[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill-runway-rw-api-reference":3,"mdc--i88b96-key":37,"related-org-runway-rw-api-reference":5992,"related-repo-runway-rw-api-reference":6150},{"slug":4,"name":4,"fn":5,"description":6,"org":7,"tags":12,"stars":26,"repoUrl":27,"updatedAt":28,"license":29,"forks":30,"topics":31,"repo":32,"sourceUrl":35,"mdContent":36},"rw-api-reference","look up Runway API reference","Complete reference for Runway's public API: models, endpoints, costs, limits, and types",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},"runway","Runway","https:\u002F\u002Fpexgzepcugksgbtrxkhf.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Forg-logos\u002Frunway.png","runwayml",[13,17,20,23],{"name":14,"slug":15,"type":16},"Reference","reference","tag",{"name":18,"slug":19,"type":16},"AI Infrastructure","ai-infrastructure",{"name":21,"slug":22,"type":16},"API Development","api-development",{"name":24,"slug":25,"type":16},"Video","video",57,"https:\u002F\u002Fgithub.com\u002Frunwayml\u002Fskills","2026-04-08T04:41:58.820783",null,15,[],{"repoUrl":27,"stars":26,"forks":30,"topics":33,"description":34},[],"for Runway coding agent skills","https:\u002F\u002Fgithub.com\u002Frunwayml\u002Fskills\u002Ftree\u002FHEAD\u002Fskills\u002Frw-api-reference","---\nname: rw-api-reference\ndescription: \"Complete reference for Runway's public API: models, endpoints, costs, limits, and types\"\nuser-invocable: false\n---\n\n# Runway Public API Reference\n\n> **PREREQUISITE:** Run `+rw-check-compatibility` first to ensure the project has server-side capability.\n\nBase URL: `https:\u002F\u002Fapi.dev.runwayml.com`\n\nAll requests require these headers:\n```\nAuthorization: Bearer \u003CRUNWAYML_API_SECRET>\nX-Runway-Version: 2024-11-06\n```\n\n---\n\n## Models & Endpoints\n\n### Video Generation\n\n| Model | Endpoint | Input | Cost (credits\u002Fsec) |\n|-------|----------|-------|---------------------|\n| `gen4.5` | `POST \u002Fv1\u002Fimage_to_video` or `POST \u002Fv1\u002Ftext_to_video` | Text and\u002For Image | 12 |\n| `gen4_turbo` | `POST \u002Fv1\u002Fimage_to_video` | Image required | 5 |\n| `gen4_aleph` | `POST \u002Fv1\u002Fvideo_to_video` | Video + Text\u002FImage | 15 |\n| `act_two` | `POST \u002Fv1\u002Fcharacter_performance` | Image\u002FVideo | 5 |\n| `veo3` | `POST \u002Fv1\u002Fimage_to_video` or `POST \u002Fv1\u002Ftext_to_video` | Text\u002FImage | 40 |\n| `veo3.1` | `POST \u002Fv1\u002Fimage_to_video` or `POST \u002Fv1\u002Ftext_to_video` | Text\u002FImage | 20-40 |\n| `veo3.1_fast` | `POST \u002Fv1\u002Fimage_to_video` or `POST \u002Fv1\u002Ftext_to_video` | Text\u002FImage | 10-15 |\n| `seedance2` | `POST \u002Fv1\u002Ftext_to_video`, `POST \u002Fv1\u002Fimage_to_video`, or `POST \u002Fv1\u002Fvideo_to_video` | Text, Image, and\u002For Video | 36 |\n\nVideo duration: **2-15 seconds** (model-dependent). Aspect ratios are pixel-based: `1280:720`, `720:1280`, `1104:832`, `960:960`, `832:1104`, `1584:672`, etc.\n\n**Seedance 2 specifics:**\n- Modes: text-to-video, image-to-video (first\u002Flast frame or image reference), video-to-video\n- Duration: required for TTV and ITV (in seconds)\n- Aspect ratios (pixel-based): `1280:720`, `720:1280`, `960:960`, `1112:834`, `834:1112`, `1470:630`, `992:432`, `864:496`, `752:560`, `640:640`, `560:752`, `496:864`\n- ITV supports two mutually exclusive modes: first\u002Flast frame (`promptImage` array with `position`) or image reference (`references` array)\n- VTV input requirements: max 15 seconds, max 32 MB, min 720p resolution, MP4 recommended\n\n### Image Generation\n\n| Model | Endpoint | Cost (credits) |\n|-------|----------|----------------|\n| `gen4_image` | `POST \u002Fv1\u002Ftext_to_image` | 5 (720p), 8 (1080p) |\n| `gen4_image_turbo` | `POST \u002Fv1\u002Ftext_to_image` | 2 |\n| `gemini_2.5_flash` | `POST \u002Fv1\u002Ftext_to_image` | 5 |\n\n### Audio Generation\n\n| Model | Endpoint | Use Case | Cost |\n|-------|----------|----------|------|\n| `eleven_multilingual_v2` | `POST \u002Fv1\u002Ftext_to_speech` | Text to speech | 1 credit\u002F50 chars |\n| `eleven_text_to_sound_v2` | `POST \u002Fv1\u002Fsound_effect` | Sound effects | 1-2 credits |\n| `eleven_voice_isolation` | `POST \u002Fv1\u002Fvoice_isolation` | Isolate voice from audio | 1 credit\u002F6 sec |\n| `eleven_voice_dubbing` | `POST \u002Fv1\u002Fvoice_dubbing` | Dub audio to other languages | 1 credit\u002F2 sec |\n| `eleven_multilingual_sts_v2` | `POST \u002Fv1\u002Fspeech_to_speech` | Voice conversion | 1 credit\u002F3 sec |\n\n### Characters (Real-Time Avatars)\n\n| Model | Description | Session Max Duration |\n|-------|-------------|----------------------|\n| `gwm1_avatars` | Real-time conversational avatars powered by GWM-1 | 5 minutes |\n\n**Endpoints:**\n\n| Method | Endpoint | Description |\n|--------|----------|-------------|\n| `POST` | `\u002Fv1\u002Favatars` | Create a new Avatar |\n| `GET` | `\u002Fv1\u002Favatars\u002F{id}` | Retrieve an Avatar |\n| `PATCH` | `\u002Fv1\u002Favatars\u002F{id}` | Update an Avatar (name, voice, personality, documentIds) |\n| `DELETE` | `\u002Fv1\u002Favatars\u002F{id}` | Delete an Avatar |\n| `POST` | `\u002Fv1\u002Frealtime_sessions` | Create a new real-time session |\n| `GET` | `\u002Fv1\u002Frealtime_sessions\u002F{id}` | Retrieve session status (poll until `READY`) |\n| `POST` | `\u002Fv1\u002Frealtime_sessions\u002F{id}\u002Fconsume` | Consume session credentials for WebRTC (one-time use) |\n\n**Avatar creation parameters:**\n\n| Parameter | Type | Description |\n|-----------|------|-------------|\n| `name` | string | Display name for the avatar |\n| `referenceImage` | string | URL or `runway:\u002F\u002F` URI of the character image |\n| `voice` | object | `{ type: 'runway-live-preset', presetId: 'clara' }` |\n| `personality` | string | System prompt \u002F personality instructions |\n| `documentIds` | string[] | Optional. IDs of knowledge base documents to attach |\n\n**Voice presets:** `clara` (soft), `victoria` (firm), `vincent` (authoritative). Preview all at [dev.runwayml.com](https:\u002F\u002Fdev.runwayml.com\u002F).\n\n**Session statuses:** `NOT_READY` → `READY` → `RUNNING` → `COMPLETED` (or `FAILED` \u002F `CANCELLED`)\n\n### Documents (Knowledge Base)\n\n| Method | Endpoint | Description |\n|--------|----------|-------------|\n| `POST` | `\u002Fv1\u002Fdocuments` | Create a document (plain text or Markdown) |\n| `GET` | `\u002Fv1\u002Fdocuments\u002F{id}` | Retrieve a document |\n| `DELETE` | `\u002Fv1\u002Fdocuments\u002F{id}` | Delete a document |\n\nEach Avatar supports up to **50,000 tokens** of knowledge. Link documents to an Avatar via `client.avatars.update(id, { documentIds: [...] })`.\n\n---\n\n## Request Body Reference (raw JSON)\n\nUse these when calling the API directly (e.g. through `use-runway-api`'s `request` command) rather than via an SDK. Only required + common fields shown — consult `+rw-fetch-api-reference` for the full schema.\n\n### `POST \u002Fv1\u002Ftext_to_image`\n\n```json\n{\n  \"model\": \"gen4_image\",\n  \"promptText\": \"A serene Japanese garden with cherry blossoms\",\n  \"ratio\": \"1920:1080\"\n}\n```\n\n- `model`: `gen4_image` | `gen4_image_turbo` | `gemini_2.5_flash` (required)\n- `promptText`: string, up to ~1000 chars (required)\n- `ratio`: one of `1920:1080`, `1080:1920`, `1024:1024`, `1360:768`, `1080:1080`, `1168:880`, `1440:1080`, `1080:1440`, `1808:768`, `2112:912` (required; 720p or 1080p variants depending on model)\n- `referenceImages`: optional `[{ \"uri\": \"https:\u002F\u002F...\", \"tag\": \"MyTag\" }]` — reference by `@MyTag` in `promptText`\n- `seed`: optional integer for reproducibility\n\n### `POST \u002Fv1\u002Ftext_to_video`\n\n```json\n{\n  \"model\": \"gen4.5\",\n  \"promptText\": \"A golden retriever running through wildflowers at sunset\",\n  \"ratio\": \"1280:720\",\n  \"duration\": 5\n}\n```\n\n- `model`: `gen4.5` | `veo3` | `veo3.1` | `veo3.1_fast` | `seedance2` (required)\n- `duration`: integer seconds, 2–10 (required; model-specific valid values — e.g. veo3 only accepts 8)\n- `ratio`: e.g. `1280:720`, `720:1280`, `1104:832`, `832:1104`, `960:960` (required)\n\n### `POST \u002Fv1\u002Fimage_to_video`\n\n```json\n{\n  \"model\": \"gen4.5\",\n  \"promptImage\": \"https:\u002F\u002Fexample.com\u002Fcover.jpg\",\n  \"promptText\": \"A slow dolly-in shot\",\n  \"ratio\": \"1280:720\",\n  \"duration\": 5\n}\n```\n\n- `model`: `gen4.5` | `gen4_turbo` | `veo3` | `veo3.1` | `veo3.1_fast` | `seedance2` (required)\n- `promptImage`: HTTPS URL, data URI, or `runway:\u002F\u002F` URI (required). Can also be `[{ \"uri\": \"...\", \"position\": \"first\" | \"last\" }]` for keyframes.\n- `promptText`: optional for most models, required for `gen4_turbo` when no image motion is obvious\n\n### `POST \u002Fv1\u002Fvideo_to_video`\n\n```json\n{\n  \"model\": \"gen4_aleph\",\n  \"videoUri\": \"https:\u002F\u002Fexample.com\u002Fsource.mp4\",\n  \"promptText\": \"Change the season to winter with snowfall\",\n  \"ratio\": \"1280:720\"\n}\n```\n\n### `POST \u002Fv1\u002Ftext_to_speech`\n\n```json\n{\n  \"model\": \"eleven_multilingual_v2\",\n  \"text\": \"Hello, welcome to Runway.\",\n  \"voice\": { \"type\": \"runway-preset\", \"presetId\": \"clara\" }\n}\n```\n\n- `voice`: `{ type: \"runway-preset\", presetId: \"clara\" | \"victoria\" | \"vincent\" | ... }` or a provider-specific voice object\n- `languageCode`: optional ISO code (auto-detected by default)\n\n### `POST \u002Fv1\u002Fsound_effect`\n\n```json\n{\n  \"model\": \"eleven_text_to_sound_v2\",\n  \"promptText\": \"Thunderclap followed by heavy rain\",\n  \"duration\": 5\n}\n```\n\n### `POST \u002Fv1\u002Fvoice_isolation`\n\n```json\n{\n  \"model\": \"eleven_voice_isolation\",\n  \"audioUri\": \"https:\u002F\u002Fexample.com\u002Fnoisy.mp3\"\n}\n```\n\n### `POST \u002Fv1\u002Fvoice_dubbing`\n\n```json\n{\n  \"model\": \"eleven_voice_dubbing\",\n  \"audioUri\": \"https:\u002F\u002Fexample.com\u002Fenglish.mp3\",\n  \"targetLanguage\": \"es\"\n}\n```\n\n### `POST \u002Fv1\u002Fspeech_to_speech`\n\n```json\n{\n  \"model\": \"eleven_multilingual_sts_v2\",\n  \"audioUri\": \"https:\u002F\u002Fexample.com\u002Fsource.mp3\",\n  \"voice\": { \"type\": \"runway-preset\", \"presetId\": \"victoria\" }\n}\n```\n\n### `POST \u002Fv1\u002Favatars`\n\n```json\n{\n  \"name\": \"Support Agent\",\n  \"referenceImage\": \"https:\u002F\u002Fexample.com\u002Fportrait.jpg\",\n  \"voice\": { \"type\": \"runway-live-preset\", \"presetId\": \"clara\" },\n  \"personality\": \"You are a friendly support agent.\",\n  \"documentIds\": []\n}\n```\n\n### `POST \u002Fv1\u002Fdocuments`\n\n```json\n{\n  \"avatarId\": \"\u003Cavatar-id>\",\n  \"name\": \"FAQ\",\n  \"content\": \"Q: What is your return policy?\\nA: 30 days, no questions asked.\"\n}\n```\n\n### `POST \u002Fv1\u002Frealtime_sessions`\n\n```json\n{\n  \"avatarId\": \"\u003Cavatar-id>\"\n}\n```\n\n---\n\n### Management Endpoints\n\n| Method | Endpoint | Description |\n|--------|----------|-------------|\n| `GET` | `\u002Fv1\u002Ftasks\u002F{id}` | Get task status and output |\n| `DELETE` | `\u002Fv1\u002Ftasks\u002F{id}` | Cancel\u002Fdelete a task |\n| `POST` | `\u002Fv1\u002Fuploads` | Create ephemeral upload |\n| `GET` | `\u002Fv1\u002Forganization` | Organization info & credit balance |\n| `POST` | `\u002Fv1\u002Forganization\u002Fusage` | Credit usage history (up to 90 days) |\n\n---\n\n## Task Lifecycle\n\nAll generation endpoints return a task object. The flow is:\n\n1. **Submit** — `POST \u002Fv1\u002F\u003Cendpoint>` → returns `{ \"id\": \"task_xxx\" }`\n2. **Poll** — `GET \u002Fv1\u002Ftasks\u002F{id}` → returns task with `status`\n3. **Retrieve output** — When `status === \"SUCCEEDED\"`, the `output` array contains signed URLs\n\n### Task Statuses\n\n| Status | Meaning |\n|--------|---------|\n| `PENDING` | Queued, waiting to start |\n| `RUNNING` | Currently generating |\n| `SUCCEEDED` | Complete — output URLs available |\n| `FAILED` | Generation failed — check `failure` field |\n| `THROTTLED` | Concurrency limit hit — auto-queued |\n\n### SDK Polling (Recommended)\n\nThe SDKs provide a `waitForTaskOutput()` method that handles polling automatically:\n\n```javascript\n\u002F\u002F Node.js — polls until complete (default 10 min timeout)\nconst task = await client.imageToVideo.create({\n  model: 'gen4.5',\n  promptImage: 'https:\u002F\u002Fexample.com\u002Fimage.jpg',\n  promptText: 'A sunset timelapse',\n  ratio: '1280:720',\n  duration: 5\n}).waitForTaskOutput();\n\nconsole.log(task.output); \u002F\u002F Array of signed URLs\n```\n\n```python\n# Python\ntask = client.image_to_video.create(\n    model='gen4.5',\n    prompt_image='https:\u002F\u002Fexample.com\u002Fimage.jpg',\n    prompt_text='A sunset timelapse',\n    ratio='1280:720',\n    duration=5\n).wait_for_task_output()\n\nprint(task.output)\n```\n\n### Manual Polling (REST)\n\n```javascript\nasync function pollTask(taskId) {\n  while (true) {\n    const response = await fetch(`https:\u002F\u002Fapi.dev.runwayml.com\u002Fv1\u002Ftasks\u002F${taskId}`, {\n      headers: {\n        'Authorization': `Bearer ${process.env.RUNWAYML_API_SECRET}`,\n        'X-Runway-Version': '2024-11-06'\n      }\n    });\n    const task = await response.json();\n\n    if (task.status === 'SUCCEEDED') return task;\n    if (task.status === 'FAILED') throw new Error(task.failure);\n\n    await new Promise(r => setTimeout(r, 5000)); \u002F\u002F poll every 5 seconds\n  }\n}\n```\n\n---\n\n## Output Handling\n\n- Successful tasks return an `output` array with **signed URLs** to generated content\n- Output URLs **expire within 24-48 hours**\n- **Download and store outputs** in your own storage — do not serve signed URLs to end users\n- Video outputs are MP4, image outputs are PNG\u002FJPEG\n\n---\n\n## Input Requirements\n\n### Size Limits\n\n| Type | Via URL | Via Data URI | Via Upload |\n|------|---------|-------------|------------|\n| Image | 16 MB | 5 MB | 200 MB |\n| Video | 32 MB | 16 MB | 200 MB |\n| Audio | 32 MB | 16 MB | 200 MB |\n\n### Supported Formats\n\n- **Images:** JPEG, PNG, WebP (no GIF)\n- **Video codecs:** H.264, H.265\u002FHEVC, AV1, VP8\u002FVP9, Apple ProRes, Theora\n- **Audio:** MP3, AAC, FLAC, PCM, ALAC\n\n### URL Requirements\n\nIf providing assets via URL:\n- HTTPS only (no HTTP)\n- Domain names only (no IP addresses)\n- No redirects\n- Must support HTTP HEAD requests\n- Must return valid `Content-Type` and `Content-Length` headers\n- Max URL length: 2,048 characters\n\n---\n\n## Rate Limits & Tiers\n\n| Tier | Concurrency | Daily Gens | Monthly Cap | Unlock |\n|------|-------------|------------|-------------|--------|\n| 1 (default) | 1-2 | 50-200 | $100 | — |\n| 2 | 3 | 500-1,000 | $500 | 1 day + $50 |\n| 3 | 5 | 1,000-2,000 | $2,000 | 7 days + $100 |\n| 4 | 10 | 5,000-10,000 | $20,000 | 14 days + $1,000 |\n| 5 | 20 | 25,000-30,000 | $100,000 | 7 days + $5,000 |\n\n- No requests-per-minute limit — only daily generation quotas\n- Exceeding concurrency → `THROTTLED` status (auto-queued, not rejected)\n- Exceeding daily limit → `429 Too Many Requests`\n- Daily limits use a **rolling 24-hour window**\n\n---\n\n## Error Handling\n\n### HTTP Errors\n\n| Code | Meaning | Action |\n|------|---------|--------|\n| 400 | Input validation failure | Fix input, do not retry |\n| 401 | Invalid API key | Check key, do not retry |\n| 429 | Rate limited | Retry with exponential backoff + jitter |\n| 502\u002F503\u002F504 | Server overload | Retry with exponential backoff + jitter |\n\n### Task Failure Codes\n\n| Code | Meaning | Retry? |\n|------|---------|--------|\n| `SAFETY.INPUT.*` | Input content moderation | No — not refundable |\n| `SAFETY.OUTPUT.*` | Output content moderation | Yes — try different prompt |\n| `INTERNAL.BAD_OUTPUT` | Quality issue | Yes |\n| `ASSET.INVALID` | Bad input format | Fix input |\n| `INTERNAL` | Server error | Yes |\n\nThe SDKs handle retries for transient errors automatically.\n\n---\n\n## Data URI Support\n\nBase64-encoded images can be passed instead of URLs:\n\n```\ndata:image\u002Fpng;base64,iVBORw0KGgoAAAANSUhEUgAA...\n```\n\nUseful for small images or when you don't want to host the file. 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