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Access 6 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
Direct link to Models

ModelContextToolsReasoningImageAudioVideoInput $/1MOutput $/1M
inceptron/MiniMaxAI/MiniMax-M2.5197K$0.15$0.90
inceptron/moonshotai/Kimi-K2.6262K$0.66$4
inceptron/moonshotai/Kimi-K2.6-Fast262K$1$7
inceptron/moonshotai/Kimi-K2.7-Code262K$0.75$4
inceptron/zai-org/GLM-5.1-FP8203K$1$4
inceptron/zai-org/GLM-5.21.0M$1$4
6 available models

Advanced configuration
Direct link to Advanced configuration

Custom headers
Direct link to 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
Direct link to 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-5.2"
: "inceptron/MiniMaxAI/MiniMax-M2.5";
}
});
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