> Discover all available pages from the documentation index: https://mastra.zisheng.pro/llms.txt # ![Kenari 标志](https://models.dev/logos/kenari.svg)Kenari 通过 Mastra 的模型路由器访问 38 个 Kenari 模型。系统会自动使用 `KENARI_API_KEY` 环境变量完成身份验证。 更多信息请参阅[Kenari 文档](https://kenari.id/docs)。 ```bash KENARI_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: 'kenari/claude-fable-5', }) // 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[Kenari 文档](https://kenari.id/docs)。 ## 模型 | Model | Context | Tools | Reasoning | Image | Audio | Video | Input $/1M | Output $/1M | | ---------------------------------------- | ------- | ----- | --------- | ----- | ----- | ----- | ---------- | ----------- | | `kenari/claude-fable-5` | 1.0M | | | | | | — | — | | `kenari/claude-opus-4-7` | 1.0M | | | | | | — | — | | `kenari/claude-opus-4-8` | 1.0M | | | | | | — | — | | `kenari/claude-sonnet-5` | 1.0M | | | | | | — | — | | `kenari/deepseek-v4-flash` | 1.0M | | | | | | — | — | | `kenari/deepseek-v4-flash:free` | 1.0M | | | | | | — | — | | `kenari/deepseek-v4-pro` | 1.0M | | | | | | — | — | | `kenari/gemini-2-5-flash` | 1.0M | | | | | | — | — | | `kenari/gemini-2-5-flash-lite` | 1.0M | | | | | | — | — | | `kenari/gemini-3-1-flash-lite` | 1.0M | | | | | | — | — | | `kenari/gemma-4-31b-it` | 262K | | | | | | — | — | | `kenari/glm-4-7-flash:free` | 200K | | | | | | — | — | | `kenari/glm-5-1` | 200K | | | | | | — | — | | `kenari/glm-5-2` | 1.0M | | | | | | — | — | | `kenari/gpt-5-4-mini` | 400K | | | | | | — | — | | `kenari/gpt-5-5` | 1.1M | | | | | | — | — | | `kenari/gpt-5-6-luna` | 1.1M | | | | | | — | — | | `kenari/gpt-5-6-sol` | 1.1M | | | | | | — | — | | `kenari/gpt-5-6-terra` | 1.1M | | | | | | — | — | | `kenari/gpt-image-2` | 272K | | | | | | — | — | | `kenari/gpt-oss-120b` | 131K | | | | | | — | — | | `kenari/gpt-oss-20b` | 131K | | | | | | — | — | | `kenari/grok-4-5` | 500K | | | | | | — | — | | `kenari/grok-build-0-1` | 256K | | | | | | — | — | | `kenari/kimi-k2-6` | 262K | | | | | | — | — | | `kenari/kimi-k2-6:free` | 262K | | | | | | — | — | | `kenari/kimi-k2-7-code` | 262K | | | | | | — | — | | `kenari/kimi-k2-7-code:free` | 262K | | | | | | — | — | | `kenari/kimi-k3` | 1.0M | | | | | | — | — | | `kenari/mimo-v2-5` | 1.0M | | | | | | — | — | | `kenari/mimo-v2-5-pro` | 1.0M | | | | | | — | — | | `kenari/mimo-v2-5:free` | 1.0M | | | | | | — | — | | `kenari/minimax-m3` | 512K | | | | | | — | — | | `kenari/nemotron-3-nano-30b-a3b` | 262K | | | | | | — | — | | `kenari/nemotron-3-super-120b-a12b` | 262K | | | | | | — | — | | `kenari/nemotron-3-super-120b-a12b:free` | 262K | | | | | | — | — | | `kenari/nemotron-3-ultra-550b-a55b` | 1.0M | | | | | | — | — | | `kenari/qwen3-7-plus` | 1.0M | | | | | | — | — | ## 高级配置 ### 自定义请求头 ```typescript const agent = new Agent({ id: 'custom-agent', name: 'custom-agent', model: { url: 'https://kenari.id/v1', id: 'kenari/claude-fable-5', apiKey: process.env.KENARI_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 ? 'kenari/qwen3-7-plus' : 'kenari/claude-fable-5' }, }) ```