> Discover all available pages from the documentation index: https://mastra.zisheng.pro/zh-HK/llms.txt # ![iFlow 標誌](https://models.dev/logos/iflowcn.svg)iFlow 透過 Mastra 的模型路由器存取 14 個 iFlow 模型。系統會自動使用 `IFLOW_API_KEY` 環境變數進行驗證。 詳情請參閱[iFlow 文件](https://platform.iflow.cn/en/docs)。 ```bash IFLOW_API_KEY=your-api-key ``` ```typescript import { Agent } from '@mastra/core/agent' const agent = new Agent({ id: 'my-agent', name: 'My Agent', instructions: 'You are a helpful assistant', model: 'iflowcn/deepseek-r1', }) // Generate a response const response = await agent.generate('Hello!') // Stream a response const stream = await agent.stream('Tell me a story') for await (const chunk of stream) { console.log(chunk) } ``` > **資訊:** Mastra 使用與 OpenAI 相容的 `/chat/completions` 端點。部分 Provider 專屬功能可能無法使用,詳情請參閱[iFlow 文件](https://platform.iflow.cn/en/docs)。 ## 模型 | Model | Context | Tools | Reasoning | Image | Audio | Video | Input $/1M | Output $/1M | | --------------------------------------- | ------- | ----- | --------- | ----- | ----- | ----- | ---------- | ----------- | | `iflowcn/deepseek-r1` | 128K | | | | | | — | — | | `iflowcn/deepseek-v3` | 128K | | | | | | — | — | | `iflowcn/deepseek-v3.2` | 128K | | | | | | — | — | | `iflowcn/glm-4.6` | 200K | | | | | | — | — | | `iflowcn/kimi-k2` | 128K | | | | | | — | — | | `iflowcn/kimi-k2-0905` | 256K | | | | | | — | — | | `iflowcn/qwen3-235b` | 128K | | | | | | — | — | | `iflowcn/qwen3-235b-a22b-instruct` | 256K | | | | | | — | — | | `iflowcn/qwen3-235b-a22b-thinking-2507` | 256K | | | | | | — | — | | `iflowcn/qwen3-32b` | 128K | | | | | | — | — | | `iflowcn/qwen3-coder-plus` | 256K | | | | | | — | — | | `iflowcn/qwen3-max` | 256K | | | | | | — | — | | `iflowcn/qwen3-max-preview` | 256K | | | | | | — | — | | `iflowcn/qwen3-vl-plus` | 256K | | | | | | — | — | ## 進階設定 ### 自訂標頭 ```typescript const agent = new Agent({ id: 'custom-agent', name: 'custom-agent', model: { url: 'https://apis.iflow.cn/v1', id: 'iflowcn/deepseek-r1', apiKey: process.env.IFLOW_API_KEY, headers: { 'X-Custom-Header': 'value', }, }, }) ``` ### 動態選擇模型 ```typescript const agent = new Agent({ id: 'dynamic-agent', name: 'Dynamic Agent', model: ({ requestContext }) => { const useAdvanced = requestContext.task === 'complex' return useAdvanced ? 'iflowcn/qwen3-vl-plus' : 'iflowcn/deepseek-r1' }, }) ```