The world of Large Language Models (LLMs) is exploding. New models with unique capabilities are emerging constantly from different providers. As developers building AI applications and agents, this presents both incredible opportunities and significant challenges. How do you integrate with and manage access to models from OpenAI, Anthropic, Google, Stability AI, xAI, and others simultaneously?
This is where llm.do comes in.
Traditionally, integrating with multiple LLMs means dealing with disparate APIs, different authentication methods, varying request/response formats, and maintaining separate codebases for each provider. This complexity quickly increases development time, introduces potential points of failure, and makes it difficult to experiment with or switch between models.
Imagine you're building an AI agent that needs to perform diverse tasks: creative writing, technical coding, factual question answering, and image description. Different LLMs might excel at different tasks. To build a truly powerful agent, you'll likely want to leverage the strengths of several models. But the integration headache can be a significant barrier.
llm.do is designed to solve this problem. It acts as a unified gateway, providing a single, simple API to access a wide range of LLMs from any provider. Think of it as a universal adapter for the world of generative AI.
Instead of writing custom code for each model provider, you interact with llm.do. llm.do then routes your requests to the appropriate model and provider, abstracting away the underlying complexities.
Here's how llm.do streamlines your AI development:
Integrating with llm.do is straightforward. You can use their simple SDK or interact directly via their REST API. Their platform handles the connections and complexities behind the scenes.
Here's a quick look at how simple it can be using their example (in TypeScript):
Notice how you simply specify the desired model name ('x-ai/grok-3-beta') within the llm() helper provided by llm.do, and the gateway handles the rest. This makes it Trivial to swap out 'x-ai/grok-3-beta' for 'openai/gpt-4-turbo' or 'anthropic/claude-3-opus' with minimal code changes.
For developers building sophisticated AI agents, llm.do is a game-changer. It allows your agents to:
Ready to simplify your access to multiple LLMs and empower your AI agents? Getting started with llm.do is easy:
Their documentation provides detailed guides and examples to help you get up and running quickly.
The future of AI development lies in leveraging the diverse capabilities of various Large Language Models. llm.do provides the essential infrastructure to do just that, offering a unified gateway that simplifies integration, streamlines workflows, and empowers you to build more robust and intelligent AI applications and agents. Stop wrestling with multiple APIs and start building the future with llm.do.
Simplify your AI workflow. Access models from any provider through a single, simple API with llm.do.
import { llm } from 'llm.do'
import { generateText } from 'ai' // Example using the Vercel AI SDK
const { text } = await generateText({
model: llm('x-ai/grok-3-beta'), // Access 'x-ai/grok-3-beta' via llm.do
prompt: 'Write a blog post about the future of work post-AGI',
})
console.log(text)