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Ensuring Reliable AI Agent Outputs
Read Full Article: Ensuring Reliable AI Agent Outputs
Improving the reliability of AI systems requires treating agent outputs with the same rigor as API responses. This involves enforcing strict JSON formatting, adhering to exact schemas with specified keys and types, and ensuring no extra keys are included. Validating outputs before proceeding to the next step and retrying upon encountering validation errors (up to two times) can prevent failures. If information is missing, it is better to return "unknown" rather than making guesses. These practices transform a system from a mere demonstration to one that is robust enough for production. This matters because it highlights the importance of structured and enforceable outputs in building reliable AI systems.
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