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WorkBuddy

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Última atualização: 2026-07-23 15:08:39
WorkBuddy is an all-scenario desktop AI agent launched by Tencent Cloud. Compatible with QQ and WeCom ecosystems, it supports local PC operations and multi-model switching. It offers commercial services via token quota packages for both individual and team use. This article describes how to configure and use Tencent Cloud LLM Token Plan Enterprise within WorkBuddy.

Prerequisites

Before you start the configuration, ensure that you have completed the following preparations:

Steps

Install WorkBuddy by referring to the official WorkBuddy documentation based on your actual operating system, and then configure the Token Plan Enterprise Edition.

Step 1: Installing WorkBuddy

If you are using a Mac system, see the Mac System Installation Guide to install it.
If you are using a Windows system, see the Windows System Installation Guide to install it.

Step 2: Starting WorkBuddy and Configuring a Custom Model

Start WorkBuddy, locate the model switching entry at the bottom of the conversation interface, and click "+ Configure Custom Model".

Step 3: Selecting a Model Provider

On the Add Model page, select Custom/Custom.

Step 4: Configuring the API Endpoint, API Key, and Model Name

After configuring the following items, click confirm and wait for the configuration to take effect.
Configuration Item
Description
Endpoint
Guangzhou: https://tokenhub.tencentcloudmaas.com/plan/v3/chat/completions
Singapore: https://tokenhub-intl.tencentcloudmaas.com/plan/v3/chat/completions
API Key
Enter your dedicated API Key. For details, see Obtain the API Key.
Model Name
Enter the Model ID of the model available in your plan. For the model list, see Pro Plan available models and Lite Plan available models.
Note:
When the model name is configured, ensure that you enter the Model ID value from your plan.
Each model requires you to individually configure its interface address, API Key, and model name, and then save the configuration.

Step 5: Switching to a Custom Model Conversation

Return to the chat page, switch to the custom model configured in the previous steps, and you can start a conversation.


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