Tabbit
ResourcesBlogModels
Tabbit LogoTabbit

Tabbit — The AI Browser that Works for You

Topics

  • AI Browser Resources
  • Agentic Browser Resources
  • Browser Downloads and Install Guides
  • Browser Comparisons
  • AI Browser Alternatives
  • Browser Productivity Resources

Popular Guides

  • AI Browser
  • Agentic Browser Download
  • Best AI Browser 2026: Top 9 Tested & Ranked
  • AI Browser Download
  • Free AI Browser
  • Best AI Browser 2026
  • AI Browser Comparison 2026
  • AI Browser for Windows
  • AI Browser for Mac
  • Chrome Alternative 2026

Events

  • Tabbit Skill Competition
  • KPOP SBTI Fandom Personality Test
  • Tabbit Campus Creator Program
  • fifi's Picks: AI Skills for Research Papers
  • User Survey

About

  • Tabbit Blog
  • Press & Media
English
简体中文English
Prompts and workflows

LongCat 2.0 · workflow

OpenClaw Integration with LongCat-2.0 (Official Documentation)

The official LongCat guide “OpenClaw Integration with LongCat-2.0 (Official Documentation)” configures a named client and keeps the first run observable and reversible.

Source not verifiedLongCat-compatible client, endpoint, model ID, and an isolated test workspace.

Prerequisites and inputs

  • Task goal and source material
  • Client or API
  • Output format and acceptance checks

One-sentence takeaway

Registering a custom provider in OpenClaw's ~/.openclaw/openclaw.json lets you switch the default model to LongCat-2.0; the context-window and maximum-output settings given by the official source (1048576 / 131072) can be copied directly.

Use cases

  • Suitable tasks: Use LongCat-2.0 in the OpenClaw multi-Agent framework; set LongCat as the default model for everyday Agent tasks

  • Unsuitable tasks: Scenarios without an OpenClaw environment (the configuration applies only to this framework)

  • Applicable model version: LongCat-2.0

  • Applicable clients, Agents, or APIs: OpenClaw (installed with npm/pnpm/curl, on macOS/Windows; Web console at http://127.0.0.1:18789)

  • Recommended reasoning tier and parameters: The official example sets "reasoning": false (disables the reasoning flag in the OpenClaw model); contextWindow: 1048576 (1M), maxTokens: 131072 (128K); use max_tokens for the billing field

Ready-to-use content

1. Install OpenClaw

# macOS
npm install -g openclaw@latest
# or pnpm add -g openclaw@latest
# or curl -fsSL https://openclaw.ai/install.sh | bash
# Windows PowerShell: iwr -useb https://openclaw.ai/install.ps1 | iex

2. First-run onboarding

openclaw onboard --install-daemon

Official onboarding recommendations: choose QuickStart for Onboarding Mode; choose Skip for now for Model/Auth Provider; leave Default model unchanged; if no suitable Channel is available, choose Skip for now and configure it later; choose Install/Reinstall for Gateway Service. After completion, the default Web console address is http://127.0.0.1:18789, and the configuration file is at ~/.openclaw/openclaw.json.

3. Register the LongCat provider (openclaw.json)

{
   "models": {
      "mode": "merge",
      "providers": {
         "longCat": {
            "baseUrl": "https://api.longcat.chat/openai/v1",
            "apiKey": "YOUR_API_KEY",
            "api": "openai-completions",
            "authHeader": true,
            "models": [
               {
                  "id": "LongCat-2.0",
                  "name": "LongCat-2.0",
                  "reasoning": false,
                  "input": ["text"],
                  "contextWindow": 1048576,
                  "maxTokens": 131072,
                  "compat": {
                     "maxTokensField": "max_tokens"
                  }
               }
            ]
         }
      }
   }
}

4. Set it as the default model

{
   "agents": {
      "defaults": {
         "model": {
            "primary": "longCat/LongCat-2.0"
         }
      }
   }
}

The change takes effect immediately after saving. You can also use the GUI: Web console → Config → Models → Providers, choose openai-completions for Api, and enter the API key and baseUrl.

Raw data and verification notes

  • All configuration items were transcribed verbatim from the official documentation (collected on 2026-08-18).

  • The official model card lists OpenClaw as one of the three major Harnesses deeply adapted for LongCat-2.0 (alongside Claude Code and Hermes); the README explicitly says it is "deeply integrated with mainstream harnesses such as Claude Code, OpenClaw, and Hermes."

  • The same official documentation directory also has integration pages for OpenCode, Codex, ZCode, Cline, Kilo Code, Cherry Studio, CodeBuddy, WorkBuddy, CC Switch, and other tools. The configuration pattern is the same (an OpenAI-compatible endpoint plus a model ID).

Scope and limitations

  • "reasoning": false declares on the OpenClaw side whether the model outputs a reasoning field; it does not disable LongCat's thinking mode. LongCat's thinking mode is controlled by the thinking field in the request body (see the official API reference).

  • The official documentation's contextWindow: 1048576 is a provider declaration; whether a stable 1M context can actually be used depends on the task and deployment channel (the OpenRouter channel likewise labels it as 1M context).

Source and dates

LongCat official API documentation site (longcat.chat) · Source date: 2026-06-30 · Edited: 2026-09-20

Read the original source
Variable checklist

No required variables

Related prompts

LongCat-2.0 API Platform Quick Start (Official Quick Start + Chat Completions Reference + Pricing)LongCat-2.0 Chat Template and Tool-Calling Configuration (Official Hugging Face Model Card)Claude Code Integration with LongCat-2.0 (Official Documentation)Hermes Agent Integration with LongCat-2.0 (Official Documentation + Nous Portal Free Entry)

Related reviews

LongCat-2.0 Official Model Card: Specifications and Official Benchmarks (Including Comparison Tables with Gemini/GPT-5.5/Claude Opus)LongCat-2.0 Official Technical Blog: Architecture, Training on Domestic Compute, and Inference Deployment (Release Notes)eesel Independent Review: LongCat-2.0's Agent Reliability and Hard Blockers to Production DeploymentOpenRouter Channel Data: LongCat-2.0 Pricing, Measured Performance, and Third-Party Benchmarks (Artificial Analysis)

Read the full analysis

Overview · English

LongCat 2.0: what changed, where to use it, and what the price misses

LongCat 2.0 combines 1M context, open weights, and low provider pricing with real questions about tooling, data terms, and operational cost.

LongCat 2.0

Use LongCat 2.0 in Tabbit

Run this guide in the environment listed above. Downloading does not transfer the template or establish model availability for your account.