forked from kent/consciousness
ca62692a28
Phase 1 sends a large node with its neighbor communities to the LLM
and gets back a JSON split plan (child keys, descriptions, section
hints). Phase 2 fires one extraction call per child in parallel —
each gets the full parent content and extracts/reorganizes just its
portion.
This handles arbitrarily large nodes because output is always
proportional to one child, not the whole parent. Tested on the kent
node (19K chars → 3 children totaling 20K chars with clean topic
separation).
New files:
prompts/split-plan.md — phase 1 planning prompt
prompts/split-extract.md — phase 2 extraction prompt
prompts/split.md — original single-phase (kept for reference)
Modified:
agents/prompts.rs — split_candidates(), split_plan_prompt(),
split_extract_prompt(), agent_prompt "split" arm
agents/daemon.rs — job_split_agent() two-phase implementation,
RPC dispatch for "split" agent type
tui.rs — added "split" to AGENT_TYPES
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| .. | ||
| agents | ||
| bin | ||
| neuro | ||
| store | ||
| config.rs | ||
| graph.rs | ||
| lib.rs | ||
| lookups.rs | ||
| main.rs | ||
| migrate.rs | ||
| query.rs | ||
| search.rs | ||
| similarity.rs | ||
| spectral.rs | ||
| transcript.rs | ||
| tui.rs | ||
| util.rs | ||