Large Language Models (LLMs) are transforming how we build applications. From generating creative content to automating complex tasks, their capabilities are rapidly expanding. However, accessing and integrating these powerful AI models often presents a significant challenge. Each LLM provider has its own API, documentation, and implementation quirks, leading to fragmented development, vendor lock-in, and unnecessary complexity.
Imagine a world where you don't need to learn a new API every time you want to leverage a different LLM. A world where switching models to optimize for performance or cost is as simple as changing a line of code. That world is becoming a reality with llm.do, the unified gateway for Large Language Models.
llm.do is designed to simplify access and integration across diverse AI models with a single, elegant API. It acts as a universal translator, abstracting away the complexities of disparate LLM APIs and providing developers with a consistent, easy-to-use interface.
Think of it as your central hub for all things LLM. Instead of building custom integrations for OpenAI, Anthropic, Google, or various open-source models, you integrate once with llm.do. This dramatically reduces development time and technical debt, allowing you to focus on building innovative AI-powered applications, not managing API integrations.
The benefits of using a unified LLM gateway like llm.do are numerous:
Getting started with llm.do is straightforward. Using our intuitive SDK, you can integrate popular LLMs into your project with minimal code:
import { llm } from 'llm.do'
import { generateText } from 'ai'
const { text } = await generateText({
model: llm('x-ai/grok-3-beta'), // Easily switch models here!
prompt: 'Write a blog post about the future of work post-AGI',
})
console.log(text)
This example demonstrates the core principle: specifying the model you want to use is handled elegantly through the llm() function, making it incredibly simple to swap models or even dynamically select them based on criteria.
We understand you might have questions about how llm.do works and how it can benefit your projects. Here are some common ones:
What is llm.do?
llm.do provides a single, unified API and SDK that allows developers to access and integrate various Large Language Models (LLMs) from different providers. This simplifies the development process by abstracting away the complexities of disparate APIs.
What are the benefits of using llm.do?
By using llm.do, you avoid vendor lock-in, streamline your code, and gain the flexibility to switch between or combine LLMs as needed, optimizing for performance, cost, or specific capabilities. It significantly reduces development time and technical debt.
Which LLMs does llm.do support?
llm.do plans to support a wide range of leading LLMs including OpenAI's GPT series, Anthropic's Claude, Google's Gemini, and open-source models like Llama, Mistral, and more. Our goal is to be model-agnostic.
Can I easily switch between different LLMs with llm.do?
Yes, llm.do emphasizes ease of switching. Our unified API design ensures that migrating from one LLM to another or integrating multiple models into a single application is straightforward, often requiring only a simple change in the model identifier.
Is llm.do free to use?
llm.do offers a free tier for development and testing, with scalable pricing plans based on usage for production applications. Our pricing is designed to be competitive and transparent, offering cost efficiencies by allowing you to choose the best LLM for your specific needs.
The future of building with LLMs should be about harnessing their power, not wrestling with integration challenges. llm.do is building the unified gateway that makes this vision a reality. By providing a single, elegant interface, we empower developers to focus on building groundbreaking AI applications, experiment with different models effortlessly, and stay ahead in the rapidly evolving world of generative AI.
Ready to simplify your LLM workflow? Explore llm.do and unlock the full potential of Large Language Models with a single, unified API.