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Update app.js
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app.js
CHANGED
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@@ -12,23 +12,21 @@ const PORT = 7860;
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app.use(express.json());
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// --- 1. LOAD SYSTEM PROMPTS ---
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// Ensure prompts.json exists in the same directory
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// const prompts = JSON.parse(fs.readFileSync('./prompts.json', 'utf8'));
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const SYSTEM_PROMPT_PRO = "You are a pro";
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const SYSTEM_PROMPT_WORKER = "You are a worker";
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// --- 2. CLIENT INITIALIZATION ---
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/*
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# AWS BEDROCK CONFIG
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AWS_REGION=us-east-1
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AWS_ACCESS_KEY_ID=BedrockAPIKey-9pju-at-106774395747
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AWS_SECRET_ACCESS_KEY=ABSKQmVkcm9ja0FQSUtleS05cGp1LWF0LTEwNjc3NDM5NTc0NzpMenR2ZGhtUUlrOW52K0hseDZaTVF6ZGxOaDJZaU5kc3NmeksxVGJidVQ0TlNLK3dVZGN5ZzlpYTJIaz0=
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# AZURE OPENAI CONFIG
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AZURE_OPENAI_ENDPOINT=https://hollowpad-resource.cognitiveservices.azure.com
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AZURE_OPENAI_API_KEY=7U3m9NRkE38ThSWTr92hMgQ4hDCUFI9MAnFNrCgRL7MhdvckfTXwJQQJ99CBACHYHv6XJ3w3AAAAACOGV22P
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AZURE_OPENAI_DEPLOYMENT=gpt-5-mini
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*/
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const bedrockClient = new BedrockRuntimeClient({
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@@ -39,16 +37,30 @@ const bedrockClient = new BedrockRuntimeClient({
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}
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});
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const azureOpenAI = new OpenAI({
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});
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// --- 3. EXECUTION LOGIC ---
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async function callClaude(userPrompt) {
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const command = new ConverseCommand({
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// Official System Slot
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system: [
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{ text: SYSTEM_PROMPT_PRO }
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@@ -61,36 +73,45 @@ async function callClaude(userPrompt) {
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]
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}
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],
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inferenceConfig: {
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maxTokens: 56069,
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temperature: 1.0
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},
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// Official reasoning/thinking parameters for Claude
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additionalModelRequestFields: {
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thinking: {
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type: "enabled",
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budget_tokens: 40000
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}
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}
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});
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const response = await bedrockClient.send(command);
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}
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async function callGptMini(userPrompt) {
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const response = await azureOpenAI.chat.completions.create({
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model:
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messages: [
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],
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// Official Reasoning Parameters
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reasoning_effort: "high",
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max_completion_tokens: 56069,
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store: true
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// Note: temperature is omitted
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});
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return response.choices[0].message.content;
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@@ -136,23 +157,23 @@ app.get('/', (req, res) => {
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<div class="box">
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<h1>Hollowpad Battle Arena</h1>
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<p>Reasoning: High | Max Tokens: 56,069</p>
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<select id="model">
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<option value="gpt-mini">GPT-5 Mini (Worker Prompt)</option>
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<option value="claude">Claude
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</select>
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<textarea id="prompt" placeholder="Paste a
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<button id="runBtn" onclick="execute()">Run High Reasoning Test</button>
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<div id="output">Output will appear here...</div>
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</div>
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<script>
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async function execute() {
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const btn
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const out
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const model
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const prompt = document.getElementById('prompt').value;
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btn.disabled = true;
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@@ -178,4 +199,4 @@ app.get('/', (req, res) => {
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`);
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});
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app.listen(PORT, () => console.log(`Server started: http://localhost:${PORT}`));
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app.use(express.json());
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// --- 1. LOAD SYSTEM PROMPTS ---
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const SYSTEM_PROMPT_PRO = "You are a pro";
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const SYSTEM_PROMPT_WORKER = "You are a worker";
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// --- 2. CLIENT INITIALIZATION ---
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/*
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# AWS BEDROCK CONFIG
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AWS_REGION=us-east-1
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AWS_ACCESS_KEY_ID=BedrockAPIKey-9pju-at-106774395747
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AWS_SECRET_ACCESS_KEY=ABSKQmVkcm9ja0FQSUtleS05cGp1LWF0LTEwNjc3NDM5NTc0NzpMenR2ZGhtUUlrOW52K0hseDZaTVF6ZGxOaDJZaU5kc3NmeksxVGJidVQ0TlNLK3dVZGN5ZzlpYTJIaz0=
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# AZURE OPENAI CONFIG
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AZURE_OPENAI_ENDPOINT=https://hollowpad-resource.cognitiveservices.azure.com
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AZURE_OPENAI_API_KEY=7U3m9NRkE38ThSWTr92hMgQ4hDCUFI9MAnFNrCgRL7MhdvckfTXwJQQJ99CBACHYHv6XJ3w3AAAAACOGV22P
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AZURE_OPENAI_DEPLOYMENT=gpt-5-mini
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*/
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const bedrockClient = new BedrockRuntimeClient({
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}
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});
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// FIX 3 & 4: baseURL must be just the deployment base (no path, no query string).
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// The SDK appends /chat/completions automatically.
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// api-version is passed via defaultQuery.
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// Azure requires the "api-key" header instead of "Authorization: Bearer".
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const AZURE_API_KEY = "7U3m9NRkE38ThSWTr92hMgQ4hDCUFI9MAnFNrCgRL7MhdvckfTXwJQQJ99CBACHYHv6XJ3w3AAAAACOGV22P";
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const AZURE_DEPLOYMENT = process.env.AZURE_OPENAI_DEPLOYMENT || "gpt-5-mini";
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const AZURE_BASE_URL = `https://hollowpad-resource.cognitiveservices.azure.com/openai/deployments/${AZURE_DEPLOYMENT}`;
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const azureOpenAI = new OpenAI({
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apiKey: AZURE_API_KEY,
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baseURL: AZURE_BASE_URL,
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defaultQuery: { "api-version": "2024-05-01-preview" },
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defaultHeaders: { "api-key": AZURE_API_KEY }
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});
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// --- 3. EXECUTION LOGIC ---
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async function callClaude(userPrompt) {
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const command = new ConverseCommand({
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// FIX 1: Use a valid Bedrock cross-region inference profile model ID.
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// "anthropic.claude-4-6-sonnet-v1:0" does not exist.
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// Claude 3.7 Sonnet is the latest model with native extended thinking support.
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modelId: "us.anthropic.claude-3-7-sonnet-20250219-v1:0",
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// Official System Slot
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system: [
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{ text: SYSTEM_PROMPT_PRO }
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]
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}
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],
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inferenceConfig: {
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maxTokens: 56069,
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temperature: 1.0 // Must be 1.0 when thinking is enabled
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},
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additionalModelRequestFields: {
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thinking: {
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type: "enabled",
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budget_tokens: 40000
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}
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}
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});
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const response = await bedrockClient.send(command);
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// FIX 2: When thinking is enabled, the content array has TWO blocks:
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// [0] => { reasoningContent: { reasoningText: { text, signature } } } ← thinking
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// [1] => { text: "..." } ← actual reply
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// Grabbing content[0].text would return undefined and crash.
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// We must find the block that actually has a .text property.
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const textBlock = response.output.message.content.find(
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block => block.text !== undefined
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);
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return textBlock ? textBlock.text : "No text response was generated.";
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}
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async function callGptMini(userPrompt) {
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const response = await azureOpenAI.chat.completions.create({
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model: AZURE_DEPLOYMENT,
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messages: [
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// FIX 4 (cont): "developer" role is not supported in api-version 2024-05-01-preview.
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// Use "system" for broad compatibility.
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{ role: "system", content: SYSTEM_PROMPT_WORKER },
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{ role: "user", content: userPrompt }
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],
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// Official Reasoning Parameters (requires an o-series or reasoning-capable deployment)
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reasoning_effort: "high",
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max_completion_tokens: 56069,
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store: true
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// Note: temperature is intentionally omitted — incompatible with reasoning_effort
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});
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return response.choices[0].message.content;
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<div class="box">
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<h1>Hollowpad Battle Arena</h1>
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<p>Reasoning: High | Max Tokens: 56,069</p>
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<select id="model">
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<option value="gpt-mini">GPT-5 Mini (Worker Prompt)</option>
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<option value="claude">Claude 3.7 Sonnet (Pro Prompt)</option>
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</select>
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<textarea id="prompt" placeholder="Paste a task here..."></textarea>
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<button id="runBtn" onclick="execute()">Run High Reasoning Test</button>
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<div id="output">Output will appear here...</div>
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</div>
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<script>
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async function execute() {
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const btn = document.getElementById('runBtn');
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const out = document.getElementById('output');
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const model = document.getElementById('model').value;
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const prompt = document.getElementById('prompt').value;
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btn.disabled = true;
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`);
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});
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app.listen(PORT, () => console.log(`Server started: http://localhost:${PORT}`));
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