The advisor is an LLM agent, therefore:
Given There are archive results for "{Site}"
When Des generates recommendations for "{Site}"
Then Des sees that the recommendations for "{Site}" are consistent over time
Given Des updates the base model
| Old | New |
|---|---|
| 1.3 | 1.4 |
When Des generates recommendations for "Site 1"
Then Des sees that the advice for Zone "{Zone}" is for "{Set Point}" to be "{Recommended Value}"
| Number of Scenarios | 2 | Total Duration | 1s |
| Total Number of Test Cases | 5 | Fastest Test | 17ms |
| Number of Manual Test Cases | 0 | Slowest Test | 495ms |
| Tests Started | Jul 28, 2025 14:05:13 | Average Execution Time | 208ms |
| Tests Finished | Jul 28, 2025 14:05:14 | Total Execution Time | 1s |
| feature | Scenario | Context | Steps | Started | Total Duration | Result |
|---|---|---|---|---|---|---|
| Critique advice |
Explainer recommendations are consistent between runs
3 pending test cases |
3 | 14:05:13 | 058ms | ||
| Critique advice |
Explainer recommendations are consistent after the base model is updated
2 passing test cases |
3 | 14:05:13 | 989ms |