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50 lines
1.2 KiB
Python
50 lines
1.2 KiB
Python
# [
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# {
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# "uuid": "7652ebdb-54dc-412c-a830-e9268ac88471",
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# "model_id": "claude-opus-4-5-20251101",
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# "display_name": {
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# "en_US": "claude-opus-4-5-20251101",
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# "zh_Hans": "claude-opus-4-5-20251101"
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# },
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# "description": {},
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# "provider": "anthropic",
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# "category": "chat",
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# "icon_url": "Claude.Color",
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# "tags": {},
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# "is_featured": true,
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# "featured_order": 999,
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# "model_ratio": 2.5,
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# "completion_ratio": 5,
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# "quota_type": 0,
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# "model_price": 0,
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# "input_credits": 500,
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# "output_credits": 2500,
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# "vendor_id": 1,
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# "vendor_name": "Anthropic",
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# "vendor_icon": "Claude.Color",
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# "supported_endpoints": [
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# "anthropic",
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# "openai"
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# ],
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# "status": "active",
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# "metadata": null,
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# "created_at": "2025-12-30T22:23:38.337207+08:00",
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# "updated_at": "2025-12-30T22:23:38.337207+08:00"
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# }
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# ]
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import pydantic
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class SpaceModel(pydantic.BaseModel):
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uuid: str
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model_id: str
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provider: str
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category: str # chat / embedding
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llm_abilities: list[str] | None = None
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is_featured: bool = False
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featured_order: int = 0
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status: str
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created_at: str | None = None
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updated_at: str | None = None
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