Recipe Full Setup

If NEEDS CHANGES, help the user make the required changes before proceeding.

If COMPATIBLE, proceed to Phase 2.

Phase 2: API Key Setup

Use +setup-api-key to configure credentials.

1. Direct the user to https://dev.runwayml.com/ to create an account and API key
2. Install the appropriate SDK (@runwayml/sdk for Node.js, runwayml for Python)
3. Configure the RUNWAYML_API_SECRET environment variable
4. Update .gitignore to exclude .env
5. Remind about credit purchase requirement ($10 minimum)

Wait for the user to confirm they have their API key before proceeding.

Phase 3: Determine What to Integrate

Ask the user what they want to build. Based on their response, use the appropriate integration skill:

Phase 4: Write the Integration Code

Based on the user's framework and needs:

1. Create the API route/handler — server-side endpoint that calls Runway
2. Add upload handling if the user needs to accept files from their users
3. Add error handling — catch and handle task failures
4. Handle output storage — remind user that output URLs expire in 24-48 hours

Phase 5: Test and Verify

Help the user:

1. Run a test generation to verify everything works
2. Check for common issues (missing env var, insufficient credits, wrong model)
3. Confirm output is accessible

Decision Tree for Upload Requirements

When the user's workflow involves images or videos as input:

Does the input come from a public HTTPS URL?
├── YES → Pass the URL directly to the API
└── NO → Is it a local file or user-uploaded file?
    ├── YES → Use +integrate-uploads to upload first, then pass runway:// URI
    └── NO → Is it small enough for a data URI? (< 5MB image, < 16MB video)
        ├── YES → Convert to base64 data URI
        └── NO → Use +integrate-uploads

Important Reminders

• Never expose the API key in client-side code. All API calls must happen server-side.
• Output URLs expire. Always download and store generated content.
• Credits are required. The API won't work without prepaid credits.
• Rate limits exist. Rate limits exist. You should always check what is the rate limit before attempting concurrent generations.
• Content moderation applies to both inputs and outputs. Safety-flagged inputs are non-refundable.
• Be cost-conscious. Help users pick the right model for their budget. Credit cost can be found on https://docs.dev.runwayml.com/guides/pricing/