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.
@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; writesmemory_summary.mdand 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 exposesretain,recall, andreflect.
Hindsight quickstart
- Run a Hindsight server (Cloud or
docker run -p 8888:8888 ghcr.io/vectorize-io/hindsight:latest). - Set
memory.backend = "hindsight"andhindsight.apiUrl = "http://localhost:8888"(or your Cloud URL). - Optional environment overrides (env wins over settings):
HINDSIGHT_API_URL,HINDSIGHT_API_TOKEN— connectionHINDSIGHT_BANK_ID,HINDSIGHT_DYNAMIC_BANK_ID,HINDSIGHT_AGENT_NAME— bank addressingHINDSIGHT_AUTO_RECALL,HINDSIGHT_AUTO_RETAIN,HINDSIGHT_RETAIN_MODE— lifecycleHINDSIGHT_RECALL_BUDGET,HINDSIGHT_RECALL_MAX_TOKENS— recall sizingHINDSIGHT_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.