mirror of
https://git.openapi.site/https://github.com/desirecore/config-center.git
synced 2026-02-28 14:18:38 +08:00
yi-ge
7ff488641f
将 compute/providers.json（54KB, 14 providers, 99 models）拆分为
compute/providers/ 目录下的独立 JSON 文件，便于维护和按需更新。
新增文件：
- compute/providers/_index.json — 加载顺序索引（保证 digest 确定性）
- compute/providers/{provider}.json × 14 — 各 provider 独立配置
保留 compute/providers.json 供旧客户端向后兼容（过渡期）。
presetDataVersion: 2 → 3
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
90 lines
2.2 KiB
JSON
90 lines
2.2 KiB
JSON
{
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"id": "provider-google-001",
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"provider": "google",
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"label": "Google AI",
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"baseUrl": "https://generativelanguage.googleapis.com/v1beta",
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"apiFormat": "google-generative-ai",
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"apiKeyRef": "google",
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"apiKeyVerified": false,
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"enabled": false,
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"status": "unconfigured",
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"services": [
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"chat",
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"vision",
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"embedding"
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],
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"defaultTemperature": 1,
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"defaultTopP": 0.95,
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"models": [
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{
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"modelName": "gemini-2.5-pro",
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"displayName": "Gemini 2.5 Pro",
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"serviceType": "chat",
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"description": "Google 最新旗舰模型，100万上下文，多模态",
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"contextWindow": 1000000,
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"maxOutputTokens": 65536,
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"capabilities": [
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"chat",
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"reasoning",
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"code",
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"vision",
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"ultra_long_context",
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"tool_use"
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],
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"inputPrice": 1.25,
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"outputPrice": 10,
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"extra": {}
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},
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{
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"modelName": "gemini-2.5-flash",
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"displayName": "Gemini 2.5 Flash",
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"serviceType": "chat",
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"description": "Google 高性价比模型，100万上下文，速度快",
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"contextWindow": 1000000,
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"maxOutputTokens": 65536,
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"capabilities": [
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"chat",
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"reasoning",
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"code",
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"vision",
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"ultra_long_context",
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"tool_use",
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"fast"
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],
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"inputPrice": 0.075,
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"outputPrice": 0.4,
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"extra": {}
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},
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{
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"modelName": "gemini-2.5-pro-vision",
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"displayName": "Gemini 2.5 Pro Vision",
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"serviceType": "vision",
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"description": "Google 多模态旗舰，支持图像视频理解",
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"contextWindow": 1000000,
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"maxOutputTokens": 65536,
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"capabilities": [
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"chat",
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"vision",
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"video_understanding",
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"image_understanding",
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"ultra_long_context"
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],
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"inputPrice": 1.25,
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"outputPrice": 10,
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"extra": {}
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},
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{
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"modelName": "text-embedding-005",
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"displayName": "Text Embedding 005",
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"serviceType": "embedding",
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"description": "Google 文本嵌入模型，768维度",
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"capabilities": [
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"text_embedding",
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"semantic_search"
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],
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"inputPrice": 0.07,
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"extra": {}
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}
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]
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}
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