@sting8k/pi-vcc

Algorithmic conversation compactor for pi - transcript-preserving structured summaries, no LLM calls

Packages

Package details

extension

Install @sting8k/pi-vcc from npm and Pi will load the resources declared by the package manifest.

$ pi install npm:@sting8k/pi-vcc
Package
@sting8k/pi-vcc
Version
0.5.0
Published
Jul 26, 2026
Downloads
1,710/mo · 421/wk
Author
sting8k
License
unknown
Types
extension
Size
15.9 MB
Dependencies
0 dependencies · 2 peers
Pi manifest JSON
{
  "extensions": [
    "./index.ts"
  ]
}

Security note

Pi packages can execute code and influence agent behavior. Review the source before installing third-party packages.

README

pi-vcc

npm

Algorithmic conversation compactor for Pi. No LLM calls — produces a brief transcript via extraction and formatting.

Inspired by VCC (View-oriented Conversation Compiler).

Demo

pi-vcc demo

Why pi-vcc

Pi default pi-vcc
Method LLM-generated summary Algorithmic extraction, no LLM
Determinism Non-deterministic, can hallucinate Same input = same output, always
Token reduction Varies 35-99% on real sessions (higher on longer sessions)
Compaction latency Waits for LLM call 30-470ms, no API calls
History after compaction Gone — agent only sees summary Active lineage searchable via vcc_recall (scope:"all" available)
Repeated compactions Each rewrite risks losing more Sections merge and accumulate
Cost Burns tokens on summarization call Zero — no API calls
Structure Free-form prose Brief transcript + 4 semantic sections

Features

  • No LLM — purely algorithmic, zero extra API cost
  • Brief transcript — chronological conversation flow, each tool call collapsed to a one-liner with (#N) refs, text truncated to keep it compact
  • 5 semantic sections — session goal, files & changes, commits, outstanding context, user preferences
  • Bounded merge — rolling sections re-capped after merge instead of growing unbounded
  • Lossless recallvcc_recall reads raw session JSONL, so active-lineage history stays searchable across compactions
  • Scoped recall — default search is active lineage; use scope:"all" / scope:all to intentionally search across all lineages
  • Regex searchvcc_recall supports regex patterns (hook|inject, fail.*build) and OR-ranked multi-word queries
  • Result ranking — search results ranked by term relevance, rare terms weighted higher than common ones
  • /pi-vcc-recall — slash command to search history directly, results shown as collapsible message and auto-fed to agent as context
  • Fallback cut — still works when Pi core returns nothing to summarize
  • /pi-vcc — manual compaction on demand

Install

pi install npm:@sting8k/pi-vcc

Or from GitHub:

pi install https://github.com/sting8k/pi-vcc

Or try without installing:

pi -e https://github.com/sting8k/pi-vcc

Usage

pi-vcc runs automatically when your context window fills up, or on-demand via commands.

Compaction

  • /pi-vcc — manual compaction, keeps the last 1 user turn by default.
  • /pi-vcc keep:N [prompt] — keep the last N user turns; optional prompt is sent to the agent after compaction.
    • keep:1 = default, keep:0 = compact everything, no tail.
  • By default pi-vcc also handles /compact and auto-threshold compactions. Set overrideDefaultCompaction: false to send those paths back to Pi core.
  • Smart keep: when enabled, pi-vcc auto-boosts keep:1 to a larger N if the tail is small enough (< 5k tokens, capped at 20k).

Compacted message structure

[Session Goal]
- Fix the authentication bug in login flow
- [Scope change]
- Also update the session token refresh logic

[Files And Changes]
- Modified: src/auth/session.ts
- Created: tests/auth-refresh.test.ts

[Commits]
- a1b2c3d: fix(auth): refresh token after password reset

[Outstanding Context]
- lint check still failing on line 42

[User Preferences]
- Prefer Vietnamese responses
- Always run tests before committing

[user]
Fix the auth bug, users can't log in after password reset

[assistant]
Root cause is a missing token refresh after password reset...
* bash "bun test tests/auth.test.ts" (#12)
* edit "src/auth/session.ts" (#14)
* bash "bun test tests/auth.test.ts" (#16)
...(28 earlier lines omitted)

Sections appear only when relevant — a session with no git commits won't have [Commits].

Sections:

Section Description
[Session Goal] Initial goal + scope changes (regex-based extraction)
[Files And Changes] Modified/created files from tool calls (capped, paths trimmed to common root)
[Commits] Git commits made during the session (last 8, hash + first line)
[Outstanding Context] Unresolved items — errors, pending questions
[User Preferences] Regex-extracted from user messages (always, never, prefer...)
Brief transcript Chronological conversation flow — rolling window of ~120 recent lines, tool calls collapsed to one-liners with (#N) refs

Recall (Lossless History)

Pi's default compaction discards old messages permanently. After compaction, the agent only sees the summary.

vcc_recall bypasses this by reading the raw session JSONL file directly, so anything dropped by compaction stays reachable. By default it covers the active conversation lineage, regardless of how many compactions have happened. Use scope:"all" to also reach messages from other branches, such as turns that were edited or retried. Scope is limited to the current session — earlier sessions are not searchable.

Plain keywords work best. Multi-word queries are OR-matched and ranked by relevance; a regex pattern is also accepted, and if it matches nothing the query falls back to keyword search:

vcc_recall({ query: "auth token" })                  // active-lineage OR search, ranked
vcc_recall({ query: "auth token", page: 2 })           // paginated (5 results/page)
vcc_recall({ query: "hook|inject" })                  // regex pattern
vcc_recall({ query: "auth token", scope: "all" })    // search all lineages

Manual slash command:

/pi-vcc-recall auth token scope:all

Pipeline

  1. Calibrate — estimate charsPerToken from preparation.tokensBefore vs actual message chars (falls back to heuristic 4 chars/token)
  2. Smart keep — if keep:1 tail is small (< 5k tokens), boost keep to the largest N whose tail stays ≤ 20k tokens; explicit keep:N is always respected
  3. Build cut — split at the keep boundary; everything before is summarized, the tail stays intact
  4. Normalize — raw Pi messages → uniform blocks (user, assistant, tool_call, tool_result, thinking)
  5. Filter noise — strip system messages, empty blocks
  6. Build sections — extract goal, file paths, commits, outstanding context, preferences
  7. Brief transcript — chronological conversation flow, tool calls collapsed to one-liners, text truncated
  8. Format — render into bracketed sections + transcript
  9. Merge — if previous summary exists: sticky sections dedup, volatile sections replace, transcript rolls

Config

Config lives at ~/.pi/agent/pi-vcc-config.json (auto-scaffolded on first load with safe defaults):

{
  "overrideDefaultCompaction": true,
  "smartKeepTail": true,
  "continueAfterThresholdCompact": true,
  "debug": false
}
  • overrideDefaultCompaction (default true): when true, pi-vcc handles all compaction paths — /pi-vcc, /compact, and auto-threshold/overflow. Set false to restrict pi-vcc to /pi-vcc and let the rest fall through to pi core. Existing config files keep whatever value they already have.
  • smartKeepTail (default true): when true, pi-vcc boosts the default keep:1 to the largest N whose tail stays ≤ 20k tokens, but only when the keep:1 tail is already small (≤ 5k tokens). Explicit keep:N from the user is always respected.
  • continueAfterThresholdCompact (default true): when true, pi-vcc asks the agent to continue after a successful automatic compaction (threshold or overflow), avoiding a UX cliff where the agent stops after compaction instead of continuing the task.
  • debug (default false): when true, each compaction writes detailed info to /tmp/pi-vcc-debug.json — message counts, cut boundary, summary preview, sections, token estimate calibration.

Benchmarks

Local benchmarks / research comparing the ranked brief against the shipped pi-vcc 0.3.18 baseline (recall, fact-density, precision, size) live in benchmarks/README.md.

Related Work

  • VCC — the original transcript-preserving conversation compiler
  • Pi — the AI coding agent this extension is built for

License

MIT