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CodeBuddy

Connect to aicentos' OpenAI-compatible endpoint in CodeBuddy (IDE / CLI) through models.json

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CodeBuddy supports custom models: through a user-level or project-level models.json you can point requests at aicentos' OpenAI-compatible endpoint. The IDE and the CodeBuddy Code CLI share the same configuration.

Prerequisites

First create a dedicated key for CodeBuddy on the console's "API Keys" page (naming it codebuddy is recommended).

Configuration to fill in

FieldValue
Base URLhttps://aicentos.com/v1
Endpoint URL (url field)https://aicentos.com/v1/chat/completions
API Key (apiKey)The key created in the console
Model ID (id)A model name from the Model Gallery in the console
supportsToolCalltrue
maxInputTokens / maxOutputTokensSet according to the chosen model

Note: the url field in models.json requires the full endpoint path and must end with /chat/completions.

Setup steps

  • Open CodeBuddy once so it generates the configuration directory.
  • Create or edit the user-level configuration file:
    • macOS / Linux: ~/.codebuddy/models.json
    • Windows: C:\Users\<username>\.codebuddy\models.json
    • If it should only apply to a single project, use the project-level <project root>/.codebuddy/models.json instead, which takes precedence over the user-level file.
  • Write the following, replacing id with a model name you have confirmed works in the console:
{
  "models": [
    {
      "id": "gpt-5",
      "name": "GPT-5 (aicentos)",
      "vendor": "aicentos",
      "apiKey": "${AICENTOS_API_KEY}",
      "url": "https://aicentos.com/v1/chat/completions",
      "maxInputTokens": 128000,
      "maxOutputTokens": 16384,
      "supportsToolCall": true,
      "supportsImages": false,
      "supportsReasoning": false
    }
  ]
}
  • Set the environment variable (both apiKey and url support ${VAR_NAME} references):
export AICENTOS_API_KEY="sk-your-aicentos-key"
  • Quit CodeBuddy completely and reopen it (restarting the IDE panel is enough).
  • Select the newly configured model in the model picker.

If you would rather not edit files, click the model picker below the chat panel in the CodeBuddy IDE → Configure custom model → choose Custom as the provider, then fill in the Base URL https://aicentos.com/v1, the API Key and the model name.

Test

After saving, start a new conversation or coding task and run a lightweight test with a simple prompt first; only start real use once responses come back normally.

Notes

  • Only APIs in OpenAI interface format are currently supported.
  • url must be written as the full /v1/chat/completions path; https://aicentos.com/v1 will not work.
  • The outermost structure must be {"models": [...]}; models is a required top-level field.
  • availableModels is a whitelist: once set, the model dropdown only shows the listed models and built-in models disappear as well. Omit the field if you do not need the restriction.
  • Save the file as UTF-8 without BOM; JSON with a BOM breaks reading of the local model configuration.
  • Environment variables are resolved at startup; if a variable does not exist, ${AICENTOS_API_KEY} in the configuration file is kept literally and calls fail.
  • Set models.json permissions to 600 and do not commit it to version control.
  • The CLI can also be configured with environment variables: CODEBUDDY_API_KEY, CODEBUDDY_BASE_URL, CODEBUDDY_MODEL. When setting CODEBUDDY_BASE_URL directly, do not include /chat/completions — the CLI appends it itself.
  • See the docs site for more details: https://docs.aicentos.com