Add baoyu-skills package

2026-09-13 07:37:15 +08:00
commit 832004bd6f
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--- a/baoyu-skills/skills/baoyu-image-gen/references/codex-image2-fallback.md
+++ b/baoyu-skills/skills/baoyu-image-gen/references/codex-image2-fallback.md
@@ -0,0 +1,35 @@
+---
+name: codex-image2-fallback
+description: Fallback behavior when baoyu-image-gen lacks OpenAI API credentials but Codex/native image generation is available
+---
+
+# Codex Image2 Fallback
+
+When using `baoyu-image-gen` with `--provider openai --model gpt-image-2.5-flare`, the CLI can fail with:
+
+```text
+OPENAI_API_KEY is required. Codex/ChatGPT desktop login does not automatically grant OpenAI Images API access to this script.
+```
+
+This is expected. The `openai` provider uses the public OpenAI Images API and needs `OPENAI_API_KEY`. Codex / ChatGPT image2 entitlement is a separate runtime-native path.
+
+## Practical fallback pattern
+
+1. Try `baoyu-image-gen` when provider credentials are available.
+2. If it fails only because `OPENAI_API_KEY` is missing, do not leave the user waiting.
+3. Prefer a Codex/native raster backend in this order:
+   - Codex runtime native `imagegen` skill/tool, if available.
+   - `baoyu-image-gen --provider codex-cli` (preferred — wraps the bundled `scripts/codex-imagegen/main.ts`; the underlying repo-level package lives at `packages/baoyu-codex-imagegen/src/main.ts` for standalone callers), if `codex` CLI is installed/logged in.
+   - Hermes native `image_generate`, if available.
+4. Be transparent about reference-image behavior:
+   - If the fallback backend accepts references, pass the reference images.
+   - If it does not, derive a concise identity-preserving prompt from the references and state that it is a text-description fallback, not strict reference-image editing.
+5. Return the generated media path or structured backend error promptly.
+
+## User-facing wording
+
+Use concise wording such as:
+
+> The OpenAI API path needs `OPENAI_API_KEY`; Codex login is a separate image2 backend. I used the available Codex/native image backend instead. Reference images were [passed directly / reconstructed from visual traits].
+
+Avoid implying that `baoyu-image-gen --provider openai` can use Codex OAuth without a dedicated provider implementation.
--- a/baoyu-skills/skills/baoyu-image-gen/references/codex-oauth-vs-openai-api-key.md
+++ b/baoyu-skills/skills/baoyu-image-gen/references/codex-oauth-vs-openai-api-key.md
@@ -0,0 +1,18 @@
+# Codex OAuth vs OpenAI API key for baoyu-image-gen
+
+`baoyu-image-gen --provider openai` uses the standard OpenAI Images API and requires `OPENAI_API_KEY`. It calls OpenAI-compatible image endpoints such as `/images/generations` and `/images/edits`.
+
+Codex / ChatGPT login is different. Codex image generation is driven by Codex OAuth and the Codex runtime's `image_gen` capability, not by the public OpenAI Images API key path. A Codex OAuth token is not a drop-in replacement for `OPENAI_API_KEY`, and setting `OPENAI_BASE_URL` to a Codex backend will not make baoyu-image-gen's existing `openai` provider work because the auth, route, and payload shape differ.
+
+## What to use instead
+
+- If running inside Codex and the native `imagegen` skill/tool is available, use it directly.
+- If running outside Codex but the `codex` CLI is installed and logged in, call `baoyu-image-gen --provider codex-cli` (preferred). It spawns the bundled `scripts/codex-imagegen/main.ts` and surfaces its retry/cache/log machinery through baoyu-image-gen's standard CLI + batch flow. Standalone callers outside this skill can run the same code at `packages/baoyu-codex-imagegen/src/main.ts`. Both invoke `codex exec` and the Codex `image_gen` tool; no `OPENAI_API_KEY` is required.
+- If running inside Hermes and a native `image_generate` tool is available, use that as a runtime-native fallback. Be explicit about whether reference images are passed directly or only reconstructed from extracted traits.
+- `baoyu-image-gen` already exposes a distinct `codex-cli` provider (wraps the bundled `scripts/codex-imagegen/`); do not modify the existing `openai` provider to add Codex OAuth.
+
+## Reference-image prompting note
+
+When using actual reference images for identity preservation, avoid long generic descriptions of the subject. Long descriptions can cause the model to synthesize a new similar-looking person/object. Prefer direct wording:
+
+> Use the person/object in the reference image(s) as the same identity. Do not redesign it or create a similar-looking new subject. Only change scene, clothing, pose, lighting, rendering style, and composition.
--- a/baoyu-skills/skills/baoyu-image-gen/references/config/first-time-setup.md
+++ b/baoyu-skills/skills/baoyu-image-gen/references/config/first-time-setup.md
@@ -0,0 +1,392 @@
+---
+name: first-time-setup
+description: First-time setup and default model selection flow for baoyu-image-gen
+---
+
+# First-Time Setup
+
+## Overview
+
+Triggered when:
+1. No EXTEND.md found → full setup (provider + model + preferences)
+2. EXTEND.md found but `default_model.[provider]` is null → model selection only
+
+## Setup Flow
+
+```
+No EXTEND.md found          EXTEND.md found, model null
+        │                            │
+        ▼                            ▼
+┌─────────────────────┐    ┌──────────────────────┐
+│ AskUserQuestion     │    │ AskUserQuestion      │
+│ (full setup)        │    │ (model only)         │
+└─────────────────────┘    └──────────────────────┘
+        │                            │
+        ▼                            ▼
+┌─────────────────────┐    ┌──────────────────────┐
+│ Create EXTEND.md    │    │ Update EXTEND.md     │
+└─────────────────────┘    └──────────────────────┘
+        │                            │
+        ▼                            ▼
+    Continue                     Continue
+```
+
+## Flow 1: No EXTEND.md (Full Setup)
+
+**Language**: Use user's input language or saved language preference.
+
+Use AskUserQuestion with ALL questions in ONE call:
+
+### Question 1: Default Provider
+
+```yaml
+header: "Provider"
+question: "Default image generation provider?"
+options:
+  - label: "Google (Recommended)"
+    description: "Gemini multimodal - high quality, reference images, flexible sizes"
+  - label: "OpenAI"
+    description: "GPT Image 2 - latest OpenAI image model, reference-image workflows"
+  - 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"
+    description: "Alibaba Cloud - Qwen-Image, strong Chinese/English text rendering"
+  - label: "Z.AI"
+    description: "GLM-image, strong poster and text-heavy image generation"
+  - label: "MiniMax"
+    description: "MiniMax image generation with subject-reference character workflows"
+  - label: "Replicate"
+    description: "Curated Replicate image families - nano-banana-2, Seedream, and Wan image models"
+  - label: "Agnes"
+    description: "Sapiens AI Agnes - optimized for high information density, complex layouts, reference-image support"
+```
+
+### Question 2: Default Google Model
+
+Only show if user selected Google or auto-detect (no explicit provider).
+
+```yaml
+header: "Google Model"
+question: "Default Google image generation model?"
+options:
+  - label: "gemini-3-pro-image (Recommended)"
+    description: "Highest quality, best for production use"
+  - label: "gemini-3.1-flash-image"
+    description: "Fast generation, good quality, lower cost"
+  - label: "gemini-3.1-flash-lite-image"
+    description: "Cheapest and fastest; 1K output only"
+  - label: "gemini-3-flash-preview"
+    description: "Fast generation, balanced quality and speed"
+```
+
+### Question 2b: Default OpenRouter Model
+
+Only show if user selected OpenRouter.
+
+```yaml
+header: "OpenRouter Model"
+question: "Default OpenRouter image generation model?"
+options:
+  - label: "google/gemini-3.1-flash-image (Recommended)"
+    description: "Best general-purpose OpenRouter image model with reference-image workflows"
+  - label: "google/gemini-2.5-flash-image-preview"
+    description: "Fast Gemini preview model on OpenRouter"
+  - label: "black-forest-labs/flux.2-pro"
+    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-2.5-flare (Recommended)"
+    description: "Use if your Azure deployment uses the GPT Image 2.5 Flare model name"
+  - label: "gpt-image-2.5-sunburst"
+    description: "Use if your Azure deployment uses the GPT Image 2.5 Sunburst model name"
+  - label: "gpt-image-2"
+    description: "Use if your Azure deployment uses the GPT Image 2 model name"
+  - label: "gpt-image-1.5"
+    description: "Previous GPT Image deployment name"
+  - label: "gpt-image-1"
+    description: "Earlier GPT Image deployment name"
+```
+
+### Question 2d: Default MiniMax Model
+
+Only show if user selected MiniMax.
+
+```yaml
+header: "MiniMax Model"
+question: "Default MiniMax image generation model?"
+options:
+  - label: "image-01 (Recommended)"
+    description: "Best default, supports aspect ratios and custom width/height"
+  - label: "image-01-live"
+    description: "Faster variant, use aspect ratio instead of custom size"
+```
+
+### Question 2e: Default Z.AI Model
+
+Only show if user selected Z.AI.
+
+```yaml
+header: "Z.AI Model"
+question: "Default Z.AI image generation model?"
+options:
+  - label: "glm-image (Recommended)"
+    description: "Best default for posters, diagrams, and text-heavy images"
+  - label: "cogview-4-250304"
+    description: "Legacy Z.AI image model on the same endpoint"
+```
+
+### Question 3: Default Quality
+
+```yaml
+header: "Quality"
+question: "Default image quality?"
+options:
+  - label: "2k (Recommended)"
+    description: "2048px - covers, illustrations, infographics"
+  - label: "normal"
+    description: "1024px - quick previews, drafts"
+```
+
+### Question 4: Save Location
+
+```yaml
+header: "Save"
+question: "Where to save preferences?"
+options:
+  - label: "Project (Recommended)"
+    description: ".baoyu-skills/ (this project only)"
+  - label: "User"
+    description: "~/.baoyu-skills/ (all projects)"
+```
+
+### Save Locations
+
+| Choice | Path | Scope |
+|--------|------|-------|
+| Project | `.baoyu-skills/baoyu-image-gen/EXTEND.md` | Current project |
+| User | `$HOME/.baoyu-skills/baoyu-image-gen/EXTEND.md` | All projects |
+
+### EXTEND.md Template
+
+```yaml
+---
+version: 1
+default_provider: [selected provider or null]
+default_quality: [selected quality]
+default_aspect_ratio: null
+default_image_size: null
+default_image_api_dialect: 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
+  zai: [selected Z.AI model or null]
+  minimax: [selected minimax model or null]
+  replicate: null
+  agnes: null
+---
+```
+
+If the user selects `OpenAI` but says their endpoint is only OpenAI-compatible and fronts another image model family, save `default_image_api_dialect: ratio-metadata` when they explicitly confirm the gateway expects aspect-ratio `size` plus metadata-based resolution. Otherwise leave it `null` / `openai-native`.
+
+## Flow 2: EXTEND.md Exists, Model Null
+
+When EXTEND.md exists but `default_model.[current_provider]` is null, ask ONLY the model question for the current provider.
+
+### Google Model Selection
+
+```yaml
+header: "Google Model"
+question: "Choose a default Google image generation model?"
+options:
+  - label: "gemini-3-pro-image (Recommended)"
+    description: "Highest quality, best for production use"
+  - label: "gemini-3.1-flash-image"
+    description: "Fast generation, good quality, lower cost"
+  - label: "gemini-3.1-flash-lite-image"
+    description: "Cheapest and fastest; 1K output only"
+  - label: "gemini-3-flash-preview"
+    description: "Fast generation, balanced quality and speed"
+```
+
+### OpenAI Model Selection
+
+```yaml
+header: "OpenAI Model"
+question: "Choose a default OpenAI image generation model?"
+options:
+  - label: "gpt-image-2.5-flare (Recommended)"
+    description: "Latest GPT Image model, fastest; flexible sizes up to 4K, high-fidelity image inputs"
+  - label: "gpt-image-2.5-sunburst"
+    description: "Most capable GPT Image model for complex scenes and precise edits; slower"
+  - label: "gpt-image-2"
+    description: "Previous GPT Image generation, flexible sizes up to 4K"
+  - label: "gpt-image-1.5"
+    description: "Previous GPT Image model"
+  - label: "gpt-image-1"
+    description: "Earlier GPT Image model"
+```
+
+### Azure Deployment Selection
+
+```yaml
+header: "Azure Deploy"
+question: "Choose a default Azure image deployment name?"
+options:
+  - label: "gpt-image-2.5-flare (Recommended)"
+    description: "Use when your Azure deployment name matches the GPT Image 2.5 Flare model"
+  - label: "gpt-image-2.5-sunburst"
+    description: "Use when your Azure deployment name matches the GPT Image 2.5 Sunburst model"
+  - label: "gpt-image-2"
+    description: "Use when your Azure deployment name matches the GPT Image 2 model"
+  - label: "gpt-image-1.5"
+    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
+header: "OpenRouter Model"
+question: "Choose a default OpenRouter image generation model?"
+options:
+  - label: "google/gemini-3.1-flash-image (Recommended)"
+    description: "Recommended for image output and reference-image edits"
+  - label: "google/gemini-2.5-flash-image-preview"
+    description: "Fast preview-oriented image generation"
+  - label: "black-forest-labs/flux.2-pro"
+    description: "High-quality text-to-image through OpenRouter"
+```
+
+### DashScope Model Selection
+
+```yaml
+header: "DashScope Model"
+question: "Choose a default DashScope image generation model?"
+options:
+  - label: "qwen-image-2.0-pro (Recommended)"
+    description: "Best-verified DashScope model for text rendering and custom sizes"
+  - label: "qwen-image-3.0-pro"
+    description: "Newest Qwen flagship; same sizing rules, not yet the built-in default"
+  - label: "qwen-image-2.0"
+    description: "Faster 2.0 variant with flexible output size"
+  - label: "qwen-image-max"
+    description: "Legacy Qwen model with five fixed output sizes"
+  - label: "qwen-image-plus"
+    description: "Legacy Qwen model, same current capability as qwen-image"
+  - label: "wan2.7-image-pro"
+    description: "Wan 2.7 Pro — supports up to 4K text-to-image and reference-image editing"
+  - label: "wan2.7-image"
+    description: "Wan 2.7 base — faster generation, up to 2K, supports reference-image editing"
+  - label: "z-image-turbo"
+    description: "Legacy DashScope model for compatibility"
+  - label: "z-image-ultra"
+    description: "Legacy DashScope model, higher quality but slower"
+```
+
+Notes for DashScope setup:
+
+- Prefer `qwen-image-2.0-pro` (or the newer `qwen-image-3.0-pro`) when the user needs custom `--size`, uncommon ratios like `21:9`, or strong Chinese/English text rendering.
+- `qwen-image-max` / `qwen-image-plus` / `qwen-image` only support five fixed sizes: `1664*928`, `1472*1104`, `1328*1328`, `1104*1472`, `928*1664`.
+- `wan2.7-image-pro` and `wan2.7-image` are the only DashScope models that accept `--ref`. Pick one of these when the user wants reference-image editing or multi-image fusion via DashScope.
+- In `baoyu-image-gen`, `quality` is a compatibility preset. It is not a native DashScope parameter.
+
+### Z.AI Model Selection
+
+```yaml
+header: "Z.AI Model"
+question: "Choose a default Z.AI image generation model?"
+options:
+  - label: "glm-image (Recommended)"
+    description: "Current flagship image model with better text rendering and poster layouts"
+  - label: "cogview-4-250304"
+    description: "Legacy model on the sync image endpoint"
+```
+
+Notes for Z.AI setup:
+
+- Prefer `glm-image` for posters, diagrams, and Chinese/English text-heavy layouts.
+- In `baoyu-image-gen`, Z.AI currently exposes text-to-image only; reference images are not wired for this provider.
+- The sync Z.AI image API returns a downloadable image URL, which the runtime saves locally after download.
+
+### Replicate Model Selection
+
+```yaml
+header: "Replicate Model"
+question: "Choose a default Replicate image generation model?"
+options:
+  - label: "google/nano-banana-2 (Recommended)"
+    description: "Current default for general Replicate image generation in baoyu-image-gen"
+  - label: "bytedance/seedream-4.5"
+    description: "Replicate Seedream 4.5 with validated local size/ref guardrails"
+  - label: "bytedance/seedream-5-lite"
+    description: "Replicate Seedream 5 Lite with validated local size/ref guardrails"
+  - label: "wan-video/wan-2.7-image-pro"
+    description: "Replicate Wan 2.7 Image Pro with 4K text-to-image support"
+```
+
+### MiniMax Model Selection
+
+```yaml
+header: "MiniMax Model"
+question: "Choose a default MiniMax image generation model?"
+options:
+  - label: "image-01 (Recommended)"
+    description: "Best general-purpose MiniMax image model with custom width/height support"
+  - label: "image-01-live"
+    description: "Lower-latency MiniMax image model using aspect ratios"
+```
+
+Notes for MiniMax setup:
+
+- `image-01` is the safest default. It supports official `aspect_ratio` values and documented custom `width` / `height` output sizes.
+- `image-01-live` is useful when the user prefers faster generation and can work with aspect-ratio-based sizing.
+- MiniMax subject reference currently uses `subject_reference[].type = character`; docs recommend front-facing portrait references in JPG/JPEG/PNG under 10MB.
+
+### Update EXTEND.md
+
+After user selects a model:
+
+1. Read existing EXTEND.md
+2. If `default_model:` section exists → update the provider-specific key
+3. If `default_model:` section missing → add the full section:
+
+```yaml
+default_model:
+  google: [value or null]
+  openai: [value or null]
+  azure: [value or null]
+  openrouter: [value or null]
+  dashscope: [value or null]
+  zai: [value or null]
+  minimax: [value or null]
+  replicate: [value or null]
+  agnes: [value or null]
+```
+
+Only set the selected provider's model; leave others as their current value or null.
+
+## After Setup
+
+1. Create directory if needed
+2. Write/update EXTEND.md with frontmatter
+3. Confirm: "Preferences saved to [path]"
+4. Continue with image generation
--- a/baoyu-skills/skills/baoyu-image-gen/references/config/preferences-schema.md
+++ b/baoyu-skills/skills/baoyu-image-gen/references/config/preferences-schema.md
@@ -0,0 +1,149 @@
+---
+name: preferences-schema
+description: EXTEND.md YAML schema for baoyu-image-gen user preferences
+---
+
+# Preferences Schema
+
+## Full Schema
+
+```yaml
+---
+version: 1
+
+default_provider: null      # google|openai|azure|openrouter|dashscope|zai|minimax|replicate|jimeng|seedream|codex-cli|agnes|null (null = auto-detect; codex-cli is never auto-detected — pin it here or via --provider)
+
+default_quality: null       # normal|2k|null (null = use default: 2k)
+
+default_aspect_ratio: null  # "16:9"|"1:1"|"4:3"|"3:4"|"2.35:1"|null
+
+default_image_size: null    # 1K|2K|4K|null (Google/OpenRouter, overrides quality)
+
+default_image_api_dialect: null  # openai-native|ratio-metadata|null (OpenAI-compatible gateways; null = use env/default)
+
+default_model:
+  google: null              # e.g., "gemini-3-pro-image", "gemini-3.1-flash-image", "gemini-3.1-flash-lite-image"
+  openai: null              # e.g., "gpt-image-2.5-flare", "gpt-image-2.5-sunburst", "gpt-image-2", "gpt-image-1.5"
+  azure: null               # Azure deployment name, e.g., "gpt-image-2.5-flare" or "image-prod"
+  openrouter: null          # e.g., "google/gemini-3.1-flash-image"
+  dashscope: null           # e.g., "qwen-image-3.0-pro", "qwen-image-2.0-pro"
+  zai: null                 # e.g., "glm-image"
+  minimax: null             # e.g., "image-01"
+  replicate: null           # e.g., "google/nano-banana-2"
+  codex-cli: null           # Logical label only — Codex image_gen has no user-selectable model. Default: "codex-image-gen"
+  agnes: null               # e.g., "agnes-image-2.5-flash"
+
+batch:
+  max_workers: 10
+  provider_limits:
+    replicate:
+      concurrency: 5
+      start_interval_ms: 700
+    google:
+      concurrency: 3
+      start_interval_ms: 1100
+    openai:
+      concurrency: 3
+      start_interval_ms: 1100
+    azure:
+      concurrency: 3
+      start_interval_ms: 1100
+    openrouter:
+      concurrency: 3
+      start_interval_ms: 1100
+    dashscope:
+      concurrency: 3
+      start_interval_ms: 1100
+    zai:
+      concurrency: 3
+      start_interval_ms: 1100
+    minimax:
+      concurrency: 3
+      start_interval_ms: 1100
+    codex-cli:
+      concurrency: 1
+      start_interval_ms: 2000
+    agnes:
+      concurrency: 3
+      start_interval_ms: 1100
+---
+```
+
+## Field Reference
+
+| Field | Type | Default | Description |
+|-------|------|---------|-------------|
+| `version` | int | 1 | Schema version |
+| `default_provider` | string\|null | null | Default provider (null = auto-detect) |
+| `default_quality` | string\|null | null | Default quality (null = 2k) |
+| `default_aspect_ratio` | string\|null | null | Default aspect ratio |
+| `default_image_size` | string\|null | null | Google/OpenRouter image size (overrides quality) |
+| `default_image_api_dialect` | string\|null | null | OpenAI-compatible image dialect (`openai-native` or `ratio-metadata`) |
+| `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.zai` | string\|null | null | Z.AI default model |
+| `default_model.minimax` | string\|null | null | MiniMax default model |
+| `default_model.replicate` | string\|null | null | Replicate default model |
+| `default_model.codex-cli` | string\|null | null | Codex-CLI logical label (Codex image_gen has no user-selectable model) |
+| `default_model.agnes` | string\|null | null | Agnes default model |
+| `batch.max_workers` | int\|null | 10 | Batch worker cap |
+| `batch.provider_limits.<provider>.concurrency` | int\|null | provider default | Max simultaneous requests per provider |
+| `batch.provider_limits.<provider>.start_interval_ms` | int\|null | provider default | Minimum gap between request starts per provider |
+
+## Examples
+
+**Minimal**:
+```yaml
+---
+version: 1
+default_provider: google
+default_quality: 2k
+default_image_api_dialect: null
+---
+```
+
+**Full**:
+```yaml
+---
+version: 1
+default_provider: google
+default_quality: 2k
+default_aspect_ratio: "16:9"
+default_image_size: 2K
+default_image_api_dialect: null
+default_model:
+  google: "gemini-3-pro-image"
+  openai: "gpt-image-2.5-flare"
+  azure: "gpt-image-2.5-flare"
+  openrouter: "google/gemini-3.1-flash-image"
+  dashscope: "qwen-image-2.0-pro"
+  zai: "glm-image"
+  minimax: "image-01"
+  replicate: "google/nano-banana-2"
+  agnes: "agnes-image-2.5-flash"
+batch:
+  max_workers: 10
+  provider_limits:
+    replicate:
+      concurrency: 5
+      start_interval_ms: 700
+    azure:
+      concurrency: 3
+      start_interval_ms: 1100
+    zai:
+      concurrency: 3
+      start_interval_ms: 1100
+    openrouter:
+      concurrency: 3
+      start_interval_ms: 1100
+    minimax:
+      concurrency: 3
+      start_interval_ms: 1100
+    agnes:
+      concurrency: 3
+      start_interval_ms: 1100
+---
+```
--- a/baoyu-skills/skills/baoyu-image-gen/references/providers/agnes.md
+++ b/baoyu-skills/skills/baoyu-image-gen/references/providers/agnes.md
@@ -0,0 +1,55 @@
+# Sapiens AI Agnes Image
+
+Read when the user picks `--provider agnes` or sets `default_model.agnes`. Default model is `agnes-image-2.5-flash`.
+
+## Models
+
+**`agnes-image-2.5-flash`** (only model)
+
+- Text-to-image and image-to-image (with `--ref`) in a single `/images/generations` endpoint
+- Supports reference images as public URLs or Data URI (base64)
+- Optimized for high information density, complex layouts, and rich details
+- Size rules: both dimensions divisible by 32 (720px exception), long edge ≤ 2048, total pixels ≤ ~4M
+- Default size: `1024x1024`; custom `--size` supports arbitrary WxH within the above rules
+- `--ar` supported: computed as 2048-based size (long edge ≤ 2048, short edge proportional, both snapped to 32px); `1:1` special-cased to `1024x1024`
+
+## Response Format
+
+- The sync API always returns a URL
+- Default (`--response-format file`): downloads the image and saves as `.png`
+- Pass `--response-format url`: writes the URL string to `.txt` instead
+
+## `--n` Behavior
+
+The Agnes API returns a single image per request regardless of the `n` parameter. Passing `--n > 1` triggers a local error from `validateArgs` before any API call is made.
+
+## Behavior Notes
+
+- API key required: `AGNES_API_KEY`
+- Base URL: `https://apihub.agnes-ai.com/v1` (override with `AGNES_BASE_URL`)
+- Model override: `AGNES_IMAGE_MODEL` env
+- `response_format` is always embedded in `extra_body` (not at request top level)
+- Reference images: local files converted to Data URI base64 inline; remote URLs passed through
+- Rate limit defaults: concurrency=3, startIntervalMs=1100 (override via `BAOYU_IMAGE_GEN_AGNES_CONCURRENCY` / `BAOYU_IMAGE_GEN_AGNES_START_INTERVAL_MS`)
+- Timeout: 120s per request
+
+## Size Resolution
+
+- `--size <WxH>` wins over `--ar`
+- `--ar` maps to a concrete size using the algorithm: long edge ≤ 2048, short edge proportional, both dimensions snapped to 32px
+- `--ar 1:1` is special-cased to `1024x1024`
+
+### Common `--ar` Results
+
+| Aspect Ratio | Result |
+|--------------|--------|
+| `1:1` | `1024x1024` |
+| `16:9` | `2048x1152` |
+| `4:3` | `2048x1536` |
+| `3:2` | `2048x1376` |
+| `21:9` | `2048x896` |
+| Unlisted ratio | Computed on the fly (portrait mirror swaps width/height) |
+
+## Official References
+
+- [Agnes AIGC API Hub](https://apihub.agnes-ai.com)
--- a/baoyu-skills/skills/baoyu-image-gen/references/providers/codex-cli.md
+++ b/baoyu-skills/skills/baoyu-image-gen/references/providers/codex-cli.md
@@ -0,0 +1,81 @@
+# Codex CLI (`--provider codex-cli`)
+
+Read when the user picks `--provider codex-cli`, sets `default_provider: codex-cli`, or asks for "Codex image generation without an OpenAI API key". This provider is a thin baoyu-image-gen wrapper around the bundled `scripts/codex-imagegen/main.ts` (synced from `packages/baoyu-codex-imagegen`), which spawns `codex exec --json --sandbox danger-full-access` and routes the request to Codex CLI's built-in `image_gen` tool. The Codex CLI uses the **user's Codex / ChatGPT subscription** — no `OPENAI_API_KEY` is read or sent.
+
+## Prerequisites
+
+```bash
+npm install -g @openai/codex
+codex login            # signs in with the user's OpenAI / Codex account
+codex --version        # confirm >= 0.130
+```
+
+`bun` is required for running the underlying wrapper (`scripts/codex-imagegen/main.ts`, carrying `#!/usr/bin/env bun`). If `bun` is missing from the runtime, `npx -y bun` works as a fallback.
+
+## Selection
+
+- **Never auto-selected.** `detectProvider` only picks `codex-cli` when it is pinned explicitly: pass `--provider codex-cli` or set `default_provider: codex-cli` in EXTEND.md.
+- Choose this provider when:
+  - The user has a Codex subscription and explicitly does **not** want to manage an OpenAI API key.
+  - You need Codex's specific `image_gen` behavior or quality.
+- Avoid this provider when latency matters — Codex CLI is typically 5–10× slower than direct OpenAI / Google API calls (except on cache hits).
+
+## Supported flags
+
+| Flag | Behavior |
+|------|----------|
+| `--prompt <text>` / `--promptfiles <files>` | Required. Written to a temp file and passed to the wrapper as `--prompt-file`. |
+| `--image <path>` | Required. Final output PNG location. |
+| `--ar <ratio>` | Mapped to wrapper's `--aspect`. Supported by Codex: `1:1` (default), `16:9`, `9:16`, `4:3`, `2.35:1`. |
+| `--ref <files...>` | Mapped to wrapper's repeated `--ref`. Codex's `image_gen` accepts reference images for style/composition guidance. |
+| `--n` | Must be `1`. `validateArgs` throws if `n > 1` because Codex `image_gen` returns a single image per call. |
+| `--imageApiDialect` | Not applicable. Throws if set to a non-default value. |
+| `--size`, `--imageSize`, `--quality` | Silently ignored — Codex picks pixel dimensions from the aspect ratio. |
+| `--model`, `-m` | Logical label only. The wrapper does not forward a model selector to Codex; the underlying engine is whichever model Codex's `image_gen` currently uses. Default label: `codex-image-gen`. |
+
+## Environment variables
+
+| Variable | Effect |
+|----------|--------|
+| `BAOYU_CODEX_IMAGEGEN_BIN` | Override the wrapper path. Default: bundled `scripts/codex-imagegen/main.ts` resolved relative to this skill's installed location. Accepts a `.ts` file (spawned with `bun`) or a legacy `.sh`/binary (spawned directly). |
+| `BAOYU_CODEX_IMAGEGEN_CACHE_DIR` | Enable the wrapper's idempotency cache. Disabled by default; set to e.g. `~/.cache/baoyu-codex-imagegen` for high-value reuse. |
+| `BAOYU_CODEX_IMAGEGEN_TIMEOUT_MS` | Per-attempt `codex exec` timeout in ms. Default: `300000` (5 min). Raise for slow networks or large prompts. |
+| `BAOYU_CODEX_IMAGEGEN_RETRIES` | Wrapper-side retry attempts on retryable errors. Default: `2` (3 total attempts). |
+| `BAOYU_CODEX_IMAGEGEN_LOG_FILE` | Append a structured JSONL diagnostic log. Useful when triaging timeouts or `agent_refused` errors. |
+| `BAOYU_IMAGE_GEN_CODEX_CLI_CONCURRENCY` | Batch-mode concurrency for the `codex-cli` provider. Default: `1` — Codex exec is a heavy single-process workflow; raising this rarely helps. |
+| `BAOYU_IMAGE_GEN_CODEX_CLI_START_INTERVAL_MS` | Batch-mode minimum start-gap. Default: `2000` ms. |
+
+## Error model
+
+The wrapper emits a single JSON line on stdout. On failure:
+
+```json
+{"status":"error","path":"...","bytes":0,"error":"...","error_kind":"..."}
+```
+
+The provider re-throws each wrapper error as `Invalid codex-cli result (<error_kind>): <message>`. The `"Invalid "` prefix triggers `isRetryableGenerationError` to mark it **non-retryable** in baoyu-image-gen's outer retry loop — the wrapper has already retried internally per `BAOYU_CODEX_IMAGEGEN_RETRIES`, so re-spawning Codex from main.ts would only multiply latency without changing the outcome.
+
+`error_kind` values to expect:
+
+| Kind | Cause | Action |
+|------|-------|--------|
+| `codex_not_installed` | `codex` not on `PATH` or unreadable | `npm install -g @openai/codex`, then `codex login`. |
+| `invalid_args` | Programmer error in the spawn invocation | Inspect provider source; usually a path-injection guard fired. |
+| `prompt_file_missing` | Temp prompt file vanished mid-call | Retry once; check `$TMPDIR` permissions. |
+| `spawn_failed` | OS / process-launch failure | Verify `bun` or `npx` is installed; check filesystem permissions. |
+| `timeout` | `codex exec` exceeded `--timeout` | Raise `BAOYU_CODEX_IMAGEGEN_TIMEOUT_MS`; check network. |
+| `no_image_gen_tool_use` | Codex agent answered without calling `image_gen` | Often transient — retry. If persistent, refine the prompt. |
+| `output_missing` / `invalid_png` | Agent reported success but file is absent or not a valid PNG | Retry; check disk space. |
+| `agent_refused` | Codex agent refused (policy or content) | Adjust the prompt; surface the refusal to the user. |
+| `lock_busy` | Another `codex-imagegen` invocation holds the file lock | Wait or set a distinct `--cache-dir` per concurrent caller. |
+
+## Trade-offs
+
+- Slow: 5–10× direct OpenAI API latency (except cache hits).
+- Subject to the same TOS as interactive `codex exec` use — programmatic invocation from baoyu-image-gen is the same usage class.
+- Stateful: requires `codex login` to be live; an expired session manifests as `codex_not_installed` or `agent_refused`.
+
+## See also
+
+- `references/codex-oauth-vs-openai-api-key.md` — why Codex OAuth is not interchangeable with `OPENAI_API_KEY`.
+- `references/codex-image2-fallback.md` — when to fall back to `codex-cli` from a failed `openai` provider call.
--- a/baoyu-skills/skills/baoyu-image-gen/references/providers/dashscope.md
+++ b/baoyu-skills/skills/baoyu-image-gen/references/providers/dashscope.md
@@ -0,0 +1,71 @@
+# DashScope (阿里通义万象)
+
+Read when the user picks `--provider dashscope`, sets `default_model.dashscope`, or asks for Qwen-Image behavior. The SKILL.md only names the default — this file covers model families, sizing rules, and limits.
+
+## Model Families
+
+**`qwen-image-3.0*` / `qwen-image-2.0*`** — recommended modern family (identical sizing envelope). Members: `qwen-image-3.0-pro`, `qwen-image-2.0-pro`, `qwen-image-2.0-pro-2026-04-22`, `qwen-image-2.0-pro-2026-03-03`, `qwen-image-2.0`, `qwen-image-2.0-2026-03-03`.
+
+- `qwen-image-3.0-pro` is the newest flagship; `qwen-image-2.0-pro` remains the built-in default until the 3.0 request shape is verified end to end
+
+- Free-form `size` in `宽*高` format
+- Total pixels must be between `512*512` and `2048*2048`
+- Default ≈ `1024*1024`
+- Best choice for custom ratios (e.g. `21:9`) and text-heavy Chinese/English layouts
+
+**Fixed-size family** — `qwen-image-max`, `qwen-image-max-2025-12-30`, `qwen-image-plus`, `qwen-image-plus-2026-01-09`, `qwen-image`.
+
+- Only five sizes allowed: `1664*928`, `1472*1104`, `1328*1328`, `1104*1472`, `928*1664`
+- Default is `1664*928`
+- `qwen-image` currently has the same capability as `qwen-image-plus`
+
+**`wan2.7-image*`** — multimodal Wan 2.7 family. Members: `wan2.7-image-pro`, `wan2.7-image`.
+
+- Free-form `size` in `宽*高` format, plus aspect-ratio inference
+- `wan2.7-image-pro` text-to-image (no `--ref`): total pixels in `[768*768, 4096*4096]`, ratio in `[1:8, 8:1]`
+- `wan2.7-image-pro` with reference images and `wan2.7-image` (all scenarios): total pixels in `[768*768, 2048*2048]`, ratio in `[1:8, 8:1]`
+- Default: `1024*1024` (`--quality normal`) or `2048*2048` (`--quality 2k`); 4K requires explicit `--size`
+- Supports up to 9 reference images in `--ref` (image editing / multi-image fusion)
+- Reference images are sent inline as base64 (or passed through if the path is an `http(s)://` URL)
+- API does NOT use `prompt_extend`; the skill omits it for this family
+- The Wan 2.7 API defaults `n` to **4** in non-collage mode and bills per generated image. baoyu-image-gen forces `n: 1` and rejects `--n > 1` to avoid silently paying for and discarding extra images.
+
+**Legacy** — `z-image-turbo`, `z-image-ultra`, `wanx-v1`. Only use when the user explicitly asks for legacy behavior.
+
+## Size Resolution
+
+- `--size` wins over `--ar`
+- For `qwen-image-3.0*` / `qwen-image-2.0*`: prefer explicit `--size`; otherwise infer from `--ar` using the recommended table below
+- For `qwen-image-max/plus/image`: only use the five fixed sizes; if the requested ratio doesn't fit, switch to `qwen-image-2.0-pro` or `qwen-image-3.0-pro`
+- For `wan2.7-image*`: explicit `--size` is validated against the per-mode pixel/ratio limits; otherwise the size is derived from `--ar` and `--quality` (`normal` ≈ 1K, `2k` ≈ 2K). To request 4K with `wan2.7-image-pro` text-to-image, pass `--size` explicitly (e.g. `4096*4096`, `3840*2160`)
+- `--quality` is a baoyu-image-gen preset, not an official DashScope field. The mapping of `normal`/`2k` onto the `qwen-image-3.0*` / `qwen-image-2.0*` and `wan2.7-image*` tables is an implementation choice, not an API guarantee
+
+### Recommended `qwen-image-3.0*` / `qwen-image-2.0*` sizes
+
+| Ratio | `normal` | `2k` |
+|-------|----------|------|
+| `1:1` | `1024*1024` | `1536*1536` |
+| `2:3` | `768*1152` | `1024*1536` |
+| `3:2` | `1152*768` | `1536*1024` |
+| `3:4` | `960*1280` | `1080*1440` |
+| `4:3` | `1280*960` | `1440*1080` |
+| `9:16` | `720*1280` | `1080*1920` |
+| `16:9` | `1280*720` | `1920*1080` |
+| `21:9` | `1344*576` | `2048*872` |
+
+## Reference Images
+
+- Only `wan2.7-image-pro` and `wan2.7-image` accept `--ref`. Other DashScope models (qwen-image-3.0*, qwen-image-2.0*, qwen-image-max/plus/image, legacy) reject `--ref` and the user is steered to a different provider/model.
+- Up to 9 reference images per request. Local files are inlined as base64 data URLs; `http(s)://` URLs are forwarded as-is.
+- Supplying any `--ref` automatically clamps the wan2.7-image-pro pixel ceiling from 4K to 2K (the API only supports 4K for pure text-to-image with no image input).
+
+## Not Exposed
+
+DashScope APIs also support `negative_prompt`, `prompt_extend`, `watermark`, `thinking_mode`, `seed`, `bbox_list`, `enable_sequential`, and `color_palette`. `baoyu-image-gen` does not expose them as CLI flags today; the wan2.7 family relies on the API defaults (e.g. `thinking_mode=true`). The skill always sends `n=1` for wan2.7 — if you want grid/collage mode you currently need to call the API directly.
+
+## Official References
+
+- [Qwen-Image API](https://help.aliyun.com/zh/model-studio/qwen-image-api)
+- [Text-to-image guide](https://help.aliyun.com/zh/model-studio/text-to-image)
+- [Qwen-Image Edit API](https://help.aliyun.com/zh/model-studio/qwen-image-edit-api)
+- [Wan 2.7 image generation & editing API](https://help.aliyun.com/zh/model-studio/wan-image-generation-and-editing-api-reference)
--- a/baoyu-skills/skills/baoyu-image-gen/references/providers/minimax.md
+++ b/baoyu-skills/skills/baoyu-image-gen/references/providers/minimax.md
@@ -0,0 +1,29 @@
+# MiniMax
+
+Read when the user picks `--provider minimax` or sets `default_model.minimax`. Default model is `image-01`.
+
+## Models
+
+**`image-01`** (recommended default)
+
+- Supports text-to-image and subject-reference image generation
+- Supports official `aspect_ratio` values: `1:1`, `16:9`, `4:3`, `3:2`, `2:3`, `3:4`, `9:16`, `21:9`
+- Supports documented custom `width` / `height` via `--size <WxH>`
+- Both width and height must be in `[512, 2048]` and divisible by `8`
+
+**`image-01-live`** — lower-latency variant
+
+- Use `--ar` for sizing; MiniMax documents custom `width`/`height` only for `image-01`
+
+## Subject Reference
+
+- `--ref` files are sent as MiniMax `subject_reference`
+- `subject_reference[].type` is currently `character`
+- Official docs say `image_file` supports public URLs or Base64 Data URLs; baoyu-image-gen sends local refs as Data URLs
+- Recommended refs: front-facing portraits, JPG/JPEG/PNG, under 10MB
+
+## Official References
+
+- [Image Generation Guide](https://platform.minimaxi.com/docs/guides/image-generation)
+- [Text-to-Image API](https://platform.minimaxi.com/docs/api-reference/image-generation-t2i)
+- [Image-to-Image API](https://platform.minimaxi.com/docs/api-reference/image-generation-i2i)
--- a/baoyu-skills/skills/baoyu-image-gen/references/providers/openrouter.md
+++ b/baoyu-skills/skills/baoyu-image-gen/references/providers/openrouter.md
@@ -0,0 +1,19 @@
+# OpenRouter
+
+Read when the user picks `--provider openrouter`. Default model is `google/gemini-3.1-flash-image`.
+
+## Common Models
+
+Use full OpenRouter model IDs:
+
+- `google/gemini-3.1-flash-image` (recommended — supports image output and reference-image workflows)
+- `google/gemini-2.5-flash-image-preview`
+- `black-forest-labs/flux.2-pro`
+- Any other OpenRouter image-capable model ID
+
+## Behavior Notes
+
+- OpenRouter image generation uses `/chat/completions`, not the OpenAI `/images` endpoints
+- `--ref` requires a multimodal model that supports both image input and image output
+- `--imageSize` maps to `imageGenerationOptions.size`
+- `--size <WxH>` is converted to the nearest supported OpenRouter size, and the aspect ratio is inferred when possible
--- a/baoyu-skills/skills/baoyu-image-gen/references/providers/replicate.md
+++ b/baoyu-skills/skills/baoyu-image-gen/references/providers/replicate.md
@@ -0,0 +1,50 @@
+# Replicate
+
+Read when the user picks `--provider replicate`. Replicate support is intentionally scoped to model families baoyu-image-gen can validate locally and save without dropping outputs.
+
+## Supported Families
+
+**`google/nano-banana*`** (default: `google/nano-banana-2`)
+
+- Supports prompt-only and reference-image generation
+- Uses Replicate `aspect_ratio`, `resolution`, and `output_format`
+- `--size <WxH>` is accepted only as a shorthand for a documented `aspect_ratio` plus `1K` / `2K`
+
+**`bytedance/seedream-4.5`**
+
+- Supports prompt-only and reference-image generation
+- Uses Replicate `size`, `aspect_ratio`, and `image_input`
+- Local validation blocks unsupported `1K` requests before the API call
+
+**`bytedance/seedream-5-lite`**
+
+- Supports prompt-only and reference-image generation
+- Uses Replicate `size`, `aspect_ratio`, and `image_input`
+- Local validation currently accepts `2K` / `3K` only
+
+**`wan-video/wan-2.7-image`**
+
+- Supports prompt-only and reference-image generation
+- Uses Replicate `size` and `images`
+- Max output is 2K
+
+**`wan-video/wan-2.7-image-pro`**
+
+- Supports prompt-only and reference-image generation
+- Uses Replicate `size` and `images`
+- 4K is allowed only for text-to-image; local validation blocks `4K + --ref`
+
+## Guardrails
+
+- Replicate currently supports only single-output save semantics in this tool — keep `--n 1`
+- If a model is outside the compatibility list above, baoyu-image-gen treats it as prompt-only and rejects advanced local options instead of guessing a nano-banana-style schema
+
+## Examples
+
+```bash
+# Default model
+${BUN_X} {baseDir}/scripts/main.ts --prompt "A cat" --image out.png --provider replicate
+
+# Explicit model
+${BUN_X} {baseDir}/scripts/main.ts --prompt "A cat" --image out.png --provider replicate --model google/nano-banana
+```
--- a/baoyu-skills/skills/baoyu-image-gen/references/providers/zai.md
+++ b/baoyu-skills/skills/baoyu-image-gen/references/providers/zai.md
@@ -0,0 +1,27 @@
+# Z.AI GLM-Image
+
+Read when the user picks `--provider zai` or sets `default_model.zai`. Default model is `glm-image`.
+
+## Models
+
+**`glm-image`** (recommended default)
+
+- Text-to-image only in baoyu-image-gen (no `--ref` support yet)
+- Native `quality` options are `hd` and `standard`; this skill maps `2k → hd` and `normal → standard`
+- Recommended sizes: `1280x1280`, `1568x1056`, `1056x1568`, `1472x1088`, `1088x1472`, `1728x960`, `960x1728`
+- Custom `--size` requires width/height in `[1024, 2048]`, divisible by `32`, total pixels ≤ `2^22`
+
+**`cogview-4-250304`** (legacy family, same endpoint)
+
+- Custom `--size` requires width/height in `[512, 2048]`, divisible by `16`, total pixels ≤ `2^21`
+
+## Behavior Notes
+
+- The sync API returns a temporary URL; baoyu-image-gen downloads it and writes locally
+- `--ref` is not supported for Z.AI in this skill yet
+- The sync API returns a single image, so `--n > 1` is rejected
+
+## Official References
+
+- [GLM-Image Guide](https://docs.z.ai/guides/image/glm-image)
+- [Generate Image API](https://docs.z.ai/api-reference/image/generate-image)
--- a/baoyu-skills/skills/baoyu-image-gen/references/usage-examples.md
+++ b/baoyu-skills/skills/baoyu-image-gen/references/usage-examples.md
@@ -0,0 +1,137 @@
+# Usage Examples
+
+Extended CLI examples. SKILL.md shows the minimum set; read this file when the user asks about provider-specific invocation, batch generation, or less-common flags.
+
+## Core Patterns
+
+```bash
+# Basic text-to-image
+${BUN_X} {baseDir}/scripts/main.ts --prompt "A cat" --image cat.png
+
+# With aspect ratio
+${BUN_X} {baseDir}/scripts/main.ts --prompt "A landscape" --image out.png --ar 16:9
+
+# High quality
+${BUN_X} {baseDir}/scripts/main.ts --prompt "A cat" --image out.png --quality 2k
+
+# Prompt from files
+${BUN_X} {baseDir}/scripts/main.ts --promptfiles system.md content.md --image out.png
+
+# With reference images (any provider family that supports refs)
+${BUN_X} {baseDir}/scripts/main.ts --prompt "Make blue" --image out.png --ref source.png
+```
+
+## Per-Provider
+
+```bash
+# OpenAI
+${BUN_X} {baseDir}/scripts/main.ts --prompt "A cat" --image out.png --provider openai --model gpt-image-2.5-flare
+
+# Azure OpenAI (model = deployment name)
+${BUN_X} {baseDir}/scripts/main.ts --prompt "A cat" --image out.png --provider azure --model gpt-image-2.5-flare
+
+# OpenAI GPT Image 2 custom 4K size
+${BUN_X} {baseDir}/scripts/main.ts --prompt "A cinematic landscape" --image out.png --provider openai --model gpt-image-2.5-sunburst --size 3840x2160
+
+# Google with explicit model
+${BUN_X} {baseDir}/scripts/main.ts --prompt "Make blue" --image out.png --provider google --model gemini-3-pro-image --ref source.png
+
+# OpenRouter (recommended default)
+${BUN_X} {baseDir}/scripts/main.ts --prompt "A cat" --image out.png --provider openrouter
+
+# OpenRouter with reference
+${BUN_X} {baseDir}/scripts/main.ts --prompt "Make blue" --image out.png --provider openrouter --model google/gemini-3.1-flash-image --ref source.png
+
+# DashScope (default model)
+${BUN_X} {baseDir}/scripts/main.ts --prompt "一只可爱的猫" --image out.png --provider dashscope
+
+# DashScope Qwen-Image 2.0 Pro (custom size, Chinese text)
+${BUN_X} {baseDir}/scripts/main.ts --prompt "为咖啡品牌设计一张 21:9 横幅海报，包含清晰中文标题" --image out.png --provider dashscope --model qwen-image-2.0-pro --size 2048x872
+
+# DashScope legacy fixed-size
+${BUN_X} {baseDir}/scripts/main.ts --prompt "一张电影感海报" --image out.png --provider dashscope --model qwen-image-max --size 1664x928
+
+# DashScope Wan 2.7 Image Pro (4K text-to-image)
+${BUN_X} {baseDir}/scripts/main.ts --prompt "一间有着精致窗户的花店" --image out.png --provider dashscope --model wan2.7-image-pro --size 4096x4096
+
+# DashScope Wan 2.7 Image with reference image (multi-image fusion)
+${BUN_X} {baseDir}/scripts/main.ts --prompt "把图2的涂鸦喷绘在图1的汽车上" --image out.png --provider dashscope --model wan2.7-image-pro --ref car.webp paint.webp
+
+# Z.AI GLM-image
+${BUN_X} {baseDir}/scripts/main.ts --prompt "一张带清晰中文标题的科技海报" --image out.png --provider zai
+
+# Z.AI with custom size
+${BUN_X} {baseDir}/scripts/main.ts --prompt "A science illustration with labels" --image out.png --provider zai --model glm-image --size 1472x1088
+
+# MiniMax
+${BUN_X} {baseDir}/scripts/main.ts --prompt "A fashion editorial portrait" --image out.jpg --provider minimax
+
+# MiniMax with subject reference (character/portrait consistency)
+${BUN_X} {baseDir}/scripts/main.ts --prompt "A girl by the library window" --image out.jpg --provider minimax --model image-01 --ref portrait.png --ar 16:9
+
+# Replicate (default: google/nano-banana-2)
+${BUN_X} {baseDir}/scripts/main.ts --prompt "A cat" --image out.png --provider replicate
+
+# Replicate Seedream 4.5
+${BUN_X} {baseDir}/scripts/main.ts --prompt "A cinematic portrait" --image out.png --provider replicate --model bytedance/seedream-4.5 --ar 3:2
+
+# Replicate Wan 2.7 Image Pro
+${BUN_X} {baseDir}/scripts/main.ts --prompt "A concept frame" --image out.png --provider replicate --model wan-video/wan-2.7-image-pro --size 2048x1152
+
+# Codex CLI (uses Codex / ChatGPT subscription — no OPENAI_API_KEY; requires `codex` on PATH and `codex login`)
+${BUN_X} {baseDir}/scripts/main.ts --prompt "A cinematic portrait" --image out.png --provider codex-cli --ar 16:9
+
+# Codex CLI with reference images (style/composition guidance)
+${BUN_X} {baseDir}/scripts/main.ts --prompt "Match this color palette" --image out.png --provider codex-cli --ref source.png --ar 1:1
+
+# Agnes (default model)
+${BUN_X} {baseDir}/scripts/main.ts --prompt "A detailed infographic" --image out.png --provider agnes
+
+# Agnes with aspect ratio and URL output
+${BUN_X} {baseDir}/scripts/main.ts --prompt "A cinematic scene" --image out.txt --provider agnes --ar 16:9 --response-format url
+
+# Agnes with reference image
+${BUN_X} {baseDir}/scripts/main.ts --prompt "Apply this style" --image out.png --provider agnes --ref source.png
+```
+
+Notes on `codex-cli`:
+- Never auto-selected — pin via `--provider codex-cli` or `default_provider: codex-cli` in EXTEND.md.
+- Only `n=1` supported (Codex `image_gen` returns one image per call); `--size`, `--imageSize`, `--quality`, and `--imageApiDialect` are ignored or rejected.
+- Typically 5–10× slower than direct OpenAI / Google API calls (except on cache hits). Tune via `BAOYU_CODEX_IMAGEGEN_TIMEOUT_MS`, `BAOYU_CODEX_IMAGEGEN_RETRIES`, and `BAOYU_CODEX_IMAGEGEN_CACHE_DIR`.
+
+## Batch Mode
+
+```bash
+# Batch from saved prompt files
+${BUN_X} {baseDir}/scripts/main.ts --batchfile batch.json
+
+# Batch with explicit worker count
+${BUN_X} {baseDir}/scripts/main.ts --batchfile batch.json --jobs 4 --json
+```
+
+### Batch File Format
+
+```json
+{
+  "jobs": 4,
+  "tasks": [
+    {
+      "id": "hero",
+      "promptFiles": ["prompts/hero.md"],
+      "image": "out/hero.png",
+      "provider": "replicate",
+      "model": "google/nano-banana-2",
+      "ar": "16:9",
+      "quality": "2k"
+    },
+    {
+      "id": "diagram",
+      "promptFiles": ["prompts/diagram.md"],
+      "image": "out/diagram.png",
+      "ref": ["references/original.png"]
+    }
+  ]
+}
+```
+
+Paths in `promptFiles`, `image`, and `ref` are resolved relative to the batch file's directory. `jobs` is optional (overridden by CLI `--jobs`). A top-level array without the `jobs` wrapper is also accepted.