In the rapidly evolving world of Large Language Models (LLMs), developers and businesses face a critical challenge: choosing the right model for the job and managing integrations with multiple providers. Different tasks often call for different models – one might be better for creative writing, another for complex code generation, and yet another for highly factual question answering. Integrating with each provider individually is time-consuming, error-prone, and quickly leads to technical debt.
Enter llm.do, your unified gateway for accessing the world's leading LLMs. With llm.do, you can access foundation models from providers like OpenAI, Anthropic, Google AI, xAI, and more, all through a single, consistent API.
Imagine a world where you aren't locked into a single LLM provider. A world where you can easily switch between powerful models like 'openai/gpt-4o', 'anthropic/claude-3-opus', or 'x-ai/grok-3-beta' with minimal code changes. This is the core promise of llm.do.
By providing a standardized interface, llm.do dramatically simplifies the process of integrating AI into your applications and services. Instead of maintaining separate API clients and logic for each provider, you interact with llm.do's unified endpoint. This not only accelerates development but also future-proofs your applications against changes in the LLM landscape.
Agentic workflows and AI-powered services often require the ability to utilize specific models depending on the task at hand within the workflow. For instance, an agent might use a powerful reasoning model for planning and then switch to a more specialized model for generating creative output.
llm.do is built to power these sophisticated applications. Its unified API makes it trivial for your agents and services to dynamically select and utilize the best LLM for each step of a task. This enables more robust, performant, and cost-effective AI applications.
Here's a glimpse of how simple it is to integrate 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 desired model
prompt: 'Write a blog post about the future of work post-AGI',
})
console.log(text)
This simple code snippet, using the ai library with the llm.do adapter, shows how effortlessly you can tap into the power of 'x-ai/grok-3-beta'. Switching to a different model is as easy as changing the model string (e.g., llm('openai/gpt-4o')).
A unified endpoint doesn't just offer technical convenience; it provides strategic advantages. By having a single point of access and management for all your LLM interactions, you gain better visibility into usage patterns across different models and providers. This insight is invaluable for making informed decisions about which models are delivering the most value for specific use cases, ultimately helping you optimize your AI spend.
Furthermore, being able to easily switch between models allows you to take advantage of competitive pricing and performance improvements as they emerge from different providers. You are no longer tied to one provider's cost structure.
For users of the [.do Agentic Workflow Platform](https://llm.do can be configured with a specific model using its fully qualified name. This allows you to bake the required model into the design and execution of your workflow service. When your agentic service runs, llm.do executes the prompt on the specified model, seamlessly integrating the LLM's output into your service logic. This simplifies the process of incorporating advanced LLM capabilities into your automated business processes and services. ), llm.do is a natural fit. It serves as the intelligence layer, providing seamless access to the LLMs that power your Business-as-Code services and workflows. This allows you to focus on building sophisticated agentic logic, knowing you have reliable and flexible access to the necessary AI capabilities.
Ready to simplify your LLM integrations, power your agentic workflows, and optimize your AI spend? Getting started with llm.do is straightforward. Sign up, get your API key, and start connecting to the world's leading large language models through a single API.
Experience the power of intelligence amplified.
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.