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Mastra의 Model 라우터를 통해 91개의 Qiniu Model에 액세스하세요. 인증은 다음을 사용하여 자동으로 처리됩니다.QINIU_API_KEY environment variable.

자세한 내용은 다음에서 확인하세요.Qiniu documentation.

.env
QINIU_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: "qiniu-ai/MiniMax-M1"
});

// 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 Qiniu 문서를 확인하세요.

Model
Model에 대한 직접 링크

ModelContextToolsReasoningImageAudioVideoInput $/1MOutput $/1M
qiniu-ai/claude-3.5-haiku200K——
qiniu-ai/claude-3.5-sonnet200K——
qiniu-ai/claude-3.7-sonnet200K——
qiniu-ai/claude-4.0-opus200K——
qiniu-ai/claude-4.0-sonnet200K——
qiniu-ai/claude-4.1-opus200K——
qiniu-ai/claude-4.5-haiku200K——
qiniu-ai/claude-4.5-opus200K——
qiniu-ai/claude-4.5-sonnet200K——
qiniu-ai/deepseek-r1128K——
qiniu-ai/deepseek-r1-0528128K——
qiniu-ai/deepseek-v3128K——
qiniu-ai/deepseek-v3-0324128K——
qiniu-ai/deepseek-v3.1128K——
qiniu-ai/deepseek/deepseek-math-v2160K——
qiniu-ai/deepseek/deepseek-v3.1-terminus128K——
qiniu-ai/deepseek/deepseek-v3.1-terminus-thinking128K——
qiniu-ai/deepseek/deepseek-v3.2-251201128K——
qiniu-ai/deepseek/deepseek-v3.2-exp128K——
qiniu-ai/deepseek/deepseek-v3.2-exp-thinking128K——
qiniu-ai/doubao-1.5-pro-32k128K——
qiniu-ai/doubao-1.5-thinking-pro128K——
qiniu-ai/doubao-1.5-vision-pro128K——
qiniu-ai/doubao-seed-1.6256K——
qiniu-ai/doubao-seed-1.6-flash256K——
qiniu-ai/doubao-seed-1.6-thinking256K——
qiniu-ai/doubao-seed-2.0-code256K——
qiniu-ai/doubao-seed-2.0-lite256K——
qiniu-ai/doubao-seed-2.0-mini256K——
qiniu-ai/doubao-seed-2.0-pro256K——
qiniu-ai/gemini-2.0-flash1.0M——
qiniu-ai/gemini-2.0-flash-lite1.0M——
qiniu-ai/gemini-2.5-flash1.0M——
qiniu-ai/gemini-2.5-flash-image33K——
qiniu-ai/gemini-2.5-flash-lite1.0M——
qiniu-ai/gemini-2.5-pro1.0M——
qiniu-ai/gemini-3.0-flash-preview1.0M——
qiniu-ai/gemini-3.0-pro-image-preview33K——
qiniu-ai/gemini-3.0-pro-preview1.0M——
qiniu-ai/glm-4.5131K——
qiniu-ai/glm-4.5-air131K——
qiniu-ai/gpt-oss-120b128K——
qiniu-ai/gpt-oss-20b128K——
qiniu-ai/kimi-k2128K——
qiniu-ai/kling-v2-6100.0M——
qiniu-ai/meituan/longcat-flash-chat131K——
qiniu-ai/meituan/longcat-flash-lite256K——
qiniu-ai/mimo-v2-flash256K$0.10$0.30
qiniu-ai/MiniMax-M11.0M——
qiniu-ai/minimax/minimax-m2200K——
qiniu-ai/minimax/minimax-m2.1205K——
qiniu-ai/minimax/minimax-m2.5205K——
qiniu-ai/minimax/minimax-m2.5-highspeed205K——
qiniu-ai/moonshotai/kimi-k2-0905256K——
qiniu-ai/moonshotai/kimi-k2-thinking256K——
qiniu-ai/moonshotai/kimi-k2.5256K——
qiniu-ai/openai/gpt-5400K——
qiniu-ai/openai/gpt-5.2400K——
qiniu-ai/qwen-max-2025-01-25128K——
qiniu-ai/qwen-turbo1.0M——
qiniu-ai/qwen-vl-max-2025-01-25128K——
qiniu-ai/qwen2.5-vl-72b-instruct128K——
qiniu-ai/qwen2.5-vl-7b-instruct128K——
qiniu-ai/qwen3-235b-a22b128K——
qiniu-ai/qwen3-235b-a22b-instruct-2507262K——
qiniu-ai/qwen3-235b-a22b-thinking-2507262K——
qiniu-ai/qwen3-30b-a3b40K——
qiniu-ai/qwen3-30b-a3b-instruct-2507128K——
qiniu-ai/qwen3-30b-a3b-thinking-2507126K——
qiniu-ai/qwen3-32b40K——
qiniu-ai/qwen3-coder-480b-a35b-instruct262K——
qiniu-ai/qwen3-max262K——
qiniu-ai/qwen3-max-preview256K——
qiniu-ai/qwen3-next-80b-a3b-instruct131K——
qiniu-ai/qwen3-next-80b-a3b-thinking131K——
qiniu-ai/qwen3-vl-30b-a3b-thinking128K——
qiniu-ai/qwen3.5-397b-a17b256K——
qiniu-ai/stepfun-ai/gelab-zero-4b-preview8K——
qiniu-ai/stepfun/step-3.5-flash64K——
qiniu-ai/x-ai/grok-4-fast2.0M——
qiniu-ai/x-ai/grok-4-fast-non-reasoning2.0M——
qiniu-ai/x-ai/grok-4-fast-reasoning2.0M——
qiniu-ai/x-ai/grok-4.1-fast2.0M——
qiniu-ai/x-ai/grok-4.1-fast-non-reasoning2.0M——
qiniu-ai/x-ai/grok-4.1-fast-reasoning20.0M——
qiniu-ai/x-ai/grok-code-fast-1256K——
qiniu-ai/xiaomi/mimo-v2-flash256K$0.10$0.30
qiniu-ai/z-ai/autoglm-phone-9b13K——
qiniu-ai/z-ai/glm-4.6200K——
qiniu-ai/z-ai/glm-4.7200K——
qiniu-ai/z-ai/glm-5200K——
91 available models

고급 구성
고급 구성에 대한 직접 링크

맞춤 헤더
맞춤 헤더에 대한 직접 링크

src/mastra/agents/my-agent.ts
const agent = new Agent({
  id: "custom-agent",
  name: "custom-agent",
  model: {
    url: "https://api.qnaigc.com/v1",
    id: "qiniu-ai/MiniMax-M1",
    apiKey: process.env.QINIU_API_KEY,
    headers: {
      "X-Custom-Header": "value"
    }
  }
});

동적 Model 선택
동적 Model 선택에 대한 직접 링크

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
      ? "qiniu-ai/z-ai/glm-5"
      : "qiniu-ai/MiniMax-M1";
  }
});
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