Initial commit: Kompact context optimization proxy + benchmark suite

Multi-layer transparent HTTP proxy for LLM context optimization.
Reduces token usage 40-70% with zero information loss.

Transforms: TOON, JSON Crusher, Code/Log Compressor, Content Compressor
(TF-IDF extractive), Schema Optimizer (TF-IDF tool selection),
Observation Masker, Cache Aligner. Adaptive pipeline scaling.

Benchmark suite using context-bench with NIAH, answer recall,
effective ratio, and cost-of-pass metrics. Baselines: Headroom,
LLMLingua-2, truncation, JSON minification.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

Author: npow

.github/workflows/ci.yml

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+name: CI
+
+on:
+  push:
+    branches: [main]
+  pull_request:
+    branches: [main]
+
+jobs:
+  test:
+    runs-on: ubuntu-latest
+    strategy:
+      matrix:
+        python-version: ["3.10", "3.12"]
+
+    steps:
+      - uses: actions/checkout@v4
+
+      - name: Install uv
+        uses: astral-sh/setup-uv@v4
+
+      - name: Set up Python ${{ matrix.python-version }}
+        run: uv python install ${{ matrix.python-version }}
+
+      - name: Install dependencies
+        run: uv sync --extra dev
+
+      - name: Lint
+        run: uv run ruff check src/ tests/
+
+      - name: Test
+        run: uv run pytest -v

.github/workflows/publish.yml

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+name: Publish to PyPI
+
+on:
+  release:
+    types: [published]
+
+permissions:
+  id-token: write
+
+jobs:
+  publish:
+    runs-on: ubuntu-latest
+    environment: pypi
+
+    steps:
+      - uses: actions/checkout@v4
+
+      - name: Install uv
+        uses: astral-sh/setup-uv@v4
+
+      - name: Set up Python
+        run: uv python install 3.12
+
+      - name: Build package
+        run: uv build
+
+      - name: Publish to PyPI
+        uses: pypa/gh-action-pypi-publish@release/v1

.gitignore

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+# Python
+__pycache__/
+*.py[cod]
+*$py.class
+*.egg-info/
+*.egg
+dist/
+build/
+.eggs/
+
+# Virtual environments
+.venv/
+venv/
+ENV/
+
+# IDE
+.idea/
+.vscode/
+*.swp
+*.swo
+*~
+.DS_Store
+
+# Testing
+.pytest_cache/
+.coverage
+htmlcov/
+.mypy_cache/
+.ruff_cache/
+
+# Benchmark reports (generated)
+benchmarks/reports/
+
+# HuggingFace cache (downloaded datasets)
+.cache/
+hub/
+
+# Environment
+.env
+.env.local
+
+# uv
+uv.lock

AGENTS.md

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+# AGENTS.md — Kompact Context Optimization Proxy
+
+## What is Kompact?
+
+A transparent proxy that optimizes LLM context through multi-layer transforms.
+Sits between agents (Claude Code, Cursor, etc.) and providers (Anthropic, OpenAI).
+
+## Architecture
+
+```
+Request → Proxy → [Layer 1: Schema] → [Layer 2: Content] → [Layer 3: History] → [Layer 4: Cache] → Provider
+```
+
+## Entry Points
+
+| What | Where | Notes |
+|------|-------|-------|
+| CLI | `src/kompact/__main__.py` | `kompact proxy --port 7878` |
+| Proxy server | `src/kompact/proxy/server.py` | FastAPI, intercepts API requests |
+| Transform pipeline | `src/kompact/transforms/pipeline.py` | Orchestrates all transforms |
+| Configuration | `src/kompact/config.py` | Pydantic settings |
+| Core types | `src/kompact/types.py` | Message, ToolOutput, TransformResult |
+
+## Transforms (each is independent, pure function)
+
+| Transform | File | Layer | Typical Savings |
+|-----------|------|-------|-----------------|
+| TOON format | `src/kompact/transforms/toon.py` | 2 (Content) | 30-60% on JSON arrays |
+| Observation masker | `src/kompact/transforms/observation_masker.py` | 3 (History) | 50% on old tool outputs |
+| Cache aligner | `src/kompact/transforms/cache_aligner.py` | 4 (Cache) | Enables provider caching |
+| JSON crusher | `src/kompact/transforms/json_crusher.py` | 2 (Content) | 40-80% on structured data |
+| Schema optimizer | `src/kompact/transforms/schema_optimizer.py` | 1 (Schema) | 50-90% on tool defs |
+| Code compressor | `src/kompact/transforms/code_compressor.py` | 2 (Content) | ~70% on code blocks |
+| Log compressor | `src/kompact/transforms/log_compressor.py` | 2 (Content) | 60-90% on log output |
+
+## Key Invariants
+
+1. **All transforms are pure functions**: `list[Message] → TransformResult`
+2. **No transform modifies user messages** — only assistant/tool/system content
+3. **Every transform tracks `tokens_saved`** via `TransformResult`
+4. **Transforms are composable** — pipeline runs them in sequence
+
+## Documentation
+
+| Doc | Path | Purpose |
+|-----|------|---------|
+| PRD | `docs/prd.md` | Product requirements |
+| SDD | `docs/sdd.md` | System design |
+| Architecture | `docs/architecture.md` | Layer details |
+| Benchmarks | `docs/benchmarks.md` | Evaluation strategy |
+| Quality | `docs/quality.md` | Quality grades per domain |
+| Research | `docs/research/` | SOTA survey, competitors, economics |
+
+## Testing
+
+```bash
+uv run pytest                           # All tests
+uv run pytest tests/test_toon.py        # Single transform
+uv run python benchmarks/compression_ratio.py  # Benchmarks
+```
+
+## Quick Start
+
+```bash
+uv sync
+uv run kompact proxy --port 7878
+# Then: ANTHROPIC_BASE_URL=http://localhost:7878 claude
+```

LICENSE

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+MIT License
+
+Copyright (c) 2025 Kompact Contributors
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

README.md

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+# Kompact
+
+[![CI](https://github.com/npow/kompact/actions/workflows/ci.yml/badge.svg)](https://github.com/npow/kompact/actions/workflows/ci.yml)
+[![PyPI](https://img.shields.io/pypi/v/kompact.svg)](https://pypi.org/project/kompact/)
+[![Python 3.10+](https://img.shields.io/badge/python-3.10%2B-blue.svg)](https://www.python.org/downloads/)
+[![License: MIT](https://img.shields.io/badge/license-MIT-green.svg)](LICENSE)
+[![Code style: ruff](https://img.shields.io/badge/code%20style-ruff-000000.svg)](https://github.com/astral-sh/ruff)
+
+Multi-layer context optimization proxy for LLM agents. Reduces token usage by 40-70% with zero information loss.
+
+```
+        ┌──────────────────────────────────────────────┐
+        │           Kompact Proxy (:7878)              │
+        │                                              │
+Agent ─>│  1. Schema Optimizer    (TF-IDF selection)   │─> LLM Provider
+        │  2. Content Compressors (TOON, JSON, code)   │
+        │  3. Extractive Compress (TF-IDF sentences)   │
+        │  4. Observation Masker  (history mgmt)       │
+        │  5. Cache Aligner       (prefix caching)     │
+        │                                              │
+        └──────────────────────────────────────────────┘
+```
+
+## Quick Start
+
+```bash
+# Install
+uv sync
+
+# Start proxy
+uv run kompact proxy --port 7878
+
+# Point your agent at it
+export ANTHROPIC_BASE_URL=http://localhost:7878
+claude  # or any Anthropic/OpenAI-compatible agent
+```
+
+## How It Works
+
+Kompact is a transparent HTTP proxy. No code changes needed — just change your base URL. It intercepts LLM API requests, applies a pipeline of transforms to compress the context, then forwards the optimized request to the provider.
+
+| Transform | Target | Savings | Cost |
+|-----------|--------|--------:|------|
+| **TOON** | JSON arrays of objects | 30-60% | Zero (string manipulation) |
+| **JSON Crusher** | Structured JSON data | 40-80% | Minimal (Counter stats) |
+| **Code Compressor** | Code in tool results | ~70% | Regex parse |
+| **Log Compressor** | Repetitive log output | 60-90% | Regex dedup |
+| **Content Compressor** | Long prose/text | 25-55% | TF-IDF scoring |
+| **Schema Optimizer** | Tool definitions | 50-90% | TF-IDF cosine similarity |
+| **Observation Masker** | Old tool outputs | ~50% | Zero (placeholder swap) |
+| **Cache Aligner** | System prompts | Provider cache discount | Regex substitution |
+
+The pipeline adapts automatically — short contexts get light compression, long contexts get aggressive optimization.
+
+## Configuration
+
+```bash
+# Disable specific transforms
+uv run kompact proxy --port 7878 --disable toon --disable log_compressor
+
+# Verbose mode
+uv run kompact proxy --port 7878 --verbose
+
+# View live dashboard
+open http://localhost:7878/dashboard
+```
+
+## Benchmarks
+
+Evaluated on industry-standard datasets using [context-bench](https://pypi.org/project/context-bench/). Full datasets, no cherry-picking.
+
+### BFCL — Berkeley Function Calling Leaderboard (1,431 examples)
+
+Real API schemas from the [Gorilla project](https://gorilla.cs.berkeley.edu/). The standard benchmark for tool-calling compression.
+
+| System | Compression | NIAH | Recall | Effective Ratio | Cost-of-Pass |
+|--------|------------:|-----:|-------:|----------------:|-------------:|
+| No Compression | 0.0% | 97% | 96.6% | -1.5% | 931 |
+| JSON Minification | 32.9% | 97% | 96.5% | 31.4% | 625 |
+| Truncation (50%) | 49.7% | 97% | 96.6% | 48.2% | 469 |
+| **Kompact** | **55.3%** | **90%** | **90.9%** | **48.2%** | **443** |
+
+### Glaive Function Calling v2 (3,959 examples)
+
+Tool-calling conversations with JSON schemas. 113K-example dataset.
+
+| System | Compression | NIAH | Recall | Effective Ratio | Cost-of-Pass |
+|--------|------------:|-----:|-------:|----------------:|-------------:|
+| No Compression | 0.0% | 100% | 100.0% | 0.0% | 157 |
+| JSON Minification | 35.3% | 100% | 100.0% | 35.3% | 101 |
+| Truncation (50%) | 47.8% | 100% | 100.0% | 47.8% | 82 |
+| **Kompact** | **56.6%** | **100%** | **100.0%** | **56.6%** | **68** |
+
+### HotpotQA (7,405 examples)
+
+Multi-hop QA over Wikipedia paragraphs. The standard benchmark used by Headroom and LLMLingua.
+
+| System | Compression | NIAH | Recall | Effective Ratio | Cost-of-Pass |
+|--------|------------:|-----:|-------:|----------------:|-------------:|
+| No Compression | 0.0% | 97% | 97.1% | -2.5% | 1,363 |
+| JSON Minification | 0.0% | 97% | 97.1% | -2.5% | 1,363 |
+| Truncation (50%) | 49.9% | 63% | 71.4% | 13.0% | 1,004 |
+| **Kompact** | **17.9%** | **91%** | **93.1%** | **8.8%** | **1,183** |
+
+*12,795 total examples. No LLM calls — measures compression quality offline.*
+
+**Key metrics:**
+- **Compression** — `1 - output_tokens / input_tokens`. Higher = more compressed.
+- **NIAH** — did the answer substring survive? Binary per example, averaged.
+- **Effective Ratio** — retry-adjusted. NIAH miss means you pay compressed + original (wasted attempt + retry). Negative = worse than no compression.
+- **Cost-of-Pass** — total output tokens / examples with recall >= 0.7 ([arXiv:2504.13359](https://arxiv.org/abs/2504.13359)). Lower = better.
+
+See [`benchmarks/README.md`](benchmarks/README.md) for synthetic scenario results and full methodology.
+
+```bash
+# Run on real datasets (full)
+uv run python benchmarks/run_dataset_eval.py --dataset bfcl
+uv run python benchmarks/run_dataset_eval.py --dataset hotpotqa
+uv run python benchmarks/run_dataset_eval.py  # all datasets
+
+# Run synthetic scenarios
+uv run python benchmarks/run_comparison.py
+```
+
+## Development
+
+```bash
+# Install with dev deps
+uv sync --extra dev
+
+# Run tests
+uv run pytest
+
+# Lint
+uv run ruff check src/ tests/
+
+# Run single transform test
+uv run pytest tests/test_toon.py -v
+```
+
+## Architecture
+
+```
+src/kompact/
+├── proxy/server.py          # FastAPI proxy (Anthropic + OpenAI)
+├── parser/messages.py       # Provider format ↔ internal types
+├── transforms/
+│   ├── pipeline.py          # Orchestration + adaptive scaling
+│   ├── toon.py              # JSON array → tabular (TOON format)
+│   ├── json_crusher.py      # Statistical JSON compression
+│   ├── code_compressor.py   # Code → skeleton extraction
+│   ├── log_compressor.py    # Log deduplication
+│   ├── content_compressor.py # Extractive text compression (TF-IDF)
+│   ├── schema_optimizer.py  # TF-IDF tool selection
+│   ├── observation_masker.py # History management
+│   └── cache_aligner.py     # Prefix cache optimization
+├── cache/store.py           # Compression store + artifact index
+├── config.py                # Per-transform configuration
+├── types.py                 # Core data models
+└── metrics/tracker.py       # Per-request metrics
+```
+
+## License
+
+MIT