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Prompts define how every LLM application behaves in production. They control tone, safety guardrails, output format, tool selection, and reasoning strategy. Yet many teams still manage prompts as hardcoded strings buried inside application code, with no version history, no audit trail, and no way for non-engineers to iterate without

Prompts are the control layer for every LLM application. A single change to a system prompt can cause a chatbot to hallucinate product details, an agent to select the wrong tool, or an entire pipeline to produce outputs that fail quality thresholds. Unlike traditional software where outputs are deterministic, LLM