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Prompt guide
OfficialLongCat 2.5

Configure LongCat-2.5 in CatPaw

Original source

LongCat API Docs

AuthorLongCat (official documentation)

Tabbit curation2026-11-03

Read original

One-sentence takeaway

In CatPaw's model settings, select the LongCat provider, enter an API Key, and choose LongCat-2.5 to add the model and verify it through a conversation.

Use cases

  • Suitable tasks: Configuring LongCat-2.5 in CatPaw and chatting with it.

  • Unsuitable tasks: Evaluating model quality or performance, or finding configuration instructions for other clients.

  • Applicable model version: LongCat-2.5.

  • Applicable client, agent, or API: CatPaw; the LongCat platform provides OpenAI and Anthropic API formats.

  • Recommended reasoning tier and parameters: Not specified.

Ready-to-use content

In CatPaw, go to “Settings → Models → + Add Model” and enter:

FieldConfiguration
ProviderLongCat
API KeyYour LongCat API Key
ModelLongCat-2.5

Test or workflow steps

  1. Get an API Key from the LongCat platform, then check the Usage page to confirm that the account has enough token quota.

  2. Download and install the version for your system from the CatPaw download page.

  3. Open CatPaw, go to “Settings → Models,” click “+ Add Model,” configure the fields as shown above, and save.

  4. In the model selector at the bottom-right of the chat input, select LongCat-2.5 under Custom Models and send a test message. If the model replies, the configuration is successful.

Original evidence and data

  • The model table in the official documentation explicitly lists LongCat-2.5 and specifies OpenAI/Anthropic API formats.

  • The official verification example is to send “Hello, please introduce yourself” and check whether a LongCat model reply is received.

  • The desktop requirements listed in the documentation are macOS 13+ (Apple M-series or Intel), or Windows 10+ (64-bit Intel/AMD).

Applicability boundaries

  • The source says Windows on ARM is not currently supported; system support may change, so refer to the source.

  • The source does not provide reasoning parameters, performance tests, or specific reply content. Receiving a reply verifies only the connection; it does not mean the model meets the quality bar for a task.

  • Enter your API Key in the client yourself; do not put a real key in a shared document.

Reproduction notes

Prepare a valid LongCat API Key and sufficient quota as described in the source, install CatPaw, configure the fields above, and send a test message. This article is based on the official documentation; the connection was not tested with an actual account and API Key.

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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