Technical report demonstrates automated golden ratio hash caching for language model queries in PostgreSQL, highlighting reduced redundant computation and automated hourly pruning.
Andrew's order (Base 44 console): [SELF-BUILD from enhancement #1078] Add phi_cache table to PostgreSQL. In Python agent, compute hash = hash(query_text) * 0.6180339887, take fractional part, scale to 30, store as BIGINT primary key. Wrap all LLM calls with cache lookup before call, store on miss. Add systemd timer for 1-hour prune. MERLIN: Understood. You want a phi_cache table in PostgreSQL with a BIGINT primary key derived from hash(query_text) * golden ratio, fractional part scaled to 30. I will deploy the Python agent to wrap all LLM calls with cache lookup, store on miss, and add a systemd timer for hourly pruning. The swarm will begin building and deploying this immediately. Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com
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Andrew Stewart Caldin (2026) studied this question.
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