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https://github.com/multipleof4/lynchmark.git
synced 2026-01-13 16:17:54 +00:00
Feat: Support EFF:xhigh syntax for reasoning effort
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@@ -11,7 +11,7 @@ const getArg = n => { const i = process.argv.indexOf(n); return i > -1 ? process
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const isGemini = process.argv.includes('--gemini');
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const OUT_DIR_NAME = isGemini ? 'outputs_gemini' : 'outputs';
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const apiCall = async (prompt, model, temp) => {
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const apiCall = async (prompt, model, temp, effort) => {
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if (isGemini) {
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const url = `https://generativelanguage.googleapis.com/v1beta/models/${model}:generateContent?key=${process.env.GOOGLE_KEY}`;
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const body = { contents: [{ parts: [{ text: prompt }] }], generationConfig: { temperature: temp } };
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@@ -20,16 +20,21 @@ const apiCall = async (prompt, model, temp) => {
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}
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const res = await axios.post(
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'https://openrouter.ai/api/v1/chat/completions',
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{ model, messages: [{ role: 'user', content: prompt }], ...(temp !== undefined && { temperature: temp }) },
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{
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model,
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messages: [{ role: 'user', content: prompt }],
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...(temp !== undefined && { temperature: temp }),
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...(effort && { reasoning: { effort } })
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},
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{ headers: { Authorization: `Bearer ${process.env.OPENROUTER_KEY}` } }
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);
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return res.data.choices[0].message.content;
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};
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const getLlmCode = async (prompt, model, funcName, temp) => {
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const getLlmCode = async (prompt, model, funcName, temp, effort) => {
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const start = performance.now();
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try {
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const content = await apiCall(prompt, model, temp);
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const content = await apiCall(prompt, model, temp, effort);
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const duration = (performance.now() - start) / 1000;
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const code = content.match(/```(?:javascript|js)?\n([\s\S]+?)\n```/)?.[1].trim() ?? content.trim();
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const clean = code.replace(/export\s+default\s+.*$/m, '');
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@@ -88,7 +93,10 @@ const main = async () => {
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const page = await browser.newPage();
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for (const mSpec of models) {
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const [model, tStr] = mSpec.split(' TEMP:');
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const parts = mSpec.split(/\s+/);
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const model = parts[0];
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const tStr = parts.find(p => p.startsWith('TEMP:'))?.split(':')[1];
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const eStr = parts.find(p => p.startsWith('EFF:'))?.split(':')[1];
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const temp = tStr ? parseFloat(tStr) : undefined;
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for (const dir of targetTests) {
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@@ -97,7 +105,7 @@ const main = async () => {
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const testCode = await fs.readFile(testPath, 'utf-8');
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console.log(`Gen ${dir} for ${mSpec} in ${OUT_DIR_NAME}...`);
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const res = await getLlmCode(`${shared}\n\n${prompt.trim()}`, model, functionName, temp);
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const res = await getLlmCode(`${shared}\n\n${prompt.trim()}`, model, functionName, temp, eStr);
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if (!res) continue;
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