Tencent Coding Plan (China)

Access 8 Tencent Coding Plan (China) models through Mastra's model router. Authentication is handled automatically using the TENCENT_CODING_PLAN_API_KEY environment variable.

Learn more in the Tencent Coding Plan (China) documentation.

TENCENT_CODING_PLAN_API_KEY=your-api-key

import { Agent } from "@mastra/core/agent";

const agent = new Agent({
  id: "my-agent",
  name: "My Agent",
  instructions: "You are a helpful assistant",
  model: "tencent-coding-plan/glm-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 Tencent Coding Plan (China) documentation for details.

:::

Models

<ProviderModelsTable models={[ { "model": "tencent-coding-plan/glm-5", "imageInput": false, "audioInput": false, "videoInput": false, "toolUsage": true, "reasoning": true, "contextWindow": 202752, "maxOutput": 16384, "inputCost": null, "outputCost": null }, { "model": "tencent-coding-plan/hunyuan-2.0-instruct", "imageInput": false, "audioInput": false, "videoInput": false, "toolUsage": true, "reasoning": false, "contextWindow": 131072, "maxOutput": 16384, "inputCost": null, "outputCost": null }, { "model": "tencent-coding-plan/hunyuan-2.0-thinking", "imageInput": false, "audioInput": false, "videoInput": false, "toolUsage": true, "reasoning": true, "contextWindow": 131072, "maxOutput": 16384, "inputCost": null, "outputCost": null }, { "model": "tencent-coding-plan/hunyuan-t1", "imageInput": false, "audioInput": false, "videoInput": false, "toolUsage": true, "reasoning": true, "contextWindow": 131072, "maxOutput": 16384, "inputCost": null, "outputCost": null }, { "model": "tencent-coding-plan/hunyuan-turbos", "imageInput": false, "audioInput": false, "videoInput": false, "toolUsage": true, "reasoning": false, "contextWindow": 131072, "maxOutput": 16384, "inputCost": null, "outputCost": null }, { "model": "tencent-coding-plan/kimi-k2.5", "imageInput": true, "audioInput": false, "videoInput": true, "toolUsage": true, "reasoning": true, "contextWindow": 262144, "maxOutput": 32768, "inputCost": null, "outputCost": null }, { "model": "tencent-coding-plan/minimax-m2.5", "imageInput": false, "audioInput": false, "videoInput": false, "toolUsage": true, "reasoning": true, "contextWindow": 204800, "maxOutput": 32768, "inputCost": null, "outputCost": null }, { "model": "tencent-coding-plan/tc-code-latest", "imageInput": false, "audioInput": false, "videoInput": false, "toolUsage": true, "reasoning": false, "contextWindow": 131072, "maxOutput": 16384, "inputCost": null, "outputCost": null } ]} />

Advanced configuration

Custom headers

const agent = new Agent({
  id: "custom-agent",
  name: "custom-agent",
  model: {
    url: "https://api.lkeap.cloud.tencent.com/coding/v3",
    id: "tencent-coding-plan/glm-5",
    apiKey: process.env.TENCENT_CODING_PLAN_API_KEY,
    headers: {
      "X-Custom-Header": "value"
    }
  }
});

Dynamic model selection

const agent = new Agent({
  id: "dynamic-agent",
  name: "Dynamic Agent",
  model: ({ requestContext }) => {
    const useAdvanced = requestContext.task === "complex";
    return useAdvanced
      ? "tencent-coding-plan/tc-code-latest"
      : "tencent-coding-plan/glm-5";
  }
});