Berget.AI

Mastra의 Model 라우터를 통해 9개의 Berget.AI Model에 액세스하세요. 인증은 다음을 사용하여 자동으로 처리됩니다.BERGET_API_KEY environment variable.

자세한 내용은 다음에서 확인하세요.Berget.AI documentation.

.env

BERGET_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: "berget/google/gemma-4-31B-it"
});

// 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);
}

정보

Mastra는 OpenAI 호환 /chat/completions 엔드포인트를 사용합니다. 일부 Provider별 기능은 사용하지 못할 수 있습니다. 자세한 내용은 Berget.AI 문서를 참조하세요.

Model

9 available models

Model	Context	Tools	Reasoning	Image	Audio	Video	Input $/1M	Output $/1M
berget/google/gemma-4-31B-it	128K						$0.28	$0.55
berget/meta-llama/Llama-3.3-70B-Instruct	128K						$0.99	$0.99
berget/mistralai/Mistral-Medium-3.5-128B	262K						$2	$6
berget/mistralai/Mistral-Small-3.2-24B-Instruct-2506	32K						$0.33	$0.33
berget/moonshotai/Kimi-K2.6	262K						$0.83	$4
berget/moonshotai/Kimi-K3	328K						$3	$15
berget/openai/gpt-oss-120b	128K						$0.22	$0.83
berget/zai-org/GLM-4.7	128K						$0.77	$3
berget/zai-org/GLM-5.2	524K						$2	$5

고급 구성

맞춤 헤더

src/mastra/agents/my-agent.ts

const agent = new Agent({
  id: "custom-agent",
  name: "custom-agent",
  model: {
    url: "https://api.berget.ai/v1",
    id: "berget/google/gemma-4-31B-it",
    apiKey: process.env.BERGET_API_KEY,
    headers: {
      "X-Custom-Header": "value"
    }
  }
});

동적 Model 선택

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
      ? "berget/zai-org/GLM-5.2"
      : "berget/google/gemma-4-31B-it";
  }
});