Install
$ agentstack add skill-wesleysimplicio-wavespeedai-skills-hermes ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ● Network access Used
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
WaveSpeedAI
Unified inference gateway. Async-by-default with automatic polling. One API key, one CLI, one Python SDK for both media and LLM workloads.
Prerequisites
- macOS or Linux.
- Set
WAVESPEED_API_KEY(get one at https://wavespeed.ai/accesskey). - CLI installed at
~/.local/bin/wavespeed-cli(Python venv at~/.local/share/wavespeed-skill/venvwithwavespeed>=1.0.8). - If missing: `bash --wait
wavespeed-cli cancel
### Upload local asset
```bash
URL=$(wavespeed-cli upload /path/to/image.png)
echo "$URL" # https://wavespeed-cdn.../...
List models / balance
wavespeed-cli models --names-only # ids only
wavespeed-cli models --filter video # JSON, filtered
wavespeed-cli balance # account balance
LLM (OpenAI-compatible)
wavespeed-cli llm anthropic/claude-opus-4.6 "Summarize WaveSpeed in 10 words."
wavespeed-cli llm openai/gpt-5.2-pro "..." --system "Be terse."
wavespeed-cli llm google/gemini-3-flash-preview "..." --json-mode
wavespeed-cli llm deepseek/deepseek-v4 "..." --stream
wavespeed-cli llm meta-llama/llama-4-70b "..." --raw
Base URL: https://llm.wavespeed.ai/v1. Drop-in for any OpenAI client.
Python SDK
import wavespeed
out = wavespeed.run("wavespeed-ai/z-image/turbo", {"prompt": "Cat"})
print(out["outputs"][0])
# Tuning
out = wavespeed.run(model, payload, timeout=600.0, poll_interval=1.0, enable_sync_mode=False)
# Explicit client w/ retries
from wavespeed import Client
client = Client(api_key="...", max_retries=3, max_connection_retries=5, retry_interval=1.0)
# Upload
url = wavespeed.upload("/path/to/image.png")
Run scripts against the dedicated venv:
~/.local/share/wavespeed-skill/venv/bin/python myscript.py
Or ad-hoc:
uv run --with wavespeed python myscript.py
Serverless worker
import wavespeed.serverless as serverless
async def handler(job):
return {"output": job["input"]["prompt"].upper()}
serverless.start({"handler": handler})
Local dev:
python handler.py --test_input '{"input":{"prompt":"hi"}}'
python handler.py --waverless_serve_api --waverless_api_port 8000
Worker env: WAVERLESS_POD_ID, WAVERLESS_API_KEY, WAVERLESS_WEBHOOK_GET_JOB, WAVERLESS_WEBHOOK_POST_OUTPUT.
REST primitives
# Submit
curl -X POST "https://api.wavespeed.ai/api/v3/" \
-H "Authorization: Bearer $WAVESPEED_API_KEY" -H "Content-Type: application/json" \
-d '{...}'
# Poll
curl "https://api.wavespeed.ai/api/v3/predictions//result" \
-H "Authorization: Bearer $WAVESPEED_API_KEY"
Errors: 401 bad key, 429 rate-limited (back off), 400 schema mismatch, 402 insufficient balance.
Frequently-used uuids
| Family | uuid | Purpose | |---|---|---| | Z-Image | wavespeed-ai/z-image/turbo | fastest text→image | | FLUX | wavespeed-ai/flux-dev, wavespeed-ai/flux-pro | high-quality text→image | | FLUX LoRA | wavespeed-ai/flux-dev-lora | text→image w/ custom LoRA | | Seedance | wavespeed-ai/seedance-v2 | image→video | | Kling | wavespeed-ai/kling-v2.1 | image/text→video | | Veo | wavespeed-ai/veo-3, wavespeed-ai/veo-3-fast | text→video w/ audio | | Luma | wavespeed-ai/luma-dream-machine | text/image→video | | Wan | wavespeed-ai/wan-2.7 | text→video | | Qwen Image | wavespeed-ai/qwen-image-2 | text→image | | Higgsfield | wavespeed-ai/higgsfield-soul-id | identity-preserving portrait | | Audio | wavespeed-ai/ace-step | audio gen / edit | | LLM | anthropic/claude-opus-4.6, openai/gpt-5.2-pro, google/gemini-3-flash-preview | chat |
Live catalog: wavespeed-cli models --names-only.
Latency / cost knobs
--timeout 600for image,--timeout 1800for video. Default is 10h (too long for interactive).--poll-interval 0.5for fast image loops;1.0for video.--syncskips polling — only for sub-30s models.
Troubleshooting
401→ API key missing or revoked.402→ insufficient balance / tier locked.wavespeed-cli balance.429→ rate-limited; raiseretry_intervalor batch.400→ payload schema mismatch; check the model's page onwavespeed.ai/models.- Stuck job →
wavespeed-cli canceland re-submit with smaller--timeout.
References
- Docs: https://wavespeed.ai/docs
- Python SDK: https://github.com/WaveSpeedAI/wavespeed-python
- Models catalog: https://wavespeed.ai/models
- API key: https://wavespeed.ai/accesskey
- API base:
https://api.wavespeed.ai/api/v3 - LLM base:
https://llm.wavespeed.ai/v1 - Skill repo: https://github.com/wesleysimplicio/WaveSpeedAI-Skills
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: wesleysimplicio
- Source: wesleysimplicio/WaveSpeedAI-Skills
- License: MIT
- Homepage: https://wavespeed.ai
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.