GBC MedAI employs the following techniques to enable seamless multi-model switching:
- Standardized interfaces: All models are accessed through OpenAI-compatible APIs to maintain a uniform invocation method.
- dynamic routing: The system has a built-in model routing module through
.envhit the nail on the headDEFAULT_MODELThe parameter specifies the default model - eager exchange of support: Dynamic switching of DeepSeek, Ollama, and other model instances via API endpoints without restarting the service
- load balancing: When multiple model endpoints are configured, the system automatically distributes query requests to avoid single-point overloading
For specific implementation, the developer only needs to set up the configuration file for each model in theAPI_BASE_URLcap (a poem)API_KEYThe system will automatically detect the available models. The front-end interface provides a drop-down menu for model selection, and the user will switch through the/v1/update_modelThe API takes effect in real time.
This answer comes from the articleGBC MedAI: An Intelligent Medical Assistant with Access to Multiple AI Models and Search EnginesThe
May not be reproduced without permission:AI productivity tools " What is the technical solution to enable multi-model switching in healthcare AI?
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