Component Selection
LangfuseProduction traces, datasets, and comparisons
PromptfooPrompt and model regression tests
DeepEvalMetrics and judge-based evaluation
CI / DashboardRelease gates and trend monitoring
LLM Quality Feedback Loop
The common failure is invisible regression. The loop connects traces, bad cases, datasets, and release gates.
[ EVAL-LOOP ]
Scenario CaseLLM Quality Feedback Loop
From “feels good” to testable release criteria
The common failure is invisible regression. The loop connects traces, bad cases, datasets, and release gates.
Decision Boundaries
- Define acceptable error types and thresholds first.
- Build datasets from real bad cases.
- Compare model, prompt, and retrieval changes.
Trace capture
Collect calls, tool use, retrieval, and failure paths.
Dataset building
Turn bad cases and high-value requests into reproducible samples.
Metric design
Evaluate accuracy, faithfulness, format, robustness, and safety.
Release gates
Block obvious regressions in PR and release workflows.