LangBot - Instant Messaging Bot Development Platform
LangBot integration guide — build AI-powered chatbots for Feishu, DingTalk, Telegram, Discord, and more. Supports Knowledge Base, Agent, and MCP with TokenPAPA.
LangBot is an open-source instant messaging bot development platform that supports various instant messaging platforms such as Feishu, DingTalk, WeChat, QQ, Telegram, Discord, Slack, etc. It integrates with mainstream global AI models, supports various AI application capabilities like Knowledge Base, Agent, MCP, and is perfectly compatible with TokenPAPA.
- Official Website: https://langbot.app
- Download Address: https://github.com/langbot-app/LangBot/releases
- Official Documentation: https://docs.langbot.app
- Open Source Address: https://github.com/langbot-app/LangBot
Integrating TokenPAPA
LangBot supports integrating with locally deployed TokenPAPA and third-party TokenPAPA services built using TokenPAPA.
Usage
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Obtain an API key from TokenPAPA
If TokenPAPA is deployed locally, please configure the API address yourself (refer to Container Network Connection). If using a third-party TokenPAPA service, you can copy the address from the page. Note that
/v1needs to be appended to the address. -
Add a model in LangBot, select TokenPAPA as the provider, and fill in the corresponding API key and API address
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Select the model to use in the pipeline
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Use it by chatting in conversation debugging or by chatting with a bot bound to the pipeline
For deploying and configuring bots, please refer to Deploying Bots.
Using LangBot Knowledge Base
LangBot supports using TokenPAPA's embedding models and utilizing them as vector models for the knowledge base.
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Add an embedding model in LangBot, select TokenPAPA as the provider
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Select the embedding model when creating a new knowledge base
For more usage instructions, please refer to the LangBot official documentation: https://docs.langbot.app
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