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42 lines
1.2 KiB
Python
42 lines
1.2 KiB
Python
"""Small helpers for recognizing image-generation model IDs."""
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from __future__ import annotations
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_IMAGE_MODEL_PREFIXES = (
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"gpt-image",
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"dall-e",
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"chatgpt-image",
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"hidream",
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"qwen-image",
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"z-image",
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"flux",
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"stable-diffusion",
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"sdxl",
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"boogu",
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"krea-2",
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)
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def model_id_leaf(model_id: str) -> str:
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"""Return the provider-stripped model id leaf in lowercase."""
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return str(model_id or "").strip().split("/")[-1].lower()
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def looks_like_image_generation_model(model_id: str) -> bool:
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"""Return True when a model id should use image generation routes.
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API providers can namespace image models, e.g. ``openai/gpt-5-image``.
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Classify by the leaf so mixed endpoints can expose chat and image models
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without marking the whole endpoint as image-only.
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"""
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mid = str(model_id or "").strip().lower()
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leaf = model_id_leaf(mid)
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if not leaf:
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return False
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if any(leaf.startswith(prefix) for prefix in _IMAGE_MODEL_PREFIXES):
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return True
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# Newer OpenAI image models use names like gpt-5-image instead of
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# gpt-image-1. Keep this pattern provider-agnostic.
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return leaf.startswith("gpt-") and "-image" in leaf
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