Merge pull request #145 from modelstudioai/feat/bailian-docs-update

chore: update bailian-docs-llm-wiki (2026-10-22)

Author: gujieye

skills/bailian-docs-llm-wiki/llms.txt

@@ -19,7 +19,7 @@
 {"slug":"image-instance-segmentation","name":"人物实例分割","description":"人物实例分割运用了检测和分割技术，不仅能够在图像中识别出不同的对象，而且还能准确地画出每一个对象边界的像素级掩码（mask）。","primaryCapability":"IG","capabilities":["IG"],"providers":["qwen"],"itemCount":1,"items":[{"model":"image-instance-segmentation","name":"人物实例分割","capabilities":["IG"]}],"detailPath":"groups/image-instance-segmentation.json"}
 {"slug":"kimi-models-market-place","name":"Kimi","description":"由月之暗面提供的Kimi系列模型的API服务。","primaryCapability":"TG","capabilities":["TG","VU","Reasoning"],"providers":["moonshot-ai"],"itemCount":5,"items":[{"model":"kimi/kimi-k2.6","name":"Kimi/Kimi K2.6","contextWindow":262144,"capabilities":["TG","Reasoning","VU"]},{"model":"kimi/kimi-k2.7-code","name":"kimi/kimi-k2.7-code","contextWindow":262144,"capabilities":["TG","VU","Reasoning"]},{"model":"kimi/kimi-k2.7-code-highspeed","name":"kimi/kimi-k2.7-code-highspeed","contextWindow":262144,"capabilities":["TG","Reasoning","VU"]},{"model":"kimi/kimi-k2.8-preview","name":"kimi/kimi-k2.8-preview","contextWindow":1048576,"capabilities":["TG","VU","Reasoning"]},{"model":"kimi/kimi-k3","name":"kimi/kimi-k3","contextWindow":1000000,"capabilities":["TG","VU","Reasoning"]}],"detailPath":"groups/kimi-models-market-place.json","maxContextWindow":1048576}
 {"slug":"kling-models-market-place","name":"可灵AI","description":"由可灵AI提供的高质量视频与图像生成及编辑模型。","primaryCapability":"VG","capabilities":["VG","IG"],"providers":["kling"],"itemCount":5,"items":[{"model":"kling/kling-v3-image-generation","name":"Kling Image 3.0","capabilities":["IG"]},{"model":"kling/kling-v3-omni-image-generation","name":"Kling Image 3.0 Omni","capabilities":["IG"]},{"model":"kling/kling-v3-omni-video-generation","name":"Kling Video 3.0 Omni","capabilities":["VG"]},{"model":"kling/kling-v3-turbo-video-generation","name":"Kling Video 3.0 Turbo","capabilities":["VG"]},{"model":"kling/kling-v3-video-generation","name":"Kling Video 3.0","capabilities":["VG"]}],"detailPath":"groups/kling-models-market-place.json"}
-{"slug":"minimax-models-market-place","name":"MiniMax文本模型","description":"由MiniMax提供的MiniMax-M系列文本模型API服务。","primaryCapability":"TG","capabilities":["TG","Reasoning","VU"],"providers":["mini-max"],"itemCount":4,"items":[{"model":"MiniMax/MiniMax-M2.1","name":"MiniMax/MiniMax-M2.1","contextWindow":204800,"capabilities":["TG","Reasoning"]},{"model":"MiniMax/MiniMax-M2.5","name":"MiniMax/MiniMax-M2.5","contextWindow":204800,"capabilities":["TG","Reasoning"]},{"model":"MiniMax/MiniMax-M2.7","name":"MiniMax/MiniMax-M2.7","contextWindow":204800,"capabilities":["TG","Reasoning"]},{"model":"MiniMax/MiniMax-M3","name":"MiniMax/MiniMax-M3","contextWindow":1000000,"capabilities":["TG","Reasoning","VU"]}],"detailPath":"groups/minimax-models-market-place.json","maxContextWindow":1000000}
+{"slug":"minimax-models-market-place","name":"MiniMax文本模型","description":"由MiniMax提供的MiniMax-M系列文本模型API服务。","primaryCapability":"TG","capabilities":["TG","VU","Reasoning"],"providers":["mini-max"],"itemCount":5,"items":[{"model":"MiniMax/MiniMax-M2.1","name":"MiniMax/MiniMax-M2.1","contextWindow":204800,"capabilities":["TG","Reasoning"]},{"model":"MiniMax/MiniMax-M2.5","name":"MiniMax/MiniMax-M2.5","contextWindow":204800,"capabilities":["TG","Reasoning"]},{"model":"MiniMax/MiniMax-M2.7","name":"MiniMax/MiniMax-M2.7","contextWindow":204800,"capabilities":["TG","Reasoning"]},{"model":"MiniMax/MiniMax-M3","name":"MiniMax/MiniMax-M3","contextWindow":1000000,"capabilities":["TG","Reasoning","VU"]},{"model":"MiniMax/MiniMax-M3.1-Flash","name":"MiniMax/MiniMax-M3.1-Flash","contextWindow":1048576,"capabilities":["TG","VU","Reasoning"]}],"detailPath":"groups/minimax-models-market-place.json","maxContextWindow":1048576}
 {"slug":"paraformer-8k-v2","name":"Paraformer语音识别-8k-v2","description":"Paraformer最新中文语音识别模型，模型结构升级，具有更好的识别效果,支持8kHz电话语音识别，仅支持中文热词。","primaryCapability":"ASR","capabilities":["ASR"],"providers":["qwen"],"itemCount":1,"items":[{"model":"paraformer-8k-v2","name":"Paraformer语音识别-8k-v2","capabilities":["ASR"]}],"detailPath":"groups/paraformer-8k-v2.json"}
 {"slug":"paraformer-realtime-8k-v2","name":"Paraformer实时语音识别-8k-v2","description":"推荐使用 Paraformer最新实时语音识别模型，支持多个语种自由切换的视频直播、会议等实时场景的语音识别。可以通过language_hints参数选择语种获得更准确的识别效果。支持8kHz电话客服等场景下的实时语音识别。\n支持的语言包括：中文（含粤语等各种方言）、英文、日语、韩语。","primaryCapability":"Realtime-ASR","capabilities":["Realtime-ASR"],"providers":["qwen"],"itemCount":1,"items":[{"model":"paraformer-realtime-8k-v2","name":"Paraformer实时语音识别-8k-v2","capabilities":["Realtime-ASR"]}],"detailPath":"groups/paraformer-realtime-8k-v2.json"}
 {"slug":"paraformer-realtime-v2","name":"Paraformer实时语音识别-v2","description":"推荐使用 Paraformer最新实时语音识别模型，支持多个语种自由切换的视频直播、会议等实时场景的语音识别。可以通过language_hints参数选择语种获得更准确的识别效果。支持任意采样率。 支持的语言包括：中文（含粤语等各种方言）、英文、日语、韩语。 可支持热词。","primaryCapability":"Realtime-ASR","capabilities":["Realtime-ASR"],"providers":["qwen"],"itemCount":1,"items":[{"model":"paraformer-realtime-v2","name":"Paraformer实时语音识别-v2","capabilities":["Realtime-ASR"]}],"detailPath":"groups/paraformer-realtime-v2.json"}
@@ -109,6 +109,7 @@
 {"slug":"voice-enrollment","name":"大模型声音复刻及声音设计","description":"大模型声音复刻服务依托先进的大模型技术进行特征提取，无需训练过程就可以完成声音的复刻。仅需提供极短的音频，即可迅速生成高度相似且听感自然的定制声音。\n大模型声音设计使用FunAudioGen-VD模型，支持通过文本Prompt描述，创造声音。无需受限任何音频质量，根据目标场景对音色、语气、语调、语速、情绪等各方面表现力的需求描述，即可生成高质量语音。高度还原专业配音演员的演出水准。","primaryCapability":"TTS","capabilities":["TTS"],"providers":["qwen"],"itemCount":1,"items":[{"model":"voice-enrollment","name":"大模型声音复刻及声音设计","capabilities":["TTS"]}],"detailPath":"groups/voice-enrollment.json"}
 {"slug":"wan-image-edit","name":"Wan-Image","description":"指令编辑图片内容，轻松实现局部修改、风格变化、一致性保持等","primaryCapability":"IG","capabilities":["IG"],"providers":["wan"],"itemCount":5,"items":[{"model":"wan2.5-i2i-preview","name":"Wan2.5-I2I-Preview","capabilities":["IG"]},{"model":"wan2.6-image","name":"Wan2.6-Image","capabilities":["IG"]},{"model":"wan2.7-image","name":"Wan2.7-Image","capabilities":["IG"]},{"model":"wan2.7-image-pro","name":"Wan2.7-Image-Pro","capabilities":["IG"]},{"model":"wanx2.1-imageedit","name":"Wan2.1-ImageEdit","capabilities":["IG"]}],"detailPath":"groups/wan-image-edit.json"}
 {"slug":"wan-image-to-video","name":"Wan-I2V","description":"图片生成视频内容，稳定保持图像主体、风格和文字等细节信息","primaryCapability":"VG","capabilities":["VG"],"providers":["wan"],"itemCount":14,"items":[{"model":"wan2.2-animate-mix","name":"Wan2.2-Animate-Mix","capabilities":["VG"]},{"model":"wan2.2-animate-move","name":"Wan2.2-Animate-Move","capabilities":["VG"]},{"model":"wan2.2-i2v-flash","name":"Wan2.2-I2V-Flash","capabilities":["VG"]},{"model":"wan2.2-i2v-plus","name":"Wan2.2-I2V-Plus","capabilities":["VG"]},{"model":"wan2.2-kf2v-flash","name":"Wan2.2-KF2V-Flash","capabilities":["VG"]},{"model":"wan2.2-s2v","name":"通义万相2.2-数字人-S2V","capabilities":["VG"]},{"model":"wan2.2-s2v-detect","name":"Wan2.2-S2V-Detect","capabilities":["VG"]},{"model":"wan2.5-i2v-preview","name":"Wan2.5-I2V-Preview","capabilities":["VG"]},{"model":"wan2.6-i2v","name":"Wan2.6-I2V","capabilities":["VG"]},{"model":"wan2.6-i2v-flash","name":"wan2.6-I2V-flash","capabilities":["VG"]},{"model":"wan2.7-i2v","name":"Wan2.7-I2V","capabilities":["VG"]},{"model":"wanx2.1-i2v-plus","name":"Wan2.1-I2V-Plus","capabilities":["VG"]},{"model":"wanx2.1-i2v-turbo","name":"Wan2.1-I2V-Turbo","capabilities":["VG"]},{"model":"wanx2.1-kf2v-plus","name":"Wan2.1-KF2V-Plus","capabilities":["VG"]}],"detailPath":"groups/wan-image-to-video.json"}
+{"slug":"wan-reference-to-video","name":"Wan-R2V","description":"参考视频中的人或物，精准保持形象和声音，支持多参考合拍","primaryCapability":"VG","capabilities":["VG"],"providers":["wan"],"itemCount":3,"items":[{"model":"wan2.6-r2v","name":"Wan2.6-R2V","capabilities":["VG"]},{"model":"wan2.6-r2v-flash","name":"Wan2.6-R2V-Flash","capabilities":["VG"]},{"model":"wan2.7-r2v","name":"Wan2.7-R2V","capabilities":["VG"]}],"detailPath":"groups/wan-reference-to-video.json"}
 {"slug":"wan-text-to-image","name":"Wan-T2I","description":"文字生成图片，写实质感细腻画面，文字内容生成，艺术风格表现","primaryCapability":"IG","capabilities":["IG"],"providers":["wan"],"itemCount":9,"items":[{"model":"wan2.2-t2i-flash","name":"Wan2.2-T2I-Flash","capabilities":["IG"]},{"model":"wan2.2-t2i-plus","name":"Wan2.2-T2I-Plus","capabilities":["IG"]},{"model":"wan2.5-t2i-preview","name":"Wan2.5-T2I-Preview","capabilities":["IG"]},{"model":"wan2.6-t2i","name":"Wan2.6-T2I","capabilities":["IG"]},{"model":"wanx-v1","name":"wanx-t2i","capabilities":["IG"]},{"model":"wanx-v1-0521","name":"万相-文本生成图像-2024-05-21","capabilities":["IG"]},{"model":"wanx2.0-t2i-turbo","name":"Wan2.0-T2I-Turbo","capabilities":["IG"]},{"model":"wanx2.1-t2i-plus","name":"Wan2.1-T2I-Plus","capabilities":["IG"]},{"model":"wanx2.1-t2i-turbo","name":"Wan2.1-T2I-Turbo","capabilities":["IG"]}],"detailPath":"groups/wan-text-to-image.json"}
 {"slug":"wan-text-to-video","name":"Wan-T2V","description":"文字生成视频内容，丝滑动态能力，电影美学控制，精准指令遵循","primaryCapability":"VG","capabilities":["VG"],"providers":["wan"],"itemCount":6,"items":[{"model":"wan2.2-t2v-plus","name":"Wan2.2-T2V-Plus","capabilities":["VG"]},{"model":"wan2.5-t2v-preview","name":"Wan2.5-T2V-Preview","capabilities":["VG"]},{"model":"wan2.6-t2v","name":"Wan2.6-T2V","capabilities":["VG"]},{"model":"wan2.7-t2v","name":"Wan2.7-T2V","capabilities":["VG"]},{"model":"wanx2.1-t2v-plus","name":"Wan2.1-T2V-Plus","capabilities":["VG"]},{"model":"wanx2.1-t2v-turbo","name":"Wan2.1-T2V-Turbo","capabilities":["VG"]}],"detailPath":"groups/wan-text-to-video.json"}
 {"slug":"wan-video-edit","name":"Wan-VideoEdit","description":"通过指令对视频进行编辑，支持局部/整体编辑、视频重塑、视频复刻等","primaryCapability":"VG","capabilities":["VG"],"providers":["wan"],"itemCount":1,"items":[{"model":"wan2.7-videoedit","name":"Wan2.7-VideoEdit","capabilities":["VG"]}],"detailPath":"groups/wan-video-edit.json"}

skills/bailian-docs-llm-wiki/models/families.jsonl

@@ -2,6 +2,86 @@
   "name": "MiniMax文本模型",
   "description": "由MiniMax提供的MiniMax-M系列文本模型API服务。",
   "items": [
+    {
+      "inferenceMetadata": {
+        "response_modality": [
+          "Text"
+        ],
+        "request_modality": [
+          "Text",
+          "Image",
+          "Video"
+        ]
+      },
+      "description": "作为新⼀代flash模型，M3.1 Flash 在 Agentic 任务、编程及⽹络安全能⼒等⽅⾯实现了全⾯提升，同时保持了极具竞争⼒的使⽤成本，在性能与效率两⽅⾯同时取得了巨⼤的提升。相⽐上⼀代 M3，M3.1 Flash 在多项基准测试中取得了显著进步，尤其在复杂 agent 任务（cowork）、软件开发（coding）及⽹络安全⽅⾯，达到了全球领先模型⽔平。",
+      "features": [
+        "function-calling",
+        "cache"
+      ],
+      "provider": "mini-max",
+      "model": "MiniMax/MiniMax-M3.1-Flash",
+      "prices": [
+        {
+          "priceUnit": "每百万tokens",
+          "price": "1",
+          "type": "input_token",
+          "priceName": "输入"
+        },
+        {
+          "priceUnit": "每百万tokens",
+          "price": "4",
+          "type": "output_token",
+          "priceName": "输出"
+        },
+        {
+          "priceUnit": "每百万tokens",
+          "price": "0.1",
+          "type": "input_token_cache",
+          "priceName": "输入（缓存命中）"
+        }
+      ],
+      "qpmInfo": {
+        "model-default-actual": {
+          "count_limit_period": 60,
+          "usage_limit": 20000000,
+          "usage_limit_field": "total_tokens",
+          "count_limit": 500,
+          "usage_limit_period": 60,
+          "type": "model-default"
+        },
+        "model-default": {
+          "count_limit_period": 60,
+          "usage_limit": 20000000,
+          "usage_limit_field": "total_tokens",
+          "count_limit": 500,
+          "usage_limit_period": 60,
+          "type": "model-default"
+        }
+      },
+      "priceTimeBands": [],
+      "capabilities": [
+        "TG",
+        "VU",
+        "Reasoning"
+      ],
+      "modelAlias": "",
+      "versionTag": "MAJOR",
+      "latestOnlineAt": "2026-10-20T09:09:01.000+00:00",
+      "contextWindow": 1048576,
+      "maxInputTokens": 1048576,
+      "inferenceProvider": "mini-max",
+      "name": "MiniMax/MiniMax-M3.1-Flash",
+      "samples": {
+        "openai": {
+          "completionsAPI": {
+            "curl": "curl -X POST https://[workspace-id].cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions \\\n-H \"Authorization: Bearer sk-xxx\" \\\n-H \"Content-Type: application/json\" \\\n-d '{\n    \"model\": \"MiniMax/MiniMax-M3.1-Flash\",\n    \"messages\": [\n        {\n            \"role\": \"user\",\n            \"content\": \"你是谁\"\n        }\n    ],\n    \"stream\": true,\n    \"enable_thinking\": true\n}'",
+            "python": "from openai import OpenAI\nimport os\n\nclient = OpenAI(\n    api_key=\"sk-xxx\",  # 替换为你的百炼API Key\n    base_url=\"https://[workspace-id].cn-beijing.maas.aliyuncs.com/compatible-mode/v1\",\n)\n\ncompletion = client.chat.completions.create(\n    model=\"MiniMax/MiniMax-M3.1-Flash\",\n    messages=[{\"role\": \"user\", \"content\": \"你是谁\"}],\n    extra_body={\"enable_thinking\": True},\n    stream=True,\n)\n\nfor chunk in completion:\n    if not chunk.choices:\n        continue\n    delta = chunk.choices[0].delta\n    if hasattr(delta, \"reasoning_content\") and delta.reasoning_content:\n        print(delta.reasoning_content, end=\"\", flush=True)\n    if hasattr(delta, \"content\") and delta.content:\n        print(delta.content, end=\"\", flush=True)",
+            "nodejs": "import OpenAI from \"openai\";\nimport process from 'process';\n\nconst openai = new OpenAI({\n    apiKey: \"sk-xxx\",  // 替换为你的百炼API Key\n    baseURL: 'https://[workspace-id].cn-beijing.maas.aliyuncs.com/compatible-mode/v1'\n});\n\nasync function main() {\n    try {\n        const stream = await openai.chat.completions.create({\n            model: 'MiniMax/MiniMax-M3.1-Flash',\n            messages: [{ role: 'user', content: '你是谁' }],\n            stream: true,\n            enable_thinking: true\n        });\n\n        for await (const chunk of stream) {\n            if (!chunk.choices || chunk.choices.length === 0) {\n                continue;\n            }\n            const delta = chunk.choices[0].delta;\n            if (delta.reasoning_content !== undefined && delta.reasoning_content) {\n                process.stdout.write(delta.reasoning_content);\n            }\n            if (delta.content !== undefined && delta.content) {\n                process.stdout.write(delta.content);\n            }\n        }\n    } catch (error) {\n        console.error('Error:', error);\n    }\n}\nmain();",
+            "docUrl": "https://docs.bailian.console.aliyun.com/zh/model-studio/minimax-api-by-minimax"
+          }
+        }
+      }
+    },
     {
       "inferenceMetadata": {
         "response_modality": [

skills/bailian-docs-llm-wiki/models/groups/minimax-models-market-place.json

@@ -61,8 +61,8 @@
       "samples": {
         "dashscope": {
           "default": {
-            "python": "# coding=utf-8\n\nimport dashscope\nfrom dashscope.audio.tts_v2 import *\n\n# If the API Key is not configured in the environment variable, your-api-key needs to be replaced with your own API Key\n# dashscope.api_key = \"your-api-key\"\n\ndashscope.base_websocket_api_url='wss://[workspace-id].cn-beijing.maas.aliyuncs.com/api-ws/v1/inference'\n\nmodel = \"qwen-audio-3.1-tts-next\"\n\n#Please enter the correct voice below.\nvoice = \"\"\n\nsynthesizer = SpeechSynthesizer(model=model, voice=voice)\naudio = synthesizer.call(\"How is the weather today?\")\n\nwith open('output.mp3', 'wb') as f:\n    f.write(audio)",
-            "docUrl": "https://docs.bailian.console.aliyun.com/zh/model-studio/realtime-tts-user-guide"
+            "python": "# coding=utf-8\n# pip install requests\n\nimport os\nimport requests\n\nresponse = requests.post(\n    \"https://[workspace-id].cn-beijing.maas.aliyuncs.com/api/v1/services/audio/tts/SpeechSynthesizer\",\n    headers={\n        \"Authorization\": f\"Bearer {os.environ['DASHSCOPE_API_KEY']}\",\n        \"Content-Type\": \"application/json\",\n    },\n    json={\n        \"model\": \"qwen-audio-3.1-tts-next\",\n        \"input\": {\n            \"text_prompt\": '一位女性清晰地说：“你好，欢迎使用。”',\n            \"format\": \"wav\",\n        },\n    },\n    timeout=300,\n)\nresponse.raise_for_status()\naudio_url = response.json()[\"output\"][\"audio\"][\"url\"]\naudio_response = requests.get(audio_url, timeout=60)\naudio_response.raise_for_status()\nwith open(\"output.wav\", \"wb\") as f:\n    f.write(audio_response.content)",
+            "docUrl": "https://docs.bailian.console.aliyun.com/zh/model-studio/audio-generation-api"
           }
         }
       }