[Sync] LLM clients → Qwen3.6-35B-A3B-Thinking default, Ornith preset, fl GPU monitor abbrs

Re-export of private HEAD 73b4a65: default-model flip + 8k thinking budget
in the aichat/opencode/pi client configs, the Ornith-1.5-35B-A3B preset and
its gate bench in fl/.config/llamacpp, and the fl fish abbrs `vram` /
`vramx` with the new gpumon.sh (sysfs VRAM/GTT monitor).

common/.pi/README.md

@@ -175,7 +175,8 @@ Beyond pointing at local models, these values deviate from pi's defaults:
 | `compaction.keepRecentTokens` | `4000` | 20000 | keep less verbatim, to pay for the larger reserve and leave room after a compaction for the next one |
 | `npmCommand` | `fnm exec --using=22 -- npm` | `npm` | pin extension npm installs to Node 22 via fnm |
 | `retry` / `httpIdleTimeoutMs` | long (1h provider timeout, 10m idle) | shorter | local models can be slow to first token |
-| `defaultThinkingLevel` | `off` | — | most local models here are non-reasoning |
+| `defaultThinkingLevel` | `medium` | — | the default model is a thinking preset (`Qwen3.6-35B-A3B-Thinking`); Alt+T cycles it per session |
+| `thinkingBudgets` | `512 / 1024 / 2048 / 3072` (minimal / low / medium / high) | 1024 / 2048 / 8192 / 16384 | per-request cap on the `<think>` block, sent only for models whose `compat.thinkingTokenBudgetField` is set (`Ornith`, as `thinking_budget_tokens`). pi clamps the budget to `maxTokens − 1024`, so on a 4096-token reply the stock values collapse to 3072 and leave the answer 1024 tokens — the recipe for "Response was truncated before completion." |
 | `packages` | `["npm:pi-vim"]` | `[]` | the modal editor — see the pi-vim section above |
 | `piVim` | mode colors, `clipboardMirror: "yank"`, `:` → pi bridge | — | package config, not a pi setting; ignored if the package is removed |
 | `collapseChangelog` | `true` | `false` | condensed changelog after an upgrade instead of the full screen |