chore: update bailian-docs-llm-wiki (2026-10-23)

Author: gujieye

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

@@ -116,7 +116,7 @@
         "dashscope": {
           "default": {
             "curl": "curl -s -X POST \"https://[workspace-id].cn-beijing.maas.aliyuncs.com/api/v1/services/aigc/multimodal-generation/generation\" \\\n  -H \"Authorization: Bearer $DASHSCOPE_API_KEY\" \\\n  -H \"Content-Type: application/json\" \\\n  -d '{\n    \"model\": \"kimi-k3\",\n    \"input\": {\n      \"messages\": [\n        {\n          \"role\": \"user\",\n          \"content\": \"你是谁？\"\n        }\n      ]\n    },\n    \"parameters\": {\n      \"result_format\": \"message\"\n    }\n  }'",
-            "python": "import os\nimport dashscope\ndashscope.base_http_api_url = 'https://[workspace-id].cn-beijing.maas.aliyuncs.comapi/v1'\nmessages = [\n{\n    \"role\": \"user\",\n    \"content\": [\n    {\"text\": \"你是谁\"}]\n}]\nresponse = dashscope.MultiModalConversation.call(\n    #若没有配置环境变量， 请用百炼API Key将下行替换为： api_key =\"sk-xxx\"\n    api_key = os.getenv('DASHSCOPE_API_KEY'),\n    model = 'kimi-k3',\n    messages = messages\n)\nprint(response.output.choices[0].message.content[0][\"text\"])",
+            "python": "import os\nimport dashscope\ndashscope.base_http_api_url = 'https://[workspace-id].cn-beijing.maas.aliyuncs.com/api/v1'\nmessages = [\n{\n    \"role\": \"user\",\n    \"content\": [\n    {\"text\": \"你是谁\"}]\n}]\nresponse = dashscope.MultiModalConversation.call(\n    #若没有配置环境变量， 请用百炼API Key将下行替换为： api_key =\"sk-xxx\"\n    api_key = os.getenv('DASHSCOPE_API_KEY'),\n    model = 'kimi-k3',\n    messages = messages\n)\nprint(response.output.choices[0].message.content[0][\"text\"])",
             "java": "import java.util.Arrays;\nimport org.slf4j.Logger;\nimport org.slf4j.LoggerFactory;\nimport com.alibaba.dashscope.aigc.generation.Generation;\nimport com.alibaba.dashscope.aigc.generation.GenerationParam;\nimport com.alibaba.dashscope.aigc.generation.GenerationResult;\nimport com.alibaba.dashscope.common.Message;\nimport com.alibaba.dashscope.common.Role;\nimport com.alibaba.dashscope.exception.ApiException;\nimport com.alibaba.dashscope.exception.InputRequiredException;\nimport com.alibaba.dashscope.exception.NoApiKeyException;\nimport io.reactivex.Flowable;\nimport java.lang.System;\nimport com.alibaba.dashscope.utils.Constants;\n\npublic class Main {\n    static {\n        Constants.baseHttpApiUrl=\"https://[workspace-id].cn-beijing.maas.aliyuncs.com/api/v1\";\n    }\n    private static final Logger logger = LoggerFactory.getLogger(Main.class);\n    private static StringBuilder reasoningContent = new StringBuilder();\n    private static StringBuilder finalContent = new StringBuilder();\n    private static boolean isFirstPrint = true;\n\n    private static void handleGenerationResult(GenerationResult message) {\n        String reasoning = message.getOutput().getChoices().get(0).getMessage().getReasoningContent();\n        String content = message.getOutput().getChoices().get(0).getMessage().getContent();\n\n        if (!reasoning.isEmpty()) {\n            reasoningContent.append(reasoning);\n            if (isFirstPrint) {\n                System.out.println(\"====================思考过程====================\");\n                isFirstPrint = false;\n            }\n            System.out.print(reasoning);\n        }\n\n        if (!content.isEmpty()) {\n            finalContent.append(content);\n            if (!isFirstPrint) {\n                System.out.println(\"\\n====================完整回复====================\");\n                isFirstPrint = true;\n            }\n            System.out.print(content);\n        }\n    }\n    private static GenerationParam buildGenerationParam(Message userMsg) {\n        return GenerationParam.builder()\n                // 若没有配置环境变量，请用阿里云百炼API Key将下行替换为：.apiKey(\"sk-xxx\")\n                .apiKey(System.getenv(\"DASHSCOPE_API_KEY\"))\n                .model(\"kimi-k3\")\n                .incrementalOutput(true)\n                .resultFormat(\"message\")\n                .messages(Arrays.asList(userMsg))\n                .build();\n    }\n    public static void streamCallWithMessage(Generation gen, Message userMsg)\n            throws NoApiKeyException, ApiException, InputRequiredException {\n        GenerationParam param = buildGenerationParam(userMsg);\n        Flowable<GenerationResult> result = gen.streamCall(param);\n        result.blockingForEach(message -> handleGenerationResult(message));\n    }\n\n    public static void main(String[] args) {\n        try {\n            Generation gen = new Generation();\n            Message userMsg = Message.builder().role(Role.USER.getValue()).content(\"你是谁？\").build();\n            streamCallWithMessage(gen, userMsg);\n        } catch (ApiException | NoApiKeyException | InputRequiredException e) {\n            logger.error(\"An exception occurred: {}\", e.getMessage());\n        }\n        System.exit(0);\n    }\n}",
             "docUrl": "https://docs.bailian.console.aliyun.com/zh/model-studio/kimi-api"
           }
@@ -235,7 +235,7 @@
         "dashscope": {
           "default": {
             "curl": "curl -s -X POST \"https://[workspace-id].cn-beijing.maas.aliyuncs.com/api/v1/services/aigc/multimodal-generation/generation\" \\\n  -H \"Authorization: Bearer $DASHSCOPE_API_KEY\" \\\n  -H \"Content-Type: application/json\" \\\n  -d '{\n    \"model\": \"kimi-k2.7-code\",\n    \"input\": {\n      \"messages\": [\n        {\n          \"role\": \"user\",\n          \"content\": \"你是谁？\"\n        }\n      ]\n    },\n    \"parameters\": {\n      \"result_format\": \"message\"\n    }\n  }'",
-            "python": "import os\nimport dashscope\ndashscope.base_http_api_url = 'https://[workspace-id].cn-beijing.maas.aliyuncs.comapi/v1'\nmessages = [\n{\n    \"role\": \"user\",\n    \"content\": [\n    {\"text\": \"你是谁\"}]\n}]\nresponse = dashscope.MultiModalConversation.call(\n    #若没有配置环境变量， 请用百炼API Key将下行替换为： api_key =\"sk-xxx\"\n    api_key = os.getenv('DASHSCOPE_API_KEY'),\n    model = 'kimi-k2.7-code',\n    messages = messages\n)\nprint(response.output.choices[0].message.content[0][\"text\"])",
+            "python": "import os\nimport dashscope\ndashscope.base_http_api_url = 'https://[workspace-id].cn-beijing.maas.aliyuncs.com/api/v1'\nmessages = [\n{\n    \"role\": \"user\",\n    \"content\": [\n    {\"text\": \"你是谁\"}]\n}]\nresponse = dashscope.MultiModalConversation.call(\n    #若没有配置环境变量， 请用百炼API Key将下行替换为： api_key =\"sk-xxx\"\n    api_key = os.getenv('DASHSCOPE_API_KEY'),\n    model = 'kimi-k2.7-code',\n    messages = messages\n)\nprint(response.output.choices[0].message.content[0][\"text\"])",
             "java": "import java.util.Arrays;\nimport org.slf4j.Logger;\nimport org.slf4j.LoggerFactory;\nimport com.alibaba.dashscope.aigc.generation.Generation;\nimport com.alibaba.dashscope.aigc.generation.GenerationParam;\nimport com.alibaba.dashscope.aigc.generation.GenerationResult;\nimport com.alibaba.dashscope.common.Message;\nimport com.alibaba.dashscope.common.Role;\nimport com.alibaba.dashscope.exception.ApiException;\nimport com.alibaba.dashscope.exception.InputRequiredException;\nimport com.alibaba.dashscope.exception.NoApiKeyException;\nimport io.reactivex.Flowable;\nimport java.lang.System;\nimport com.alibaba.dashscope.utils.Constants;\n\npublic class Main {\n    static {\n        Constants.baseHttpApiUrl=\"https://[workspace-id].cn-beijing.maas.aliyuncs.com/api/v1\";\n    }\n    private static final Logger logger = LoggerFactory.getLogger(Main.class);\n    private static StringBuilder reasoningContent = new StringBuilder();\n    private static StringBuilder finalContent = new StringBuilder();\n    private static boolean isFirstPrint = true;\n\n    private static void handleGenerationResult(GenerationResult message) {\n        String reasoning = message.getOutput().getChoices().get(0).getMessage().getReasoningContent();\n        String content = message.getOutput().getChoices().get(0).getMessage().getContent();\n\n        if (!reasoning.isEmpty()) {\n            reasoningContent.append(reasoning);\n            if (isFirstPrint) {\n                System.out.println(\"====================思考过程====================\");\n                isFirstPrint = false;\n            }\n            System.out.print(reasoning);\n        }\n\n        if (!content.isEmpty()) {\n            finalContent.append(content);\n            if (!isFirstPrint) {\n                System.out.println(\"\\n====================完整回复====================\");\n                isFirstPrint = true;\n            }\n            System.out.print(content);\n        }\n    }\n    private static GenerationParam buildGenerationParam(Message userMsg) {\n        return GenerationParam.builder()\n                // 若没有配置环境变量，请用阿里云百炼API Key将下行替换为：.apiKey(\"sk-xxx\")\n                .apiKey(System.getenv(\"DASHSCOPE_API_KEY\"))\n                .model(\"kimi-k2.7-code\")\n                .incrementalOutput(true)\n                .resultFormat(\"message\")\n                .messages(Arrays.asList(userMsg))\n                .build();\n    }\n    public static void streamCallWithMessage(Generation gen, Message userMsg)\n            throws NoApiKeyException, ApiException, InputRequiredException {\n        GenerationParam param = buildGenerationParam(userMsg);\n        Flowable<GenerationResult> result = gen.streamCall(param);\n        result.blockingForEach(message -> handleGenerationResult(message));\n    }\n\n    public static void main(String[] args) {\n        try {\n            Generation gen = new Generation();\n            Message userMsg = Message.builder().role(Role.USER.getValue()).content(\"你是谁？\").build();\n            streamCallWithMessage(gen, userMsg);\n        } catch (ApiException | NoApiKeyException | InputRequiredException e) {\n            logger.error(\"An exception occurred: {}\", e.getMessage());\n        }\n        System.exit(0);\n    }\n}",
             "docUrl": "https://docs.bailian.console.aliyun.com/zh/model-studio/kimi-api"
           }

skills/bailian-docs-llm-wiki/models/groups/Kimi-K2.json

@@ -96,8 +96,8 @@
         "openai": {
           "completionsAPI": {
             "curl": "curl -X POST https://[workspace-id].cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions \\\n-H \"Authorization: Bearer $DASHSCOPE_API_KEY\" \\\n-H \"Content-Type: application/json\" \\\n-d '{\n    \"model\": \"qwen-doc-turbo\",\n    \"messages\": [\n        {\n            \"role\": \"system\",\n            \"content\": \"You are a helpful assistant.\"\n        },\n        {\n            \"role\": \"user\", \n            \"content\": \"你是谁？\"\n        }\n    ],\n    \"stream\":true\n}'",
-            "python": "import os\nfrom openai import OpenAI\n\nclient = OpenAI(\n    # 若没有配置环境变量，请用百炼API Key将下行替换为：api_key=\"sk-xxx\",\n    api_key=os.getenv(\"DASHSCOPE_API_KEY\"),\n    base_url=\"https://[workspace-id].cn-beijing.maas.aliyuncs.com/compatible-mode/v1\",\n)\ncompletion = client.chat.completions.create(\n    model=\"qwen-doc-turbo\",\n    messages=[\n        {\"role\": \"system\", \"content\": \"You are a helpful assistant.\"},\n        {\"role\": \"user\", \"content\": \"你是谁？\"},\n    ],\n    stream=True\n)\nfor chunk in completion:\n    print(chunk.choices[0].delta.content, end=\"\", flush=True)",
-            "nodejs": "import OpenAI from \"openai\";\nconst openai = new OpenAI(\n    {\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://[workspace-id].cn-beijing.maas.aliyuncs.com/compatible-mode/v1\"\n    }\n);\nconst completion = await openai.chat.completions.create({\n    model: \"qwen-doc-turbo\",\n    messages: [\n        { role: \"system\", content: \"You are a helpful assistant.\" },\n        { role: \"user\", content: \"你是谁？\" }\n    ],\n    stream: true\n});\nfor await (const chunk of completion) {\n    process.stdout.write(chunk.choices[0].delta.content);\n}",
+            "python": "import os\nfrom openai import OpenAI\n\nclient = OpenAI(\n    # 若没有配置环境变量，请用百炼API Key将下行替换为：api_key=\"sk-xxx\",\n    api_key=os.getenv(\"DASHSCOPE_API_KEY\"),\n    base_url=\"https://[workspace-id].cn-beijing.maas.aliyuncs.com/compatible-mode/v1\",\n)\ncompletion = client.chat.completions.create(\n    model=\"qwen-doc-turbo\",\n    messages=[\n        {\"role\": \"system\", \"content\": \"You are a helpful assistant.\"},\n        {\"role\": \"user\", \"content\": \"你是谁？\"},\n    ],\n    stream=True\n)\nfor chunk in completion:\n    if (chunk.choices and chunk.choices[0].delta.content):\n        print(chunk.choices[0].delta.content, end=\"\", flush=True)",
+            "nodejs": "import OpenAI from \"openai\";\nconst openai = new OpenAI(\n    {\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://[workspace-id].cn-beijing.maas.aliyuncs.com/compatible-mode/v1\"\n    }\n);\nconst completion = await openai.chat.completions.create({\n    model: \"qwen-doc-turbo\",\n    messages: [\n        { role: \"system\", content: \"You are a helpful assistant.\" },\n        { role: \"user\", content: \"你是谁？\" }\n    ],\n    stream: true\n});\nfor await (const chunk of completion) {\n    process.stdout.write(chunk.choices[0]?.delta?.content ?? \"\");\n}",
             "docUrl": "https://docs.bailian.console.aliyun.com/zh/model-studio/qwen-api-via-openai-chat-completions"
           }
         },

skills/bailian-docs-llm-wiki/models/groups/qwen-doc-turbo.json

@@ -82,8 +82,8 @@
         "openai": {
           "completionsAPI": {
             "curl": "curl -X POST https://[workspace-id].cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions \\\n-H \"Authorization: Bearer $DASHSCOPE_API_KEY\" \\\n-H \"Content-Type: application/json\" \\\n-d '{\n    \"model\": \"qwen-flash-character\",\n    \"messages\": [\n        {\n            \"role\": \"system\",\n            \"content\": \"You are a helpful assistant.\"\n        },\n        {\n            \"role\": \"user\", \n            \"content\": \"你是谁？\"\n        }\n    ],\n    \"stream\":true\n}'",
-            "python": "import os\nfrom openai import OpenAI\n\nclient = OpenAI(\n    # 若没有配置环境变量，请用百炼API Key将下行替换为：api_key=\"sk-xxx\",\n    api_key=os.getenv(\"DASHSCOPE_API_KEY\"),\n    base_url=\"https://[workspace-id].cn-beijing.maas.aliyuncs.com/compatible-mode/v1\",\n)\ncompletion = client.chat.completions.create(\n    model=\"qwen-flash-character\",\n    messages=[\n        {\"role\": \"system\", \"content\": \"You are a helpful assistant.\"},\n        {\"role\": \"user\", \"content\": \"你是谁？\"},\n    ],\n    stream=True\n)\nfor chunk in completion:\n    print(chunk.choices[0].delta.content, end=\"\", flush=True)",
-            "nodejs": "import OpenAI from \"openai\";\nconst openai = new OpenAI(\n    {\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://[workspace-id].cn-beijing.maas.aliyuncs.com/compatible-mode/v1\"\n    }\n);\nconst completion = await openai.chat.completions.create({\n    model: \"qwen-flash-character\",\n    messages: [\n        { role: \"system\", content: \"You are a helpful assistant.\" },\n        { role: \"user\", content: \"你是谁？\" }\n    ],\n    stream: true\n});\nfor await (const chunk of completion) {\n    process.stdout.write(chunk.choices[0].delta.content);\n}",
+            "python": "import os\nfrom openai import OpenAI\n\nclient = OpenAI(\n    # 若没有配置环境变量，请用百炼API Key将下行替换为：api_key=\"sk-xxx\",\n    api_key=os.getenv(\"DASHSCOPE_API_KEY\"),\n    base_url=\"https://[workspace-id].cn-beijing.maas.aliyuncs.com/compatible-mode/v1\",\n)\ncompletion = client.chat.completions.create(\n    model=\"qwen-flash-character\",\n    messages=[\n        {\"role\": \"system\", \"content\": \"You are a helpful assistant.\"},\n        {\"role\": \"user\", \"content\": \"你是谁？\"},\n    ],\n    stream=True\n)\nfor chunk in completion:\n    if (chunk.choices and chunk.choices[0].delta.content):\n        print(chunk.choices[0].delta.content, end=\"\", flush=True)",
+            "nodejs": "import OpenAI from \"openai\";\nconst openai = new OpenAI(\n    {\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://[workspace-id].cn-beijing.maas.aliyuncs.com/compatible-mode/v1\"\n    }\n);\nconst completion = await openai.chat.completions.create({\n    model: \"qwen-flash-character\",\n    messages: [\n        { role: \"system\", content: \"You are a helpful assistant.\" },\n        { role: \"user\", content: \"你是谁？\" }\n    ],\n    stream: true\n});\nfor await (const chunk of completion) {\n    process.stdout.write(chunk.choices[0]?.delta?.content ?? \"\");\n}",
             "docUrl": "https://docs.bailian.console.aliyun.com/zh/model-studio/qwen-api-via-openai-chat-completions"
           }
         },