Skip to content
DraconiticResearch
Search Sources API
203,952 studies31 sourcesUpdated 16 min ago
PreprintCC BY 4.0Zenodo

BASE 44 ORDER: Build breakthrough_cache table and Python caching layer — E8 Intelligence Research

  1. 1Independent Researcher, United Kingdom

Abstract

Andrew's order (Base 44 console): [SELF-BUILD from enhancement #1285] Create table breakthrough_cache (id bigserial primary key, pair_hash bigint not null, payload jsonb not null, created_at timestamptz default now()); create index on breakthrough_cache(pair_hash); in Python, compute pair_hash = hash(title) ^ hash(content), check cache, else LLM call and insert.

MERLIN: Understood — you want a persistent breakthrough cache keyed by pair_hash (title XOR content hash) to avoid duplicate LLM calls. I'll create the table and index, then implement the Python check-then-insert logic so the swarm only calls the LLM on cache misses. I'll wire it into the breakthrough pipeline now.

Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com

Related

  1. BASE 44 ORDER: Build breakthrough_cache table and integrate Python agent caching — E8 Intelligence Research
    Andrew Stewart Caldin
    ZenodoPreprintCC BY 4.0Zenodo
  2. BASE 44 ORDER: Build error syndrome cache table and integrate MD5 lookup into Python agents — E8 Intelligence Research
    Andrew Stewart Caldin
    ZenodoPreprintCC BY 4.0Zenodo
  3. BASE 44 ORDER: Build breakthrough_cache table with composite index, cache-check function, and 24h purge timer — E8 Intelligence Research
    Andrew Stewart Caldin
    ZenodoPreprintCC BY 4.0Zenodo
  4. BASE 44 ORDER: Build breakthrough_cache table with phi_hash, JSONB, BRIN index and 5-min prune timer — E8 Intelligence Research
    Andrew Stewart Caldin
    ZenodoPreprintCC BY 4.0Zenodo
  5. BASE 44 ORDER: Build breakthrough_resonance_cache with MD5 tiered keys, indexes, and LLM-cache lookup — E8 Intelligence Research
    Andrew Stewart Caldin
    ZenodoPreprintCC BY 4.0Zenodo
BibTeX
@misc{caldin2026base,
  title = {{BASE 44 ORDER: Build breakthrough_cache table and Python caching layer — E8 Intelligence Research}},
  author = {Andrew Stewart Caldin},
  howpublished = {Zenodo},
  year = {2026},
  month = oct,
  doi = {10.5281/zenodo.23431427},
  url = {https://zenodo.org/records/23431427},
  note = {CC BY 4.0},
}
RIS
TY  - UNPB
TI  - BASE 44 ORDER: Build breakthrough_cache table and Python caching layer — E8 Intelligence Research
AU  - Andrew Stewart Caldin
PY  - 2026
DA  - 2026/10/17
PB  - Zenodo
DO  - 10.5281/zenodo.23431427
UR  - https://zenodo.org/records/23431427
AB  - Andrew's order (Base 44 console): [SELF-BUILD from enhancement #1285] Create table breakthrough_cache (id bigserial primary key, pair_hash bigint not null, payload jsonb not null, created_at timestamptz default now()); create index on breakthrough_cache(pair_hash); in Python, compute pair_hash = hash(title) ^ hash(content), check cache, else LLM call and insert.  MERLIN: Understood — you want a persistent breakthrough cache keyed by pair_hash (title XOR content hash) to avoid duplicate LLM calls. I'll create the table and index, then implement the Python check-then-insert logic so the swarm only calls the LLM on cache misses. I'll wire it into the breakthrough pipeline now.  Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com
ER  -