mirror of
https://git.openapi.site/https://github.com/desirecore/config-center.git
synced 2026-04-21 16:21:32 +08:00
yi-ge
719407d82c
引入 tombstones 字段用于区分"主动删除"和"数据缺失"两种语义。 当合并策略（新版本客户端）遇到 preset 缺失的本地 preset-source 模型时： - 若 modelName 在 tombstones 白名单 → 真删除 - 若不在白名单 → 保留并标 extra.deprecated: true（软降级） 本次添加 tombstones 的场景： - internal-testing: MiniMax-M2.7 / MiniMax-M2.5（改为只保留 highspeed 版本） - zhipu: embedding-3（已拆到独立的 zhipu-embedding provider） user-added / synced / ollama-discovery 来源始终不受 tombstones 影响。 bump presetDataVersion 22 -> 23
127 lines
3.1 KiB
JSON
127 lines
3.1 KiB
JSON
{
|
||
"id": "provider-zhipu-001",
|
||
"provider": "zhipu",
|
||
"label": "智谱 GLM",
|
||
"baseUrl": "https://open.bigmodel.cn/api/anthropic",
|
||
"apiFormat": "anthropic-messages",
|
||
"apiKeyRef": "zhipu",
|
||
"apiKeyVerified": false,
|
||
"enabled": false,
|
||
"status": "unconfigured",
|
||
"priceCurrency": "CNY",
|
||
"services": [
|
||
"chat",
|
||
"vision",
|
||
"reasoning"
|
||
],
|
||
"tombstones": [
|
||
"embedding-3"
|
||
],
|
||
"models": [
|
||
{
|
||
"modelName": "glm-5",
|
||
"displayName": "GLM-5",
|
||
"serviceType": ["chat"],
|
||
"description": "智谱GLM-5，744B参数旗舰基座模型，2026年2月发布，面向Agentic Engineering，编程能力接近Claude Opus",
|
||
"contextWindow": 200000,
|
||
"maxOutputTokens": 128000,
|
||
"capabilities": [
|
||
"chat",
|
||
"reasoning",
|
||
"code",
|
||
"multilingual",
|
||
"deep_thinking",
|
||
"long_context",
|
||
"math",
|
||
"tool_use",
|
||
"agent"
|
||
],
|
||
"inputPrice": 4,
|
||
"outputPrice": 18,
|
||
"defaultTemperature": 0.95,
|
||
"defaultTopP": 0.7,
|
||
"extra": {}
|
||
},
|
||
{
|
||
"modelName": "glm-4.7",
|
||
"displayName": "GLM-4.7",
|
||
"serviceType": ["chat"],
|
||
"description": "智谱GLM-4.7，355B参数MoE架构旗舰模型，200K上下文，编程能力对齐Claude Sonnet",
|
||
"contextWindow": 200000,
|
||
"maxOutputTokens": 128000,
|
||
"capabilities": [
|
||
"chat",
|
||
"reasoning",
|
||
"code",
|
||
"multilingual",
|
||
"deep_thinking",
|
||
"long_context",
|
||
"tool_use"
|
||
],
|
||
"inputPrice": 4,
|
||
"outputPrice": 16,
|
||
"defaultTemperature": 0.95,
|
||
"defaultTopP": 0.7,
|
||
"extra": {}
|
||
},
|
||
{
|
||
"modelName": "glm-4.7-thinking",
|
||
"displayName": "GLM-4.7 Thinking",
|
||
"serviceType": ["reasoning"],
|
||
"description": "智谱GLM-4.7深度思考模式，200K上下文，交错式/保留式/轮级思考",
|
||
"contextWindow": 200000,
|
||
"maxOutputTokens": 128000,
|
||
"capabilities": [
|
||
"reasoning",
|
||
"math",
|
||
"code",
|
||
"deep_thinking",
|
||
"long_context"
|
||
],
|
||
"inputPrice": 8,
|
||
"outputPrice": 32,
|
||
"defaultTemperature": 0.95,
|
||
"defaultTopP": 0.7,
|
||
"extra": {}
|
||
},
|
||
{
|
||
"modelName": "glm-4.6v",
|
||
"displayName": "GLM-4.6V",
|
||
"serviceType": ["vision"],
|
||
"description": "智谱GLM-4.6V多模态版，106B/12B MoE，支持图像视频理解与工具调用，128K上下文",
|
||
"contextWindow": 128000,
|
||
"maxOutputTokens": 8192,
|
||
"capabilities": [
|
||
"chat",
|
||
"vision",
|
||
"video_understanding",
|
||
"image_understanding",
|
||
"long_context",
|
||
"tool_use"
|
||
],
|
||
"inputPrice": 8,
|
||
"outputPrice": 32,
|
||
"extra": {}
|
||
},
|
||
{
|
||
"modelName": "glm-4.6",
|
||
"displayName": "GLM-4.6",
|
||
"serviceType": ["chat"],
|
||
"description": "智谱GLM-4.6，增强推理能力，128K上下文",
|
||
"contextWindow": 128000,
|
||
"maxOutputTokens": 8192,
|
||
"capabilities": [
|
||
"chat",
|
||
"reasoning",
|
||
"code",
|
||
"multilingual",
|
||
"deep_thinking",
|
||
"vision"
|
||
],
|
||
"inputPrice": 5,
|
||
"outputPrice": 5,
|
||
"extra": {}
|
||
}
|
||
]
|
||
}
|