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feat(baoyu-imagine): add OpenAI-compatible image API dialect support
Add --imageApiDialect flag, OPENAI_IMAGE_API_DIALECT env var, and default_image_api_dialect config for gateways that expect aspect-ratio size plus metadata.resolution instead of pixel size.
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@@ -57,7 +57,7 @@ if (Test-Path "$HOME/.baoyu-skills/baoyu-imagine/EXTEND.md") { "user" }
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Legacy compatibility: if `.baoyu-skills/baoyu-image-gen/EXTEND.md` exists and the new path does not, runtime renames it to `baoyu-imagine`. If both files exist, runtime leaves them unchanged and uses the new path.
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**EXTEND.md Supports**: Default provider | Default quality | Default aspect ratio | Default image size | Default models | Batch worker cap | Provider-specific batch limits
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**EXTEND.md Supports**: Default provider | Default quality | Default aspect ratio | Default image size | OpenAI image API dialect | Default models | Batch worker cap | Provider-specific batch limits
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Schema: `references/config/preferences-schema.md`
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@@ -176,6 +176,7 @@ Paths in `promptFiles`, `image`, and `ref` are resolved relative to the batch fi
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| `--size <WxH>` | Size (e.g., `1024x1024`) |
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| `--quality normal\|2k` | Quality preset (default: `2k`) |
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| `--imageSize 1K\|2K\|4K` | Image size for Google/OpenRouter (default: from quality) |
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| `--imageApiDialect openai-native\|ratio-metadata` | OpenAI-compatible image API dialect. Use `ratio-metadata` when the endpoint is OpenAI-compatible but expects aspect-ratio `size` plus `metadata.resolution` instead of pixel `size` |
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| `--ref <files...>` | Reference images. Supported by Google multimodal, OpenAI GPT Image edits, Azure OpenAI edits (PNG/JPG only), OpenRouter multimodal models, Replicate supported families, MiniMax subject-reference, and Seedream 5.0/4.5/4.0. Not supported by Jimeng, Seedream 3.0, or removed SeedEdit 3.0 |
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| `--n <count>` | Number of images. Replicate currently supports only `--n 1` because this path saves exactly one output image |
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| `--json` | JSON output |
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@@ -209,6 +210,7 @@ Paths in `promptFiles`, `image`, and `ref` are resolved relative to the batch fi
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| `JIMENG_IMAGE_MODEL` | Jimeng model override (default: jimeng_t2i_v40) |
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| `SEEDREAM_IMAGE_MODEL` | Seedream model override (default: doubao-seedream-5-0-260128) |
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| `OPENAI_BASE_URL` | Custom OpenAI endpoint |
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| `OPENAI_IMAGE_API_DIALECT` | OpenAI-compatible image API dialect override (`openai-native` or `ratio-metadata`) |
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| `AZURE_OPENAI_BASE_URL` | Azure resource endpoint or deployment endpoint |
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| `AZURE_API_VERSION` | Azure image API version (default: `2025-04-01-preview`) |
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| `OPENROUTER_BASE_URL` | Custom OpenRouter endpoint (default: `https://openrouter.ai/api/v1`) |
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@@ -242,6 +244,22 @@ For Azure, `--model` / `default_model.azure` should be the Azure deployment name
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**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.
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### OpenAI-Compatible Gateway Dialects
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`provider=openai` means the auth and routing entrypoint is OpenAI-compatible. It does **not** guarantee that the upstream image API uses OpenAI native image-request semantics.
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Use `default_image_api_dialect` in `EXTEND.md`, `OPENAI_IMAGE_API_DIALECT`, or `--imageApiDialect` when the endpoint expects a different wire format:
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- `openai-native`: Sends pixel `size` such as `1536x1024` and native OpenAI quality fields when supported
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- `ratio-metadata`: Sends aspect-ratio `size` such as `16:9` and maps quality/size intent into `metadata.resolution` (`1K|2K|4K`) plus `metadata.orientation`
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Recommended use:
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- OpenAI native Images API or strict clones: keep `openai-native`
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- OpenAI-compatible gateways in front of Gemini or similar models: try `ratio-metadata`
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Current limitation: `ratio-metadata` only applies to text-to-image generation. Reference-image edit flows still require `openai-native` or another provider with first-class edit support.
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**Agent MUST display model info** before each generation:
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- Show: `Using [provider] / [model]`
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- Show switch hint: `Switch model: --model <id> | EXTEND.md default_model.[provider] | env <PROVIDER>_IMAGE_MODEL`
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