> Discover all available pages from the documentation index: https://mastra.zisheng.pro/zh-TW/llms.txt # ![Inference 標誌](https://models.dev/logos/inference.svg)Inference 透過 Mastra 的模型路由器存取 9 個 Inference 模型。系統會自動使用 `INFERENCE_API_KEY` 環境變數完成身分驗證。 如需進一步了解,請參閱[Inference 文件](https://inference.net/models)。 ```bash INFERENCE_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: 'inference/google/gemma-3', }) // 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[Inference 文件](https://inference.net/models)。 ## 模型 | Model | Context | Tools | Reasoning | Image | Audio | Video | Input $/1M | Output $/1M | | ---------------------------------------------- | ------- | ----- | --------- | ----- | ----- | ----- | ---------- | ----------- | | `inference/google/gemma-3` | 125K | | | | | | $0.15 | $0.30 | | `inference/meta/llama-3.1-8b-instruct` | 16K | | | | | | $0.03 | $0.03 | | `inference/meta/llama-3.2-11b-vision-instruct` | 16K | | | | | | $0.06 | $0.06 | | `inference/meta/llama-3.2-1b-instruct` | 16K | | | | | | $0.01 | $0.01 | | `inference/meta/llama-3.2-3b-instruct` | 16K | | | | | | $0.02 | $0.02 | | `inference/mistral/mistral-nemo-12b-instruct` | 16K | | | | | | $0.04 | $0.10 | | `inference/osmosis/osmosis-structure-0.6b` | 4K | | | | | | $0.10 | $0.50 | | `inference/qwen/qwen-2.5-7b-vision-instruct` | 125K | | | | | | $0.20 | $0.20 | | `inference/qwen/qwen3-embedding-4b` | 32K | | | | | | $0.01 | — | ## 進階設定 ### 自訂標頭 ```typescript const agent = new Agent({ id: 'custom-agent', name: 'custom-agent', model: { url: 'https://inference.net/v1', id: 'inference/google/gemma-3', apiKey: process.env.INFERENCE_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 ? 'inference/qwen/qwen3-embedding-4b' : 'inference/google/gemma-3' }, }) ```