runware-api

GitHub

提供 Runware API 的请求规范、认证及错误处理指南,涵盖 REST/WebSocket 调用、异步轮询机制及重试策略。内置本地辅助脚本简化模型搜索、图文生成及任务状态查询操作。

skills/runware-api/SKILL.md LayrKits/Sprite-Pipeline

Trigger Scenarios

发起或调试 Runware API 请求 处理 Runware 异步任务轮询 使用本地脚本进行模型搜索或图像生成

Install

npx skills add LayrKits/Sprite-Pipeline --skill runware-api -g -y
More Options

Use without installing

npx skills use LayrKits/Sprite-Pipeline@runware-api

指定 Agent (Claude Code)

npx skills add LayrKits/Sprite-Pipeline --skill runware-api -a claude-code -g -y

安装 repo 全部 skill

npx skills add LayrKits/Sprite-Pipeline --all -g -y

预览 repo 内 skill

npx skills add LayrKits/Sprite-Pipeline --list

SKILL.md

Frontmatter
{
    "name": "runware-api",
    "description": "Use when making, reviewing, debugging, or scripting Runware API requests. Follow Runware's raw REST\/WebSocket request shape, authentication, UUID, async polling, error, retry, and model-selection rules."
}

Runware API Skill

Use this skill when working with Runware requests in this repo. Prefer the current Runware docs for model-specific parameters, because available models and capabilities change often.

Docs To Check

  • Platform intro: https://runware.ai/docs/platform/introduction
  • Authentication: https://runware.ai/docs/platform/authentication
  • Task polling: https://runware.ai/docs/platform/task-polling
  • Errors: https://runware.ai/docs/platform/errors
  • Rate limits: https://runware.ai/docs/platform/rate-limits
  • Model search: https://runware.ai/docs/platform/model-search
  • Text to image guide: https://runware.ai/docs/guides/text-to-image

Request Rules

  • REST endpoint: https://api.runware.ai/v1.
  • WebSocket endpoint: wss://ws-api.runware.ai/v1.
  • Raw API request bodies are always a JSON array of task objects, even for one task.
  • Authenticate REST calls with Authorization: Bearer <API_KEY> whenever possible. Payload auth is allowed by docs but avoid embedding keys in saved JSON.
  • For WebSockets, the first message must be an authentication task containing the API key; subsequent messages use the same authenticated connection.
  • Every task that accepts taskUUID must use a fresh UUID v4. Preserve and log the UUID for debugging and async polling.
  • Match responses to requests by taskUUID and taskType; do not assume array order is enough.

Local Helper

This workspace has an ignored local helper at local/runware_request.py.

Examples:

export RUNWARE_API_KEY="..."
python3 local/runware_request.py model-search --search "pixel art" --limit 5
python3 local/runware_request.py text-to-image --prompt "a small airship over a forest"
python3 local/runware_request.py raw request.json
python3 local/runware_request.py poll <taskUUID>

The helper prints the full JSON response, retries transient REST/capacity failures with exponential backoff, exits nonzero when errors is present, and uses only Python standard-library modules.

Async And Polling

  • For long-running operations, set "deliveryMethod": "async" when the model or workflow supports it.
  • Poll with a getResponse task:
[
  {
    "taskType": "getResponse",
    "taskUUID": "00000000-0000-4000-8000-000000000000"
  }
]
  • Use exponential backoff when polling. Start around 1-2 seconds, increase the delay, and add an initial delay for predictable long tasks such as video.
  • getResponse can return processing, success, or error; completed generations can appear before the whole task is finished.

Error And Retry Rules

  • Runware errors are returned in an errors array. Multiple-task requests can have some successful data entries and some scoped errors.
  • Log the full message and taskUUID; the UUID is important for support.
  • Retry only transient failures with exponential backoff: HTTP 429, HTTP 5xx, and capacity/provider codes such as timeoutProvider or providerRateLimitExceeded.
  • Do not blindly retry client errors such as invalid parameters, invalid API keys, missing balance, or permission failures.
  • Keep normal concurrency around 2-4 requests unless the user has a capacity agreement or the current docs say otherwise.

Image Generation Defaults

For imageInference text-to-image work:

  • Use taskType: "imageInference".
  • Include model, positivePrompt, width, height, and a UUID v4 taskUUID.
  • Use runware:101@1 only as a quick FLUX.1 Dev starting point; search or inspect model docs when style, cost, speed, or capability matters.
  • negativePrompt is useful for many diffusion models, but FLUX-style models may ignore it.
  • Check each model's recommended defaults for dimensions, steps, scheduler, CFG, and supported extras before assuming parameters are valid.

Secret Handling

  • Never commit API keys, .env files, generated request payloads containing keys, or downloaded private outputs.
  • Prefer RUNWARE_API_KEY in the shell environment.
  • If a command fails because the key is missing, ask the user to provide or set the key instead of inventing one.

Version History

  • df08816 Current 2026-07-24 16:33

Same Skill Collection

skills/sprite-sheet-pipeline/SKILL.md

Metadata

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