> Discover all available pages from the documentation index: https://mastra.zisheng.pro/llms.txt # ![QiHang 标志](https://models.dev/logos/qihang-ai.svg)QiHang 通过 Mastra 的模型路由器访问 9 个 QiHang 模型。系统会自动使用 `QIHANG_API_KEY` 环境变量完成身份验证。 更多信息请参阅[QiHang 文档](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) } ``` > **信息:** Mastra 使用兼容 OpenAI 的 `/chat/completions` endpoint。部分 Provider 特有功能可能不可用,详情请参阅[QiHang 文档](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 | ## 高级配置 ### 自定义请求头 ```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', }, }, }) ``` ### 动态选择模型 ```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' }, }) ```