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Runware Api

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LayrKits
runware-api

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.

Overview

PublisherLayrKits
RepositorySprite-Pipeline
Skill namerunware-api
Stars
595
Forks
61
Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by LayrKits on GitHub. Read the source before you install it.

Installation

Install the Runware Api AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/LayrKits/Sprite-Pipeline/tree/main/skills/runware-api
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/LayrKits/Sprite-Pipeline.git /tmp/Sprite-Pipeline
mkdir -p .claude/skills
cp -r /tmp/Sprite-Pipeline/skills/runware-api .claude/skills/runware-api
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Runware Api in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Runware Api on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Runware Api is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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:

bash
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:
json
[
  {
    "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.

Frequently asked questions

What does the Runware Api AI skill do?

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.

Why use Runware Api on TypingMind?

Because you install it once and use it with any model. Runware Api is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Runware Api in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/LayrKits/Sprite-Pipeline/tree/main/skills/runware-api. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Runware Api?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Runware Api?

As many as you like. As long as a model supports skills, you can use Runware Api with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Runware Api AI skill free?

It is published on GitHub by LayrKits. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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