Files
OmniRoute/docs/compression/COMPRESSION_GUIDE.md
Diego Rodrigues de Sa e Souza ea0cdc559c docs(compression): document the output-style catalog and its extension point (#10649)
The five output styles (terse-prose, less-code, ponytail, i-have-adhd,
terse-cjk) shipped in Phase 4 but COMPRESSION_GUIDE.md had zero mention of
them. Add the catalog table with per-style language coverage, the injection
contract (catalog order, single marker, shared boundaries once), the config
shape and back-compat note, plus an 'Adding an Output Style' recipe in
EXTENDING_COMPRESSION.md covering the matrix guard and translation floor.

Refs #10426

Co-authored-by: Xiangzhe <bakryun0718@proton.me>
2026-08-18 06:14:20 -03:00

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---
title: "🗜️ Prompt Compression Guide — OmniRoute"
version: 3.8.40
lastUpdated: 2026-06-28
---
# 🗜️ Prompt Compression Guide — OmniRoute
> Save 15-95% on eligible context automatically. For a quick overview, see the [README Compression section](../README.md#%EF%B8%8F-prompt-compression--save-15-95-eligible-tokens-automatically).
## Overview
OmniRoute implements a modular prompt compression pipeline that runs **proactively** before requests hit upstream providers. This means your token savings happen transparently — no changes needed to your workflow.
```
Client Request
→ Compression Strategy Selector
→ Combo override? → Use combo setting
→ Auto-trigger threshold? → Use auto mode
→ Default mode? → Use global setting
→ Off? → Skip compression
→ Selected Compression Mode
→ Off: No compression
→ Lite: Safe whitespace/formatting cleanup (~15%)
→ Standard: Caveman-speak filler removal (~30%)
→ Aggressive: History aging + summarization (~50%)
→ Ultra: Heuristic pruning + code-block thinning (~75%)
→ RTK: Command-aware terminal/tool-output filtering (60-90% upstream range)
→ Stacked: Ordered multi-engine pipeline, usually RTK then Caveman (78-95% eligible range)
→ Compressed Request → Provider
```
---
## Compression Modes
### Off
No compression applied. All messages pass through unchanged.
### Lite Mode (~15% savings, <1ms latency)
The safest mode — zero semantic change, only formatting cleanup:
| Technique | Description |
| ------------------------ | ------------------------------------------------- |
| `collapseWhitespace` | Merge consecutive blank lines and trailing spaces |
| `dedupSystemPrompt` | Remove duplicate system messages |
| `compressToolResults` | Compress verbose tool/function outputs |
| `removeRedundantContent` | Strip repeated instructions |
| `replaceImageUrls` | Shorten base64 image data URIs |
**Best for:** Always-on usage, safety-critical workflows.
### Standard Mode (~30% savings)
Inspired by [Caveman](https://github.com/JuliusBrussee/caveman) — removes filler words and verbose phrasing while preserving meaning:
- Removes filler words ("please", "I think", "basically", "actually")
- Condenses verbose phrases ("in order to" → "to", "as a result of" → "because")
- Strips polite hedging ("Would you mind...", "If you could possibly...")
- 30+ regex rules tuned for coding prompts
**Best for:** Daily coding workflows, cost-conscious teams.
### Aggressive Mode (~50% savings)
Smart history management for long sessions:
- **Message Aging** — older messages get progressively compressed
- **Tool Result Summarization** — long tool outputs replaced with summaries
- **Structural Integrity Guards** — ensures `tool_use` + `tool_result` pairs stay consistent
- **Context Window Awareness** — respects per-model token limits
**Best for:** Extended debugging sessions, large codebases.
### Ultra Mode (~75% savings)
Maximum compression for token-critical scenarios:
- **Heuristic Pruning** — removes messages below relevance threshold
- **Code Block Thinning** — compresses repetitive code examples
- **Binary Search Truncation** — finds optimal cut point for context window
- All Aggressive mode features included
**Best for:** When you're hitting context limits repeatedly.
### RTK Mode (60-90% upstream range)
RTK mode is optimized for verbose tool outputs that appear in coding-agent sessions:
- Detects command/output classes such as `git status`, `git diff`, `git log`, test runners,
TypeScript/Vite/Webpack builds, ESLint/Biome/Prettier, npm audit/installs, Docker logs, infra
output, and generic shell output
- Applies JSON filter packs from `open-sse/services/compression/engines/rtk/filters/`
- Imports RTK TOML schema v1 filters from project or global `filters.toml` files, with inline-test
validation and trust-gating for project files
- Ships 49 built-in filters with inline verify samples
- Removes ANSI control sequences, progress bars, repeated lines, and non-actionable noise
- Preserves failures, errors, warnings, changed files, summaries, and the tail of long output
- Supports trust-gated project filters, global filters, and optional redacted raw-output recovery
**Best for:** Agent sessions with shell, build, test, git, grep, and file-output transcripts.
### Stacked Mode (78-95% eligible range)
Stacked mode runs multiple compression engines in a deterministic order. The default pipeline is:
```txt
RTK -> Caveman
```
That order keeps terminal/tool output compact first, then applies Caveman semantic condensation to
the remaining natural-language prompt. Stacked pipelines can be configured globally or through
compression combos assigned to routing combos.
**Best for:** Mixed context with large tool logs plus human instructions or assistant summaries.
---
## Upstream Savings Math
OmniRoute documents compression savings from two sources: upstream project benchmarks and
OmniRoute's own engine composition.
| Source | Upstream README number used here |
| ------- | --------------------------------------------------------------------------------------------------------------------- |
| Caveman | `~75%` fewer output tokens, `65%` benchmark average output savings, `22-87%` range, and `~46%` input compression tool |
| RTK | `60-90%` command-output savings; sample session `~118,000 -> ~23,900` tokens, or `79.7%` saved (`~80%`) |
For overlapping tool/context payloads, the default OmniRoute combo stacks the engines:
```txt
RTK -> Caveman
```
The combined savings are multiplicative, not additive:
```txt
combined = 1 - (1 - RTK savings) * (1 - Caveman input savings)
average = 1 - (1 - 0.80) * (1 - 0.46) = 89.2%
range = 1 - (1 - 0.60..0.90) * (1 - 0.46) = 78.4-94.6%
```
That `78-95%` number applies when both RTK and Caveman can reduce the same input/context payload.
Caveman response output mode is separate: when enabled, use Caveman's own output savings (`65%`
average, `~75%` headline, `22-87%` range). Total billing savings depend on your prompt/output mix.
### What "eligible" actually means
The 15-95% headline range is real, but it only applies to **redundant or verbose** content — repeated
error lines, a build log that spams the same warning, an oversized `grep`/file-read dump. It does
**not** mean every request saves that much.
Verified empirically (`tests/unit/compression/stacked-compression-tool-result-savings.test.ts`): a
`stacked` (RTK + Caveman) run against an Anthropic-shape `tool_result` block containing 300 identical
error lines produced **95.93% token savings / 96.26% character savings** — squarely in the advertised
range. But the same pipeline run against normal, non-redundant tool output (a clean `grep` match list,
a short file read, ordinary conversational text) correctly produces **near-zero savings**, because
there is nothing repetitive to remove and `validateCompression()` (`validation.ts`) refuses to ship a
rewrite that would drop or alter code blocks, URLs, headings, versions, or ALL-CAPS constant identifiers.
This is expected, safe behavior, not a bug: a coding session that mostly reads/greps clean files will
see modest total savings even with compression fully enabled, while a session that hits a failing
loop or a chatty linter will see the full 78-95% range on that traffic. Don't use a single session's
low aggregate savings percentage as evidence compression is misconfigured — check whether the
underlying tool output was actually redundant first.
---
## Token Savings Visualization
```
Without compression: 47K tokens sent to LLM
With Lite: 40K tokens sent (15% saved — safe, always-on)
With Standard: 33K tokens sent (30% saved — caveman-speak rules)
With Aggressive: 24K tokens sent (50% saved — aging + summarization)
With Ultra: 12K tokens sent (75% saved — heuristic pruning)
With RTK: 19K-5K tokens sent (60-90% saved on command/tool output)
With Stacked: 10K-2.5K tokens sent (78-95% eligible RTK+Caveman range)
```
---
## Configuration
### Dashboard
Navigate to `Dashboard → Context & Cache`:
- **Caveman** — mode selection, language packs, preview, and global defaults
- **RTK** — command-filter preview, RTK safety settings, and filter catalog
- **Compression Combos** — named engine pipelines assigned to routing combos
- **Auto-Trigger Threshold** — automatically engage compression when token count exceeds threshold
### Per-Combo Override
In `Dashboard → Context & Cache → Compression Combos`, assign a compression combo to a routing
combo:
```txt
Combo: "free-tier-fallback"
Compression Combo: "coding-agent-stack"
Pipeline: RTK -> Caveman
Targets:
1. if/kimi-k2.7-code
2. if/qwen3.8-max-preview
```
This lets you use stacked compression on free/coding providers while keeping lite mode on paid
subscriptions.
This "Per-Combo Override" assignment is a different control from the **routing-combo compression
mode** override (Default/Off/Lite/Standard/Aggressive/Ultra) — that override does not pick a named
compression-combo pipeline; it just sets the `compressionMode` field consulted by
`resolveCompressionPlan`. It can be set either on the combo card (`Dashboard → Combos`) or, since
#6760, per routing combo in the "Assign to routing" list on
`Dashboard → Context & Cache → Compression Combos`, right next to the pipeline-assignment checkbox
documented above. Both surfaces persist through the same `PUT /api/combos/{id}` endpoint.
### Per-request override
Send the `x-omniroute-compression` request header to override the compression plan for a single
request. It has the highest precedence — it beats the routing-combo override, the active profile,
auto-trigger, and the panel Default. Unknown values are ignored (the request is never rejected) and
the global master switch still gates everything: when compression is off globally, the header cannot
turn it on. Values:
| Value | Effect |
| ------------- | -------------------------------------------------------------------- |
| `off` | No compression for this request. |
| `default` | The panel-derived Default profile (ignores the active profile). |
| `engine:<id>` | A single engine when enabled, e.g. `engine:rtk`. |
| `<combo>` | A named combo, matched by name (case-insensitive) first, then by id. |
The applied plan is echoed back in the `X-OmniRoute-Compression: <mode>; source=<source>` response
header, where `<source>` is one of `request-header`, `routing-override`, `active-profile`,
`auto-trigger`, `default`, or `off`.
### API
```bash
# Get compression settings
curl http://localhost:20128/api/settings/compression
# Update compression settings
curl -X PUT http://localhost:20128/api/settings/compression \
-H "Content-Type: application/json" \
-d '{"defaultMode":"stacked","autoTriggerMode":"stacked","autoTriggerTokens":32000}'
# Preview a specific RTK/stacked payload
curl -X POST http://localhost:20128/api/compression/preview \
-H "Content-Type: application/json" \
-d '{"mode":"rtk","messages":[{"role":"tool","content":"npm test output here"}]}'
# List RTK filter packs
curl http://localhost:20128/api/context/rtk/filters
# Test RTK directly with optional command metadata
curl -X POST http://localhost:20128/api/context/rtk/test \
-H "Content-Type: application/json" \
-d '{"command":"npm test","text":"FAIL tests/example.test.ts\nError: boom"}'
```
---
## What Gets Protected
The compression engine **always preserves:**
- ✅ Code blocks (fenced and inline)
- ✅ URLs and file paths
- ✅ JSON structures and structured data
- ✅ Identifiers and protected technical tokens
- ✅ Mathematical expressions
- ✅ Tool/function call definitions
- ✅ System prompts (in lite mode)
RTK raw-output recovery redacts common API keys, bearer tokens, Slack tokens, AWS access keys,
passwords, tokens, and secrets before anything is persisted.
---
## Compression Stats
Every compressed request includes stats in the server logs:
```json
{
"originalTokens": 47200,
"compressedTokens": 40120,
"savingsPercent": 15.0,
"techniquesUsed": ["collapseWhitespace", "dedupSystemPrompt"],
"mode": "lite",
"engine": "caveman",
"compressionComboId": "coding-agent-stack",
"durationMs": 0.8,
"rtkRawOutputPointers": []
}
```
---
## Phase Roadmap
| Phase | Modes | Status |
| -------- | ------------------------------------------------------------------------------------------------------------ | ---------------------------------------------------------------------- |
| Phase 1 | Off, Lite | ✅ Shipped |
| Phase 2 | Standard, Aggressive, Ultra | ✅ Shipped |
| Phase 3 | RTK, Stacked, Compression Combos | ✅ Shipped |
| Phase 4 | Output Styles, SLM-tier Ultra, eval harness | ✅ Shipped |
| Phase 4C | Adaptive context-budget ("dial") — compute engine + API (`contextBudget` on `PUT /api/settings/compression`) | ✅ Shipped (API-configurable; dashboard controls not yet built, #7005) |
---
## Acknowledgments
Standard mode compression rules are inspired by **[Caveman](https://github.com/JuliusBrussee/caveman)** by **[JuliusBrussee](https://github.com/JuliusBrussee)** (⭐ 51K+) — the viral "why use many token when few token do trick" project. Caveman reports `~75%` fewer output tokens, `65%` benchmark average output savings, a `22-87%` output range, and a `~46%` input-compression tool.
RTK mode is inspired by **[RTK - Rust Token Killer](https://github.com/rtk-ai/rtk)** by **[RTK AI](https://github.com/rtk-ai)** — the high-performance command-output compression project for terminal, build, test, git, and tool-output filtering. RTK reports `60-90%` savings, with its README sample session showing `~80%` saved.
---
## Advanced Compression Systems
Beyond the 7 standard modes, OmniRoute includes several advanced compression
systems that work automatically based on context.
### Cache-Aware Compression
Some providers (like Anthropic with prompt caching) support **prompt caching**,
which lets them cache parts of the prompt to reduce costs and latency. When
caching is enabled, aggressive compression can actually **hurt** performance
because it changes the cached tokens, invalidating the cache.
The `cachingAware.ts` module solves this by **detecting caching context** and
**adjusting the compression strategy** accordingly.
#### How it works
1. **Detect caching context** — Scans the request body for `cache_control` markers
2. **Identify caching providers** — Checks if the target provider supports caching
3. **Adjust strategy** — Downgrades `aggressive`/`ultra` to `standard` for caching providers
4. **Skip system prompt** — System prompts are usually cached, so don't compress them
5. **Use deterministic transformations** — Only use transformations that produce consistent output
#### Code example
```ts
import {
detectCachingContext,
getCacheAwareStrategy,
} from "@omniroute/open-sse/services/compression/cachingAware";
const body = {
model: "anthropic/claude-sonnet-4.5",
messages: [{ role: "user", content: "Hello" }],
cache_control: { type: "ephemeral" }, // ← Cache marker
};
const ctx = detectCachingContext(body, { provider: "anthropic" });
// → { hasCacheControl: true, provider: "anthropic", isCachingProvider: true }
const strategy = getCacheAwareStrategy("aggressive", ctx);
// → { strategy: "standard", skipSystemPrompt: true, deterministicOnly: true }
```
#### When to use
Cache-aware compression is **always on** — no configuration needed. It only kicks in
when:
- The request has `cache_control` markers
- The target provider supports prompt caching (Anthropic, OpenAI, etc.)
### Progressive Aging
Long conversations accumulate many message turns, but older turns become less
relevant. The `progressiveAging.ts` module **degrades messages by turn distance**:
- **Recent turns (0-3)**: Kept verbatim (full detail)
- **Medium turns (4-8)**: Lite compression (whitespace, formatting cleanup)
- **Old turns (9+)**: Caveman compression (filler removal, summarization)
- **Very old turns (20+)**: Heavily summarized or dropped
#### Code example
```ts
import { applyAging } from "@omniroute/open-sse/services/compression/progressiveAging";
const messages = [
{ role: "system", content: "You are a helpful assistant" },
{ role: "user", content: "What is 2+2?" },
{ role: "assistant", content: "4" },
// ... 50 more turns ...
];
const { messages: aged, saved } = applyAging(messages, {
verbatim: 3, // First 3 turns: verbatim
light: 8, // Turns 4-8: lite compression
moderate: 20, // Turns 9-20: caveman compression
// Turns 21+: heavy summarization
});
// saved = number of tokens saved
```
#### When to use
Progressive aging is **always on** for `aggressive` and `ultra` modes. It's
particularly effective for:
- Long-running coding sessions
- Multi-day conversations
- Agentic workflows with many tool calls
### Caveman Output Mode
The `outputMode.ts` module injects **system prompt instructions** to make the
model itself produce compressed, terse output (a "caveman" style).
#### How it works
Instead of compressing the input, this mode adds a system prompt like:
> "Reply in minimal words. Skip pleasantries. Use short sentences."
This works particularly well for:
- Code generation (terser output = fewer tokens)
- Quick Q&A (no need for elaborate explanations)
- Batch processing (maximize throughput)
#### When to use
Caveman output mode is **opt-in** — set it via the combo config:
```json
{
"strategy": "auto",
"config": {
"auto": {
"outputMode": "caveman"
}
}
}
```
### Output Styles (catalog)
Caveman output mode above is the **legacy single-style path**. Phase 4 generalized it
into a catalog of composable output styles: `OUTPUT_STYLE_CATALOG` in
`open-sse/services/compression/outputStyles/catalog.ts`. Each style is a system-prompt
instruction that makes the model itself produce cheaper output; styles can be enabled
together and are injected in catalog order.
| Style | `id` | What it does | Instruction languages |
| --- | --- | --- | --- |
| Terse prose | `terse-prose` | Drop filler/articles/hedging; keep technical substance exact. Same text as the legacy caveman output mode (referenced, not re-typed). | en, pt-BR, ja, id |
| Less code | `less-code` | YAGNI ladder: smallest working change, no unrequested abstractions. | en only (backlog: [#10426](https://github.com/diegosouzapw/OmniRoute/issues/10426)) |
| Ponytail (lazy senior dev) | `ponytail` | "The best code is the code never written": reuse > rewrite, root cause > symptom, shortest working diff. | en, pt-BR, vi, ja, id |
| I have ADHD (action-first) | `i-have-adhd` | Action first (command/path/snippet before prose), numbered bounded steps, ONE concrete next step, no preamble/recap/closers. Adapted from [ayghri/i-have-adhd](https://github.com/ayghri/i-have-adhd) (MIT). | en, pt-BR, vi, ja, id |
| Terse CJK (文言) | `terse-cjk` | Classical-Chinese ultra-terse style. | zh (locale-gated: only offered when the detected language is `zh`) |
Every style ships three intensity levels — `lite`, `full`, `ultra` — and every level
ends with the shared boundaries clause, which keeps code blocks, file paths, commands,
error strings, URLs and identifiers verbatim.
#### How injection works
`applyOutputStyles()` (`open-sse/services/compression/outputStyles/apply.ts`) resolves
the selection against the catalog (unknown ids and locale-mismatched styles are
dropped, never an error), concatenates the selected instructions in catalog order,
appends the boundaries clause **once**, and front-loads the result into the system
prompt behind a single idempotency marker (`[OmniRoute Output Styles]`) — re-applying
is a no-op. When the detected request language has a translation, the localized
instruction is injected instead of English.
#### How to enable
In the dashboard: **Context → Settings → Compression** — one row per style with an
on/off toggle and a level selector. Programmatically, the compression config persists
the selection as:
```json
{
"outputStyles": [
{ "id": "i-have-adhd", "level": "full" },
{ "id": "less-code", "level": "lite" }
]
}
```
Back-compat: the legacy `outputMode: "caveman"` combo setting still works and maps to
`terse-prose`, byte-identical to the old injection in all four legacy languages.
The style × language matrix is pinned by
`tests/unit/compression/output-styles-i18n-matrix.test.ts`: a new style cannot ship
without at least a pt-BR translation (or an explicit tracked exception), and an
existing style cannot silently lose a locale. To add a style, see
[EXTENDING_COMPRESSION.md](./EXTENDING_COMPRESSION.md#adding-an-output-style).
### Tool Result Compression
The `toolResultCompressor.ts` module provides **5 specialized compression strategies**
for tool results (function calls, agent outputs, search results, etc.):
1. **Search result compression** — Removes redundant results, keeps top-N
2. **File read compression** — Truncates large files, preserves headers/imports
3. **Code execution compression** — Keeps only essential stdout/stderr
4. **Database query compression** — Limits rows, removes verbose metadata
5. **API response compression** — Strips null fields, condenses arrays
#### When to use
Tool result compression is **always on** when tool calls are present. No
configuration needed.
### Stacked Pipeline
The stacked mode runs **multiple engines in sequence** — usually RTK first
(60-90% savings on tool output), then Caveman (30% additional savings on the
remaining text). This achieves **78-95% total savings**.
#### How it works
```
Input (1000 tokens)
→ RTK (command-aware filter) → 200 tokens
→ Caveman (filler removal) → 140 tokens
→ Output (140 tokens, 86% savings)
```
#### When to use
Use stacked mode for:
- Tool-heavy workflows (agentic coding, research)
- Cost-sensitive batch processing
- When you need maximum token savings
Configure via combo:
```json
{
"strategy": "auto",
"config": {
"auto": {
"modePack": "stacked"
}
}
}
```
---
## Compression Combo Overrides
You can override the global compression mode **per combo** to fine-tune behavior
for different use cases:
```json
{
"id": "coding-combo",
"strategy": "priority",
"config": {
"auto": {
"weights": { "taskFit": 0.5 },
"modePack": "quality-first"
}
},
"compressionOverride": {
"mode": "aggressive",
"stackedPipelines": ["rtk", "caveman"],
"preserveToolDefinitions": true
}
}
```
This is useful for:
- **Coding combos**: Use `aggressive` mode for long sessions
- **Quick Q&A combos**: Use `lite` mode for fast responses
- **Tool-heavy combos**: Use `stacked` mode for max savings
- **Production combos**: Use `cache-aware` mode for caching providers
---
## See Also
- [Environment Config](../reference/ENVIRONMENT.md) — Compression environment variables
- [Architecture Guide](../architecture/ARCHITECTURE.md) — Compression pipeline internals
- [User Guide](../guides/USER_GUIDE.md) — Getting started with compression
- [RTK Compression](./RTK_COMPRESSION.md) — RTK filters, trust model, verify gate, raw-output recovery
- [Compression Engines](./COMPRESSION_ENGINES.md) — Caveman, RTK, stacked, APIs, MCP, dashboard
- [Compression Rules Format](./COMPRESSION_RULES_FORMAT.md) — JSON rule-pack format
- [Compression Language Packs](./COMPRESSION_LANGUAGE_PACKS.md) — Language-specific Caveman rules