The world of Large Language Models (LLMs) is evolving at breakneck speed. New models, improved capabilities, and diverse providers are constantly emerging. For developers and businesses building AI-powered applications, keeping up can feel like a full-time job. Integrating with multiple APIs from different providers often leads to complex codebases, increased maintenance overhead, and difficulty in experimenting with different models.
What if there was a simpler way? Imagine a single gateway that provides access to a wide array of large language models, regardless of their underlying provider. This is where the power of a unified LLM API comes into play.
Traditionally, if you wanted to leverage models from OpenAI for one task, Anthropic for another, and perhaps a specialized model from Google for something else, you'd need to:
This fragmented approach creates friction in the development process, makes it harder to swap models for performance testing or cost optimization, and can lead to vendor lock-in.
llm.do addresses these challenges head-on by providing a unified gateway for large language models. Think of it as a single point of access to the diverse landscape of LLMs. With llm.do, you can:
At its core, llm.do acts as an abstraction layer. It normalizes the differences between various LLM APIs, presenting a consistent interface to the developer. This means you can interact with a model from OpenAI, Anthropic, Google, or any other supported provider using the same set of commands and data formats.
Let's look at how this simplifies your development process. Instead of managing provider-specific code, you interact with the llm.do gateway directly. Here's a taste of how straightforward it can be using a popular AI SDK:
import { llm } from 'llm.do'
import { generateText } from 'ai'
const { text } = await generateText({
model: llm('x-ai/grok-3-beta'), // Accessing Grok-3-Beta via the unified gateway
prompt: 'Write a blog post about the future of work post-AGI',
})
console.log(text)
Switching to a different model is as simple as changing the model identifier string. No need to rewrite your integration code!
This simplified approach unlocks significant benefits for experimentation and flexibility:
llm.do is more than just an API; it's the foundation for a more streamlined AI development process. By abstracting away the complexities of individual model providers, it allows you to focus on building your application logic and delivering value.
Ready to simplify your AI workflow and unlock the power of a unified LLM gateway? Getting started with llm.do is straightforward:
Stop wrestling with multiple APIs and start experimenting with AI with the flexibility and efficiency of a single gateway. The future of AI development is unified, and llm.do is your key to accessing it.
What is llm.do?
llm.do is a unified gateway that allows you to access various large language models (LLMs) from different providers through a single, simple API. This simplifies integration and allows you to switch or compare models easily.
Which large language models are supported?
llm.do aims to support a wide range of popular LLMs from major providers like OpenAI, Anthropic, Google, Stability AI, xAI, and more. The specific models available are constantly being expanded.
Can I use llm.do with my existing AI development framework?
Yes, llm.do is designed to be framework agnostic. You can use it with popular AI SDKs and libraries like Vercel AI SDK, LangChain, or integrate directly via REST API calls.
What are the benefits of using a unified LLM gateway?
Benefits include simplified integration with one API for multiple models, ease of switching between models for testing and optimization, reduced vendor lock-in, and a streamlined development workflow.
How do I get started with llm.do?
Getting started is simple. Sign up on the llm.do platform, obtain your API key, and integrate our simple SDK or API into your application. Our documentation provides detailed guides and code examples.