The world of large language models (LLMs) is evolving at an unprecedented speed. New models are released constantly, each promising improved performance, unique capabilities, or better efficiency. For developers building AI-powered applications, this innovation is exciting but also presents a significant challenge: how do you integrate with a constantly shifting landscape of APIs?
Integrating with multiple LLM providers – OpenAI, Anthropic, Google, xAI, and more – requires building complex, provider-specific code. Switching models or providers means re-architecting parts of your application, a time-consuming and often frustrating process. This is where llm.do steps in, offering a unified gateway for large language models and providing seamless access to any LLM.
Imagine you're building a sophisticated AI agent. One task might require a powerful reasoning model, another a fast and cost-effective one, and a third a specialist model for a particular domain. To leverage the best models from different providers, you'd currently need to:
This fragmentation complicates development, increases technical debt, and makes it difficult to stay agile in the face of rapid AI advancements.
llm.do simplifies this complexity by providing a single, consistent API to access a wide range of foundation models from various providers. Think of it as your central hub for LLM intelligence.
Instead of integrating with 'openai' or 'anthropic', you integrate with 'llm.do'. Within your code, you simply specify which provider and मॉडल you want to use, like 'openai/gpt-4o', 'anthropic/claude-3-opus', or 'x-ai/grok-3-beta'. llm.do handles the underlying communication and translation with the respective provider APIs.
This means you can easily integrate AI into your applications with a single API, reducing development time and enabling greater flexibility.
The unified access provided by llm.do is particularly powerful for building agentic workflows. Agents often need to use different tools and call different models depending on the situation. With llm.do, your agent can seamlessly switch between models from various providers without needing provider-specific code for each call.
Consider an agent that needs to:
Using llm.do, your agent only needs to know the model identifier (e.g., 'anthropic/claude-3-haiku', 'openai/gpt-4o', 'google/gemini-pro'), making the underlying LLM infrastructure interchangeable and robust. This helps power your agentic workflows and services with the world's most advanced AI, regardless of the provider.
Integrating with llm.do is straightforward. You can use our SDKs or interact directly with our unified API endpoint.
import { llm } from 'llm.do'
import { generateText } from 'ai'
const { text } = await generateText({
model: llm('x-ai/grok-3-beta'), // Accessing xAI's Grok model via llm.do
prompt: 'Write a blog post about the future of work post-AGI',
})
console.log(text)
This example demonstrates how easily you can access a specific model (x-ai/grok-3-beta) using the llm('...') helper, powered by llm.do. You just need your llm.do API key for authentication.
With llm.do, you're not just integrating with today's LLMs; you're future-proofing your application for tomorrow's. As new providers and models emerge, llm.do will work to add support, allowing you to tap into the latest innovations with minimal code changes on your end. Ready for the next big LLM? llm.do has you covered.
What is llm.do and how does it work? llm.do simplifies accessing multiple large language models (LLMs) through a single, consistent API. Instead of integrating with individual providers, you connect to llm.do and gain access to a wide range of models, making it easy to switch or use the best model for your specific task.
Which LLMs and providers are supported by llm.do? llm.do allows you to access models from various providers like OpenAI, Anthropic, Google, xAI, etc. You simply specify the desired model using a standardized format (e.g., 'openai/gpt-4o', 'anthropic/claude-3-opus', 'x-ai/grok-3-beta') in your API calls.
What are the key benefits of using llm.do? Using llm.do standardizes your interaction with LLMs, reduces integration effort when switching models or providers, provides a single point of access for management and monitoring, and helps power robust agentic workflows that may require different models for different steps.
How do I integrate llm.do into my application? Integrating llm.do is straightforward. You use our SDKs (like the example shown with the ai library) or directly interact with our unified API endpoint. You'll need an API key from llm.do to authenticate your requests.
Does llm.do integrate with the .do Agentic Workflow Platform? llm.do is designed to be fully compatible with the .do Agentic Workflow Platform, allowing you to easily incorporate powerful LLM capabilities into your Business-as-Code services and workflows. It acts as the intelligence layer for your agents.
Ready to simplify your LLM integrations and build future-proof AI applications? Visit llm.do to learn more and get started.