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31 changes: 15 additions & 16 deletions skills/bailian-docs-llm-wiki/SKILL.md
Original file line number Diff line number Diff line change
Expand Up @@ -148,22 +148,21 @@ description: >-
| **按家族筛选**:按 primaryCapability / providers / itemCount / maxContextWindow 找家族 | `models/families.jsonl`(一行一家族,含 items[] 摘要) |
| 模型家族总览 / 按能力分桶浏览 | `models/index.md` |
| 主题页 / API 文档(按功能领域查找) | `wiki/index.md`(完整索引入口) |
| OpenAI 兼容接口 | `wiki/concepts/openai-compatible-interface.md` |
| API Key 鉴权 | `wiki/concepts/api-key.md` |
| 函数调用(Function Calling) | `wiki/concepts/function-calling.md` |
| 检索增强生成(RAG) | `wiki/concepts/rag.md` |
| 异步调用与任务轮询 | `wiki/concepts/async-invocation.md` |
| Token 与计费 | `wiki/concepts/token-and-billing.md` |
| 流式输出 | `wiki/concepts/streaming-output.md` |
| 业务空间(Workspace) | `wiki/concepts/workspace.md` |
| 模型调优与部署 | `wiki/concepts/fine-tuning-and-deployment.md` |
| MCP 与工具扩展 | `wiki/concepts/mcp-and-tools.md` |
| 模型微调、压缩与部署对比 | `wiki/comparisons/fine-tuning-vs-compression-vs-deployment.md` |
| 模型评估与模型监控对比 | `wiki/comparisons/model-evaluation-vs-monitoring.md` |
| 图像、视频与 3D 生成对比 | `wiki/comparisons/image-vs-video-vs-3d-generation.md` |
| 应用评估与应用监控对比 | `wiki/comparisons/app-evaluation-vs-monitoring.md` |
| 知识库与记忆库对比 | `wiki/comparisons/knowledge-base-vs-memory-library.md` |
| 托管智能体:指南与 API 对比 | `wiki/comparisons/managed-agents-guide-vs-api.md` |
| 函数调用 | `wiki/concepts/function-calling.md` |
| 检索增强生成 | `wiki/concepts/rag.md` |
| 流式输出 | `wiki/concepts/streaming.md` |
| 异步调用 | `wiki/concepts/async-invocation.md` |
| API密钥 | `wiki/concepts/api-key.md` |
| OpenAI兼容接口 | `wiki/concepts/openai-compatible-interface.md` |
| 业务空间 | `wiki/concepts/workspace.md` |
| 多模态 | `wiki/concepts/multimodal.md` |
| Token | `wiki/concepts/token.md` |
| 图像/3D/视频生成 API 对比 | `wiki/comparisons/generation-api-vs.md` |
| 长期记忆与记忆库对比 | `wiki/comparisons/memory-solutions-vs.md` |
| 微调与模型压缩对比 | `wiki/comparisons/model-optimization-vs.md` |
| 应用监控与模型监控对比 | `wiki/comparisons/monitoring-vs.md` |
| 应用评测与模型评测对比 | `wiki/comparisons/evaluation-vs.md` |
| 框架与工具包对比 | `wiki/comparisons/frameworks-vs.md` |

> 实际文件名以 `wiki/index.md` 为准;上表若有出入应回到索引页查找。

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939 changes: 480 additions & 459 deletions skills/bailian-docs-llm-wiki/llms.txt

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8 changes: 4 additions & 4 deletions skills/bailian-docs-llm-wiki/models/families.jsonl

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203 changes: 191 additions & 12 deletions skills/bailian-docs-llm-wiki/models/groups/kimi-models-market-place.json
Original file line number Diff line number Diff line change
Expand Up @@ -2,6 +2,117 @@
"name": "Kimi",
"description": "由月之暗面提供的Kimi系列模型的API服务。",
"items": [
{
"inferenceMetadata": {
"response_modality": [
"Text"
],
"request_modality": [
"Text",
"Image",
"Video"
]
},
"description": "Kimi K3 是 Kimi 迄今能力最强的旗舰模型,拥有 2.8 万亿参数,基于 KDA 混合线性注意力机制(Kimi Delta Attention)和注意力残差(Attention Residuals)技术构建,原生支持视觉理解,并拥有 100 万 token 上下文窗口。它是全球首个开源的 3 万亿级别模型,面向长程编程、知识工作和推理等前沿智能场景而设计。",
"features": [
"function-calling",
"structured-outputs",
"cache",
"prefix-completion"
],
"provider": "moonshot-ai",
"model": "kimi/kimi-k3",
"prices": [
{
"priceUnit": "每百万tokens",
"price": "20",
"type": "input_token",
"priceName": "输入"
},
{
"priceUnit": "每百万tokens",
"price": "100",
"type": "output_token",
"priceName": "输出"
},
{
"priceUnit": "每百万tokens",
"price": "2",
"type": "input_token_cache",
"priceName": "输入(缓存命中)"
}
],
"qpmInfo": {
"model-default-actual": {
"count_limit_period": 60,
"usage_limit": 3000000,
"usage_limit_field": "total_tokens",
"count_limit": 500,
"usage_limit_period": 60,
"type": "model-default"
},
"model-default": {
"count_limit_period": 60,
"usage_limit": 3000000,
"usage_limit_field": "total_tokens",
"count_limit": 500,
"usage_limit_period": 60,
"type": "model-default"
}
},
"capabilities": [
"TG",
"VU",
"Reasoning"
],
"modelAlias": "",
"versionTag": "MAJOR",
"maxOutputTokens": 1048576,
"latestOnlineAt": "2026-07-17T08:23:12.000+00:00",
"contextWindow": 1048576,
"maxInputTokens": 1048576,
"inferenceProvider": "moonshot-ai",
"name": "kimi/kimi-k3",
"docUrl": "https://bailian.console.aliyun.com/cn-beijing?tab=doc#/doc/?type=model&url=3021620",
"category": "Third-party",
"predictConfig": [
{
"name": "system",
"key": "systemMessage",
"tip": "系统人设,例如“你是一个AI助手”。"
},
{
"name": "top_p",
"key": "top_p",
"default": 0.8,
"tip": "控制核采样方法的概率阈值,取值越大,生成的随机性越高。",
"range": [
0.0001,
1
]
},
{
"name": "temperature",
"key": "temperature",
"default": 0.7,
"tip": "控制生成随机性和多样性,数值越高多样性越强,数值越低一致性越强,范围(0,2)。建议该参数和top_p只设置1个。",
"range": [
0,
1.9999
]
}
],
"samples": {
"openai": {
"completionsAPI": {
"curl": "curl --location 'https://dashscope.aliyuncs.com/compatible-mode/v1/chat/completions' \\\n--header \"Authorization: Bearer $DASHSCOPE_API_KEY\" \\\n--header 'Content-Type: application/json' \\\n--data '{\n \"model\": \"kimi/kimi-k3\",\n \"messages\": [\n {\n \"role\": \"user\",\n \"content\": [\n {\"type\": \"image_url\", \"image_url\": {\"url\": \"https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20241108/ctdzex/biaozhun.jpg\"}},\n {\"type\": \"text\", \"text\": \"请仅输出图像中的文本内容。\"}\n ]\n }]\n}'",
"python": "import os\nfrom openai import OpenAI\n\nclient = OpenAI(\n api_key=os.getenv(\"DASHSCOPE_API_KEY\"),\n base_url=\"https://dashscope.aliyuncs.com/compatible-mode/v1\",\n)\n\ncompletion = client.chat.completions.create(\n model=\"kimi/kimi-k3\",\n messages=[\n {\n \"role\": \"user\",\n \"content\": [\n {\n \"type\": \"image_url\",\n \"image_url\": {\n \"url\": \"https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20241108/ctdzex/biaozhun.jpg\"\n },\n },\n {\"type\": \"text\", \"text\": \"请仅输出图像中的文本内容。\"},\n ],\n },\n ],\n)\nprint(completion.choices[0].message.content)",
"nodejs": "import OpenAI from \"openai\";\n\nconst openai = new OpenAI({\n // 若没有配置环境变量,请用百炼API Key将下行替换为:apiKey: \"sk-xxx\"\n apiKey: process.env.DASHSCOPE_API_KEY,\n baseURL: \"https://dashscope.aliyuncs.com/compatible-mode/v1\"\n});\n\nasync function main() {\n const response = await openai.chat.completions.create({\n model: \"kimi/kimi-k3\",\n messages: [\n {\n role: \"user\",\n content: [{\n type: \"image_url\",\n image_url: {\n \"url\": \"https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20241108/ctdzex/biaozhun.jpg\"\n }\n },\n {\n type: \"text\",\n text: \"请仅输出图像中的文本内容。\"\n }\n ]\n }\n ]\n });\n console.log(response.choices[0].message.content);\n}\nmain()",
"docUrl": "https://help.aliyun.com/document_detail/3021620.html"
}
}
}
},
{
"inferenceMetadata": {
"response_modality": [
Expand All @@ -21,10 +132,27 @@
"cache"
],
"provider": "moonshot-ai",
"limit": {
"message": "model not exist"
},
"model": "kimi/kimi-k2.7-code-highspeed",
"prices": [
{
"priceUnit": "每百万tokens",
"price": "13",
"type": "input_token",
"priceName": "输入"
},
{
"priceUnit": "每百万tokens",
"price": "54",
"type": "output_token",
"priceName": "输出"
},
{
"priceUnit": "每百万tokens",
"price": "2.6",
"type": "input_token_cache",
"priceName": "输入(缓存命中)"
}
],
"qpmInfo": {
"model-default-actual": {
"count_limit_period": 60,
Expand Down Expand Up @@ -114,10 +242,27 @@
"cache"
],
"provider": "moonshot-ai",
"limit": {
"message": "model not exist"
},
"model": "kimi/kimi-k2.7-code",
"prices": [
{
"priceUnit": "每百万tokens",
"price": "6.5",
"type": "input_token",
"priceName": "输入"
},
{
"priceUnit": "每百万tokens",
"price": "27",
"type": "output_token",
"priceName": "输出"
},
{
"priceUnit": "每百万tokens",
"price": "1.3",
"type": "input_token_cache",
"priceName": "输入(缓存命中)"
}
],
"qpmInfo": {
"model-default-actual": {
"count_limit_period": 60,
Expand Down Expand Up @@ -207,10 +352,27 @@
"cache"
],
"provider": "moonshot-ai",
"limit": {
"message": "model not exist"
},
"model": "kimi/kimi-k2.6",
"prices": [
{
"priceUnit": "每百万tokens",
"price": "6.5",
"type": "input_token",
"priceName": "输入"
},
{
"priceUnit": "每百万tokens",
"price": "27",
"type": "output_token",
"priceName": "输出"
},
{
"priceUnit": "每百万tokens",
"price": "1.1",
"type": "input_token_cache",
"priceName": "输入(缓存命中)"
}
],
"qpmInfo": {
"model-default-actual": {
"count_limit_period": 6,
Expand Down Expand Up @@ -287,11 +449,28 @@
"cache"
],
"provider": "moonshot-ai",
"limit": {
"message": "model not exist"
},
"model": "kimi/kimi-k2.5",
"iconUrl": "https://img.alicdn.com/imgextra/i4/O1CN01KzHLBW1LISVEUaotl_!!6000000001276-2-tps-56-56.png",
"prices": [
{
"priceUnit": "每百万tokens",
"price": "4",
"type": "input_token",
"priceName": "输入"
},
{
"priceUnit": "每百万tokens",
"price": "21",
"type": "output_token",
"priceName": "输出"
},
{
"priceUnit": "每百万tokens",
"price": "0.7",
"type": "input_token_cache",
"priceName": "输入(缓存命中)"
}
],
"qpmInfo": {
"model-default-actual": {
"count_limit_period": 6,
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Original file line number Diff line number Diff line change
Expand Up @@ -68,10 +68,10 @@
],
"modelAlias": "",
"versionTag": "MAJOR",
"maxOutputTokens": 4096,
"latestOnlineAt": "2026-07-14T06:59:47.013+00:00",
"contextWindow": 8192,
"maxInputTokens": 4096,
"maxOutputTokens": 8192,
"latestOnlineAt": "2026-07-14T06:59:47.000+00:00",
"contextWindow": 40960,
"maxInputTokens": 16384,
"inferenceProvider": "aliyun-bailian",
"name": "千问实时语音对话大模型3.0(极速版)",
"docUrl": "https://help.aliyun.com/document_detail/3041584.html",
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Original file line number Diff line number Diff line change
Expand Up @@ -68,10 +68,10 @@
],
"modelAlias": "",
"versionTag": "MAJOR",
"maxOutputTokens": 4096,
"latestOnlineAt": "2026-07-14T06:59:43.526+00:00",
"contextWindow": 8192,
"maxInputTokens": 4096,
"maxOutputTokens": 8192,
"latestOnlineAt": "2026-07-14T06:59:43.000+00:00",
"contextWindow": 40960,
"maxInputTokens": 16384,
"inferenceProvider": "aliyun-bailian",
"name": "千问实时语音大模型 (标准版)",
"docUrl": "https://help.aliyun.com/document_detail/3041584.html",
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