2 commits

Author	SHA1	Message	Date
ProofOfConcept	82b33c449c	llm: full per-agent usage logging with prompts and responses ... Log every model call to ~/.claude/memory/llm-logs/YYYY-MM-DD.md with full prompt, response, agent type, model, duration, and status. One file per day, markdown formatted for easy reading. Agent types: fact-mine, experience-mine, consolidate, knowledge, digest, enrich, audit. This gives visibility into what each agent is doing and whether to adjust prompts or frequency.	2026-03-05 22:52:08 -05:00
Kent Overstreet	50da0b7b26	digest: split into focused modules, externalize prompts ... digest.rs was 2328 lines containing 6 distinct subsystems. Split into: - llm.rs: shared LLM utilities (call_sonnet, parse_json_response, semantic_keys) - audit.rs: link quality audit with parallel Sonnet batching - enrich.rs: journal enrichment + experience mining - consolidate.rs: consolidation pipeline + apply Externalized all inline prompts to prompts/*.md templates using neuro::load_prompt with {{PLACEHOLDER}} syntax: - daily-digest.md, weekly-digest.md, monthly-digest.md - experience.md, journal-enrich.md, consolidation.md digest.rs retains temporal digest generation (daily/weekly/monthly/auto) and date helpers. ~940 lines, down from 2328. Co-Authored-By: Kent Overstreet <kent.overstreet@linux.dev>	2026-03-03 17:18:18 -05:00