How to prevent token misuse in LLM integrations
Preventing prompt injection and token abuse in LLM integrations: a Chrome-extension example attack, then defenses including input validation, narrow prompts, output filters, token limits, rate limiting, and LangChain for pre/post-processing and usage tracking.