Potential for secondary development under the MIT license
The project uses the MIT open source protocol , allowing enterprises to freely modify the core functionality . Developers can extend lib/config.js model configuration file to integrate private deployment of Llama2 and other models. Empirical tests show that after the deployment of 16-core servers , the tool can stably maintain 20-way concurrent conversations. Typical directions for enterprise transformation include adding Azure OpenAI service support, integrating an internal knowledge graph validation module, or developing an automated scoring system to record the quality of each model response. This openness upgrades the tool from a comparison platform to a complete AI capability assessment system.
This answer comes from the articleOpen-Fiesta: an open source tool for chatting with multiple AI macromodels at onceThe
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