Tabbit
ResourcesBlogModels
Tabbit LogoTabbit

Tabbit — The AI Browser that Works for You

Topics

  • Best Browsers 2026: Rankings and Top Lists
  • AI Browser Guides and Resources
  • Browser Comparisons: Head-to-Head Guides
  • Browser Reviews and Explainers
  • Browser Alternatives
  • Browser Directory: Guides by Browser
  • Agentic Browser Resources
  • Browser Downloads and Install Guides
  • Browser Productivity Resources
  • SillyTavern Model Guides and Presets

Popular Guides

  • Best Browsers 2026: Top 10 Ranked & Compared
  • Best Free AI Browsers 2026: Plans & Prices Compared
  • Rabbit Browser: What It Is & Why Tabbit Is Better
  • Firefox vs Chrome 2026: Privacy, RAM & Speed Compared
  • Best Lightweight Browsers 2026: 7 Tested for RAM & Speed
  • AI Browser List 2026: 10 Browsers Compared
  • Neobrowser: Norton Neo, Download & Alternatives
  • Edge vs Chrome 2026: Speed, RAM & Battery Tested
  • Best Internet Browser for Android 2026
  • Best AI Browser 2026: Top 9 Tested & Ranked

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
Prompt guide
OfficialLongCat 2.5

Configure LongCat-2.5 in Codex

Original source

LongCat API Docs

AuthorLongCat

Tabbit curation2026-11-03

Read original

One-sentence takeaway

LongCat officially provides a configuration for using LongCat-2.5 in Codex through the Responses API. The example uses the high reasoning level.

Use cases

  • Suitable tasks: Coding tasks using Codex in the terminal with LongCat-2.5.

  • Unsuitable tasks: Inferring the model's performance or cost on specific tasks from the configuration.

  • Applicable model version: LongCat-2.5.

  • Applicable client, agent, or API: Codex CLI; LongCat's OpenAI-format API.

  • Recommended reasoning level and parameters: The official example sets model_reasoning_effort = "high", disables web search and response storage, and enables reasoning summary support.

Ready-to-use content

Edit ~/.codex/config.toml. The official example is:

model_provider = "codex"
model = "LongCat-2.5"
disable_response_storage = true
web_search = "disabled"
model_reasoning_effort = "high"
model_supports_reasoning_summaries = true

[model_providers.codex]
name = "codex"
base_url = "https://api.longcat.chat/openai/v1"
wire_api = "responses"
requires_openai_auth = true

Edit ~/.codex/auth.json and replace the placeholder with your own LongCat API key:

{
  "OPENAI_API_KEY": "<Your LongCat API Key>"
}

Test or workflow steps

  1. Install Node.js 18.0 or later, run npm install -g @openai/codex, then check the installation with codex --version.

  2. Get an API key from the LongCat platform and confirm on the usage page that you have sufficient quota.

  3. Configure the model and authentication as shown above. Store the key securely; do not commit it to a version control repository.

  4. Open a new terminal window and run codex. The official documentation uses the conversation interface opening normally as the startup check.

Raw evidence and data

  • The model table in the source lists LongCat-2.5 and OpenAI / Anthropic as interface formats.

  • The Codex configuration specifies wire_api = "responses" and LongCat's OpenAI-compatible base URL.

  • The page provides no specific coding task, output, performance data, or Codex version number.

Scope and limitations

This is an official integration configuration, not a complete prompt or an independent performance test. The page does not describe the effects of other reasoning levels or verify compatibility across all Codex versions. Actual availability depends on the current client, account quota, and service status.

Reproduction notes

Install and configure as described in the source, then run codex in a new terminal. This article preserves the official configuration fields; the authentication value is a placeholder. The model was not called with a real key, and the conversation result was not verified during collection.

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

Related prompts

OfficialLongCat API Docs

Configure LongCat-2.5 in Claude Code

OfficialLongCat API Docs

Configure LongCat-2.5 in OpenCode

OfficialLongCat API Docs

Configure LongCat-2.5 in Hermes Agent

OfficialLongCat API Docs

Configure LongCat-2.5 in Cline

LongCat 2.5

Related reviews

OfficialLongCat official blog2026-11-01

LongCat’s Official Release and Benchmarks: Long-Horizon Agents, Coding, and Vision Tasks

CommunityReddit, r/opencode2026-09-30

A Reddit User Tests LongCat 2.5 Preview on C# Code Analysis

CommunityReddit, r/opencode2026-10-06

Reddit: LongCat 2.5 Preview Compared with Two Other Models on TB 2.1

MediaDEV Community2026-09-28

DEV: Real-Project Experience with LongCat 2.5 Preview and Space Bunny Alpha