Synthetic LLM is a game-changer in the Composable platform, allowing tasks to be distributed across multiple Large Language Models from diverse providers based on predefined weights. This ensures a straightforward and predictable load balancing system with automatic failover to the next LLM in case of task failure. The flexibility of Synthetic LLM opens up various applications such as benchmarking, engine testing, and cost optimization, while future enhancements aim to incorporate best-of-several and dynamic adjustment features for even more powerful decision-making capabilities.