Architectural Choices for AI Agents in Simulation and Result Interpretation
duderinoin · reddit · 2026-07-18
A developer is building an AI agent using the Pydantic AI framework to run various scenarios based on existing simulation frameworks and interpret results according to KPIs, with data stored in an SQL database. The current architecture allows a single model to select a scenario based on user queries, configuring specific tools and context files for it. After the simulation, the agent interprets the results, and users can ask follow-up questions or run more simulations. The author is debating whether to create a separate agent for result interpretation and chart analysis, seeking community advice on multi-agent versus single-agent architectures.
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