Resource Management Best Practices
OxyGent uses the following mechanisms to ensure efficient resource utilization:
- distributed scheduler: Limit the maximum number of concurrencies for a single smartbody (recommended value 4-8) via the semaphore parameter of the HttpLLM component
- memory isolation: Assign separate tool sets for different types of intelligences (e.g., avoid mixing file manipulation with mathematical computation tools)
- topological design: Reduce the risk of deadlocks by using a star structure (centralized scheduling of master intelligences) instead of a mesh structure
Solution for e-commerce promotion scenario: When processing high concurrent orders, set a higher semaphore value (e.g., 8) for the payment smart body and 4 for the inventory smart body, and automatically allocate tasks through load balancing of MAS.
This answer comes from the articleOxyGent: Python open source framework for rapidly building intelligent systemsThe
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