iFlow

通过 Mastra 的模型路由访问 14 个 iFlow 模型。身份验证会自动使用 IFLOW_API_KEY 环境变量处理。

🌐 Access 14 iFlow models through Mastra's model router. Authentication is handled automatically using the IFLOW_API_KEY environment variable.

在iFlow 文档中了解更多。

🌐 Learn more in the iFlow documentation.

.env

IFLOW_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: "iflowcn/deepseek-r1"
});

// 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 iFlow 文档。

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

模型

🌐 Models

14 available models

Model	Context	Tools	Reasoning	Image	Audio	Video	Input $/1M	Output $/1M
iflowcn/deepseek-r1	128K						—	—
iflowcn/deepseek-v3	128K						—	—
iflowcn/deepseek-v3.2	128K						—	—
iflowcn/glm-4.6	200K						—	—
iflowcn/kimi-k2	128K						—	—
iflowcn/kimi-k2-0905	256K						—	—
iflowcn/qwen3-235b	128K						—	—
iflowcn/qwen3-235b-a22b-instruct	256K						—	—
iflowcn/qwen3-235b-a22b-thinking-2507	256K						—	—
iflowcn/qwen3-32b	128K						—	—
iflowcn/qwen3-coder-plus	256K						—	—
iflowcn/qwen3-max	256K						—	—
iflowcn/qwen3-max-preview	256K						—	—
iflowcn/qwen3-vl-plus	256K						—	—

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://apis.iflow.cn/v1",
    id: "iflowcn/deepseek-r1",
    apiKey: process.env.IFLOW_API_KEY,
    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
      ? "iflowcn/qwen3-vl-plus"
      : "iflowcn/deepseek-r1";
  }
});