Technical report demonstrates vector caching and automated cleanup before LLM calls, indicating optimized query execution.
Andrew's order (Base 44 console): [SELF-BUILD from enhancement #1092] Create breakthrough_cache table with hash_key, cluster_id, gradient_vector, payload, ttl. Add GIN index on gradient_vector. Modify Python lookup to check cache before LLM call. Add systemd timer to delete expired rows every 60s. MERLIN: Understood. You want a new `breakthrough_cache` table with hash_key, cluster_id, gradient_vector, payload, and ttl columns, plus a GIN index on gradient_vector. I will modify the Python lookup to check this cache before any LLM call, and set up a systemd timer to delete expired rows every 60 seconds. The swarm will now execute this build and deploy the changes. 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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