ClawHub

tokenrouter-video-usaging

Other

Guide the agent to perform tokenrouter channel and model configuration checks for video generation tasks. First, check whether the workspace already has a tokenrouter channel whose baseurl contains `https://api.tokenrouter.com` or `https://open.palebluedot.ai`. If no such channel exists, stop and instruct the user to visit `https://www.tokenrouter.com` to register and obtain tokenrouter configuration. If the channel exists, then check whether the requested video model (`MiniMax-Hailuo-2.3`, `kling-v3`, `kling-v2-6`, `dreamina-seedance-2-0-fast-260128`, or `dreamina-seedance-2-0-260128`) is already configured in the channel. If the model is missing, the agent should auto-configure the model route by inferring the existing schema and adding the smallest correct change. After confirming both the channel and the model are ready, use the configured route to create and query video generation tasks.

Install

openclaw skills install tokenrouter-generate-video

Tokenrouter Video Usaging

Overview

Find the tokenrouter channel configuration in the current workspace, infer the existing provider/channel schema from neighboring model entries, and add a MiniMax-Hailuo-2.3, kling-v3, kling-v2-6, dreamina-seedance-2-0-fast-260128, or dreamina-seedance-2-0-260128 route with the smallest correct change. Then use the configured tokenrouter endpoint to create a video generation task and fetch task status until a final video URL or terminal state is returned.

Workflow

  1. Channel Check: Discover the tokenrouter config and check whether any configured channel has a baseurl or baseURL containing https://api.tokenrouter.com or https://open.palebluedot.ai.
    • If NO such channel exists, STOP immediately and tell the user: "No tokenrouter channel with https://api.tokenrouter.com or https://open.palebluedot.ai was found. Please visit https://www.tokenrouter.com to register and obtain your channel configuration, then add it to the workspace."
    • If a channel IS found, proceed to step 2.
  2. Model Check: Check whether the requested video model (MiniMax-Hailuo-2.3, kling-v3, kling-v2-6, dreamina-seedance-2-0-fast-260128, or dreamina-seedance-2-0-260128) already exists in the channel's model map or route list.
    • If the model IS already configured, skip to step 4.
    • If the model is NOT configured, proceed to step 3.
  3. Auto-Configuration: Infer the existing provider/channel schema from neighboring model entries, then add the missing model route with the smallest correct change.
    • Reuse the existing video provider pattern if one exists; otherwise mirror the closest neighboring provider entry.
    • Save the config change with the smallest possible edit. Do not rewrite unrelated formatting or reorder large sections unless the file format requires it.
    • Reload or restart the tokenrouter service if the workspace provides a command to do so.
  4. API Call: Use the detected channel's key and the fixed base URL https://api.tokenrouter.com to call the video generation endpoints.
  5. Polling: Poll task status until success, failure, or timeout.

Config Discovery

Start by searching for likely tokenrouter config files in the current workspace.

  • Prefer files matching names like *tokenrouter*, *channel*, *provider*, *model*, config*.json, config*.yaml, config*.yml, *.toml, *.ts, *.js.
  • Look for keys such as channels, providers, models, routes, baseURL, baseurl, apiKey, key, upstream, model_map, model_name, or similar.
  • Run scripts/find_tokenrouter_config.py first when the workspace is large or the config location is unclear.

Choose the config file that is actually consumed by the running tokenrouter setup, not merely documentation or examples.

Authentication discovery rule:

  • Search current channel/provider configs for a baseurl or baseURL containing https://api.tokenrouter.com or https://open.palebluedot.ai.
  • If found, treat that entry as the tokenrouter channel and reuse its configured key for Authorization.
  • If not found, stop and instruct the user to register at https://www.tokenrouter.com to obtain tokenrouter access and the required channel configuration.

Config Update Rules

Infer the schema from the file instead of assuming a fixed format.

  • If the requested model (MiniMax-Hailuo-2.3, kling-v3, kling-v2-6, dreamina-seedance-2-0-fast-260128, or dreamina-seedance-2-0-260128) already exists, update only missing or incorrect fields.
  • If there is an existing video-generation entry (MiniMax, Hailuo, Kling, Seedance, or another video model), copy that shape and adapt it.
  • Preserve existing auth conventions. If an existing https://api.tokenrouter.com or https://open.palebluedot.ai channel is present, reuse that channel's key exactly as configured instead of introducing a new env var name.
  • Prefer adding the new model alongside existing channel/provider definitions rather than introducing a second config mechanism.
  • Do not invent fallback compatibility fields unless the surrounding config already uses them.

Minimum target behavior:

  • The tokenrouter config must recognize the requested model name (MiniMax-Hailuo-2.3, kling-v3, kling-v2-6, dreamina-seedance-2-0-fast-260128, or dreamina-seedance-2-0-260128).
  • Requests for that model must reach the upstream path POST /v1/video/generations.
  • Status checks must use GET /video/generations/:task_id.

If the local tokenrouter schema distinguishes between chat/completions/image/video APIs, make sure this model is wired into the video path rather than a text generation path.

API Calls

Use the fixed tokenrouter base URL https://api.tokenrouter.com for all API calls.

Auth rule:

  • Base URL is always https://api.tokenrouter.com.
  • If a matching channel exists, use that channel's configured key directly.
  • If no matching channel exists, do not fabricate placeholders like TOKENROUTER_API_KEY; instead tell the user to register at https://www.tokenrouter.com and add tokenrouter config first.

Model: MiniMax-Hailuo-2.3

Create video task:

{
  "path": "/v1/video/generations",
  "method": "POST",
  "params": {
    "model": "MiniMax-Hailuo-2.3",
    "prompt": "A man picks up a book [Pedestal up], then reads [Static shot].",
    "size": "1080P",
    "duration": 6
  }
}

size and duration must be chosen as one of the supported Hailuo combinations:

  • 1080P with 6
  • 768P with 10
  • 768P with 6

Do not mix unsupported combinations. If the user asks for another pair, ask them to choose one of the three valid options.

Model: kling-v3

Supports both text-to-video and image-to-video.

Text-to-video:

{
  "path": "/v1/video/generations",
  "method": "POST",
  "params": {
    "model": "kling-v3",
    "prompt": "A silver robot walking through a rainy neon alley",
    "mode": "pro",
    "duration": "5",
    "metadata": {
      "aspect_ratio": "16:9",
      "sound": "on",
      "negative_prompt": "blurry, low quality"
    }
  }
}

Image-to-video:

{
  "path": "/v1/video/generations",
  "method": "POST",
  "params": {
    "model": "kling-v3",
    "prompt": "The girl smiles slightly and the camera slowly pushes in",
    "image": "https://example.com/portrait.png",
    "mode": "pro",
    "duration": "5",
    "metadata": {
      "sound": "off",
      "negative_prompt": "flicker, blur"
    }
  }
}

duration is a string. Common values include "5". mode is a string such as "pro". metadata is optional but may include aspect_ratio, sound, and negative_prompt. image is optional; when present, it triggers image-to-video generation. Do not send Hailuo-only fields (size) when using kling-v3.

Model: kling-v2-6

Supports both text-to-video and image-to-video.

Text-to-video:

{
  "path": "/v1/video/generations",
  "method": "POST",
  "params": {
    "model": "kling-v2-6",
    "prompt": "A silver robot walking through a rainy neon alley",
    "mode": "pro",
    "duration": "5",
    "metadata": {
      "aspect_ratio": "16:9",
      "sound": "on",
      "negative_prompt": "blurry, low quality"
    }
  }
}

Image-to-video:

{
  "path": "/v1/video/generations",
  "method": "POST",
  "params": {
    "model": "kling-v2-6",
    "prompt": "The girl smiles slightly and the camera slowly pushes in",
    "image": "https://example.com/portrait.png",
    "mode": "pro",
    "duration": "5",
    "metadata": {
      "sound": "off",
      "negative_prompt": "flicker, blur"
    }
  }
}

duration is a string. mode is a string such as "pro". metadata is optional but may include aspect_ratio, sound, and negative_prompt. image is optional; when present, it triggers image-to-video generation. Do not send Hailuo-only fields (size) when using kling-v2-6.

Model: dreamina-seedance-2-0-fast-260128

Supports both text-to-video and image-to-video.

Text-to-video:

{
  "path": "/v1/video/generations",
  "method": "POST",
  "params": {
    "model": "dreamina-seedance-2-0-fast-260128",
    "prompt": "A vintage sports car driving along a coastal road at sunset",
    "metadata": {
      "duration": 5,
      "resolution": "1080p",
      "ratio": "16:9",
      "generate_audio": true
    }
  }
}

Image-to-video:

{
  "path": "/v1/video/generations",
  "method": "POST",
  "params": {
    "model": "dreamina-seedance-2-0-fast-260128",
    "prompt": "The subject looks up toward the camera while hair moves gently in the wind",
    "images": [
      "https://example.com/input-image.png"
    ],
    "metadata": {
      "duration": 5,
      "resolution": "720p",
      "ratio": "9:16"
    }
  }
}

prompt is required for text-to-video, optional but recommended for image-to-video. metadata is optional but may include duration, resolution, ratio, and generate_audio. images is optional; when present, it triggers image-to-video generation. Do not send Hailuo-only fields (size) or Kling-only fields (mode, image) when using Seedance models.

Model: dreamina-seedance-2-0-260128

Supports both text-to-video and image-to-video.

Text-to-video:

{
  "path": "/v1/video/generations",
  "method": "POST",
  "params": {
    "model": "dreamina-seedance-2-0-260128",
    "prompt": "A vintage sports car driving along a coastal road at sunset",
    "metadata": {
      "duration": 5,
      "resolution": "1080p",
      "ratio": "16:9",
      "generate_audio": true
    }
  }
}

Image-to-video:

{
  "path": "/v1/video/generations",
  "method": "POST",
  "params": {
    "model": "dreamina-seedance-2-0-260128",
    "prompt": "The subject looks up toward the camera while hair moves gently in the wind",
    "images": [
      "https://example.com/input-image.png"
    ],
    "metadata": {
      "duration": 5,
      "resolution": "720p",
      "ratio": "9:16"
    }
  }
}

prompt is required for text-to-video, optional but recommended for image-to-video. metadata is optional but may include duration, resolution, ratio, and generate_audio. images is optional; when present, it triggers image-to-video generation. Do not send Hailuo-only fields (size) or Kling-only fields (mode, image) when using Seedance models.

Parameter Validation Rule

Before calling the create endpoint, always validate the request according to the chosen model:

For MiniMax-Hailuo-2.3:

  1. Check that prompt is present and is a string.
  2. Check that size is exactly "1080P" or "768P".
  3. Check that duration is exactly 6 or 10.
  4. Check that the pair belongs to the allowed set: (1080P, 6), (768P, 10), (768P, 6).
  5. Ensure mode, image, images, and metadata are NOT present (these fields belong to other models).
  6. If validation fails, stop and tell the user the allowed combinations instead of sending the request.

For kling-v3:

  1. Check that mode is present and is a string.
  2. Check that duration is a string value such as "5".
  3. Ensure size, images are NOT present.
  4. If image is present (image-to-video mode):
    • Check that image is a valid URL string.
    • prompt is optional but recommended.
    • metadata.aspect_ratio should NOT be present.
  5. If image is NOT present (text-to-video mode):
    • Ensure prompt is present and is a string.
  6. If validation fails, stop and tell the user the correct kling-v3 parameters instead of sending the request.

For kling-v2-6:

  1. Check that mode is present and is a string.
  2. Check that duration is a string value such as "5".
  3. Ensure size, images are NOT present.
  4. If image is present (image-to-video mode):
    • Check that image is a valid URL string.
    • prompt is optional but recommended.
    • metadata.aspect_ratio should NOT be present.
  5. If image is NOT present (text-to-video mode):
    • Ensure prompt is present and is a string.
  6. If validation fails, stop and tell the user the correct kling-v2-6 parameters instead of sending the request.

For dreamina-seedance-2-0-fast-260128:

  1. Ensure size, mode, image are NOT present.
  2. If images is NOT present (text-to-video mode):
    • Check that prompt is present and is a string.
    • metadata.generate_audio is optional boolean.
  3. If images is present (image-to-video mode):
    • Check that images is a non-empty array of valid URL strings.
    • prompt is optional but recommended.
    • metadata.generate_audio should NOT be present.
  4. If metadata.duration is present, check that it is an integer such as 5.
  5. If validation fails, stop and tell the user the correct Seedance parameters instead of sending the request.

For dreamina-seedance-2-0-260128:

  1. Ensure size, mode, image are NOT present.
  2. If images is NOT present (text-to-video mode):
    • Check that prompt is present and is a string.
    • metadata.generate_audio is optional boolean.
  3. If images is present (image-to-video mode):
    • Check that images is a non-empty array of valid URL strings.
    • prompt is optional but recommended.
    • metadata.generate_audio should NOT be present.
  4. If metadata.duration is present, check that it is an integer such as 5.
  5. If validation fails, stop and tell the user the correct Seedance parameters instead of sending the request.

Fetch task (all models)

{
  "path": "/video/generations/:task_id",
  "method": "GET"
}

Implementation notes:

  • Treat the create call as asynchronous.
  • Extract task_id from the create response using the actual response schema returned by the server.
  • Poll the fetch endpoint until a terminal state is reached.
  • Report the full terminal payload and any resulting video URL(s).
  • When extracting video URLs from the response, preserve the complete URL including the query string.
  • If the URL contains the escaped sequence \u0026, decode it to & before presenting or returning the URL.

Execution Pattern

  1. Confirm there is an existing channel whose baseurl contains https://api.tokenrouter.com or https://open.palebluedot.ai.
  2. If absent, stop and ask the user to get tokenrouter access from https://www.tokenrouter.com.
  3. If present, apply the config change for the requested model (MiniMax-Hailuo-2.3, kling-v3, kling-v2-6, dreamina-seedance-2-0-fast-260128, or dreamina-seedance-2-0-260128) in that channel or its neighboring model map.
  4. If the workspace provides a test or reload command, run it so the new model route is active.
  5. Submit a generation request with the detected channel key.
  6. Poll every few seconds until completion or an obvious terminal failure.

Example curl pattern after config is in place and a channel has been detected:

Hailuo:

curl -X POST "https://api.tokenrouter.com/v1/video/generations" \
  -H "Authorization: Bearer $DETECTED_CHANNEL_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "MiniMax-Hailuo-2.3",
    "prompt": "A man picks up a book [Pedestal up], then reads [Static shot].",
    "size": "1080P",
    "duration": 6
  }'

Kling text-to-video:

curl -X POST "https://api.tokenrouter.com/v1/video/generations" \
  -H "Authorization: Bearer $DETECTED_CHANNEL_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "kling-v3",
    "prompt": "A silver robot walking through a rainy neon alley",
    "mode": "pro",
    "duration": "5",
    "metadata": {
      "aspect_ratio": "16:9",
      "sound": "on",
      "negative_prompt": "blurry, low quality"
    }
  }'

Kling image-to-video:

curl -X POST "https://api.tokenrouter.com/v1/video/generations" \
  -H "Authorization: Bearer $DETECTED_CHANNEL_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "kling-v3",
    "prompt": "The girl smiles slightly and the camera slowly pushes in",
    "image": "https://example.com/portrait.png",
    "mode": "pro",
    "duration": "5",
    "metadata": {
      "sound": "off",
      "negative_prompt": "flicker, blur"
    }
  }'

Seedance text-to-video:

curl -X POST "https://api.tokenrouter.com/v1/video/generations" \
  -H "Authorization: Bearer $DETECTED_CHANNEL_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "dreamina-seedance-2-0-fast-260128",
    "prompt": "A vintage sports car driving along a coastal road at sunset",
    "metadata": {
      "duration": 5,
      "resolution": "1080p",
      "ratio": "16:9",
      "generate_audio": true
    }
  }'

Seedance image-to-video:

curl -X POST "https://api.tokenrouter.com/v1/video/generations" \
  -H "Authorization: Bearer $DETECTED_CHANNEL_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "dreamina-seedance-2-0-260128",
    "prompt": "The subject looks up toward the camera while hair moves gently in the wind",
    "images": [
      "https://example.com/input-image.png"
    ],
    "metadata": {
      "duration": 5,
      "resolution": "720p",
      "ratio": "9:16"
    }
  }'

Then:

curl "https://api.tokenrouter.com/video/generations/$TASK_ID" \
  -H "Authorization: Bearer $DETECTED_CHANNEL_KEY"

Adjust header names only if the existing workspace uses a different auth convention.

Resources

Use references/api_reference.md for endpoint-specific guidance and scripts/find_tokenrouter_config.py to quickly identify likely tokenrouter config files.

scripts/

find_tokenrouter_config.py scans the workspace for files likely to contain tokenrouter channel/provider/model routing config.

references/

api_reference.md captures the two required video endpoints, expected request bodies, and polling guidance.

assets/

No assets are required for this skill.