LangBot - Instant Messaging Bot Development Platform

• 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 AI-Token

LangBot supports integrating with locally deployed AI-Token and third-party AI-Token services built using AI-Token.

Usage

1. Obtain an API key from AI-Token

   If AI-Token is deployed locally, please configure the API address yourself (refer to Container Network Connection). If using a third-party AI-Token service, you can copy the address from the page. Note that /v1 needs to be appended to the address.

2. Add a model in LangBot, select AI-Token as the provider, and fill in the corresponding API key and API address

3. Select the model to use in the pipeline

   

4. 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 AI-Token's embedding models and utilizing them as vector models for the knowledge base.

1. Add an embedding model in LangBot, select AI-Token as the provider

2. 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