe you started with OpenAI, then another model becomes better for one particular task. Or you want to use a cheaper model for background jobs and a stronger model for user-facing requests.</p> <p>If model-specific code is scattered throughout the application, changing providers becomes unnecessarily painful.</p> <p>A pattern I like is keeping the AI layer very small.</p> <h2> Keep the rest of your app model-agnostic </h2> <p>For a TypeScript project, an open-source option for this is

Problem

<p>Adding an LLM to an application is easy.</p> <p>The annoying part usually comes six months later.</p> <p>Maybe you started with OpenAI, then another model becomes better for one particular task. Or you want to use a cheaper model for background jobs and a stronger model for user-facing requests.</p> <p>If model-specific code is scattered throughout the application, changing providers becomes unnecessarily painful.</p> <p>A pattern I like is keeping the AI layer very small.</p> <h2> Keep the rest of your app model-agnostic </h2> <p>For a TypeScript project, an open-source option for this is

Outcome

<p>Adding an LLM to an application is easy.</p> <p>The annoying part usually comes six months later.</p> <p>Maybe you started with OpenAI, then another model becomes better for one particular task. Or you want to use a cheaper model for background jobs and a stronger model for user-facing requests.</p> <p>If model-specific code is scattered throughout the application, changing providers becomes unnecessarily painful.</p> <p>A pattern I like is keeping the AI layer very small.</p> <h2> Keep the rest of your app model-agnostic </h2> <p>For a TypeScript project, an open-source option for this is

Evidence

A Simple Way to Add AI to Your App Without Locking Yourself to One Provider

Source