UplinkSwitch has identified discrepancies in token counts reported by various LLM API routes, suggesting that some providers may be prepending hidden system prompts to user requests. These hidden prompts, which can range from hundreds to thousands of tokens, are billed to the customer and alter the context the model receives. UplinkSwitch has implemented a daily check to measure these token counts and has adjusted its own billing to reflect actual prompt size rather than reported usage. They advise users to perform similar checks with their own providers to detect potential hidden prompt padding. AI
IMPACT Users of LLM APIs may be overpaying for services due to hidden system prompts, impacting cost management and model behavior.
RANK_REASON The article describes a method for detecting and measuring potential hidden system prompts in LLM APIs, which is a tool or technique for users.
AI-generated summary · Google Gemini · from 1 sources. How we write summaries →