Multi-Agent Simulation Module

Enables large-scale agent coordination with minimal latency and maximal parallelism.

• Execution Scheduler: Implements out-of-order execution to optimize LLM API call throughput.

• Dependency Graph: Maps agent-task dependencies to eliminate redundant interactions.

• Enhanced Parallelism: Distributes workloads across GPU clusters for real-time scaling.

• Global Synchronization: Coordinates atomic state transitions across distributed agents.

• LLM Adaptor: Unifies access to LLM providers (e.g., OpenAI, DeepSeek).