mirror of
https://git.openapi.site/https://github.com/desirecore/config-center.git
synced 2026-07-23 03:53:16 +08:00
chore(internal-testing): 退役内置 provider;bump presetDataVersion to 61 (#26)
* chore(internal-testing): 退役内置 provider;bump presetDataVersion to 52 internal-testing 一直作为内测阶段的硬编码 provider 存在,现在客户端已切换到 登录后绑定 desirecore-cloud(NewAPI 网关)方案,internal-testing 不再需要。 从此 commit 起: - compute/providers/internal-testing.json 删除 - _index.json 移除 internal-testing 条目 - presetDataVersion 51 → 52,触发客户端重新合并预置 客户端需配套实现 retired-providers 清理逻辑:在 mergeBuiltinIfNewer 之后 执行一次性清理,移除本地 compute.json 中残留的 provider-internal-testing-001 + secrets.json#internal-testing。 * chore: bump preset data version to 61 * feat: 增量同步 16 个厂商旗舰模型 (首批精选) 首次从 OpenRouter 增量同步,覆盖 13 家厂商的最新旗舰: 概要 --- - 新增 .sync-watermark 水位线文件 (1782276303 / 2026-06-24) - presetDataVersion: 61 → 62 - 校验 70/70 全部通过 新增模型 --- OpenAI: gpt-image-2 (image_gen), gpt-5.5, gpt-5.4 Anthropic: claude-fable-5, claude-opus-4.8 Google: gemini-3.5-flash, gemini-3.1-flash-image (Nano Banana 2) DeepSeek: deepseek-v4-pro Qwen: qwen3.7-max, qwen3.7-plus MiniMax: MiniMax-M3 Moonshot: kimi-k2.7-code Zhipu: glm-5.2 xAI: grok-4.3 Mistral: mistral-medium-3.5 Tencent: hy3-preview Cohere: north-mini-code 后续机制 --- 每日 10:00 心跳检查 OpenRouter 新模型,对比 .sync-watermark 增量入库,有更新才提 PR,无更新静默。
This commit is contained in:
@@ -1,6 +1,34 @@
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{
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"description": "Anthropic Claude 系列模型规格。参数来源:config-center compute/providers/anthropic.json。",
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"specs": [
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{
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"id": "claude-fable-5",
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"displayName": "Claude Fable 5",
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"family": "claude-fable",
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"match": { "exact": ["claude-fable-5"], "patterns": ["claude-fable-5*"] },
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"spec": {
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"contextWindow": 1000000,
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"maxOutputTokens": 128000,
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"capabilities": ["chat", "reasoning", "deep_thinking", "code", "vision", "tool_use", "long_context"],
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"serviceType": ["chat"],
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"supportsReasoning": true,
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"description": "Anthropic 最强模型,基于 Mythos 架构,支持自主知识工作"
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}
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},
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{
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"id": "claude-opus-4-8",
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"displayName": "Claude Opus 4.8",
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"family": "claude-opus",
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"match": { "patterns": ["claude-opus-4-8*"] },
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"spec": {
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"contextWindow": 1000000,
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"maxOutputTokens": 128000,
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"capabilities": ["chat", "reasoning", "code", "vision", "tool_use", "long_context"],
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"serviceType": ["chat"],
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"supportsReasoning": true,
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"description": "Claude Opus 4.8,Anthropic Opus 系列最新旗舰"
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}
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},
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{
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"id": "claude-opus-4-7",
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"displayName": "Claude Opus 4.7",
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@@ -1,6 +1,20 @@
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{
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"description": "Cohere 系列模型规格。参数来源:config-center compute/providers/cohere.json。包含对话、Embedding 和 Rerank 三类服务。",
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"specs": [
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{
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"id": "north-mini-code",
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"displayName": "North Mini Code",
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"family": "north",
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"match": { "exact": ["north-mini-code"], "patterns": ["north-mini-code*"] },
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"spec": {
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"contextWindow": 256000,
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"maxOutputTokens": 64000,
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"capabilities": ["chat", "code", "tool_use"],
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"serviceType": ["chat"],
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"supportsReasoning": true,
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"description": "Cohere North 系列首发编程模型"
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}
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},
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{
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"id": "command-a-03-2025",
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"displayName": "Command A",
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@@ -1,6 +1,20 @@
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{
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"description": "DeepSeek 系列模型规格。参数来源:config-center compute/providers/deepseek.json。",
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"specs": [
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{
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"id": "deepseek-v4-pro",
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"displayName": "DeepSeek V4 Pro",
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"family": "deepseek-v4",
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"match": { "exact": ["deepseek-v4-pro"], "patterns": ["deepseek-v4-pro*"] },
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"spec": {
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"contextWindow": 1048576,
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"maxOutputTokens": 384000,
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"capabilities": ["reasoning", "deep_thinking", "code", "math", "science", "multilingual", "tool_use"],
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"serviceType": ["reasoning"],
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"supportsReasoning": true,
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"description": "DeepSeek V4 Pro,1.6T MoE 架构,100 万上下文"
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}
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},
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{
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"id": "deepseek-chat",
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"displayName": "DeepSeek Chat",
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@@ -1,6 +1,34 @@
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{
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"description": "Google Gemini 系列模型规格。参数来源:config-center compute/providers/google.json。",
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"specs": [
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{
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"id": "gemini-3.5-flash",
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"displayName": "Gemini 3.5 Flash",
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"family": "gemini-3.5",
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"match": { "exact": ["gemini-3.5-flash"], "patterns": ["gemini-3.5-flash*"] },
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"spec": {
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"contextWindow": 1048576,
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"maxOutputTokens": 65536,
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"capabilities": ["chat", "reasoning", "code", "vision", "video_understanding", "audio_understanding", "ultra_long_context", "tool_use", "fast"],
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"serviceType": ["chat"],
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"defaultTemperature": 1,
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"supportsReasoning": true,
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"description": "Google Gemini 3.5 Flash,全模态高性价比模型,100 万上下文"
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}
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},
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{
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"id": "gemini-3.1-flash-image",
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"displayName": "Gemini 3.1 Flash Image (Nano Banana 2)",
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"family": "gemini-3.1",
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"match": { "exact": ["gemini-3.1-flash-image"], "patterns": ["gemini-3.1-flash-image*"] },
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"spec": {
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"contextWindow": 131072,
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"maxOutputTokens": 32768,
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"capabilities": ["image_generation", "image_editing", "text_rendering"],
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"serviceType": ["image_gen"],
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"description": "Google Nano Banana 2,最新文生图与编辑模型"
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}
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},
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{
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"id": "gemini-3.1-pro-preview",
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"displayName": "Gemini 3.1 Pro",
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@@ -1,6 +1,21 @@
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{
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"description": "MiniMax 系列模型规格。参数来源:config-center compute/providers/minimax.json。id 保留上游 model_name 原始写法(含大小写与点号),匹配时由匹配器归一化处理。",
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"specs": [
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{
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"id": "MiniMax-M3",
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"displayName": "MiniMax M3",
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"family": "minimax-m3",
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"match": { "exact": ["MiniMax-M3"], "patterns": ["MiniMax-M3*"] },
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"spec": {
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"contextWindow": 1048576,
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"maxOutputTokens": 512000,
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"capabilities": ["chat", "reasoning", "code", "vision", "video_understanding", "tool_use", "long_context"],
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"serviceType": ["chat"],
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"defaultTemperature": 1,
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"supportsReasoning": true,
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"description": "MiniMax M3 全模态基础模型,100 万上下文"
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}
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},
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{
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"id": "MiniMax-M2.7",
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"displayName": "MiniMax M2.7",
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@@ -1,6 +1,20 @@
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{
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"description": "Mistral 系列模型规格。参数来源:config-center compute/providers/mistral.json。",
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"specs": [
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{
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"id": "mistral-medium-3.5",
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"displayName": "Mistral Medium 3.5",
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"family": "mistral-medium",
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"match": { "exact": ["mistral-medium-3.5"], "patterns": ["mistral-medium-3.5*"] },
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"spec": {
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"contextWindow": 262144,
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"capabilities": ["chat", "reasoning", "code", "vision", "tool_use"],
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"serviceType": ["chat"],
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"defaultTemperature": 1,
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"supportsReasoning": true,
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"description": "Mistral Medium 3.5,128B 指令模型"
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}
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},
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{
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"id": "mistral-large-latest",
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"displayName": "Mistral Large",
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@@ -1,6 +1,21 @@
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{
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"description": "Moonshot Kimi 系列模型规格。参数来源:config-center compute/providers/moonshot.json。注意 kimi-k2 存在多个子版本(k2.5/k2.6/k2-thinking),故 kimi-k2 仅用 exact 主键匹配,不用宽 pattern。",
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"specs": [
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{
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"id": "kimi-k2.7-code",
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"displayName": "Kimi K2.7 Code",
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"family": "kimi-k2.7",
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"match": { "exact": ["kimi-k2.7-code"], "patterns": ["kimi-k2.7-code*"] },
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"spec": {
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"contextWindow": 262144,
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"maxOutputTokens": 16384,
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"capabilities": ["chat", "code", "vision", "tool_use"],
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"serviceType": ["chat"],
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"defaultTemperature": 1,
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"supportsReasoning": true,
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"description": "Moonshot Kimi K2.7 Code 编程专用模型"
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}
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},
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{
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"id": "kimi-k2.6",
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"displayName": "Kimi K2.6",
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@@ -1,6 +1,46 @@
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{
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"description": "OpenAI GPT / o 系列模型规格。参数来源:config-center compute/providers/openai.json。注意:gpt-4o / gpt-5 等存在子型号(-mini/-nano),故只用 exact 主键匹配,不使用宽泛 pattern 以防误吞子型号。o 系列 serviceType 由 responses 调整为 reasoning(responses 为 OpenAI 直连专有,对 NewAPI 网关不适用)。",
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"specs": [
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{
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"id": "gpt-image-2",
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"displayName": "GPT Image 2",
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"family": "gpt-image",
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"match": { "exact": ["gpt-image-2"], "patterns": ["gpt-image-2*"] },
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"spec": {
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"contextWindow": 400000,
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"capabilities": ["image_generation", "image_editing", "high_quality"],
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"serviceType": ["image_gen"],
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"description": "OpenAI 最新文生图模型,支持高质量图片生成与编辑,400K 上下文"
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}
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},
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{
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"id": "gpt-5.5",
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"displayName": "GPT-5.5",
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"family": "gpt-5",
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"match": { "exact": ["gpt-5.5"], "patterns": ["gpt-5.5*"] },
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"spec": {
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"contextWindow": 1050000,
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"maxOutputTokens": 128000,
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"capabilities": ["chat", "reasoning", "code", "vision", "long_context", "tool_use"],
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"serviceType": ["chat"],
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"defaultTemperature": 1,
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"supportsReasoning": true
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}
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},
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{
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"id": "gpt-5.4",
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"displayName": "GPT-5.4",
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"family": "gpt-5",
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"match": { "exact": ["gpt-5.4"], "patterns": ["gpt-5.4*"] },
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"spec": {
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"contextWindow": 1050000,
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"maxOutputTokens": 128000,
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"capabilities": ["chat", "reasoning", "code", "vision", "long_context", "tool_use"],
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"serviceType": ["chat"],
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"defaultTemperature": 1,
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"supportsReasoning": true
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}
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},
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{
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"id": "gpt-5.2",
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"displayName": "GPT-5.2",
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@@ -1,6 +1,36 @@
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{
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"description": "阿里通义千问 Qwen 系列模型规格。参数来源:config-center compute/providers/dashscope.json。",
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"specs": [
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{
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"id": "qwen3.7-max",
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"displayName": "Qwen3.7 Max",
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"family": "qwen3.7",
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"match": { "exact": ["qwen3.7-max"], "patterns": ["qwen3.7-max*"] },
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"spec": {
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"contextWindow": 1000000,
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"maxOutputTokens": 65536,
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"capabilities": ["chat", "reasoning", "code", "multilingual", "tool_use", "long_context"],
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"serviceType": ["chat"],
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"defaultTemperature": 1,
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"supportsReasoning": true,
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"description": "通义千问 Qwen3.7 Max 旗舰模型,100 万上下文"
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}
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},
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{
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"id": "qwen3.7-plus",
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"displayName": "Qwen3.7 Plus",
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"family": "qwen3.7",
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"match": { "exact": ["qwen3.7-plus"], "patterns": ["qwen3.7-plus*"] },
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"spec": {
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"contextWindow": 1000000,
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"maxOutputTokens": 65536,
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"capabilities": ["chat", "reasoning", "code", "vision", "multilingual", "tool_use", "long_context"],
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"serviceType": ["chat"],
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"defaultTemperature": 1,
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"supportsReasoning": true,
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"description": "通义千问 Qwen3.7 Plus 高性价比多模态模型,100 万上下文"
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}
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},
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{
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"id": "qwen-max",
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"displayName": "Qwen Max",
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@@ -1,6 +1,20 @@
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{
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"description": "腾讯混元系列模型规格。参数来源:config-center compute/providers/tencent.json。hunyuan-2.0-thinking 和 hunyuan-t1 为推理模型。",
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"specs": [
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{
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"id": "hy3-preview",
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"displayName": "混元 Hy3 Preview",
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"family": "hy3",
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"match": { "exact": ["hy3-preview"], "patterns": ["hy3-preview*"] },
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"spec": {
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"contextWindow": 262144,
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"capabilities": ["chat", "reasoning", "code", "multilingual", "tool_use"],
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"serviceType": ["chat"],
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"defaultTemperature": 1,
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"supportsReasoning": true,
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"description": "腾讯混元 Hy3 预览版,高效 MoE 模型"
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}
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},
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{
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"id": "hunyuan-2.0-thinking-20251109",
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"displayName": "混元 2.0 Think",
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@@ -1,6 +1,19 @@
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{
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"description": "xAI Grok 系列模型规格。参数来源:config-center compute/providers/xai.json。Grok 网关命名变体较多(含日期戳/-fast/-reasoning 后缀),主要依赖 family=grok-4 兜底匹配。",
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"specs": [
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{
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"id": "grok-4-3",
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"displayName": "Grok 4.3",
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"family": "grok-4",
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"match": { "exact": ["grok-4.3"], "patterns": ["grok-4.3*"] },
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"spec": {
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"contextWindow": 1000000,
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"capabilities": ["reasoning", "code", "vision", "tool_use", "long_context"],
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"serviceType": ["chat"],
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"supportsReasoning": true,
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"description": "xAI Grok 4.3 推理模型,100 万上下文"
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}
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},
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{
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"id": "grok-4-1-fast-reasoning",
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"displayName": "Grok 4.1 Fast",
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@@ -1,6 +1,20 @@
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{
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"description": "智谱 GLM 系列模型规格。参数来源:config-center compute/providers/zhipu.json。glm-5 与 glm-5.1/glm-5-turbo/glm-5v-turbo 前缀相近,故各自仅用 exact 主键匹配,不用宽 pattern 以防误吞。",
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"specs": [
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{
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"id": "glm-5.2",
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"displayName": "GLM-5.2",
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"family": "glm-5.2",
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"match": { "exact": ["glm-5.2"], "patterns": ["glm-5.2*"] },
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"spec": {
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"contextWindow": 1048576,
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"maxOutputTokens": 32768,
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"capabilities": ["reasoning", "deep_thinking", "code", "multilingual", "tool_use", "long_context"],
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"serviceType": ["chat"],
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"supportsReasoning": true,
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"description": "智谱 GLM-5.2 大推理模型,100 万上下文"
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}
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},
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{
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"id": "glm-5.1",
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"displayName": "GLM-5.1",
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