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docs: harden v5.0 spec based on review
- GGUF GPU: child process isolation with crash detection/restart - Event bus: versioned payload schemas for all events - Plugin sandbox: 5s handler timeout, IPC delegation for heavy ops - AI streaming: full lifecycle with requestId, cancel, heartbeat, orphan cleanup - Comment anchors: context-based positioning (not byte offsets) with re-anchor on file change - Cross-plugin: capability discovery, 30s timeout, graceful degradation - Bundle size: GPU variants as lazy downloads, not bundled by default - Command uniqueness: registry rejects duplicates at load time Amit Haridas
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@@ -126,12 +126,23 @@ Each plugin's `init()` receives:
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### Event Bus Events
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Each event has a versioned payload schema. Breaking changes increment the version suffix.
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```
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document:opened, document:saved, document:changed,
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editor:selection-changed, tab:switched, tab:closed,
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export:started, export:completed, export:failed,
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plugin:loaded, plugin:activated, plugin:deactivated,
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app:ready, app:before-quit
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document:opened → { filePath: string, tabId: string }
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document:saved → { filePath: string, tabId: string }
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document:changed → { tabId: string, content: string, wordCount: number }
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editor:selection-changed → { tabId: string, text: string, from: {line,ch}, to: {line,ch} }
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tab:switched → { tabId: string, filePath: string }
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tab:closed → { tabId: string, filePath: string }
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export:started → { format: string, filePath: string }
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export:completed → { format: string, filePath: string, outputPath: string }
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export:failed → { format: string, error: string }
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plugin:loaded → { pluginId: string, version: string }
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plugin:activated → { pluginId: string }
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plugin:deactivated → { pluginId: string }
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app:ready → {}
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app:before-quit → {}
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```
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### Design Rules
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@@ -139,8 +150,9 @@ app:ready, app:before-quit
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- Built-in plugins use the same API as future third-party plugins
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- Lazy activation — sidebar panels don't load until clicked
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- Scoped settings: `plugins.<id>.<key>` in electron-store
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- Plugin errors caught and shown as notifications, never crash the app
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- Plugin commands namespaced `<plugin-id>:<command-id>`
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- Plugin commands globally unique — registry rejects duplicate command IDs at load time
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- **Plugin sandboxing**: each plugin handler is wrapped in try/catch. For CPU-intensive operations (AI inference, diff computation), plugins must delegate to main process via IPC. Handlers that block the renderer for >5s trigger a warning notification. Memory-hungry operations (GGUF inference) run in isolated child processes.
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- **Cross-plugin graceful degradation**: plugins check `context.events.hasHandler('ai:analyze')` before emitting cross-plugin requests. If no handler (AI plugin disabled), show a "this feature requires the AI plugin" prompt instead of failing silently. All cross-plugin calls have a 30s timeout with default fallback behavior.
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---
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@@ -256,7 +268,8 @@ AI Plugin
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- "Keep model loaded" option for faster repeated requests
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- WASM fallback for sandboxed environments (CPU-only)
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- External binary path for advanced users with custom builds
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- Process management: spawn llama.cpp in server mode, clean up on app quit
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- **Process isolation**: llama.cpp runs as a spawned child process (not in main process). If it crashes, detected via exit handler, auto-restarted with notification. GPU memory freed on crash. App remains stable.
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- Process management: spawn in server mode on localhost ephemeral port, clean up on app quit or model unload
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**Cloud (Anthropic/OpenAI):**
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- API key stored encrypted via electron safeStorage
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@@ -269,11 +282,28 @@ All provider HTTP requests go through main process:
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- No CORS issues
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- API keys never in renderer
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- Main process enforces rate limiting
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- GGUF inference in main process
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- GGUF inference in isolated child process
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**Request/response lifecycle:**
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```
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Renderer → ipc.invoke('ai:complete') → Main → HTTP to provider → result → Renderer
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Renderer → ipc.invoke('ai:stream') → Main → HTTP stream → ipc.on('ai:chunk') → Renderer
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```
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**Streaming lifecycle with error handling:**
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```
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Renderer → ipc.invoke('ai:stream', { requestId, prompt })
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← Main assigns requestId, returns { requestId }
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← ipc.on('ai:chunk', { requestId, text }) — repeated
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← ipc.on('ai:done', { requestId }) — success
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← ipc.on('ai:error', { requestId, error }) — failure
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// Cancellation
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Renderer → ipc.invoke('ai:cancel', { requestId })
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← Main aborts HTTP request, emits 'ai:done'
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// Orphan cleanup: if renderer disconnects (crash/close),
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// main process detects via 'render-view-deleted' and aborts all active streams.
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// Heartbeat: if no chunk received in 30s, main emits 'ai:error' with timeout.
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```
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### Features
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@@ -326,7 +356,12 @@ Inline comments stored as JSON in `.comments/` directory (git-tracked):
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{
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"id": "uuid",
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"file": "03-chapter-three.md",
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"range": { "start": 142, "end": 189 },
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"anchor": {
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"contextBefore": "The hero looked at the horizon and said,",
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"selectedText": "I will not go quietly into that dark night",
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"contextAfter": "He turned to face the army alone."
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},
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"line": 142,
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"text": "This dialogue feels unnatural",
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"author": "amit",
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"timestamp": "2026-04-14T14:30:00Z",
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@@ -335,6 +370,7 @@ Inline comments stored as JSON in `.comments/` directory (git-tracked):
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}
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```
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- **Anchor-based positioning**: comments store `contextBefore`, `selectedText`, and `contextAfter` (not absolute byte offsets). On file change, re-anchor by searching for the context text. If context no longer matches, mark comment as "detached" and show a warning. Falls back to `line` number as rough position.
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- Highlighted text in editor with tooltip on hover
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- Comment panel in sidebar: all unresolved comments across files
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- Resolution workflow: add → address → reply → resolve
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@@ -375,10 +411,11 @@ context.events.on('comment:added', (comment) => { /* AI could suggest fix */ });
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## Bundle Size Impact
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- llama.cpp binaries: ~15MB per GPU variant, only target platform shipped
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- llama.cpp binaries: ~15MB per GPU variant. Only target platform shipped. GPU variants (CUDA/Vulkan/Metal) downloaded on demand if user enables GGUF direct loading — not bundled by default. Only CPU fallback bundled (~15MB).
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- Plugin system core: ~30KB
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- Each built-in plugin: ~50-100KB
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- Total estimated increase: ~50-70MB (primarily from llama.cpp binaries)
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- Diff library (jsdiff): ~15KB
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- Total estimated increase: ~20-30MB (core), additional ~30-50MB per GPU variant (lazy download)
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## Testing Strategy
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