Execute RunAPI Model Tasks
RunAPI CLI is a command-line tool that executes RunAPI model tasks for AI image, video, and audio generation from terminals, servers, or CI pipelines.
Why it matters
Execute AI model tasks via the RunAPI CLI, enabling agents to generate images, video, and audio, run one-off jobs, and manage asynchronous tasks.
Outcomes
What it gets done
Generate AI images, videos, and music/audio using RunAPI models.
Submit and manage asynchronous RunAPI model tasks.
Pass JSON request bodies to RunAPI services.
Install and authenticate the RunAPI CLI for local or CI use.
Install
Add it to your toolbox
Run in your project directory:
curl -fsSL https://spark.entire.vc/get/ag-runapi-cli | bash Capabilities
What this skill does
Generate AI images, videos, and music/audio using RunAPI models.
Submit and manage asynchronous RunAPI model tasks.
Pass JSON request bodies to RunAPI services.
Install and authenticate the RunAPI CLI for local or CI use.
Overview
RunAPI CLI
What it does
A JSON-first command-line interface for running RunAPI model tasks-image generation, video creation, music synthesis-from any shell, server, or CI environment. Supports synchronous and async execution, environment-based authentication, SHA-256 checksum verification, and skill installation for agent runtimes.
How it connects
Use when you need to script RunAPI model calls from a terminal, automate media generation in a CI pipeline, pass JSON request bodies to RunAPI services, or wait for async task completion. Also use when you want to inspect CLI auth status or install the RunAPI CLI skill into another agent runtime.
Source README
RunAPI CLI
Overview
The runapi CLI is the execution layer for RunAPI model tasks. Use it when an agent needs to generate AI images, videos, or music/audio, run a one-off model job, pass a JSON request body, wait for an async task, or script RunAPI from a terminal, server, or CI job.
Source repository: github.com/runapi-ai/cli-skill (Apache-2.0)
When to Use This Skill
- Use when the user asks to run a RunAPI model from an agent.
- Use when the user needs to inspect RunAPI CLI auth or account status.
- Use when the user wants to pass JSON request bodies to RunAPI services.
- Use when the user wants to submit async RunAPI tasks and wait for completion.
- Use when the user wants to install the RunAPI CLI on a local machine, server, or CI runner.
Install
macOS / Linux
brew install runapi-ai/tap/runapi
Server / CI
Download the installer, inspect it, then run it locally.
curl -fsSL https://runapi.ai/cli/install.sh -o runapi-install.sh
less runapi-install.sh
sh runapi-install.sh
To pin a specific version:
sh runapi-install.sh --version v0.1.0
The installer detects OS and architecture, verifies the SHA-256 checksum from https://runapi.ai/cli/latest.json, and refuses to write the binary if verification fails.
Authentication
Treat RunAPI authentication and generation as security-sensitive: commands can call remote services, consume credits, and expose account state. Review installer scripts before running them and keep API keys in environment variables or stdin, not shell history.
Check the current state first:
runapi auth status
| Source | How |
|---|---|
| Environment | Read RUNAPI_API_KEY from the environment |
| Saved config | printf '%s' "$RUNAPI_API_KEY" | runapi auth import-token --token - |
| Browser login | runapi login only when the user explicitly wants browser auth |
RUNAPI_BASE_URL overrides the default base URL.
Avoid passing secrets directly in command arguments. Prefer RUNAPI_API_KEY or stdin token import with --token -.
Discover Services, Commands, and Fields
The CLI is JSON-first. Every service exposes typed commands, and each command documents its request fields through --help. Inspect command help before composing a request.
runapi --help
runapi suno --help
runapi suno text-to-music --help
Run a Model
Pass the request body as JSON through --input-file, --input, or stdin. The default flow is synchronous and polls until the task completes.
runapi suno text-to-music --input-file request.json
runapi suno text-to-music --async --input-file request.json
runapi wait <task-id> --service suno --action text-to-music
runapi get <task-id> --service suno --action text-to-music
JSON responses go to stdout; progress lines go to stderr. Pipe to jq for downstream parsing.
Account
runapi account info
runapi account balance
Install the Skill Into Another Agent Runtime
runapi agent install-skill --target claude
runapi agent install-skill --target codex
runapi agent install-skill --target gemini
runapi agent install-skill --target openclaw
runapi agent list-targets
runapi agent install-skill --target-dir <path>
Limitations
- RunAPI model calls require a valid RunAPI account or API key.
- Some model tasks are long-running and should use
--asyncplusrunapi wait. - Browser login is interactive and should not be the default path for agents.
- This skill does not replace model-specific parameter validation; inspect command help before building request JSON.
Security & Safety Notes
- Never paste API keys into example commands or PR text.
- Prefer
RUNAPI_API_KEYor stdin token import instead of command-line secrets. - Do not run interactive
runapi loginby default from an agent. - Check the CLI exit code before assuming a task succeeded.
References
- RunAPI CLI skill: https://github.com/runapi-ai/cli-skill
- RunAPI CLI repository: https://github.com/runapi-ai/cli
- RunAPI model catalog: https://runapi.ai/models.md
Discussion
Questions & comments · 0
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