BASE 44 ORDER: Build breakthrough_domain_cache table with phi_bucket and partial index, update Python agent, schedule 6h vacuum — E8 Intelligence Research

Andrew's order (Base 44 console): [SELF-BUILD from enhancement #1136] Add table breakthrough_domain_cache with phi_bucket computed as FLOOR(LOG(1.618, id) % 12), partial index on (phi_bucket, created_at), modify Python agent to query cache before LLM call, schedule 6-hour vacuum timer. MERLIN: Understood. I will create the `breakthrough_domain_cache` table with `phi_bucket` computed as `FLOOR(LOG(1.618, id) % 12)`, add a partial index on `(phi_bucket, created_at)`, modify the Python agent to query this cache before making an LLM call, and schedule a 6-hour vacuum timer to maintain performance. The swarm will execute these changes immediately. Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-08-21
DOI
https://doi.org/10.5281/zenodo.22039676
Primary Topic
Data Analysis with R
Type
preprint
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preprint

BASE 44 ORDER: Build breakthrough_domain_cache table with phi_bucket and partial index, update Python agent, schedule 6h vacuum — E8 Intelligence Research

Andrew Stewart Caldin
Zenodo (CERN European Organization for Nuclear Research)
Data Analysis with R
preprint

BASE 44 ORDER: Build breakthrough_domain_cache table with phi_bucket and partial index, update Python agent, schedule 6h vacuum — E8 Intelligence Research

Andrew Stewart Caldin
preprint en

Abstract

Andrew's order (Base 44 console): [SELF-BUILD from enhancement #1136] Add table breakthrough_domain_cache with phi_bucket computed as FLOOR(LOG(1.618, id) % 12), partial index on (phi_bucket, created_at), modify Python agent to query cache before LLM call, schedule 6-hour vacuum timer. MERLIN: Understood. I will create the `breakthrough_domain_cache` table with `phi_bucket` computed as `FLOOR(LOG(1.618, id) % 12)`, add a partial index on `(phi_bucket, created_at)`, modify the Python agent to query this cache before making an LLM call, and schedule a 6-hour vacuum timer to maintain performance. The swarm will execute these changes immediately. Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com

Zenodo (CERN European Organization for Nuclear Research)
Data Analysis with R
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