Tencent Token Plan

Access 2 Tencent Token Plan models through Mastra's model router. Authentication is handled automatically using the TENCENT_TOKEN_PLAN_API_KEY environment variable.

Learn more in the Tencent Token Plan documentation.

.env

TENCENT_TOKEN_PLAN_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: "tencent-token-plan/hy3"
});

// 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);
}

备注

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

Models

2 available models

Model	Context	Tools	Reasoning	Image	Audio	Video	Input $/1M	Output $/1M
tencent-token-plan/hy3	256K						—	—
tencent-token-plan/hy4-preview	1.0M						$0.83	$3

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.lkeap.cloud.tencent.com/plan/v3",
    id: "tencent-token-plan/hy3",
    apiKey: process.env.TENCENT_TOKEN_PLAN_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
      ? "tencent-token-plan/hy4-preview"
      : "tencent-token-plan/hy3";
  }
});