> Discover all available pages from the documentation index: https://mastra.zisheng.pro/zh-HK/llms.txt # ![QiHang 標誌](https://models.dev/logos/qihang-ai.svg)QiHang 透過 Mastra 的模型路由器存取 9 個 QiHang 模型。系統會自動使用 `QIHANG_API_KEY` 環境變數進行驗證。 詳情請參閱[QiHang 文件](https://www.qhaigc.net/docs)。 ```bash QIHANG_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: 'qihang-ai/claude-haiku-4-5-20251001', }) // 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[QiHang 文件](https://www.qhaigc.net/docs)。 ## 模型 | Model | Context | Tools | Reasoning | Image | Audio | Video | Input $/1M | Output $/1M | | -------------------------------------- | ------- | ----- | --------- | ----- | ----- | ----- | ---------- | ----------- | | `qihang-ai/claude-haiku-4-5-20251001` | 200K | | | | | | $0.14 | $0.71 | | `qihang-ai/claude-opus-4-5-20251101` | 200K | | | | | | $0.71 | $4 | | `qihang-ai/claude-sonnet-4-5-20250929` | 200K | | | | | | $0.43 | $2 | | `qihang-ai/gemini-2.5-flash` | 1.0M | | | | | | $0.09 | $0.71 | | `qihang-ai/gemini-3-flash-preview` | 1.0M | | | | | | $0.07 | $0.43 | | `qihang-ai/gemini-3-pro-preview` | 1.0M | | | | | | $0.57 | $3 | | `qihang-ai/gpt-5-mini` | 200K | | | | | | $0.04 | $0.29 | | `qihang-ai/gpt-5.2` | 400K | | | | | | $0.25 | $2 | | `qihang-ai/gpt-5.2-codex` | 400K | | | | | | $0.14 | $1 | ## 進階設定 ### 自訂標頭 ```typescript const agent = new Agent({ id: 'custom-agent', name: 'custom-agent', model: { url: 'https://api.qhaigc.net/v1', id: 'qihang-ai/claude-haiku-4-5-20251001', apiKey: process.env.QIHANG_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 ? 'qihang-ai/gpt-5.2-codex' : 'qihang-ai/claude-haiku-4-5-20251001' }, }) ```