Chaining multiple LLM calls, vector database lookups, and API tools creates a severe performance bottleneck, dragging response times from seconds to minutes. Every sequential step introduces extra network and token processing overhead that quickly ruins the user experience. To fix this compounding latency crisis, engineers must move away from rigid, blocking sequential code. Instead, you need to use smaller, faster models for minor tasks, run speculative database lookups in parallel while models...