DaoXE

透過 Mastra 的模型路由器存取 9 個 DaoXE 模型。系統會自動使用 DAOXE_API_KEY 環境變數完成身分驗證。

如需進一步了解，請參閱DaoXE 文件。

.env

DAOXE_API_KEY=your-api-key

src/mastra/agents/my-agent.ts

import { Agent } from '@mastra/core/agent'

const agent = new Agent({
  id: 'my-agent',
  name: 'My Agent',
  instructions: 'You are a helpful assistant',
  model: 'daoxe/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 endpoint。部分 Provider 特有功能可能無法使用，詳情請參閱DaoXE 文件。

模型

9 available models

Model	Context	Tools	Reasoning	Image	Audio	Video	Input $/1M	Output $/1M
daoxe/claude-haiku-4-5-20251001	200K						$1	$5
daoxe/claude-opus-4-8	1.0M						$5	$25
daoxe/claude-sonnet-4-6	1.0M						$3	$15
daoxe/gemini-3.1-pro-preview	1.0M						$2	$12
daoxe/gpt-5.4	1.1M						$3	$15
daoxe/gpt-5.5	1.1M						$5	$30
daoxe/grok-4.3	1.0M						$1	$3
daoxe/grok-4.5	500K						$2	$6
daoxe/kimi-k2.5	262K						$0.60	$3

進階設定

自訂標頭

src/mastra/agents/my-agent.ts

const agent = new Agent({
  id: 'custom-agent',
  name: 'custom-agent',
  model: {
    url: 'https://daoxe.com/v1',
    id: 'daoxe/claude-haiku-4-5-20251001',
    apiKey: process.env.DAOXE_API_KEY,
    headers: {
      'X-Custom-Header': 'value',
    },
  },
})

動態選擇模型

src/mastra/agents/my-agent.ts

const agent = new Agent({
  id: 'dynamic-agent',
  name: 'Dynamic Agent',
  model: ({ requestContext }) => {
    const useAdvanced = requestContext.task === 'complex'
    return useAdvanced ? 'daoxe/kimi-k2.5' : 'daoxe/claude-haiku-4-5-20251001'
  },
})