Data Feedback
Agent Platform Data Feedback System
Connects production traces, issue cases, evaluation samples, and preference data so online behavior becomes a continuous quality improvement mechanism.
Overview
A production Agent platform needs to connect traces, issue cases, evaluation samples, and preference data so model behavior, tool calls, and business rules can be continuously evaluated, corrected, and released.
Feedback System
The platform needs structured traces and a clear issue-case taxonomy: wrong tool selection, wrong parameters, poor task decomposition, refusal policy errors, and missing business rules.
These records can feed three paths:
- Evaluation samples for prompt, tool schema, and model release gates.
- Product improvement through workflow gaps, rule gaps, and human fallback design.
- Data construction through chosen/rejected preference pairs for later training or policy optimization.
Platform Value
The feedback system connects production behavior, evaluation, model improvement, and business outcomes. It turns platform delivery into an operating system for accuracy, stability, and continuous improvement.