salvacybersec/anything-llm-rag
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3176ebf102c64234acb677ba80fecf92b6884086
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4 Commits

Author SHA1 Message Date
salvacybersec
3176ebf102 Fix batch size (20→5) and script detection in monitor 
- Reduce embed batch to 5 — AnythingLLM hangs on batches >10
- Fix check_script_running() to properly detect setup.py process
  (was returning false because pgrep matched monitor.py too)

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
 2026-04-07 00:33:35 +03:00
salvacybersec
1028d11507 Add structured logging + log panel to monitor 
- setup.py: logging module with file (setup.log) + console output
  - Line-buffered output (fixes background execution buffering)
  - API calls with timeout (300s), retry (3x), debug logging
  - Per-batch progress: [1/29] persona batch 1/20 (20 docs)
  - --verbose flag for debug-level console
- monitor.py: log tail in CLI + web dashboard
  - CLI: colorized last 15 log lines
  - Web: scrollable log panel with level-based colors
- Smaller embed batches (20 instead of 50) for reliability

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
 2026-04-07 00:30:29 +03:00
salvacybersec
c45efcb261 Add --reassign mode for fast vector recovery without disk scanning 
Skips the slow folder scan (50K+ files) and upload phases — directly
re-embeds already-uploaded documents to workspaces using progress state.
Use with --reset to clear assignment tracking first.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
 2026-04-07 00:04:36 +03:00
salvacybersec
9e9b75e0b3 Initial commit: AnythingLLM persona RAG integration 
28 persona workspace with document upload, OCR pipeline, and vector embedding
assignment via AnythingLLM API. Supports 5 clusters (intel, cyber, military,
humanities, engineering) with batch processing and resume capability.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
 2026-04-06 23:07:44 +03:00