| name | wavespeed |
| description | WaveSpeedAI inference gateway — 700+ media models and 290+ OpenAI-compatible LLMs through one API key. Use for AI media generation (image/video/audio/avatar) and for cheap proxied LLM calls (Claude/GPT/Gemini/Llama). |
WaveSpeedAI (Cursor)
When to invoke
- User asks for image / video / audio / avatar generation.
- User mentions any
wavespeed-ai/* uuid.
- User wants to upload a local file as input for image-to-X.
- User wants to call Claude/GPT/Gemini/Llama via the WaveSpeed LLM proxy.
Setup
export WAVESPEED_API_KEY="ws_..."
CLI shim: ~/.local/bin/wavespeed-cli (run install.sh from the repo if missing).
CLI cheatsheet
wavespeed-cli run wavespeed-ai/z-image/turbo '{"prompt":"Cat"}'
URL=$(wavespeed-cli upload ./input.png)
wavespeed-cli run wavespeed-ai/seedance-v2 '{"image":"'"$URL"'","prompt":"camera dolly"}'
wavespeed-cli submit wavespeed-ai/veo-3 '{"prompt":"..."}' --webhook-url https://app/cb
wavespeed-cli result <id> --wait
wavespeed-cli models --names-only
wavespeed-cli balance
wavespeed-cli llm anthropic/claude-opus-4.6 "Summarize in one sentence."
Output URLs live at .outputs[] of the printed JSON.
Python (one-off)
import wavespeed
out = wavespeed.run("wavespeed-ai/z-image/turbo", {"prompt": "Cat"})
print(out["outputs"][0])
Refs
