Solid tutorial from MarkTechPost on using PydanticAI to build agentic systems where structured schemas act as governance contracts, not just nice-to-have outputs. The approach of baking policy compliance and risk assessment directly into the output schema is something more enterprise AI teams should consider. Particularly relevant as organizations struggle to make AI agents that are actually auditable.
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How to Build Contract-First Agentic Decision Systems with PydanticAI for Risk-Aware, Policy-Compliant Enterprise AI
In this tutorial, we demonstrate how to design a contract-first agentic decision system using PydanticAI, treating structured schemas as non-negotiable governance contracts rather than optional output formats. We show how we define a strict decision model that encodes policy compliance, risk assessment, confidence calibration, and actionable next steps directly into the agent’s output schema. By […] The post How to Build Contract-First Agentic Decision Systems with PydanticAI for Risk-Aw
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