友好

🌐 Friendli

通过 Mastra 的模型路由访问 7 个 Friendli 模型。身份验证会自动使用 FRIENDLI_TOKEN 环境变量处理。

🌐 Access 7 Friendli models through Mastra's model router. Authentication is handled automatically using the FRIENDLI_TOKEN environment variable.

在Friendli文档中了解更多。

🌐 Learn more in the Friendli documentation.

.env

FRIENDLI_TOKEN=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: "friendli/LGAI-EXAONE/EXAONE-4.0.1-32B"
});

// 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);
}

info

Mastra 使用与 OpenAI 兼容的 /chat/completions 端点。某些特定提供商的功能可能无法使用。详见 Friendli 文档。

🌐 Mastra uses the OpenAI-compatible /chat/completions endpoint. Some provider-specific features may not be available. Check the Friendli documentation for details.

模型

🌐 Models

7 available models

Model	Context	Tools	Reasoning	Image	Audio	Video	Input $/1M	Output $/1M
friendli/LGAI-EXAONE/EXAONE-4.0.1-32B	131K						$0.60	$1
friendli/LGAI-EXAONE/K-EXAONE-236B-A23B	262K						—	—
friendli/meta-llama/Llama-3.1-8B-Instruct	131K						$0.10	$0.10
friendli/meta-llama/Llama-3.3-70B-Instruct	131K						$0.60	$0.60
friendli/MiniMaxAI/MiniMax-M2.1	197K						$0.30	$1
friendli/Qwen/Qwen3-235B-A22B-Instruct-2507	262K						$0.20	$0.80
friendli/zai-org/GLM-4.7	203K						—	—

高级配置

🌐 Advanced Configuration

自定义头

🌐 Custom Headers

src/mastra/agents/my-agent.ts

const agent = new Agent({
  id: "custom-agent",
  name: "custom-agent",
  model: {
    url: "https://api.friendli.ai/serverless/v1",
    id: "friendli/LGAI-EXAONE/EXAONE-4.0.1-32B",
    apiKey: process.env.FRIENDLI_TOKEN,
    headers: {
      "X-Custom-Header": "value"
    }
  }
});

动态模型选择

🌐 Dynamic Model Selection

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
      ? "friendli/zai-org/GLM-4.7"
      : "friendli/LGAI-EXAONE/EXAONE-4.0.1-32B";
  }
});