Files
LangBot/README.md
Junyan Chin d9a630b8c1 feat: add session message monitoring tab to bot detail dialog (#2005)
* feat: add session message monitoring tab to bot detail dialog

Add a new "Sessions" tab in the bot detail dialog that displays
sent & received messages grouped by sessions. Users can select
any session to view its messages in a chat-bubble style layout.

Backend changes:
- Add sessionId filter to monitoring messages endpoint
- Add role column to MonitoringMessage (user/assistant)
- Record bot responses in monitoring via record_query_response()
- Add DB migration (dbm019) for the new role column

Frontend changes:
- New BotSessionMonitor component with session list + message viewer
- Add Sessions sidebar tab to BotDetailDialog
- Add getBotSessions/getSessionMessages API methods to BackendClient
- Add i18n translations (en-US, zh-Hans, zh-Hant, ja-JP)

Generated with [Claude Code](https://claude.ai/code)
via [Happy](https://happy.engineering)

Co-Authored-By: Claude <noreply@anthropic.com>
Co-Authored-By: Happy <yesreply@happy.engineering>

* refactor: remove outdated version comment from PipelineManager class

* fix: bump required_database_version to 19 to trigger monitoring_messages.role migration

* fix: prevent session message auto-scroll from pushing dialog content out of view

Replace scrollIntoView (which scrolls all ancestor containers) with
direct scrollTop manipulation on the ScrollArea viewport. This keeps
the scroll contained within the messages panel only.

* ui: redesign BotSessionMonitor with polished chat UI

- Wider session list (w-72) with avatar circles and cleaner layout
- Richer chat header with avatar, platform info, and active indicator
- User messages now use blue-500 (solid) instead of blue-100 for
  clear visual distinction
- Metadata (time, runner) shown on hover below bubbles, not inside
- Proper empty state illustrations for both panels
- Better spacing, rounded corners, and shadow treatment
- Consistent dark mode styling

* fix: infinite re-render loop in DynamicFormComponent

The useEffect depended on onSubmit which was a new closure every
parent render. Calling onSubmit inside the effect triggered parent
state update → re-render → new onSubmit ref → effect re-runs → loop.

Fix: use useRef to hold a stable reference to onSubmit, removing it
from the useEffect dependency array.

Also add DialogDescription to BotDetailDialog to suppress Radix
aria-describedby warning.

* fix: remove .html suffix from docs.langbot.app links (Mintlify migration)

* style: fix prettier and ruff formatting

---------

Co-authored-by: Claude <noreply@anthropic.com>
Co-authored-by: Happy <yesreply@happy.engineering>
2026-02-25 21:56:24 +08:00

7.3 KiB
Raw Blame History

LangBot

LangBot - Production-grade IM bot made easy. | Product Hunt

Production-grade platform for building agentic IM bots.

Quickly build, debug, and ship AI bots to Slack, Discord, Telegram, WeChat, and more.

English / 简体中文 / 繁體中文 / 日本語 / Español / Français / 한국어 / Русский / Tiếng Việt

Discord Ask DeepWiki GitHub release (latest by date) python GitHub stars

Website Features Docs API Plugin Market Roadmap


What is LangBot?

LangBot is an open-source, production-grade platform for building AI-powered instant messaging bots. It connects Large Language Models (LLMs) to any chat platform, enabling you to create intelligent agents that can converse, execute tasks, and integrate with your existing workflows.

Key Capabilities

  • AI Conversations & Agents — Multi-turn dialogues, tool calling, multi-modal support, streaming output. Built-in RAG (knowledge base) with deep integration to Dify, Coze, n8n, Langflow.
  • Universal IM Platform Support — One codebase for Discord, Telegram, Slack, LINE, QQ, WeChat, WeCom, Lark, DingTalk, KOOK.
  • Production-Ready — Access control, rate limiting, sensitive word filtering, comprehensive monitoring, and exception handling. Trusted by enterprises.
  • Plugin Ecosystem — Hundreds of plugins, event-driven architecture, component extensions, and MCP protocol support.
  • Web Management Panel — Configure, manage, and monitor your bots through an intuitive browser interface. No YAML editing required.
  • Multi-Pipeline Architecture — Different bots for different scenarios, with comprehensive monitoring and exception handling.

→ Learn more about all features


Quick Start

One-Line Launch

uvx langbot

Requires uv. Visit http://localhost:5300 — done.

Docker Compose

git clone https://github.com/langbot-app/LangBot
cd LangBot/docker
docker compose up -d

One-Click Cloud Deploy

Deploy on Zeabur Deploy on Railway

More options: Docker · Manual · BTPanel · Kubernetes


Supported Platforms

Platform Status Notes
Discord
Telegram
Slack
LINE
QQ Personal & Official API
WeCom Enterprise WeChat, External CS, AI Bot
WeChat Personal & Official Account
Lark
DingTalk
KOOK
Satori

Supported LLMs & Integrations

Provider Type Status
OpenAI LLM
Anthropic LLM
DeepSeek LLM
Google Gemini LLM
xAI LLM
Moonshot LLM
Zhipu AI LLM
Ollama Local LLM
LM Studio Local LLM
Dify LLMOps
MCP Protocol
SiliconFlow Gateway
Aliyun Bailian Gateway
Volc Engine Ark Gateway
ModelScope Gateway
GiteeAI Gateway
CompShare GPU Platform
PPIO GPU Platform
ShengSuanYun GPU Platform
接口 AI Gateway
302.AI Gateway

→ View all integrations


Why LangBot?

Use Case How LangBot Helps
Customer Support Deploy AI agents to Slack/Discord/Telegram that answer questions using your knowledge base
Internal Tools Connect n8n/Dify workflows to WeCom/DingTalk for automated business processes
Community Management Moderate QQ/Discord groups with AI-powered content filtering and interaction
Multi-Platform Presence One bot, all platforms. Manage from a single dashboard

Live Demo

Try it now: https://demo.langbot.dev/

  • Email: demo@langbot.app
  • Password: langbot123456

Note: Public demo environment. Do not enter sensitive information.


Community

Discord


Star History

Star History Chart


Contributors

Thanks to all contributors who have helped make LangBot better: