LLM Team UI v1.0 — full-stack local AI orchestration platform

Features:
- 20 team modes (brainstorm, debate, consensus, red team, etc.)
- 3 autonomous pipelines (research, model eval, knowledge extraction)
- AutoResearch Lab with ratchet engine (Karpathy-inspired)
- Multi-provider support (Ollama, OpenRouter, OpenAI, Anthropic)
- Admin panel (providers, models, timeouts, OpenRouter browser)
- History panel with copy/iterate/re-pipe workflow
- Context budget system (smart truncation, safe_query, overflow recovery)
- PostgreSQL persistence (team_runs, pipeline_runs, lab_experiments, lab_trials)
- Pure Python + embedded HTML/CSS/JS, no external JS dependencies
- Inline SVG score charts in Lab monitor
- SSE streaming for real-time output
- Systemd service with auto-restart

Stack: Flask + Ollama + PostgreSQL + Bun-compatible
Hardware: RTX A4000 (16GB) + 128GB RAM

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

llm-team-ui.service

@@ -0,0 +1,14 @@
+[Unit]
+Description=LLM Team UI - Multi-model team web interface
+After=network.target ollama.service
+
+[Service]
+Type=simple
+User=root
+WorkingDirectory=/root
+ExecStart=/usr/bin/python3 /root/llm_team_ui.py
+Restart=on-failure
+RestartSec=5
+
+[Install]
+WantedBy=multi-user.target