Inceptron

Access 4 Inceptron models through Mastra's model router. Authentication is handled automatically using the INCEPTRON_API_KEY environment variable.

Learn more in the Inceptron documentation.

.env

INCEPTRON_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: "inceptron/MiniMaxAI/MiniMax-M2.5"
});

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

Models

4 available models

Model	Context	Tools	Reasoning	Image	Audio	Video	Input $/1M	Output $/1M
inceptron/MiniMaxAI/MiniMax-M2.5	197K						$0.24	$0.90
inceptron/moonshotai/Kimi-K2.6	262K						$0.78	$4
inceptron/nvidia/llama-3.3-70b-instruct-fp8	131K						$0.12	$0.38
inceptron/zai-org/GLM-5.1-FP8	203K						$1	$4

Advanced configuration

Custom headers

src/mastra/agents/my-agent.ts

const agent = new Agent({
  id: "custom-agent",
  name: "custom-agent",
  model: {
    url: "https://api.inceptron.io/v1",
    id: "inceptron/MiniMaxAI/MiniMax-M2.5",
    apiKey: process.env.INCEPTRON_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
      ? "inceptron/zai-org/GLM-5.1-FP8"
      : "inceptron/MiniMaxAI/MiniMax-M2.5";
  }
});