LLM application security and observability — the trust boundary, and knowing what it costs¶
Every chapter in this track built a piece of a working LLM application — ingestion (Chapter 19b), retrieval (Chapter 19c), and an agent loop that calls tools with real side effects (Chapter 19e) — and every one of those pieces assumed, for the sake of teaching its own mechanism, that the input reaching it was honest. It never is, once the system is public. …
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