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@@ -1,13 +1,15 @@
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<p align="center">
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<a href="https://langbot.app">
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<img src="https://docs.langbot.app/social_zh.png" alt="LangBot"/>
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<img width="130" src="https://docs.langbot.app/langbot-logo.png" alt="LangBot"/>
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</a>
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<div align="center">
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<a href="https://hellogithub.com/repository/langbot-app/LangBot" target="_blank"><img src="https://abroad.hellogithub.com/v1/widgets/recommend.svg?rid=5ce8ae2aa4f74316bf393b57b952433c&claim_uid=gtmc6YWjMZkT21R" alt="Featured｜HelloGitHub" style="width: 250px; height: 54px;" width="250" height="54" /></a>
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<h3>使用 LangBot 快速构建、调试、部署即时通信机器人。</h3>
|
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|
||||
[English](README_EN.md) / 简体中文 / [繁體中文](README_TW.md) / [日本語](README_JP.md) / [Español](README_ES.md) / [Français](README_FR.md) / [한국어](README_KO.md) / [Русский](README_RU.md) / [Tiếng Việt](README_VI.md)
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[](https://discord.gg/wdNEHETs87)
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@@ -22,12 +24,10 @@
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<a href="https://docs.langbot.app/zh/plugin/plugin-intro.html">插件介绍</a> ｜
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<a href="https://github.com/langbot-app/LangBot/issues/new?assignees=&labels=%E7%8B%AC%E7%AB%8B%E6%8F%92%E4%BB%B6&projects=&template=submit-plugin.yml&title=%5BPlugin%5D%3A+%E8%AF%B7%E6%B1%82%E7%99%BB%E8%AE%B0%E6%96%B0%E6%8F%92%E4%BB%B6">提交插件</a>
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</div>
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</p>
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LangBot 是一个开源的大语言模型原生即时通信机器人开发平台，旨在提供开箱即用的 IM 机器人开发体验，具有 Agent、RAG、MCP 等多种 LLM 应用功能，适配全球主流即时通信平台，并提供丰富的 API 接口，支持自定义开发。
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## 📦 开始使用
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@@ -83,6 +83,9 @@ docker compose up -d
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## ✨ 特性
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<img width="500" src="https://docs.langbot.app/ui/bot-page-zh-rounded.png" />
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|
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- 💬 大模型对话、Agent：支持多种大模型，适配群聊和私聊；具有多轮对话、工具调用、多模态、流式输出能力，自带 RAG（知识库）实现，并深度适配 [Dify](https://dify.ai)、[Coze](https://coze.com)、[n8n](https://n8n.io)等 LLMOps 平台。
|
||||
- 🤖 多平台支持：目前支持 QQ、QQ频道、企业微信、个人微信、飞书、Discord、Telegram、KOOK、Slack、LINE 等平台。
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- 🛠️ 高稳定性、功能完备：原生支持访问控制、限速、敏感词过滤等机制；配置简单，支持多种部署方式。支持多流水线配置，不同机器人用于不同应用场景。
|
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@@ -1,12 +1,14 @@
|
||||
<p align="center">
|
||||
<a href="https://langbot.app">
|
||||
<img src="https://docs.langbot.app/social_en.png" alt="LangBot"/>
|
||||
<img width="130" src="https://docs.langbot.app/langbot-logo.png" alt="LangBot"/>
|
||||
</a>
|
||||
|
||||
<div align="center">
|
||||
|
||||
<a href="https://www.producthunt.com/products/langbot?utm_source=badge-follow&utm_medium=badge&utm_source=badge-langbot" target="_blank"><img src="https://api.producthunt.com/widgets/embed-image/v1/follow.svg?product_id=1077185&theme=light" alt="LangBot - Production-grade IM bot made easy. | Product Hunt" style="width: 250px; height: 54px;" width="250" height="54" /></a>
|
||||
|
||||
<h3>Quickly build, debug, and ship IM bots with LangBot.</h3>
|
||||
|
||||
English / [简体中文](README.md) / [繁體中文](README_TW.md) / [日本語](README_JP.md) / [Español](README_ES.md) / [Français](README_FR.md) / [한국어](README_KO.md) / [Русский](README_RU.md) / [Tiếng Việt](README_VI.md)
|
||||
|
||||
[](https://discord.gg/wdNEHETs87)
|
||||
@@ -23,7 +25,6 @@ English / [简体中文](README.md) / [繁體中文](README_TW.md) / [日本語]
|
||||
|
||||
</p>
|
||||
|
||||
LangBot is an open-source LLM native instant messaging robot development platform, aiming to provide out-of-the-box IM robot development experience, with Agent, RAG, MCP and other LLM application functions, adapting to global instant messaging platforms, and providing rich API interfaces, supporting custom development.
|
||||
|
||||
## 📦 Getting Started
|
||||
|
||||
@@ -79,6 +80,9 @@ Click the Star and Watch button in the upper right corner of the repository to g
|
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|
||||
## ✨ Features
|
||||
|
||||
<img width="500" src="https://docs.langbot.app/ui/bot-page-en-rounded.png" />
|
||||
|
||||
|
||||
- 💬 Chat with LLM / Agent: Supports multiple LLMs, adapt to group chats and private chats; Supports multi-round conversations, tool calls, multi-modal, and streaming output capabilities. Built-in RAG (knowledge base) implementation, and deeply integrates with [Dify](https://dify.ai), [Coze](https://coze.com), [n8n](https://n8n.io) etc. LLMOps platforms.
|
||||
- 🤖 Multi-platform Support: Currently supports QQ, QQ Channel, WeCom, personal WeChat, Lark, DingTalk, Discord, Telegram, KOOK, Slack, LINE, etc.
|
||||
- 🛠️ High Stability, Feature-rich: Native access control, rate limiting, sensitive word filtering, etc. mechanisms; Easy to use, supports multiple deployment methods. Supports multiple pipeline configurations, different bots can be used for different scenarios.
|
||||
|
||||
@@ -1,12 +1,14 @@
|
||||
<p align="center">
|
||||
<a href="https://langbot.app">
|
||||
<img src="https://docs.langbot.app/social_en.png" alt="LangBot"/>
|
||||
<img width="130" src="https://docs.langbot.app/langbot-logo.png" alt="LangBot"/>
|
||||
</a>
|
||||
|
||||
<div align="center">
|
||||
|
||||
<a href="https://www.producthunt.com/products/langbot?utm_source=badge-follow&utm_medium=badge&utm_source=badge-langbot" target="_blank"><img src="https://api.producthunt.com/widgets/embed-image/v1/follow.svg?product_id=1077185&theme=light" alt="LangBot - Production-grade IM bot made easy. | Product Hunt" style="width: 250px; height: 54px;" width="250" height="54" /></a>
|
||||
|
||||
<h3>Cree, depure y despliegue bots de mensajería instantánea rápidamente con LangBot.</h3>
|
||||
|
||||
[English](README_EN.md) / [简体中文](README.md) / [繁體中文](README_TW.md) / [日本語](README_JP.md) / Español / [Français](README_FR.md) / [한국어](README_KO.md) / [Русский](README_RU.md) / [Tiếng Việt](README_VI.md)
|
||||
|
||||
[](https://discord.gg/wdNEHETs87)
|
||||
@@ -23,7 +25,6 @@
|
||||
|
||||
</p>
|
||||
|
||||
LangBot es una plataforma de desarrollo de robots de mensajería instantánea nativa de LLM de código abierto, con el objetivo de proporcionar una experiencia de desarrollo de robots de mensajería instantánea lista para usar, con funciones de aplicación LLM como Agent, RAG, MCP, adaptándose a plataformas de mensajería instantánea globales y proporcionando interfaces API ricas, compatible con desarrollo personalizado.
|
||||
|
||||
## 📦 Comenzar
|
||||
|
||||
@@ -79,6 +80,9 @@ Haga clic en los botones Star y Watch en la esquina superior derecha del reposit
|
||||
|
||||
## ✨ Características
|
||||
|
||||
<img width="500" src="https://docs.langbot.app/ui/bot-page-en-rounded.png" />
|
||||
|
||||
|
||||
- 💬 Chat con LLM / Agent: Compatible con múltiples LLMs, adaptado para chats grupales y privados; Admite conversaciones de múltiples rondas, llamadas a herramientas, capacidades multimodales y de salida en streaming. Implementación RAG (base de conocimientos) incorporada, e integración profunda con [Dify](https://dify.ai), [Coze](https://coze.com), [n8n](https://n8n.io) etc. LLMOps platforms.
|
||||
- 🤖 Soporte Multiplataforma: Actualmente compatible con QQ, QQ Channel, WeCom, WeChat personal, Lark, DingTalk, Discord, Telegram, KOOK, Slack, LINE, etc.
|
||||
- 🛠️ Alta Estabilidad, Rico en Funciones: Control de acceso nativo, limitación de velocidad, filtrado de palabras sensibles, etc.; Fácil de usar, admite múltiples métodos de despliegue. Compatible con múltiples configuraciones de pipeline, diferentes bots para diferentes escenarios.
|
||||
|
||||
@@ -1,12 +1,14 @@
|
||||
<p align="center">
|
||||
<a href="https://langbot.app">
|
||||
<img src="https://docs.langbot.app/social_en.png" alt="LangBot"/>
|
||||
<img width="130" src="https://docs.langbot.app/langbot-logo.png" alt="LangBot"/>
|
||||
</a>
|
||||
|
||||
<div align="center">
|
||||
|
||||
<a href="https://www.producthunt.com/products/langbot?utm_source=badge-follow&utm_medium=badge&utm_source=badge-langbot" target="_blank"><img src="https://api.producthunt.com/widgets/embed-image/v1/follow.svg?product_id=1077185&theme=light" alt="LangBot - Production-grade IM bot made easy. | Product Hunt" style="width: 250px; height: 54px;" width="250" height="54" /></a>
|
||||
|
||||
<h3>Créez, déboguez et déployez rapidement des bots de messagerie instantanée avec LangBot.</h3>
|
||||
|
||||
[English](README_EN.md) / [简体中文](README.md) / [繁體中文](README_TW.md) / [日本語](README_JP.md) / [Español](README_ES.md) / Français / [한국어](README_KO.md) / [Русский](README_RU.md) / [Tiếng Việt](README_VI.md)
|
||||
|
||||
[](https://discord.gg/wdNEHETs87)
|
||||
@@ -23,8 +25,6 @@
|
||||
|
||||
</p>
|
||||
|
||||
LangBot est une plateforme de développement de robots de messagerie instantanée native LLM open source, visant à fournir une expérience de développement de robots de messagerie instantanée prête à l'emploi, avec des fonctionnalités d'application LLM telles qu'Agent, RAG, MCP, s'adaptant aux plateformes de messagerie instantanée mondiales et fournissant des interfaces API riches, prenant en charge le développement personnalisé.
|
||||
|
||||
## 📦 Commencer
|
||||
|
||||
#### Démarrage Rapide
|
||||
@@ -79,6 +79,9 @@ Cliquez sur les boutons Star et Watch dans le coin supérieur droit du dépôt p
|
||||
|
||||
## ✨ Fonctionnalités
|
||||
|
||||
<img width="500" src="https://docs.langbot.app/ui/bot-page-en-rounded.png" />
|
||||
|
||||
|
||||
- 💬 Chat avec LLM / Agent : Prend en charge plusieurs LLM, adapté aux chats de groupe et privés ; Prend en charge les conversations multi-tours, les appels d'outils, les capacités multimodales et de sortie en streaming. Implémentation RAG (base de connaissances) intégrée, et intégration profonde avec [Dify](https://dify.ai), [Coze](https://coze.com), [n8n](https://n8n.io) etc. LLMOps platforms.
|
||||
- 🤖 Support Multi-plateforme : Actuellement compatible avec QQ, QQ Channel, WeCom, WeChat personnel, Lark, DingTalk, Discord, Telegram, KOOK, Slack, LINE, etc.
|
||||
- 🛠️ Haute Stabilité, Riche en Fonctionnalités : Contrôle d'accès natif, limitation de débit, filtrage de mots sensibles, etc. ; Facile à utiliser, prend en charge plusieurs méthodes de déploiement. Prend en charge plusieurs configurations de pipeline, différents bots pour différents scénarios.
|
||||
|
||||
@@ -1,12 +1,14 @@
|
||||
<p align="center">
|
||||
<a href="https://langbot.app">
|
||||
<img src="https://docs.langbot.app/social_en.png" alt="LangBot"/>
|
||||
<img width="130" src="https://docs.langbot.app/langbot-logo.png" alt="LangBot"/>
|
||||
</a>
|
||||
|
||||
<div align="center">
|
||||
|
||||
<a href="https://www.producthunt.com/products/langbot?utm_source=badge-follow&utm_medium=badge&utm_source=badge-langbot" target="_blank"><img src="https://api.producthunt.com/widgets/embed-image/v1/follow.svg?product_id=1077185&theme=light" alt="LangBot - Production-grade IM bot made easy. | Product Hunt" style="width: 250px; height: 54px;" width="250" height="54" /></a>
|
||||
|
||||
<h3>LangBotでIMボットを素早く構築、デバッグ、デプロイ。</h3>
|
||||
|
||||
[English](README_EN.md) / [简体中文](README.md) / [繁體中文](README_TW.md) / 日本語 / [Español](README_ES.md) / [Français](README_FR.md) / [한국어](README_KO.md) / [Русский](README_RU.md) / [Tiếng Việt](README_VI.md)
|
||||
|
||||
[](https://discord.gg/wdNEHETs87)
|
||||
@@ -23,8 +25,6 @@
|
||||
|
||||
</p>
|
||||
|
||||
LangBot は、エージェント、RAG、MCP などの LLM アプリケーション機能を備えた、オープンソースの LLM ネイティブのインスタントメッセージングロボット開発プラットフォームです。世界中のインスタントメッセージングプラットフォームに適応し、豊富な API インターフェースを提供し、カスタム開発をサポートします。
|
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|
||||
## 📦 始め方
|
||||
|
||||
#### クイックスタート
|
||||
@@ -79,6 +79,9 @@ LangBotはBTPanelにリストされています。BTPanelをインストール
|
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|
||||
## ✨ 機能
|
||||
|
||||
<img width="500" src="https://docs.langbot.app/ui/bot-page-en-rounded.png" />
|
||||
|
||||
|
||||
- 💬 LLM / エージェントとのチャット: 複数のLLMをサポートし、グループチャットとプライベートチャットに対応。マルチラウンドの会話、ツールの呼び出し、マルチモーダル、ストリーミング出力機能をサポート、RAG（知識ベース）を組み込み、[Dify](https://dify.ai)、[Coze](https://coze.com)、[n8n](https://n8n.io) などの LLMOps プラットフォームと深く統合。
|
||||
- 🤖 多プラットフォーム対応: 現在、QQ、QQ チャンネル、WeChat、個人 WeChat、Lark、DingTalk、Discord、Telegram、KOOK、Slack、LINE など、複数のプラットフォームをサポートしています。
|
||||
- 🛠️ 高い安定性、豊富な機能: ネイティブのアクセス制御、レート制限、敏感な単語のフィルタリングなどのメカニズムをサポート。使いやすく、複数のデプロイ方法をサポート。複数のパイプライン設定をサポートし、異なるボットを異なる用途に使用できます。
|
||||
|
||||
@@ -1,12 +1,14 @@
|
||||
<p align="center">
|
||||
<a href="https://langbot.app">
|
||||
<img src="https://docs.langbot.app/social_en.png" alt="LangBot"/>
|
||||
<img width="130" src="https://docs.langbot.app/langbot-logo.png" alt="LangBot"/>
|
||||
</a>
|
||||
|
||||
<div align="center">
|
||||
|
||||
<a href="https://www.producthunt.com/products/langbot?utm_source=badge-follow&utm_medium=badge&utm_source=badge-langbot" target="_blank"><img src="https://api.producthunt.com/widgets/embed-image/v1/follow.svg?product_id=1077185&theme=light" alt="LangBot - Production-grade IM bot made easy. | Product Hunt" style="width: 250px; height: 54px;" width="250" height="54" /></a>
|
||||
|
||||
<h3>LangBot으로 IM 봇을 빠르게 구축, 디버그 및 배포하세요.</h3>
|
||||
|
||||
[English](README_EN.md) / [简体中文](README.md) / [繁體中文](README_TW.md) / [日本語](README_JP.md) / [Español](README_ES.md) / [Français](README_FR.md) / 한국어 / [Русский](README_RU.md) / [Tiếng Việt](README_VI.md)
|
||||
|
||||
[](https://discord.gg/wdNEHETs87)
|
||||
@@ -23,8 +25,6 @@
|
||||
|
||||
</p>
|
||||
|
||||
LangBot은 오픈 소스 LLM 네이티브 인스턴트 메시징 로봇 개발 플랫폼으로, Agent, RAG, MCP 등 다양한 LLM 애플리케이션 기능을 갖춘 즉시 사용 가능한 IM 로봇 개발 경험을 제공하며, 글로벌 인스턴트 메시징 플랫폼에 적응하고 풍부한 API 인터페이스를 제공하여 맞춤형 개발을 지원합니다.
|
||||
|
||||
## 📦 시작하기
|
||||
|
||||
#### 빠른 시작
|
||||
@@ -79,6 +79,9 @@ LangBot은 BTPanel에 등록되어 있습니다. BTPanel을 설치한 경우 [
|
||||
|
||||
## ✨ 기능
|
||||
|
||||
<img width="500" src="https://docs.langbot.app/ui/bot-page-en-rounded.png" />
|
||||
|
||||
|
||||
- 💬 LLM / Agent와 채팅: 여러 LLM을 지원하며 그룹 채팅 및 개인 채팅에 적응; 멀티 라운드 대화, 도구 호출, 멀티모달, 스트리밍 출력 기능을 지원합니다. 내장된 RAG(지식 베이스) 구현 및 [Dify](https://dify.ai)、[Coze](https://coze.com)、[n8n](https://n8n.io) 등의 LLMOps 플랫폼과 깊이 통합됩니다.
|
||||
- 🤖 다중 플랫폼 지원: 현재 QQ, QQ Channel, WeCom, 개인 WeChat, Lark, DingTalk, Discord, Telegram, KOOK, Slack, LINE 등을 지원합니다.
|
||||
- 🛠️ 높은 안정성, 풍부한 기능: 네이티브 액세스 제어, 속도 제한, 민감한 단어 필터링 등의 메커니즘; 사용하기 쉽고 여러 배포 방법을 지원합니다. 여러 파이프라인 구성을 지원하며 다양한 시나리오에 대해 다른 봇을 사용할 수 있습니다.
|
||||
|
||||
@@ -1,12 +1,14 @@
|
||||
<p align="center">
|
||||
<a href="https://langbot.app">
|
||||
<img src="https://docs.langbot.app/social_en.png" alt="LangBot"/>
|
||||
<img width="130" src="https://docs.langbot.app/langbot-logo.png" alt="LangBot"/>
|
||||
</a>
|
||||
|
||||
<div align="center">
|
||||
|
||||
<a href="https://www.producthunt.com/products/langbot?utm_source=badge-follow&utm_medium=badge&utm_source=badge-langbot" target="_blank"><img src="https://api.producthunt.com/widgets/embed-image/v1/follow.svg?product_id=1077185&theme=light" alt="LangBot - Production-grade IM bot made easy. | Product Hunt" style="width: 250px; height: 54px;" width="250" height="54" /></a>
|
||||
|
||||
<h3>Быстро создавайте, отлаживайте и развертывайте IM-ботов с LangBot.</h3>
|
||||
|
||||
[English](README_EN.md) / [简体中文](README.md) / [繁體中文](README_TW.md) / [日本語](README_JP.md) / [Español](README_ES.md) / [Français](README_FR.md) / [한국어](README_KO.md) / Русский / [Tiếng Việt](README_VI.md)
|
||||
|
||||
[](https://discord.gg/wdNEHETs87)
|
||||
@@ -23,8 +25,6 @@
|
||||
|
||||
</p>
|
||||
|
||||
LangBot — это платформа разработки ботов для мгновенных сообщений на основе LLM с открытым исходным кодом, целью которой является предоставление готового к использованию опыта разработки ботов для IM, с функциями приложений LLM, такими как Agent, RAG, MCP, адаптацией к глобальным платформам мгновенных сообщений и предоставлением богатых API-интерфейсов, поддерживающих пользовательскую разработку.
|
||||
|
||||
## 📦 Начало работы
|
||||
|
||||
#### Быстрый старт
|
||||
@@ -79,6 +79,9 @@ LangBot добавлен в BTPanel. Если у вас установлен BTP
|
||||
|
||||
## ✨ Функции
|
||||
|
||||
<img width="500" src="https://docs.langbot.app/ui/bot-page-en-rounded.png" />
|
||||
|
||||
|
||||
- 💬 Чат с LLM / Agent: Поддержка нескольких LLM, адаптация к групповым и личным чатам; Поддержка многораундовых разговоров, вызовов инструментов, мультимодальных возможностей и потоковой передачи. Встроенная реализация RAG (база знаний) и глубокая интеграция с [Dify](https://dify.ai), [Coze](https://coze.com), [n8n](https://n8n.io) 등의 LLMOps 플랫포트폼과 깊이 통합됩니다.
|
||||
- 🤖 Многоплатформенная поддержка: В настоящее время поддерживает QQ, QQ Channel, WeCom, личный WeChat, Lark, DingTalk, Discord, Telegram, KOOK, Slack, LINE и т.д.
|
||||
- 🛠️ Высокая стабильность, богатство функций: Нативный контроль доступа, ограничение скорости, фильтрация чувствительных слов и т.д.; Простота в использовании, поддержка нескольких методов развертывания. Поддержка нескольких конфигураций конвейера, разные боты для разных сценариев.
|
||||
|
||||
@@ -1,10 +1,12 @@
|
||||
<p align="center">
|
||||
<a href="https://langbot.app">
|
||||
<img src="https://docs.langbot.app/social_zh.png" alt="LangBot"/>
|
||||
<img width="130" src="https://docs.langbot.app/langbot-logo.png" alt="LangBot"/>
|
||||
</a>
|
||||
|
||||
<div align="center"><a href="https://hellogithub.com/repository/langbot-app/LangBot" target="_blank"><img src="https://abroad.hellogithub.com/v1/widgets/recommend.svg?rid=5ce8ae2aa4f74316bf393b57b952433c&claim_uid=gtmc6YWjMZkT21R" alt="Featured｜HelloGitHub" style="width: 250px; height: 54px;" width="250" height="54" /></a>
|
||||
|
||||
<h3>使用 LangBot 快速建構、除錯和部署 IM 機器人。</h3>
|
||||
|
||||
[English](README_EN.md) / [简体中文](README.md) / 繁體中文 / [日本語](README_JP.md) / [Español](README_ES.md) / [Français](README_FR.md) / [한국어](README_KO.md) / [Русский](README_RU.md) / [Tiếng Việt](README_VI.md)
|
||||
|
||||
[](https://discord.gg/wdNEHETs87)
|
||||
@@ -23,8 +25,6 @@
|
||||
|
||||
</p>
|
||||
|
||||
LangBot 是一個開源的大語言模型原生即時通訊機器人開發平台，旨在提供開箱即用的 IM 機器人開發體驗，具有 Agent、RAG、MCP 等多種 LLM 應用功能，適配全球主流即時通訊平台，並提供豐富的 API 介面，支援自定義開發。
|
||||
|
||||
## 📦 開始使用
|
||||
|
||||
#### 快速部署
|
||||
@@ -79,6 +79,9 @@ docker compose up -d
|
||||
|
||||
## ✨ 特性
|
||||
|
||||
<img width="500" src="https://docs.langbot.app/ui/bot-page-en-rounded.png" />
|
||||
|
||||
|
||||
- 💬 大模型對話、Agent：支援多種大模型，適配群聊和私聊；具有多輪對話、工具調用、多模態、流式輸出能力，自帶 RAG（知識庫）實現，並深度適配 [Dify](https://dify.ai)、[Coze](https://coze.com)、[n8n](https://n8n.io) 等 LLMOps 平台。
|
||||
- 🤖 多平台支援：目前支援 QQ、QQ頻道、企業微信、個人微信、飛書、Discord、Telegram、KOOK、Slack、LINE 等平台。
|
||||
- 🛠️ 高穩定性、功能完備：原生支援訪問控制、限速、敏感詞過濾等機制；配置簡單，支援多種部署方式。支援多流水線配置，不同機器人用於不同應用場景。
|
||||
|
||||
@@ -1,12 +1,14 @@
|
||||
<p align="center">
|
||||
<a href="https://langbot.app">
|
||||
<img src="https://docs.langbot.app/social_en.png" alt="LangBot"/>
|
||||
<img width="130" src="https://docs.langbot.app/langbot-logo.png" alt="LangBot"/>
|
||||
</a>
|
||||
|
||||
<div align="center">
|
||||
|
||||
<a href="https://www.producthunt.com/products/langbot?utm_source=badge-follow&utm_medium=badge&utm_source=badge-langbot" target="_blank"><img src="https://api.producthunt.com/widgets/embed-image/v1/follow.svg?product_id=1077185&theme=light" alt="LangBot - Production-grade IM bot made easy. | Product Hunt" style="width: 250px; height: 54px;" width="250" height="54" /></a>
|
||||
|
||||
<h3>Xây dựng, gỡ lỗi và triển khai bot IM nhanh chóng với LangBot.</h3>
|
||||
|
||||
[English](README_EN.md) / [简体中文](README.md) / [繁體中文](README_TW.md) / [日本語](README_JP.md) / [Español](README_ES.md) / [Français](README_FR.md) / [한국어](README_KO.md) / [Русский](README_RU.md) / Tiếng Việt
|
||||
|
||||
[](https://discord.gg/wdNEHETs87)
|
||||
@@ -23,8 +25,6 @@
|
||||
|
||||
</p>
|
||||
|
||||
LangBot là một nền tảng phát triển robot nhắn tin tức thời gốc LLM mã nguồn mở, nhằm mục đích cung cấp trải nghiệm phát triển robot IM sẵn sàng sử dụng, với các chức năng ứng dụng LLM như Agent, RAG, MCP, thích ứng với các nền tảng nhắn tin tức thời toàn cầu và cung cấp giao diện API phong phú, hỗ trợ phát triển tùy chỉnh.
|
||||
|
||||
## 📦 Bắt đầu
|
||||
|
||||
#### Khởi động Nhanh
|
||||
@@ -79,6 +79,9 @@ Nhấp vào các nút Star và Watch ở góc trên bên phải của kho lưu t
|
||||
|
||||
## ✨ Tính năng
|
||||
|
||||
<img width="500" src="https://docs.langbot.app/ui/bot-page-en-rounded.png" />
|
||||
|
||||
|
||||
- 💬 Chat với LLM / Agent: Hỗ trợ nhiều LLM, thích ứng với chat nhóm và chat riêng tư; Hỗ trợ các cuộc trò chuyện nhiều vòng, gọi công cụ, khả năng đa phương thức và đầu ra streaming. Triển khai RAG (cơ sở kiến thức) tích hợp sẵn và tích hợp sâu với [Dify](https://dify.ai), [Coze](https://coze.com), [n8n](https://n8n.io) v.v. LLMOps platforms.
|
||||
- 🤖 Hỗ trợ Đa nền tảng: Hiện hỗ trợ QQ, QQ Channel, WeCom, WeChat cá nhân, Lark, DingTalk, Discord, Telegram, KOOK, Slack, LINE, v.v.
|
||||
- 🛠️ Độ ổn định Cao, Tính năng Phong phú: Kiểm soát truy cập gốc, giới hạn tốc độ, lọc từ nhạy cảm, v.v.; Dễ sử dụng, hỗ trợ nhiều phương pháp triển khai. Hỗ trợ nhiều cấu hình pipeline, các bot khác nhau cho các kịch bản khác nhau.
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
[project]
|
||||
name = "langbot"
|
||||
version = "4.6.3"
|
||||
version = "4.6.4"
|
||||
description = "Easy-to-use global IM bot platform designed for LLM era"
|
||||
readme = "README.md"
|
||||
license-files = ["LICENSE"]
|
||||
@@ -63,7 +63,7 @@ dependencies = [
|
||||
"langchain-text-splitters>=0.0.1",
|
||||
"chromadb>=0.4.24",
|
||||
"qdrant-client (>=1.15.1,<2.0.0)",
|
||||
"langbot-plugin==0.2.1",
|
||||
"langbot-plugin==0.2.3",
|
||||
"asyncpg>=0.30.0",
|
||||
"line-bot-sdk>=3.19.0",
|
||||
"tboxsdk>=0.0.10",
|
||||
|
||||
@@ -1,3 +1,3 @@
|
||||
"""LangBot - Easy-to-use global IM bot platform designed for LLM era"""
|
||||
|
||||
__version__ = '4.6.3'
|
||||
__version__ = '4.6.4'
|
||||
|
||||
@@ -59,7 +59,7 @@ class BotService:
|
||||
adapter_runtime_values['bot_account_id'] = runtime_bot.adapter.bot_account_id
|
||||
|
||||
# Webhook URL for unified webhook adapters (independent of bot running state)
|
||||
if persistence_bot['adapter'] in ['wecom', 'wecombot', 'officialaccount', 'qqofficial', 'slack', 'wecomcs', 'LINE']:
|
||||
if persistence_bot['adapter'] in ['wecom', 'wecombot', 'officialaccount', 'qqofficial', 'slack', 'wecomcs', 'LINE', 'lark']:
|
||||
webhook_prefix = self.ap.instance_config.data['api'].get('webhook_prefix', 'http://127.0.0.1:5300')
|
||||
webhook_url = f'/bots/{bot_uuid}'
|
||||
adapter_runtime_values['webhook_url'] = webhook_url
|
||||
|
||||
@@ -416,6 +416,7 @@ class LarkAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
|
||||
|
||||
message_converter: LarkMessageConverter = LarkMessageConverter()
|
||||
event_converter: LarkEventConverter = LarkEventConverter()
|
||||
cipher: AESCipher
|
||||
|
||||
listeners: typing.Dict[
|
||||
typing.Type[platform_events.Event],
|
||||
@@ -427,51 +428,11 @@ class LarkAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
|
||||
card_id_dict: dict[str, str] # 消息id到卡片id的映射，便于创建卡片后的发送消息到指定卡片
|
||||
|
||||
seq: int # 用于在发送卡片消息中识别消息顺序，直接以seq作为标识
|
||||
bot_uuid: str = None # 机器人UUID
|
||||
|
||||
def __init__(self, config: dict, logger: abstract_platform_logger.AbstractEventLogger, **kwargs):
|
||||
quart_app = quart.Quart(__name__)
|
||||
|
||||
@quart_app.route('/lark/callback', methods=['POST'])
|
||||
async def lark_callback():
|
||||
try:
|
||||
data = await quart.request.json
|
||||
|
||||
if 'encrypt' in data:
|
||||
cipher = AESCipher(config['encrypt-key'])
|
||||
data = cipher.decrypt_string(data['encrypt'])
|
||||
data = json.loads(data)
|
||||
|
||||
type = data.get('type')
|
||||
if type is None:
|
||||
context = EventContext(data)
|
||||
type = context.header.event_type
|
||||
|
||||
if 'url_verification' == type:
|
||||
# todo 验证verification token
|
||||
return {'challenge': data.get('challenge')}
|
||||
context = EventContext(data)
|
||||
type = context.header.event_type
|
||||
p2v1 = P2ImMessageReceiveV1()
|
||||
p2v1.header = context.header
|
||||
event = P2ImMessageReceiveV1Data()
|
||||
event.message = EventMessage(context.event['message'])
|
||||
event.sender = EventSender(context.event['sender'])
|
||||
p2v1.event = event
|
||||
p2v1.schema = context.schema
|
||||
if 'im.message.receive_v1' == type:
|
||||
try:
|
||||
event = await self.event_converter.target2yiri(p2v1, self.api_client)
|
||||
except Exception:
|
||||
await self.logger.error(f'Error in lark callback: {traceback.format_exc()}')
|
||||
|
||||
if event.__class__ in self.listeners:
|
||||
await self.listeners[event.__class__](event, self)
|
||||
|
||||
return {'code': 200, 'message': 'ok'}
|
||||
except Exception:
|
||||
await self.logger.error(f'Error in lark callback: {traceback.format_exc()}')
|
||||
return {'code': 500, 'message': 'error'}
|
||||
|
||||
async def on_message(event: lark_oapi.im.v1.P2ImMessageReceiveV1):
|
||||
lb_event = await self.event_converter.target2yiri(event, self.api_client)
|
||||
|
||||
@@ -488,6 +449,7 @@ class LarkAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
|
||||
|
||||
bot = lark_oapi.ws.Client(config['app_id'], config['app_secret'], event_handler=event_handler)
|
||||
api_client = lark_oapi.Client.builder().app_id(config['app_id']).app_secret(config['app_secret']).build()
|
||||
cipher = AESCipher(config.get('encrypt-key', ''))
|
||||
|
||||
super().__init__(
|
||||
config=config,
|
||||
@@ -500,6 +462,7 @@ class LarkAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
|
||||
bot=bot,
|
||||
api_client=api_client,
|
||||
bot_account_id=bot_account_id,
|
||||
cipher=cipher,
|
||||
**kwargs,
|
||||
)
|
||||
|
||||
@@ -884,8 +847,89 @@ class LarkAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
|
||||
):
|
||||
self.listeners.pop(event_type)
|
||||
|
||||
def set_bot_uuid(self, bot_uuid: str):
|
||||
"""设置 bot UUID（用于生成 webhook URL）"""
|
||||
self.bot_uuid = bot_uuid
|
||||
|
||||
async def handle_unified_webhook(self, bot_uuid: str, path: str, request):
|
||||
"""处理统一 webhook 请求。
|
||||
Args:
|
||||
bot_uuid: Bot 的 UUID
|
||||
path: 子路径（如果有的话）
|
||||
request: Quart Request 对象
|
||||
Returns:
|
||||
响应数据
|
||||
"""
|
||||
try:
|
||||
data = await request.json
|
||||
|
||||
if 'encrypt' in data:
|
||||
data = self.cipher.decrypt_string(data['encrypt'])
|
||||
data = json.loads(data)
|
||||
type = data.get('type')
|
||||
if type is None:
|
||||
context = EventContext(data)
|
||||
type = context.header.event_type
|
||||
|
||||
if 'url_verification' == type:
|
||||
# todo 验证verification token
|
||||
return {'challenge': data.get('challenge')}
|
||||
context = EventContext(data)
|
||||
type = context.header.event_type
|
||||
p2v1 = P2ImMessageReceiveV1()
|
||||
p2v1.header = context.header
|
||||
event = P2ImMessageReceiveV1Data()
|
||||
if 'im.message.receive_v1' == type:
|
||||
try:
|
||||
event.message = EventMessage(context.event['message'])
|
||||
event.sender = EventSender(context.event['sender'])
|
||||
p2v1.event = event
|
||||
p2v1.schema = context.schema
|
||||
event = await self.event_converter.target2yiri(p2v1, self.api_client)
|
||||
except Exception:
|
||||
await self.logger.error(f'Error in lark callback: {traceback.format_exc()}')
|
||||
|
||||
if event.__class__ in self.listeners:
|
||||
await self.listeners[event.__class__](event, self)
|
||||
elif 'im.chat.member.bot.added_v1' == type:
|
||||
try:
|
||||
bot_added_welcome_msg = self.config.get('bot_added_welcome', '')
|
||||
if bot_added_welcome_msg:
|
||||
final_content = {
|
||||
'zh_Hans': {
|
||||
'title': '',
|
||||
'content': bot_added_welcome_msg,
|
||||
},
|
||||
}
|
||||
chat_id = context.event['chat_id']
|
||||
request: CreateMessageRequest = (
|
||||
CreateMessageRequest.builder()
|
||||
.receive_id_type('chat_id')
|
||||
.request_body(
|
||||
CreateMessageRequestBody.builder()
|
||||
.receive_id(chat_id)
|
||||
.content(json.dumps(final_content))
|
||||
.msg_type('post')
|
||||
.uuid(str(uuid.uuid4()))
|
||||
.build()
|
||||
)
|
||||
.build()
|
||||
)
|
||||
response: CreateMessageResponse = self.api_client.im.v1.message.create(request)
|
||||
|
||||
if not response.success():
|
||||
raise Exception(
|
||||
f'client.im.v1.message.create failed, code: {response.code}, msg: {response.msg}, log_id: {response.get_log_id()}, resp: \n{json.dumps(json.loads(response.raw.content), indent=4, ensure_ascii=False)}'
|
||||
)
|
||||
except Exception:
|
||||
await self.logger.error(f'Error in lark callback: {traceback.format_exc()}')
|
||||
|
||||
return {'code': 200, 'message': 'ok'}
|
||||
except Exception:
|
||||
await self.logger.error(f'Error in lark callback: {traceback.format_exc()}')
|
||||
return {'code': 500, 'message': 'error'}
|
||||
|
||||
async def run_async(self):
|
||||
port = self.config['port']
|
||||
enable_webhook = self.config['enable-webhook']
|
||||
|
||||
if not enable_webhook:
|
||||
@@ -900,16 +944,14 @@ class LarkAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
|
||||
else:
|
||||
raise e
|
||||
else:
|
||||
# 统一 webhook 模式下，不启动独立的 Quart 应用
|
||||
# 保持运行但不启动独立端口
|
||||
|
||||
async def shutdown_trigger_placeholder():
|
||||
async def keep_alive():
|
||||
while True:
|
||||
await asyncio.sleep(1)
|
||||
|
||||
await self.quart_app.run_task(
|
||||
host='0.0.0.0',
|
||||
port=port,
|
||||
shutdown_trigger=shutdown_trigger_placeholder,
|
||||
)
|
||||
await keep_alive()
|
||||
|
||||
async def kill(self) -> bool:
|
||||
# 需要断开连接，不然旧的连接会继续运行，导致飞书消息来时会随机选择一个连接
|
||||
|
||||
@@ -45,16 +45,6 @@ spec:
|
||||
type: boolean
|
||||
required: true
|
||||
default: false
|
||||
- name: port
|
||||
label:
|
||||
en_US: Webhook Port
|
||||
zh_Hans: Webhook端口
|
||||
description:
|
||||
en_US: Only valid when webhook mode is enabled, please fill in the webhook port
|
||||
zh_Hans: 仅在启用 Webhook 模式时有效，请填写 Webhook 端口
|
||||
type: integer
|
||||
required: true
|
||||
default: 2285
|
||||
- name: encrypt-key
|
||||
label:
|
||||
en_US: Encrypt Key
|
||||
@@ -75,6 +65,16 @@ spec:
|
||||
type: boolean
|
||||
required: true
|
||||
default: false
|
||||
- name: bot_added_welcome
|
||||
label:
|
||||
en_US: Bot Welcome Message
|
||||
zh_Hans: 机器人进群欢迎语
|
||||
description:
|
||||
en_US: Welcome message when the bot is added to a group, supports Markdown format
|
||||
zh_Hans: 机器人进群欢迎语，支持 Markdown 格式
|
||||
type: text
|
||||
required: false
|
||||
default: ""
|
||||
execution:
|
||||
python:
|
||||
path: ./lark.py
|
||||
|
||||
2
web/.gitignore
vendored
2
web/.gitignore
vendored
@@ -40,5 +40,3 @@ yarn-error.log*
|
||||
# typescript
|
||||
*.tsbuildinfo
|
||||
next-env.d.ts
|
||||
|
||||
pnpm-lock.yaml
|
||||
10394
web/package-lock.json
generated
10394
web/package-lock.json
generated
File diff suppressed because it is too large
Load Diff
@@ -51,11 +51,11 @@
|
||||
"input-otp": "^1.4.2",
|
||||
"lodash": "^4.17.21",
|
||||
"lucide-react": "^0.507.0",
|
||||
"next": "15.4.8",
|
||||
"next": "~15.5.7",
|
||||
"next-themes": "^0.4.6",
|
||||
"postcss": "^8.5.3",
|
||||
"react": "^19.0.0",
|
||||
"react-dom": "^19.0.0",
|
||||
"react": "19.2.1",
|
||||
"react-dom": "19.2.1",
|
||||
"react-hook-form": "^7.56.3",
|
||||
"react-i18next": "^15.5.1",
|
||||
"react-markdown": "^10.1.0",
|
||||
@@ -82,8 +82,8 @@
|
||||
"@types/mdast": "^4.0.4",
|
||||
"@types/ms": "^2.1.0",
|
||||
"@types/node": "^20",
|
||||
"@types/react": "^19",
|
||||
"@types/react-dom": "^19",
|
||||
"@types/react": "~19.2.7",
|
||||
"@types/react-dom": "~19.2.3",
|
||||
"@types/react-syntax-highlighter": "^15.5.13",
|
||||
"@types/unist": "^3.0.3",
|
||||
"eslint": "^9",
|
||||
|
||||
6265
web/pnpm-lock.yaml
generated
Normal file
6265
web/pnpm-lock.yaml
generated
Normal file
File diff suppressed because it is too large
Load Diff
@@ -111,14 +111,41 @@ export default function BotForm({
|
||||
const [dynamicFormConfigList, setDynamicFormConfigList] = useState<
|
||||
IDynamicFormItemSchema[]
|
||||
>([]);
|
||||
const [filteredDynamicFormConfigList, setFilteredDynamicFormConfigList] =
|
||||
useState<IDynamicFormItemSchema[]>([]);
|
||||
const [, setIsLoading] = useState<boolean>(false);
|
||||
const [webhookUrl, setWebhookUrl] = useState<string>('');
|
||||
const webhookInputRef = React.useRef<HTMLInputElement>(null);
|
||||
|
||||
// Watch adapter and adapter_config for filtering
|
||||
const currentAdapter = form.watch('adapter');
|
||||
const currentAdapterConfig = form.watch('adapter_config');
|
||||
|
||||
useEffect(() => {
|
||||
setBotFormValues();
|
||||
}, []);
|
||||
|
||||
// Filter dynamic form config list based on enable-webhook status for Lark adapter
|
||||
useEffect(() => {
|
||||
if (currentAdapter === 'lark') {
|
||||
const enableWebhook = currentAdapterConfig?.['enable-webhook'];
|
||||
if (enableWebhook === false) {
|
||||
// Hide encrypt-key field when webhook is disabled
|
||||
setFilteredDynamicFormConfigList(
|
||||
dynamicFormConfigList.filter(
|
||||
(config) => config.name !== 'encrypt-key',
|
||||
),
|
||||
);
|
||||
} else {
|
||||
// Show all fields when webhook is enabled or undefined
|
||||
setFilteredDynamicFormConfigList(dynamicFormConfigList);
|
||||
}
|
||||
} else {
|
||||
// For non-Lark adapters, show all fields
|
||||
setFilteredDynamicFormConfigList(dynamicFormConfigList);
|
||||
}
|
||||
}, [currentAdapter, currentAdapterConfig, dynamicFormConfigList]);
|
||||
|
||||
// 复制到剪贴板的辅助函数 - 使用页面上的真实input元素
|
||||
const copyToClipboard = () => {
|
||||
console.log('[Copy] Attempting to copy from input element');
|
||||
@@ -498,34 +525,36 @@ export default function BotForm({
|
||||
</div>
|
||||
|
||||
{/* Webhook 地址显示（统一 Webhook 模式） */}
|
||||
{webhookUrl && (
|
||||
<FormItem>
|
||||
<FormLabel>{t('bots.webhookUrl')}</FormLabel>
|
||||
<div className="flex items-center gap-2">
|
||||
<Input
|
||||
ref={webhookInputRef}
|
||||
value={webhookUrl}
|
||||
readOnly
|
||||
className="flex-1 bg-gray-50 dark:bg-gray-900"
|
||||
onClick={(e) => {
|
||||
// 点击输入框时自动全选
|
||||
(e.target as HTMLInputElement).select();
|
||||
}}
|
||||
/>
|
||||
<Button
|
||||
type="button"
|
||||
variant="outline"
|
||||
size="sm"
|
||||
onClick={copyToClipboard}
|
||||
>
|
||||
{t('common.copy')}
|
||||
</Button>
|
||||
</div>
|
||||
<p className="text-sm text-gray-500 mt-1">
|
||||
{t('bots.webhookUrlHint')}
|
||||
</p>
|
||||
</FormItem>
|
||||
)}
|
||||
{webhookUrl &&
|
||||
(currentAdapter !== 'lark' ||
|
||||
currentAdapterConfig?.['enable-webhook'] !== false) && (
|
||||
<FormItem>
|
||||
<FormLabel>{t('bots.webhookUrl')}</FormLabel>
|
||||
<div className="flex items-center gap-2">
|
||||
<Input
|
||||
ref={webhookInputRef}
|
||||
value={webhookUrl}
|
||||
readOnly
|
||||
className="flex-1 bg-gray-50 dark:bg-gray-900"
|
||||
onClick={(e) => {
|
||||
// 点击输入框时自动全选
|
||||
(e.target as HTMLInputElement).select();
|
||||
}}
|
||||
/>
|
||||
<Button
|
||||
type="button"
|
||||
variant="outline"
|
||||
size="sm"
|
||||
onClick={copyToClipboard}
|
||||
>
|
||||
{t('common.copy')}
|
||||
</Button>
|
||||
</div>
|
||||
<p className="text-sm text-gray-500 mt-1">
|
||||
{t('bots.webhookUrlHint')}
|
||||
</p>
|
||||
</FormItem>
|
||||
)}
|
||||
</>
|
||||
)}
|
||||
|
||||
@@ -622,13 +651,13 @@ export default function BotForm({
|
||||
</div>
|
||||
)}
|
||||
|
||||
{showDynamicForm && dynamicFormConfigList.length > 0 && (
|
||||
{showDynamicForm && filteredDynamicFormConfigList.length > 0 && (
|
||||
<div className="space-y-4">
|
||||
<div className="text-lg font-medium">
|
||||
{t('bots.adapterConfig')}
|
||||
</div>
|
||||
<DynamicFormComponent
|
||||
itemConfigList={dynamicFormConfigList}
|
||||
itemConfigList={filteredDynamicFormConfigList}
|
||||
initialValues={form.watch('adapter_config')}
|
||||
onSubmit={(values) => {
|
||||
form.setValue('adapter_config', values);
|
||||
|
||||
Reference in New Issue
Block a user