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tenstorrent

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.

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Dépôt
aldegad/tenstorrent
Dernière activité de la source
6 octobre 2026 à 04:59
Langue détectée de SKILL.md
anglais
Étoiles
15
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4

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SKILL.md
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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>`. ```bash 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`. | ```bash 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. | ```bash 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. | ```bash 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: ```json {"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`. ```bash 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.
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