Setup API Key
Guide the user through obtaining a Runway API key, installing the SDK, and configuring their project for API access.
PREREQUISITE: Run
first to ensure the project has server-side capability.
Step 1: Create a Runway Developer Account
Direct the user to:
- Go to https://dev.runwayml.com/
- Create an organization (or use an existing one)
- Navigate to Organization Settings → API Keys
- Click Create API Key
- Copy the key immediately — it is only shown once and cannot be recovered
Important warnings to tell the user:
- Lost keys cannot be retrieved. If lost, disable the old key and create a new one.
- API keys are organization-scoped, not user-scoped.
- You must prepay for credits before the API will work. Minimum purchase is $10 (1,000 credits at $0.01/credit). Do this at https://dev.runwayml.com/ under billing.
Step 2: Install the SDK
Node.js
bash
npm install @runwayml/sdk
Requires Node.js 18+. The SDK includes TypeScript type definitions.
Python
Requires Python 3.8+. Includes MyPy type annotations.
Step 3: Configure the Environment Variable
The SDK automatically reads the API key from the
environment variable.
Option A: file (recommended for development)
Check if the project already has a
file. If so, append to it. If not, create one.
RUNWAYML_API_SECRET=your_api_key_here
For Node.js projects: Ensure the project loads
files:
- Next.js, Remix, Vite — built-in support, no extra setup needed
- Express/Fastify/plain Node — install :
Add to the entry point:
For Python projects: Ensure
is installed if not using a framework with built-in support:
bash
pip install python-dotenv
Add to the entry point:
python
from dotenv import load_dotenv
load_dotenv()
Option B: System environment variable
bash
export RUNWAYML_API_SECRET=your_api_key_here
Option C: Pass directly to the client (not recommended)
javascript
// Node.js
const client = new RunwayML({ apiKey: 'your_api_key_here' });
python
# Python
client = RunwayML(api_key='your_api_key_here')
Warn the user: Never hardcode keys in source code. Use environment variables or a secrets manager.
Step 4: Update .gitignore
Ensure
is in
to prevent accidentally committing the API key:
.env
.env.local
.env.*.local
Check the existing
and add the entry if it's missing.
Step 5: Verify the Setup
Suggest the user run a quick verification:
Node.js
javascript
import RunwayML from '@runwayml/sdk';
const client = new RunwayML();
// If no error is thrown, the API key is configured correctly
console.log('Runway SDK initialized successfully');
Python
python
from runwayml import RunwayML
client = RunwayML()
# If no error is thrown, the API key is configured correctly
print('Runway SDK initialized successfully')
Step 6: Confirm Credit Balance
Remind the user:
- The API requires prepaid credits to function
- Minimum purchase: $10 (1,000 credits)
- Purchase at: https://dev.runwayml.com/ → Billing
- They can check their balance via the API:
javascript
// Node.js - check organization info
const response = await fetch('https://api.dev.runwayml.com/v1/organization', {
headers: {
'Authorization': `Bearer ${process.env.RUNWAYML_API_SECRET}`,
'X-Runway-Version': '2024-11-06'
}
});
const org = await response.json();
console.log('Credits:', org.creditBalance);
Security Checklist
Before moving on, verify:
Next Steps
Once the API key is configured, the user can proceed with integration:
- — Video generation (text-to-video, image-to-video)
- — Image generation
- — Audio generation (TTS, sound effects, voice)
- — File upload for models that require image/video input