Locomo Segmentation Debugger

LoCoMo Segmentation Debugger

Use crates/event_segmentation/examples/locomo_segmenter.rs as the primary debugger for segmentation work. It emits exactly one Vec<EventSegment> JSON document on stdout; warnings and errors go to stderr.

Environment Note

locomo_segmenter calls the embedding backend through plastmem_ai::embed_many. In Codex's sandbox, requests to the local provider (for example http://localhost:11434) may fail even when the service is healthy on the host. If the run errors at the embedding request step, re-run with escalated permissions instead of assuming the segmenter itself is broken.

Workflow

1. Start with a targeted run on conv-47 when iterating on segmentation logic. It is a strong long-context sample and is usually worth checking first.
2. If the question is about event flattening rather than boundary decisions, add --print-events and inspect stderr.
3. If the question is about JSON shape or a suspicious segment, save stdout to a file and inspect or transform it with the commands in references/commands.md.
4. If a change looks good on conv-47, run every sample before concluding anything about quality. Single-sample wins are not enough.

Rules

• Treat stdout as machine-readable output only. Do not parse diagnostics from it.
• Treat stderr as human diagnostics only. Expect sample metadata, flattened events, warnings, and errors there.
• If embedding requests fail inside the sandbox, request escalation and retry before judging segmentation quality.
• Prefer conv-47 for focused debugging.
• Prefer all samples for regressions, distribution shifts, or “is this actually better?” questions.
• Use pipe or REPL edits only on derived JSON files. The debugger itself reads LoCoMo input and produces fresh segment JSON; it does not consume edited segment JSON back in.

Quick Use

Use these common entry points:

cargo run -q -p plastmem_event_segmentation --example locomo_segmenter -- --sample-id conv-47 > /tmp/conv-47.segments.json

cargo run -q -p plastmem_event_segmentation --example locomo_segmenter -- --sample-id conv-47 --print-events > /tmp/conv-47.segments.json

Then load references/commands.md for:

• single-sample commands
• all-sample sweeps
• node pipe filters for partial JSON inspection
• node REPL snippets for ad hoc mutation or extraction
• pretty-print helpers when jq is unavailable

Source: moeru-ai/plast-mem — distributed by TomeVault.