engy

Access 8 engy models through Mastra's model router. Authentication is handled automatically using the ENGY_API_KEY environment variable.

Learn more in the engy documentation.

.env

ENGY_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: "engy/deepseek-v4-flash-0731"
});

// 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);
}

note

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

Models

8 available models

Model	Context	Tools	Reasoning	Image	Audio	Video	Input $/1M	Output $/1M
engy/deepseek-v4-flash-0731	1.0M						$0.04	$0.09
engy/deepseek-v4.1-flash	328K						$0.04	$0.08
engy/glm-5.2	262K						$0.68	$2
engy/glm-5.3	328K						$0.98	$3
engy/glm-5.3-flash	262K						$0.14	$0.45
engy/kimi-k3	1.1M						$2	$10
engy/qwen3.6-35b-a3b	208K						$0.04	$0.30
engy/qwen3.8-27b	1.0M						$0.04	$0.32

Model availability, capabilities, context windows, and pricing are sourced from models.dev and may change.

Advanced configuration

Custom headers

src/mastra/agents/my-agent.ts

const agent = new Agent({
  id: "custom-agent",
  name: "custom-agent",
  model: {
    url: "https://api.engy.ai/v1",
    id: "engy/deepseek-v4-flash-0731",
    apiKey: process.env.ENGY_API_KEY,
    headers: {
      "X-Custom-Header": "value"
    }
  }
});

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
      ? "engy/qwen3.8-27b"
      : "engy/deepseek-v4-flash-0731";
  }
});