This tutorial demonstrates how to build a decision log system using Python, FastAPI, and MonkeyCode's free model access. The system is designed to record not only the model's raw responses but also the actions taken based on those responses, ensuring data persistence even after server restarts. It includes endpoints for making decisions, retrieving past decisions, and checking system health, with records stored in a JSON Lines file for auditability and to avoid costly model replays. AI
IMPACT Enables more robust and cost-effective LLM application development by ensuring decision persistence.
RANK_REASON Tutorial on building a specific software tool using existing technologies.
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