Large Language Models (LLMs) are rapidly transforming how we build applications and businesses. From automating customer support to generating creative content, the possibilities are endless. However, navigating the sprawling landscape of LLMs – each with its own API, pricing structure, and unique strengths – can be a significant challenge. This is especially true when you're trying to optimize your AI spend while maintaining flexibility and performance.
Enter llm.do, a unified gateway designed to simplify your LLM integrations and empower smarter model selection.
Imagine building an application that needs to leverage a powerful language model. You might start with OpenAI's GPT series. But what if Anthropic's Claude offers better performance for a specific task? Or perhaps an open-source model like Llama provides a more cost-effective solution for large-scale operations?
Here's where the pain points emerge:
This is precisely the problem llm.do solves.
llm.do acts as your unified gateway for large language models (LLMs), abstracting away the complexities of disparate APIs behind a single, elegant interface. It's designed to make your development process smoother, your applications more robust, and your AI spend more efficient.
The core promise of llm.do is elegantly simple:
This simple code snippet demonstrates the power. You're not tied to a specific provider's SDK. You're simply telling llm.do which model you want to access, and it handles the rest.
The advantages of using llm.do extend far beyond mere API simplification:
The vision for llm.do is to be comprehensive and future-proof. While specific implementations evolve, the goal is to support a wide range of leading LLMs, including:
The commitment is to be model-agnostic, ensuring you always have access to the best tools for your needs.
Yes, llm.do plans to offer a free tier for development and testing, making it easy for developers to get started and experiment. For production applications, scalable pricing plans based on usage will be available, designed to be competitive and transparent. The underlying philosophy is to help you achieve cost efficiencies by enabling you to select the most suitable (and often most affordable) LLM for each specific task.
As LLMs continue to evolve at a blistering pace, the need for a unified, flexible, and cost-effective approach to integration becomes paramount. llm.do offers precisely this, allowing developers and businesses to unlock the full potential of large language models without getting bogged down in vendor-specific complexities.
By abstracting away the underlying LLM jungle, llm.do lets you focus on what truly matters: building revolutionary AI-powered products and services, smarter, faster, and more affordably. Get ready to streamline your AI workflows and confidently optimize your AI spend with llm.do.
import { llm } from 'llm.do'
import { generateText } from 'ai'
const { text } = await generateText({
model: llm('x-ai/grok-3-beta'), // Easily specify the model you want to use
prompt: 'Write a blog post about the future of work post-AGI',
})
console.log(text)