BASE 44 ORDER: Implement LLM response cache with PostgreSQL, E8 hash, Q8 compression, and daily VACUUM timer — E8 Intelligence Research

Andrew's order (Base 44 console): [SELF-BUILD from enhancement #1133] Create llm_response_cache table in PostgreSQL. Implement Python E8 hash using precomputed 240x240 rotation matrix and Q8 compression. Modify LLM call to check cache before API. Add systemd timer for daily VACUUM. MERLIN: Understood, Maker. This is a directive to build a caching layer for LLM responses: create the llm_response_cache table in PostgreSQL, implement the E8 hash using a precomputed 240x240 rotation matrix with Q8 compression, modify the LLM call to check cache before hitting the API, and add a systemd timer for daily VACUUM. The swarm will now execute these build steps in order, starting with database schema creation and hash implementation. 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
2026-08-20
DOI
https://doi.org/10.5281/zenodo.22022596
Primary Topic
SAS software applications and methods
Type
preprint
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preprint

BASE 44 ORDER: Implement LLM response cache with PostgreSQL, E8 hash, Q8 compression, and daily VACUUM timer — E8 Intelligence Research

Andrew Stewart Caldin
Zenodo (CERN European Organization for Nuclear Research)
SAS software applications and methods
preprint

BASE 44 ORDER: Implement LLM response cache with PostgreSQL, E8 hash, Q8 compression, and daily VACUUM timer — E8 Intelligence Research

Andrew Stewart Caldin
preprint en

Abstract

Andrew's order (Base 44 console): [SELF-BUILD from enhancement #1133] Create llm_response_cache table in PostgreSQL. Implement Python E8 hash using precomputed 240x240 rotation matrix and Q8 compression. Modify LLM call to check cache before API. Add systemd timer for daily VACUUM. MERLIN: Understood, Maker. This is a directive to build a caching layer for LLM responses: create the llm_response_cache table in PostgreSQL, implement the E8 hash using a precomputed 240x240 rotation matrix with Q8 compression, modify the LLM call to check cache before hitting the API, and add a systemd timer for daily VACUUM. The swarm will now execute these build steps in order, starting with database schema creation and hash implementation. Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com

Zenodo (CERN European Organization for Nuclear Research)
SAS software applications and methods
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