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LangBot/en/insight/guide.mdx
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Xiaoyu SuandJunyan Chin 310c566148 refactor: migration to mintlify
* 重构文档结构:移除 docs 目录,调整文件组织结构

* Reorder "插件 SDK API" section in docs.json

* Refactor and clarify various documentation sections

* Refine warnings and info boxes across multiple docs

* Refactor and simplify Japanese documentation content

* Update package.json to include mintlify as a dependency and add pnpm-lock.yaml for dependency management

* Update blog link and add description in docs.json

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Co-authored-by: Junyan Chin <[email protected]>
2026-02-21 23:55:53 +08:00

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---
title: "Welcome to LangBot Documentation"
---
LangBot is an open-source Large Language Model (LLM) native instant messaging bot platform that supports multiple messaging platforms and model providers. It provides support for LLMOps platforms such as Dify. It also offers a WebUI for users to quickly deploy and use.
## Documentation Structure
The documentation is divided into the following sections:
- Deployment and Usage (Must Read): Detailed steps for deploying and using LangBot
- Plugins: Information related to plugin usage and development
- Practice: Many excellent use cases for LangBot
- Development: Information related to participating in LangBot development
## Quick Start Guide
> Two ways to get started quickly:
>
> - Use the simplified tutorial from community resources (see left sidebar)
> - Read the documentation to deploy it yourself (method described below)
### 1. Deploy LangBot
Read the **Deploy LangBot** section on the left and choose a method to deploy LangBot
After deployment, open `http://127.0.0.1:5300` or `http://your-server-public-ip:5300`
Complete the initialization by entering an email and password, and make sure to save them
### 2. Configure Bots
Check [Configure Bots](/en/deploy/platforms/readme) in the left sidebar
### 3. Configure Models
Check [Configure Dialogue Models](/en/deploy/models/readme) in the left sidebar
<br />
After completing the above two steps, you can start using LangBot. If you need to configure more features, you can set them in the [Pipeline](/en/deploy/pipelines/readme) section