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\n\n\"A\n\n
\n\n# ๐Ÿ–ผ๏ธ OmniGlyph โ€” Context as Image\n\n### Cut your Claude bill by **59โ€“70%** by rendering bulky context as dense PNG pages โ€” the same content, in a fraction of the tokens.\n\n**Models bill text per token, but bill an image by its dimensions โ€” not by how much text is inside it.**\n\n
\n\n[![59โ€“70% Bill Cut](https://img.shields.io/badge/59--70%25-Bill_Cut-00B894?style=for-the-badge)](#-the-numbers--measured-not-estimated)\n[![10x Fewer Tokens](https://img.shields.io/badge/10%C3%97-Fewer_Tokens-6C5CE7?style=for-the-badge)](benchmarks/billing-sweep/README.md)\n[![100% Read Accuracy](https://img.shields.io/badge/100%25-Read_Accuracy-0984E3?style=for-the-badge)](benchmarks/density-frontier/README.md)\n[![Zero Confabulations](https://img.shields.io/badge/0-Silent_Confabulations-E17055?style=for-the-badge)](#-the-honest-part)\n\n[![CI](https://github.com/diegosouzapw/OmniGlyph/actions/workflows/ci.yml/badge.svg)](https://github.com/diegosouzapw/OmniGlyph/actions/workflows/ci.yml)\n[![npm version](https://img.shields.io/npm/v/omniglyph?style=flat-square)](https://www.npmjs.com/package/omniglyph)\n[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg?style=flat-square)](LICENSE)\n[![Node โ‰ฅ18](https://img.shields.io/badge/node-%E2%89%A518-339933?style=flat-square&logo=node.js&logoColor=white)](package.json)\n\nPart of the [**OmniRoute**](https://github.com/diegosouzapw/OmniRoute) family ยท [๐ŸŒ All languages](docs/i18n/README.md)\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
๐Ÿ‡บ๐Ÿ‡ธ๐Ÿ‡ธ๐Ÿ‡ฆ๐Ÿ‡ฆ๐Ÿ‡ฟ๐Ÿ‡ง๐Ÿ‡ฌ๐Ÿ‡ง๐Ÿ‡ฉ๐Ÿ‡จ๐Ÿ‡ฟ๐Ÿ‡ฉ๐Ÿ‡ฐ๐Ÿ‡ฉ๐Ÿ‡ช๐Ÿ‡ช๐Ÿ‡ธ๐Ÿ‡ฎ๐Ÿ‡ท๐Ÿ‡ซ๐Ÿ‡ฎ๐Ÿ‡ซ๐Ÿ‡ท๐Ÿ‡ฎ๐Ÿ‡ณ๐Ÿ‡ฎ๐Ÿ‡ฑ
๐Ÿ‡ฎ๐Ÿ‡ณ๐Ÿ‡ญ๐Ÿ‡บ๐Ÿ‡ฎ๐Ÿ‡ฉ๐Ÿ‡ฎ๐Ÿ‡น๐Ÿ‡ฏ๐Ÿ‡ต๐Ÿ‡ฐ๐Ÿ‡ท๐Ÿ‡ฎ๐Ÿ‡ณ๐Ÿ‡ฒ๐Ÿ‡พ๐Ÿ‡ณ๐Ÿ‡ฑ๐Ÿ‡ณ๐Ÿ‡ด๐Ÿ‡ต๐Ÿ‡ญ๐Ÿ‡ต๐Ÿ‡ฑ๐Ÿ‡ต๐Ÿ‡น๐Ÿ‡ง๐Ÿ‡ท
๐Ÿ‡ท๐Ÿ‡ด๐Ÿ‡ท๐Ÿ‡บ๐Ÿ‡ธ๐Ÿ‡ฐ๐Ÿ‡ธ๐Ÿ‡ช๐Ÿ‡ฐ๐Ÿ‡ช๐Ÿ‡ฎ๐Ÿ‡ณ๐Ÿ‡ฎ๐Ÿ‡ณ๐Ÿ‡น๐Ÿ‡ญ๐Ÿ‡น๐Ÿ‡ท๐Ÿ‡บ๐Ÿ‡ฆ๐Ÿ‡ต๐Ÿ‡ฐ๐Ÿ‡ป๐Ÿ‡ณ๐Ÿ‡จ๐Ÿ‡ณ๐Ÿ‡น๐Ÿ‡ผ
\n\n
\n\n![chart: characters a frontier context window holds, 2018โ€“2026 โ€” every vendor line tops out near the ~4M chars a 1M-token window holds as text; the same Fable 5 1M window through OmniGlyph images holds a measured ~18M chars, 4.54ร— the text ceiling](docs/assets/context-window-chars.png)\n\n*Eight years of context growth, in characters. Every text line tops out near\n~4M chars (a 1M-token window at ~4 chars/token); the orange point is the\n**same Fable 5 1M window** read through OmniGlyph images โ€” ~18M chars at the\nmeasured 18.16 chars/vision-token, **4.54ร—** the text ceiling. The density and\nmultiplier are measured from a live render at generation time, not hand-typed:\nregenerate with `npx tsx scripts/gen-context-chart.ts`\n([source](scripts/gen-context-chart.ts)).*\n\n---\n\n# ๐Ÿ“Š The numbers โ€” measured, not estimated\n\n| metric | result | receipt |\n|---|---|---|\n| End-to-end bill reduction | **59โ€“70%** | production trace, 13,709 requests |\n| Tokens per converted block | **10ร— fewer** (28,080 chars: 14,040 โ†’ 1,460 tokens) | [billing sweep](benchmarks/billing-sweep/README.md) |\n| Billing-formula accuracy | residual **zero** across 22 `count_tokens` probes, 2 models ร— 2 tiers | `benchmarks/billing-sweep/results/` |\n| Exact-read accuracy, production config | **30/30 (100%)** on Claude Fable 5 | [density frontier](benchmarks/density-frontier/README.md) |\n| Silent confabulations in ~300 read probes | **0** โ€” every miss abstains as `ILEGIVEL` | `benchmarks/density-frontier/results/` |\n\n**Model scorecard** (can it read dense renders? n=30 per arm, deterministic scoring):\n\n| model | reading | verdict |\n|---|---|---|\n| Claude **Fable 5** | **100%** exact | โœ… production target |\n| Claude Opus 4.8 | 77โ€“87% at 4ร— glyph size | โš ๏ธ opt-in safe mode (savings drop to ~2ร—) |\n| GPT-5.5 | 0/60 โ€” and inflates its answers ~40ร— trying | โŒ blocked by the gate, with proof |\n| Gemini 2.5-flash | 0/26 โ€” and confabulates instead of abstaining | โŒ blocked (partial test, quota-limited) |\n\nThe advantage is **Fable-specific today** โ€” other vision encoders don't resolve dense glyphs yet. The [benchmark harness](benchmarks/README.md) re-tests any new model in one command.\n\n# ๐Ÿค” Why OmniGlyph?\n\nEvery long-running agent session drags the same dead weight on every request: the system prompt, tool docs, and old history โ€” re-billed per token, every turn. OmniGlyph is a **local proxy** that rewrites those bulky parts into dense PNG pages *before they leave your machine*:\n\n- **Exact billing math, not heuristics** โ€” it computes the provider's real image-token formula (measured to residual zero) and converts only when the math wins.\n- **Fail-closed by design** โ€” models that can't read dense renders are blocked by a gate, with benchmark receipts. No silent quality loss.\n- **Private & local-first** โ€” the rewrite happens on `127.0.0.1`; nothing extra is sent anywhere.\n- **Reproducible** โ€” every number above has a receipt in `benchmarks/*/results/`, re-runnable in one command.\n\n# โšก Quick Start\n\n```bash\nnpx omniglyph # proxy on 127.0.0.1:47821\nANTHROPIC_BASE_URL=http://127.0.0.1:47821 claude # point Claude Code at it\n```\n\n![Quickstart: start the proxy, check the dashboard, point Claude Code at it](docs/assets/demo-quickstart.gif)\n\nWorks both ways:\n- **API key** (pay per token): your bill drops 59โ€“70% end-to-end.\n- **Subscription session**: you don't pay less, but usage limits are counted in tokens โ€” so your limits stretch **~2โ€“3ร—**.\n\nDashboard at : tokens saved, every textโ†’image conversion side by side, kill switch, live model chips. Responses stream normally โ€” only the *request* is compressed, never the model's output.\n\n# ๐Ÿ”Œ Use with Claude clients\n\nStart the proxy in one terminal, then point the client at it.\n\n**Claude Code CLI (macOS/Linux):**\n\n```bash\nnpx omniglyph\nANTHROPIC_BASE_URL=http://127.0.0.1:47821 claude\n```\n\n**Claude Code CLI (Windows PowerShell):**\n\n```powershell\nnpx omniglyph\n$env:ANTHROPIC_BASE_URL = \"http://127.0.0.1:47821\"\nclaude\n```\n\n**Claude Desktop** uses the same `ANTHROPIC_BASE_URL` environment variable for its bundled Claude Code runtime โ€” start `omniglyph` first, then launch Claude Desktop from an environment where `ANTHROPIC_BASE_URL` is set to `http://127.0.0.1:47821`.\n\n# ๐Ÿ–ฅ๏ธ The dashboard\n\nA full local dashboard ships inside the package โ€” offline, single-file, zero external requests. Six pages, updated live over SSE as requests flow:\n\n![Overview: mission-control KPI cards, savings sparkline and live event feed](docs/assets/dashboard-overview.png)\n\n- **Overview** โ€” mission control: savings %, $ saved, latency p95, cache hits, errors, live feed.\n- **Live Flow** โ€” the pipeline as a node graph: client โ†’ gate โ†’ renderer / passthrough โ†’ API, with a particle per real request.\n- **Telemetry** โ€” a token/$ odometer and a live request timeline; click any request to see exactly which parts became images and read the source text behind every page.\n- **Benchmarks** โ€” the harness receipts rendered from `benchmarks/*/results/`, one row per modelยทconfig experiment, and **run the benchmarks from the UI**: `$0` dry-runs stream their output live; live runs stay gated behind your API key plus an explicit cost confirmation.\n- **Sessions / History** โ€” top sessions by tokens saved and every event on disk.\n\n| Live Flow | Benchmarks |\n|---|---|\n| ![The request pipeline as a live node graph](docs/assets/dashboard-flow.png) | ![Benchmark receipts and in-UI dry-runs](docs/assets/dashboard-benchmarks.png) |\n\n![Telemetry: odometer and live request timeline](docs/assets/dashboard-telemetry.png)\n\n# โš™๏ธ How it works\n\n```\nbulky request block โ”€โ”€โ–บ profitability gate โ”€โ”€โ–บ reflow + render (1-bit 5ร—8 atlas)\n (exact billing math) โ”€โ”€โ–บ 1568ร—728 PNG pages โ”€โ”€โ–บ splice back, cache-friendly\n```\n\n- **Billing is computed exactly, before converting**: Anthropic bills `โŒˆw/28โŒ‰ ร— โŒˆh/28โŒ‰ + 4` tokens per image (28 px patches โ€” measured to residual zero). A full page carries 28,080 chars for 1,460 tokens โ‰ˆ **19 chars/token**, vs ~2 chars/token for dense text. The gate converts only when the math wins.\n- **What converts**: the static system prompt + tool docs, old collapsed history, large tool outputs.\n- **What never converts**: your messages, recent turns, the model's output, sparse prose, byte-exact values (hashes/IDs ride alongside as text), and any model that failed the reading benchmark.\n\n### Opt-in flags\n\nAll off by default โ€” the compression path above is unchanged unless you set them. `omniglyph --help` lists every flag.\n\n- `OMNIGLYPH_GUARD_SECRETS=text|redact` โ€” keep API keys, tokens, and other credentials out of rendered images: `text` never images a block that holds one, `redact` masks it in place. Never alters what the upstream API receives.\n- `OMNIGLYPH_PROFILE=coding-safe|balanced|aggressive|passthrough` โ€” choose a semantic compression boundary. `coding-safe` keeps authority, schemas, live tool state, and a 12-turn tail native; `balanced` protects an 8-turn tail; `aggressive` is the unchanged default; `passthrough` routes without transforming.\n- `OMNIGLYPH_KEEP_SYSTEM_TEXT=1` โ€” never image the session config (system prompt, tool docs, reminders); tool outputs and old history still convert. Guards against Anthropic's refusal classifier on system-shaped images.\n- `OMNIGLYPH_MODELS` โ€” comma-separated model bases to image (default `claude-fable-5,gpt-5.6`; `off` disables). **Grok** is supported opt-in on the OpenAI-compatible wire but stays fail-closed: text-only until acked via `OMNIGLYPH_UNVERIFIED_MODELS=grok-4.5`, pending its own reading receipt.\n\n# ๐Ÿ“š Library use (no proxy)\n\nEverything the proxy does per request is also a documented, importable API:\n\n```ts\nimport { renderTextToImages, transformAnthropicMessages } from \"omniglyph\";\n\n// Render any text to dense 1-bit PNG pages\nconst { pages } = await renderTextToImages(bigToolOutput, { reflow: true });\n// pages[i].png: Uint8Array ยท pages[i].width ร— pages[i].height\n\n// Or run the full request transform yourself โ€” gate, billing math and all\nconst { body, applied, reason } = await transformAnthropicMessages({\n body: requestBytes, // the raw /v1/messages JSON body\n model: \"claude-fable-5\",\n});\n```\n\n`options.keepSharp(block)` pins blocks as text; `options.emitRecoverable` returns the originals of imaged blocks. The exact billing math ships at the package root too (`anthropicImageTokens`, `resolveAnthropicVisionTier`, `openAIVisionTokens`) โ€” that is what [OmniRoute](https://github.com/diegosouzapw/OmniRoute) consumes. Pure-JS runtime (Node and edge/Workers). Full surface: `src/core/index.ts`.\n\n# ๐Ÿ“ค Offline export โ€” no proxy, no Claude Code\n\nNot on Claude Code? Render the context to PNG pages **locally** and paste them into Cursor, ChatGPT, or any chat that accepts image uploads. No proxy, no API key, no account wired up:\n\n```bash\nnpx omniglyph export --include \"*.ts\" src/ # render a folder to image pages\ncat big.log | npx omniglyph export --stdin # โ€ฆor pipe any text through\n```\n\nYou get one folder with everything to drop into the chat:\n\n```\nOmniGlyph-export-/\n page-001.png โ€ฆ the rendered image pages โ€” attach these\n factsheet.txt verbatim precision tokens (paths, SHAs, ids, numbers)\n prompt.txt a paste-ready instruction that points the model at the pages\n manifest.json metadata + the text-vs-image token report (% saved)\n```\n\n`--git` renders your uncommitted diff, `--diff ` a commit range, `--open` reveals the folder (macOS). It all runs on your machine โ€” the export path never starts the proxy and never calls a model. Run `omniglyph export --help` for every flag.\n\n# ๐Ÿงญ The honest part\n\n- **It is lossy.** Byte-exact recall from images is unreliable by nature. Mitigations shipped: exact identifiers travel as text next to the image, and the measured production config produced **zero silent confabulations** โ€” failed reads abstain.\n- **Only Fable 5 is approved today**, with receipts. GPT-5.5 and Gemini 2.5-flash measurably cannot read dense renders; Opus 4.8 needs 4ร— bigger glyphs. The gate enforces this.\n- **We found and avoided a billing trap**: the high-resolution image tier bills 3.3ร— more per page, but the vision encoder doesn't receive the extra resolution โ€” bigger pages read *worse*. Measured, documented in [docs/benchmarks/BENCHMARKS.md](docs/benchmarks/BENCHMARKS.md), not enabled.\n- Prices change; the durable metric is the token cut, which the proxy logs per request against a free `count_tokens` counterfactual.\n\n# ๐Ÿง  FAQ\n\n**I enabled it mid-session and my usage spiked โ€” why?**\nA session that ran without OmniGlyph has its entire prefix cached by Anthropic as text at the 0.1ร— read rate; the first imaged request would re-pay all of it as a fresh 1.25ร— cache write in a single prompt. The proxy guards against this: a session it has never imaged feeds that one-prompt cost into the break-even gate and only switches to images when it still wins โ€” otherwise the session stays as text, and the savings start with your next new session.\n\n**Is the 59โ€“70% end-to-end, or only on the requests it touched?**\nEnd-to-end โ€” the whole bill. Most compression tools report savings only on the slice they touched, which flatters the number. Our denominator is *every* request: the small ones the gate correctly left untouched, all cache writes and reads, and all output tokens (which the proxy never compresses). Compressed-only runs higher and is quoted separately, never as the headline.\n\n**How is the saving measured?**\nBoth sides of the same request, at the same moment. For every `/v1/messages` POST the proxy fires a free `count_tokens` probe on the original uncompressed body (the counterfactual) in parallel with the real forward, and reads the provider's actually-billed usage block off the response โ€” both land in the same event row. Cache pricing is applied identically to both sides, so the caching discount cancels and can't be double-counted as \"savings\". The formula lives in `src/core/baseline.ts`; re-derive it from your own events log.\n\n**Why would a miss be a confabulation instead of a read error?**\nBecause model vision is not OCR: the page becomes patch embeddings, never discrete characters, so there is no per-glyph confidence to fail loudly on โ€” when pixels underdetermine a glyph, the language prior fills the gap with something plausible. That mechanism is exactly why OmniGlyph is fail-closed about it: byte-exact values always ride as text next to the image, models that misread are blocked by the gate, and the measured production config produced **zero** silent confabulations in ~300 read probes โ€” failed reads abstain.\n\n**What about byte-exact work (hashes, IDs, secrets)?**\nRecent turns and exact identifiers stay text by design. For workloads that are *all* byte-exact, route them to a non-allowlisted model (e.g. a subagent on another Claude model) โ€” anything outside the allowlist passes through byte-identical, untouched.\n\n**Didn't DeepSeek-OCR settle whether this works?**\nIt proved the *channel* works โ€” with an encoder/decoder pair trained for the job. The skepticism dates from when no stock production model could read dense renders; that changed, and the [model scorecard](#-the-numbers--measured-not-estimated) above shows exactly who reads them today, with receipts. The [benchmark harness](benchmarks/README.md) re-tests any new model in one command โ€” the gate follows the data, not the hype.\n\n**Can I use it without Claude Code โ€” Cursor, ChatGPT, a plain pipe?**\nYes, two ways. As a **proxy** it works with any client that lets you set the API base URL (`ANTHROPIC_BASE_URL`, or the OpenAI base URL) โ€” Claude Code, your own scripts, anything HTTP. And for tools that can't proxy, the **Offline export** above renders the context to PNG pages you paste in by hand โ€” `omniglyph export --stdin` even reads straight from a Unix pipe.\n\n**A client feature (like Claude Code's `/remote-control`) disappears when I point it at the proxy โ€” is that OmniGlyph?**\nNo. A few client features gate themselves on a *first-party* connection โ€” and on which auth source is set โ€” inside the client itself, before any request ever reaches a proxy. So they can hide, or refuse to pair, behind *any* `ANTHROPIC_BASE_URL` proxy, not just OmniGlyph, and nothing the proxy returns can switch them back on. Run those features on a direct, no-proxy session.\n\n**How does it actually turn text into an image?**\nIt reflows the text and paints it with a 1-bit 5ร—8 pixel glyph atlas onto dense 1568ร—728 PNG pages โ€” one bit per pixel, no anti-aliasing, so the model bills the page by its dimensions, not by how many characters are inside. **How it works** above has the pipeline; the benchmarks doc has the geometry and why denser isn't always cheaper.\n\n# ๐Ÿ”ฌ Reproduce every number\n\n```bash\npnpm install && pnpm test # full suite\nnode benchmarks/billing-sweep/run.mjs --dry-run # billing predictions, $0\npnpm exec tsx benchmarks/density-frontier/run.ts --dry-run # cost table, $0\n# with keys: ANTHROPIC_API_KEY / OPENAI_API_KEY / GEMINI_API_KEY (or --via-cli for a Claude Code subscription)\n```\n\n![The two benchmark harnesses running in dry-run mode](docs/assets/demo-benchmarks.gif)\n\nFull methodology and every result table: [docs/benchmarks/BENCHMARKS.md](docs/benchmarks/BENCHMARKS.md). Raw per-answer receipts: `benchmarks/*/results/*.jsonl`.\n\n# ๐Ÿš€ The OmniRoute family\n\nOmniGlyph also ships as a **native compression engine inside [OmniRoute](https://github.com/diegosouzapw/OmniRoute)** โ€” the free AI gateway. There it runs as the `omniglyph` engine (standalone single mode or stacked with the other engines), with fail-closed gates and image-aware token accounting.\n\n# ๐Ÿ› ๏ธ Tech Stack\n\n| layer | tech |\n|---|---|\n| Language | TypeScript (strict), ESM |\n| Runtime | Node โ‰ฅ18 ยท Cloudflare Workers (`wrangler.toml`) |\n| Rendering | own 1-bit glyph atlas (Spleen/Unifont-derived, licenses in `assets/`) โ†’ PNG |\n| Tests | Vitest โ€” TDD, plus docs-integrity and rebrand guards |\n| Benchmarks | `benchmarks/` harnesses (billing-sweep, density-frontier) with JSONL receipts |\n\n## Project layout\n\n| path | what |\n|---|---|\n| `src/` | the proxy: transform pipeline, exact billing per provider, renderer, hosts (Node + Cloudflare Workers) |\n| `benchmarks/` | the harnesses that produced every number above โ€” re-runnable |\n| `docs/` | [BENCHMARKS](docs/benchmarks/BENCHMARKS.md) ยท [ARCHITECTURE](docs/architecture/ARCHITECTURE.md) ยท [ROADMAP](docs/ROADMAP.md) |\n\n# ๐Ÿ“ง Support & Community\n\n- ๐Ÿ› [Issues](https://github.com/diegosouzapw/OmniGlyph/issues) โ€” bugs and feature requests\n- ๐Ÿ”’ [SECURITY.md](SECURITY.md) โ€” vulnerability reports\n- ๐Ÿค [CONTRIBUTING.md](CONTRIBUTING.md) โ€” strict TDD + measurement-before-claims\n- ๐Ÿ“œ [CHANGELOG.md](CHANGELOG.md) ยท [CODE_OF_CONDUCT.md](CODE_OF_CONDUCT.md)\n\n\n# ๐Ÿ™ Acknowledgments\n\nOmniGlyph stands on the shoulders of one project in particular โ€” this section is our permanent thank-you.\n\n| Project | How it shaped OmniGlyph |\n|---|---|\n| **[pxpipe](https://github.com/teamchong/pxpipe)** ยท [teamchong](https://github.com/teamchong) | **The discovery this whole project is built on.** pxpipe proved, with receipts, that a production LLM's vision channel can carry dense textual context at a fraction of the token cost โ€” and that the conversion must be decided per-request by exact billing math, never by vibes. The dense 1-bit rendering, the profitability gate, the `count_tokens` counterfactual, the fail-closed model allowlist, and the \"measure before you claim\" documentation culture were all pioneered there. OmniGlyph descends directly from that codebase (MIT โ€” the original copyright line stays in our [LICENSE](LICENSE)). |\n| **[Spleen](https://github.com/fcambus/spleen)** ยท Frederic Cambus | The 5ร—8 bitmap font family our dense 1-bit glyph atlas derives from (license in `assets/`). |\n| **[GNU Unifont](https://unifoundry.com/unifont/)** ยท Unifoundry | Coverage for the glyphs beyond Spleen's range in the same atlas (license in `assets/`). |\n\nIf you find OmniGlyph useful, go star the upstream too โ€” the discovery was theirs. ๐Ÿ™\n\n\n## ๐Ÿ“„ License\n\nMIT โ€” see [LICENSE](LICENSE).\n","readmeFilename":"README.md"}