feat: 拆分 providers.json 为按 Provider 独立文件

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>
This commit is contained in:
2026-02-22 14:24:55 +08:00
parent fe26a6ff58
commit 7ff488641f
16 changed files with 2070 additions and 1 deletions

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{
"id": "provider-google-001",
"provider": "google",
"label": "Google AI",
"baseUrl": "https://generativelanguage.googleapis.com/v1beta",
"apiFormat": "google-generative-ai",
"apiKeyRef": "google",
"apiKeyVerified": false,
"enabled": false,
"status": "unconfigured",
"services": [
"chat",
"vision",
"embedding"
],
"defaultTemperature": 1,
"defaultTopP": 0.95,
"models": [
{
"modelName": "gemini-2.5-pro",
"displayName": "Gemini 2.5 Pro",
"serviceType": "chat",
"description": "Google 最新旗舰模型100万上下文多模态",
"contextWindow": 1000000,
"maxOutputTokens": 65536,
"capabilities": [
"chat",
"reasoning",
"code",
"vision",
"ultra_long_context",
"tool_use"
],
"inputPrice": 1.25,
"outputPrice": 10,
"extra": {}
},
{
"modelName": "gemini-2.5-flash",
"displayName": "Gemini 2.5 Flash",
"serviceType": "chat",
"description": "Google 高性价比模型100万上下文速度快",
"contextWindow": 1000000,
"maxOutputTokens": 65536,
"capabilities": [
"chat",
"reasoning",
"code",
"vision",
"ultra_long_context",
"tool_use",
"fast"
],
"inputPrice": 0.075,
"outputPrice": 0.4,
"extra": {}
},
{
"modelName": "gemini-2.5-pro-vision",
"displayName": "Gemini 2.5 Pro Vision",
"serviceType": "vision",
"description": "Google 多模态旗舰,支持图像视频理解",
"contextWindow": 1000000,
"maxOutputTokens": 65536,
"capabilities": [
"chat",
"vision",
"video_understanding",
"image_understanding",
"ultra_long_context"
],
"inputPrice": 1.25,
"outputPrice": 10,
"extra": {}
},
{
"modelName": "text-embedding-005",
"displayName": "Text Embedding 005",
"serviceType": "embedding",
"description": "Google 文本嵌入模型768维度",
"capabilities": [
"text_embedding",
"semantic_search"
],
"inputPrice": 0.07,
"extra": {}
}
]
}