dsh-windows-ocr

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dsh-windows-ocr

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dsh plugin: OCR attached images locally with the built-in Windows OCR engine — text-only models can see, privacy-first

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ZIP 다운로드

- - ci.yml
  - publish.yml
- capability-shim.ts
- config.ts
- index.ts
- ocr-engine.ts
- ocr.ps1
- pre-step.ts
- temp-cleanup.ts
- types.ts
- mock-ocr.ps1
- standalone-test.test.ts
.gitignore
agents-install.md
CHANGELOG.md
CHANGELOG.zh.md
CONFIG.md
CONFIG.zh.md
cordis.patch.yml
INSTALL.md
INSTALL.zh.md
LICENSE
package.json
pnpm-lock.yaml
README.md
README.zh.md
tsconfig.build.json
tsconfig.json
UNINSTALL.md
UNINSTALL.zh.md
UPDATE.md
UPDATE.zh.md
USAGE.md
USAGE.zh.md

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// repository documentation

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English | [简体中文](README.zh.md)

[![Awesome DSH Plugin](https://awesome-dsh-plugin.com/badge.svg)](https://awesome-dsh-plugin.com)

[DeepSeek Harness](https://github.com/deepseek-ai/deepseek-harness) (dsh) plugin that lets **text-only models** accept attached images: every image is recognized **locally** with the built-in Windows OCR engine (`Windows.Media.Ocr`) and only the recognized **text** is sent to the model API.

**Privacy default:** image bytes are OCR'd locally and not sent to the provider. Set `passthrough: true` only if you intentionally want genuine vision models to receive original image bytes.

- No configuration changes to your models — no `input: [text, image]` hacks in `settings.yaml`.
- Works with any provider/model in dsh; by default every attached image is OCR'd before the request leaves the machine.
- Vision-model passthrough is **opt-in** (`passthrough: true`).
- Fail-closed: if the plugin is not loaded, models stay text-only and image attachments are refused — nothing can silently leak. Missing attachments are replaced with a refusal text block (never left as raw `image`).

## Install from npm

```bash
dsh plugin --profile web add dsh-windows-ocr
```

(Replace `web` with your profile, e.g. `tui`.) Prebuilt and published with Sigstore provenance — no source build or `allowBuilds` approval needed. Installing from source (this repo) still works via the agent guide or the manual steps below.

or from the repository / a tarball:

```bash
dsh plugin --profile web add ./dsh-windows-ocr        # source checkout
dsh plugin --profile web add ./dsh-windows-ocr-0.8.0.tgz
dsh plugin --profile web add github:maxwell-feng/dsh-windows-ocr
```

> Git installs fetch sources, not built artifacts: the package's `prepare`
> script runs `tsc` to rebuild `lib/` from source, and pnpm ≥ 10 requires you
> to allow the build once (it prints the exact `pnpm-workspace.yaml` snippet).

> **npm install registers the `windows-ocr` row by itself.** The package ships
> a bundle patch (`dsh.bundle` + its own `cordis.patch.yml`) that inserts the
> `windows-ocr` loader entry. Do **not** also add a manual `- insert:` row with
> the same id to your profile — dsh `0.1.5-rc.2` (cordis-plugin-loader
> `1.0.2`) rejects duplicate loader entry ids and `dsh web` fails to boot with
> `duplicate loader entry id: windows-ocr`.

## Documentation

- [Configuration Guide](CONFIG.md) ([简体中文](CONFIG.zh.md))
- [Install Guide](INSTALL.md) ([简体中文](INSTALL.zh.md))
- [Usage Guide](USAGE.md) ([简体中文](USAGE.zh.md))
- [Update Guide](UPDATE.md) ([简体中文](UPDATE.zh.md))
- [Uninstall Guide](UNINSTALL.md) ([简体中文](UNINSTALL.zh.md))
- [Changelog](CHANGELOG.md)

## Quick install via an AI agent

Hand this repository to any AI agent, or paste the instruction below, and the
agent will install and verify the plugin for you:

> Please install the dsh plugin in this repository by following
> <https://github.com/maxwell-feng/dsh-windows-ocr/blob/main/agents-install.md>.
> Run every preflight check, choose an install mode, then complete the
> mandatory verification: attach an image to a text-only model session and
> confirm the model answers with the recognized text.

[`agents-install.md`](./agents-install.md) is a step-by-step guide written for
AI agents: preflight checks, both install modes (permanent profile patch /
temporary `--patch` overlay), mandatory functional verification, and
troubleshooting for the failure modes you are likely to hit. Manual install
instructions are below.

## Why a plugin (not a skill)

dsh skills are Markdown instruction files injected into the model context — they cannot execute code, cannot hook the request pipeline, and cannot stop an image from being serialized. This feature needs exactly that, so it is a cordis plugin that hooks two public seams of the `llm` service:

1. **Capability shim** — `ctx.llm.resolveModelInfo` (also `listModels`). The host gates image attachments on `inputModalities.includes("image")` at three places: message admission, model switching, and the `read_image` tool. The shim answers "yes", so text models admit images.
2. **Pre-step rewrite** — `agent/pre-step`, the harness's official seam for replacing the messages that enter a model call ("Reject a proposed step or replace the messages that enter it"). Every `image` content block is replaced with an OCR text block before the request is built, so no attachment bytes are ever serialized and no `image_url` is ever built. It covers every dispatch path — `ctx.llm.stream` and `prepareCall().stream` both build from the step's messages; wrapping `adapter.stream` no longer works because the bundled adapters override `prepareCall()` and dispatch through generation-bound closures.

```
you attach an image
  → admission asks ctx.llm.resolveModelInfo (shimmed: "image" ✓)
  → image stored in the local attachment store (session log, UI preview)
  → agent loop proposes a step → agent/pre-step (rewritten)
  → image block read locally (ctx.attachments.readImage) → Windows OCR
  → block replaced with <image_ocr>…text…</image_ocr>
  → request built from OCR'd messages → adapter serializes text only → provider
```

## Requirements

- Windows 10/11 (Windows PowerShell 5.1+ ships with the OS; no install needed)
- A Windows OCR-capable language pack for your language (Settings → Time & language → Language). English is usually present; Chinese requires the Chinese language pack (OCR-capable).
- `dsh` with a profile (tested against dsh `0.1.5-rc.2`)

## Install

### Installing via an AI agent

[`agents-install.md`](./agents-install.md) in this repository is a
step-by-step installation guide written **for AI agents** (and careful
humans). Give it to an agent — e.g. "install this plugin per
`agents-install.md` from https://github.com/maxwell-feng/dsh-windows-ocr" —
and the agent can perform the preflight checks, install, verification, and
troubleshooting on its own. The guide covers both install modes, the
mandatory functional verification (attach an image → model answers with the
OCR text), and the failure modes you are likely to hit.

### Manual install

Two official ways to load this plugin, both referencing the plugin file by
**absolute path** (see `docs/user/develop/basic`). On Windows the path must be
a `file://` URL — a bare `C:/...` path is parsed as the `c:` URL scheme and
the loader rejects it.

### Permanent: profile patch layer

Append to your profile's `cordis.patch.yml` (e.g. `~/.dsh/profiles/web/cordis.patch.yml`):

```yaml
- insert:
    - id: windows-ocr
      name: 'file:///C:/absolute/path/to/windows-ocr/lib/index.js'
      config:
        language: ''
        passthrough: false
```

Then restart `dsh web`. Remove the rows to uninstall — the plugin restores the original `llm` / adapter methods on unload.

> Choose **one** way to load the plugin: the npm bundle (above) **or** this
> manual insert — never both. Both register the same `windows-ocr` entry id,
> and dsh `0.1.5-rc.2` fails the boot with `duplicate loader entry id: windows-ocr`
> when the row exists twice. If the row is already present (for
> example after an npm bundle install), configure it with an id-targeted
> override (see Configuration below) instead of inserting a second row.

### Temporary: `--patch` overlay

Put the same rows in an overlay file and boot with it; your profile stays untouched:

```bash
dsh --profile web --patch C:/path/to/overlay.yml
```

### Notes

- `dsh web` fails with `EADDRINUSE` on port 3080 when an older instance is
  still running: find it with `netstat -ano | findstr :3080` and stop it
  (taskkill /PID <pid> /F) before starting a new one.
- For a packaged install (npm / tarball / `github:user/repo`), package the
  plugin as a bundle (`dsh.bundle` + `cordis.patch.yml`, see
  `docs/user/develop/basic/publish`); a git install additionally needs a
  `prepare` build script and pnpm `allowBuilds` consent.

To verify the plugin loaded, look for `windows-ocr` in the boot logs, or check the OCR smoke test below.

## Configuration

All settings live in the patch row `windows-ocr` (`cordis.patch.yml` here) and can be overridden from your profile's `cordis.patch.yml`. Configuration is validated at load time (Schemastery `Config` schema) — an invalid value fails the boot with an actionable error instead of being silently ignored:

| Key | Default | Meaning |
|---|---|---|
| `language` | `""` | BCP-47 tag for Windows OCR, e.g. `zh-Hans`, `en-US`. Empty = user profile languages. |
| `passthrough` | `false` | `false` (default): OCR every image. `true`: genuine vision models receive images untouched. |
| `ocrScript` | bundled `lib/ocr.ps1` | Absolute path override for the PowerShell OCR script. |
| `timeoutMs` | `60000` | Per-image OCR timeout. |
| `maxCacheEntries` | `200` | Bound on the per-run OCR cache (keyed by attachment id). |

Example override in `~/.dsh/profiles/web/cordis.patch.yml` — an id-targeted
row (not `insert:`) replaces the existing `windows-ocr` row's config:

```yaml
- id: windows-ocr
  config:
    language: zh-Hans
```

## Usage

Attach any image to a text-model session and send a message — the plugin intercepts `agent/pre-step`, OCRs the image locally via `Windows.Media.Ocr`, and replaces the `image` block with a text block before the request is built. No code or model-config changes needed; every provider/model in dsh benefits.

## How the model sees the image

Each image block becomes a text block (local filenames are **not** forwarded):

```
<image_ocr>
…recognized lines…
</image_ocr>
```

Recognition text is cached per attachment id for the lifetime of the dsh process, so repeated turns do not re-run OCR.

## Temp-file hygiene

Every OCR run writes its input image and output text into a **fresh temporary
directory** (`windows-ocr-*` under the system temp dir). The directory is
removed automatically in `finally` — on success, on OCR error, and on timeout —
so no per-run script, image, or output file survives. At plugin start, any
orphaned `windows-ocr-*` directories left behind by a previously crashed
process are swept as well. Nothing is written outside the plugin's own
temporary directory and the dsh attachment store.

## Smoke test (no dsh needed)

```powershell
# 1x1 PNG — exercises WinRT loading, language availability, recognition
powershell.exe -NoProfile -ExecutionPolicy Bypass -File lib/ocr.ps1 -ImagePath test.png -OutFile out.txt
Get-Content out.txt
```

Exit code 0 with an empty/whitespace `out.txt` means the OCR engine works (a 1×1 image has no text). Exit 2/3 means a language pack is missing.

## Verification inside dsh

1. Attach an image to a text-model session and send a message — the model should answer using the recognized text.
2. Confirm the image never goes out: open DevTools → Network in the web UI, inspect the request to your provider base URL, and verify the payload contains only `text` content parts (no `image_url` / data URI).

## Uninstall

```bash
dsh plugin --profile web remove dsh-windows-ocr
```

For manual installs, delete the `windows-ocr` row from your profile's `cordis.patch.yml` and restart `dsh --profile web`. The plugin restores the original `llm` shims on unload; a full restart is safest after removal. After uninstall, text-model image attachments are refused again (fail-closed).

## Limitations

- OCR language availability depends on installed Windows language packs (script exits 2/3 and the plugin degrades to a placeholder text).
- GIFs: Windows OCR recognizes the first frame.
- Cache is per process; a long-lived session keeps OCR text cached, bounded by `maxCacheEntries`.
- The plugin registers one fiber-scoped `agent/pre-step` listener and restores the `llm` capability shims on unload. A full restart is still the safest path after any dsh update.
- The model picker may show text models without an "image" badge (cosmetic only — `listModels` is shimmed consistently).
- If the OCR plugin is removed, image attachments to text models are refused again (fail-closed), not uploaded.

## License

MIT

dsh-windows-ocr

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