Technical report describes a database caching architecture for LLM pipelines, highlighting automated vacuuming and golden-ratio indexing.
Andrew's order (Base 44 console): [SELF-BUILD from enhancement #1126] Create `breakthrough_cache` table with hash_key BIGINT, frequency_bucket INT, payload JSONB, created_at TIMESTAMP. Implement golden-ratio hash in insert/update triggers. Add Python cache wrapper for LLM calls with 3600s TTL. Set systemd timer for vacuum/prune every 10 min. MERLIN: Understood, Andrew. You want me to create the `breakthrough_cache` table with the specified schema, implement golden-ratio hash in insert/update triggers, add a Python cache wrapper for LLM calls with 3600s TTL, and set a systemd timer to vacuum/prune every 10 minutes. The swarm will now execute this self-build enhancement #1126 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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