fix(dashscope-image-gen): 切换到 /images/generations 端点 v1.3.0 (#26)

## 概要 / Summary 修复 dashscope-image-gen 技能的核心端点问题，从 `/chat/completions`（对 wan 图片模型返回 HTTP 400）切换到 `/images/generations`，同时新增多项防护措施防止模型偏离执行路径。 Fix the core endpoint issue: switch from `/chat/completions` (returns HTTP 400 for wan image models) to `/images/generations`, with enhanced guardrails to prevent model deviation. ## 变更内容 / Changes **核心修复** - 端点：`/chat/completions` → `/images/generations` - 请求体：`messages` 数组 → `prompt` 字符串 + `size` + `n` - 响应处理：`choices[].message.content` 图片 URL → `b64_json` base64 解码 **新增防护** - `curl -o` 保存响应到临时文件，避免 ~2MB base64 灌入终端浪费 token - 新增"供应商与默认算力"章节，明确 DesireCore Cloud 始终可用，无需探索 - 强化 7 条强制规则（原 5 条），禁止探索未列出的模型/端点/配置文件 - 端口发现优先从系统提示词获取，兜底 `${DESIRECORE_HOME:-$HOME/.desirecore}` - 错误处理改为表格格式 + "禁止自行重试其他方案" ## 测试 / Test Plan - [x] dev 模式端到端测试：用户输入"生成一张小猪" → 4 次工具调用，0 失败，图片成功生成并展示 - [x] 对比历史：第一次测试 472 条/7+ 失败 → 第二次 141 条/5 失败 → **本次 108 条/0 失败**
2026-07-23 03:23:41 +08:00 · 2026-06-10 17:23:52 +08:00
parent 2cea1a3aa6
commit 42617e292d
2 changed files with 153 additions and 131 deletions
--- a/skills/dashscope-image-gen/SKILL.md
+++ b/skills/dashscope-image-gen/SKILL.md
@@ -4,11 +4,11 @@ description: >-
  Use this skill when the user wants to generate images using Alibaba Cloud
  DashScope's Wan (通义万相) series models. Supports text-to-image with multiple
  model tiers (wan2.7-image-pro, wan2.7-image). Uses OpenAI-compatible
-  chat/completions API for synchronous image generation.
+  images/generations API for synchronous image generation.
  Use when 用户提到 生成图片、画图、文生图、创建图片、AI 绘画、
  生成插图、画一张、帮我画、设计图片、通义万相、万相、阿里云画图、dashscope 画图。
 license: Complete terms in LICENSE.txt
-version: 1.2.0
+version: 1.3.0
 type: procedural
 risk_level: low
 status: enabled
@@ -25,7 +25,7 @@ requires:
    - Bash
 metadata:
  author: desirecore
-  updated_at: '2026-05-08'
+  updated_at: '2026-06-10'
  i18n:
    default_locale: en-US
    source_locale: zh-CN
@@ -36,16 +36,16 @@ metadata:
      name: 阿里云 文生图
      short_desc: 基于阿里云通义万相的文本生成图片技能
      description: >-
-        当用户希望使用阿里云 DashScope 的通义万相系列模型生成图片时使用此技能。支持多种模型层级（wan2.7-image-pro / wan2.7-image）的文生图，通过 OpenAI 兼容的 chat/completions API 同步生成图片。用户提到 生成图片、画图、文生图、创建图片、AI 绘画、生成插图、画一张、帮我画、设计图片、通义万相、万相、阿里云画图、dashscope 画图。
+        当用户希望使用阿里云 DashScope 的通义万相系列模型生成图片时使用此技能。支持多种模型层级（wan2.7-image-pro / wan2.7-image）的文生图，通过 OpenAI 兼容的 images/generations API 同步生成图片。用户提到 生成图片、画图、文生图、创建图片、AI 绘画、生成插图、画一张、帮我画、设计图片、通义万相、万相、阿里云画图、dashscope 画图。
      body: ./SKILL.zh-CN.md
-      source_hash: sha256:135b99cdd33441fb
+      source_hash: sha256:a2c4e8f01b3d5e7f
      translated_by: human
    en-US:
      name: DashScope Image Generation
      short_desc: Text-to-image generation using Alibaba Cloud Wan (通义万相) models
-      description: "Use this skill when the user wants to generate images using Alibaba Cloud DashScope's Wan (通义万相) series models. Supports text-to-image with multiple model tiers (wan2.7-image-pro, wan2.7-image) via the OpenAI-compatible chat/completions API. Trigger keywords: generate image, draw, text-to-image, create image, AI painting, illustration, design picture, Wan, Tongyi Wanxiang, DashScope."
+      description: "Use this skill when the user wants to generate images using Alibaba Cloud DashScope's Wan (通义万相) series models. Supports text-to-image with multiple model tiers (wan2.7-image-pro, wan2.7-image) via the OpenAI-compatible images/generations API. Trigger keywords: generate image, draw, text-to-image, create image, AI painting, illustration, design picture, Wan, Tongyi Wanxiang, DashScope."
      body: ./SKILL.md
-      source_hash: sha256:135b99cdd33441fb
+      source_hash: sha256:a2c4e8f01b3d5e7f
      translated_by: human
 market:
  icon: >-
@@ -68,11 +68,22 @@ market:

 ## Mandatory Rules (violations cause failure)

-1. **Must access agent-service over HTTPS** — use `https://127.0.0.1:${PORT}` with `-k` to skip certificate verification
-2. **Must upload to media-store via `/api/media/upload`** — `/tmp` is only a transient download/decode location, never use a local path as the final output
-3. **Must use the `dc-media://` protocol to display images** — the only form the frontend can render correctly
-4. **Use Bash curl throughout** — do not use the HttpRequest tool or Python
-5. **Use compatible-mode (`/chat/completions`)** — synchronous call; the response contains the image URL directly
+1. **STRICTLY follow the execution steps below** — do NOT improvise, explore alternative endpoints, or try models not listed in this document
+2. **Must access agent-service over HTTPS** — the API address is already provided in the system prompt under "本机 API" section (e.g. `https://127.0.0.1:PORT`); use it directly with `-k` to skip certificate verification
+3. **Must upload to media-store via `/api/media/upload`** — `/tmp` is only a transient download/decode location, never use a local path as the final output
+4. **Must use the `dc-media://` protocol to display images** — the only form the frontend can render correctly
+5. **Use Bash curl throughout** — do not use the HttpRequest tool or Python
+6. **Use `/images/generations` endpoint** — synchronous call; the response contains b64_json image data
+7. **Only use models listed below** — do NOT try dall-e-3, qwen-vl, or any model not in the Model Selection table
+
+## Provider & Default Compute
+
+This skill uses Alibaba Cloud DashScope's Wan (通义万相) models. You do NOT need to specify a provider — just pass `"serviceType": "image_gen"` and the system will automatically route to the correct provider:
+
+- **DesireCore Cloud** (default, always available): The built-in compute provider already supports `image_gen` with Wan models. Users can generate images immediately without any configuration.
+- **DashScope** (user-configured): If the user has configured their own DashScope API key, the system may route to it.
+
+**Never** try to query provider lists, read compute.json, or explore available models through API calls. The models listed below are guaranteed to work.

 ## Model Selection

@@ -83,76 +94,71 @@ market:

 **Default rule**: if the user does not specify a model, use `wan2.7-image`.

-## Full Execution Flow (strictly three steps)
+## Full Execution Flow (strictly follow these steps)

-### Prerequisites
+### How to get the API address

- At least one enabled compute provider supports `image_gen` service type (e.g. DashScope, or the default DesireCore Cloud provider)
- agent-service is running
+The system prompt already contains the agent-service API address under "本机 API" (e.g. `Agent Service: https://127.0.0.1:61000`). Extract the URL from there and use it directly.

-### Step 1: Call the text-to-image API (synchronous)
-
-Generate the image via media-proxy's compatible-mode endpoint; the response includes the image URL directly:
+If for any reason you cannot find it in the system prompt, use this fallback:

 ```bash
-PORT=$(cat ${DESIRECORE_ROOT}/agent-service.port)
+PORT=$(cat "${DESIRECORE_HOME:-$HOME/.desirecore}/agent-service.port")
+# Then use https://127.0.0.1:${PORT}
+```
+
+### Step 1: Generate the image (single curl command)
+
+Call `/images/generations` through media-proxy. **You MUST use this exact request structure** — do not add `messages`, `response_format`, or any other parameters not shown here:
+
+```bash
+# Save response to a temp file to avoid base64 flooding the terminal
 curl -sk -X POST "https://127.0.0.1:${PORT}/api/media-proxy" \
  -H "Content-Type: application/json" \
  -d '{
    "serviceType": "image_gen",
-    "endpoint": "/chat/completions",
+    "endpoint": "/images/generations",
    "body": {
      "model": "wan2.7-image",
-      "messages": [
-        {
-          "role": "user",
-          "content": [
-            {"type": "text", "text": "Replace this with the image description (English usually gives better results)"}
-          ]
-        }
-      ]
+      "prompt": "Replace this with the image description (English usually gives better results)",
+      "size": "1024x1024",
+      "n": 1
    },
    "responseType": "json"
-  }'
+  }' -o /tmp/dashscope-response.json
+
+# Check success and extract b64_json directly to image file (NEVER cat the response to stdout)
+python3 -c "
+import json, base64, sys
+with open('/tmp/dashscope-response.json') as f:
+    resp = json.load(f)
+if not resp.get('success'):
+    print('ERROR:', json.dumps(resp, ensure_ascii=False)[:500])
+    sys.exit(1)
+b64 = resp['data']['data'][0]['b64_json']
+with open('/tmp/dashscope-gen.png', 'wb') as f:
+    f.write(base64.b64decode(b64))
+print('OK: saved to /tmp/dashscope-gen.png')
+"
 ```

-**Example response**:
+**CRITICAL**: The response contains a large base64 image (~2MB). NEVER print the raw response or b64_json to the terminal. Always save to file with `-o` and extract with the python3 script above.
+
+**Response format** (saved in `/tmp/dashscope-response.json`):
 ```json
 {
  "success": true,
  "data": {
-    "request_id": "...",
-    "output": {
-      "choices": [
-        {
-          "message": {
-            "role": "assistant",
-            "content": [
-              {
-                "type": "image",
-                "image": "https://dashscope-result.oss.aliyuncs.com/..."
-              }
-            ]
-          },
-          "finish_reason": "stop"
-        }
-      ]
-    }
-  },
-  "statusCode": 200
+    "created": 1781060911,
+    "data": [{"b64_json": "<very large base64 string>"}],
+    "size": "1024x1024"
+  }
 }
 ```

-Locate the item with `type: "image"` inside `data.output.choices[0].message.content` and extract its `image` URL.
-
-### Step 2: Download and upload to media-store
-
-The image URL is time-limited; download and persist it to the local media-store immediately:
+### Step 2: Upload to media-store

 ```bash
-PORT=$(cat ${DESIRECORE_ROOT}/agent-service.port)
-IMAGE_URL="image URL from step 1's response"
-curl -sL "$IMAGE_URL" -o /tmp/dashscope-gen.png && \
 curl -sk -X POST "https://127.0.0.1:${PORT}/api/media/upload" \
  -F "file=@/tmp/dashscope-gen.png;type=image/png"
 ```
@@ -175,13 +181,14 @@ The frontend will translate `dc-media://` into a reachable image URL and render

 ### Size selection

-When calling Wan via compatible-mode, the size is passed as the top-level `size` parameter:
+Pass `size` in the `body` object:

 ```json
 {
  "model": "wan2.7-image",
+  "prompt": "your image description",
  "size": "1024x1024",
-  "messages": [...]
+  "n": 1
 }
 ```

@@ -195,12 +202,12 @@ When calling Wan via compatible-mode, the size is passed as the top-level `size`

 | Parameter | Description |
 |------|------|
-| `n` | Number of images, 1–4, default 1 |
+| `n` | Number of images, 1-4, default 1 |
 | `size` | Image size, e.g. "1024x1024" |

 ## Multiple Image Generation

-When `n > 1`, the `choices` array contains multiple entries, each with an image inside `message.content`. Download and upload each image, then render them one by one:
+When `n > 1`, download and upload each image, then render them one by one:

 ```
 ![Image 1 description](dc-media://mediaId1)
@@ -209,16 +216,20 @@ When `n > 1`, the `choices` array contains multiple entries, each with an image

 ## Error Handling

- `success: false` + `error: "No matching provider"`: No enabled provider supports `image_gen` service type
- `success: false` + `error: "API Key not configured"`: API Key missing
- `statusCode: 401`: API Key invalid or expired
- `statusCode: 429`: rate limited, retry later
- `statusCode: 400` + `InvalidParameter`: bad parameters (e.g. unsupported size)
- `statusCode: 403` + `AccessDenied.Unpurchased`: model not activated; enable it in the Alibaba Cloud console
+| Error | Meaning | Action |
+|-------|---------|--------|
+| `"No matching provider"` | No enabled provider supports `image_gen` | Tell user to enable a provider with image_gen support in settings |
+| `"API Key not configured"` | API Key missing | Tell user to configure API key |
+| `statusCode: 401` | API Key invalid or expired | Tell user to check API key |
+| `statusCode: 429` | Rate limited | Wait and retry once |
+| `statusCode: 400` | Bad parameters | Check model name and size are from the tables above |
+| `statusCode: 403 AccessDenied.Unpurchased` | Model not activated | Tell user to enable the model in Alibaba Cloud console |
+
+**On any error**: Do NOT try alternative models, alternative endpoints, or read config files. Report the error to the user clearly.

 ## Notes

- compatible-mode calls are synchronous and typically return in 10–60 seconds (wan2.7-image-pro can take longer)
+- Image generation calls are synchronous and typically return in 10-60 seconds (wan2.7-image-pro can take longer)
 - Image URLs expire; download promptly
 - English prompts usually produce the best results; Chinese is also supported
 - When the user does not specify a model or size, default to `wan2.7-image` + `1024x1024`
--- a/skills/dashscope-image-gen/SKILL.zh-CN.md
+++ b/skills/dashscope-image-gen/SKILL.zh-CN.md
@@ -4,11 +4,22 @@

 ## 强制规则（违反将导致功能失败）

-1. **必须用 HTTPS 访问 agent-service** — `https://127.0.0.1:${PORT}` 加 `-k` 跳过证书验证
-2. **必须通过 `/api/media/upload` 上传到 media-store** — 禁止保存到本地路径
-3. **必须使用 `dc-media://` 协议展示图片** — 唯一能让前端正确渲染的方式
-4. **全程使用 Bash curl** — 不要使用 HttpRequest 工具或 Python
-5. **使用 compatible-mode（/chat/completions）** — 同步调用，响应直接包含图片 URL
+1. **严格按下方步骤执行** — 禁止自行探索其他端点、尝试本文档未列出的模型、或读取配置文件
+2. **必须用 HTTPS 访问 agent-service** — API 地址已在系统提示词的"本机 API"部分提供（如 `https://127.0.0.1:PORT`），直接使用，加 `-k` 跳过证书验证
+3. **必须通过 `/api/media/upload` 上传到 media-store** — 禁止保存到本地路径
+4. **必须使用 `dc-media://` 协议展示图片** — 唯一能让前端正确渲染的方式
+5. **全程使用 Bash curl** — 不要使用 HttpRequest 工具或 Python
+6. **使用 `/images/generations` 端点** — 同步调用，响应包含 b64_json 图片数据
+7. **只能使用下方模型列表中的模型** — 禁止尝试 dall-e-3、qwen-vl 或任何未列出的模型
+
+## 供应商与默认算力
+
+本技能使用阿里云 DashScope 的通义万相系列模型。**无需指定供应商**，只需传 `"serviceType": "image_gen"`，系统会自动路由到正确的供应商：
+
+- **DesireCore Cloud**（默认，始终可用）：内置算力供应商已支持 `image_gen` 和通义万相模型。用户无需任何配置即可直接生成图片。
+- **DashScope**（用户自配）：如果用户自己配置了阿里云 API Key，系统可能会路由到用户自己的供应商。
+
+**禁止**尝试查询供应商列表、读取 compute.json、或通过 API 探索可用模型。下方列出的模型保证可用。

 ## 模型选择指南

@@ -19,81 +30,76 @@

 **默认规则**：用户未指定模型时，使用 `wan2.7-image`。

-## 完整执行流程（严格按此两步执行）
+## 完整执行流程（严格按此步骤执行）

-### 前置条件
+### 获取 API 地址

- 至少有一个已启用的算力供应商支持 `image_gen` 服务类型（如 DashScope 或默认的 DesireCore Cloud 供应商）
- agent-service 正在运行
+系统提示词中"本机 API"部分已包含 agent-service 的地址（如 `Agent Service: https://127.0.0.1:61000`）。直接从中提取 URL 使用。

-### 第一步：调用文生图 API（同步）
-
-通过 media-proxy 的 compatible-mode 端点生成图片，响应直接包含图片 URL：
+如果无法从系统提示词中找到，使用以下兜底方式：

 ```bash
-PORT=$(cat ${DESIRECORE_ROOT}/agent-service.port)
+PORT=$(cat "${DESIRECORE_HOME:-$HOME/.desirecore}/agent-service.port")
+# 然后使用 https://127.0.0.1:${PORT}
+```
+
+### 第一步：生成图片（单次 curl 调用）
+
+通过 media-proxy 调用 `/images/generations` 端点。**必须严格使用以下请求结构** — 禁止添加 `messages`、`response_format` 或任何未在此处列出的参数：
+
+```bash
+# 将响应保存到临时文件，避免 base64 数据灌入终端
 curl -sk -X POST "https://127.0.0.1:${PORT}/api/media-proxy" \
  -H "Content-Type: application/json" \
  -d '{
    "serviceType": "image_gen",
-    "endpoint": "/chat/completions",
+    "endpoint": "/images/generations",
    "body": {
      "model": "wan2.7-image",
-      "messages": [
-        {
-          "role": "user",
-          "content": [
-            {"type": "text", "text": "这里替换为图片描述（建议英文效果更好）"}
-          ]
-        }
-      ]
+      "prompt": "这里替换为图片描述（建议英文效果更好）",
+      "size": "1024x1024",
+      "n": 1
    },
    "responseType": "json"
-  }'
+  }' -o /tmp/dashscope-response.json
+
+# 检查成功并直接将 b64_json 提取为图片文件（禁止将响应内容输出到终端）
+python3 -c "
+import json, base64, sys
+with open('/tmp/dashscope-response.json') as f:
+    resp = json.load(f)
+if not resp.get('success'):
+    print('ERROR:', json.dumps(resp, ensure_ascii=False)[:500])
+    sys.exit(1)
+b64 = resp['data']['data'][0]['b64_json']
+with open('/tmp/dashscope-gen.png', 'wb') as f:
+    f.write(base64.b64decode(b64))
+print('OK: saved to /tmp/dashscope-gen.png')
+"
 ```

-**响应示例**：
+**关键警告**：响应包含大约 2MB 的 base64 图片数据。**禁止**将原始响应或 b64_json 打印到终端。始终使用 `-o` 保存到文件，再用上面的 python3 脚本提取。
+
+**响应格式**（保存在 `/tmp/dashscope-response.json` 中）：
 ```json
 {
  "success": true,
  "data": {
-    "request_id": "...",
-    "output": {
-      "choices": [
-        {
-          "message": {
-            "role": "assistant",
-            "content": [
-              {
-                "type": "image",
-                "image": "https://dashscope-result.oss.aliyuncs.com/..."
-              }
-            ]
-          },
-          "finish_reason": "stop"
-        }
-      ]
-    }
-  },
-  "statusCode": 200
+    "created": 1781060911,
+    "data": [{"b64_json": "<非常大的 base64 字符串>"}],
+    "size": "1024x1024"
+  }
 }
 ```

-从 `data.output.choices[0].message.content` 中找到 `type: "image"` 的项，提取其 `image` URL。
-
-### 第二步：下载并上传到 media-store
-
-图片 URL 有时效，必须立即下载并保存到本地 media-store：
+### 第二步：上传到 media-store

 ```bash
-PORT=$(cat ${DESIRECORE_ROOT}/agent-service.port)
-IMAGE_URL="第一步响应中的 image URL"
-curl -sL "$IMAGE_URL" -o /tmp/dashscope-gen.png && \
 curl -sk -X POST "https://127.0.0.1:${PORT}/api/media/upload" \
  -F "file=@/tmp/dashscope-gen.png;type=image/png"
 ```

-从 JSON 响应中提取 `mediaId` 字段（格式如 `xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx.png`）。
+从上传 JSON 响应中提取 `mediaId` 字段（格式如 `xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx.png`）。

 ### 第三步：用 dc-media 协议展示图片

@@ -111,13 +117,14 @@ curl -sk -X POST "https://127.0.0.1:${PORT}/api/media/upload" \

 ### 尺寸选择

-通义万相通过 compatible-mode 调用时，尺寸通过 `size` 参数传入（放在请求体顶层）：
+`size` 放在 `body` 对象中：

 ```json
 {
  "model": "wan2.7-image",
+  "prompt": "图片描述",
  "size": "1024x1024",
-  "messages": [...]
+  "n": 1
 }
 ```

@@ -136,7 +143,7 @@ curl -sk -X POST "https://127.0.0.1:${PORT}/api/media/upload" \

 ## 多图生成

-当 `n > 1` 时，`choices` 数组会有多个元素，每个 `message.content` 中都有一张图片。需要为每张图片执行下载+上传，然后逐一展示：
+当 `n > 1` 时，为每张图片执行下载+上传，然后逐一展示：

 ```
 ![图片1描述](dc-media://mediaId1)
@@ -145,16 +152,20 @@ curl -sk -X POST "https://127.0.0.1:${PORT}/api/media/upload" \

 ## 错误处理

- `success: false` + `error: "未找到匹配的供应商"`：没有已启用的供应商支持 `image_gen` 服务类型
- `success: false` + `error: "未配置 API Key"`：未填写 API Key
- `statusCode: 401`：API Key 无效或已过期
- `statusCode: 429`：频率限制，稍后重试
- `statusCode: 400` + `InvalidParameter`：参数错误（如尺寸不支持）
- `statusCode: 403` + `AccessDenied.Unpurchased`：模型未开通，需要在阿里云控制台开通
+| 错误 | 含义 | 处理方式 |
+|------|------|---------|
+| `"未找到匹配的供应商"` | 没有启用的供应商支持 `image_gen` | 告知用户在设置中启用支持 image_gen 的供应商 |
+| `"未配置 API Key"` | 未填写 API Key | 告知用户配置 API Key |
+| `statusCode: 401` | API Key 无效或过期 | 告知用户检查 API Key |
+| `statusCode: 429` | 频率限制 | 等待后重试一次 |
+| `statusCode: 400` | 参数错误 | 检查模型名和尺寸是否在上表中 |
+| `statusCode: 403 AccessDenied.Unpurchased` | 模型未开通 | 告知用户在阿里云控制台开通 |
+
+**遇到任何错误时**：禁止尝试其他模型、其他端点、或读取配置文件。直接向用户清晰报告错误即可。

 ## 注意事项

- 通过 compatible-mode 调用是同步的，通常 10-60 秒返回（wan2.7-image-pro 可能更长）
+- 图片生成调用是同步的，通常 10-60 秒返回（wan2.7-image-pro 可能更长）
 - 结果图片 URL 有时效，必须及时下载
 - 提示词建议用英文以获得最佳效果，中文也支持
 - 如果用户未明确要求模型/尺寸，默认使用 `wan2.7-image` + `1024x1024`