End-to-end token optimizer for seven AI CLI hosts — Claude Code, GitHub Copilot CLI, OpenCode, Gemini CLI, OpenAI Codex CLI, Pi, and Hermes. Compresses bash output up to 95%, collapses redundant calls, preserves exact identifiers through every summary, refuses net-loss compressions, and injects a terse prompt persona — automatically, with zero new runtime dependencies.
Three methods — all produce the same result (binary at ~/.claude/squeez/bin/squeez, hooks registered).
curl -fsSL https://raw.githubusercontent.com/claudioemmanuel/squeez/main/install.sh | sh
Windows: requires Git Bash. Run the command above inside Git Bash — PowerShell/CMD are not supported.
# Install globally
npm install -g squeez
# Or run once without installing
npx squeez
Downloads the correct pre-built binary for your platform (macOS universal, Linux x86_64/aarch64, Windows x86_64). Requires Node ≥ 16.
cargo install squeez
Builds from crates.io. Requires Rust stable. On Windows you also need MSVC C++ Build Tools.
squeez setup auto-detects every CLI present on disk and registers the hooks. squeez uninstall removes them. Session data and config.ini are preserved so reinstall is lossless.
| Host | Memory file | Bash wrap | Session memory | Budget inject (Read/Grep) | Notes |
|---|---|---|---|---|---|
| Claude Code | ~/.claude/CLAUDE.md | ✅ native | ✅ native | ✅ native | Restart Claude Code to pick up hooks |
| Copilot CLI | ~/.copilot/copilot-instructions.md | ✅ native | ✅ native | ✅ native | Restart Copilot CLI after setup |
| OpenCode | ~/.config/opencode/AGENTS.md | ✅ native | ✅ native | ✅ native | Plugin at ~/.config/opencode/plugins/squeez.js; MCP tool calls skip hooks (upstream sst/opencode#2319) |
| Gemini CLI | ~/.gemini/GEMINI.md | ✅ native | ✅ native | 🟡 soft via GEMINI.md | BeforeTool rewrite schema pending upstream docs (google-gemini/gemini-cli#25629) |
| Codex CLI | ~/.codex/AGENTS.md | ✅ native | ✅ native | 🟡 soft via AGENTS.md | apply_patch hooks landed in 0.123.0 (#18391); updatedInput + read_file/grep hook surface still pending (openai/codex#18491) |
| Pi | ~/.pi/agent/skills/squeez/SKILL.md | ✅ native | ✅ via skill | ✅ native | TypeScript extension at ~/.pi/agent/extensions/squeez/index.ts; restart Pi after setup |
| Hermes | ~/.hermes/profiles/default/SOUL.md | ✅ native | ✅ native | ❌ no budget surface | Python plugin (__init__.py + plugin.yaml) auto-discovered by Hermes; detected via ~/.hermes/ |
squeez setup # register into every detected host
squeez setup --host=<slug> # register into one host
squeez uninstall # remove squeez entries from every detected host
squeez uninstall --host=<slug>
Slugs: claude-code / copilot / opencode / gemini / codex / pi / hermes.
After install, restart the CLI you use to pick up the new hooks.
squeez uninstall # preserves session data + config.ini
bash ~/.claude/squeez/uninstall.sh # (legacy) full wipe, if the script exists
squeez update # download latest binary + verify SHA256
squeez update --check # check for update without installing
squeez update --insecure # skip checksum (not recommended)
| Feature | Description |
|---|---|
| Bash compression | Intercepts every command via PreToolUse hook, applies smart filter → dedup → log-template → relevance-truncation. Up to 95% reduction. (Per-dir grouping stays reserved for git status, where the path list is the payload.) |
| Reversible compression | When a large output is compressed, the verbatim original is stashed in a content-addressed blob and a [squeez: … call squeez_retrieve with key="<id>"] marker is emitted. The model recovers any dropped detail via the squeez_retrieve MCP tool — so compression can be aggressive without losing information. TTL-pruned, zero-dep. |
| Log-template compaction | Collapses near-identical log lines that differ only by a timestamp, id, hex hash, or 1ms-style value into one [×N] <template> line — what dedup (exact-only) leaves on the table. |
| Relevance-aware truncation | When the generic handler must truncate, it keeps the highest-relevance lines (error/signal words + terms drawn from the command) instead of a blind head — so a buried error survives. |
| Context engine | Cross-call redundancy with two paths: exact-hash match (FNV-1a, fast) and fuzzy trigram-shingle Jaccard ≥0.85 (whitespace, timestamps, single-line edits no longer defeat dedup). |
| Summarize fallback | Outputs exceeding 500 lines are replaced with a ≤40-line dense summary (top errors, files, test result, tail). Benign outputs get 2× the threshold so successful builds stay verbatim. |
| Identifier factsheet | Exact identifiers in the region a summary drops — git SHAs, UUIDs, ticket codes, versions, large ids — ride along in every dense summary (ids_preserved: / "ids":[...]). Deterministic, budget-capped (16 facts / 256 chars), so lossy summarization never silently loses a hash or ticket number. |
| Net-win gate | The # squeez header itself costs ~15–25 tokens. When applied compression saves less than net_win_min_tokens (default 24), the call becomes a verbatim passthrough with zero savings recorded — no net-loss invocations. |
| Adaptive intensity | Truly adaptive: Full (×0.6 limits) below 80% of token budget, Ultra (×0.3) above. Used to be always-Ultra; now actually responds to session pressure. |
| MCP server | squeez mcp runs a JSON-RPC 2.0 server over stdio exposing 17 tools (16 read-only session-memory queries + squeez_retrieve to expand a compressed output) so any MCP-compatible LLM can query session memory directly. Hand-rolled, no mcp.server dependency. |
Config CLI + /squeez | squeez config get/set/list/reset/path reads and writes config.ini safely (schema validation, comment-preserving writes). squeez setup installs a /squeez slash command that drives it in natural language from inside the session. |
| Post-compact re-injection | After /compact, the PostCompact hook re-injects squeez's tracked session state (recent files, error snippets, git refs, retrievable blob ids) as additionalContext — so concrete state survives compaction instead of being re-discovered. |
| Bash-wrap safety | Risky commands (rm -rf, git push --force, npm publish, … — configurable bash_risk_patterns) and bypassed commands run unwrapped, so the host's native permission rules evaluate the original command. wrap_bash = false disables wrapping entirely. See SECURITY.md. |
| Token estimate | Compression-timing decisions use a content-class calibrated estimate: output is classified Dense/Prose/Mixed and counted at chars/2.0, chars/3.7, or the code- and CJK-aware char-class estimator — dense tool output really runs ~1.9 chars/token in production, not chars/4. Flat legacy path stays available via class_density = false. |
| Auto-teach payload | squeez protocol (or the squeez_protocol MCP tool) prints a 2.4 KB self-describing payload — the LLM learns squeez's markers and protocol on first call. |
| Caveman persona | Injects an ultra-terse prompt at session start so the model responds with fewer tokens. |
| ADHD focus mode | focus = adhd shapes output structure rather than length: next action first, numbered steps, one-line state restatement, advisories capped at 5, squeez doctor sorted failures-first with a single closing command. Stacks with any persona. |
| Memory-file compression | squeez compress-md compresses CLAUDE.md / AGENTS.md / copilot-instructions.md in-place — pure Rust, zero LLM. i18n-aware: set lang = pt (or --lang pt) for pt-BR article/filler/phrase dropping and Unicode-correct matching. |
| Session memory | On SessionStart, injects a structured summary of the previous session: files investigated, learned facts (errors + git events), completed work (builds, test passes), and next steps (unresolved errors, failing tests). Summaries carry temporal validity (valid_from/valid_to). |
| Token tracking | Every PostToolUse result (Bash, Read, Grep, Glob, Monitor, SubagentStop) feeds a SessionContext so squeez knows what the agent has already seen. Read/Grep/Glob/Monitor outputs are also rewritten via updatedToolOutput (Claude Code v2.1.119+) when content is redundant or oversized. |
| Token economy | Sub-agent cost tracking (~200K tokens/spawn), burn rate prediction ([budget: ~N calls left]), session efficiency scoring, tool result size budgets. |
| Auto-calibration | squeez calibrate runs benchmarks on install and generates an optimized config.ini (aggressive / balanced / conservative profiles). |
There are now several token-reduction tools targeting AI coding CLIs. They make different bets — the right one depends on what you care about: zero deps, lossless filtering, structural reformatting, or task-conditioned ML.
| Tool | Approach | Hosts | Deps | Key wins | Trade-off |
|---|---|---|---|---|---|
| squeez (this project) | Hook + filter pipeline + context engine (MinHash dedup, log-template, relevance truncation, summarize + identifier factsheet, adaptive intensity, net-win gate) + reversible compression (retrieve) + MCP server | Claude Code, Copilot CLI, OpenCode, Gemini CLI, Codex CLI, Pi, Hermes | Zero runtime deps (libc only on Unix) | Up to 95% on bash; cross-call dedup; reversible squeez_retrieve; exact ids (SHAs/UUIDs/tickets) survive every summary; signature-mode for source files; TOON re-encoder (incl. nested JSON); 17 MCP tools; post-compact state re-injection; cache-aware savings proof; enterprise (Bedrock/Vertex) USD-saved estimate | Heuristic, not ML — no per-task understanding |
| chopratejas/headroom | Library + HTTP proxy + MCP; compresses tool output, logs, RAG chunks and conversation history at the API layer with real tokenizers and ML (Kompress/Magika) | Any (OpenAI/Anthropic/Bedrock/Vertex via proxy) | Python + Rust; PyTorch/HF models | 60-95%; reaches conversation history (the biggest sink) via the proxy; reversible CCR; image compression | Heavier (proxy + ML deps); not a zero-dep drop-in hook. squeez adopts its reversible-retrieve and post-compact ideas within the zero-dep hook model. |
| teamchong/pxpipe | Local API proxy that renders bulky request context (system prompt, tool docs, old history, big tool_results) as dense PNG images — image tokens are priced by pixel area, so dense text packs ~3.1 chars/image-token vs ~1 as text | Claude Code (/v1/messages), Codex (/v1/responses) | Node/pnpm; canvas at build time | ~59–70% end-to-end bill cut on Fable 5 traffic; reaches surfaces hooks can't (system prompt, tool docs, history); rigorous per-request count_tokens counterfactual measurement | Lossy: exact-string recall from images fails on most models (0/15 verbatim on Opus 4.8; silent confabulation, not errors) — default scope is Fable 5 only. Complementary to squeez, not competing: squeez compresses losslessly at the hook layer before content enters context; pxpipe cheapens what remains on the wire. They stack — squeez v1.35.0's factsheet, class-density and cache-aware accounting are ported from its measurement discipline. |
| rtk-ai/rtk | Hook proxy that rewrites bash commands (git status → rtk git status), then compresses 100+ command outputs | Claude Code, Cursor | Zero deps (Rust) | 60-90% on 100+ commands; rtk read -l aggressive for signature mode | rtk#582: aggressive rewriting can increase total cost by 18% because Claude emits +50% more output tokens to compensate for stripped context. squeez ships a guard against this regime. |
| KRLabsOrg/squeez | Task-conditioned ML (Qwen 2B / ModernBERT 150M) — pipe tool output + task description, get back only relevant lines | Any (CLI tool) | Python, PyTorch / vLLM server | 92% compression, F1 0.80; task-aware (same log slices kept differently per query) | Requires running an LLM locally; not zero-dep. Same project name, different design. |
| ojuschugh1/sqz | CLI context compressor | Any | Python | Single-command compression | Lower coverage than the others. |
| LLMLingua-2 (Microsoft) | Neural prompt compressor that removes 50-80% of a prompt while preserving meaning | API / library | Python, transformers | Strong on long static prompts | Latency + model dep; not a CLI hook. |
| TOON | Schema-aware JSON replacement (users[100]{id,name,role}:) — ~40% fewer tokens on arrays of uniform objects | Library, not a CLI | TypeScript SDK | Lossless on the right shape; squeez embeds a TOON encoder for gh/kubectl/aws/gcloud/az JSON outputs | Only helps on uniform JSON shapes. |
If you want a CLI hook that just works, never needs a Python runtime, and never silently inflates your output tokens, squeez is the safe default. If you can run an LLM next to your shell and want task-aware filtering, KRLabsOrg/squeez is worth a look as a complement. The two squeez projects share a name but are independent.
squeez optimizes what it can reach — the surfaces exposed by each host's hook API. It cannot fix token leaks outside those surfaces.
| Surface | How | When | Supported hosts |
|---|---|---|---|
| Bash stdout/stderr | PreToolUse wraps command w/ the filter pipeline (smart-filter → dedup → log-template → relevance-truncation; original stashed for squeez_retrieve). Risky/bypassed commands run unwrapped under native permission rules. | Every Bash invocation | all 5 |
| Read / Grep / Glob limits | PreToolUse injects limit / head_limit per read_max_lines / grep_max_results | Every Read/Grep/Glob call | Claude Code, Copilot, OpenCode (hard); Gemini + Codex soft via GEMINI.md / AGENTS.md |
| Read / Grep / Glob / Monitor output rewrite | PostToolUse runs squeez compress-output and returns updatedToolOutput when content is redundant or oversized | Claude Code v2.1.119+ | Claude Code |
| Agent / Task prompt | PreToolUse compresses tool_input.prompt (markdown-aware, via compress-prompt) | When prompt > agent_prompt_max_tokens | Claude Code (post–v1.8.0) |
| Sub-agent output | SubagentStop hook feeds last_assistant_message into SessionContext for cross-call dedup | On every sub-agent completion | Claude Code |
| Compaction lifecycle | PreCompact logs the event; PostCompact re-injects tracked session state (files, errors, git refs, retrievable blob ids) as additionalContext so it survives compaction | On context compaction | Claude Code |
| Session memory | SessionStart injects prior session summary + file-access cache | Once per session start | all 5 |
| Markdown viewing | Bash handler routes .md reads through compress-md when auto_compress_md=true | Viewer commands on .md paths | all 5 |
Agent/Task returned output. No hook API surface exists to rewrite an Agent's return value. PostToolUse updatedToolOutput (Claude Code v2.1.119+) covers built-in tools (Read, Grep, Glob, Monitor) but not the Agent/Task result. Workaround: keep agent prompts compact (squeez compresses at dispatch time via PreToolUse), and use squeez_agent_costs MCP tool to monitor spawn overhead.
Skills & slash-command files. Claude Code loads these into the system prompt before any hook fires. squeez has no visibility into session-start system prompt construction.
User's top-level prompt. squeez runs per tool call, not on user turns.
Tools whose host doesn't expose PreToolUse / BeforeTool. E.g. Codex apply_patch hooks landed in 0.123.0, but updatedInput is explicitly unsupported and read_file/grep still have no hook surface (openai/codex#18491) — so Read/Grep caps for Codex are soft hints in AGENTS.md, not hard injections.
[squeez: identical to Skill #N]. Keyed by body hash in a session-long store (not the 16-call window), so it fires even when injections recur far apart[budget: ~N calls left] nudges so the user changes behavior before context pressure spikessqueez cannot automate these, but you can:
squeez_agent_costs to track, then refactor tasks to batch worksqueez compress-md --ultra to drop abbreviations and fillerMeasured on macOS (Apple Silicon). Token count = chars / 4 (matches Claude's ~4 chars/token). Run squeez benchmark to reproduce.
| Scenario | Before | After | Reduction | Latency |
|---|---|---|---|---|
curl_json | 18,904 tk | 36 tk | -100% | 1.0 ms |
az_json | 23,479 tk | 74 tk | -100% | 483 µs |
summarize_huge | 82,257 tk | 467 tk | -99% | 81.3 ms |
xcode_build | 1,881 tk | 17 tk | -99% | 76 µs |
go_test_ndjson_failures | 7,176 tk | 106 tk | -99% | 862 µs |
read_reread_distant | 717 tk | 17 tk | -98% | 7.6 ms |
repetitive_output | 4,692 tk | 134 tk | -97% | 228 µs |
pytest_failures | 3,402 tk | 108 tk | -97% | 128 µs |
jest_json_failures | 5,643 tk | 218 tk | -96% | 568 µs |
ps_aux | 40,373 tk | 2,338 tk | -94% | 980 µs |
cargo_test_failures | 1,934 tk | 157 tk | -92% | 63 µs |
git_log_200 | 2,692 tk | 275 tk | -90% | 222 µs |
tsc_errors | 731 tk | 101 tk | -86% | 40 µs |
eslint_json_failures | 1,553 tk | 233 tk | -85% | 230 µs |
high_context_adaptive | 4,418 tk | 729 tk | -84% | 1.4 ms |
cargo_build_noisy | 2,106 tk | 439 tk | -79% | 259 µs |
docker_logs | 665 tk | 181 tk | -73% | 51 µs |
curl_html_response | 2,181 tk | 626 tk | -71% | 80 µs |
git_status | 50 tk | 16 tk | -68% | 12 µs |
ruff_json_failures | 1,261 tk | 494 tk | -61% | 216 µs |
verbose_app_log | 4,957 tk | 1,978 tk | -60% | 623 µs |
npm_install | 524 tk | 218 tk | -58% | 53 µs |
crosscall_redundancy_3x | 486 tk | 222 tk | -54% | 52.1 ms |
ls_la | 1,782 tk | 872 tk | -51% | 46 µs |
agent_directory_output | 3,348 tk | 1,937 tk | -42% | 734 µs |
env_dump | 441 tk | 287 tk | -35% | 27 µs |
agent_heavy | 2,306 tk | 1,514 tk | -34% | 544 µs |
git_copilot | 640 tk | 421 tk | -34% | 92 µs |
find_deep | 424 tk | 279 tk | -34% | 27 µs |
adversarial_tiny_output | 4 tk | 3 tk | -25% | 7 µs |
md_prose | 187 tk | 142 tk | -24% | 193 µs |
md_claude_md | 316 tk | 270 tk | -15% | 302 µs |
claude_md_overhead | 717 tk | 635 tk | -11% | 27 µs |
next_build_output | 902 tk | 884 tk | -2% | 81 µs |
git_diff | 502 tk | 497 tk | -1% | 34 µs |
jest_failures | 451 tk | 448 tk | -1% | 47 µs |
state_first_simulation | 182 tk | 181 tk | -1% | 10 µs |
kubectl_pods | 1,513 tk | 1,513 tk | -0% | 54 µs |
adversarial_dense_json | 485 tk | 485 tk | -0% | 17 µs |
adversarial_reread_tiny | 4 tk | 4 tk | -0% | 5.0 ms |
| Metric | Value |
|---|---|
| Total token reduction | 91.4% — 226,286 tk → 19,556 tk |
| Bash output | -88.9% |
| Markdown / context files | -18.1% |
| Wrap / cross-call engine | -99.2% |
| Quality (signal terms preserved) | 40 / 40 pass |
| Latency p50 (filter mode) | 3.9 ms |
| Latency p95 (incl. wrap/summarize) | 52 ms |
| Usage | Baseline / month | Saved / month |
|---|---|---|
| 100 calls / day | $18.00 | $16.44 (91%) |
| 1,000 calls / day | $180.00 | $164.45 (91%) |
| 10,000 calls / day | $1800.00 | $1644.48 (91%) |
The table above uses chars / 4 for reproducibility (no vocab, no deps). A fair
objection: "that's a made-up unit — show me the reduction under a real byte-pair
tokenizer." So bench/verify_tokens.py re-tokenizes every fixture — the raw
output and the squeez-compressed output — with cl100k_base (the real GPT-4
family BPE tokenizer, via tiktoken) and compares against chars/4:
| Model | Aggregate reduction (22 filter/markdown fixtures) |
|---|---|
Real BPE (cl100k_base) | 83.5% — 112,557 tk → 18,590 tk |
chars / 4 (benchmark unit) | 83.0% |
| Divergence | 0.5 pts → the reported reduction is not a token-model artifact |
Reduction ratios are near model-invariant, so a real tokenizer confirms the claim rather than inflating it. Reproduce end-to-end:
cargo build --release
pip install tiktoken
python3 bench/verify_tokens.py # human-readable table
python3 bench/verify_tokens.py --json # machine-readable (see bench/verify_tokens.json)
Nothing is cherry-picked: fixtures that squeez can't help (e.g. kubectl_pods,
a 61-line output below the truncation threshold) stay in the aggregate at 0%.
squeez wrap <cmd> # compress a command's output end-to-end
squeez filter <hint> # compress stdin (piped usage)
squeez config <get|set|list|reset|path> # inspect/change config.ini (also via the /squeez skill)
squeez compress-md [--ultra] [--dry-run] [--all] <file>... # compress markdown files
squeez benchmark [--json] [--output <file>] [--scenario <name>] [--iterations <n>]
squeez mcp # JSON-RPC 2.0 MCP server over stdin/stdout
squeez protocol # print the auto-teach payload (markers + protocol)
squeez update [--check] [--insecure] # self-update
squeez init [--copilot] # session-start hook (called by hook, not manually)
squeez calibrate # auto-tune config from benchmarks
squeez budget-params <tool> # output JSON budget patch for tool
squeez compact-summary # PostCompact hook: re-inject session state (called by hook)
squeez --version
--no-squeez git log --all --graph
Prefix any command with --no-squeez to run it raw without squeez touching it.
squeez wrapRuns a command, compresses its output, and prints a savings header:
# squeez [git log] 2692→289 tokens (-89%) 0.2ms [adaptive: Ultra]
squeez filterReads from stdin. Use for manual pipelines:
git log --oneline | squeez filter git
docker logs mycontainer 2>&1 | squeez filter docker
squeez compress-mdPure-Rust, zero-LLM compressor for markdown files. Preserves code blocks, inline code, URLs, headings, file paths, and tables. Compresses prose only. Always writes a backup at <stem>.original.md.
squeez compress-md CLAUDE.md # Full mode (English default)
squeez compress-md --ultra CLAUDE.md # + abbreviations (with→w/, fn, cfg, etc.)
squeez compress-md --lang pt CLAUDE.md # pt-BR locale (articles, fillers, phrases)
squeez compress-md --dry-run CLAUDE.md # preview, no write
squeez compress-md --all # compress all known locations automatically
When auto_compress_md = true (default), squeez init runs --all silently on every session start.
squeez benchmarkReproducible measurement of token reduction, cost, latency, and quality across 19 scenarios:
squeez benchmark # human-readable report
squeez benchmark --json # JSON to stdout
squeez benchmark --output report.json # save JSON report
squeez benchmark --scenario git # run only git scenarios
squeez benchmark --iterations 5 # more iterations per scenario
squeez benchmark --list # list all scenarios
Quality is scored by checking that signal terms (words from error/warning/failed lines in the baseline) survive compression. 19/19 pass at ≥ 50% threshold.
squeez benchmark --efficiency-proof additionally reports cache-aware effective costs: list-price ratios (input ×1.0, cache write ×1.25, cache read ×0.1, output ×5) applied identically to both sides of every row under the same cache state — so the provider's caching discount is never miscounted as compression savings. Negative savings are representable, never floored; JSON output is schema_version: 2. Savings are reported per compressed slice; end-to-end depends on workload.
squeez mcpRuns a Model Context Protocol JSON-RPC 2.0 server over stdin/stdout. Hand-rolled, no mcp.server / fastmcp dependency — keeps the libc-only constraint intact. Wire it into Claude Code:
claude mcp add squeez -- /path/to/squeez mcp
Thirteen read-only tools become available to the LLM:
| Tool | Returns |
|---|---|
squeez_recent_calls | Last N bash invocations with hash + length + cmd snippet — check before re-running |
squeez_seen_files | Files this session has touched, with access type (Read/Write/Created/Deleted), sorted by recency |
squeez_seen_errors | Distinct error fingerprints observed this session (FNV-1a hashes of normalized errors) |
squeez_seen_error_details | Error fingerprints with the first 128 chars of message text — find what the error was |
squeez_session_summary | Token accounting + call counts (tokens_bash / tokens_read / tokens_other / seen_files / seen_errors / seen_git_refs) |
squeez_session_stats | Dedup hit counts (exact + fuzzy), summarize triggers, Ultra-mode calls, tokens saved per category |
squeez_agent_costs | Sub-agent usage: spawn count, cumulative estimated tokens, per-call breakdown |
squeez_session_efficiency | Session efficiency scores: compression ratio, tool choice, context reuse, budget conservation (basis points) |
squeez_prior_summaries | Last N finalized prior-session summaries with structured fields: investigated / learned / completed / next_steps |
squeez_search_history | Full-text search across all session summaries — find when you last saw an error or touched a file |
squeez_file_history | Sessions where a given file path was touched, with token-savings and commit status |
squeez_session_detail | Full structured view of a past session by date: calls, files, errors, git events, test summary |
squeez_protocol | Auto-teach payload — read once per session to learn squeez's markers + memory protocol |
All read-only. Backed by SessionContext::load(), memory::read_last_n(), and memory::search_history(). No side effects.
squeez protocolPrints the auto-teach payload — a 2.4 KB self-describing block covering:
[squeez: ...] markers, when to call the MCP tools)# squeez [...], [squeez: identical to ...], [squeez: ~95% similar to ...], squeez:summary, # squeez hint:)Same content the MCP squeez_protocol tool returns. Pipe it into a system prompt or paste it into a one-shot session that doesn't have the MCP server connected.
Optional config file — all fields have defaults, none are required.
| Platform | Config path |
|---|---|
| Claude Code / default | ~/.claude/squeez/config.ini |
| Copilot CLI | ~/.copilot/squeez/config.ini |
# ── Compression ────────────────────────────────────────────────
max_lines = 200 # generic truncation limit
dedup_min = 3 # collapse lines appearing ≥N times
git_log_max_commits = 20
git_diff_max_lines = 150
docker_logs_max_lines = 100
find_max_results = 50
bypass = docker exec, psql, mysql, ssh # never compress these
# ── Context engine ─────────────────────────────────────────────
adaptive_intensity = true # truly adaptive: Full <80% budget, Ultra ≥80%
context_cache_enabled = true # track seen files/errors across calls
redundancy_cache_enabled = true # collapse identical OR fuzzy-similar recent outputs
read_dedup_session_long = true # also collapse a re-read of an unchanged file past the 16-call window
summarize_threshold_lines = 500 # outputs above this trigger summarize fallback (×2 if benign)
compact_threshold_tokens = 120000 # session token budget — drives adaptive intensity
# ── Session memory ─────────────────────────────────────────────
memory_retention_days = 30
# ── Output / persona ───────────────────────────────────────────
persona = ultra # off | lite | full | ultra
focus = off # off | adhd — output *structure*, orthogonal to persona
auto_compress_md = true # run compress-md on every session start
lang = en # compress-md locale: en | pt (pt-BR) — more languages extensible
# ── Advanced tuning (rarely needed) ───────────────────────────
max_call_log = 32 # rolling call log depth (also caps redundancy window)
recent_window = 16 # how many recent calls are eligible for redundancy lookup
similarity_threshold = 0.85 # Jaccard threshold for fuzzy dedup (0.0–1.0)
ultra_trigger_pct = 0.80 # fraction of context budget at which Full → Ultra
class_density = true # content-class token estimate: dense chars/2.0, prose chars/3.7 (false = legacy flat path)
net_win_min_tokens = 24 # skip compression + header when it saves less than this (0 = gate off)
mcp_prior_summaries_default = 5 # default n for squeez_prior_summaries
mcp_recent_calls_default = 10 # default n for squeez_recent_calls
# ── Token economy ─────────────────────────────────────────────
agent_warn_threshold_pct = 0.50 # warn when agent cost > 50% of budget
burn_rate_warn_calls = 20 # warn when < 20 calls remaining
agent_spawn_cost = 200000 # estimated tokens per Agent/Task spawn
read_max_lines = 0 # max lines injected into Read tool_input (0 = off)
grep_max_results = 0 # max results injected into Grep tool_input (0 = off)
# ── Auto-curation nudges ──────────────────────────────────────
nudge_enabled = true # emit [squeez: hint ...] markers on recurring patterns
nudge_error_threshold = 3 # fingerprint repeats before a nudge fires
nudge_file_mod_threshold = 5 # writes/creates to same path before nudge fires
nudge_cmd_repeat_threshold = 4 # expensive-command repeats before nudge fires
# ── Continuous handler calibration ────────────────────────────
handler_stats_enabled = true # accumulate per-handler savings across sessions
When adaptive_intensity = true (default), squeez actually adapts to session pressure rather than always running Ultra:
| Used / budget | Tier | Scaling |
|---|---|---|
< 80% | Full | ×0.6 limits, dedup_min ×0.66 (floor 2) |
≥ 80% | Ultra | ×0.3 limits, dedup_min ×0.5 (floor 2) |
adaptive_intensity = false | Lite | passthrough — no scaling |
Floors are enforced so we never reduce to zero: max_lines ≥ 20, git_diff_max_lines ≥ 20, dedup_min ≥ 2, summarize_threshold_lines ≥ 50.
The active level is shown in every bash header: [adaptive: Full] or [adaptive: Ultra].
Pre-0.3 squeez was effectively always-Ultra. The new behavior preserves more verbatim text in the common case (empty / mid-session) and only graduates to aggressive compression when the context budget is genuinely under pressure.
Three intensity levels (lite, full, ultra) and off. Default is ultra. The persona prompt is injected into:
SessionStart)<!-- squeez:start -->…<!-- squeez:end --> block in ~/.copilot/copilot-instructions.md for Copilot CLIfocus = adhd is a second, independent axis. Persona decides how terse the
prose is; focus decides how it is ordered. They stack — persona = ultra plus
focus = adhd keeps maximum compression while forcing action-first structure.
Turning it on changes three surfaces:
lang) rides
alongside the persona block: lead with the next action, number multi-step
work, restate state in one line, concrete time estimates, cap lists at 5, no
preamble or closing pleasantries.[squeez: …] bursts are capped at 5 per command
with an honest +N more advisories suppressed tail, and squeez doctor
sorts failures first and ends with one command to run.squeez config set focus adhd # then `squeez init` to rewrite the memory block
squeez config set focus off # back to the default ordering
The ruleset is adapted from the MIT-licensed i-have-adhd skill by ayghri.
Each bash command passes through four strategies in order:
dedup_min times are collapsed to one entry annotated [×N]dir/ N modified [squeez grouped]Head (keep first N) or Tail (keep last N) depending on handler; truncated portion noted| Category | Commands |
|---|---|
| Git | git |
| Docker / containers | docker, docker-compose, podman |
| Package managers | npm, pnpm, bun, yarn |
| Build systems | make, cmake, gradle, mvn, xcodebuild, cargo (build), next build/dev/start |
| Test runners | cargo test, jest, vitest, pytest, nextest, playwright, bun test |
| TypeScript / linters | tsc, eslint, biome |
| Cloud CLIs | kubectl, gh, aws, gcloud, az, wrangler |
| Databases | psql, prisma, mysql, drizzle-kit |
| Filesystem | find, ls, du, ps, env, lsof, netstat |
| JSON / YAML / IaC | jq, yq, terraform, tofu, helm, pulumi |
| Text processing | grep, rg, awk, sed |
| Network | curl, wget |
| Runtimes | node, python, ruby |
| Generic fallback | everything else |
Six hooks work together automatically after install on Claude Code (three on Copilot CLI):
PreToolUse — rewrites safe Bash calls: git status → squeez wrap git status (risky/bypassed commands pass through to native permission rules); injects Read/Grep/Glob limits; compresses Agent/Task promptsSessionStart — runs squeez init: finalizes previous session into a memory summary, injects the persona promptPostToolUse — tracks every tool result; rewrites Read/Grep/Glob/Monitor output via updatedToolOutput when content is redundant or oversized (Claude Code v2.1.119+)SubagentStop (Claude Code only) — feeds last_assistant_message into SessionContext so the parent agent can dedup against what the sub-agent sawPreCompact (Claude Code only) — logs compaction events for session efficiency metrics; allows compaction to proceedPostCompact (Claude Code only) — re-injects tracked session state (files, errors, git refs, retrievable blob ids) as additionalContext so it survives compaction (squeez compact-summary)Two-path dedup across the last 16 calls:
Exact match — FNV-1a hash of the compressed output. When a subsequent call produces the same bytes, it collapses to:
[squeez: identical to 515ba5b2 at bash#35 — re-run with --no-squeez]
Fuzzy match — bottom-k MinHash over whitespace-token trigrams (k=96, Jaccard ≥ 0.85, length-ratio guard ≥ 0.80). Survives timestamp changes, added/removed blank lines, and single-line edits. Collapses to:
[squeez: ~92% similar to 515ba5b2 at bash#35 — re-run with --no-squeez]
Minimum 6 lines to attempt fuzzy match (below that, exact-only).
When raw output exceeds summarize_threshold_lines (default 500), the full pipeline is bypassed and replaced with a ≤40-line dense summary:
squeez:summary cmd=docker logs app
total_lines=5003
top_errors:
- error: connection refused on tcp://10.0.0.1:5432
top_files:
- /var/log/app/error.log
test_summary=FAILED: 3 of 248
ids_preserved:
- 3f2ec81ea3e4ce24
- 550e8400-e29b-41d4-a716-446655440000
- PROJ-1482
tail_preserved=20
[last 20 lines verbatim...]
Identifier factsheet: the ids_preserved: block carries exact identifiers found in the region the summary drops — git SHAs / hex ids (≥7 chars with a digit), UUIDs, ticket codes, versions, and large integers — so the most dangerous failure mode of lossy summarization (a silently lost hash) can't happen. Extraction is deterministic and budget-capped at 16 facts / 256 chars; bulk generated sequences (hundreds of version strings in a build log) are recognized as noise and dropped wholesale while opaque ids survive. The Structured summary shape carries the same list as "ids":[...].
Benign-aware threshold: before summarizing, squeez scans for error markers (error:, panic, traceback, FAILED, EXCEPTION, Fatal). If none are found, the threshold is doubled (1,000 lines default) so successful builds, clean test runs, and uneventful logs stay verbatim unless they are genuinely huge.
Plugin installed at ~/.config/opencode/plugins/squeez.js. OpenCode auto-loads plugins on startup. All Bash commands are automatically compressed via squeez wrap.
Hooks registered in ~/.copilot/settings.json. Session memory written to ~/.copilot/copilot-instructions.md (Copilot CLI reads this automatically). State stored separately at ~/.copilot/squeez/.
Refresh memory manually:
SQUEEZ_DIR=~/.copilot/squeez ~/.claude/squeez/bin/squeez init --copilot
TypeScript extension installed at ~/.pi/agent/extensions/squeez/index.ts. Pi auto-discovers extensions from that directory — no settings patching needed. Session memory is injected via a skill at ~/.pi/agent/skills/squeez/SKILL.md; Pi includes the skill description in every system prompt and loads full instructions on demand. Unlike other hosts, Pi achieves BUDGET_HARD output compression via the tool_result event (return-patch API), not just soft hints.
Requires Rust stable. Windows requires Git Bash.
git clone https://github.com/claudioemmanuel/squeez.git
cd squeez
cargo test # run all tests (356 tests, 37 suites)
cargo build --release # build release binary
bash bench/run.sh # filter-mode benchmark (14 fixtures)
bash bench/run_context.sh # context-engine benchmark (3 wrap scenarios)
./target/release/squeez benchmark # full 19-scenario benchmark suite
bash build.sh # build + install to ~/.claude/squeez/bin/
git checkout -b feature/your-change
cargo test
cargo build --release
bash bench/run.sh
git push -u origin feature/your-change
gh pr create --base main --title "Short title" --body "Description"
CI runs cargo test, bench/run.sh, bench/run_context.sh, and squeez benchmark on every push and pull request.
See CONTRIBUTING.md for coding standards.
There is an unrelated project with the same name at KRLabsOrg/squeez. This project (claudioemmanuel/squeez) is a hook-based token compressor for AI coding CLIs.
Licensed under the Apache License 2.0 — see LICENSE + NOTICE.
Contributions require a DCO sign-off (git commit -s …) rather than a CLA. You keep copyright on what you contribute; sign-off is a lightweight affirmation that you have the right to submit it under Apache 2.0. See CONTRIBUTING.md for details.
No reviews yet. Be the first to rate this tool.
Sign in to leave a review.