MacroPad/voice-to-notes
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Phase 1 foundation: Tauri shell, Python sidecar, SQLite database Tauri v2 + Svelte + TypeScript frontend: - App shell with workspace layout (waveform, transcript, speakers, AI chat) - Placeholder components for all major UI areas - Typed stores (project, transcript, playback, AI) - TypeScript interfaces matching the database schema - Tauri bridge service with typed invoke wrappers - svelte-check passes with 0 errors Rust backend: - Tauri v2 app entry point with command registration - SQLite database layer (rusqlite with bundled SQLite) - Full schema: projects, media_files, speakers, segments, words, ai_outputs, annotations (with indexes) - Model structs with serde serialization - CRUD queries for projects, speakers, segments, words - Segment text editing preserves original text - Schema versioning for future migrations - 6 tests passing - Command stubs for project, transcribe, export, AI, settings, system - App state management Python sidecar: - JSON-line IPC protocol (stdin/stdout) - Message types: IPCMessage, progress, error, ready - Handler registry with routing and error handling - Ping/pong handler for connectivity testing - Service stubs: transcribe, diarize, pipeline, AI, export - Provider stubs: local (llama-server), OpenAI, Anthropic, LiteLLM - Hardware detection stubs - 14 tests passing, ruff clean Also adds: - Testing strategy document (docs/TESTING.md) - Validation script (scripts/validate.sh) - Updated .gitignore for Svelte, Rust, Python artifacts Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-26 15:16:06 -08:00
{
"name": "voice-to-notes",
"version": "0.1.0",
"lockfileVersion": 3,
"requires": true,
"packages": {
"": {
"name": "voice-to-notes",
"version": "0.1.0",
"license": "MIT",
"dependencies": {
"@tauri-apps/api": "^2",
Add auto-scroll, file dialog, and transcript editing - Auto-scroll transcript to active segment during playback with smart pause when user manually scrolls (resumes after 3s) - Replace prompt() with native Tauri file dialog for audio/video import with file type filters - Add inline transcript editing via double-click with Enter to save, Esc to cancel, preserving original text for change tracking - Show "edited" badge on modified segments Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-26 16:02:27 -08:00
"@tauri-apps/plugin-dialog": "^2.6.0",
Phase 2: Core transcription pipeline and audio playback - Implement faster-whisper TranscribeService with word-level timestamps, progress reporting, and hardware auto-detection - Wire up Rust SidecarManager for Python process lifecycle (spawn, IPC, shutdown) - Add transcribe_file Tauri command bridging frontend to Python sidecar - Integrate wavesurfer.js WaveformPlayer with play/pause, skip, seek controls - Build TranscriptEditor with word-level click-to-seek and active highlighting - Connect file import flow: prompt → asset load → transcribe → display - Add typed tauri-bridge service with TranscriptionResult interface - Add Python tests for hardware detection and transcription result formatting Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-26 15:53:09 -08:00
"@tauri-apps/plugin-opener": "^2",
"@tiptap/core": "^3.20.0",
"@tiptap/pm": "^3.20.0",
"@tiptap/starter-kit": "^3.20.0",
"wavesurfer.js": "^7.12.1"
Phase 1 foundation: Tauri shell, Python sidecar, SQLite database Tauri v2 + Svelte + TypeScript frontend: - App shell with workspace layout (waveform, transcript, speakers, AI chat) - Placeholder components for all major UI areas - Typed stores (project, transcript, playback, AI) - TypeScript interfaces matching the database schema - Tauri bridge service with typed invoke wrappers - svelte-check passes with 0 errors Rust backend: - Tauri v2 app entry point with command registration - SQLite database layer (rusqlite with bundled SQLite) - Full schema: projects, media_files, speakers, segments, words, ai_outputs, annotations (with indexes) - Model structs with serde serialization - CRUD queries for projects, speakers, segments, words - Segment text editing preserves original text - Schema versioning for future migrations - 6 tests passing - Command stubs for project, transcribe, export, AI, settings, system - App state management Python sidecar: - JSON-line IPC protocol (stdin/stdout) - Message types: IPCMessage, progress, error, ready - Handler registry with routing and error handling - Ping/pong handler for connectivity testing - Service stubs: transcribe, diarize, pipeline, AI, export - Provider stubs: local (llama-server), OpenAI, Anthropic, LiteLLM - Hardware detection stubs - 14 tests passing, ruff clean Also adds: - Testing strategy document (docs/TESTING.md) - Validation script (scripts/validate.sh) - Updated .gitignore for Svelte, Rust, Python artifacts Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-26 15:16:06 -08:00
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Phase 2: Core transcription pipeline and audio playback - Implement faster-whisper TranscribeService with word-level timestamps, progress reporting, and hardware auto-detection - Wire up Rust SidecarManager for Python process lifecycle (spawn, IPC, shutdown) - Add transcribe_file Tauri command bridging frontend to Python sidecar - Integrate wavesurfer.js WaveformPlayer with play/pause, skip, seek controls - Build TranscriptEditor with word-level click-to-seek and active highlighting - Connect file import flow: prompt → asset load → transcribe → display - Add typed tauri-bridge service with TranscriptionResult interface - Add Python tests for hardware detection and transcription result formatting Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-26 15:53:09 -08:00
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2026-02-26 15:16:06 -08:00
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Add auto-scroll, file dialog, and transcript editing - Auto-scroll transcript to active segment during playback with smart pause when user manually scrolls (resumes after 3s) - Replace prompt() with native Tauri file dialog for audio/video import with file type filters - Add inline transcript editing via double-click with Enter to save, Esc to cancel, preserving original text for change tracking - Show "edited" badge on modified segments Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-26 16:02:27 -08:00
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2026-02-26 15:16:06 -08:00
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Phase 2: Core transcription pipeline and audio playback - Implement faster-whisper TranscribeService with word-level timestamps, progress reporting, and hardware auto-detection - Wire up Rust SidecarManager for Python process lifecycle (spawn, IPC, shutdown) - Add transcribe_file Tauri command bridging frontend to Python sidecar - Integrate wavesurfer.js WaveformPlayer with play/pause, skip, seek controls - Build TranscriptEditor with word-level click-to-seek and active highlighting - Connect file import flow: prompt → asset load → transcribe → display - Add typed tauri-bridge service with TranscriptionResult interface - Add Python tests for hardware detection and transcription result formatting Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-26 15:53:09 -08:00
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2026-02-26 15:16:06 -08:00
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2026-02-26 15:53:09 -08:00
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2026-02-26 15:16:06 -08:00
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2026-02-26 15:53:09 -08:00
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2026-02-26 15:16:06 -08:00
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Phase 2: Core transcription pipeline and audio playback - Implement faster-whisper TranscribeService with word-level timestamps, progress reporting, and hardware auto-detection - Wire up Rust SidecarManager for Python process lifecycle (spawn, IPC, shutdown) - Add transcribe_file Tauri command bridging frontend to Python sidecar - Integrate wavesurfer.js WaveformPlayer with play/pause, skip, seek controls - Build TranscriptEditor with word-level click-to-seek and active highlighting - Connect file import flow: prompt → asset load → transcribe → display - Add typed tauri-bridge service with TranscriptionResult interface - Add Python tests for hardware detection and transcription result formatting Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-26 15:53:09 -08:00
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Phase 1 foundation: Tauri shell, Python sidecar, SQLite database Tauri v2 + Svelte + TypeScript frontend: - App shell with workspace layout (waveform, transcript, speakers, AI chat) - Placeholder components for all major UI areas - Typed stores (project, transcript, playback, AI) - TypeScript interfaces matching the database schema - Tauri bridge service with typed invoke wrappers - svelte-check passes with 0 errors Rust backend: - Tauri v2 app entry point with command registration - SQLite database layer (rusqlite with bundled SQLite) - Full schema: projects, media_files, speakers, segments, words, ai_outputs, annotations (with indexes) - Model structs with serde serialization - CRUD queries for projects, speakers, segments, words - Segment text editing preserves original text - Schema versioning for future migrations - 6 tests passing - Command stubs for project, transcribe, export, AI, settings, system - App state management Python sidecar: - JSON-line IPC protocol (stdin/stdout) - Message types: IPCMessage, progress, error, ready - Handler registry with routing and error handling - Ping/pong handler for connectivity testing - Service stubs: transcribe, diarize, pipeline, AI, export - Provider stubs: local (llama-server), OpenAI, Anthropic, LiteLLM - Hardware detection stubs - 14 tests passing, ruff clean Also adds: - Testing strategy document (docs/TESTING.md) - Validation script (scripts/validate.sh) - Updated .gitignore for Svelte, Rust, Python artifacts Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-26 15:16:06 -08:00
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Phase 2: Core transcription pipeline and audio playback - Implement faster-whisper TranscribeService with word-level timestamps, progress reporting, and hardware auto-detection - Wire up Rust SidecarManager for Python process lifecycle (spawn, IPC, shutdown) - Add transcribe_file Tauri command bridging frontend to Python sidecar - Integrate wavesurfer.js WaveformPlayer with play/pause, skip, seek controls - Build TranscriptEditor with word-level click-to-seek and active highlighting - Connect file import flow: prompt → asset load → transcribe → display - Add typed tauri-bridge service with TranscriptionResult interface - Add Python tests for hardware detection and transcription result formatting Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-26 15:53:09 -08:00
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Phase 1 foundation: Tauri shell, Python sidecar, SQLite database Tauri v2 + Svelte + TypeScript frontend: - App shell with workspace layout (waveform, transcript, speakers, AI chat) - Placeholder components for all major UI areas - Typed stores (project, transcript, playback, AI) - TypeScript interfaces matching the database schema - Tauri bridge service with typed invoke wrappers - svelte-check passes with 0 errors Rust backend: - Tauri v2 app entry point with command registration - SQLite database layer (rusqlite with bundled SQLite) - Full schema: projects, media_files, speakers, segments, words, ai_outputs, annotations (with indexes) - Model structs with serde serialization - CRUD queries for projects, speakers, segments, words - Segment text editing preserves original text - Schema versioning for future migrations - 6 tests passing - Command stubs for project, transcribe, export, AI, settings, system - App state management Python sidecar: - JSON-line IPC protocol (stdin/stdout) - Message types: IPCMessage, progress, error, ready - Handler registry with routing and error handling - Ping/pong handler for connectivity testing - Service stubs: transcribe, diarize, pipeline, AI, export - Provider stubs: local (llama-server), OpenAI, Anthropic, LiteLLM - Hardware detection stubs - 14 tests passing, ruff clean Also adds: - Testing strategy document (docs/TESTING.md) - Validation script (scripts/validate.sh) - Updated .gitignore for Svelte, Rust, Python artifacts Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-26 15:16:06 -08:00
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Phase 2: Core transcription pipeline and audio playback - Implement faster-whisper TranscribeService with word-level timestamps, progress reporting, and hardware auto-detection - Wire up Rust SidecarManager for Python process lifecycle (spawn, IPC, shutdown) - Add transcribe_file Tauri command bridging frontend to Python sidecar - Integrate wavesurfer.js WaveformPlayer with play/pause, skip, seek controls - Build TranscriptEditor with word-level click-to-seek and active highlighting - Connect file import flow: prompt → asset load → transcribe → display - Add typed tauri-bridge service with TranscriptionResult interface - Add Python tests for hardware detection and transcription result formatting Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-26 15:53:09 -08:00
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Phase 1 foundation: Tauri shell, Python sidecar, SQLite database Tauri v2 + Svelte + TypeScript frontend: - App shell with workspace layout (waveform, transcript, speakers, AI chat) - Placeholder components for all major UI areas - Typed stores (project, transcript, playback, AI) - TypeScript interfaces matching the database schema - Tauri bridge service with typed invoke wrappers - svelte-check passes with 0 errors Rust backend: - Tauri v2 app entry point with command registration - SQLite database layer (rusqlite with bundled SQLite) - Full schema: projects, media_files, speakers, segments, words, ai_outputs, annotations (with indexes) - Model structs with serde serialization - CRUD queries for projects, speakers, segments, words - Segment text editing preserves original text - Schema versioning for future migrations - 6 tests passing - Command stubs for project, transcribe, export, AI, settings, system - App state management Python sidecar: - JSON-line IPC protocol (stdin/stdout) - Message types: IPCMessage, progress, error, ready - Handler registry with routing and error handling - Ping/pong handler for connectivity testing - Service stubs: transcribe, diarize, pipeline, AI, export - Provider stubs: local (llama-server), OpenAI, Anthropic, LiteLLM - Hardware detection stubs - 14 tests passing, ruff clean Also adds: - Testing strategy document (docs/TESTING.md) - Validation script (scripts/validate.sh) - Updated .gitignore for Svelte, Rust, Python artifacts Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-26 15:16:06 -08:00
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Phase 2: Core transcription pipeline and audio playback - Implement faster-whisper TranscribeService with word-level timestamps, progress reporting, and hardware auto-detection - Wire up Rust SidecarManager for Python process lifecycle (spawn, IPC, shutdown) - Add transcribe_file Tauri command bridging frontend to Python sidecar - Integrate wavesurfer.js WaveformPlayer with play/pause, skip, seek controls - Build TranscriptEditor with word-level click-to-seek and active highlighting - Connect file import flow: prompt → asset load → transcribe → display - Add typed tauri-bridge service with TranscriptionResult interface - Add Python tests for hardware detection and transcription result formatting Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-26 15:53:09 -08:00
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Phase 1 foundation: Tauri shell, Python sidecar, SQLite database Tauri v2 + Svelte + TypeScript frontend: - App shell with workspace layout (waveform, transcript, speakers, AI chat) - Placeholder components for all major UI areas - Typed stores (project, transcript, playback, AI) - TypeScript interfaces matching the database schema - Tauri bridge service with typed invoke wrappers - svelte-check passes with 0 errors Rust backend: - Tauri v2 app entry point with command registration - SQLite database layer (rusqlite with bundled SQLite) - Full schema: projects, media_files, speakers, segments, words, ai_outputs, annotations (with indexes) - Model structs with serde serialization - CRUD queries for projects, speakers, segments, words - Segment text editing preserves original text - Schema versioning for future migrations - 6 tests passing - Command stubs for project, transcribe, export, AI, settings, system - App state management Python sidecar: - JSON-line IPC protocol (stdin/stdout) - Message types: IPCMessage, progress, error, ready - Handler registry with routing and error handling - Ping/pong handler for connectivity testing - Service stubs: transcribe, diarize, pipeline, AI, export - Provider stubs: local (llama-server), OpenAI, Anthropic, LiteLLM - Hardware detection stubs - 14 tests passing, ruff clean Also adds: - Testing strategy document (docs/TESTING.md) - Validation script (scripts/validate.sh) - Updated .gitignore for Svelte, Rust, Python artifacts Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-26 15:16:06 -08:00
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Phase 2: Core transcription pipeline and audio playback - Implement faster-whisper TranscribeService with word-level timestamps, progress reporting, and hardware auto-detection - Wire up Rust SidecarManager for Python process lifecycle (spawn, IPC, shutdown) - Add transcribe_file Tauri command bridging frontend to Python sidecar - Integrate wavesurfer.js WaveformPlayer with play/pause, skip, seek controls - Build TranscriptEditor with word-level click-to-seek and active highlighting - Connect file import flow: prompt → asset load → transcribe → display - Add typed tauri-bridge service with TranscriptionResult interface - Add Python tests for hardware detection and transcription result formatting Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-26 15:53:09 -08:00
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2026-02-26 15:16:06 -08:00
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Phase 2: Core transcription pipeline and audio playback - Implement faster-whisper TranscribeService with word-level timestamps, progress reporting, and hardware auto-detection - Wire up Rust SidecarManager for Python process lifecycle (spawn, IPC, shutdown) - Add transcribe_file Tauri command bridging frontend to Python sidecar - Integrate wavesurfer.js WaveformPlayer with play/pause, skip, seek controls - Build TranscriptEditor with word-level click-to-seek and active highlighting - Connect file import flow: prompt → asset load → transcribe → display - Add typed tauri-bridge service with TranscriptionResult interface - Add Python tests for hardware detection and transcription result formatting Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-26 15:53:09 -08:00
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2026-02-26 15:16:06 -08:00
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Phase 2: Core transcription pipeline and audio playback - Implement faster-whisper TranscribeService with word-level timestamps, progress reporting, and hardware auto-detection - Wire up Rust SidecarManager for Python process lifecycle (spawn, IPC, shutdown) - Add transcribe_file Tauri command bridging frontend to Python sidecar - Integrate wavesurfer.js WaveformPlayer with play/pause, skip, seek controls - Build TranscriptEditor with word-level click-to-seek and active highlighting - Connect file import flow: prompt → asset load → transcribe → display - Add typed tauri-bridge service with TranscriptionResult interface - Add Python tests for hardware detection and transcription result formatting Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-26 15:53:09 -08:00
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2026-02-26 15:16:06 -08:00
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Phase 2: Core transcription pipeline and audio playback - Implement faster-whisper TranscribeService with word-level timestamps, progress reporting, and hardware auto-detection - Wire up Rust SidecarManager for Python process lifecycle (spawn, IPC, shutdown) - Add transcribe_file Tauri command bridging frontend to Python sidecar - Integrate wavesurfer.js WaveformPlayer with play/pause, skip, seek controls - Build TranscriptEditor with word-level click-to-seek and active highlighting - Connect file import flow: prompt → asset load → transcribe → display - Add typed tauri-bridge service with TranscriptionResult interface - Add Python tests for hardware detection and transcription result formatting Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-26 15:53:09 -08:00
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2026-02-26 15:16:06 -08:00
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Phase 2: Core transcription pipeline and audio playback - Implement faster-whisper TranscribeService with word-level timestamps, progress reporting, and hardware auto-detection - Wire up Rust SidecarManager for Python process lifecycle (spawn, IPC, shutdown) - Add transcribe_file Tauri command bridging frontend to Python sidecar - Integrate wavesurfer.js WaveformPlayer with play/pause, skip, seek controls - Build TranscriptEditor with word-level click-to-seek and active highlighting - Connect file import flow: prompt → asset load → transcribe → display - Add typed tauri-bridge service with TranscriptionResult interface - Add Python tests for hardware detection and transcription result formatting Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-26 15:53:09 -08:00
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2026-02-26 15:16:06 -08:00
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Phase 2: Core transcription pipeline and audio playback - Implement faster-whisper TranscribeService with word-level timestamps, progress reporting, and hardware auto-detection - Wire up Rust SidecarManager for Python process lifecycle (spawn, IPC, shutdown) - Add transcribe_file Tauri command bridging frontend to Python sidecar - Integrate wavesurfer.js WaveformPlayer with play/pause, skip, seek controls - Build TranscriptEditor with word-level click-to-seek and active highlighting - Connect file import flow: prompt → asset load → transcribe → display - Add typed tauri-bridge service with TranscriptionResult interface - Add Python tests for hardware detection and transcription result formatting Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-26 15:53:09 -08:00
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Phase 1 foundation: Tauri shell, Python sidecar, SQLite database Tauri v2 + Svelte + TypeScript frontend: - App shell with workspace layout (waveform, transcript, speakers, AI chat) - Placeholder components for all major UI areas - Typed stores (project, transcript, playback, AI) - TypeScript interfaces matching the database schema - Tauri bridge service with typed invoke wrappers - svelte-check passes with 0 errors Rust backend: - Tauri v2 app entry point with command registration - SQLite database layer (rusqlite with bundled SQLite) - Full schema: projects, media_files, speakers, segments, words, ai_outputs, annotations (with indexes) - Model structs with serde serialization - CRUD queries for projects, speakers, segments, words - Segment text editing preserves original text - Schema versioning for future migrations - 6 tests passing - Command stubs for project, transcribe, export, AI, settings, system - App state management Python sidecar: - JSON-line IPC protocol (stdin/stdout) - Message types: IPCMessage, progress, error, ready - Handler registry with routing and error handling - Ping/pong handler for connectivity testing - Service stubs: transcribe, diarize, pipeline, AI, export - Provider stubs: local (llama-server), OpenAI, Anthropic, LiteLLM - Hardware detection stubs - 14 tests passing, ruff clean Also adds: - Testing strategy document (docs/TESTING.md) - Validation script (scripts/validate.sh) - Updated .gitignore for Svelte, Rust, Python artifacts Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-26 15:16:06 -08:00
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