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Prompt guide
OfficialLongCat 2.5

Configure LongCat-2.5 in WorkBuddy

Original source

LongCat API Docs

AuthorNot specified

Tabbit curation2026-11-03

Read original

One-sentence takeaway

LongCat's official documentation provides two ways to configure LongCat-2.5 in WorkBuddy through an OpenAI-compatible API: the UI and a configuration file.

Use cases

  • Suitable tasks: Using LongCat-2.5 in WorkBuddy for conversation, coding, and other agent tasks.

  • Unsuitable tasks: Assessing model quality, speed, or cost; the source provides no evaluation data.

  • Applicable model version: LongCat-2.5.

  • Applicable client, agent, or API: WorkBuddy on Windows or macOS; OpenAI-compatible API.

  • Recommended reasoning tier and parameters: Not specified; the configuration example enables supportsReasoning and supportsToolCall.

Ready-to-use content

When adding a custom model in WorkBuddy, enter:

FieldValue
ProviderCustom or OpenAI-compatible
API URLhttps://api.longcat.chat/openai/v1/chat/completions
API KEYYour LongCat API Key
Model NameLongCat-2.5

You can also use the following models.json, replacing the placeholder with your own key:

{
  "models": [
    {
      "id": "LongCat-2.5",
      "name": "LongCat-2.5",
      "vendor": "LongCat",
      "url": "https://api.longcat.chat/openai/v1/chat/completions",
      "apiKey": "YOUR_LONGCAT_API_KEY",
      "supportsToolCall": true,
      "supportsReasoning": true
    }
  ]
}

Test or workflow steps

  1. Get an API Key from the LongCat platform, make sure the account has sufficient token quota, and install WorkBuddy.

  2. In the model switcher for a new task, select Configure Custom Model. On the Add Model page, enter the fields above and save; or create or edit the user-level models.json, add the configuration above, and restart WorkBuddy.

  3. Turn off Auto mode, select LongCat-2.5 from the model list, and start using it.

Original evidence and data

  • The documentation lists LongCat-2.5 as supporting OpenAI and Anthropic API formats, and uses an OpenAI-compatible API in its WorkBuddy example.

  • Configuration file locations: on macOS, ~/.workbuddy/models.json; on Windows, <User Home>\.workbuddy\models.json. The project-level file is <project root>/.workbuddy/models.json and takes precedence over the user-level configuration.

  • The source provides no quality, latency, or benchmark data.

Scope and limitations

  • This is official setup documentation, not a hands-on validation; no API call was made for this article.

  • The configuration file contains a key. Store it securely and do not commit a real key.

  • The documentation does not specify the WorkBuddy version or reasoning parameters; the UI and service configuration may change between versions.

Reproduction notes

If the model does not appear in the list, check the JSON syntax, UTF-8 encoding without a BOM, and file path, then fully restart WorkBuddy. For a 401 error, check that the LongCat API Key and URL are correct; for a 404 error, check the model ID and full API URL.

Curated by Tabbit

Prompt material is summarized from public sources and Tabbit editorial notes. Check the original licensing and intended use before copying it.

LongCat 2.5

Use in Tabbit

LongCat 2.5

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