The large language models supported by LangBot include three main categories:
- Business API Model: OpenAI GPT series, Claude, Gemini, DeepSeek, Moonshot, etc.
- open source model: ChatGLM, Qwen, etc.
- local model: Self-hosted solutions such as Ollama, LM Studio, etc.
The significant advantages of LangBot over single-model robots are shown in:
- Flexible switching: You can switch between different models at any time according to the needs of the scene, such as using Claude to handle long text and GPT-4 to handle code problems.
- Disaster recovery: When a model service is unavailable, it can be automatically switched to the backup model to ensure service continuity.
- Cost optimization: models that can be intelligently assigned to different cost tiers for different types of requests
- Complementary features and functions: If you need image generation, you can interface with DALL-E, and if you need complex calculations, you can use the WolframAlpha plugin.
Through the 'Big Model' configuration page in the Web Management Panel, users can easily manage API keys and call policies for multiple models, realizing a true 'model plug-and-play' experience.
This answer comes from the articleLangBot: open source large model instant messaging robot, support for multiple WeChat, QQ, Flybook and other multi-platform deployment of AI robotsThe
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