chore: release v1.80.1

Azure OpenAI differs from standard OpenAI in two ways:
1. Auth via api-key header instead of Authorization: Bearer
2. URL requires ?api-version query param with deployment path

Changes:
- New file: scripts/providers/azure.ts (generations + edits, reuses openai utilities)
- types.ts: add "azure" to Provider type and default_model
- main.ts: register azure across rate limits, CLI args, auto-detection,
  provider loading, model resolution, help text, ref validation,
  EXTEND.md parsing, and batch logging

Env vars: AZURE_OPENAI_API_KEY, AZURE_OPENAI_BASE_URL (required),
AZURE_API_VERSION, AZURE_OPENAI_IMAGE_MODEL (optional)

Co-authored-by: CatFly <zw.catfly@gmail.com>
Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

.claude-plugin/marketplace.json

@@ -6,7 +6,7 @@
   },
   "metadata": {
     "description": "Skills shared by Baoyu for improving daily work efficiency",
-    "version": "1.79.2"
+    "version": "1.80.1"
   },
   "plugins": [
     {

CHANGELOG.md

@@ -2,6 +2,16 @@
 
 English | [中文](./CHANGELOG.zh.md)
 
+## 1.80.1 - 2026-03-24
+
+### Fixes
+- `baoyu-image-gen`: use correct `prompt` field name for Jimeng API request
+
+## 1.80.0 - 2026-03-24
+
+### Features
+- `baoyu-image-gen`: add Azure OpenAI as independent image generation provider with flexible endpoint parsing, deployment-name resolution, quality mapping, and reference image validation
+
 ## 1.79.2 - 2026-03-23
 
 ### Fixes

CHANGELOG.zh.md

@@ -2,6 +2,16 @@
 
 [English](./CHANGELOG.md) | 中文
 
+## 1.80.1 - 2026-03-24
+
+### 修复
+- `baoyu-image-gen`：修正即梦 API 请求中的 `prompt` 字段名
+
+## 1.80.0 - 2026-03-24
+
+### 新功能
+- `baoyu-image-gen`：新增 Azure OpenAI 作为独立图像生成服务商，支持灵活的端点解析、部署名称推断、质量映射及参考图片格式校验
+
 ## 1.79.2 - 2026-03-23
 
 ### 修复

CLAUDE.md

@@ -1,6 +1,6 @@
 # CLAUDE.md
 
-Claude Code marketplace plugin providing AI-powered content generation skills. Version: **1.79.2**.
+Claude Code marketplace plugin providing AI-powered content generation skills. Version: **1.80.1**.
 
 ## Architecture
 
@@ -31,7 +31,7 @@ Execute: `${BUN_X} skills/<skill>/scripts/main.ts [options]`
 
 - **Bun**: TypeScript runtime (`bun` preferred, fallback `npx -y bun`)
 - **Chrome**: Required for CDP-based skills (gemini-web, post-to-x/wechat/weibo, url-to-markdown). All CDP skills share a single profile, override via `BAOYU_CHROME_PROFILE_DIR` env var. Platform paths: [docs/chrome-profile.md](docs/chrome-profile.md)
-- **Image generation APIs**: `baoyu-image-gen` requires API key (OpenAI, Google, OpenRouter, DashScope, or Replicate) configured in EXTEND.md
+- **Image generation APIs**: `baoyu-image-gen` requires API key (OpenAI, Azure OpenAI, Google, OpenRouter, DashScope, or Replicate) configured in EXTEND.md
 - **Gemini Web auth**: Browser cookies (first run opens Chrome for login, `--login` to refresh)
 
 ## Security

README.md

@@ -663,7 +663,7 @@ AI-powered generation backends.
 
 #### baoyu-image-gen
 
-AI SDK-based image generation using OpenAI, Google, OpenRouter, DashScope (Aliyun Tongyi Wanxiang), Jimeng (即梦), Seedream (豆包), and Replicate APIs. Supports text-to-image, reference images, aspect ratios, and quality presets.
+AI SDK-based image generation using OpenAI, Azure OpenAI, Google, OpenRouter, DashScope (Aliyun Tongyi Wanxiang), Jimeng (即梦), Seedream (豆包), and Replicate APIs. Supports text-to-image, reference images, aspect ratios, and quality presets.
 
 ```bash
 # Basic generation (auto-detect provider)
@@ -678,6 +678,9 @@ AI SDK-based image generation using OpenAI, Google, OpenRouter, DashScope (Aliyu
 # Specific provider
 /baoyu-image-gen --prompt "A cat" --image cat.png --provider openai
 
+# Azure OpenAI (model = deployment name)
+/baoyu-image-gen --prompt "A cat" --image cat.png --provider azure --model gpt-image-1.5
+
 # OpenRouter
 /baoyu-image-gen --prompt "A cat" --image cat.png --provider openrouter
 
@@ -693,7 +696,7 @@ AI SDK-based image generation using OpenAI, Google, OpenRouter, DashScope (Aliyu
 # Seedream (豆包)
 /baoyu-image-gen --prompt "一只可爱的猫" --image cat.png --provider seedream
 
-# With reference images (Google, OpenAI, OpenRouter, Replicate, or Seedream 5.0/4.5/4.0)
+# With reference images (Google, OpenAI, Azure OpenAI, OpenRouter, Replicate, or Seedream 5.0/4.5/4.0)
 /baoyu-image-gen --prompt "Make it blue" --image out.png --ref source.png
 ```
 

README.zh.md

@@ -663,7 +663,7 @@ AI 驱动的生成后端。
 
 #### baoyu-image-gen
 
-基于 AI SDK 的图像生成，支持 OpenAI、Google、OpenRouter、DashScope（阿里通义万相）、即梦（Jimeng）、豆包（Seedream）和 Replicate API。支持文生图、参考图、宽高比和质量预设。
+基于 AI SDK 的图像生成，支持 OpenAI、Azure OpenAI、Google、OpenRouter、DashScope（阿里通义万相）、即梦（Jimeng）、豆包（Seedream）和 Replicate API。支持文生图、参考图、宽高比和质量预设。
 
 ```bash
 # 基础生成（自动检测服务商）
@@ -678,6 +678,9 @@ AI 驱动的生成后端。
 # 指定服务商
 /baoyu-image-gen --prompt "一只猫" --image cat.png --provider openai
 
+# Azure OpenAI（model 为部署名称）
+/baoyu-image-gen --prompt "一只猫" --image cat.png --provider azure --model gpt-image-1.5
+
 # OpenRouter
 /baoyu-image-gen --prompt "一只猫" --image cat.png --provider openrouter
 
@@ -693,7 +696,7 @@ AI 驱动的生成后端。
 # 豆包（Seedream）
 /baoyu-image-gen --prompt "一只可爱的猫" --image cat.png --provider seedream
 
-# 带参考图（Google、OpenAI、OpenRouter、Replicate 或 Seedream 5.0/4.5/4.0）
+# 带参考图（Google、OpenAI、Azure OpenAI、OpenRouter、Replicate 或 Seedream 5.0/4.5/4.0）
 /baoyu-image-gen --prompt "把它变成蓝色" --image out.png --ref source.png
 ```
 

skills/baoyu-image-gen/SKILL.md

@@ -1,6 +1,6 @@
 ---
 name: baoyu-image-gen
-description: AI image generation with OpenAI, Google, OpenRouter, DashScope, Jimeng, Seedream and Replicate APIs. Supports text-to-image, reference images, aspect ratios, and batch generation from saved prompt files. Sequential by default; use batch parallel generation when the user already has multiple prompts or wants stable multi-image throughput. Use when user asks to generate, create, or draw images.
+description: AI image generation with OpenAI, Azure OpenAI, Google, OpenRouter, DashScope, Jimeng, Seedream and Replicate APIs. Supports text-to-image, reference images, aspect ratios, and batch generation from saved prompt files. Sequential by default; use batch parallel generation when the user already has multiple prompts or wants stable multi-image throughput. Use when user asks to generate, create, or draw images.
 version: 1.56.3
 metadata:
   openclaw:
@@ -13,7 +13,7 @@ metadata:
 
 # Image Generation (AI SDK)
 
-Official API-based image generation. Supports OpenAI, Google, OpenRouter, DashScope (阿里通义万象), Jimeng (即梦), Seedream (豆包) and Replicate providers.
+Official API-based image generation. Supports OpenAI, Azure OpenAI, Google, OpenRouter, DashScope (阿里通义万象), Jimeng (即梦), Seedream (豆包) and Replicate providers.
 
 ## Script Directory
 
@@ -74,12 +74,15 @@ ${BUN_X} {baseDir}/scripts/main.ts --prompt "A cat" --image out.png --quality 2k
 # From prompt files
 ${BUN_X} {baseDir}/scripts/main.ts --promptfiles system.md content.md --image out.png
 
-# With reference images (Google, OpenAI, OpenRouter, Replicate, or Seedream 4.0/4.5/5.0)
+# With reference images (Google, OpenAI, Azure OpenAI, OpenRouter, Replicate, or Seedream 4.0/4.5/5.0)
 ${BUN_X} {baseDir}/scripts/main.ts --prompt "Make blue" --image out.png --ref source.png
 
 # With reference images (explicit provider/model)
 ${BUN_X} {baseDir}/scripts/main.ts --prompt "Make blue" --image out.png --provider google --model gemini-3-pro-image-preview --ref source.png
 
+# Azure OpenAI (model means deployment name)
+${BUN_X} {baseDir}/scripts/main.ts --prompt "A cat" --image out.png --provider azure --model gpt-image-1.5
+
 # OpenRouter (recommended default model)
 ${BUN_X} {baseDir}/scripts/main.ts --prompt "A cat" --image out.png --provider openrouter
 
@@ -147,13 +150,13 @@ Paths in `promptFiles`, `image`, and `ref` are resolved relative to the batch fi
 | `--image <path>` | Output image path (required in single-image mode) |
 | `--batchfile <path>` | JSON batch file for multi-image generation |
 | `--jobs <count>` | Worker count for batch mode (default: auto, max from config, built-in default 10) |
-| `--provider google\|openai\|openrouter\|dashscope\|jimeng\|seedream\|replicate` | Force provider (default: auto-detect) |
+| `--provider google\|openai\|azure\|openrouter\|dashscope\|jimeng\|seedream\|replicate` | Force provider (default: auto-detect) |
-| `--model <id>`, `-m` | Model ID (Google: `gemini-3-pro-image-preview`; OpenAI: `gpt-image-1.5`; OpenRouter: `google/gemini-3.1-flash-image-preview`; DashScope: `qwen-image-2.0-pro`) |
+| `--model <id>`, `-m` | Model ID (Google: `gemini-3-pro-image-preview`; OpenAI: `gpt-image-1.5`; Azure: deployment name such as `gpt-image-1.5` or `image-prod`; OpenRouter: `google/gemini-3.1-flash-image-preview`; DashScope: `qwen-image-2.0-pro`) |
 | `--ar <ratio>` | Aspect ratio (e.g., `16:9`, `1:1`, `4:3`) |
 | `--size <WxH>` | Size (e.g., `1024x1024`) |
 | `--quality normal\|2k` | Quality preset (default: `2k`) |
 | `--imageSize 1K\|2K\|4K` | Image size for Google/OpenRouter (default: from quality) |
-| `--ref <files...>` | Reference images. Supported by Google multimodal, OpenAI GPT Image edits, OpenRouter multimodal models, Replicate, and Seedream 5.0/4.5/4.0. Not supported by Jimeng, Seedream 3.0, or removed SeedEdit 3.0 |
+| `--ref <files...>` | Reference images. Supported by Google multimodal, OpenAI GPT Image edits, Azure OpenAI edits (PNG/JPG only), OpenRouter multimodal models, Replicate, and Seedream 5.0/4.5/4.0. Not supported by Jimeng, Seedream 3.0, or removed SeedEdit 3.0 |
 | `--n <count>` | Number of images |
 | `--json` | JSON output |
 
@@ -162,6 +165,7 @@ Paths in `promptFiles`, `image`, and `ref` are resolved relative to the batch fi
 | Variable | Description |
 |----------|-------------|
 | `OPENAI_API_KEY` | OpenAI API key |
+| `AZURE_OPENAI_API_KEY` | Azure OpenAI API key |
 | `OPENROUTER_API_KEY` | OpenRouter API key |
 | `GOOGLE_API_KEY` | Google API key |
 | `DASHSCOPE_API_KEY` | DashScope API key (阿里云) |
@@ -170,6 +174,8 @@ Paths in `promptFiles`, `image`, and `ref` are resolved relative to the batch fi
 | `JIMENG_SECRET_ACCESS_KEY` | Jimeng (即梦) Volcengine secret key |
 | `ARK_API_KEY` | Seedream (豆包) Volcengine ARK API key |
 | `OPENAI_IMAGE_MODEL` | OpenAI model override |
+| `AZURE_OPENAI_DEPLOYMENT` | Azure default deployment name |
+| `AZURE_OPENAI_IMAGE_MODEL` | Backward-compatible alias for Azure default deployment/model name |
 | `OPENROUTER_IMAGE_MODEL` | OpenRouter model override (default: `google/gemini-3.1-flash-image-preview`) |
 | `GOOGLE_IMAGE_MODEL` | Google model override |
 | `DASHSCOPE_IMAGE_MODEL` | DashScope model override (default: `qwen-image-2.0-pro`) |
@@ -177,6 +183,8 @@ Paths in `promptFiles`, `image`, and `ref` are resolved relative to the batch fi
 | `JIMENG_IMAGE_MODEL` | Jimeng model override (default: jimeng_t2i_v40) |
 | `SEEDREAM_IMAGE_MODEL` | Seedream model override (default: doubao-seedream-5-0-260128) |
 | `OPENAI_BASE_URL` | Custom OpenAI endpoint |
+| `AZURE_OPENAI_BASE_URL` | Azure resource endpoint or deployment endpoint |
+| `AZURE_API_VERSION` | Azure image API version (default: `2025-04-01-preview`) |
 | `OPENROUTER_BASE_URL` | Custom OpenRouter endpoint (default: `https://openrouter.ai/api/v1`) |
 | `OPENROUTER_HTTP_REFERER` | Optional app/site URL for OpenRouter attribution |
 | `OPENROUTER_TITLE` | Optional app name for OpenRouter attribution |
@@ -201,6 +209,8 @@ Model priority (highest → lowest), applies to all providers:
 3. Env var: `<PROVIDER>_IMAGE_MODEL` (e.g., `GOOGLE_IMAGE_MODEL`)
 4. Built-in default
 
+For Azure, `--model` / `default_model.azure` should be the Azure deployment name. `AZURE_OPENAI_DEPLOYMENT` is the preferred env var, and `AZURE_OPENAI_IMAGE_MODEL` remains as a backward-compatible alias.
+
 **EXTEND.md overrides env vars**. If both EXTEND.md `default_model.google: "gemini-3-pro-image-preview"` and env var `GOOGLE_IMAGE_MODEL=gemini-3.1-flash-image-preview` exist, EXTEND.md wins.
 
 **Agent MUST display model info** before each generation:

skills/baoyu-image-gen/references/config/first-time-setup.md

@@ -47,6 +47,8 @@ options:
     description: "Gemini multimodal - high quality, reference images, flexible sizes"
   - label: "OpenAI"
     description: "GPT Image - consistent quality, reliable output"
+  - label: "Azure OpenAI"
+    description: "Azure-hosted GPT Image deployments with resource-specific routing"
   - label: "OpenRouter"
     description: "Router for Gemini/FLUX/OpenAI-compatible image models"
   - label: "DashScope"
@@ -87,6 +89,20 @@ options:
     description: "Strong text-to-image quality through OpenRouter"
 ```
 
+### Question 2c: Default Azure Deployment
+
+Only show if user selected Azure OpenAI.
+
+```yaml
+header: "Azure Deploy"
+question: "Default Azure image deployment name?"
+options:
+  - label: "gpt-image-1.5 (Recommended)"
+    description: "Best default if your Azure deployment uses the same name"
+  - label: "gpt-image-1"
+    description: "Previous GPT Image deployment name"
+```
+
 ### Question 3: Default Quality
 
 ```yaml
@@ -130,6 +146,7 @@ default_image_size: null
 default_model:
   google: [selected google model or null]
   openai: null
+  azure: [selected azure deployment or null]
   openrouter: [selected openrouter model or null]
   dashscope: null
   replicate: null
@@ -166,6 +183,23 @@ options:
     description: "Previous generation GPT Image model"
 ```
 
+### Azure Deployment Selection
+
+```yaml
+header: "Azure Deploy"
+question: "Choose a default Azure image deployment name?"
+options:
+  - label: "gpt-image-1.5 (Recommended)"
+    description: "Use when your Azure deployment name matches the GPT-image-1.5 model"
+  - label: "gpt-image-1"
+    description: "Use when your Azure deployment name matches GPT-image-1"
+```
+
+Notes for Azure setup:
+
+- In `baoyu-image-gen`, Azure `--model` / `default_model.azure` should be the Azure deployment name, not just the underlying model family.
+- If the deployment name is custom, save that exact deployment name in `default_model.azure`.
+
 ### OpenRouter Model Selection
 
 ```yaml
@@ -230,6 +264,7 @@ After user selects a model:
 default_model:
   google: [value or null]
   openai: [value or null]
+  azure: [value or null]
   openrouter: [value or null]
   dashscope: [value or null]
   replicate: [value or null]

skills/baoyu-image-gen/references/config/preferences-schema.md

@@ -11,7 +11,7 @@ description: EXTEND.md YAML schema for baoyu-image-gen user preferences
 ---
 version: 1
 
-default_provider: null      # google|openai|openrouter|dashscope|replicate|null (null = auto-detect)
+default_provider: null      # google|openai|azure|openrouter|dashscope|replicate|null (null = auto-detect)
 
 default_quality: null       # normal|2k|null (null = use default: 2k)
 
@@ -22,6 +22,7 @@ default_image_size: null    # 1K|2K|4K|null (Google/OpenRouter, overrides qualit
 default_model:
   google: null              # e.g., "gemini-3-pro-image-preview", "gemini-3.1-flash-image-preview"
   openai: null              # e.g., "gpt-image-1.5", "gpt-image-1"
+  azure: null               # Azure deployment name, e.g., "gpt-image-1.5" or "image-prod"
   openrouter: null          # e.g., "google/gemini-3.1-flash-image-preview"
   dashscope: null           # e.g., "qwen-image-2.0-pro"
   replicate: null           # e.g., "google/nano-banana-pro"
@@ -38,6 +39,9 @@ batch:
     openai:
       concurrency: 3
       start_interval_ms: 1100
+    azure:
+      concurrency: 3
+      start_interval_ms: 1100
     openrouter:
       concurrency: 3
       start_interval_ms: 1100
@@ -58,6 +62,7 @@ batch:
 | `default_image_size` | string\|null | null | Google/OpenRouter image size (overrides quality) |
 | `default_model.google` | string\|null | null | Google default model |
 | `default_model.openai` | string\|null | null | OpenAI default model |
+| `default_model.azure` | string\|null | null | Azure default deployment name |
 | `default_model.openrouter` | string\|null | null | OpenRouter default model |
 | `default_model.dashscope` | string\|null | null | DashScope default model |
 | `default_model.replicate` | string\|null | null | Replicate default model |
@@ -87,6 +92,7 @@ default_image_size: 2K
 default_model:
   google: "gemini-3-pro-image-preview"
   openai: "gpt-image-1.5"
+  azure: "gpt-image-1.5"
   openrouter: "google/gemini-3.1-flash-image-preview"
   dashscope: "qwen-image-2.0-pro"
   replicate: "google/nano-banana-pro"
@@ -96,6 +102,9 @@ batch:
     replicate:
       concurrency: 5
       start_interval_ms: 700
+    azure:
+      concurrency: 3
+      start_interval_ms: 1100
     openrouter:
       concurrency: 3
       start_interval_ms: 1100

skills/baoyu-image-gen/scripts/main.test.ts

@@ -123,6 +123,7 @@ default_image_size: 2K
 default_model:
   google: gemini-3-pro-image-preview
   openai: gpt-image-1.5
+  azure: image-prod
 batch:
   max_workers: 8
   provider_limits:
@@ -131,6 +132,9 @@ batch:
       start_interval_ms: 900
     openai:
       concurrency: 4
+    azure:
+      concurrency: 1
+      start_interval_ms: 1500
 `;
 
   const config = parseSimpleYaml(yaml);
@@ -142,6 +146,7 @@ batch:
   assert.equal(config.default_image_size, "2K");
   assert.equal(config.default_model?.google, "gemini-3-pro-image-preview");
   assert.equal(config.default_model?.openai, "gpt-image-1.5");
+  assert.equal(config.default_model?.azure, "image-prod");
   assert.equal(config.batch?.max_workers, 8);
   assert.deepEqual(config.batch?.provider_limits?.google, {
     concurrency: 2,
@@ -150,6 +155,10 @@ batch:
   assert.deepEqual(config.batch?.provider_limits?.openai, {
     concurrency: 4,
   });
+  assert.deepEqual(config.batch?.provider_limits?.azure, {
+    concurrency: 1,
+    start_interval_ms: 1500,
+  });
 });
 
 test("mergeConfig only fills values missing from CLI args", () => {
@@ -203,6 +212,8 @@ test("detectProvider selects an available ref-capable provider for reference-ima
   useEnv(t, {
     GOOGLE_API_KEY: null,
     OPENAI_API_KEY: "openai-key",
+    AZURE_OPENAI_API_KEY: null,
+    AZURE_OPENAI_BASE_URL: null,
     OPENROUTER_API_KEY: null,
     DASHSCOPE_API_KEY: null,
     REPLICATE_API_TOKEN: null,
@@ -216,6 +227,27 @@ test("detectProvider selects an available ref-capable provider for reference-ima
   );
 });
 
+test("detectProvider selects Azure when only Azure credentials are configured", (t) => {
+  useEnv(t, {
+    GOOGLE_API_KEY: null,
+    OPENAI_API_KEY: null,
+    AZURE_OPENAI_API_KEY: "azure-key",
+    AZURE_OPENAI_BASE_URL: "https://example.openai.azure.com",
+    OPENROUTER_API_KEY: null,
+    DASHSCOPE_API_KEY: null,
+    REPLICATE_API_TOKEN: null,
+    JIMENG_ACCESS_KEY_ID: null,
+    JIMENG_SECRET_ACCESS_KEY: null,
+    ARK_API_KEY: null,
+  });
+
+  assert.equal(detectProvider(makeArgs()), "azure");
+  assert.equal(
+    detectProvider(makeArgs({ referenceImages: ["ref.png"] })),
+    "azure",
+  );
+});
+
 test("detectProvider infers Seedream from model id and allows Seedream reference-image workflows", (t) => {
   useEnv(t, {
     GOOGLE_API_KEY: null,

skills/baoyu-image-gen/scripts/main.ts

@@ -60,6 +60,7 @@ const DEFAULT_PROVIDER_RATE_LIMITS: Record<Provider, ProviderRateLimit> = {
   dashscope: { concurrency: 3, startIntervalMs: 1100 },
   jimeng: { concurrency: 3, startIntervalMs: 1100 },
   seedream: { concurrency: 3, startIntervalMs: 1100 },
+  azure: { concurrency: 3, startIntervalMs: 1100 },
 };
 
 function printUsage(): void {
@@ -74,13 +75,13 @@ Options:
   --image <path>            Output image path (required in single-image mode)
   --batchfile <path>        JSON batch file for multi-image generation
   --jobs <count>            Worker count for batch mode (default: auto, max from config, built-in default 10)
-  --provider google|openai|openrouter|dashscope|replicate|jimeng|seedream  Force provider (auto-detect by default)
+  --provider google|openai|openrouter|dashscope|replicate|jimeng|seedream|azure  Force provider (auto-detect by default)
   -m, --model <id>          Model ID
   --ar <ratio>              Aspect ratio (e.g., 16:9, 1:1, 4:3)
   --size <WxH>              Size (e.g., 1024x1024)
   --quality normal|2k       Quality preset (default: 2k)
   --imageSize 1K|2K|4K      Image size for Google/OpenRouter (default: from quality)
-  --ref <files...>          Reference images (Google, OpenAI, OpenRouter, Replicate, or Seedream 4.0/4.5/5.0)
+  --ref <files...>          Reference images (Google, OpenAI, Azure, OpenRouter, Replicate, or Seedream 4.0/4.5/5.0)
   --n <count>               Number of images for the current task (default: 1)
   --json                    JSON output
   -h, --help                Show help
@@ -131,6 +132,11 @@ Environment variables:
   DASHSCOPE_BASE_URL        Custom DashScope endpoint
   REPLICATE_BASE_URL        Custom Replicate endpoint
   JIMENG_BASE_URL           Custom Jimeng endpoint
+  AZURE_OPENAI_API_KEY      Azure OpenAI API key
+  AZURE_OPENAI_BASE_URL     Azure OpenAI resource or deployment endpoint
+  AZURE_OPENAI_DEPLOYMENT   Default Azure deployment name
+  AZURE_API_VERSION         Azure API version (default: 2025-04-01-preview)
+  AZURE_OPENAI_IMAGE_MODEL  Backward-compatible Azure deployment/model alias (defaults to gpt-image-1.5)
   SEEDREAM_BASE_URL         Custom Seedream endpoint
   BAOYU_IMAGE_GEN_MAX_WORKERS  Override batch worker cap
   BAOYU_IMAGE_GEN_<PROVIDER>_CONCURRENCY  Override provider concurrency
@@ -231,7 +237,8 @@ export function parseArgs(argv: string[]): CliArgs {
         v !== "dashscope" &&
         v !== "replicate" &&
         v !== "jimeng" &&
-        v !== "seedream"
+        v !== "seedream" &&
+        v !== "azure"
       ) {
         throw new Error(`Invalid provider: ${v}`);
       }
@@ -386,6 +393,7 @@ export function parseSimpleYaml(yaml: string): Partial<ExtendConfig> {
           replicate: null,
           jimeng: null,
           seedream: null,
+          azure: null,
         };
         currentKey = "default_model";
         currentProvider = null;
@@ -411,7 +419,8 @@ export function parseSimpleYaml(yaml: string): Partial<ExtendConfig> {
           key === "dashscope" ||
           key === "replicate" ||
           key === "jimeng" ||
-          key === "seedream"
+          key === "seedream" ||
+          key === "azure"
         )
       ) {
         config.batch ??= {};
@@ -427,7 +436,8 @@ export function parseSimpleYaml(yaml: string): Partial<ExtendConfig> {
           key === "dashscope" ||
           key === "replicate" ||
           key === "jimeng" ||
-          key === "seedream"
+          key === "seedream" ||
+          key === "azure"
         )
       ) {
         const cleaned = value.replace(/['"]/g, "");
@@ -520,9 +530,10 @@ export function getConfiguredProviderRateLimits(
     dashscope: { ...DEFAULT_PROVIDER_RATE_LIMITS.dashscope },
     jimeng: { ...DEFAULT_PROVIDER_RATE_LIMITS.jimeng },
     seedream: { ...DEFAULT_PROVIDER_RATE_LIMITS.seedream },
+    azure: { ...DEFAULT_PROVIDER_RATE_LIMITS.azure },
   };
 
-  for (const provider of ["replicate", "google", "openai", "openrouter", "dashscope", "jimeng", "seedream"] as Provider[]) {
+  for (const provider of ["replicate", "google", "openai", "openrouter", "dashscope", "jimeng", "seedream", "azure"] as Provider[]) {
     const envPrefix = `BAOYU_IMAGE_GEN_${provider.toUpperCase()}`;
     const extendLimit = extendConfig.batch?.provider_limits?.[provider];
     configured[provider] = {
@@ -581,18 +592,20 @@ export function detectProvider(args: CliArgs): Provider {
     args.provider &&
     args.provider !== "google" &&
     args.provider !== "openai" &&
+    args.provider !== "azure" &&
     args.provider !== "openrouter" &&
     args.provider !== "replicate" &&
     args.provider !== "seedream"
   ) {
     throw new Error(
-      "Reference images require a ref-capable provider. Use --provider google (Gemini multimodal), --provider openai (GPT Image edits), --provider openrouter (OpenRouter multimodal), --provider replicate, or --provider seedream for supported Seedream models."
+      "Reference images require a ref-capable provider. Use --provider google (Gemini multimodal), --provider openai (GPT Image edits), --provider azure (Azure OpenAI), --provider openrouter (OpenRouter multimodal), --provider replicate, or --provider seedream for supported Seedream models."
     );
   }
 
   if (args.provider) return args.provider;
 
   const hasGoogle = !!(process.env.GOOGLE_API_KEY || process.env.GEMINI_API_KEY);
+  const hasAzure = !!(process.env.AZURE_OPENAI_API_KEY && process.env.AZURE_OPENAI_BASE_URL);
   const hasOpenai = !!process.env.OPENAI_API_KEY;
   const hasOpenrouter = !!process.env.OPENROUTER_API_KEY;
   const hasDashscope = !!process.env.DASHSCOPE_API_KEY;
@@ -611,17 +624,19 @@ export function detectProvider(args: CliArgs): Provider {
   if (args.referenceImages.length > 0) {
     if (hasGoogle) return "google";
     if (hasOpenai) return "openai";
+    if (hasAzure) return "azure";
     if (hasOpenrouter) return "openrouter";
     if (hasReplicate) return "replicate";
     if (hasSeedream) return "seedream";
     throw new Error(
-      "Reference images require Google, OpenAI, OpenRouter, Replicate, or supported Seedream models. Set GOOGLE_API_KEY/GEMINI_API_KEY, OPENAI_API_KEY, OPENROUTER_API_KEY, REPLICATE_API_TOKEN, or ARK_API_KEY, or remove --ref."
+      "Reference images require Google, OpenAI, Azure, OpenRouter, Replicate, or supported Seedream models. Set GOOGLE_API_KEY/GEMINI_API_KEY, OPENAI_API_KEY, AZURE_OPENAI_API_KEY+AZURE_OPENAI_BASE_URL, OPENROUTER_API_KEY, REPLICATE_API_TOKEN, or ARK_API_KEY, or remove --ref."
     );
   }
 
   const available = [
     hasGoogle && "google",
     hasOpenai && "openai",
+    hasAzure && "azure",
     hasOpenrouter && "openrouter",
     hasDashscope && "dashscope",
     hasReplicate && "replicate",
@@ -633,7 +648,7 @@ export function detectProvider(args: CliArgs): Provider {
   if (available.length > 1) return available[0]!;
 
   throw new Error(
-    "No API key found. Set GOOGLE_API_KEY, GEMINI_API_KEY, OPENAI_API_KEY, OPENROUTER_API_KEY, DASHSCOPE_API_KEY, REPLICATE_API_TOKEN, JIMENG keys, or ARK_API_KEY.\n" +
+    "No API key found. Set GOOGLE_API_KEY, GEMINI_API_KEY, OPENAI_API_KEY, AZURE_OPENAI_API_KEY+AZURE_OPENAI_BASE_URL, OPENROUTER_API_KEY, DASHSCOPE_API_KEY, REPLICATE_API_TOKEN, JIMENG keys, or ARK_API_KEY.\n" +
       "Create ~/.baoyu-skills/.env or <cwd>/.baoyu-skills/.env with your keys."
   );
 }
@@ -676,6 +691,7 @@ async function loadProviderModule(provider: Provider): Promise<ProviderModule> {
   if (provider === "openrouter") return (await import("./providers/openrouter")) as ProviderModule;
   if (provider === "jimeng") return (await import("./providers/jimeng")) as ProviderModule;
   if (provider === "seedream") return (await import("./providers/seedream")) as ProviderModule;
+  if (provider === "azure") return (await import("./providers/azure")) as ProviderModule;
   return (await import("./providers/openai")) as ProviderModule;
 }
 
@@ -704,6 +720,7 @@ function getModelForProvider(
     if (provider === "replicate" && extendConfig.default_model.replicate) return extendConfig.default_model.replicate;
     if (provider === "jimeng" && extendConfig.default_model.jimeng) return extendConfig.default_model.jimeng;
     if (provider === "seedream" && extendConfig.default_model.seedream) return extendConfig.default_model.seedream;
+    if (provider === "azure" && extendConfig.default_model.azure) return extendConfig.default_model.azure;
   }
   return providerModule.getDefaultModel();
 }
@@ -923,7 +940,7 @@ async function runBatchTasks(
   const acquireProvider = createProviderGate(providerRateLimits);
   const workerCount = getWorkerCount(tasks.length, jobs, maxWorkers);
   console.error(`Batch mode: ${tasks.length} tasks, ${workerCount} workers, parallel mode enabled.`);
-  for (const provider of ["replicate", "google", "openai", "openrouter", "dashscope", "jimeng", "seedream"] as Provider[]) {
+  for (const provider of ["replicate", "google", "openai", "openrouter", "dashscope", "jimeng", "seedream", "azure"] as Provider[]) {
     const limit = providerRateLimits[provider];
     console.error(`- ${provider}: concurrency=${limit.concurrency}, startIntervalMs=${limit.startIntervalMs}`);
   }

skills/baoyu-image-gen/scripts/providers/azure.test.ts

@@ -0,0 +1,188 @@
+import assert from "node:assert/strict";
+import fs from "node:fs/promises";
+import os from "node:os";
+import path from "node:path";
+import test, { type TestContext } from "node:test";
+
+import type { CliArgs } from "../types.ts";
+import {
+  generateImage,
+  getDefaultModel,
+  parseAzureBaseURL,
+  validateArgs,
+} from "./azure.ts";
+
+function useEnv(
+  t: TestContext,
+  values: Record<string, string | null>,
+): void {
+  const previous = new Map<string, string | undefined>();
+  for (const [key, value] of Object.entries(values)) {
+    previous.set(key, process.env[key]);
+    if (value == null) {
+      delete process.env[key];
+    } else {
+      process.env[key] = value;
+    }
+  }
+
+  t.after(() => {
+    for (const [key, value] of previous.entries()) {
+      if (value == null) {
+        delete process.env[key];
+      } else {
+        process.env[key] = value;
+      }
+    }
+  });
+}
+
+function makeArgs(overrides: Partial<CliArgs> = {}): CliArgs {
+  return {
+    prompt: null,
+    promptFiles: [],
+    imagePath: null,
+    provider: null,
+    model: null,
+    aspectRatio: null,
+    size: null,
+    quality: null,
+    imageSize: null,
+    referenceImages: [],
+    n: 1,
+    batchFile: null,
+    jobs: null,
+    json: false,
+    help: false,
+    ...overrides,
+  };
+}
+
+async function makeTempDir(prefix: string): Promise<string> {
+  return fs.mkdtemp(path.join(os.tmpdir(), prefix));
+}
+
+test("Azure endpoint parsing and default deployment selection follow env precedence", (t) => {
+  assert.deepEqual(parseAzureBaseURL("https://example.openai.azure.com"), {
+    resourceBaseURL: "https://example.openai.azure.com/openai",
+    deployment: null,
+  });
+  assert.deepEqual(
+    parseAzureBaseURL("https://example.openai.azure.com/openai/deployments/from-url"),
+    {
+      resourceBaseURL: "https://example.openai.azure.com/openai",
+      deployment: "from-url",
+    },
+  );
+
+  useEnv(t, {
+    AZURE_OPENAI_BASE_URL: "https://example.openai.azure.com/openai/deployments/from-url",
+    AZURE_OPENAI_DEPLOYMENT: "explicit-deploy",
+    AZURE_OPENAI_IMAGE_MODEL: "env-fallback",
+  });
+  assert.equal(getDefaultModel(), "explicit-deploy");
+});
+
+test("Azure validateArgs rejects unsupported edit input formats before the API call", () => {
+  assert.doesNotThrow(() =>
+    validateArgs("demo-deployment", makeArgs({ referenceImages: ["hero.png", "photo.jpeg"] })),
+  );
+  assert.throws(
+    () => validateArgs("demo-deployment", makeArgs({ referenceImages: ["hero.webp"] })),
+    /PNG or JPG\/JPEG/,
+  );
+});
+
+test("Azure image generation routes model to deployment and sends mapped quality", async (t) => {
+  useEnv(t, {
+    AZURE_OPENAI_API_KEY: "azure-key",
+    AZURE_OPENAI_BASE_URL: "https://example.openai.azure.com/openai/deployments/default-deploy",
+    AZURE_API_VERSION: null,
+    AZURE_OPENAI_DEPLOYMENT: null,
+    AZURE_OPENAI_IMAGE_MODEL: null,
+  });
+
+  const originalFetch = globalThis.fetch;
+  t.after(() => {
+    globalThis.fetch = originalFetch;
+  });
+
+  const calls: Array<{ url: string; body: string }> = [];
+  globalThis.fetch = async (input, init) => {
+    calls.push({
+      url: String(input),
+      body: String(init?.body ?? ""),
+    });
+    return Response.json({
+      data: [{ b64_json: Buffer.from("azure-image").toString("base64") }],
+    });
+  };
+
+  const bytes = await generateImage(
+    "A calm lake at sunset",
+    "custom-deploy",
+    makeArgs({ quality: "normal" }),
+  );
+
+  assert.equal(Buffer.from(bytes).toString("utf8"), "azure-image");
+  assert.equal(
+    calls[0]?.url,
+    "https://example.openai.azure.com/openai/deployments/custom-deploy/images/generations?api-version=2025-04-01-preview",
+  );
+
+  const body = JSON.parse(calls[0]!.body) as Record<string, string>;
+  assert.equal(body.quality, "medium");
+  assert.equal(body.size, "1024x1024");
+});
+
+test("Azure image edits include quality in multipart requests", async (t) => {
+  const root = await makeTempDir("baoyu-image-gen-azure-");
+  t.after(() => fs.rm(root, { recursive: true, force: true }));
+
+  const pngPath = path.join(root, "ref.png");
+  const jpgPath = path.join(root, "ref.jpg");
+  await fs.writeFile(pngPath, "png-bytes");
+  await fs.writeFile(jpgPath, "jpg-bytes");
+
+  useEnv(t, {
+    AZURE_OPENAI_API_KEY: "azure-key",
+    AZURE_OPENAI_BASE_URL: "https://example.openai.azure.com",
+    AZURE_API_VERSION: "2025-04-01-preview",
+    AZURE_OPENAI_DEPLOYMENT: null,
+    AZURE_OPENAI_IMAGE_MODEL: null,
+  });
+
+  const originalFetch = globalThis.fetch;
+  t.after(() => {
+    globalThis.fetch = originalFetch;
+  });
+
+  const calls: Array<{ url: string; form: FormData }> = [];
+  globalThis.fetch = async (input, init) => {
+    calls.push({
+      url: String(input),
+      form: init?.body as FormData,
+    });
+    return Response.json({
+      data: [{ b64_json: Buffer.from("edited-image").toString("base64") }],
+    });
+  };
+
+  const bytes = await generateImage(
+    "Add warm lighting",
+    "edit-deploy",
+    makeArgs({
+      quality: "2k",
+      referenceImages: [pngPath, jpgPath],
+    }),
+  );
+
+  assert.equal(Buffer.from(bytes).toString("utf8"), "edited-image");
+  assert.equal(
+    calls[0]?.url,
+    "https://example.openai.azure.com/openai/deployments/edit-deploy/images/edits?api-version=2025-04-01-preview",
+  );
+  assert.equal(calls[0]?.form.get("quality"), "high");
+  assert.equal(calls[0]?.form.get("size"), "1024x1024");
+  assert.equal(calls[0]?.form.getAll("image[]").length, 2);
+});

skills/baoyu-image-gen/scripts/providers/azure.ts

@@ -0,0 +1,192 @@
+import path from "node:path";
+import { readFile } from "node:fs/promises";
+import type { CliArgs } from "../types";
+import { getOpenAISize, extractImageFromResponse } from "./openai.ts";
+
+type OpenAIImageResponse = { data: Array<{ url?: string; b64_json?: string }> };
+type AzureEndpoint = {
+  resourceBaseURL: string;
+  deployment: string | null;
+};
+
+const DEFAULT_AZURE_API_VERSION = "2025-04-01-preview";
+const AZURE_EDIT_IMAGE_EXTENSIONS = new Set([".png", ".jpg", ".jpeg"]);
+
+export function parseAzureBaseURL(url: string): AzureEndpoint {
+  const parsed = new URL(url);
+  const trimmedPath = parsed.pathname.replace(/\/+$/, "");
+  const deploymentMatch = trimmedPath.match(/^(.*?)(?:\/openai)?\/deployments\/([^/]+)$/);
+
+  if (deploymentMatch) {
+    parsed.pathname = `${deploymentMatch[1] || ""}/openai`;
+    return {
+      resourceBaseURL: parsed.toString().replace(/\/+$/, ""),
+      deployment: decodeURIComponent(deploymentMatch[2]!),
+    };
+  }
+
+  parsed.pathname = trimmedPath.endsWith("/openai") ? trimmedPath : `${trimmedPath}/openai`;
+  return {
+    resourceBaseURL: parsed.toString().replace(/\/+$/, ""),
+    deployment: null,
+  };
+}
+
+export function getDefaultModel(): string {
+  const explicitDeployment = process.env.AZURE_OPENAI_DEPLOYMENT?.trim();
+  if (explicitDeployment) return explicitDeployment;
+
+  const baseURL = process.env.AZURE_OPENAI_BASE_URL;
+  if (baseURL) {
+    try {
+      const { deployment } = parseAzureBaseURL(baseURL);
+      if (deployment) return deployment;
+    } catch {
+      // Ignore invalid URLs here so the required-env check can raise the user-facing error later.
+    }
+  }
+
+  return process.env.AZURE_OPENAI_IMAGE_MODEL || "gpt-image-1.5";
+}
+
+function getEndpoint(): AzureEndpoint {
+  const url = process.env.AZURE_OPENAI_BASE_URL;
+  if (!url) {
+    throw new Error(
+      "AZURE_OPENAI_BASE_URL is required. Set it to your Azure resource or deployment endpoint, e.g.: https://your-resource.openai.azure.com or https://your-resource.openai.azure.com/openai/deployments/your-deployment"
+    );
+  }
+  return parseAzureBaseURL(url);
+}
+
+function getApiKey(): string {
+  const key = process.env.AZURE_OPENAI_API_KEY;
+  if (!key) {
+    throw new Error(
+      "AZURE_OPENAI_API_KEY is required. Get it from Azure Portal → your OpenAI resource → Keys and Endpoint."
+    );
+  }
+  return key;
+}
+
+function getApiVersion(): string {
+  return process.env.AZURE_API_VERSION || DEFAULT_AZURE_API_VERSION;
+}
+
+function getDeployment(model: string): string {
+  const deployment = model.trim();
+  if (!deployment) {
+    throw new Error(
+      "Azure deployment name is required. Use --model <deployment>, AZURE_OPENAI_DEPLOYMENT, AZURE_OPENAI_IMAGE_MODEL, or embed the deployment in AZURE_OPENAI_BASE_URL."
+    );
+  }
+  return deployment;
+}
+
+function buildURL(deployment: string, pathSuffix: string): string {
+  const { resourceBaseURL } = getEndpoint();
+  return `${resourceBaseURL}/deployments/${encodeURIComponent(deployment)}${pathSuffix}?api-version=${getApiVersion()}`;
+}
+
+function authHeaders(): Record<string, string> {
+  return { "api-key": getApiKey() };
+}
+
+function getAzureQuality(quality: CliArgs["quality"]): "medium" | "high" {
+  return quality === "2k" ? "high" : "medium";
+}
+
+export function validateArgs(_model: string, args: CliArgs): void {
+  for (const refPath of args.referenceImages) {
+    const ext = path.extname(refPath).toLowerCase();
+    if (!AZURE_EDIT_IMAGE_EXTENSIONS.has(ext)) {
+      throw new Error(
+        `Azure OpenAI reference images must be PNG or JPG/JPEG. Unsupported file: ${refPath}`
+      );
+    }
+  }
+}
+
+export async function generateImage(
+  prompt: string,
+  model: string,
+  args: CliArgs
+): Promise<Uint8Array> {
+  const deployment = getDeployment(model);
+  const size = args.size || getOpenAISize(model, args.aspectRatio, args.quality);
+
+  if (args.referenceImages.length > 0) {
+    return generateWithAzureEdits(prompt, deployment, size, args.referenceImages, args.quality);
+  }
+
+  return generateWithAzureGenerations(prompt, deployment, size, args.quality);
+}
+
+async function generateWithAzureGenerations(
+  prompt: string,
+  deployment: string,
+  size: string,
+  quality: CliArgs["quality"]
+): Promise<Uint8Array> {
+  const body: Record<string, any> = {
+    prompt,
+    size,
+    n: 1,
+    quality: getAzureQuality(quality),
+  };
+
+  const res = await fetch(buildURL(deployment, "/images/generations"), {
+    method: "POST",
+    headers: {
+      "Content-Type": "application/json",
+      ...authHeaders(),
+    },
+    body: JSON.stringify(body),
+  });
+
+  if (!res.ok) {
+    const err = await res.text();
+    throw new Error(`Azure OpenAI API error: ${err}`);
+  }
+
+  const result = (await res.json()) as OpenAIImageResponse;
+  return extractImageFromResponse(result);
+}
+
+async function generateWithAzureEdits(
+  prompt: string,
+  deployment: string,
+  size: string,
+  referenceImages: string[],
+  quality: CliArgs["quality"]
+): Promise<Uint8Array> {
+  const form = new FormData();
+  form.append("prompt", prompt);
+  form.append("size", size);
+  form.append("n", "1");
+  form.append("quality", getAzureQuality(quality));
+
+  for (const refPath of referenceImages) {
+    const bytes = await readFile(refPath);
+    const filename = path.basename(refPath);
+    const mimeType = path.extname(filename).toLowerCase() === ".png" ? "image/png" : "image/jpeg";
+    const blob = new Blob([bytes], { type: mimeType });
+    form.append("image[]", blob, filename);
+  }
+
+  const res = await fetch(buildURL(deployment, "/images/edits"), {
+    method: "POST",
+    headers: {
+      ...authHeaders(),
+    },
+    body: form,
+  });
+
+  if (!res.ok) {
+    const err = await res.text();
+    throw new Error(`Azure OpenAI edits API error: ${err}`);
+  }
+
+  const result = (await res.json()) as OpenAIImageResponse;
+  return extractImageFromResponse(result);
+}

skills/baoyu-image-gen/scripts/providers/jimeng.test.ts

@@ -0,0 +1,114 @@
+import assert from "node:assert/strict";
+import test, { type TestContext } from "node:test";
+
+import type { CliArgs } from "../types.ts";
+import { generateImage } from "./jimeng.ts";
+
+function makeArgs(overrides: Partial<CliArgs> = {}): CliArgs {
+  return {
+    prompt: null,
+    promptFiles: [],
+    imagePath: null,
+    provider: null,
+    model: null,
+    aspectRatio: null,
+    size: null,
+    quality: null,
+    imageSize: null,
+    referenceImages: [],
+    n: 1,
+    batchFile: null,
+    jobs: null,
+    json: false,
+    help: false,
+    ...overrides,
+  };
+}
+
+function useEnv(
+  t: TestContext,
+  values: Record<string, string | null>,
+): void {
+  const previous = new Map<string, string | undefined>();
+  for (const [key, value] of Object.entries(values)) {
+    previous.set(key, process.env[key]);
+    if (value == null) {
+      delete process.env[key];
+    } else {
+      process.env[key] = value;
+    }
+  }
+
+  t.after(() => {
+    for (const [key, value] of previous.entries()) {
+      if (value == null) {
+        delete process.env[key];
+      } else {
+        process.env[key] = value;
+      }
+    }
+  });
+}
+
+test("Jimeng submit request uses prompt field expected by current API", async (t) => {
+  useEnv(t, {
+    JIMENG_ACCESS_KEY_ID: "test-access-key",
+    JIMENG_SECRET_ACCESS_KEY: "test-secret-key",
+    JIMENG_BASE_URL: null,
+    JIMENG_REGION: null,
+  });
+
+  const originalFetch = globalThis.fetch;
+  t.after(() => {
+    globalThis.fetch = originalFetch;
+  });
+
+  const calls: Array<{
+    input: string;
+    init?: RequestInit;
+  }> = [];
+
+  globalThis.fetch = async (input, init) => {
+    calls.push({
+      input: String(input),
+      init,
+    });
+
+    if (calls.length === 1) {
+      return Response.json({
+        code: 10000,
+        data: {
+          task_id: "task-123",
+        },
+      });
+    }
+
+    return Response.json({
+      code: 10000,
+      data: {
+        status: "done",
+        binary_data_base64: [Buffer.from("jimeng-image").toString("base64")],
+      },
+    });
+  };
+
+  const image = await generateImage(
+    "A quiet bamboo forest",
+    "jimeng_t2i_v40",
+    makeArgs({ quality: "normal" }),
+  );
+
+  assert.equal(Buffer.from(image).toString("utf8"), "jimeng-image");
+  assert.equal(calls.length, 2);
+  assert.equal(
+    calls[0]?.input,
+    "https://visual.volcengineapi.com/?Action=CVSync2AsyncSubmitTask&Version=2022-08-31",
+  );
+
+  const submitBody = JSON.parse(String(calls[0]?.init?.body)) as Record<string, unknown>;
+  assert.equal(submitBody.req_key, "jimeng_t2i_v40");
+  assert.equal(submitBody.prompt, "A quiet bamboo forest");
+  assert.ok(!("prompt_text" in submitBody));
+  assert.equal(submitBody.width, 1024);
+  assert.equal(submitBody.height, 1024);
+});

skills/baoyu-image-gen/scripts/providers/jimeng.ts

@@ -246,7 +246,7 @@ async function submitTask(
   const [width, height] = size.split("x").map(Number);
   const bodyObj = {
     req_key: model,
-    prompt_text: prompt,
+    prompt,
     // Use separate width and height parameters instead of size string
     width: width,
     height: height,

skills/baoyu-image-gen/scripts/types.ts

@@ -1,4 +1,4 @@
-export type Provider = "google" | "openai" | "openrouter" | "dashscope" | "replicate" | "jimeng" | "seedream";
+export type Provider = "google" | "openai" | "openrouter" | "dashscope" | "replicate" | "jimeng" | "seedream" | "azure";
 export type Quality = "normal" | "2k";
 
 export type CliArgs = {
@@ -55,6 +55,7 @@ export type ExtendConfig = {
     replicate: string | null;
     jimeng: string | null;
     seedream: string | null;
+    azure: string | null;
   };
   batch?: {
     max_workers?: number | null;