CloudFerro Sherlock

透過 Mastra 的模型路由器存取 5 個 CloudFerro Sherlock 模型。系統會自動使用 CLOUDFERRO_SHERLOCK_API_KEY 環境變數進行驗證。

詳情請參閱CloudFerro Sherlock 文件。

.env

CLOUDFERRO_SHERLOCK_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: 'cloudferro-sherlock/MiniMaxAI/MiniMax-M2.5',
})

// 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)
}

資訊

Mastra 使用與 OpenAI 相容的 /chat/completions 端點。部分 Provider 專屬功能可能無法使用，詳情請參閱CloudFerro Sherlock 文件。

模型

5 available models

Model	Context	Tools	Reasoning	Image	Audio	Video	Input $/1M	Output $/1M
cloudferro-sherlock/meta-llama/Llama-3.3-70B-Instruct	70K						$3	$3
cloudferro-sherlock/MiniMaxAI/MiniMax-M2.5	196K						$0.30	$1
cloudferro-sherlock/openai/gpt-oss-120b	131K						$3	$3
cloudferro-sherlock/speakleash/Bielik-11B-v2.6-Instruct	32K						$0.67	$0.67
cloudferro-sherlock/speakleash/Bielik-11B-v3.0-Instruct	32K						$0.67	$0.67

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://api-sherlock.cloudferro.com/openai/v1/',
    id: 'cloudferro-sherlock/MiniMaxAI/MiniMax-M2.5',
    apiKey: process.env.CLOUDFERRO_SHERLOCK_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
      ? 'cloudferro-sherlock/speakleash/Bielik-11B-v3.0-Instruct'
      : 'cloudferro-sherlock/MiniMaxAI/MiniMax-M2.5'
  },
})