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","maintainers":[{"name":"chenxue","email":"450907240@qq.com"}],"readme":"# AI SDK - Aihubmix Provider\n\n
\n 🇺🇸 English | \n 🇨🇳 中文 | \n 🇯🇵 日本語\n
\n\n> **🎉 10% 折扣！**\n已内置app-code，使用此方式请求所有模型可享受 10% 折扣。\n\n**[Aihubmix 官方网站](https://aihubmix.com/)** | **[模型广场](https://aihubmix.com/models)**\n\n**[Aihubmix provider](https://sdk.vercel.ai/providers/community-providers/aihubmix)** 适用于 [AI SDK](https://ai-sdk.dev/docs)\n一个网关，无限模型；一站式请求：OpenAI、Claude、Gemini、DeepSeek、Qwen 以及超过 500 个 AI 模型。\n\n## 安装 AI SDK v6 版本\n\n```bash\nnpm i @aihubmix/ai-sdk-provider\n```\n\n### （旧版）安装 AI SDK v5 版本\n\n```bash\nnpm i @aihubmix/ai-sdk-provider@0.0.6\n```\n\n## 支持的功能\n\nAihubmix provider 支持以下 AI 功能：\n\n- **文本生成**：使用各种模型进行聊天完成\n- **流式文本**：实时文本流式传输\n- **图像生成**：从文本提示创建图像\n- **嵌入**：单个和批量文本嵌入\n- **对象生成**：使用模式的结构化数据生成\n- **流式对象**：实时结构化数据流式传输\n- **语音合成**：文本转语音转换\n- **转录**：语音转文本转换\n- **工具**：网络搜索和其他工具\n\n## Provider 实例\n\n您可以从 `@aihubmix/ai-sdk-provider` 导入默认的 provider 实例 `aihubmix`：\n\n```ts\nimport { aihubmix } from '@aihubmix/ai-sdk-provider';\n```\n\n## 配置\n\n将您的 Aihubmix API 密钥设置为环境变量：\n\n```bash\nexport AIHUBMIX_API_KEY=\"your-api-key-here\"\n```\n\n或直接传递给 provider：\n\n```ts\nimport { createAihubmix } from '@aihubmix/ai-sdk-provider';\n\nconst aihubmix = createAihubmix({\n apiKey: 'your-api-key-here',\n});\n```\n\n### `appCode`（可选）\n\n每个请求都会携带 `APP-Code` 请求头。默认使用本包内置的值，因此**通常无需设置**。如果你有自己的 app code，可传入 `appCode` 覆盖默认值：\n\n```ts\nimport { createAihubmix } from '@aihubmix/ai-sdk-provider';\n\nconst aihubmix = createAihubmix({\n apiKey: 'your-api-key-here',\n appCode: 'YOUR-APP-CODE', // 可选；不传时回退到内置默认值\n});\n```\n\n### `baseURL`（可选）\n\n默认所有请求发往 `https://aihubmix.com`。若要走自建网关或代理，可传入 `baseURL`（末尾斜杠会自动去除）。`/v1`、`/gemini/v1beta` 等路径会自动拼接：\n\n```ts\nimport { createAihubmix } from '@aihubmix/ai-sdk-provider';\n\nconst aihubmix = createAihubmix({\n apiKey: 'your-api-key-here',\n baseURL: 'https://your-gateway.example.com', // 可选；默认 https://aihubmix.com\n});\n```\n\n### 自定义 `fetch`\n\n可传入自定义 `fetch` 实现（用于代理、日志或测试）。它会透传给所有模型 —— OpenAI 兼容、Claude、Gemini、Responses、转录与语音：\n\n```ts\nconst aihubmix = createAihubmix({\n apiKey: 'your-api-key-here',\n fetch: myCustomFetch,\n});\n```\n\n## 使用\n\n首先，导入必要的函数：\n\n```ts\nimport { createAihubmix } from '@aihubmix/ai-sdk-provider';\nimport { \n generateText, \n streamText, \n experimental_generateImage as generateImage, \n embed, \n embedMany, \n generateObject, \n streamObject, \n experimental_generateSpeech as generateSpeech, \n experimental_transcribe as transcribe \n} from 'ai';\nimport { z } from 'zod';\n```\n\n> **注意**：`generateImage`、`generateSpeech` 和 `transcribe` 等 API 在 AI SDK v6 中仍为实验性功能。\n\n### 生成文本\n\n```ts\nimport { aihubmix } from '@aihubmix/ai-sdk-provider';\nimport { generateText } from 'ai';\n\nconst { text } = await generateText({\n model: aihubmix('o4-mini'),\n prompt: '为4个人写一个素食千层面食谱。',\n});\n```\n\n### Claude 模型\n\n```ts\nimport { aihubmix } from '@aihubmix/ai-sdk-provider';\nimport { generateText } from 'ai';\n\nconst { text } = await generateText({\n model: aihubmix('claude-3-7-sonnet-20250219'),\n prompt: '用简单的术语解释量子计算。',\n});\n```\n\n### Gemini 模型\n\n```ts\nimport { aihubmix } from '@aihubmix/ai-sdk-provider';\nimport { generateText } from 'ai';\n\nconst { text } = await generateText({\n model: aihubmix('gemini-2.5-flash'),\n prompt: '创建一个Python脚本来对数字列表进行排序。',\n});\n```\n\n### 图像生成\n\n```ts\nimport { aihubmix } from '@aihubmix/ai-sdk-provider';\nimport { generateImage } from 'ai';\n\nconst { image } = await generateImage({\n model: aihubmix.image('gpt-image-1'),\n prompt: '山间美丽的日落',\n});\n```\n\n### 嵌入\n\n```ts\nimport { aihubmix } from '@aihubmix/ai-sdk-provider';\nimport { embed } from 'ai';\n\nconst { embedding } = await embed({\n model: aihubmix.embedding('text-embedding-ada-002'),\n value: '你好，世界！',\n});\n```\n\n### 转录\n\n```ts\nimport { aihubmix } from '@aihubmix/ai-sdk-provider';\nimport { transcribe } from 'ai';\n\nconst { text } = await transcribe({\n model: aihubmix.transcription('whisper-1'),\n audio: audioFile,\n});\n```\n\n### 流式文本\n\n```ts\nimport { aihubmix } from '@aihubmix/ai-sdk-provider';\nimport { streamText } from 'ai';\n\nconst result = streamText({\n model: aihubmix('gpt-3.5-turbo'),\n prompt: '写一个关于机器人学习绘画的短故事。',\n maxOutputTokens: 256,\n temperature: 0.3,\n maxRetries: 3,\n});\n\nlet fullText = '';\nfor await (const textPart of result.textStream) {\n fullText += textPart;\n process.stdout.write(textPart);\n}\n\nconsole.log('\\n使用情况:', await result.usage);\nconsole.log('完成原因:', await result.finishReason);\n```\n\n### 生成对象\n\n```ts\nimport { aihubmix } from '@aihubmix/ai-sdk-provider';\nimport { generateObject } from 'ai';\nimport { z } from 'zod';\n\nconst result = await generateObject({\n model: aihubmix('gpt-4o-mini'),\n schema: z.object({\n recipe: z.object({\n name: z.string(),\n ingredients: z.array(\n z.object({\n name: z.string(),\n amount: z.string(),\n }),\n ),\n steps: z.array(z.string()),\n }),\n }),\n prompt: '生成一个千层面食谱。',\n});\n\nconsole.log(JSON.stringify(result.object.recipe, null, 2));\nconsole.log('Token使用情况:', result.usage);\nconsole.log('完成原因:', result.finishReason);\n```\n\n### 流式对象\n\n```ts\nimport { aihubmix } from '@aihubmix/ai-sdk-provider';\nimport { streamObject } from 'ai';\nimport { z } from 'zod';\n\nconst result = await streamObject({\n model: aihubmix('gpt-4o-mini'),\n schema: z.object({\n recipe: z.object({\n name: z.string(),\n ingredients: z.array(\n z.object({\n name: z.string(),\n amount: z.string(),\n }),\n ),\n steps: z.array(z.string()),\n }),\n }),\n prompt: '生成一个千层面食谱。',\n});\n\nfor await (const objectPart of result.partialObjectStream) {\n console.log(objectPart);\n}\n\nconsole.log('Token使用情况:', result.usage);\nconsole.log('最终对象:', result.object);\n```\n\n### 批量嵌入\n\n```ts\nimport { aihubmix } from '@aihubmix/ai-sdk-provider';\nimport { embedMany } from 'ai';\n\nconst { embeddings, usage } = await embedMany({\n model: aihubmix.embedding('text-embedding-3-small'),\n values: [\n '海滩上的晴天',\n '城市里的雨天下午',\n '山间的雪夜',\n ],\n});\n\nconsole.log('嵌入向量:', embeddings);\nconsole.log('使用情况:', usage);\n```\n\n### 语音合成\n\n```ts\nimport { aihubmix } from '@aihubmix/ai-sdk-provider';\nimport { generateSpeech } from 'ai';\n\nconst { audio } = await generateSpeech({\n model: aihubmix.speech('tts-1'),\n text: '你好，这是语音合成的测试。',\n});\n\n// 保存音频文件\nawait saveAudioFile(audio);\nconsole.log('音频生成成功:', audio);\n```\n\n### 工具\n\nAihubmix provider 支持各种工具，包括网络搜索：\n\n```ts\nimport { aihubmix } from '@aihubmix/ai-sdk-provider';\nimport { generateText } from 'ai';\n\nconst { text } = await generateText({\n model: aihubmix('gpt-4'),\n prompt: 'AI的最新发展是什么？',\n tools: {\n webSearchPreview: aihubmix.tools.webSearchPreview({\n searchContextSize: 'high',\n }),\n },\n});\n```\n\n## 附加资源\n\n- [Aihubmix Provider 仓库](https://github.com/AIhubmix/ai-sdk-provider)\n- [Aihubmix 文档](https://docs.aihubmix.com/en)\n- [Aihubmix 控制台](https://aihubmix.com)\n- [Aihubmix 商务合作](mailto:business@aihubmix.com) \n","readmeFilename":"README.zh.md"}