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Shared compute pinned BUZZ_AGENT_THINKING_EFFORT. That is not a sampling hint: mesh translates `reasoning_effort` into the chat template's `enable_thinking` flag, so any value Buzz sends overrides the default the model authors shipped — and the right value is model-specific. Measured against a request captured from the real agent (full ~43k-token system prompt, real dev-mcp toolset, tool_choice=auto): effort gemma-4-E4B Qwen3-8B Qwen3-8B output tokens none 0/8 8/8 ~121 low 4/4 7/8 ~470 unset 6/6 8/8 ~500 `none` (the previous default, chosen when shared compute was Qwen3-only) stops gemma tool-calling outright, so its replies were never published. Enabling thinking instead makes Qwen3 spend ~4x the output budget, which risks the 4096 cap this preset sets. Omitting the field leaves `enable_thinking` as None, so mesh passes no override and each model uses its own template default: 3/3 delivery on gemma-4-E4B, gemma-4-26B-A4B, gemma-4-31B and Qwen3-8B, and 3/3 replies through the real buzz-acp + buzz-agent path against a live relay. Thinking levels are unaffected: an explicit agent/persona/global value is still preserved and applied. Signed-off-by: Michael Neale <michael.neale@gmail.com>
Buzz
Desktop chat shell with:
- Tauri + React + TypeScript + Vite
- Tailwind CSS
- shadcn/ui-ready shared components
- Biome (lint/format/check)
- Feature-driven frontend structure
Scripts
pnpm dev- run the web frontendpnpm tauri dev- run the desktop apppnpm build- typecheck and build frontendpnpm typecheck- TypeScript checkspnpm lint- Biome lintpnpm format- Biome format (write)pnpm check- Biome check
Structure
src/shared- reusable app-wide code (ui,lib,styles)src/features- feature modules (vertical slices)src/app- top-level app composition