chore: prepare 0.6.0 Linux and Windows release
This commit is contained in:
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name: Linux desktop release
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# Manual until a native Linux runner is registered. The current 0.5.2
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# Manual until a native Linux runner is registered. The current 0.6.0
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# packages are built locally using the identical gates documented below.
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on:
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workflow_dispatch:
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inputs:
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tag:
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description: Existing stable version tag to package (for example v0.5.2)
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description: Existing stable version tag to package (for example v0.6.0)
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required: true
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type: string
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@@ -1,6 +1,6 @@
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# Desktop builds and releases
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For this fork’s Linux and Windows 0.5.2 release on Gitea, see [Gitea releases](gitea-release.md).
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For this fork’s Linux and Windows 0.6.0 release on Gitea, see [Gitea releases](gitea-release.md).
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The three-platform GitHub process below documents the upstream reference.
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## Platforms
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The release destination is
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https://server2.sorokin-oleg-edu.xyz/replicated/learnharness.
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Version **0.5.2 targets Linux x64 and Windows x64**, with each platform built
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Version **0.6.0 targets Linux x64 and Windows x64**, with each platform built
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and verified on its native operating system. The upstream GitHub workflow and three-platform packaging
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configuration remain available as reference in `.github/workflows/release.yml`
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and `electron-builder.yml`.
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@@ -48,18 +48,18 @@ node scripts/smoke-provider-runtime.mjs --standalone dist/linux-unpacked/resourc
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xvfb-run -a node scripts/smoke-demo-runtime.mjs --standalone dist/linux-unpacked/resources/server/standalone --runtime dist/linux-unpacked/learnharness --browser
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```
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The Linux portion of 0.5.2 has these attachments:
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The Linux portion of 0.6.0 has these attachments:
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- `LearnHarness-0.5.2-x86_64.AppImage`
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- `LearnHarness-0.5.2-amd64.deb`
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- `LearnHarness-0.6.0-x86_64.AppImage`
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- `LearnHarness-0.6.0-amd64.deb`
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- `latest-linux.yml`
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- `SHA256SUMS`
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## Preparing Windows packages
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Use a clean checkout of the same `v0.5.2` tag on Windows x64 with Node 26 and Git
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Use a clean checkout of the same `v0.6.0` tag on Windows x64 with Node 26 and Git
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for Windows. Keep build tools and logs outside the checkout. The Windows
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release checkout is `~/Documents/Gitea/learnharness-release-0.5.2`, linked to the
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release checkout is `~/Documents/Gitea/learnharness-release-0.6.0`, linked to the
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existing repository in `~/Documents/Gitea/learnharness`.
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In PowerShell, stop after any failed command:
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@@ -85,13 +85,13 @@ node scripts/smoke-demo-runtime.mjs --standalone dist/win-unpacked/resources/ser
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Windows contributes three attachments:
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- `LearnHarness-0.5.2-x64-setup.exe`
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- `LearnHarness-0.5.2-x64-setup.exe.blockmap`
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- `LearnHarness-0.6.0-x64-setup.exe`
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- `LearnHarness-0.6.0-x64-setup.exe.blockmap`
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- `latest.yml`
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The combined release has **seven attachments**, including one `SHA256SUMS`
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covering all six other files. Verify that `latest.yml` names the Windows
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installer exactly, reports version `0.5.2`, and matches the installer's actual
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installer exactly, reports version `0.6.0`, and matches the installer's actual
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size and SHA-512. Its gzip blockmap must cover the installer and match every
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block checksum. Confirm the packaged `resources/app-update.yml` uses the Gitea
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generic provider. Windows builds follow upstream's unsigned, per-user installer
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@@ -102,8 +102,8 @@ configuration.
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Commit and push the release source, then push its exact annotated tag:
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```sh
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git tag -a v0.5.2 -m 'LearnHarness 0.5.2'
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git push gitea main v0.5.2
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git tag -a v0.6.0 -m 'LearnHarness 0.6.0'
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git push gitea main v0.6.0
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```
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Supply `GITEA_TOKEN` only to the upload command. A token file may remain outside
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@@ -117,14 +117,14 @@ The tool requires the tag to exist in Gitea, creates or reuses one draft at that
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tag, uploads missing assets, and downloads every attachment to verify its actual
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SHA-256 against the local verified build. Existing mismatched attachments and
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published releases are refused. It never publishes or changes repository
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visibility. Release notes come from `docs/release-0.5.2.md`.
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visibility. Release notes come from `docs/release-0.6.0.md`.
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This uploader and its remote verifier enforce a **Linux-only** inventory. They
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will refuse a combined Linux/Windows draft. For the combined 0.5.2 release, add
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will refuse a combined Linux/Windows draft. For the combined 0.6.0 release, add
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the verified Windows attachments to the existing draft and replace `SHA256SUMS`
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with the combined manifest. Keep the Linux installers and feed unchanged. Check
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all seven attachment names and sizes against the verified local builds. For
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the owner-approved 0.5.2 release, local installer/feed/blockmap validation and
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the owner-approved 0.6.0 release, local installer/feed/blockmap validation and
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the combined checksum manifest are completed before upload. Confirm successful
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upload responses and publish immediately afterward; do not download attachments
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again or run post-upload hash checks. Do not publish until both platforms'
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@@ -145,12 +145,12 @@ public `latest` feed and in-app automatic updates expose this version.
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workflow with an existing release tag as input. It requires a native Linux x64
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runner labeled `ubuntu-24.04`, the label used by upstream's Linux release job,
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plus the native Electron dependencies and `xvfb-run`. There were no runners
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registered when 0.5.2 was prepared, so its packages are built locally. A tag push
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registered when 0.6.0 was prepared, so its packages are built locally. A tag push
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does not queue a job that cannot run.
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The workflow uses the repository's ephemeral `GITEA_TOKEN` with release-write
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permission only in the final upload step. It checks out the requested tag without
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persisting credentials and leaves the result as a verified draft. Public pull
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requests cannot trigger this publishing workflow. This workflow remains
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Linux-only; the combined 0.5.2 draft was assembled from local native builds.
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Linux-only; the combined 0.6.0 draft was assembled from local native builds.
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Windows has its own standalone payload and smoke checks, as described above.
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@@ -0,0 +1,63 @@
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# LearnHarness 0.6.0
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## English
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This release adds OpenRouter speech recognition and a dedicated speech-recognition
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settings page, with cleaner controls in English and Russian.
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- **OpenRouter STT:** choose **MAI-Transcribe-2 · OpenRouter** and add your
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OpenRouter API key under **Settings → Providers**. The app records locally,
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sends the whole recording after **Stop**, and shows **Transcribing…** until
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the complete transcript is ready. Audio is not split into speech segments.
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Cancelling aborts the request; submitting an answer or message waits for
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transcription. The permanent API key stays on the server and audio is not
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saved to disk. Recordings are limited to 25 MB, about 13 minutes.
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- **Settings → Speech recognition** now contains the model, recognition language,
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and preferred languages. The two model choices use the same format:
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**Nova-3 · Deepgram** and **MAI-Transcribe-2 · OpenRouter**. General settings
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contains only interface language and automatic updates.
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- **Preferred languages** uses a styled checkbox dropdown aligned on the right.
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It stays open while selecting English and Russian, shows **No preference**
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when neither is selected, and no longer dims or flashes while saving.
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These hints remain available for Deepgram Multilingual. MAI uses automatic
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language detection for Multilingual; its API does not expose a RU + EN hint
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list. Saved hints are retained when switching models.
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- On Linux, clicking an available **Fast** button keeps the normal cursor while
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the setting is saved.
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Existing settings remain compatible and direct Deepgram Nova-3 remains the
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default. Linux x64 packages include AppImage and Debian; Windows x64 has an
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installer. Both platforms use this fork's public Gitea releases for automatic
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updates. The Windows installer remains unsigned, as in previous releases.
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## Русский
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В этом выпуске добавлено распознавание речи через OpenRouter и отдельный раздел
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его настроек. Элементы управления обновлены на русском и английском языках.
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- **Распознавание через OpenRouter:** выберите **MAI-Transcribe-2 · OpenRouter**
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и добавьте API-ключ OpenRouter в разделе **Настройки → Провайдеры**. Приложение
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записывает речь локально, отправляет всю запись после остановки и показывает
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**Распознавание…** до получения полного текста. Речь не разбивается на
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отдельные фрагменты. Отмена прерывает запрос, а отправка ответа или сообщения
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дожидается завершения распознавания. Постоянный API-ключ остаётся на сервере,
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аудио не сохраняется на диск. Максимальный размер записи — 25 МБ, примерно
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13 минут.
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- Новый раздел **Настройки → Распознавание речи** содержит выбор модели, языка
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распознавания и предпочитаемых языков. Названия моделей оформлены одинаково:
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**Nova-3 · Deepgram** и **MAI-Transcribe-2 · OpenRouter**. В разделе «Общие»
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остались только язык интерфейса и автоматические обновления.
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- **Предпочитаемые языки** выбираются в оформленном в стиле приложения
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выпадающем меню с флажками справа. Меню остаётся открытым при выборе русского
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и английского. Если оба флажка сняты, отображается **Без предпочтений**.
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Во время сохранения меню больше не тускнеет и не мигает. Подсказки работают
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в многоязычном режиме Deepgram. MAI определяет языки автоматически: его API
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не предоставляет списка подсказок RU + EN. Сохранённые предпочтения остаются
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при переключении моделей.
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- В Linux нажатие доступной кнопки **Быстро** больше не меняет курсор на время
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сохранения настройки.
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Прежние настройки совместимы; по умолчанию по-прежнему используется Deepgram
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Nova-3 напрямую. Для Linux x64 доступны AppImage и Debian, для Windows x64 —
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установщик. Обе версии получают автоматические обновления из публичных выпусков
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этого форка в Gitea. Установщик Windows не подписан, как и в предыдущих выпусках.
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Generated
+2
-2
@@ -1,12 +1,12 @@
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{
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"name": "learnharness",
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"version": "0.5.2",
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"version": "0.6.0",
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"lockfileVersion": 3,
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"requires": true,
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"packages": {
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"": {
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"name": "learnharness",
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"version": "0.5.2",
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"version": "0.6.0",
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"license": "AGPL-3.0-only",
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"dependencies": {
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"@earendil-works/pi-agent-core": "1.4.0",
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+1
-1
@@ -1,6 +1,6 @@
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{
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"name": "learnharness",
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"version": "0.5.2",
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"version": "0.6.0",
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"license": "AGPL-3.0-only",
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"author": {
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"name": "Amos Blomqvist",
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