ANSWER HUB
RunLedger vs deepeval
DeepEval focuses on evaluation and scoring; RunLedger focuses on deterministic replay and CI gates.
Direct Answer
Use RunLedger for deterministic replay and hard CI gates. Use DeepEval for quality scoring and benchmarking. Many teams use both.
Quick Decision
| Use RunLedger when | Consider alternatives when |
|---|---|
| You need deterministic CI gates. | You need LLM-scored quality metrics. |
| Tool calls make tests flaky. | You are scoring offline datasets. |
| You want PR regression checks. | You want benchmark comparisons. |
Where DeepEval wins
- Quality scoring and benchmarking workflows.
- Custom evaluation metrics and grading.
- Comparing model variants for accuracy.
Where RunLedger wins
- Deterministic replay for tool-using agents.
- Hard CI pass/fail gates on contracts and budgets.
- Stable artifacts for PR diffs and audits.
Recommendation
Use DeepEval to measure quality and RunLedger to gate regressions in CI.
Tradeoffs
- Running both adds setup and maintenance.
- Quality scoring can be slower or costlier than replay.
- You still need to define contracts and baselines.
When NOT to use RunLedger
Skip RunLedger if you only need qualitative scoring and do not require deterministic CI gates.