VS Code + Copilot Chat

Copy the configuration and replace sk-... with your key from the Ailoot Dashboard. Prefer storing the key in the environment variable AILOOT_API_KEY, if the application supports it.

Before starting, request GET /v1/models with your Ailoot key. Choose an exact model ID whose methods include POST /v1/chat/completions, POST /v1/responses, POST /v1/messages, then use that ID in the configuration. For agents, also check tool support and the features required by your client version.

[
  {
    "name": "Ailoot",
    "vendor": "customendpoint",
    "apiKey": "${input:ailootApiKey}",
    "apiType": "chat-completions",
    "models": [
      {
        "id": "gpt-6.1-sol",
        "name": "GPT-6.1 Sol (Ailoot)",
        "url": "https://api.ailoot.ai/v1/chat/completions",
        "toolCalling": true,
        "vision": false,
        "maxInputTokens": 200000,
        "maxOutputTokens": 32000
      }
    ]
  },
  {
    "name": "Ailoot Claude",
    "vendor": "customendpoint",
    "apiKey": "${input:ailootApiKey}",
    "apiType": "messages",
    "models": [
      {
        "id": "claude-sonnet-5-5",
        "name": "Claude Sonnet 5.5 (Ailoot)",
        "url": "https://api.ailoot.ai/v1/messages",
        "toolCalling": true,
        "vision": false,
        "maxInputTokens": 200000,
        "maxOutputTokens": 32000
      }
    ]
  }
]

Example model: gpt-6.1-sol. Choose any other model from the catalog — check that it supports the format you need.

• For the OpenAI format, the URL is https://api.ailoot.ai/v1 (or the full path if the application asks for a full URL).
• For the Anthropic format, the URL is https://api.ailoot.ai with the full endpoint path, including /v1.
• Ask a short question. If you get an error, check the code and Request ID, then consult Errors and limits.
• 404 immediately after setup almost always means the URL is wrong: an extra or missing /v1.
• 402 — insufficient balance for the reserve. Agents reserve more than chat: why.

Application documentation: https://code.visualstudio.com/docs/agent-customization/language-models