* polish: streamline nav, extract inline styles, improve tablet UX
- Restructure desktop nav from 8+ flat links + overflow dropdown into
5 grouped dropdowns (Core, Agents, Intel, System, More) matching
the mobile menu structure to reduce decision fatigue
- Extract all inline styles from mission_control.html and base.html
notification elements into mission-control.css with semantic classes
- Replace JS-built innerHTML with secure DOM construction in
notification loader and chat history
- Add CONNECTING state to connection indicator (amber) instead of
showing OFFLINE before WebSocket connects
- Add tablet breakpoint (1024px) with larger touch targets for
Apple Pencil / stylus use and safe-area padding for iPad toolbar
- Add active-link highlighting in desktop dropdown menus
- Rename "Mission Control" page title to "System Overview" to
disambiguate from the chat home page
- Add "Home — Timmy Time" page title to index.html
https://claude.ai/code/session_015uPUoKyYa8M2UAcyk5Gt6h
* fix(security): move auth-gate credentials to environment variables
Hardcoded username, password, and HMAC secret in auth-gate.py replaced
with os.environ lookups. Startup now refuses to run if any variable is
unset. Added AUTH_GATE_SECRET/USER/PASS to .env.example.
https://claude.ai/code/session_015uPUoKyYa8M2UAcyk5Gt6h
* refactor(tooling): migrate from black+isort+bandit to ruff
Replace three separate linting/formatting tools with a single ruff
invocation. Updates tox.ini (lint, format, pre-push, pre-commit envs),
.pre-commit-config.yaml, and CI workflow. Fixes all ruff errors
including unused imports, missing raise-from, and undefined names.
Ruff config maps existing bandit skips to equivalent S-rules.
https://claude.ai/code/session_015uPUoKyYa8M2UAcyk5Gt6h
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Co-authored-by: Claude <noreply@anthropic.com>
- Add MultiModalManager with capability detection for vision/audio/tools
- Define fallback chains: vision (llama3.2:3b -> llava:7b -> moondream)
tools (llama3.1:8b-instruct -> qwen2.5:7b)
- Update CascadeRouter to detect content type and select appropriate models
- Add model pulling with automatic fallback in agent creation
- Update providers.yaml with multi-modal model configurations
- Update OllamaAdapter to use model resolution with vision support
Tests: All 96 infrastructure tests pass
