WorkBuddy

WorkBuddy is Tencent's AI coding assistant (same family as CodeBuddy). It supports connecting to any OpenAI-compatible API through a Custom (OpenAI-compatible) model, so you can point it at the LMU AI relay and use a single sk- key to call Claude, GPT, and Chinese models.

Before you start

• An LMU AI API key that starts with sk-: register and generate one in the LMU AI console.

• Note the LMU AI OpenAI-compatible address (Base URL), with /v1:

  https://api.lmuai.com/v1

• Make sure your key's group has the upstream for the model you want to use (available models depend on the group).

Method 1: Add a custom model in the UI (recommended)

1. Open WorkBuddy and go to the model settings: either via Settings → Model, or open the model picker in the chat box, scroll to the bottom, and choose Configure custom models.

2. Click Add Model and set the provider / type to Custom.

3. Fill in these three fields:

   Field	Value
   Endpoint / Base URL	https://api.lmuai.com/v1
   API Key	the sk- key generated in the console
   Model Name	an LMU AI model ID, e.g. gpt-5.6-sol or claude-sonnet-5

4. (Optional) Toggle Tool Call, Image input, etc. according to the model's capabilities.

5. Save, return to the model picker, select the model you just added, and start chatting.

Method 2: Edit models.json (precise, version-controllable)

WorkBuddy / CodeBuddy also stores custom models in a config file, which suits bulk or team-wide setup.

The config file lives in a .codebuddy folder in your home directory (some versions use .workbuddy — use whichever actually exists on your machine):

• Windows (user level): C:\Users\<your-username>\.codebuddy\models.json
• macOS / Linux (user level): ~/.codebuddy/models.json
• Project level: <your-project-dir>\.codebuddy\models.json

On first use, install, sign in, and open any project once so the config directory is created. Example (replace apiKey with your own sk- key):

{
  "models": [
    {
      "id": "gpt-5.6-sol",
      "name": "LMU AI GPT-5.6 Sol",
      "vendor": "LMU AI",
      "url": "https://api.lmuai.com/v1/chat/completions",
      "apiKey": "sk-your-key",
      "maxInputTokens": 128000,
      "maxOutputTokens": 8192,
      "supportsToolCall": true,
      "supportsImages": false
    },
    {
      "id": "claude-sonnet-5",
      "name": "LMU AI Claude Sonnet 5",
      "vendor": "LMU AI",
      "url": "https://api.lmuai.com/v1/chat/completions",
      "apiKey": "sk-your-key",
      "maxInputTokens": 128000,
      "maxOutputTokens": 8192,
      "supportsToolCall": true,
      "supportsImages": false
    }
  ],
  "availableModels": ["gpt-5.6-sol", "claude-sonnet-5"]
}

Notes:

• Here url must be the full path https://api.lmuai.com/v1/chat/completions (unlike Method 1, it does include /chat/completions).
• maxInputTokens, maxOutputTokens, supportsToolCall, and supportsImages are client-side declared values — adjust them to the actual capabilities of the model you chose.
• Save the file as UTF-8 without BOM; a BOM may cause it to fail to load.
• You can also set the key as an environment variable and reference it, e.g. "apiKey": "${LMU_API_KEY}" (setx LMU_API_KEY "sk-..." on Windows, export LMU_API_KEY=sk-... on macOS / Linux).
• After editing, fully quit and restart WorkBuddy, then select the model in the picker.

Available models

Common model IDs (the ones you can actually use depend on your group; see the full list on Models):

• GPT: gpt-5.6-sol, gpt-5.6-terra, gpt-5.6-luna, gpt-5.5
• Claude: claude-opus-5, claude-sonnet-5, claude-haiku-4-5
• Chinese: deepseek-v4-pro, qwen3.8-max-preview, glm-5.2, kimi-k3

WorkBuddy uses the OpenAI-compatible protocol, and the LMU AI backend performs protocol conversion automatically, so Claude / Chinese model IDs work too — provided your group has the matching upstream.

FAQ

401 / 403 error

Check in order:

1. Whether the API Key is an sk- key generated in the LMU AI console (not an official OpenAI / Anthropic key).
2. Whether the endpoint is correct: https://api.lmuai.com/v1 (with /v1).
3. Whether your key's group includes the model you are calling.

404 / Not Found

Usually the endpoint has /chat/completions written twice, or is missing /v1:

• Method 1 (UI): stop the endpoint at https://api.lmuai.com/v1; WorkBuddy appends /chat/completions.
• Method 2 (models.json): set url to the full https://api.lmuai.com/v1/chat/completions.

"Model unavailable" / "No available accounts"

You called a model outside your group's range (for example, using a Claude Max group to call GPT). Check the models your current group can call under "Available models" in the console, or switch groups. See API protocols.

Changes have no effect

After editing models.json, fully quit and restart WorkBuddy; save the file as UTF-8 without BOM. For a model added through the UI, just reselect it in the model picker after saving.

Notes

• Enter only the LMU AI relay address as the endpoint; do not enter the official OpenAI / Anthropic address.
• The same sk- key can be used with other tools at the same time; WorkBuddy uses the OpenAI-compatible protocol.
• The LMU AI API domain connects directly in China, with no proxy needed.

For more, see API protocols and the FAQ.

Last updated: 2026-08-26