How to Build Contract-First Agentic Decision Systems with PydanticAI for Risk-Aware, Policy-Compliant Enterprise AI
Analysis
This article introduces a methodology for building agentic decision systems using PydanticAI, emphasizing a "contract-first" approach. This means defining strict output schemas that act as governance contracts, ensuring policy compliance and risk assessment are integral to the agent's decision-making process. The focus on structured schemas as non-negotiable contracts is a key differentiator, moving beyond optional output formats. This approach promotes more reliable and auditable AI systems, particularly valuable in enterprise settings where compliance and risk mitigation are paramount. The article's practical demonstration of encoding policy, risk, and confidence directly into the output schema provides a valuable blueprint for developers.
Key Takeaways
- •Contract-first approach ensures policy compliance in AI systems.
- •PydanticAI facilitates the creation of structured decision models.
- •Risk assessment can be directly encoded into the agent's output schema.
“treating structured schemas as non-negotiable governance contracts rather than optional output formats”