Generate and edit video with Luma through RunAPI. Use when the user asks an agent to create, edit, or transform video with Luma. Default to the RunAPI CLI for one-off generation; use SDKs only when the user is integrating RunAPI into an app or backend.
Scanned 6/4/2026
Install via CLI
openskills install runapi-ai/luma---
name: luma
description: Generate and edit video with Luma through RunAPI. Use when the user asks an agent to create, edit, or transform video with Luma. Default to the RunAPI CLI for one-off generation; use SDKs only when the user is integrating RunAPI into an app or backend.
documentation: https://runapi.ai/models/luma.md
provider_page: https://runapi.ai/providers/luma.md
catalog: https://runapi.ai/models.md
metadata:
openclaw:
homepage: https://runapi.ai/models/luma
requires:
bins:
- runapi
install:
- kind: brew
formula: runapi-ai/tap/runapi
bins:
- runapi
envVars:
- name: RUNAPI_API_KEY
required: false
description: Optional RunAPI API key; agents should prefer environment auth or saved CLI config. Browser login is interactive fallback only.
---
# Luma on RunAPI
Generate and edit video with Luma through RunAPI. The default path for one-off agent tasks is the `runapi` CLI; SDKs are for application integration.
## Routing decision
- One-off generation, editing, or transformation for the user → use the **CLI path** with the `runapi` binary.
- Building an app, backend, worker, library, or production codebase → use the **SDK integration path**.
## CLI path
The `runapi` binary is the runtime dependency. Run `runapi auth status` first. For agents and headless runs, prefer `RUNAPI_API_KEY` or import it into saved config with `printf '%s' "$RUNAPI_API_KEY" | runapi auth import-token --token -`. Use `runapi login` only when the user explicitly wants interactive browser auth.
Inspect the available commands and request fields with CLI help:
```shell
runapi luma --help
runapi luma modify-video --help
```
Run a one-off task (synchronous — polls until the task completes):
```shell
runapi luma modify-video --input-file request.json
```
Submit asynchronously and poll separately:
```shell
runapi luma modify-video --async --input-file request.json
runapi wait <task-id> --service luma --action modify-video
```
Available commands: `modify-video`.
## SDK integration path
When integrating Luma into an app, backend, worker, or library — not for one-off tasks — use a RunAPI SDK package:
- JavaScript / TypeScript: `@runapi.ai/luma`
- Ruby: `runapi-luma`
- Go: `github.com/runapi-ai/luma-sdk/go`
## References
- Model overview, pricing, and rate limits: https://runapi.ai/models/luma.md
- Provider comparison: https://runapi.ai/providers/luma.md
- Full model catalog: https://runapi.ai/models.md
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