OneKey-Models

OneKey-Models

One-click access to all 108 latest models on TokenDance
inside DeepSeek Harness

DSH Market 已收录

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Install · Features · What is TokenDance? · How it works · Testing · Video

--- **API support provided by [TokenDance](https://tokendance.space).** This plugin is an independent client of the TokenDance API platform; it is not affiliated with or endorsed by TokenDance. ## Install Clone the repository, then install it as a DSH bundle: ```bash git clone https://github.com/du-yuxuan/OneKey-Models.git ``` **In the DSH chat**, ask the agent to install it: ```text install_bundle target=/absolute/path/to/OneKey-Models ``` **Or with npm:** ```bash npm install onekey-models node /lib/bin.js plugin --profile add ./node_modules/onekey-models ``` Restart DeepSeek Harness (or the profile session) after installing. The settings page appears under **Settings → Plugins → OneKey-Models**. > Requires Node.js ≥ 22.19.0. Distributed through the DSH plugin markets, `install_bundle`, npm (`onekey-models`) and this GitHub repository — the same bundle from every channel. ## Features | | Feature | What it does | |---|---|---| | 1 | **API key management** | OAuth (PKCE) sign-in opens the TokenDance authorization page; the returned key is stored locally in DSH's credentials store and **never appears in source code or logs**. | | 2 | **Model list configuration** | Fetches the live catalog from `https://tokendance.space/gateway/v1/models`, lets you select multiple models, and choose which ones show up in the model picker (empty selection = show everything). | | 3 | **Special model configuration** | Image-generation models are wired to their matching application (`openai:image-generations` / `ark:image-generations`); Jev judgment models are wired to the `typesafe:systemone` protocol — plus video, speech, audio, music, search, embedding and rerank models. | | 4 | **Core capabilities** | Chat, image generation, video generation and multimodal (text + image) input work out of the box, exposed both to the model picker and as five agent tools (`tokendance_models`, `tokendance_chat`, `tokendance_image`, `tokendance_video`, `tokendance_jev`). | Enrichment data (logos, pricing, context windows, release dates, modalities) is synced automatically from [models.dev](https://models.dev). ### Catalog at a glance ``` catalog: 108 models from https://tokendance.space/gateway/v1/models jev 2 · image 3 · video 18 · embedding 2 · rerank 1 speech 3 · audio 3 · music 2 · search 3 routable 71 models ✓ catalog check passed (108 models, 71 routable) ``` `routable` = models whose protocol maps onto a DSH wire protocol (`openai-completions` / `openai-responses` / `anthropic-messages`) and therefore appear in the model picker. ## What is TokenDance? **TokenDance is an AI model aggregation gateway** — think of it as one front door to many large models: - **1 key, 1 base URL** — sign up once, get one API key, point any compatible SDK at one address. - **108 of the latest, hottest models** — GLM, DeepSeek, Kimi, Qwen, MiniMax, Seedance, Doubao and more, kept up to date. - **Pay as you go** — no per-vendor accounts, no juggling separate keys and billing pages. New to all this? The short version: instead of registering with a dozen AI vendors and copying a dozen keys, you register once with TokenDance and this plugin wires every model straight into DeepSeek Harness's model picker. This plugin does the wiring for you: **install → sign in once → pick your models → they appear in the picker.** ## How it works ```text ┌─────────────────┐ OAuth (PKCE) ┌──────────────────────┐ │ DeepSeek Harness │ ───────────────▶ │ tokendance.space │ │ OneKey-Models │ ◀─────────────── │ authorization page │ └────────┬────────┘ API key (local) └──────────────────────┘ │ ▲ │ write provider block │ GET /gateway/v1/models ▼ │ (live catalog) ┌─────────────────┐ │ │ llm-pi-ai │ ────────────────────────────────┘ │ providers. │ │ tokendance │ ──▶ model picker: 108 models, 71 routable └─────────────────┘ ``` 1. **Sign in** — the plugin opens the TokenDance authorization URL, receives a one-time code on a loopback callback, exchanges it for an API key, and stores it via DSH's credentials service (`~/.dsh/.credentials.yaml`, mode `600`). 2. **Pick models** — the live catalog is fetched, enriched with models.dev metadata, and written into the `llm-pi-ai` settings namespace as a provider block. 3. **Use them** — selected models show up in the model picker; image and Jev models additionally get dedicated tools, and any picture or video can be requested from a chat prompt. All local HTTP endpoints are guarded by a loopback + `sec-fetch-site` trust fence (inbound requests must come from the local origin, never a cross-site page). ## Testing ```bash npm test # 71 unit tests (node:test) npm run check:catalog # live catalog acceptance (108 models, 71 routable) ``` The unit suite covers config normalization, catalog mapping, the settings patch whitelist, Jev question validation, the five video protocols' submit-and-poll shapes, PKCE/OAuth URL construction, the trust fence, credential helpers, and the HTTP layer (exercised against a local stub gateway — no real key required). ## Video

Intro video poster

90-second intro (1920×1080, 30 fps) in nine scenes: the pain of a dozen keys, the gateway, the reveal, the three steps, the agent tools (image + video), Jev decisions, the install command, and the TokenDance credit. Rebuild it with npm run render inside video/. ## Plugin page The settings page shows the **“API support provided by TokenDance”** credit, the TokenDance brand mark, and a plain-language introduction of what TokenDance is. Sign-in, the balance card, redeem/top-up (as centered dialogs) and the model list all live on that one page. ## Agent tools Five tools are registered into the DSH agent registry, so a chat prompt such as *“generate a video of a whale swimming”* becomes a real call: | Tool | What it does | |---|---| | `tokendance_models` | Lists the live catalog, optionally filtered by capability (`image`, `video`, `chat`…) | | `tokendance_chat` | One message to one model, with optional images attached | | `tokendance_image` | Generates an image and returns it straight into the conversation | | `tokendance_video` | Submits a video task and polls it; resumable by `taskId` | | `tokendance_jev` | Asks a Jev model for typed decisions (yes/no + probability, choice, score) | A companion skill, **`tokendance-media`** (installed to `~/.agents/skills/`), teaches the agent which tool to reach for and how to read the `pending` / `taskId` outcomes. Each tool has its own on/off switch in the plugin's advanced settings. ## Repository layout ```text index.js Host half: settings, OAuth, catalog, HTTP routes, tools client.js Client half: settings page (slot + locale registration) src/ config, catalog, credentials, http, image, jev, oauth, patch, pi-ai, tools, trust, video (submit-and-poll for seedance / kling / minimax / wan3 / happyhorse) locale/ zh + en metadata test/ node:test suites scripts/ check-catalog.mjs, oauth-once.mjs logo/ brand assets video/ Remotion project out/ intro.mp4 + poster ``` ## License [MIT](LICENSE). “TokenDance” is a trademark of its respective owner; this project is not affiliated with or endorsed by TokenDance. The API access it configures is provided by TokenDance.