Revamping Autonomous HDB Agents
A technical walkthrough of revamping Autonomous HDB DeepAgents: replacing PostgreSQL/PostGIS with in-memory SQLite and native Python geodetics, integrating XGBoost valuations into LangGraph, and adding temporal comparability checks to avoid misleading price comparisons. Python now renders the numerical tables deterministically, while the LLM interprets the results. The post also covers data refresh, OneMap geocoding verification, reproducible benchmarks, and the design trade-offs behind constrained autonomy.
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