> Discover all available pages from the documentation index: https://mastra.zisheng.pro/zh-TW/llms.txt # ![TensorX 標誌](https://models.dev/logos/tensorx.svg)TensorX 透過 Mastra 的模型路由器存取 25 個 TensorX 模型。系統會自動使用 `TENSORX_API_KEY` 環境變數完成身分驗證。 如需進一步了解,請參閱[TensorX 文件](https://docs.tensorx.ai/)。 ```bash TENSORX_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: 'tensorx/deepseek/deepseek-chat-v3.1', }) // 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` endpoint。部分 Provider 特有功能可能無法使用,詳情請參閱[TensorX 文件](https://docs.tensorx.ai/)。 ## 模型 | Model | Context | Tools | Reasoning | Image | Audio | Video | Input $/1M | Output $/1M | | ------------------------------------------- | ------- | ----- | --------- | ----- | ----- | ----- | ---------- | ----------- | | `tensorx/deepseek/deepseek-chat-v3.1` | 164K | | | | | | $0.20 | $0.80 | | `tensorx/deepseek/deepseek-r1-0528` | 164K | | | | | | $0.66 | $3 | | `tensorx/deepseek/deepseek-v3.2` | 164K | | | | | | $0.30 | $0.50 | | `tensorx/deepseek/deepseek-v4-flash` | 1.0M | | | | | | $0.15 | $0.30 | | `tensorx/deepseek/deepseek-v4-flash-0731` | 1.0M | | | | | | $0.25 | $0.30 | | `tensorx/deepseek/deepseek-v4-pro` | 1.0M | | | | | | $2 | $4 | | `tensorx/minimax/minimax-m2.5` | 197K | | | | | | $0.30 | $1 | | `tensorx/minimax/minimax-m3` | 1.0M | | | | | | $0.40 | $2 | | `tensorx/moonshotai/kimi-k2.5` | 262K | | | | | | $0.50 | $3 | | `tensorx/moonshotai/kimi-k2.6` | 262K | | | | | | $1 | $4 | | `tensorx/moonshotai/kimi-k2.7-code` | 262K | | | | | | $1 | $5 | | `tensorx/moonshotai/kimi-k3` | 1.0M | | | | | | $3 | $15 | | `tensorx/nvidia/nemotron-3-super-120b-a12b` | 262K | | | | | | $0.30 | $0.90 | | `tensorx/openai/gpt-oss-120b` | 131K | | | | | | $0.04 | $0.20 | | `tensorx/qwen/qwen3-235b-a22b-2507` | 131K | | | | | | $0.07 | $0.46 | | `tensorx/qwen/qwen3-coder-30b-a3b-instruct` | 262K | | | | | | $0.06 | $0.25 | | `tensorx/qwen/qwen3-vl-235b-a22b-instruct` | 131K | | | | | | $0.21 | $2 | | `tensorx/qwen/qwen3.5-122b-a10b` | 262K | | | | | | $0.50 | $4 | | `tensorx/qwen/qwen3.5-9b` | 262K | | | | | | $0.15 | $0.20 | | `tensorx/z-ai/glm-4.7` | 200K | | | | | | $0.60 | $2 | | `tensorx/z-ai/glm-5` | 203K | | | | | | $1 | $3 | | `tensorx/z-ai/glm-5-turbo` | 203K | | | | | | $1 | $4 | | `tensorx/z-ai/glm-5.1` | 203K | | | | | | $1 | $4 | | `tensorx/z-ai/glm-5.2` | 1.0M | | | | | | $2 | $5 | | `tensorx/z-ai/glm-5v-turbo` | 203K | | | | | | $1 | $4 | ## 進階設定 ### 自訂標頭 ```typescript const agent = new Agent({ id: 'custom-agent', name: 'custom-agent', model: { url: 'https://api.tensorx.ai/v1', id: 'tensorx/deepseek/deepseek-chat-v3.1', apiKey: process.env.TENSORX_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 ? 'tensorx/z-ai/glm-5v-turbo' : 'tensorx/deepseek/deepseek-chat-v3.1' }, }) ```