Files
oh-my-pi/packages/coding-agent
lee 9e87d432bd fix(tui,utils): remove O(N^2) hot paths when streaming long tool-call args
Long write/edit streams made the TUI stutter or freeze for seconds at a
time (ui.loop-blocked warnings, keystrokes starving while the single JS
thread rebuilt previews). Two compounding quadratic paths:

1. parseStreamingJsonThrottled re-parsed the entire accumulated args
   buffer on a FIXED 256-byte cadence. The comment claimed this bounded
   mid-stream work to O(N), but a constant growth gate still parses an
   N-byte buffer N/256 times at O(N) each: O(N^2) with a smaller
   constant. The gate now scales geometrically (max(256, len/32)), so
   parse points form a geometric progression: O(log N) parses, O(N log N)
   total, with mid-stream snapshots staying within ~3% of the stream.
   Small buffers keep the exact fixed cadence as before.

2. write.ts formatStreamingContent normalized + split('\n') the WHOLE
   accumulated content on every 30Hz reveal tick (renderCall also ran a
   full-payload normalize first): O(N) per tick, O(N^2) per stream, per
   concurrent writer. The collapsed tail-window path now tracks the
   newline count incrementally (append-only resume keyed on the
   component's persistent render-state object via WeakMap) and extracts
   only the tail window with a backward scan: O(delta + preview lines)
   per tick, byte-identical output to the split-based reference. The
   expanded (Ctrl+O) path is unchanged in output and skips its
   split+join round-trip.

Tests: geometric-gate bounds + freshness + small-buffer cadence in
parse-streaming-json-throttled.test.ts; append-growth/reference-
window/CRLF/trailing-newline/restart battery in
write-streaming-incremental.test.ts. Full write/tool-render battery
(56 tests) and ai streaming-args tests (117 tests) pass.
2026-08-08 22:32:26 +01:00
..
2026-08-08 20:57:55 +02:00
2026-08-08 20:57:55 +02:00

@oh-my-pi/pi-coding-agent

Core implementation package for the omp coding agent in the oh-my-pi monorepo.

For installation, setup, provider configuration, model roles, slash commands, and full CLI reference, see:

Package-specific references:

Memory backends

The agent supports three mutually-exclusive memory backends, selected via the memory.backend setting (Settings → Memory tab, or ~/.omp/config.yml):

  • off (default) — no memory subsystem runs.
  • local — existing rollout-summarisation pipeline; writes memory_summary.md and consolidated artifacts under the agent dir.
  • hindsight — talks to a Hindsight server (Cloud or self-hosted Docker), retains transcripts every Nth user turn, recalls memories on the first turn of a session, and exposes retain, recall, and reflect.

Hindsight quickstart

  1. Run a Hindsight server (Cloud or docker run -p 8888:8888 ghcr.io/vectorize-io/hindsight:latest).
  2. Set memory.backend = "hindsight" and hindsight.apiUrl = "http://localhost:8888" (or your Cloud URL).
  3. Optional environment overrides (env wins over settings):
    • HINDSIGHT_API_URL, HINDSIGHT_API_TOKEN — connection
    • HINDSIGHT_BANK_ID, HINDSIGHT_DYNAMIC_BANK_ID, HINDSIGHT_AGENT_NAME — bank addressing
    • HINDSIGHT_AUTO_RECALL, HINDSIGHT_AUTO_RETAIN, HINDSIGHT_RETAIN_MODE — lifecycle
    • HINDSIGHT_RECALL_BUDGET, HINDSIGHT_RECALL_MAX_TOKENS — recall sizing
    • HINDSIGHT_BANK_MISSION, HINDSIGHT_DEBUG

Switching backends mid-session immediately replaces the live backend, memory tools, listeners, and system-prompt context. Existing users with memories.enabled = true|false are migrated to memory.backend = "local"|"off" exactly once on first launch; afterward, memory.backend is the sole runtime selector.