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feat(gate): terse selection prompt (~2s on no-think model) #89

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michal merged 1 commits from feat/gate-terse-selection into main 2026-07-24 20:38:33 +00:00
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src/mcplocal/src/gate/llm-selector.ts
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@@ -95,7 +95,11 @@ export class LlmPromptSelector {
): Promise<LlmSelectionResult> {
const { getSystemPromptFn, signal, serverInfer } = opts;
const DEFAULT_SYSTEM_PROMPT = `You are a context selection assistant. Given a developer's task keywords and a list of available project prompts, select which prompts are relevant to their work. Return a JSON object with "selectedNames" (array of prompt names) and "reasoning" (brief explanation). Priority 10 prompts must always be included.`;
// Keep the answer SHORT: latency is proportional to output length (a
// no-think model runs ~10-13 tok/s), and a verbose reasoning field pushes a
// selection past the gate's responsiveness budget. Ask for compact JSON with
// a <=8-word reasoning — ~2s vs ~9s for a prose reasoning.
const DEFAULT_SYSTEM_PROMPT = `You are a context selection assistant. Given a developer's task keywords and available project prompts, select the relevant ones. Return ONLY compact JSON: {"selectedNames":[...],"reasoning":"<=8 words"}. No prose outside the JSON. Priority 10 prompts must always be included.`;
const systemPrompt = getSystemPromptFn
? await getSystemPromptFn('llm-gate-context-selector', DEFAULT_SYSTEM_PROMPT)
: DEFAULT_SYSTEM_PROMPT;