Kimi For Coding

通过 Mastra 的模型路由器访问 4 个 Kimi For Coding 模型。系统会自动使用 KIMI_API_KEY 环境变量完成身份验证。

更多信息请参阅Kimi For Coding 文档。

.env

KIMI_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: 'kimi-for-coding/k3',
})

// 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Kimi For Coding 文档。

模型

4 available models

Model	Context	Tools	Reasoning	Image	Audio	Video	Input $/1M	Output $/1M
kimi-for-coding/k3	1.0M						—	—
kimi-for-coding/k3-256k	262K						—	—
kimi-for-coding/kimi-for-coding	262K						—	—
kimi-for-coding/kimi-for-coding-highspeed	262K						—	—

高级配置

自定义请求头

src/mastra/agents/my-agent.ts

const agent = new Agent({
  id: 'custom-agent',
  name: 'custom-agent',
  model: {
    url: 'https://api.kimi.com/coding/v1',
    id: 'kimi-for-coding/k3',
    apiKey: process.env.KIMI_API_KEY,
    headers: {
      'X-Custom-Header': 'value',
    },
  },
})

动态选择模型

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 ? 'kimi-for-coding/kimi-for-coding-highspeed' : 'kimi-for-coding/k3'
  },
})

直接安装 Provider

你也可以直接将此 Provider 安装为独立 package，用它代替 Mastra 模型路由字符串。详情请参阅package 文档。

npm

npm install @ai-sdk/anthropic

pnpm

pnpm add @ai-sdk/anthropic

Yarn

yarn add @ai-sdk/anthropic

Bun

bun add @ai-sdk/anthropic