The LLM Stack is an innovative technology architecture specifically designed to address the unique challenges of scaling Large Language Model (LLM) applications, which include platform limitations, tooling gaps, observability hurdles, and security concerns. Unlike traditional tech stacks, the LLM Stack incorporates specialized components for monitoring, tracking, and analyzing performance, managing model deployments, and enabling testing and experimentation with different prompts and configurations. A key player in this ecosystem is Helicone, which offers a gateway for traffic management and an observability layer for debugging and optimizing LLM applications. By providing these tools, Helicone and similar solutions aim to enhance the efficiency, scalability, and insightfulness of LLM development workflows, transforming them from simple prototypes into robust, scalable products.