detect_chains
Automatically identifies and records recurring sequential tool patterns from observation logs, enabling instinct to learn chains without explicit configuration.
Instructions
Mine the observation log to auto-create "seq:A->B" patterns for recurring chains.
Scans the confidence log for pairs of patterns observed close in
time, and creates a new sequence pattern for any pair seen enough
times. This is how instinct learns tool chains without being told
what to track.
Safe to run periodically. Does not overwrite existing chains; only
appends confidence for new pairs.
Args:
window_minutes: Maximum gap between two observations to consider
them sequential. Smaller (1-2) = tight chains only. Larger
(10+) = loose associations. Default 5 is a good balance.
min_occurrences: Threshold for recording a chain. A pair must
appear at least this many times in the log before it becomes
a pattern. Default 3 filters out one-off coincidences.
Returns:
Dict with keys: "chains_created" (int — new patterns added),
"chains_reinforced" (int — existing patterns whose confidence
rose), "candidates_seen" (int — raw pair count before threshold).
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| window_minutes | No | ||
| min_occurrences | No |
Output Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||