mirror of
https://git.openapi.site/https://github.com/desirecore/config-center.git
synced 2026-07-23 04:53:18 +08:00
51935c0d54
* 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。
72 lines
2.5 KiB
JSON
72 lines
2.5 KiB
JSON
{
|
||
"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。",
|
||
"specs": [
|
||
{
|
||
"id": "north-mini-code",
|
||
"displayName": "North Mini Code",
|
||
"family": "north",
|
||
"match": { "exact": ["north-mini-code"], "patterns": ["north-mini-code*"] },
|
||
"spec": {
|
||
"contextWindow": 256000,
|
||
"maxOutputTokens": 64000,
|
||
"capabilities": ["chat", "code", "tool_use"],
|
||
"serviceType": ["chat"],
|
||
"supportsReasoning": true,
|
||
"description": "Cohere North 系列首发编程模型"
|
||
}
|
||
},
|
||
{
|
||
"id": "command-a-03-2025",
|
||
"displayName": "Command A",
|
||
"family": "command-a",
|
||
"match": { "exact": ["command-a-03-2025"], "patterns": ["command-a*"] },
|
||
"spec": {
|
||
"contextWindow": 256000,
|
||
"maxOutputTokens": 8000,
|
||
"capabilities": ["chat", "reasoning", "code", "vision", "tool_use", "rag", "long_context"],
|
||
"serviceType": ["chat"],
|
||
"defaultTemperature": 0.3,
|
||
"description": "Cohere 旗舰对话模型，256K 上下文，擅长 RAG 和工具调用"
|
||
}
|
||
},
|
||
{
|
||
"id": "command-r7b-12-2024",
|
||
"displayName": "Command R7B",
|
||
"family": "command-r7b",
|
||
"match": { "exact": ["command-r7b-12-2024"], "patterns": ["command-r7b*"] },
|
||
"spec": {
|
||
"contextWindow": 128000,
|
||
"maxOutputTokens": 4000,
|
||
"capabilities": ["chat", "reasoning", "tool_use", "rag", "fast"],
|
||
"serviceType": ["fast"],
|
||
"defaultTemperature": 0.3,
|
||
"description": "Cohere 小型高速对话模型，适合高吞吐、低延迟场景"
|
||
}
|
||
},
|
||
{
|
||
"id": "embed-v4.0",
|
||
"displayName": "Embed V4",
|
||
"family": "embed-v4",
|
||
"match": { "exact": ["embed-v4.0"], "patterns": ["embed-v4*"] },
|
||
"spec": {
|
||
"contextWindow": 128000,
|
||
"capabilities": ["text_embedding", "multilingual"],
|
||
"serviceType": ["embedding"],
|
||
"description": "Cohere 最新 Embedding 模型，128K 上下文，多语言支持"
|
||
}
|
||
},
|
||
{
|
||
"id": "rerank-v3.5",
|
||
"displayName": "Rerank V3.5",
|
||
"family": "rerank-v3",
|
||
"match": { "exact": ["rerank-v3.5"], "patterns": ["rerank-v3*"] },
|
||
"spec": {
|
||
"contextWindow": 4096,
|
||
"capabilities": ["rerank", "semantic_reranking"],
|
||
"serviceType": ["rerank"],
|
||
"description": "Cohere 语义重排序模型，用于检索结果精排"
|
||
}
|
||
}
|
||
]
|
||
}
|