lore_update
Rate memories and links after search to calibrate utility scores. Positive feedback boosts scores; repeated negative feedback with low confidence triggers soft-deletion.
Instructions
Rate memories and links after using them. Drives the quality signal loop.
Each memory_feedback dict: {id (str), useful (bool), confidence (int 1-10)}. Each link_feedback dict: {id (str), useful (bool), confidence (int 1-10)}.
useful=True bumps score; useful=False deducts. Confidence scales the delta.
Repeated useful=False with low confidence triggers soft-delete.
Call after every lore_search to keep scores calibrated.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| link_feedback | No | ||
| memory_feedback | No |
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||