# dsh-draw-router **DeepSeek Harness 缺少生图能力？这个插件让它能。** **DeepSeek Harness (DSH) can't generate images? This plugin fixes that.** > 🐧 **Designed & built by 小哲** ([@xiaozhe7772222](https://github.com/xiaozhe7772222)) > > **Author:** 小哲 (xiaozhe7772222) 🐧 · **Maintainer:** 小哲 (xiaozhe7772222) 🐧 [](LICENSE) [](https://www.npmjs.com/package/@deepseek-ai/dsh) [](https://nodejs.org) [](https://github.com/xiaozhe7772222) [](https://github.com/xiaozhe7772222) 填一个 baseURL + API Key → 自动识别绘图模型 → 对话中直接生图 Add a baseURL + API Key → auto-detect image models → draw from chat
--- **English** | [中文](#中文文档) --- ## English ### The Problem **DeepSeek Harness (DSH)** is a powerful LLM agent framework, but it has **no built-in image generation capability**. You can't ask the agent to draw a picture, create a diagram, or generate a visual — it simply doesn't know how. **dsh-draw-router** solves this by acting as a **universal image generation router**. It registers `draw_image` and `draw_list_sources` as agent tools, so the DSH agent can generate images just like it runs bash commands — naturally, in conversation. ### ✨ Features | Feature | Description | |---|---| | 🎨 **Agent-native image gen** | DSH agent can draw images on demand — just ask "画一张图" | | 🔍 **Auto model discovery** | Enter any OpenAI-compatible `baseURL` + API key → plugin calls `GET /v1/models` and auto-detects image models (never hardcodes model names) | | 🏭 **Multi-provider** | SenseNova · StepFun · Agnes · Qwen · Tongyi Wanxiang · Jimeng/Seedream · Hunyuan · GPT Image · Flux · Stable Diffusion · Imagen · and any OpenAI-compatible endpoint | | 🎚️ **Manual model add** | For providers not exposing image models via `/v1/models`, add models manually | | 🔌 **REST API** | Add/remove/probe draw sources at runtime; draw via `POST /dsh-draw-router/draw` | | 💾 **Persistent config** | Sources persist to `draw-config.json`, survive restarts | | 🔒 **Key masking** | API responses never expose full API keys | ### 🧠 How it works ``` User: "帮我画一张流程图，展示API调用过程" │ ▼ Agent calls draw_image(source="sensenova", prompt="...") │ ▼ Plugin calls GET {baseURL}/v1/models → auto-detect image models │ ▼ Plugin calls POST {baseURL}/v1/images/generations │ ▼ Returns image URL → agent displays it in conversation ``` **Model detection works by name pattern matching** — no hardcoded model lists. The plugin recognizes 30+ patterns including `image`, `draw`, `generation`, `flux`, `sd-3`, `hunyuan`, `seedream`, `agnes-image`, `step-image`, `qwen-image`, `wan`, `imagen`, `gpt-image`, `dall`, `t2i`, `i2i` and more. Each provider's API quirks are handled automatically (per official docs): | Provider | Auto-detected models | Special handling | |---|---|---| | **SenseNova** (商汤) | `sensenova-u1-fast` | Standard OpenAI format | | **StepFun** (阶跃) | `step-image-edit-2`, `step-2x-large` | `steps`, `cfg_scale`, `negative_prompt` | | **Agnes** | `agnes-image-2.1-flash`, `2.0-flash` | `size` tiers `1K-4K`, `ratio` | | **TokenRhythm / Qwen** | Manual add | Standard OpenAI format | | **DashScope** (阿里云百炼) | `wanx-v1`, `wan2.6-t2i` | Async task + polling | | **GPT Image** | `gpt-image-1.5`, `dall-e-3` | Standard OpenAI format | | **Flux** | `flux-2-pro`, `flux.1-dev` | Standard OpenAI format | | **Stable Diffusion** | `sd-3.5-large`, `stable-image-ultra` | Standard OpenAI format | | **Hunyuan** (混元) | `hunyuan-image-3.0` | Standard OpenAI format | | **Seedream** (即梦/豆包) | `seedream-4.x` | Standard OpenAI format | | **Imagen** | `imagen-4` | Standard OpenAI format | ### 🏗️ Architecture ``` ┌─────────────────────────────────────────────────────────────┐ │ DeepSeek Harness (DSH) │ │ │ │ ┌─────────────────────────────────────────────────────┐ │ │ │ dsh-draw-router (plugin) │ │ │ │ │ │ │ │ ┌──────────────┐ ┌────────────────────────────┐ │ │ │ │ │ Agent Tools │ │ REST API (webServer) │ │ │ │ │ │ │ │ │ │ │ │ │ │ draw_image │ │ GET /dsh-draw-router/ │ │ │ │ │ │ draw_list_ │ │ sources │ │ │ │ │ │ sources │ │ POST /dsh-draw-router/ │ │ │ │ │ └──────┬───────┘ │ sources │ │ │ │ │ │ │ POST /dsh-draw-router/ │ │ │ │ │ │ │ draw │ │ │ │ │ ┌──────▼───────────────────────────────┐ │ │ │ │ │ Draw Router Core │ │ │ │ │ │ - Source registry (baseURL+apiKey) │ │ │ │ │ │ - Model discovery (GET /v1/models) │ │ │ │ │ │ - Pattern matching (30+ patterns) │ │ │ │ │ │ - Per-provider API adaptation │ │ │ │ │ │ - draw-config.json persistence │ │ │ │ │ └──────┬───────────────────────────────┘ │ │ │ │ │ │ │ │ └─────────┼──────────────────────────────────────────┘ │ │ ▼ │ │ ┌────────────────────────────────────────────────┐ │ │ │ Provider Image APIs │ │ │ │ SenseNova · StepFun · Agnes · Qwen · Flux ... │ │ │ └────────────────────────────────────────────────┘ │ └─────────────────────────────────────────────────────────────┘ ``` ### 📦 Installation Two installation methods are supported. #### Method A: File-based installation (推荐 / Recommended) Clone the repo and copy files: ```bash # 1. Clone git clone https://github.com/xiaozhe7772222/dsh-draw-router.git cd dsh-draw-router # 2. Copy plugin files mkdir -p ~/.dsh/profiles/web/plugins/dsh-draw-router cp -r lib package.json cordis.patch.yml ~/.dsh/profiles/web/plugins/dsh-draw-router/ # 3. Link to node_modules (so DSH bundle loader can find it) ln -sfn ../plugins/dsh-draw-router ~/.dsh/profiles/web/node_modules/dsh-draw-router # 4. Add to bundles in ~/.dsh/profiles/web/package.json # (add "dsh-draw-router" to the bundles array) ``` #### Method B: Terminal command installation (终端命令安装) Install directly via the DSH CLI: ```bash # If you have published the plugin to npm registry: cd ~/.dsh/profiles/web dsh plugin add dsh-draw-router --profile web # Or install from local package: dsh plugin add /path/to/dsh-draw-router --profile web ``` After either method, restart DSH: ```bash npx @deepseek-ai/dsh web ``` Verify it's working: ```bash # Check the HTTP server is up curl http://127.0.0.1:3080/dsh-draw-router/sources # Should return: {"sources":{}} ``` ### ⚙️ Configuration #### Option 1: Static config via `cordis.patch.yml` ```yaml - insert: - id: draw-router name: dsh-draw-router inject: [tools, webServer] config: sources: stepfun: baseUrl: https://api.stepfun.com/v1 apiKey: your-stepfun-key sensenova: baseUrl: https://token.sensenova.cn/v1 apiKey: your-sensenova-key agnes: baseUrl: https://apihub.agnes-ai.com/v1 apiKey: your-agnes-key ``` > **baseURL hint**: give the API root (e.g. `https://api.stepfun.com/v1`). The plugin appends `/images/generations` and `/models` automatically. #### Option 2: REST API (runtime) ```bash # Add a source (auto-probes models) curl -X POST http://127.0.0.1:3080/dsh-draw-router/sources \ -H 'Content-Type: application/json' \ -d '{"action":"add","name":"stepfun","baseUrl":"https://api.stepfun.com/v1","apiKey":"sk-xxx"}' # List sources + detected models curl http://127.0.0.1:3080/dsh-draw-router/sources # Add a manual model (for providers not exposing image models via /v1/models) curl -X POST http://127.0.0.1:3080/dsh-draw-router/sources \ -H 'Content-Type: application/json' \ -d '{"action":"addModel","name":"tokenrhythm","model":"qwen-image-2.0"}' # Generate an image curl -X POST http://127.0.0.1:3080/dsh-draw-router/draw \ -H 'Content-Type: application/json' \ -d '{"source":"sensenova","prompt":"a cute cat","size":"2048x2048"}' ``` ### 🔌 REST API Reference | Endpoint | Method | Body | Description | |---|---|---|---| | `/dsh-draw-router/sources` | GET | — | List all sources + detected image models | | `/dsh-draw-router/sources` | POST | `{action:"add", name, baseUrl, apiKey}` | Add a source & probe models | | `/dsh-draw-router/sources` | POST | `{action:"remove", name}` | Remove a source | | `/dsh-draw-router/sources` | POST | `{action:"probe", name}` | Re-probe models | | `/dsh-draw-router/sources` | POST | `{action:"addModel", name, model}` | Add a manual model | | `/dsh-draw-router/sources` | POST | `{action:"removeModel", name, model}` | Remove a model | | `/dsh-draw-router/draw` | POST | `{source, prompt, model?, size?, ratio?, n?, response_format?}` | Generate an image | ### 🛠️ Troubleshooting (故障排查) #### Installation issues (安装问题) **1. `cannot resolve profile bundle "dsh-draw-router"`** > running `dsh web` fails with this during boot. The bundle loader can't find the plugin. Fix: ```bash # Ensure the symlink exists ln -sfn ../plugins/dsh-draw-router ~/.dsh/profiles/web/node_modules/dsh-draw-router # And confirm "dsh-draw-router" is in the bundles array of package.json # (as a string, NOT as an object) ``` **2. `failed to apply loader entry draw-router: unsupported JSON schema`** > Plugin loads but the agent tool schema fails validation. This happens if you modified the source. The `output.schema` must include `additionalProperties: false` (or `true`), and optional parameters must **not** have `required: false`. Use the shipped `lib/index.js` as-is. **3. Plugin loads but `draw_image` tool is not in chat** > Agent can't see the draw tools. The `tools` service must be available. Check `inject: [tools, webServer]` in `cordis.patch.yml` is intact, then restart DSH. Also verify with: ```bash cd ~ && DSH_SKINS_DIR=... npx -y @deepseek-ai/dsh --profile web --dump-config 2>/dev/null | grep -A3 draw-router ``` #### Runtime issues (运行问题) **4. Adding a source returns `imageModels: []`** > Auto-detection found no draw models. Some providers (e.g. TokenRhythm) don't expose image models via `/v1/models` — only chat models. Fix: add models manually. ```bash curl -X POST http://127.0.0.1:3080/dsh-draw-router/sources \ -H 'Content-Type: application/json' \ -d '{"action":"addModel","name":"tokenrhythm","model":"qwen-image-2.0"}' ``` **5. Draw fails with HTTP 402 / quota_exceeded** > The provider account has no balance. This is an **account billing issue**, not a plugin bug. Top up the provider account or switch to another source: ```bash curl -X POST http://127.0.0.1:3080/dsh-draw-router/draw \ -H 'Content-Type: application/json' \ -d '{"source":"sensenova","prompt":"a cat","size":"2048x2048"}' ``` **6. Draw fails with `field Size invalid`** > The size value isn't supported by the provider's model. Different providers support different sizes: - **SenseNova** `sensenova-u1-fast`: `2048x2048`, `1664x2496`, `2752x1536`, etc. - **StepFun**: `1024x1024`, `768x768`, `1280x800` - **Agnes**: `1K`/`2K`/`3K`/`4K` + `ratio` If in doubt, omit `size` and let the provider use its default. **7. Draw fails with HTTP 401 / 403** > The API key is invalid or missing. Check the source's key via the masked value, and re-add with the correct key: ```bash curl -X POST http://127.0.0.1:3080/dsh-draw-router/sources \ -H 'Content-Type: application/json' \ -d '{"action":"remove","name":"bad-source"}' # then add again with correct apiKey ``` **8. Requests time out** > Large images or slow providers can take 30-120s. The plugin uses a 120s request timeout. If your provider is slow, retry once — image generation naturally takes time. **9. Settings card not visible in Web UI** > The plugin works (REST API responds) but no settings card shows. Client bundles load from `lib/client.js`. Make sure: - `package.json` has `"client": { "platform": "web" }` - Restart DSH with a clean cache (hard refresh browser: Ctrl+Shift+R) - If it still fails, the plugin's **server-side tools still work** — configure via REST API instead. **10. `draw-config.json` corrupted** > Persistence file is broken after a crash. Delete it and restart — sources configured via `cordis.patch.yml` will reload, and you can re-add runtime sources. ### 🗂️ Project structure ``` dsh-draw-router/ ├── lib/ │ ├── index.js # Server: model discovery, draw logic, agent tools, REST API │ └── client.js # Client: settings panel card (optional) ├── package.json # Package metadata + DSH bundle declaration ├── cordis.patch.yml # Static config example ├── draw-config.json # Runtime persistence (gitignored) ├── README.md ├── CHANGELOG.md └── LICENSE ``` ### 🏷️ Topics `deepseek-harness` · `dsh` · `dsh-plugin` · `draw` · `image-generation` · `text-to-image` · `sensenova` · `stepfun` · `agnes` · `qwen` · `wanxiang` · `tongyi` · `flux` · `imagen` · `stable-diffusion` · `hunyuan` · `seedream` · `jimeng` · `doubao` · `gpt-image` · `dall-e` · `openai` · `midjourney` · `kling` · `cogview` ### 📄 License MIT License — free to use, modify, distribute. **Never commit your real API keys to a public repo.** --- ## 中文文档 ### 问题 **DeepSeek Harness (DSH)** 是一个强大的 LLM Agent 框架，但它**没有内置的生图能力**。你无法让 agent 画图、创建图表或生成视觉内容——它根本不会。 **dsh-draw-router** 作为一个**统一的图像生成路由器**解决了这个问题。它向 DSH agent 注册了 `draw_image` 和 `draw_list_sources` 工具，让 agent 像执行 bash 命令一样自然地生图——在对话中一句话就够了。 ### ✨ 功能特性 | 功能 | 说明 | |---|---| | 🎨 **Agent 原生生图** | Agent 可按需生图——一句"画一张图"即可 | | 🔍 **自动识别模型** | 填入任意 OpenAI 兼容的 `baseURL` + API Key → 插件调用 `GET /v1/models` 自动识别绘图模型（不预设模型名） | | 🏭 **多厂商支持** | 商汤 · 阶跃 · Agnes · 千问 · 通义万相 · 即梦/Seedream · 混元 · GPT Image · Flux · Stable Diffusion · Imagen · 以及任意 OpenAI 兼容端点 | | 🎚️ **手动添加模型** | 对于不通过 `/v1/models` 暴露绘图模型的厂商，可手动添加模型 | | 🔌 **REST API** | 运行时增删绘图源、探测模型、直接生图 | | 💾 **配置持久化** | 绘图源持久化到 `draw-config.json`，重启后依然有效 | | 🔒 **Key 脱敏** | API 响应永不暴露完整 API Key | ### 🧠 工作原理 ``` 用户: "帮我画一张流程图，展示API调用过程" │ ▼ Agent 调用 draw_image(source="sensenova", prompt="...") │ ▼ 插件调用 GET {baseURL}/v1/models → 自动识别绘图模型 │ ▼ 插件调用 POST {baseURL}/v1/images/generations │ ▼ 返回图片 URL → agent 在对话中展示图片 ``` **模型识别通过名称关键词匹配**——没有硬编码模型列表。插件识别 30+ 种模式，包括 `image`、`draw`、`generation`、`flux`、`sd-3`、`hunyuan`、`seedream`、`agnes-image`、`step-image`、`qwen-image`、`wan`、`imagen`、`gpt-image`、`dall`、`t2i`、`i2i` 等。 每个厂商的 API 差异按官方文档自动处理： | 厂商 | 自动识别的模型 | 特殊处理 | |---|---|---| | **商汤 SenseNova** | `sensenova-u1-fast` | 标准 OpenAI 格式 | | **阶跃 StepFun** | `step-image-edit-2`, `step-2x-large` | `steps`, `cfg_scale`, `negative_prompt` | | **Agnes** | `agnes-image-2.1-flash`, `2.0-flash` | `size` 档位 `1K-4K`, `ratio` | | **TokenRhythm / 千问** | 手动添加 | 标准 OpenAI 格式 | | **阿里云百炼 DashScope** | `wanx-v1`, `wan2.6-t2i` | 异步任务 + 轮询 | | **GPT Image** | `gpt-image-1.5`, `dall-e-3` | 标准 OpenAI 格式 | | **Flux** | `flux-2-pro`, `flux.1-dev` | 标准 OpenAI 格式 | | **Stable Diffusion** | `sd-3.5-large`, `stable-image-ultra` | 标准 OpenAI 格式 | | **腾讯混元** | `hunyuan-image-3.0` | 标准 OpenAI 格式 | | **即梦/豆包/Seedream** | `seedream-4.x` | 标准 OpenAI 格式 | | **Google Imagen** | `imagen-4` | 标准 OpenAI 格式 | ### 🏗️ 系统架构 ``` ┌─────────────────────────────────────────────────────────────┐ │ DeepSeek Harness (DSH) │ │ │ │ ┌─────────────────────────────────────────────────────┐ │ │ │ dsh-draw-router（插件） │ │ │ │ │ │ │ │ ┌──────────────┐ ┌────────────────────────────┐ │ │ │ │ │ Agent 工具 │ │ REST API (webServer) │ │ │ │ │ │ │ │ │ │ │ │ │ │ draw_image │ │ GET /dsh-draw-router/ │ │ │ │ │ │ draw_list_ │ │ sources │ │ │ │ │ │ sources │ │ POST /dsh-draw-router/ │ │ │ │ │ └──────┬───────┘ │ sources │ │ │ │ │ │ │ POST /dsh-draw-router/ │ │ │ │ │ │ │ draw │ │ │ │ │ ┌──────▼───────────────────────────────┐ │ │ │ │ │ 绘图路由器核心 │ │ │ │ │ │ - 绘图源注册表 (baseURL+apiKey) │ │ │ │ │ │ - 模型发现 (GET /v1/models) │ │ │ │ │ │ - 模式匹配 (30+ 种模式) │ │ │ │ │ │ - 厂商专属 API 适配 │ │ │ │ │ │ - draw-config.json 持久化 │ │ │ │ │ └──────┬───────────────────────────────┘ │ │ │ │ │ │ │ │ └─────────┼──────────────────────────────────────────┘ │ │ ▼ │ │ ┌────────────────────────────────────────────────┐ │ │ │ 厂商图像 API │ │ │ │ 商汤 · 阶跃 · Agnes · 千问 · Flux ... │ │ │ └────────────────────────────────────────────────┘ │ └─────────────────────────────────────────────────────────────┘ ``` ### 📦 安装 支持两种安装方式。 #### 方式一：文件安装（推荐） 克隆仓库并复制文件： ```bash # 1. 克隆 git clone https://github.com/xiaozhe7772222/dsh-draw-router.git cd dsh-draw-router # 2. 复制插件文件 mkdir -p ~/.dsh/profiles/web/plugins/dsh-draw-router cp -r lib package.json cordis.patch.yml ~/.dsh/profiles/web/plugins/dsh-draw-router/ # 3. 软链到 node_modules（让 DSH bundle 加载器能找到） ln -sfn ../plugins/dsh-draw-router ~/.dsh/profiles/web/node_modules/dsh-draw-router # 4. 在 ~/.dsh/profiles/web/package.json 的 bundles 数组中添加 "dsh-draw-router" ``` #### 方式二：终端命令安装 通过 DSH CLI 直接安装： ```bash # 如果插件已发布到 npm registry： cd ~/.dsh/profiles/web dsh plugin add dsh-draw-router --profile web # 或从本地包安装： dsh plugin add /path/to/dsh-draw-router --profile web ``` 两种方式任选其一后，重启 DSH： ```bash npx @deepseek-ai/dsh web ``` 验证是否安装成功： ```bash # 检查 HTTP 服务 curl http://127.0.0.1:3080/dsh-draw-router/sources # 应返回：{"sources":{}} ``` ### ⚙️ 配置说明 #### 方式一：静态配置（cordis.patch.yml） ```yaml - insert: - id: draw-router name: dsh-draw-router inject: [tools, webServer] config: sources: stepfun: baseUrl: https://api.stepfun.com/v1 apiKey: your-stepfun-key sensenova: baseUrl: https://token.sensenova.cn/v1 apiKey: your-sensenova-key agnes: baseUrl: https://apihub.agnes-ai.com/v1 apiKey: your-agnes-key ``` > **baseURL 提示**：填 API 根地址（如 `https://api.stepfun.com/v1`）。插件会自动补全 `/images/generations` 和 `/models`。 #### 方式二：REST API（运行时） ```bash # 添加绘图源（自动探测模型） curl -X POST http://127.0.0.1:3080/dsh-draw-router/sources \ -H 'Content-Type: application/json' \ -d '{"action":"add","name":"stepfun","baseUrl":"https://api.stepfun.com/v1","apiKey":"sk-xxx"}' # 列出绘图源 + 已识别的模型 curl http://127.0.0.1:3080/dsh-draw-router/sources # 手动添加模型（用于不通过 /v1/models 暴露绘图模型的厂商） curl -X POST http://127.0.0.1:3080/dsh-draw-router/sources \ -H 'Content-Type: application/json' \ -d '{"action":"addModel","name":"tokenrhythm","model":"qwen-image-2.0"}' # 直接生图 curl -X POST http://127.0.0.1:3080/dsh-draw-router/draw \ -H 'Content-Type: application/json' \ -d '{"source":"sensenova","prompt":"一只可爱的猫","size":"2048x2048"}' ``` ### 🔌 REST API 参考 | 端点 | 方法 | Body | 说明 | |---|---|---|---| | `/dsh-draw-router/sources` | GET | — | 列出所有绘图源 + 已识别的绘图模型 | | `/dsh-draw-router/sources` | POST | `{action:"add", name, baseUrl, apiKey}` | 添加绘图源并探测模型 | | `/dsh-draw-router/sources` | POST | `{action:"remove", name}` | 移除绘图源 | | `/dsh-draw-router/sources` | POST | `{action:"probe", name}` | 重新探测模型 | | `/dsh-draw-router/sources` | POST | `{action:"addModel", name, model}` | 手动添加模型 | | `/dsh-draw-router/sources` | POST | `{action:"removeModel", name, model}` | 移除模型 | | `/dsh-draw-router/draw` | POST | `{source, prompt, model?, size?, ratio?, n?, response_format?}` | 生成图片 | ### 🛠️ 故障排查 #### 安装问题 **1. 启动报错 `cannot resolve profile bundle "dsh-draw-router"`** > 启动 DSH 时 bundle 加载器找不到插件。 解决： ```bash # 确保软链存在 ln -sfn ../plugins/dsh-draw-router ~/.dsh/profiles/web/node_modules/dsh-draw-router # 确认 package.json 的 bundles 数组中有 "dsh-draw-router"（字符串格式，不是对象） ``` **2. 启动报错 `unsupported JSON schema`** > 插件加载时工具 schema 验证失败。 说明你修改了源码。`output.schema` 必须包含 `additionalProperties: false`（或 `true`），可选参数**不能**有 `required: false`。请使用原版 `lib/index.js`。 **3. 插件加载成功但 `draw_image` 工具不可用** > Agent 看不到绘图工具。 检查 `cordis.patch.yml` 中的 `inject: [tools, webServer]` 是否完整，然后重启 DSH。也可通过以下命令验证： ```bash cd ~ && DSH_SKINS_DIR=... npx -y @deepseek-ai/dsh --profile web --dump-config 2>/dev/null | grep -A3 draw-router ``` #### 运行问题 **4. 添加绘图源后返回 `imageModels: []`** > 自动探测没有找到绘图模型。 有些厂商（如 TokenRhythm）不通过 `/v1/models` 暴露绘图模型。解决：手动添加模型。 ```bash curl -X POST http://127.0.0.1:3080/dsh-draw-router/sources \ -H 'Content-Type: application/json' \ -d '{"action":"addModel","name":"tokenrhythm","model":"qwen-image-2.0"}' ``` **5. 生图失败 HTTP 402 / quota_exceeded** > 厂商账户余额不足。 这是**账户计费问题**，不是插件 bug。给厂商充值或切换到其他绘图源： ```bash curl -X POST http://127.0.0.1:3080/dsh-draw-router/draw \ -H 'Content-Type: application/json' \ -d '{"source":"sensenova","prompt":"一只猫","size":"2048x2048"}' ``` **6. 生图失败 `field Size invalid`** > 尺寸参数不被该厂商的模型支持。 不同厂商支持的尺寸不同： - **商汤** `sensenova-u1-fast`：`2048x2048`、`1664x2496`、`2752x1536` 等 - **阶跃**：`1024x1024`、`768x768`、`1280x800` - **Agnes**：`1K`/`2K`/`3K`/`4K` + `ratio` 如果不确定，省略 `size` 让厂商使用默认值。 **7. 生图失败 HTTP 401 / 403** > API Key 无效或缺失。 通过脱敏值检查源 Key，重新添加正确的 Key： ```bash curl -X POST http://127.0.0.1:3080/dsh-draw-router/sources \ -H 'Content-Type: application/json' \ -d '{"action":"remove","name":"bad-source"}' # 然后用正确的 Key 重新添加 ``` **8. 请求超时** > 大图或慢厂商可能需要 30-120 秒。 插件使用 120 秒请求超时。如果厂商较慢，可重试一次——生图本身需要时间。 **9. 设置面板不显示** > REST API 正常工作但设置卡片不显示。 Client bundle 从 `lib/client.js` 加载。确保： - `package.json` 有 `"client": { "platform": "web" }` - 重启 DSH 后浏览器硬刷新（Ctrl+Shift+R） - 如果仍然不显示，**插件的服务端功能仍然正常**——通过 REST API 配置即可。 **10. `draw-config.json` 损坏** > 崩溃后持久化文件损坏。 删除后重启——通过 `cordis.patch.yml` 配置的源会重新加载，运行时添加的源重新添加即可。 ### 🗂️ 项目结构 ``` dsh-draw-router/ ├── lib/ │ ├── index.js # 服务端：模型发现、绘图逻辑、agent 工具、REST API │ └── client.js # 客户端：设置面板卡片（可选） ├── package.json # 包元数据 + DSH bundle 声明 ├── cordis.patch.yml # 静态配置示例 ├── draw-config.json # 运行时持久化（已 gitignore） ├── README.md ├── CHANGELOG.md └── LICENSE ``` ### 🏷️ 标签 (Topics) `deepseek-harness` · `dsh` · `dsh-plugin` · `draw` · `image-generation` · `text-to-image` · `sensenova` · `stepfun` · `agnes` · `qwen` · `wanxiang` · `tongyi` · `flux` · `imagen` · `stable-diffusion` · `hunyuan` · `seedream` · `jimeng` · `doubao` · `gpt-image` · `dall-e` · `openai` · `midjourney` · `kling` · `cogview` ### 📄 许可证 MIT License — 自由使用、修改、分发。**请勿将你的真实 API Key 提交到公开仓库。**Review
Why we picked it
Pending human review — the facts below come from the source repository.
What it does
Universal image generation router for DeepSeek Harness (DSH): auto-discovers image models from any OpenAI-compatible endpoint. Supports SenseNova, StepFun, Agnes, Qwen, Flux, SD, Imagen and more. | DeepSeek Harness 统一绘图路由器
Who it’s for
Users who want this capability in DSH; check the source and docs before installing.
Risks & caveats
- No strong risk signals; still worth a source look before installing.