tenstorrent

name: tenstorrent description: "Use Tenstorrent console.tenstorrent.com models across chat, image, video, TTS, and STT. Triggers: tenstorrent, 텐스토렌트, Torendissi, 토렌디시, Wan2.2, T2V, text-to-video, image jobs, SDXL, tt-sd3.5, tt-z-image-turbo, DeepSeek-R1, Qwen3, tts-1, whisper-large-v3." license: MIT compatibility: Requires internet access and a Tenstorrent console account / API key.

Tenstorrent console API — full model catalog v3

본 스킬의 SSoT. console.tenstorrent.com 는 OpenAI-compatible chat, async image/video jobs, and audio endpoints를 노출하거나 노출 예정인 inference surface로 다룬다.

Authentication

Use Authorization: Bearer <TENSTORRENT_KEY>.

export TENSTORRENT_KEY="your-api-key"

Do not commit real keys or .env files.

Model Catalog (15 models)

Chat (POST `/v1/chat/completions`)

Model ID	Notes
`deepseek-ai/DeepSeek-R1-0528`	reasoning model; final answer in `content`, reasoning trace may appear in `reasoning`.
`Qwen/Qwen3-32B`	default chat; thinking model; trace may appear in `reasoning` and `reasoning_content`.

curl -sS -X POST "https://console.tenstorrent.com/v1/chat/completions" \
  -H "Authorization: Bearer $TENSTORRENT_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "Qwen/Qwen3-32B",
    "messages": [{"role":"user","content":"한국어로 한 문장 인사해줘."}],
    "max_tokens": 256
  }'

Parsing priority: content > reasoning > reasoning_content.

Image (POST `/v1/image/jobs`)

Model ID	Notes
`sdxl`	default image model; 1024x1024; observed target cost around $0.02.
`tt-sd3.5`	Stable Diffusion 3.5.
`tt-z-image-turbo`	Z-Image Turbo.

curl -sS -X POST "https://console.tenstorrent.com/v1/image/jobs" \
  -H "Authorization: Bearer $TENSTORRENT_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "sdxl",
    "prompt": "a small robot smiling in a clean studio, soft light",
    "width": 1024,
    "height": 1024,
    "steps": 20
  }'

Poll GET /v1/image/jobs/{id} until status: completed, then download the returned presigned image URL immediately. Presigned artifact URLs expire.

Video (POST `/v1/video/jobs`)

Model ID	Notes
`Wan2.2-T2V-A14B-Diffusers`	default video; full model; ~5s 1280x720 output; observed target cost around $0.05.
`Prodia Wan 2.2 Lighting Text to Video`	distilled/Lightning display name from usage page.
`prodia/Wan2.2-T2V-A14B-Lightning`	Prodia Lightning literal.
`Wan2.2-T2V-A14B-Lighting-Diffusers`	usage-page spelling keeps `Lighting`.
`Wan2.2-T2V-A14B-Lightning`	Lightning literal.
`Wan2.2-T2V-A14B-Lightning-Diffusers`	Lightning Diffusers literal.
`Wan2.2-T2V-A14B-Lightning-Diffusers-FP8`	FP8 Lightning Diffusers literal.
`Wan2.2-T2V-Lightning`	short Lightning literal.

curl -sS -X POST "https://console.tenstorrent.com/v1/video/jobs" \
  -H "Authorization: Bearer $TENSTORRENT_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "Wan2.2-T2V-A14B-Diffusers",
    "prompt": "A serene Korean rice field at sunrise",
    "negative_prompt": "low quality, blurry, watermark"
  }'

Poll GET /v1/video/jobs/{id} until status: completed, then download video_url first, or the first non-empty returned presigned/artifact URL if video_url is absent. In live use, status: completed can appear briefly before an artifact URL; keep polling until a URL appears. If job creation returns no id, surface the API response body instead of replacing it with a generic error.

TTS

Model ID	Notes
`tts-1`	Endpoint discovery order: try OpenAI-compatible `POST /v1/audio/speech`, then `POST /v1/tts/jobs`. If both are unavailable, report a visible TBD instead of silently falling back.

Expected OpenAI-compatible body:

{"model":"tts-1","input":"안녕하세요","voice":"alloy"}

STT

Model ID	Notes
`whisper-large-v3`	Endpoint discovery: `POST /v1/audio/transcriptions` multipart upload with `file` and `model`. If unavailable, report visible TBD.

Prompt and Artifact Rules

Video prompt limit: keep prompts at or below 2000 characters.
Image default: sdxl, 1024x1024, 20 steps.
Video default: Wan2.2-T2V-A14B-Diffusers.
Audio defaults: tts-1, whisper-large-v3.
Presigned artifact URLs expire; download immediately into local output paths.
No silent fallback: if an endpoint is missing, report the missing endpoint explicitly.

CLI Companion

The companion CLI is aldegad/tenstorrent-cli.

tenstorrent
/model
/image a cat
/video A serene Korean rice field at sunrise
/tts 안녕하세요
/stt ./audio.wav

Source

Catalog source: console.tenstorrent.com inference usage page as captured for the 2026-05-18 v0.2 Torendissi patch, plus live CLI endpoint probes for image/video/audio behavior.