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Create an account and API key

Create a RunBridge AI account and API key before you call the API.
1

Sign in or create an account

Open the RunBridge AI login page. Continue with Google, continue with GitHub, or enter your email or username. If you do not have an account, complete account creation from this page.
2

Open API keys

After you sign in, open the API key page. You can also select API Keys in the dashboard sidebar.
3

Create an API key

Click Create API Key, enter a clear name such as local-test, and keep Unlimited Quota enabled for a first test unless you want to set a spending cap. Click Create.
4

Copy the API key

Click the copy button in the Key column. Store the copied key in a server-side environment variable or a local .env file. Do not paste a real API key into public repositories, frontend code, screenshots, or support tickets.
Request examples read RUNBRIDGE_API_KEY from your environment.

Store your API key locally

For local testing, export your API key as an environment variable:

Base URL

Use this base URL for OpenAI-compatible SDKs and API calls:

30-second switch from OpenAI

After you have a RunBridge AI API key, use this two-setting diff when you switch an OpenAI SDK client to RunBridge AI:
RunBridge AI uses OpenAI-compatible request formats for text and GPT Image workflows. If your app already uses the OpenAI SDK, start by changing the base URL and API key.

Make your first call

After you set RUNBRIDGE_API_KEY in your environment, replace your-model-id with a current model ID from the Models page.

Pick a model

Choose a model ID from the Models page, then pass that value in the model field.

What is next

FAQ

Open the RunBridge AI login page, then continue with Google, continue with GitHub, or enter your email or username. If you do not have an account, complete account creation from the same page.
Open the API key page in the RunBridge AI dashboard, click Create API Key, enter a name, click Create, and copy the generated API key. Use $RUNBRIDGE_API_KEY in examples instead of a real API key.
Store your API key in a server-side environment variable or a local .env file. Do not commit it to public repositories, paste it into frontend code, include it in screenshots, or send it in support tickets.
Use https://api.runbridge.ai/v1 for OpenAI-compatible SDKs and endpoints such as /v1/chat/completions.
Yes. Create an OpenAI client, set api_key to your RunBridge AI API key, and set base_url to https://api.runbridge.ai/v1.
Change the base URL to https://api.runbridge.ai/v1, replace the API key with your RunBridge AI API key, and use a RunBridge AI model ID from the Models page.
Choose the model ID by use case. Start from the Models page, then select a text or image model that matches the API page that you plan to call.
RunBridge AI works with any programming language that can send HTTPS requests. Start with the curl, Python, and Node.js examples on this page, or use an OpenAI-compatible SDK that lets you override the base URL.
You can create a RunBridge AI API key from the dashboard. To check free trial availability, free trial credits, and billing details, see the RunBridge AI pricing page.
Last modified on October 9, 2026