Model card
astris-feedback-loop-v1
Continuous feedback loop across four channels — match rating, placement outcome, parse correction, and translation correction. Every event updates a learner: placement outcomes flow into the governance window and move the retention-ensemble weights, while parse/translation corrections feed the extraction retrieval store. Exposed at POST /api/v1/feedback.
At a glance
| Kind | reasoning llm |
| Version | 1.0.0 |
| Status | Active — contributing to scores |
| Ensemble weight | 0 |
| Trained at | Not trained yet |
| Trained on | n/a |
| Artifact | No artifact (heuristic or pre-training) |
Metrics
{
"channels": [
"match_rating",
"placement_outcome",
"parse_correction",
"translation_correction"
],
"endpoint": "POST /api/v1/feedback",
"validation": "synthetic_seed",
"real_cohort": "pending"
}Notes
Orchestration layer that routes feedback to the right learner; not itself a retention voter — weight 0. See api/ml/feedback.py and governance.py.