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多平台支持的AI聊天机器人框架 - 连接大模型与微信、飞书、钉钉
An AI chatbot framework supporting multiple large language models (LLMs) and integration across popular platforms like WeChat Official Account, WeChat Work, Feishu, and DingTalk. Handles text, voice, and image inputs, with optional access to operating systems and the internet. Features custom enterprise customer service based on private knowledge bases.
Python
Added on 2025年5月30日37,282
Stars9,253
ForksPython
LanguageProject Introduction
Summary
This project is a versatile open-source framework designed to build AI chatbots powered by various large language models (LLMs) and deploy them across multiple popular Chinese communication platforms like WeChat, Feishu, and DingTalk. It acts as a bridge between users on these platforms and the capabilities of advanced AI models.
Problem Solved
Enterprises and individuals often struggle to integrate powerful large language models into their existing communication workflows and preferred chat platforms. Managing multiple bots or direct API integrations for different platforms and models is complex and requires significant development effort. This project provides a unified framework to connect diverse LLMs with mainstream communication channels, simplifying deployment and management.
Core Features
Multi-Model Support
Seamlessly connect to a wide range of leading AI models including GPT-4.1, GPT-4o, DeepSeek, Claude, Wenxin Yiyan, SparkDesk, Tongyi Qianwen, Gemini, GLM-4, Kimi, and LinkAI.
Multi-Platform Compatibility
Integrate the chatbot into various widely-used communication platforms such as WeChat Official Account, WeChat Work, Feishu, and DingTalk.
Multimodal Capabilities
Process and respond to user inputs in various formats, including text, voice, and images, enabling richer interactions.
External Capabilities (OS/Internet)
Enable the chatbot to interact with the operating system and access the internet, allowing for more dynamic and context-aware responses (optional feature).
Custom Knowledge Base Integration
Build customized intelligent customer service bots for enterprises by leveraging their own private knowledge bases.
Tech Stack
Python
WeChat API
Feishu API
DingTalk API
LLM APIs (Various)
Redis (Inferred for queuing/state)
Docker (Likely for deployment)
使用场景 (Use Cases)
The versatility of this framework allows for deployment in numerous scenarios, including:
Enterprise Customer Service Bot
Details
Deploy an intelligent customer support bot on WeChat Official Account or WeChat Work that can answer common customer queries using a predefined knowledge base.
User Value
Reduces workload on human agents, provides 24/7 support, and ensures consistent responses based on company information.
Personal Productivity Assistant
Details
Create a personal AI assistant accessible via Feishu or DingTalk that can process voice memos, analyze images, and provide quick information lookups via internet access.
User Value
Streamlines daily tasks, provides instant information, and offers multimodal interaction within a familiar chat interface.
Internal Automation Bot
Details
Build internal tools on WeChat Work or DingTalk that can interact with internal systems via OS-level access, triggered by chat commands (e.g., checking system status, running scripts).
User Value
Automates repetitive internal tasks, provides quick access to system information, and improves operational efficiency.
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