Connect OpenAI (ChatGPT, Sora, Whisper) and OpenRouter integrations

By integrating OpenAI and OpenRouter through Make, you can create intelligent routing systems that automatically select the most cost-effective or performant AI model for each task. OpenRouter acts as a unified gateway to multiple LLMs, while OpenAI provides access to GPT-4o, o1, and other powerful models. Make's automation platform lets you build workflows that compare responses, fallback to alternative models when needed, or route different types of requests to the optimal provider—all without writing complex code. This means you can reduce API costs by up to 90% while maintaining quality.

The combination unlocks powerful automation possibilities: create content generation workflows that use OpenRouter to test multiple models simultaneously and OpenAI's GPT-4 for final refinement; build intelligent chatbots that route queries to cost-effective models via OpenRouter and complex reasoning tasks to OpenAI's o1 model; automate document processing where OpenRouter handles initial analysis and OpenAI's Whisper transcribes audio components; or develop creative workflows where DALL-E generates images based on text refined through multiple LLM iterations via OpenRouter. Make's visual interface makes building these multi-step automations accessible, even for non-developers.

No coding experience is required. Make provides a visual, drag-and-drop interface that allows you to connect OpenAI and OpenRouter through pre-built modules. You authenticate your API keys, select the actions you want (like 'Create a Chat Completion' for OpenAI or route a request through OpenRouter), and connect them with other apps in your workflow. Make handles all the technical complexity of API calls, data formatting, and error handling automatically. You can start with templates and customize them to your needs, making enterprise-grade AI automation accessible to everyone.

Make includes built-in features specifically designed for reliable AI integrations: automatic error handling and retry logic ensure your workflows continue even if an API temporarily fails; you can set up fallback routes so if OpenAI is unavailable, requests automatically go through OpenRouter to alternative models; the platform includes data transformation tools to ensure outputs from different AI models are consistently formatted; and execution history lets you monitor and debug every step. Additionally, Make's scenario scheduling and webhook triggers mean your AI automations run exactly when needed, whether that's real-time processing or batch operations during off-peak hours for cost savings.

A scenario represents a workflow or a project of your own creation, and it is made up of a series of modules that automate apps and services. Creating a scenario allows you to transfer and transform data between apps and services via these modules to automate anything and improve the way you work.

Modules are the main building blocks of automation in Make. Modules represent actions that Make performs with an app, like creating, updating, or deleting data.