[Sync] adopt unified stow layout from the private repo

Mirrors the private dots tree at 900bdda: one shared base plus per-host
overlays, replacing the old flat .config/ layout (last synced 2026-06-28).

- packages: common/ gui/ wm/ lw/ fl/ + install.sh and bin/ tooling (dotsync,
  reconcile-hyde.sh)
- new README (layout, deploy order, HyDE dependency), plus ToDo.md and
  HYDE-UPDATE.md
- current HyDE waybar rig (layouts/, cava), pi agent extensions, claude/
  config, tmux, presenterm, aichat roles
- drops stale duplicates and generated cruft that should never have been
  tracked: the second top-level .pi/ copy, btop.log, zellij config.kdl.bak,
  fish_variables, nvim codecompanion.lua
- .pi/agent/auth.json is gitignored now; auth.json.example ships instead
- fl/ and wm/ hypr themes/ stay untracked (HyDE-generated per machine, per
  the root .gitignore)

lw/.config/aichat/config.yaml

@@ -0,0 +1,81 @@
+# LW HOST OVERLAY — full-file copy of common/.config/aichat/config.yaml plus the `lw` client
+# (this laptop's own llama.cpp server at 127.0.0.1:11343; see lw/.config/llamacpp/README.md).
+# Stowed with --override so it shadows the common file on lw only. When the common config
+# changes, mirror the change here.
+# see https://github.com/sigoden/aichat/blob/main/config.example.yaml
+keybindings: vi
+editor: nvim
+model: local:Qwen3-Coder-30B-Instruct-UD-Q3_K_XL
+
+# Sessions: persist REPL sessions and keep more history before summarizing.
+# The default compress_threshold (4000) summarizes far too early for 24k+ windows.
+save_session: true
+compress_threshold: 16000
+
+# REPL prompts show live context usage (needs max_input_tokens, set per model below)
+left_prompt:  '{color.green}{?session {session}{?role /}}{role}{color.cyan}{?rag @{rag}}{color.reset}> '
+right_prompt: '{color.purple}{?session {consume_tokens}/{max_input_tokens} }{color.reset}'
+
+# NOTE: temperature/top_p are intentionally unset — the LAN server applies tuned
+# per-model sampling via --jinja (e.g. GLM 0.6/0.95); a global value would clobber it.
+
+# max_input_tokens = real ctx-size (from the router) minus output headroom.
+clients:
+# This laptop's own CPU server (llamaserver abbr; works everywhere, no network needed).
+# Speeds are benched decode t/s — see lw/.config/llamacpp/README.md roster.
+- type: openai-compatible
+  name: lw
+  api_base: http://127.0.0.1:11343/v1
+  models:
+  - name: gemma-4-E2B-it-UD-Q4_K_XL
+    max_input_tokens: 3000             # ctx 4096 · ~6 t/s — fastest, quick Q&A
+  - name: Granite-4.0-H-Tiny
+    max_input_tokens: 6000             # ctx 8192 · ~4.8 t/s — speed AND brains
+  - name: Qwen3-1.7B
+    max_input_tokens: 6000             # ctx 8192 · ~4.8 t/s — thinking, snappy
+  - name: Qwen3-4B-Instruct-2507
+    max_input_tokens: 3000             # ctx 4096 · ~3.9 t/s — daily driver
+  - name: Qwen2.5-Coder-3B-Instruct
+    max_input_tokens: 6000             # ctx 8192 · ~3.3 t/s — small coder
+  - name: Qwen3-30B-A3B-Instruct-2507-UD-IQ3_XXS
+    max_input_tokens: 3000             # ctx 4096 · ~2.7 t/s — quality when you can wait
+  - name: Jan-v3-4b
+    max_input_tokens: 3000             # ctx 4096 · ~2.6 t/s — agentic tune
+  - name: gemma-4-E4B-it-UD-Q4_K_XL
+    max_input_tokens: 3000             # ctx 4096 · ~2.5 t/s — quality (vision once mmproj added)
+# LAN access to the fl box (fast; only reachable on the home network)
+- type: openai-compatible
+  name: local
+  api_base: http://192.168.0.204:11343/v1
+  models: &lan_models
+  - name: Qwen3-Coder-30B-Instruct-UD-Q3_K_XL
+    max_input_tokens: 30000            # ctx 32768
+  - name: Qwen3-Coder-Next-UD-IQ3_XXS
+    max_input_tokens: 128000           # ctx 131072
+  - name: Qwen3.6-35B-A3B-MTP-UD-IQ3_XXS
+    max_input_tokens: 22000            # ctx 24576
+    supports_vision: true
+  - name: Qwen3.6-35B-A3B-Thinking
+    max_input_tokens: 22000            # ctx 24576
+    supports_vision: true
+  - name: Qwen3.5-9B-UD-Q6_K_XL
+    max_input_tokens: 30000            # ctx 32768
+    supports_vision: true
+  - name: gemma-4-26B-A4B-it-UD-IQ4_XS
+    max_input_tokens: 22000            # ctx 24576
+    supports_vision: true
+  - name: gemma-4-E4B-it-UD-Q8_K_XL
+    max_input_tokens: 62000            # ctx 65536
+    supports_vision: true
+  - name: GLM-4.7-Flash-UD-Q4_K_XL
+    max_input_tokens: 22000            # ctx 24576
+  - name: gpt-oss-20b
+    max_input_tokens: 62000            # ctx 65536
+  - name: gpt-oss-20b-low
+    max_input_tokens: 62000            # ctx 65536
+# Remote access via duskadiy.com (reachable from anywhere; no key required)
+# Same server, same model ids — reuse the list above via a YAML anchor.
+- type: openai-compatible
+  name: duskadiy
+  api_base: https://llm.duskadiy.com/api/v1
+  models: *lan_models