LLM Observability

LLM observability is the practice of monitoring and understanding what happens inside your AI application at runtime, tracking things like which prompts were sent, what responses came back, how long each call took, and how many tokens were used. Without visibility into these details, debugging failures or understanding why outputs changed is extremely difficult. Good observability gives you a continuous record of your system's behavior in development and production.