[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).
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@@ -175,7 +175,8 @@ Beyond pointing at local models, these values deviate from pi's defaults:
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| `compaction.keepRecentTokens` | `4000` | 20000 | keep less verbatim, to pay for the larger reserve and leave room after a compaction for the next one |
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| `npmCommand` | `fnm exec --using=22 -- npm` | `npm` | pin extension npm installs to Node 22 via fnm |
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| `retry` / `httpIdleTimeoutMs` | long (1h provider timeout, 10m idle) | shorter | local models can be slow to first token |
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| `defaultThinkingLevel` | `off` | — | most local models here are non-reasoning |
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| `defaultThinkingLevel` | `medium` | — | the default model is a thinking preset (`Qwen3.6-35B-A3B-Thinking`); Alt+T cycles it per session |
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| `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." |
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| `packages` | `["npm:pi-vim"]` | `[]` | the modal editor — see the pi-vim section above |
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| `piVim` | mode colors, `clipboardMirror: "yank"`, `:` → pi bridge | — | package config, not a pi setting; ignored if the package is removed |
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| `collapseChangelog` | `true` | `false` | condensed changelog after an upgrade instead of the full screen |
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@@ -109,7 +109,7 @@
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"id": "Ornith-1.5-35B-A3B-IQ3_XXS",
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"name": "Ornith 1.5 35B · 24k · vision — agentic coder, thinking (~32 t/s)",
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"reasoning": true,
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"compat": { "thinkingFormat": "qwen-chat-template" },
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"compat": { "thinkingFormat": "qwen-chat-template", "thinkingTokenBudgetField": "thinking_budget_tokens" },
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"input": ["text", "image"],
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"contextWindow": 24576,
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"maxTokens": 4096,
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@@ -244,7 +244,7 @@
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"id": "Ornith-1.5-35B-A3B-IQ3_XXS",
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"name": "Ornith 1.5 35B · 24k · vision — agentic coder, thinking (~32 t/s)",
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"reasoning": true,
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"compat": { "thinkingFormat": "qwen-chat-template" },
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"compat": { "thinkingFormat": "qwen-chat-template", "thinkingTokenBudgetField": "thinking_budget_tokens" },
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"input": ["text", "image"],
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"contextWindow": 24576,
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"maxTokens": 4096,
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@@ -1,7 +1,13 @@
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{
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"defaultProvider": "duskadiy",
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"defaultModel": "Qwen3.6-35B-A3B-Thinking",
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"defaultProvider": "localcpp",
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"defaultModel": "Ornith-1.5-35B-A3B-IQ3_XXS",
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"defaultThinkingLevel": "medium",
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"thinkingBudgets": {
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"minimal": 512,
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"low": 1024,
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"medium": 2048,
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"high": 3072
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},
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"theme": "catppuccin-mocha",
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"quietStartup": false,
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"collapseChangelog": true,
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@@ -58,7 +64,7 @@
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"ex": "mode"
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}
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},
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"lastChangelogVersion": "0.85.1",
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"lastChangelogVersion": "1.0.0",
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"packages": [
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"npm:pi-vim"
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]
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