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What Happens After the Agent Replies: Archiving Prompt History for Reproducible AI Workflowstranslating…
1 min readUSAForem (DEV Community)
Originally published on tamiz.pro.
When a Retrieval-Augmented Generation (RAG) agent or any LLM-backed service produces an answer, the real value rarely lives in the response alone. It lives in the complete context: the original user query, the retrieval results, the system…