rootandClaude Opus 4.6 3f19ad5d93 LLM Team integration: extract mode processes 8 conversations ...

- process_knowledge.py: routes PDF content through devop.live /api/run
- Uses extract mode: LLM extracts facts/entities/relationships, verifier checks
- 543 extractions (279 facts, 264 entities) from 8 conversations
- 60 verified entries from gemma2 cross-checking
- All stored as queryable Parquet (processed_extractions, processed_validated)
- Streaming SSE parsing for LLM Team responses
- This proves the architecture: Lakehouse storage + devop.live processing

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

2026-03-28 00:22:29 -05:00

..

deep_analysis.py

Multi-pass deep analysis workflow: dynamic knowledge discovery

2026-03-27 23:12:13 -05:00

extract_knowledge.py

Metacognitive knowledge extraction: 496 topics, 300 decisions, 100 insights

2026-03-27 23:06:36 -05:00

generate_demo.py

Phase 6: Ingest pipeline — CSV, JSON, PDF, text file support

2026-03-27 08:07:31 -05:00

process_knowledge.py

LLM Team integration: extract mode processes 8 conversations

2026-03-28 00:22:29 -05:00

scale_test.py

Scale test: 2.47M rows + 10K vector index benchmarked

2026-03-27 08:31:37 -05:00

serve_ui.py

Systemd services: gateway, sidecar, UI survive reboots

2026-03-27 22:06:28 -05:00

staffing_demo.py

PRD v2: production roadmap with ingest, vector search, hot cache phases

2026-03-27 07:54:24 -05:00

stress_test.py

Stress test suite: 9/9 passed — architecture validated

2026-03-27 22:13:27 -05:00