kbot:support web urls

This commit is contained in:
lovebird 2025-04-06 17:49:29 +02:00
parent e2a01a9a55
commit e1fa872c39
31 changed files with 4341 additions and 581 deletions

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@ -1,15 +1,16 @@
import { IHandlerResult } from './mime-handlers.js';
/**
* Process HTML content into markdown
*/
export declare function processHtml(html: string): string;
/**
* Fetch web content with caching
*/
export declare function fetchUrl(url: string): Promise<{
content: string;
contentType: string;
isProcessed: boolean;
}>;
/**
* Process HTML content into markdown
*/
export declare function processHtml(html: string): string;
/**
* Handle a web URL and return it in a format compatible with the get() function
*/

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{
"level": "debug",
"message": {
"file": {
"path": "C:\\Users\\zx\\Desktop\\polymech\\polymech-mono\\packages\\kbot\\tests\\units\\tools.test.md"
}
},
"timestamp": "2025-04-06T15:42:04.973Z",
"service": "collector:onFunctionCallResult"
},
{
"level": "debug",
"message": {
"file": {
"path": "C:\\Users\\zx\\Desktop\\polymech\\polymech-mono\\packages\\kbot\\tests\\units\\tools.test.md"
}
},
"timestamp": "2025-04-06T15:42:06.813Z",
"service": "collector:onFunctionCallResult"
},
{
"level": "debug",
"message": {
"file": {
"path": "C:\\Users\\zx\\Desktop\\polymech\\polymech-mono\\packages\\kbot\\tests\\unit\\test-data\\test-data.json",
"content": "eyJ0ZXN0IjoiZGF0YSIsInRpbWVzdGFtcCI6IjIwMjUtMDQtMDZUMTU6NDI6MDguMzIwWiJ9"
}
},
"timestamp": "2025-04-06T15:42:10.967Z",
"service": "collector:onFunctionCallResult"
},
{
"level": "debug",
"message": {
"file": {
"path": "C:\\Users\\zx\\Desktop\\polymech\\polymech-mono\\packages\\kbot\\tests\\unit\\test-data\\test-data.json"
}
},
"timestamp": "2025-04-06T15:42:12.162Z",
"service": "collector:onFunctionCallResult"
},
{
"level": "debug",
"message": {
"directory": "C:\\Users\\zx\\Desktop\\polymech\\polymech-mono\\packages\\kbot\\tests\\unit\\test-data"
},
"timestamp": "2025-04-06T15:42:14.382Z",
"service": "collector:onFunctionCallResult"
}
]

View File

@ -1138,5 +1138,89 @@
},
"timestamp": "2025-04-06T14:35:23.658Z",
"service": "collector:onToolCall"
},
{
"level": "debug",
"message": {
"name": "read_file",
"arguments": {
"file": {
"path": "C:\\Users\\zx\\Desktop\\polymech\\polymech-mono\\packages\\kbot\\tests\\units\\tools.test.md"
}
},
"parsed_arguments": null,
"timestamp": "2025-04-06T15:42:04.963Z",
"sessionId": "1743954123628",
"prompt": "Read the file at C:\\Users\\zx\\Desktop\\polymech\\polymech-mono\\packages\\kbot\\tests\\units\\tools.test.md and solve all equations. Return the results in the specified JSON format."
},
"timestamp": "2025-04-06T15:42:04.965Z",
"service": "collector:onToolCall"
},
{
"level": "debug",
"message": {
"name": "read_file",
"arguments": {
"file": {
"path": "C:\\Users\\zx\\Desktop\\polymech\\polymech-mono\\packages\\kbot\\tests\\units\\tools.test.md"
}
},
"parsed_arguments": null,
"timestamp": "2025-04-06T15:42:06.805Z",
"sessionId": "1743954123628",
"prompt": "Read the file at C:\\Users\\zx\\Desktop\\polymech\\polymech-mono\\packages\\kbot\\tests\\units\\tools.test.md and solve all equations. Return the results in the specified JSON format."
},
"timestamp": "2025-04-06T15:42:06.805Z",
"service": "collector:onToolCall"
},
{
"level": "debug",
"message": {
"name": "write_file",
"arguments": {
"file": {
"path": "C:\\Users\\zx\\Desktop\\polymech\\polymech-mono\\packages\\kbot\\tests\\unit\\test-data\\test-data.json",
"content": "eyJ0ZXN0IjoiZGF0YSIsInRpbWVzdGFtcCI6IjIwMjUtMDQtMDZUMTU6NDI6MDguMzIwWiJ9"
}
},
"parsed_arguments": null,
"timestamp": "2025-04-06T15:42:10.956Z",
"sessionId": "1743954128445",
"prompt": "Write the following data to C:\\Users\\zx\\Desktop\\polymech\\polymech-mono\\packages\\kbot\\tests\\unit\\test-data\\test-data.json and then read it back: {\"test\":\"data\",\"timestamp\":\"2025-04-06T15:42:08.320Z\"}. Return the read data in JSON format."
},
"timestamp": "2025-04-06T15:42:10.957Z",
"service": "collector:onToolCall"
},
{
"level": "debug",
"message": {
"name": "read_file",
"arguments": {
"file": {
"path": "C:\\Users\\zx\\Desktop\\polymech\\polymech-mono\\packages\\kbot\\tests\\unit\\test-data\\test-data.json"
}
},
"parsed_arguments": null,
"timestamp": "2025-04-06T15:42:12.156Z",
"sessionId": "1743954128445",
"prompt": "Write the following data to C:\\Users\\zx\\Desktop\\polymech\\polymech-mono\\packages\\kbot\\tests\\unit\\test-data\\test-data.json and then read it back: {\"test\":\"data\",\"timestamp\":\"2025-04-06T15:42:08.320Z\"}. Return the read data in JSON format."
},
"timestamp": "2025-04-06T15:42:12.157Z",
"service": "collector:onToolCall"
},
{
"level": "debug",
"message": {
"name": "list_files",
"arguments": {
"directory": "C:\\Users\\zx\\Desktop\\polymech\\polymech-mono\\packages\\kbot\\tests\\unit\\test-data"
},
"parsed_arguments": null,
"timestamp": "2025-04-06T15:42:14.376Z",
"sessionId": "1743954133243",
"prompt": "List all files in the directory C:\\Users\\zx\\Desktop\\polymech\\polymech-mono\\packages\\kbot\\tests\\unit\\test-data. Return the list as a JSON array of filenames."
},
"timestamp": "2025-04-06T15:42:14.377Z",
"service": "collector:onToolCall"
}
]

View File

@ -24,6 +24,7 @@
"test:language": "vitest run tests/unit/language.test.ts",
"test:tools": "vitest run tests/unit/tools.test.ts",
"test:coding": "vitest run tests/unit/coding.test.ts",
"test:web": "vitest run tests/unit/web.test.ts",
"test:files": "vitest run tests/unit/files.test.ts",
"test:research": "vitest run tests/unit/research.test.ts",
"test2:watch": "vitest",

View File

@ -39,10 +39,41 @@ function isCacheValid(cacheFile: string): boolean {
}
}
/**
* Process HTML content into markdown
*/
export function processHtml(html: string): string {
// Configure turndown with more aggressive options
turndown.addRule('removeScripts', {
filter: ['script', 'style', 'iframe', 'noscript'],
replacement: () => ''
});
// Configure image handling
turndown.addRule('images', {
filter: 'img',
replacement: (content, node) => {
// Cast node to HTMLElement for TypeScript compatibility
const element = node as HTMLElement;
const alt = element.getAttribute('alt') || '';
const src = element.getAttribute('src') || '';
return src ? `![${alt}](${src})` : '';
}
});
// Clean up common wiki elements
const cleanedHtml = html
.replace(/<sup[^>]*class="reference[^>]*>.*?<\/sup>/g, '') // Remove reference links
.replace(/<span[^>]*class="[^"]*citation[^"]*"[^>]*>.*?<\/span>/g, '') // Remove citation spans
.replace(/<span[^>]*class="mw-parser-output[^>]*>(.*?)<\/span>/g, '$1'); // Clean wiki parser output
return turndown.turndown(cleanedHtml);
}
/**
* Fetch web content with caching
*/
export async function fetchUrl(url: string): Promise<{ content: string, contentType: string }> {
export async function fetchUrl(url: string): Promise<{ content: string, contentType: string, isProcessed: boolean }> {
// Ensure cache directory exists
if (!exists(CACHE_DIR)) {
dir(CACHE_DIR)
@ -53,7 +84,7 @@ export async function fetchUrl(url: string): Promise<{ content: string, contentT
if (isCacheValid(cacheFile)) {
try {
const cached = read(cacheFile, 'json') as { content: string, contentType: string }
const cached = read(cacheFile, 'json') as { content: string, contentType: string, isProcessed: boolean }
if (cached && typeof cached === 'object' && 'content' in cached && 'contentType' in cached) {
logger.debug(`Using cached content for ${url}`)
return cached
@ -73,12 +104,23 @@ export async function fetchUrl(url: string): Promise<{ content: string, contentT
})
const contentType = response.headers['content-type'] || 'text/html'
const result = {
content: response.data,
contentType
let content = response.data
let isProcessed = false
// Always process HTML content into markdown before caching
if (contentType.includes('html')) {
content = processHtml(content)
isProcessed = true
logger.debug(`Converted HTML to markdown for ${url}`)
}
// Cache the result
const result = {
content,
contentType,
isProcessed
}
// Cache the processed result
write(cacheFile, JSON.stringify(result))
return result
@ -88,34 +130,26 @@ export async function fetchUrl(url: string): Promise<{ content: string, contentT
}
}
/**
* Process HTML content into markdown
*/
export function processHtml(html: string): string {
return turndown.turndown(html)
}
/**
* Handle a web URL and return it in a format compatible with the get() function
*/
export async function handleWebUrl(url: string): Promise<IHandlerResult> {
try {
const { content, contentType } = await fetchUrl(url)
const { content, contentType, isProcessed } = await fetchUrl(url)
if (contentType.includes('json')) {
// Handle JSON response
const jsonContent = typeof content === 'string' ? JSON.parse(content) : content
const jsonContent = typeof content === 'string' && !isProcessed ? JSON.parse(content) : content
return {
content: `\`\`\`json\n${JSON.stringify(jsonContent, null, 2)}\n\`\`\``,
content: isProcessed ? content : `\`\`\`json\n${JSON.stringify(jsonContent, null, 2)}\n\`\`\``,
path: url,
role: 'user',
name: `web_${createCacheKey(url)}`
}
} else {
// Handle HTML response
const markdown = processHtml(content)
// Handle HTML response - already processed into markdown
return {
content: markdown,
content: content,
path: url,
role: 'user',
name: `web_${createCacheKey(url)}`

View File

@ -6,19 +6,18 @@ Generate a JavaScript function that implements bubble sort.
*/
function bubbleSort(arr) {
let sortedArr = arr.slice();
let n = sortedArr.length;
for (let i = 0; i < n; i++) {
let swapped = false;
for (let j = 0; j < n - 1 - i; j++) {
if (sortedArr[j] > sortedArr[j + 1]) {
let temp = sortedArr[j];
sortedArr[j] = sortedArr[j + 1];
sortedArr[j + 1] = temp;
let swapped, copy = arr.slice();
for (let i = 0; i < copy.length; i++) {
swapped = false;
for (let j = 0; j < copy.length - 1 - i; j++) {
if (copy[j] > copy[j + 1]) {
let temp = copy[j];
copy[j] = copy[j + 1];
copy[j + 1] = temp;
swapped = true;
}
}
if (!swapped) break;
}
return sortedArr;
return copy;
}

View File

@ -6,11 +6,11 @@ Generate a JavaScript function that implements bubble sort.
*/
function bubbleSort(arr) {
var len = arr.length;
for (var i = 0; i < len; i++) {
for (var j = 0; j < len - i - 1; j++) {
let len = arr.length;
for (let i = 0; i < len; i++) {
for (let j = 0; j < len - i - 1; j++) {
if (arr[j] > arr[j + 1]) {
var temp = arr[j];
let temp = arr[j];
arr[j] = arr[j + 1];
arr[j + 1] = temp;
}

View File

@ -6,9 +6,9 @@ Generate a JavaScript function that implements bubble sort.
*/
function bubbleSort(arr) {
let n = arr.length;
for (let i = 0; i < n - 1; i++) {
for (let j = 0; j < n - i - 1; j++) {
let len = arr.length;
for (let i = 0; i < len - 1; i++) {
for (let j = 0; j < len - 1 - i; j++) {
if (arr[j] > arr[j + 1]) {
[arr[j], arr[j + 1]] = [arr[j + 1], arr[j]];
}

View File

@ -8,7 +8,7 @@ Generate a JavaScript function that implements bubble sort.
function bubbleSort(arr) {
let n = arr.length;
for (let i = 0; i < n - 1; i++) {
for (let j = 0; j < n - 1 - i; j++) {
for (let j = 0; j < n - i - 1; j++) {
if (arr[j] > arr[j + 1]) {
let temp = arr[j];
arr[j] = arr[j + 1];

View File

@ -5,10 +5,16 @@ Generate a JavaScript function that calculates the factorial of a number.
*/
function factorial(n) {
if (n <= 1) return 1;
let result = 1;
for (let i = 2; i <= n; i++) {
result *= i;
}
return result;
}
}
// Example usage:
// factorial(5) // returns 120
// factorial(0) // returns 1
// factorial(1) // returns 1
// Note: The function assumes that n is a non-negative integer.

View File

@ -5,8 +5,7 @@ Generate a JavaScript function that calculates the factorial of a number.
*/
function factorial(n) {
if (n === 0 || n === 1) {
return 1;
}
if (n < 0) return undefined;
if (n === 0 || n === 1) return 1;
return n * factorial(n - 1);
}

View File

@ -66,6 +66,7 @@ describe('Basic Operations', () => {
'web_content',
modelName,
TEST_LOG_PATH,
'completion',
{
include: ['https://en.wikipedia.org/wiki/Kenya']
}

File diff suppressed because it is too large Load Diff

View File

@ -2093,6 +2093,226 @@
"passed": true,
"duration": 1031,
"category": "basic"
},
{
"test": "addition",
"prompt": "add 5 and 3. Return only the number, no explanation.",
"result": [
"8"
],
"expected": "8",
"model": "openai/gpt-3.5-turbo",
"router": "openai/gpt-3.5-turbo",
"timestamp": "2025-04-06T15:42:04.567Z",
"passed": true,
"duration": 1157,
"category": "basic"
},
{
"test": "addition",
"prompt": "add 5 and 3. Return only the number, no explanation.",
"result": [
"8"
],
"expected": "8",
"model": "deepseek/deepseek-r1-distill-qwen-14b:free",
"router": "deepseek/deepseek-r1-distill-qwen-14b:free",
"timestamp": "2025-04-06T15:42:08.794Z",
"passed": true,
"duration": 4214,
"category": "basic"
},
{
"test": "addition",
"prompt": "add 5 and 3. Return only the number, no explanation.",
"result": [
"8"
],
"expected": "8",
"model": "openai/gpt-4o-mini",
"router": "openai/gpt-4o-mini",
"timestamp": "2025-04-06T15:42:09.531Z",
"passed": true,
"duration": 726,
"category": "basic"
},
{
"test": "addition",
"prompt": "add 5 and 3. Return only the number, no explanation.",
"result": [
"8"
],
"expected": "8",
"model": "openrouter/quasar-alpha",
"router": "openrouter/quasar-alpha",
"timestamp": "2025-04-06T15:42:10.356Z",
"passed": true,
"duration": 814,
"category": "basic"
},
{
"test": "multiplication",
"prompt": "multiply 8 and 3. Return only the number, no explanation.",
"result": [
"24"
],
"expected": "24",
"model": "openai/gpt-3.5-turbo",
"router": "openai/gpt-3.5-turbo",
"timestamp": "2025-04-06T15:42:11.193Z",
"passed": true,
"duration": 826,
"category": "basic"
},
{
"test": "multiplication",
"prompt": "multiply 8 and 3. Return only the number, no explanation.",
"result": [
"24"
],
"expected": "24",
"model": "deepseek/deepseek-r1-distill-qwen-14b:free",
"router": "deepseek/deepseek-r1-distill-qwen-14b:free",
"timestamp": "2025-04-06T15:42:17.389Z",
"passed": true,
"duration": 6184,
"category": "basic"
},
{
"test": "multiplication",
"prompt": "multiply 8 and 3. Return only the number, no explanation.",
"result": [
"24"
],
"expected": "24",
"model": "openai/gpt-4o-mini",
"router": "openai/gpt-4o-mini",
"timestamp": "2025-04-06T15:42:18.260Z",
"passed": true,
"duration": 856,
"category": "basic"
},
{
"test": "multiplication",
"prompt": "multiply 8 and 3. Return only the number, no explanation.",
"result": [
"24"
],
"expected": "24",
"model": "openrouter/quasar-alpha",
"router": "openrouter/quasar-alpha",
"timestamp": "2025-04-06T15:42:18.956Z",
"passed": true,
"duration": 684,
"category": "basic"
},
{
"test": "division",
"prompt": "divide 15 by 3. Return only the number, no explanation.",
"result": [
"5"
],
"expected": "5",
"model": "openai/gpt-3.5-turbo",
"router": "openai/gpt-3.5-turbo",
"timestamp": "2025-04-06T15:42:19.758Z",
"passed": true,
"duration": 790,
"category": "basic"
},
{
"test": "division",
"prompt": "divide 15 by 3. Return only the number, no explanation.",
"result": [
"5"
],
"expected": "5",
"model": "deepseek/deepseek-r1-distill-qwen-14b:free",
"router": "deepseek/deepseek-r1-distill-qwen-14b:free",
"timestamp": "2025-04-06T15:42:21.273Z",
"passed": true,
"duration": 1502,
"category": "basic"
},
{
"test": "division",
"prompt": "divide 15 by 3. Return only the number, no explanation.",
"result": [
"5"
],
"expected": "5",
"model": "openai/gpt-4o-mini",
"router": "openai/gpt-4o-mini",
"timestamp": "2025-04-06T15:42:22.107Z",
"passed": true,
"duration": 823,
"category": "basic"
},
{
"test": "division",
"prompt": "divide 15 by 3. Return only the number, no explanation.",
"result": [
"5"
],
"expected": "5",
"model": "openrouter/quasar-alpha",
"router": "openrouter/quasar-alpha",
"timestamp": "2025-04-06T15:42:22.974Z",
"passed": true,
"duration": 855,
"category": "basic"
},
{
"test": "web_content",
"prompt": "Check if the content contains a section about Human prehistory. Reply with \"yes\" if it does, \"no\" if it does not.",
"result": [],
"expected": "yes",
"model": "openai/gpt-3.5-turbo",
"router": "openai/gpt-3.5-turbo",
"timestamp": "2025-04-06T15:42:26.297Z",
"passed": false,
"duration": 3311,
"reason": "Model returned empty response",
"category": "basic"
},
{
"test": "web_content",
"prompt": "Check if the content contains a section about Human prehistory. Reply with \"yes\" if it does, \"no\" if it does not.",
"result": [],
"expected": "yes",
"model": "deepseek/deepseek-r1-distill-qwen-14b:free",
"router": "deepseek/deepseek-r1-distill-qwen-14b:free",
"timestamp": "2025-04-06T15:42:26.573Z",
"passed": false,
"duration": 263,
"reason": "Model returned empty response",
"category": "basic"
},
{
"test": "web_content",
"prompt": "Check if the content contains a section about Human prehistory. Reply with \"yes\" if it does, \"no\" if it does not.",
"result": [],
"expected": "yes",
"model": "openai/gpt-4o-mini",
"router": "openai/gpt-4o-mini",
"timestamp": "2025-04-06T15:42:36.633Z",
"passed": false,
"duration": 10048,
"reason": "Model returned empty response",
"category": "basic"
},
{
"test": "web_content",
"prompt": "Check if the content contains a section about Human prehistory. Reply with \"yes\" if it does, \"no\" if it does not.",
"result": [],
"expected": "yes",
"model": "openrouter/quasar-alpha",
"router": "openrouter/quasar-alpha",
"timestamp": "2025-04-06T15:42:44.951Z",
"passed": false,
"duration": 8305,
"reason": "Model returned empty response",
"category": "basic"
}
],
"highscores": [
@ -2101,13 +2321,13 @@
"rankings": [
{
"model": "openai/gpt-4o-mini",
"duration": 709,
"duration_secs": 0.709
"duration": 726,
"duration_secs": 0.726
},
{
"model": "openrouter/quasar-alpha",
"duration": 803,
"duration_secs": 0.803
"duration": 814,
"duration_secs": 0.814
}
]
},
@ -2115,32 +2335,47 @@
"test": "multiplication",
"rankings": [
{
"model": "openai/gpt-3.5-turbo",
"duration": 916,
"duration_secs": 0.916
"model": "openrouter/quasar-alpha",
"duration": 684,
"duration_secs": 0.684
},
{
"model": "anthropic/claude-3.5-sonnet",
"duration": 1190,
"duration_secs": 1.19
"model": "openai/gpt-3.5-turbo",
"duration": 826,
"duration_secs": 0.826
}
]
},
{
"test": "division",
"rankings": [
{
"model": "openai/gpt-3.5-turbo",
"duration": 790,
"duration_secs": 0.79
},
{
"model": "openai/gpt-4o-mini",
"duration": 680,
"duration_secs": 0.68
"duration": 823,
"duration_secs": 0.823
}
]
},
{
"test": "web_content",
"rankings": [
{
"model": "deepseek/deepseek-r1-distill-qwen-14b:free",
"duration": 263,
"duration_secs": 0.263
},
{
"model": "openai/gpt-3.5-turbo",
"duration": 893,
"duration_secs": 0.893
"duration": 3311,
"duration_secs": 3.311
}
]
}
],
"lastUpdated": "2025-04-06T15:30:56.861Z"
"lastUpdated": "2025-04-06T15:42:44.952Z"
}

View File

@ -6,45 +6,68 @@
| Test | Model | Duration (ms) | Duration (s) |
|------|-------|--------------|--------------|
| addition | openai/gpt-4o-mini | 709 | 0.71 |
| addition | openrouter/quasar-alpha | 803 | 0.80 |
| addition | openai/gpt-3.5-turbo | 1182 | 1.18 |
| addition | deepseek/deepseek-r1-distill-qwen-14b:free | 2473 | 2.47 |
| multiplication | openai/gpt-3.5-turbo | 916 | 0.92 |
| multiplication | openai/gpt-4o-mini | 1232 | 1.23 |
| multiplication | openrouter/quasar-alpha | 5757 | 5.76 |
| multiplication | deepseek/deepseek-r1-distill-qwen-14b:free | 6224 | 6.22 |
| division | openai/gpt-4o-mini | 680 | 0.68 |
| division | openai/gpt-3.5-turbo | 893 | 0.89 |
| division | openrouter/quasar-alpha | 1031 | 1.03 |
| division | deepseek/deepseek-r1-distill-qwen-14b:free | 1612 | 1.61 |
| addition | openai/gpt-4o-mini | 726 | 0.73 |
| addition | openrouter/quasar-alpha | 814 | 0.81 |
| addition | openai/gpt-3.5-turbo | 1157 | 1.16 |
| addition | deepseek/deepseek-r1-distill-qwen-14b:free | 4214 | 4.21 |
| multiplication | openrouter/quasar-alpha | 684 | 0.68 |
| multiplication | openai/gpt-3.5-turbo | 826 | 0.83 |
| multiplication | openai/gpt-4o-mini | 856 | 0.86 |
| multiplication | deepseek/deepseek-r1-distill-qwen-14b:free | 6184 | 6.18 |
| division | openai/gpt-3.5-turbo | 790 | 0.79 |
| division | openai/gpt-4o-mini | 823 | 0.82 |
| division | openrouter/quasar-alpha | 855 | 0.85 |
| division | deepseek/deepseek-r1-distill-qwen-14b:free | 1502 | 1.50 |
| web_content | deepseek/deepseek-r1-distill-qwen-14b:free | 263 | 0.26 |
| web_content | openai/gpt-3.5-turbo | 3311 | 3.31 |
| web_content | openrouter/quasar-alpha | 8305 | 8.30 |
| web_content | openai/gpt-4o-mini | 10048 | 10.05 |
## Summary
- Total Tests: 12
- Passed: 11
- Failed: 1
- Success Rate: 91.67%
- Average Duration: 1959ms (1.96s)
- Total Tests: 16
- Passed: 12
- Failed: 4
- Success Rate: 75.00%
- Average Duration: 2585ms (2.58s)
## Failed Tests
### addition - deepseek/deepseek-r1-distill-qwen-14b:free
### web_content - openai/gpt-3.5-turbo
- Prompt: `add 5 and 3. Return only the number, no explanation.`
- Expected: `8`
- Actual: `The result of adding 5 and 3 is:
- Prompt: `Check if the content contains a section about Human prehistory. Reply with "yes" if it does, "no" if it does not.`
- Expected: `yes`
- Actual: ``
- Duration: 3311ms (3.31s)
- Reason: Model returned empty response
- Timestamp: 4/6/2025, 5:42:26 PM
\[
5 + 3 = \boxed{8}
\]`
- Duration: 2473ms (2.47s)
- Reason: Expected 8, but got the result of adding 5 and 3 is:
### web_content - deepseek/deepseek-r1-distill-qwen-14b:free
\[
5 + 3 = \boxed{8}
\]
- Timestamp: 4/6/2025, 5:30:36 PM
- Prompt: `Check if the content contains a section about Human prehistory. Reply with "yes" if it does, "no" if it does not.`
- Expected: `yes`
- Actual: ``
- Duration: 263ms (0.26s)
- Reason: Model returned empty response
- Timestamp: 4/6/2025, 5:42:26 PM
### web_content - openai/gpt-4o-mini
- Prompt: `Check if the content contains a section about Human prehistory. Reply with "yes" if it does, "no" if it does not.`
- Expected: `yes`
- Actual: ``
- Duration: 10048ms (10.05s)
- Reason: Model returned empty response
- Timestamp: 4/6/2025, 5:42:36 PM
### web_content - openrouter/quasar-alpha
- Prompt: `Check if the content contains a section about Human prehistory. Reply with "yes" if it does, "no" if it does not.`
- Expected: `yes`
- Actual: ``
- Duration: 8305ms (8.30s)
- Reason: Model returned empty response
- Timestamp: 4/6/2025, 5:42:44 PM
## Passed Tests
@ -53,86 +76,94 @@
- Prompt: `add 5 and 3. Return only the number, no explanation.`
- Expected: `8`
- Actual: `8`
- Duration: 1182ms (1.18s)
- Timestamp: 4/6/2025, 5:30:34 PM
- Duration: 1157ms (1.16s)
- Timestamp: 4/6/2025, 5:42:04 PM
### addition - deepseek/deepseek-r1-distill-qwen-14b:free
- Prompt: `add 5 and 3. Return only the number, no explanation.`
- Expected: `8`
- Actual: `8`
- Duration: 4214ms (4.21s)
- Timestamp: 4/6/2025, 5:42:08 PM
### addition - openai/gpt-4o-mini
- Prompt: `add 5 and 3. Return only the number, no explanation.`
- Expected: `8`
- Actual: `8`
- Duration: 709ms (0.71s)
- Timestamp: 4/6/2025, 5:30:37 PM
- Duration: 726ms (0.73s)
- Timestamp: 4/6/2025, 5:42:09 PM
### addition - openrouter/quasar-alpha
- Prompt: `add 5 and 3. Return only the number, no explanation.`
- Expected: `8`
- Actual: `8`
- Duration: 803ms (0.80s)
- Timestamp: 4/6/2025, 5:30:38 PM
- Duration: 814ms (0.81s)
- Timestamp: 4/6/2025, 5:42:10 PM
### multiplication - openai/gpt-3.5-turbo
- Prompt: `multiply 8 and 3. Return only the number, no explanation.`
- Expected: `24`
- Actual: `24`
- Duration: 916ms (0.92s)
- Timestamp: 4/6/2025, 5:30:39 PM
- Duration: 826ms (0.83s)
- Timestamp: 4/6/2025, 5:42:11 PM
### multiplication - deepseek/deepseek-r1-distill-qwen-14b:free
- Prompt: `multiply 8 and 3. Return only the number, no explanation.`
- Expected: `24`
- Actual: `24`
- Duration: 6224ms (6.22s)
- Timestamp: 4/6/2025, 5:30:45 PM
- Duration: 6184ms (6.18s)
- Timestamp: 4/6/2025, 5:42:17 PM
### multiplication - openai/gpt-4o-mini
- Prompt: `multiply 8 and 3. Return only the number, no explanation.`
- Expected: `24`
- Actual: `24`
- Duration: 1232ms (1.23s)
- Timestamp: 4/6/2025, 5:30:46 PM
- Duration: 856ms (0.86s)
- Timestamp: 4/6/2025, 5:42:18 PM
### multiplication - openrouter/quasar-alpha
- Prompt: `multiply 8 and 3. Return only the number, no explanation.`
- Expected: `24`
- Actual: `24`
- Duration: 5757ms (5.76s)
- Timestamp: 4/6/2025, 5:30:52 PM
- Duration: 684ms (0.68s)
- Timestamp: 4/6/2025, 5:42:18 PM
### division - openai/gpt-3.5-turbo
- Prompt: `divide 15 by 3. Return only the number, no explanation.`
- Expected: `5`
- Actual: `5`
- Duration: 893ms (0.89s)
- Timestamp: 4/6/2025, 5:30:53 PM
- Duration: 790ms (0.79s)
- Timestamp: 4/6/2025, 5:42:19 PM
### division - deepseek/deepseek-r1-distill-qwen-14b:free
- Prompt: `divide 15 by 3. Return only the number, no explanation.`
- Expected: `5`
- Actual: `5`
- Duration: 1612ms (1.61s)
- Timestamp: 4/6/2025, 5:30:55 PM
- Duration: 1502ms (1.50s)
- Timestamp: 4/6/2025, 5:42:21 PM
### division - openai/gpt-4o-mini
- Prompt: `divide 15 by 3. Return only the number, no explanation.`
- Expected: `5`
- Actual: `5`
- Duration: 680ms (0.68s)
- Timestamp: 4/6/2025, 5:30:55 PM
- Duration: 823ms (0.82s)
- Timestamp: 4/6/2025, 5:42:22 PM
### division - openrouter/quasar-alpha
- Prompt: `divide 15 by 3. Return only the number, no explanation.`
- Expected: `5`
- Actual: `5`
- Duration: 1031ms (1.03s)
- Timestamp: 4/6/2025, 5:30:56 PM
- Duration: 855ms (0.85s)
- Timestamp: 4/6/2025, 5:42:22 PM

View File

@ -929,6 +929,126 @@
"duration": 1841,
"reason": "Expected function bubbleSort(arr) { const n = arr.length; for(let i = 0; i < n; i++) { for(let j = 0; j < n-i-1; j++) { if(arr[j] > arr[j+1]) { [arr[j], arr[j+1]] = [arr[j+1], arr[j]]; } } } return arr; }, but got function bubblesort(arr) {\n let n = arr.length;\n for (let i = 0; i < n - 1; i++) {\n for (let j = 0; j < n - 1 - i; j++) {\n if (arr[j] > arr[j + 1]) {\n let temp = arr[j];\n arr[j] = arr[j + 1];\n arr[j + 1] = temp;\n }\n }\n }\n return arr;\n}",
"category": "coding"
},
{
"test": "factorial_function",
"prompt": "Generate a JavaScript function that calculates the factorial of a number.\n The function should be named 'factorial' and take one parameter 'n'.\n Return only the function code, no explanation.",
"result": [
"function factorial(n) {\n if (n === 0 || n === 1) {\n return 1;\n } else {\n return n * factorial(n - 1);\n }\n}"
],
"expected": "function factorial(n) { return n <= 1 ? 1 : n * factorial(n - 1); }",
"model": "openai/gpt-3.5-turbo",
"router": "openai/gpt-3.5-turbo",
"timestamp": "2025-04-06T15:42:04.766Z",
"passed": false,
"duration": 1363,
"reason": "Expected function factorial(n) { return n <= 1 ? 1 : n * factorial(n - 1); }, but got function factorial(n) {\n if (n === 0 || n === 1) {\n return 1;\n } else {\n return n * factorial(n - 1);\n }\n}",
"category": "coding"
},
{
"test": "factorial_function",
"prompt": "Generate a JavaScript function that calculates the factorial of a number.\n The function should be named 'factorial' and take one parameter 'n'.\n Return only the function code, no explanation.",
"result": [
"function factorial(n) {\n let result = 1;\n for (let i = 2; i <= n; i++) {\n result *= i;\n }\n return result;\n}\n\n// Example usage:\n// factorial(5) // returns 120\n// factorial(0) // returns 1\n// factorial(1) // returns 1\n\n// Note: The function assumes that n is a non-negative integer."
],
"expected": "function factorial(n) { return n <= 1 ? 1 : n * factorial(n - 1); }",
"model": "deepseek/deepseek-r1-distill-qwen-14b:free",
"router": "deepseek/deepseek-r1-distill-qwen-14b:free",
"timestamp": "2025-04-06T15:42:12.826Z",
"passed": false,
"duration": 8043,
"reason": "Expected function factorial(n) { return n <= 1 ? 1 : n * factorial(n - 1); }, but got function factorial(n) {\n let result = 1;\n for (let i = 2; i <= n; i++) {\n result *= i;\n }\n return result;\n}\n\n// example usage:\n// factorial(5) // returns 120\n// factorial(0) // returns 1\n// factorial(1) // returns 1\n\n// note: the function assumes that n is a non-negative integer.",
"category": "coding"
},
{
"test": "factorial_function",
"prompt": "Generate a JavaScript function that calculates the factorial of a number.\n The function should be named 'factorial' and take one parameter 'n'.\n Return only the function code, no explanation.",
"result": [
"function factorial(n) {\n if (n === 0 || n === 1) return 1;\n return n * factorial(n - 1);\n}"
],
"expected": "function factorial(n) { return n <= 1 ? 1 : n * factorial(n - 1); }",
"model": "openai/gpt-4o-mini",
"router": "openai/gpt-4o-mini",
"timestamp": "2025-04-06T15:42:14.088Z",
"passed": false,
"duration": 1247,
"reason": "Expected function factorial(n) { return n <= 1 ? 1 : n * factorial(n - 1); }, but got function factorial(n) {\n if (n === 0 || n === 1) return 1;\n return n * factorial(n - 1);\n}",
"category": "coding"
},
{
"test": "factorial_function",
"prompt": "Generate a JavaScript function that calculates the factorial of a number.\n The function should be named 'factorial' and take one parameter 'n'.\n Return only the function code, no explanation.",
"result": [
"function factorial(n) {\n if (n < 0) return undefined;\n if (n === 0 || n === 1) return 1;\n return n * factorial(n - 1);\n}"
],
"expected": "function factorial(n) { return n <= 1 ? 1 : n * factorial(n - 1); }",
"model": "openrouter/quasar-alpha",
"router": "openrouter/quasar-alpha",
"timestamp": "2025-04-06T15:42:15.625Z",
"passed": false,
"duration": 1525,
"reason": "Expected function factorial(n) { return n <= 1 ? 1 : n * factorial(n - 1); }, but got function factorial(n) {\n if (n < 0) return undefined;\n if (n === 0 || n === 1) return 1;\n return n * factorial(n - 1);\n}",
"category": "coding"
},
{
"test": "bubble_sort_function",
"prompt": "Generate a JavaScript function that implements bubble sort.\n The function should be named 'bubbleSort' and take one parameter 'arr' (an array of numbers).\n The function should return the sorted array.\n Return only the function code, no explanation.",
"result": [
"function bubbleSort(arr) {\n let len = arr.length;\n for (let i = 0; i < len; i++) {\n for (let j = 0; j < len - i - 1; j++) {\n if (arr[j] > arr[j + 1]) {\n let temp = arr[j];\n arr[j] = arr[j + 1];\n arr[j + 1] = temp;\n }\n }\n }\n return arr;\n}"
],
"expected": "function bubbleSort(arr) { const n = arr.length; for(let i = 0; i < n; i++) { for(let j = 0; j < n-i-1; j++) { if(arr[j] > arr[j+1]) { [arr[j], arr[j+1]] = [arr[j+1], arr[j]]; } } } return arr; }",
"model": "openai/gpt-3.5-turbo",
"router": "openai/gpt-3.5-turbo",
"timestamp": "2025-04-06T15:42:17.315Z",
"passed": false,
"duration": 1674,
"reason": "Expected function bubbleSort(arr) { const n = arr.length; for(let i = 0; i < n; i++) { for(let j = 0; j < n-i-1; j++) { if(arr[j] > arr[j+1]) { [arr[j], arr[j+1]] = [arr[j+1], arr[j]]; } } } return arr; }, but got function bubblesort(arr) {\n let len = arr.length;\n for (let i = 0; i < len; i++) {\n for (let j = 0; j < len - i - 1; j++) {\n if (arr[j] > arr[j + 1]) {\n let temp = arr[j];\n arr[j] = arr[j + 1];\n arr[j + 1] = temp;\n }\n }\n }\n return arr;\n}",
"category": "coding"
},
{
"test": "bubble_sort_function",
"prompt": "Generate a JavaScript function that implements bubble sort.\n The function should be named 'bubbleSort' and take one parameter 'arr' (an array of numbers).\n The function should return the sorted array.\n Return only the function code, no explanation.",
"result": [
"function bubbleSort(arr) {\n let swapped, copy = arr.slice();\n for (let i = 0; i < copy.length; i++) {\n swapped = false;\n for (let j = 0; j < copy.length - 1 - i; j++) {\n if (copy[j] > copy[j + 1]) {\n let temp = copy[j];\n copy[j] = copy[j + 1];\n copy[j + 1] = temp;\n swapped = true;\n }\n }\n if (!swapped) break;\n }\n return copy;\n}"
],
"expected": "function bubbleSort(arr) { const n = arr.length; for(let i = 0; i < n; i++) { for(let j = 0; j < n-i-1; j++) { if(arr[j] > arr[j+1]) { [arr[j], arr[j+1]] = [arr[j+1], arr[j]]; } } } return arr; }",
"model": "deepseek/deepseek-r1-distill-qwen-14b:free",
"router": "deepseek/deepseek-r1-distill-qwen-14b:free",
"timestamp": "2025-04-06T15:42:44.251Z",
"passed": false,
"duration": 26921,
"reason": "Expected function bubbleSort(arr) { const n = arr.length; for(let i = 0; i < n; i++) { for(let j = 0; j < n-i-1; j++) { if(arr[j] > arr[j+1]) { [arr[j], arr[j+1]] = [arr[j+1], arr[j]]; } } } return arr; }, but got function bubblesort(arr) {\n let swapped, copy = arr.slice();\n for (let i = 0; i < copy.length; i++) {\n swapped = false;\n for (let j = 0; j < copy.length - 1 - i; j++) {\n if (copy[j] > copy[j + 1]) {\n let temp = copy[j];\n copy[j] = copy[j + 1];\n copy[j + 1] = temp;\n swapped = true;\n }\n }\n if (!swapped) break;\n }\n return copy;\n}",
"category": "coding"
},
{
"test": "bubble_sort_function",
"prompt": "Generate a JavaScript function that implements bubble sort.\n The function should be named 'bubbleSort' and take one parameter 'arr' (an array of numbers).\n The function should return the sorted array.\n Return only the function code, no explanation.",
"result": [
"function bubbleSort(arr) {\n let len = arr.length;\n for (let i = 0; i < len - 1; i++) {\n for (let j = 0; j < len - 1 - i; j++) {\n if (arr[j] > arr[j + 1]) {\n [arr[j], arr[j + 1]] = [arr[j + 1], arr[j]];\n }\n }\n }\n return arr;\n}"
],
"expected": "function bubbleSort(arr) { const n = arr.length; for(let i = 0; i < n; i++) { for(let j = 0; j < n-i-1; j++) { if(arr[j] > arr[j+1]) { [arr[j], arr[j+1]] = [arr[j+1], arr[j]]; } } } return arr; }",
"model": "openai/gpt-4o-mini",
"router": "openai/gpt-4o-mini",
"timestamp": "2025-04-06T15:42:47.154Z",
"passed": false,
"duration": 2890,
"reason": "Expected function bubbleSort(arr) { const n = arr.length; for(let i = 0; i < n; i++) { for(let j = 0; j < n-i-1; j++) { if(arr[j] > arr[j+1]) { [arr[j], arr[j+1]] = [arr[j+1], arr[j]]; } } } return arr; }, but got function bubblesort(arr) {\n let len = arr.length;\n for (let i = 0; i < len - 1; i++) {\n for (let j = 0; j < len - 1 - i; j++) {\n if (arr[j] > arr[j + 1]) {\n [arr[j], arr[j + 1]] = [arr[j + 1], arr[j]];\n }\n }\n }\n return arr;\n}",
"category": "coding"
},
{
"test": "bubble_sort_function",
"prompt": "Generate a JavaScript function that implements bubble sort.\n The function should be named 'bubbleSort' and take one parameter 'arr' (an array of numbers).\n The function should return the sorted array.\n Return only the function code, no explanation.",
"result": [
"function bubbleSort(arr) {\n let n = arr.length;\n for (let i = 0; i < n - 1; i++) {\n for (let j = 0; j < n - i - 1; j++) {\n if (arr[j] > arr[j + 1]) {\n let temp = arr[j];\n arr[j] = arr[j + 1];\n arr[j + 1] = temp;\n }\n }\n }\n return arr;\n}"
],
"expected": "function bubbleSort(arr) { const n = arr.length; for(let i = 0; i < n; i++) { for(let j = 0; j < n-i-1; j++) { if(arr[j] > arr[j+1]) { [arr[j], arr[j+1]] = [arr[j+1], arr[j]]; } } } return arr; }",
"model": "openrouter/quasar-alpha",
"router": "openrouter/quasar-alpha",
"timestamp": "2025-04-06T15:42:50.503Z",
"passed": false,
"duration": 3335,
"reason": "Expected function bubbleSort(arr) { const n = arr.length; for(let i = 0; i < n; i++) { for(let j = 0; j < n-i-1; j++) { if(arr[j] > arr[j+1]) { [arr[j], arr[j+1]] = [arr[j+1], arr[j]]; } } } return arr; }, but got function bubblesort(arr) {\n let n = arr.length;\n for (let i = 0; i < n - 1; i++) {\n for (let j = 0; j < n - i - 1; j++) {\n if (arr[j] > arr[j + 1]) {\n let temp = arr[j];\n arr[j] = arr[j + 1];\n arr[j + 1] = temp;\n }\n }\n }\n return arr;\n}",
"category": "coding"
}
],
"highscores": [
@ -952,13 +1072,13 @@
"rankings": [
{
"model": "openai/gpt-4o-mini",
"duration": 1158,
"duration_secs": 1.158
"duration": 1247,
"duration_secs": 1.247
},
{
"model": "openrouter/quasar-alpha",
"duration": 1229,
"duration_secs": 1.229
"model": "openai/gpt-3.5-turbo",
"duration": 1363,
"duration_secs": 1.363
}
]
},
@ -982,16 +1102,16 @@
"rankings": [
{
"model": "openai/gpt-3.5-turbo",
"duration": 1375,
"duration_secs": 1.375
"duration": 1674,
"duration_secs": 1.674
},
{
"model": "openrouter/quasar-alpha",
"duration": 1841,
"duration_secs": 1.841
"model": "openai/gpt-4o-mini",
"duration": 2890,
"duration_secs": 2.89
}
]
}
],
"lastUpdated": "2025-04-06T14:34:49.820Z"
"lastUpdated": "2025-04-06T15:42:50.503Z"
}

View File

@ -6,14 +6,14 @@
| Test | Model | Duration (ms) | Duration (s) |
|------|-------|--------------|--------------|
| factorial_function | openai/gpt-4o-mini | 1158 | 1.16 |
| factorial_function | openrouter/quasar-alpha | 1229 | 1.23 |
| factorial_function | openai/gpt-3.5-turbo | 1514 | 1.51 |
| factorial_function | deepseek/deepseek-r1-distill-qwen-14b:free | 8463 | 8.46 |
| bubble_sort_function | openai/gpt-3.5-turbo | 1375 | 1.38 |
| bubble_sort_function | openrouter/quasar-alpha | 1841 | 1.84 |
| bubble_sort_function | openai/gpt-4o-mini | 2474 | 2.47 |
| bubble_sort_function | deepseek/deepseek-r1-distill-qwen-14b:free | 17999 | 18.00 |
| factorial_function | openai/gpt-4o-mini | 1247 | 1.25 |
| factorial_function | openai/gpt-3.5-turbo | 1363 | 1.36 |
| factorial_function | openrouter/quasar-alpha | 1525 | 1.52 |
| factorial_function | deepseek/deepseek-r1-distill-qwen-14b:free | 8043 | 8.04 |
| bubble_sort_function | openai/gpt-3.5-turbo | 1674 | 1.67 |
| bubble_sort_function | openai/gpt-4o-mini | 2890 | 2.89 |
| bubble_sort_function | openrouter/quasar-alpha | 3335 | 3.33 |
| bubble_sort_function | deepseek/deepseek-r1-distill-qwen-14b:free | 26921 | 26.92 |
## Summary
@ -21,7 +21,7 @@
- Passed: 0
- Failed: 8
- Success Rate: 0.00%
- Average Duration: 4507ms (4.51s)
- Average Duration: 5875ms (5.87s)
## Failed Tests
@ -38,7 +38,7 @@
return n * factorial(n - 1);
}
}`
- Duration: 1514ms (1.51s)
- Duration: 1363ms (1.36s)
- Reason: Expected function factorial(n) { return n <= 1 ? 1 : n * factorial(n - 1); }, but got function factorial(n) {
if (n === 0 || n === 1) {
return 1;
@ -46,7 +46,7 @@
return n * factorial(n - 1);
}
}
- Timestamp: 4/6/2025, 4:34:15 PM
- Timestamp: 4/6/2025, 5:42:04 PM
### factorial_function - deepseek/deepseek-r1-distill-qwen-14b:free
@ -55,23 +55,35 @@
Return only the function code, no explanation.`
- Expected: `function factorial(n) { return n <= 1 ? 1 : n * factorial(n - 1); }`
- Actual: `function factorial(n) {
if (n <= 1) return 1;
let result = 1;
for (let i = 2; i <= n; i++) {
result *= i;
}
return result;
}`
- Duration: 8463ms (8.46s)
- Reason: Expected function factorial(n) { return n <= 1 ? 1 : n * factorial(n - 1); }, but got function factorial(n) {
if (n <= 1) return 1;
let result = 1;
for (let i = 2; i <= n; i++) {
result *= i;
}
return result;
}
- Timestamp: 4/6/2025, 4:34:23 PM
// Example usage:
// factorial(5) // returns 120
// factorial(0) // returns 1
// factorial(1) // returns 1
// Note: The function assumes that n is a non-negative integer.`
- Duration: 8043ms (8.04s)
- Reason: Expected function factorial(n) { return n <= 1 ? 1 : n * factorial(n - 1); }, but got function factorial(n) {
let result = 1;
for (let i = 2; i <= n; i++) {
result *= i;
}
return result;
}
// example usage:
// factorial(5) // returns 120
// factorial(0) // returns 1
// factorial(1) // returns 1
// note: the function assumes that n is a non-negative integer.
- Timestamp: 4/6/2025, 5:42:12 PM
### factorial_function - openai/gpt-4o-mini
@ -83,12 +95,12 @@
if (n === 0 || n === 1) return 1;
return n * factorial(n - 1);
}`
- Duration: 1158ms (1.16s)
- Duration: 1247ms (1.25s)
- Reason: Expected function factorial(n) { return n <= 1 ? 1 : n * factorial(n - 1); }, but got function factorial(n) {
if (n === 0 || n === 1) return 1;
return n * factorial(n - 1);
}
- Timestamp: 4/6/2025, 4:34:24 PM
- Timestamp: 4/6/2025, 5:42:14 PM
### factorial_function - openrouter/quasar-alpha
@ -97,19 +109,17 @@
Return only the function code, no explanation.`
- Expected: `function factorial(n) { return n <= 1 ? 1 : n * factorial(n - 1); }`
- Actual: `function factorial(n) {
if (n === 0 || n === 1) {
return 1;
}
if (n < 0) return undefined;
if (n === 0 || n === 1) return 1;
return n * factorial(n - 1);
}`
- Duration: 1229ms (1.23s)
- Duration: 1525ms (1.52s)
- Reason: Expected function factorial(n) { return n <= 1 ? 1 : n * factorial(n - 1); }, but got function factorial(n) {
if (n === 0 || n === 1) {
return 1;
}
if (n < 0) return undefined;
if (n === 0 || n === 1) return 1;
return n * factorial(n - 1);
}
- Timestamp: 4/6/2025, 4:34:26 PM
- Timestamp: 4/6/2025, 5:42:15 PM
### bubble_sort_function - openai/gpt-3.5-turbo
@ -119,11 +129,11 @@
Return only the function code, no explanation.`
- Expected: `function bubbleSort(arr) { const n = arr.length; for(let i = 0; i < n; i++) { for(let j = 0; j < n-i-1; j++) { if(arr[j] > arr[j+1]) { [arr[j], arr[j+1]] = [arr[j+1], arr[j]]; } } } return arr; }`
- Actual: `function bubbleSort(arr) {
var len = arr.length;
for (var i = 0; i < len; i++) {
for (var j = 0; j < len - i - 1; j++) {
let len = arr.length;
for (let i = 0; i < len; i++) {
for (let j = 0; j < len - i - 1; j++) {
if (arr[j] > arr[j + 1]) {
var temp = arr[j];
let temp = arr[j];
arr[j] = arr[j + 1];
arr[j + 1] = temp;
}
@ -131,13 +141,13 @@
}
return arr;
}`
- Duration: 1375ms (1.38s)
- Duration: 1674ms (1.67s)
- Reason: Expected function bubbleSort(arr) { const n = arr.length; for(let i = 0; i < n; i++) { for(let j = 0; j < n-i-1; j++) { if(arr[j] > arr[j+1]) { [arr[j], arr[j+1]] = [arr[j+1], arr[j]]; } } } return arr; }, but got function bubblesort(arr) {
var len = arr.length;
for (var i = 0; i < len; i++) {
for (var j = 0; j < len - i - 1; j++) {
let len = arr.length;
for (let i = 0; i < len; i++) {
for (let j = 0; j < len - i - 1; j++) {
if (arr[j] > arr[j + 1]) {
var temp = arr[j];
let temp = arr[j];
arr[j] = arr[j + 1];
arr[j + 1] = temp;
}
@ -145,7 +155,7 @@
}
return arr;
}
- Timestamp: 4/6/2025, 4:34:27 PM
- Timestamp: 4/6/2025, 5:42:17 PM
### bubble_sort_function - deepseek/deepseek-r1-distill-qwen-14b:free
@ -155,41 +165,39 @@
Return only the function code, no explanation.`
- Expected: `function bubbleSort(arr) { const n = arr.length; for(let i = 0; i < n; i++) { for(let j = 0; j < n-i-1; j++) { if(arr[j] > arr[j+1]) { [arr[j], arr[j+1]] = [arr[j+1], arr[j]]; } } } return arr; }`
- Actual: `function bubbleSort(arr) {
let sortedArr = arr.slice();
let n = sortedArr.length;
for (let i = 0; i < n; i++) {
let swapped = false;
for (let j = 0; j < n - 1 - i; j++) {
if (sortedArr[j] > sortedArr[j + 1]) {
let temp = sortedArr[j];
sortedArr[j] = sortedArr[j + 1];
sortedArr[j + 1] = temp;
let swapped, copy = arr.slice();
for (let i = 0; i < copy.length; i++) {
swapped = false;
for (let j = 0; j < copy.length - 1 - i; j++) {
if (copy[j] > copy[j + 1]) {
let temp = copy[j];
copy[j] = copy[j + 1];
copy[j + 1] = temp;
swapped = true;
}
}
if (!swapped) break;
}
return sortedArr;
return copy;
}`
- Duration: 17999ms (18.00s)
- Duration: 26921ms (26.92s)
- Reason: Expected function bubbleSort(arr) { const n = arr.length; for(let i = 0; i < n; i++) { for(let j = 0; j < n-i-1; j++) { if(arr[j] > arr[j+1]) { [arr[j], arr[j+1]] = [arr[j+1], arr[j]]; } } } return arr; }, but got function bubblesort(arr) {
let sortedarr = arr.slice();
let n = sortedarr.length;
for (let i = 0; i < n; i++) {
let swapped = false;
for (let j = 0; j < n - 1 - i; j++) {
if (sortedarr[j] > sortedarr[j + 1]) {
let temp = sortedarr[j];
sortedarr[j] = sortedarr[j + 1];
sortedarr[j + 1] = temp;
let swapped, copy = arr.slice();
for (let i = 0; i < copy.length; i++) {
swapped = false;
for (let j = 0; j < copy.length - 1 - i; j++) {
if (copy[j] > copy[j + 1]) {
let temp = copy[j];
copy[j] = copy[j + 1];
copy[j + 1] = temp;
swapped = true;
}
}
if (!swapped) break;
}
return sortedarr;
return copy;
}
- Timestamp: 4/6/2025, 4:34:45 PM
- Timestamp: 4/6/2025, 5:42:44 PM
### bubble_sort_function - openai/gpt-4o-mini
@ -199,9 +207,9 @@
Return only the function code, no explanation.`
- Expected: `function bubbleSort(arr) { const n = arr.length; for(let i = 0; i < n; i++) { for(let j = 0; j < n-i-1; j++) { if(arr[j] > arr[j+1]) { [arr[j], arr[j+1]] = [arr[j+1], arr[j]]; } } } return arr; }`
- Actual: `function bubbleSort(arr) {
let n = arr.length;
for (let i = 0; i < n - 1; i++) {
for (let j = 0; j < n - i - 1; j++) {
let len = arr.length;
for (let i = 0; i < len - 1; i++) {
for (let j = 0; j < len - 1 - i; j++) {
if (arr[j] > arr[j + 1]) {
[arr[j], arr[j + 1]] = [arr[j + 1], arr[j]];
}
@ -209,11 +217,11 @@
}
return arr;
}`
- Duration: 2474ms (2.47s)
- Duration: 2890ms (2.89s)
- Reason: Expected function bubbleSort(arr) { const n = arr.length; for(let i = 0; i < n; i++) { for(let j = 0; j < n-i-1; j++) { if(arr[j] > arr[j+1]) { [arr[j], arr[j+1]] = [arr[j+1], arr[j]]; } } } return arr; }, but got function bubblesort(arr) {
let n = arr.length;
for (let i = 0; i < n - 1; i++) {
for (let j = 0; j < n - i - 1; j++) {
let len = arr.length;
for (let i = 0; i < len - 1; i++) {
for (let j = 0; j < len - 1 - i; j++) {
if (arr[j] > arr[j + 1]) {
[arr[j], arr[j + 1]] = [arr[j + 1], arr[j]];
}
@ -221,7 +229,7 @@
}
return arr;
}
- Timestamp: 4/6/2025, 4:34:47 PM
- Timestamp: 4/6/2025, 5:42:47 PM
### bubble_sort_function - openrouter/quasar-alpha
@ -233,7 +241,7 @@
- Actual: `function bubbleSort(arr) {
let n = arr.length;
for (let i = 0; i < n - 1; i++) {
for (let j = 0; j < n - 1 - i; j++) {
for (let j = 0; j < n - i - 1; j++) {
if (arr[j] > arr[j + 1]) {
let temp = arr[j];
arr[j] = arr[j + 1];
@ -243,11 +251,11 @@
}
return arr;
}`
- Duration: 1841ms (1.84s)
- Duration: 3335ms (3.33s)
- Reason: Expected function bubbleSort(arr) { const n = arr.length; for(let i = 0; i < n; i++) { for(let j = 0; j < n-i-1; j++) { if(arr[j] > arr[j+1]) { [arr[j], arr[j+1]] = [arr[j+1], arr[j]]; } } } return arr; }, but got function bubblesort(arr) {
let n = arr.length;
for (let i = 0; i < n - 1; i++) {
for (let j = 0; j < n - 1 - i; j++) {
for (let j = 0; j < n - i - 1; j++) {
if (arr[j] > arr[j + 1]) {
let temp = arr[j];
arr[j] = arr[j + 1];
@ -257,7 +265,7 @@
}
return arr;
}
- Timestamp: 4/6/2025, 4:34:49 PM
- Timestamp: 4/6/2025, 5:42:50 PM
## Passed Tests

View File

@ -2194,6 +2194,182 @@
"duration": 2950,
"reason": "Expected [\"cat\",\"fox\"], but got [\"cat\", \"fox\"]",
"category": "files"
},
{
"test": "file-inclusion",
"prompt": "What is the name of the algorithm implemented in these files? Return only the name.",
"result": [
"Bubble Sort"
],
"expected": "bubble sort",
"model": "openai/gpt-4o-mini",
"router": "openai/gpt-4o-mini",
"timestamp": "2025-04-06T15:42:04.678Z",
"passed": true,
"duration": 1269,
"category": "files"
},
{
"test": "file-inclusion",
"prompt": "What is the name of the algorithm implemented in these files? Return only the name.",
"result": [
"Bubble Sort"
],
"expected": "bubble sort",
"model": "openrouter/quasar-alpha",
"router": "openrouter/quasar-alpha",
"timestamp": "2025-04-06T15:42:05.623Z",
"passed": true,
"duration": 931,
"category": "files"
},
{
"test": "file-inclusion",
"prompt": "What is the name of the algorithm implemented in these files? Return only the name.",
"result": [
"bubbleSort\n"
],
"expected": "bubble sort",
"model": "google/gemini-2.0-flash-exp:free",
"router": "google/gemini-2.0-flash-exp:free",
"timestamp": "2025-04-06T15:42:08.129Z",
"passed": false,
"duration": 2494,
"reason": "Expected bubble sort, but got bubblesort",
"category": "files"
},
{
"test": "file-inclusion",
"prompt": "List all algorithms implemented in these files, as JSON array.",
"result": [
"[\"factorial\", \"bubbleSort\"]"
],
"expected": "[\"bubble sort\",\"factorial\"]",
"model": "openai/gpt-4o-mini",
"router": "openai/gpt-4o-mini",
"timestamp": "2025-04-06T15:42:09.165Z",
"passed": false,
"duration": 1024,
"reason": "Expected [\"bubble sort\",\"factorial\"], but got [\"factorial\", \"bubblesort\"]",
"category": "files"
},
{
"test": "file-inclusion",
"prompt": "List all algorithms implemented in these files, as JSON array.",
"result": [
"[\n \"factorial\",\n \"bubble sort\"\n]"
],
"expected": "[\"bubble sort\",\"factorial\"]",
"model": "openrouter/quasar-alpha",
"router": "openrouter/quasar-alpha",
"timestamp": "2025-04-06T15:42:10.253Z",
"passed": false,
"duration": 1076,
"reason": "Expected [\"bubble sort\",\"factorial\"], but got [\n \"factorial\",\n \"bubble sort\"\n]",
"category": "files"
},
{
"test": "file-inclusion",
"prompt": "List all algorithms implemented in these files, as JSON array.",
"result": [
"[\n \"factorial\",\n \"bubbleSort\"\n]"
],
"expected": "[\"bubble sort\",\"factorial\"]",
"model": "google/gemini-2.0-flash-exp:free",
"router": "google/gemini-2.0-flash-exp:free",
"timestamp": "2025-04-06T15:42:12.809Z",
"passed": false,
"duration": 2545,
"reason": "Expected [\"bubble sort\",\"factorial\"], but got [\n \"factorial\",\n \"bubblesort\"\n]",
"category": "files"
},
{
"test": "file-inclusion",
"prompt": "What is the title of the product in data.json? Return only the title.",
"result": [
"Injection Barrel"
],
"expected": "Injection Barrel",
"model": "openai/gpt-4o-mini",
"router": "openai/gpt-4o-mini",
"timestamp": "2025-04-06T15:42:14.395Z",
"passed": false,
"duration": 1571,
"reason": "Expected Injection Barrel, but got injection barrel",
"category": "files"
},
{
"test": "file-inclusion",
"prompt": "What is the title of the product in data.json? Return only the title.",
"result": [
"Injection Barrel"
],
"expected": "Injection Barrel",
"model": "openrouter/quasar-alpha",
"router": "openrouter/quasar-alpha",
"timestamp": "2025-04-06T15:42:16.347Z",
"passed": false,
"duration": 1942,
"reason": "Expected Injection Barrel, but got injection barrel",
"category": "files"
},
{
"test": "file-inclusion",
"prompt": "What is the title of the product in data.json? Return only the title.",
"result": [
"Injection Barrel"
],
"expected": "Injection Barrel",
"model": "google/gemini-2.0-flash-exp:free",
"router": "google/gemini-2.0-flash-exp:free",
"timestamp": "2025-04-06T15:42:18.761Z",
"passed": false,
"duration": 2400,
"reason": "Expected Injection Barrel, but got injection barrel",
"category": "files"
},
{
"test": "file-inclusion",
"prompt": "What animals are shown in these images? Return as JSON array.",
"result": [
"[\"cat\", \"fox\"]"
],
"expected": "[\"cat\",\"fox\"]",
"model": "openai/gpt-4o-mini",
"router": "openai/gpt-4o-mini",
"timestamp": "2025-04-06T15:42:20.598Z",
"passed": false,
"duration": 1825,
"reason": "Expected [\"cat\",\"fox\"], but got [\"cat\", \"fox\"]",
"category": "files"
},
{
"test": "file-inclusion",
"prompt": "What animals are shown in these images? Return as JSON array.",
"result": [
"[\"cat\", \"fox\"]"
],
"expected": "[\"cat\",\"fox\"]",
"model": "openrouter/quasar-alpha",
"router": "openrouter/quasar-alpha",
"timestamp": "2025-04-06T15:42:22.544Z",
"passed": false,
"duration": 1934,
"reason": "Expected [\"cat\",\"fox\"], but got [\"cat\", \"fox\"]",
"category": "files"
},
{
"test": "file-inclusion",
"prompt": "What animals are shown in these images? Return as JSON array.",
"result": [],
"expected": "[\"cat\",\"fox\"]",
"model": "google/gemini-2.0-flash-exp:free",
"router": "google/gemini-2.0-flash-exp:free",
"timestamp": "2025-04-06T15:42:23.361Z",
"passed": false,
"duration": 805,
"reason": "Model returned empty response",
"category": "files"
}
],
"highscores": [
@ -2207,11 +2383,11 @@
},
{
"model": "google/gemini-2.0-flash-exp:free",
"duration": 2950,
"duration_secs": 2.95
"duration": 805,
"duration_secs": 0.805
}
]
}
],
"lastUpdated": "2025-04-04T16:42:17.450Z"
"lastUpdated": "2025-04-06T15:42:23.362Z"
}

View File

@ -6,9 +6,9 @@
| Test | Model | Duration (ms) | Duration (s) |
|------|-------|--------------|--------------|
| file-inclusion | google/gemini-2.0-flash-exp:free | 2950 | 2.95 |
| file-inclusion | openai/gpt-4o-mini | 3954 | 3.95 |
| file-inclusion | openrouter/quasar-alpha | 6527 | 6.53 |
| file-inclusion | google/gemini-2.0-flash-exp:free | 805 | 0.81 |
| file-inclusion | openai/gpt-4o-mini | 1825 | 1.82 |
| file-inclusion | openrouter/quasar-alpha | 1934 | 1.93 |
## Summary
@ -16,7 +16,7 @@
- Passed: 2
- Failed: 10
- Success Rate: 16.67%
- Average Duration: 10845ms (10.84s)
- Average Duration: 1651ms (1.65s)
## Failed Tests
@ -25,33 +25,27 @@
- Prompt: `What animals are shown in these images? Return as JSON array.`
- Expected: `["cat","fox"]`
- Actual: `["cat", "fox"]`
- Duration: 3954ms (3.95s)
- Duration: 1825ms (1.82s)
- Reason: Expected ["cat","fox"], but got ["cat", "fox"]
- Timestamp: 4/4/2025, 6:42:07 PM
- Timestamp: 4/6/2025, 5:42:20 PM
### file-inclusion - openrouter/quasar-alpha
- Prompt: `What animals are shown in these images? Return as JSON array.`
- Expected: `["cat","fox"]`
- Actual: `[
"cat",
"fox"
]`
- Duration: 6527ms (6.53s)
- Reason: Expected ["cat","fox"], but got [
"cat",
"fox"
]
- Timestamp: 4/4/2025, 6:42:14 PM
- Actual: `["cat", "fox"]`
- Duration: 1934ms (1.93s)
- Reason: Expected ["cat","fox"], but got ["cat", "fox"]
- Timestamp: 4/6/2025, 5:42:22 PM
### file-inclusion - google/gemini-2.0-flash-exp:free
- Prompt: `What animals are shown in these images? Return as JSON array.`
- Expected: `["cat","fox"]`
- Actual: `["cat", "fox"]`
- Duration: 2950ms (2.95s)
- Reason: Expected ["cat","fox"], but got ["cat", "fox"]
- Timestamp: 4/4/2025, 6:42:17 PM
- Actual: ``
- Duration: 805ms (0.81s)
- Reason: Model returned empty response
- Timestamp: 4/6/2025, 5:42:23 PM
## Passed Tests

View File

@ -3683,6 +3683,288 @@
"passed": true,
"duration": 861,
"category": "math"
},
{
"test": "quadratic",
"prompt": "Solve the quadratic equation x² + 5x + 6 = 0. Return only the solutions as comma-separated numbers, no explanation.",
"result": [
"-2, -3"
],
"expected": "-2,-3",
"model": "openai/gpt-3.5-turbo",
"router": "openai/gpt-3.5-turbo",
"timestamp": "2025-04-06T15:42:04.602Z",
"passed": false,
"duration": 1193,
"reason": "Expected -2,-3, but got -2, -3",
"category": "math"
},
{
"test": "quadratic",
"prompt": "Solve the quadratic equation x² + 5x + 6 = 0. Return only the solutions as comma-separated numbers, no explanation.",
"result": [
"The solutions to the quadratic equation \\( x^2 + 5x + 6 = 0 \\) are \\( x = -2 \\) and \\( x = -3 \\).\n\n-2,-3"
],
"expected": "-2,-3",
"model": "deepseek/deepseek-r1-distill-qwen-14b:free",
"router": "deepseek/deepseek-r1-distill-qwen-14b:free",
"timestamp": "2025-04-06T15:42:15.202Z",
"passed": false,
"duration": 10584,
"reason": "Expected -2,-3, but got the solutions to the quadratic equation \\( x^2 + 5x + 6 = 0 \\) are \\( x = -2 \\) and \\( x = -3 \\).\n\n-2,-3",
"category": "math"
},
{
"test": "quadratic",
"prompt": "Solve the quadratic equation x² + 5x + 6 = 0. Return only the solutions as comma-separated numbers, no explanation.",
"result": [
"-2, -3"
],
"expected": "-2,-3",
"model": "openai/gpt-4o-mini",
"router": "openai/gpt-4o-mini",
"timestamp": "2025-04-06T15:42:16.342Z",
"passed": false,
"duration": 1127,
"reason": "Expected -2,-3, but got -2, -3",
"category": "math"
},
{
"test": "quadratic",
"prompt": "Solve the quadratic equation x² + 5x + 6 = 0. Return only the solutions as comma-separated numbers, no explanation.",
"result": [
"-2, -3"
],
"expected": "-2,-3",
"model": "openrouter/quasar-alpha",
"router": "openrouter/quasar-alpha",
"timestamp": "2025-04-06T15:42:17.238Z",
"passed": false,
"duration": 880,
"reason": "Expected -2,-3, but got -2, -3",
"category": "math"
},
{
"test": "factorial",
"prompt": "Calculate 5! (factorial of 5). Return only the number, no explanation.",
"result": [
"120"
],
"expected": "120",
"model": "openai/gpt-3.5-turbo",
"router": "openai/gpt-3.5-turbo",
"timestamp": "2025-04-06T15:42:18.023Z",
"passed": true,
"duration": 771,
"category": "math"
},
{
"test": "factorial",
"prompt": "Calculate 5! (factorial of 5). Return only the number, no explanation.",
"result": [
"120"
],
"expected": "120",
"model": "deepseek/deepseek-r1-distill-qwen-14b:free",
"router": "deepseek/deepseek-r1-distill-qwen-14b:free",
"timestamp": "2025-04-06T15:42:23.142Z",
"passed": true,
"duration": 5106,
"category": "math"
},
{
"test": "factorial",
"prompt": "Calculate 5! (factorial of 5). Return only the number, no explanation.",
"result": [
"120"
],
"expected": "120",
"model": "openai/gpt-4o-mini",
"router": "openai/gpt-4o-mini",
"timestamp": "2025-04-06T15:42:23.892Z",
"passed": true,
"duration": 738,
"category": "math"
},
{
"test": "factorial",
"prompt": "Calculate 5! (factorial of 5). Return only the number, no explanation.",
"result": [
"120"
],
"expected": "120",
"model": "openrouter/quasar-alpha",
"router": "openrouter/quasar-alpha",
"timestamp": "2025-04-06T15:42:24.750Z",
"passed": true,
"duration": 843,
"category": "math"
},
{
"test": "fibonacci",
"prompt": "Calculate the 6th number in the Fibonacci sequence. Return only the number, no explanation.",
"result": [
"8"
],
"expected": "8",
"model": "openai/gpt-3.5-turbo",
"router": "openai/gpt-3.5-turbo",
"timestamp": "2025-04-06T15:42:25.781Z",
"passed": true,
"duration": 1018,
"category": "math"
},
{
"test": "fibonacci",
"prompt": "Calculate the 6th number in the Fibonacci sequence. Return only the number, no explanation.",
"result": [],
"expected": "8",
"model": "deepseek/deepseek-r1-distill-qwen-14b:free",
"router": "deepseek/deepseek-r1-distill-qwen-14b:free",
"timestamp": "2025-04-06T15:42:26.383Z",
"passed": false,
"duration": 589,
"reason": "Model returned empty response",
"category": "math"
},
{
"test": "fibonacci",
"prompt": "Calculate the 6th number in the Fibonacci sequence. Return only the number, no explanation.",
"result": [
"5"
],
"expected": "8",
"model": "openai/gpt-4o-mini",
"router": "openai/gpt-4o-mini",
"timestamp": "2025-04-06T15:42:27.278Z",
"passed": false,
"duration": 881,
"reason": "Expected 8, but got 5",
"category": "math"
},
{
"test": "fibonacci",
"prompt": "Calculate the 6th number in the Fibonacci sequence. Return only the number, no explanation.",
"result": [
"8"
],
"expected": "8",
"model": "openrouter/quasar-alpha",
"router": "openrouter/quasar-alpha",
"timestamp": "2025-04-06T15:42:28.585Z",
"passed": true,
"duration": 1293,
"category": "math"
},
{
"test": "square_root",
"prompt": "Calculate the square root of 16. Return only the number, no explanation.",
"result": [
"4"
],
"expected": "4",
"model": "openai/gpt-3.5-turbo",
"router": "openai/gpt-3.5-turbo",
"timestamp": "2025-04-06T15:42:29.549Z",
"passed": true,
"duration": 950,
"category": "math"
},
{
"test": "square_root",
"prompt": "Calculate the square root of 16. Return only the number, no explanation.",
"result": [],
"expected": "4",
"model": "deepseek/deepseek-r1-distill-qwen-14b:free",
"router": "deepseek/deepseek-r1-distill-qwen-14b:free",
"timestamp": "2025-04-06T15:42:29.984Z",
"passed": false,
"duration": 421,
"reason": "Model returned empty response",
"category": "math"
},
{
"test": "square_root",
"prompt": "Calculate the square root of 16. Return only the number, no explanation.",
"result": [
"4"
],
"expected": "4",
"model": "openai/gpt-4o-mini",
"router": "openai/gpt-4o-mini",
"timestamp": "2025-04-06T15:42:30.879Z",
"passed": true,
"duration": 882,
"category": "math"
},
{
"test": "square_root",
"prompt": "Calculate the square root of 16. Return only the number, no explanation.",
"result": [
"4"
],
"expected": "4",
"model": "openrouter/quasar-alpha",
"router": "openrouter/quasar-alpha",
"timestamp": "2025-04-06T15:42:31.955Z",
"passed": true,
"duration": 1064,
"category": "math"
},
{
"test": "power",
"prompt": "Calculate 2 raised to the power of 3. Return only the number, no explanation.",
"result": [
"8"
],
"expected": "8",
"model": "openai/gpt-3.5-turbo",
"router": "openai/gpt-3.5-turbo",
"timestamp": "2025-04-06T15:42:32.761Z",
"passed": true,
"duration": 793,
"category": "math"
},
{
"test": "power",
"prompt": "Calculate 2 raised to the power of 3. Return only the number, no explanation.",
"result": [],
"expected": "8",
"model": "deepseek/deepseek-r1-distill-qwen-14b:free",
"router": "deepseek/deepseek-r1-distill-qwen-14b:free",
"timestamp": "2025-04-06T15:42:33.227Z",
"passed": false,
"duration": 454,
"reason": "Model returned empty response",
"category": "math"
},
{
"test": "power",
"prompt": "Calculate 2 raised to the power of 3. Return only the number, no explanation.",
"result": [
"8"
],
"expected": "8",
"model": "openai/gpt-4o-mini",
"router": "openai/gpt-4o-mini",
"timestamp": "2025-04-06T15:42:34.024Z",
"passed": true,
"duration": 783,
"category": "math"
},
{
"test": "power",
"prompt": "Calculate 2 raised to the power of 3. Return only the number, no explanation.",
"result": [
"8"
],
"expected": "8",
"model": "openrouter/quasar-alpha",
"router": "openrouter/quasar-alpha",
"timestamp": "2025-04-06T15:42:34.820Z",
"passed": true,
"duration": 783,
"category": "math"
}
],
"highscores": [
@ -3691,13 +3973,13 @@
"rankings": [
{
"model": "openrouter/quasar-alpha",
"duration": 957,
"duration_secs": 0.957
"duration": 880,
"duration_secs": 0.88
},
{
"model": "openai/gpt-4o-mini",
"duration": 1049,
"duration_secs": 1.049
"duration": 1127,
"duration_secs": 1.127
}
]
},
@ -3705,14 +3987,14 @@
"test": "factorial",
"rankings": [
{
"model": "openrouter/quasar-alpha",
"duration": 869,
"duration_secs": 0.869
"model": "openai/gpt-4o-mini",
"duration": 738,
"duration_secs": 0.738
},
{
"model": "openai/gpt-3.5-turbo",
"duration": 1188,
"duration_secs": 1.188
"duration": 771,
"duration_secs": 0.771
}
]
},
@ -3720,14 +4002,14 @@
"test": "fibonacci",
"rankings": [
{
"model": "openai/gpt-3.5-turbo",
"duration": 726,
"duration_secs": 0.726
"model": "deepseek/deepseek-r1-distill-qwen-14b:free",
"duration": 589,
"duration_secs": 0.589
},
{
"model": "openai/gpt-4o-mini",
"duration": 791,
"duration_secs": 0.791
"duration": 881,
"duration_secs": 0.881
}
]
},
@ -3735,9 +4017,9 @@
"test": "square_root",
"rankings": [
{
"model": "openrouter/quasar-alpha",
"duration": 780,
"duration_secs": 0.78
"model": "deepseek/deepseek-r1-distill-qwen-14b:free",
"duration": 421,
"duration_secs": 0.421
},
{
"model": "anthropic/claude-3.5-sonnet",
@ -3750,17 +4032,17 @@
"test": "power",
"rankings": [
{
"model": "openai/gpt-3.5-turbo",
"duration": 836,
"duration_secs": 0.836
"model": "deepseek/deepseek-r1-distill-qwen-14b:free",
"duration": 454,
"duration_secs": 0.454
},
{
"model": "openrouter/quasar-alpha",
"duration": 861,
"duration_secs": 0.861
"model": "openai/gpt-4o-mini",
"duration": 783,
"duration_secs": 0.783
}
]
}
],
"lastUpdated": "2025-04-06T15:30:24.694Z"
"lastUpdated": "2025-04-06T15:42:34.821Z"
}

View File

@ -6,34 +6,34 @@
| Test | Model | Duration (ms) | Duration (s) |
|------|-------|--------------|--------------|
| quadratic | openrouter/quasar-alpha | 957 | 0.96 |
| quadratic | openai/gpt-4o-mini | 1049 | 1.05 |
| quadratic | openai/gpt-3.5-turbo | 1532 | 1.53 |
| quadratic | deepseek/deepseek-r1-distill-qwen-14b:free | 15216 | 15.22 |
| factorial | openrouter/quasar-alpha | 869 | 0.87 |
| factorial | openai/gpt-3.5-turbo | 1188 | 1.19 |
| factorial | openai/gpt-4o-mini | 1226 | 1.23 |
| factorial | deepseek/deepseek-r1-distill-qwen-14b:free | 6695 | 6.70 |
| fibonacci | openai/gpt-3.5-turbo | 726 | 0.73 |
| fibonacci | openai/gpt-4o-mini | 791 | 0.79 |
| fibonacci | openrouter/quasar-alpha | 1023 | 1.02 |
| fibonacci | deepseek/deepseek-r1-distill-qwen-14b:free | 4375 | 4.38 |
| square_root | openrouter/quasar-alpha | 780 | 0.78 |
| square_root | openai/gpt-3.5-turbo | 1012 | 1.01 |
| square_root | openai/gpt-4o-mini | 1031 | 1.03 |
| square_root | deepseek/deepseek-r1-distill-qwen-14b:free | 1923 | 1.92 |
| power | openai/gpt-3.5-turbo | 836 | 0.84 |
| power | openrouter/quasar-alpha | 861 | 0.86 |
| power | openai/gpt-4o-mini | 935 | 0.94 |
| power | deepseek/deepseek-r1-distill-qwen-14b:free | 4854 | 4.85 |
| quadratic | openrouter/quasar-alpha | 880 | 0.88 |
| quadratic | openai/gpt-4o-mini | 1127 | 1.13 |
| quadratic | openai/gpt-3.5-turbo | 1193 | 1.19 |
| quadratic | deepseek/deepseek-r1-distill-qwen-14b:free | 10584 | 10.58 |
| factorial | openai/gpt-4o-mini | 738 | 0.74 |
| factorial | openai/gpt-3.5-turbo | 771 | 0.77 |
| factorial | openrouter/quasar-alpha | 843 | 0.84 |
| factorial | deepseek/deepseek-r1-distill-qwen-14b:free | 5106 | 5.11 |
| fibonacci | deepseek/deepseek-r1-distill-qwen-14b:free | 589 | 0.59 |
| fibonacci | openai/gpt-4o-mini | 881 | 0.88 |
| fibonacci | openai/gpt-3.5-turbo | 1018 | 1.02 |
| fibonacci | openrouter/quasar-alpha | 1293 | 1.29 |
| square_root | deepseek/deepseek-r1-distill-qwen-14b:free | 421 | 0.42 |
| square_root | openai/gpt-4o-mini | 882 | 0.88 |
| square_root | openai/gpt-3.5-turbo | 950 | 0.95 |
| square_root | openrouter/quasar-alpha | 1064 | 1.06 |
| power | deepseek/deepseek-r1-distill-qwen-14b:free | 454 | 0.45 |
| power | openai/gpt-4o-mini | 783 | 0.78 |
| power | openrouter/quasar-alpha | 783 | 0.78 |
| power | openai/gpt-3.5-turbo | 793 | 0.79 |
## Summary
- Total Tests: 20
- Passed: 14
- Failed: 6
- Success Rate: 70.00%
- Average Duration: 2394ms (2.39s)
- Passed: 12
- Failed: 8
- Success Rate: 60.00%
- Average Duration: 1558ms (1.56s)
## Failed Tests
@ -42,102 +42,76 @@
- Prompt: `Solve the quadratic equation x² + 5x + 6 = 0. Return only the solutions as comma-separated numbers, no explanation.`
- Expected: `-2,-3`
- Actual: `-2, -3`
- Duration: 1532ms (1.53s)
- Duration: 1193ms (1.19s)
- Reason: Expected -2,-3, but got -2, -3
- Timestamp: 4/6/2025, 5:29:38 PM
- Timestamp: 4/6/2025, 5:42:04 PM
### quadratic - deepseek/deepseek-r1-distill-qwen-14b:free
- Prompt: `Solve the quadratic equation x² + 5x + 6 = 0. Return only the solutions as comma-separated numbers, no explanation.`
- Expected: `-2,-3`
- Actual: `The solutions to the equation x² + 5x + 6 = 0 are -2 and -3.
- Actual: `The solutions to the quadratic equation \( x^2 + 5x + 6 = 0 \) are \( x = -2 \) and \( x = -3 \).
-2, -3
-2,-3`
- Duration: 10584ms (10.58s)
- Reason: Expected -2,-3, but got the solutions to the quadratic equation \( x^2 + 5x + 6 = 0 \) are \( x = -2 \) and \( x = -3 \).
**Step-by-Step Explanation:**
1. **Identify the coefficients:** The quadratic equation is x² + 5x + 6 = 0, so a = 1, b = 5, c = 6.
2. **Factor the quadratic equation:** Look for two numbers that multiply to 6 (the constant term, c) and add up to 5 (the coefficient of the x term, b). These numbers are 2 and 3.
3. **Write the factored form:** Using these numbers, the equation can be rewritten as (x + 2)(x + 3) = 0.
4. **Apply the Zero Product Property:** Set each factor equal to zero:
- x + 2 = 0 ⇒ x = -2
- x + 3 = 0 ⇒ x = -3
5. **Confirm with the Quadratic Formula:** As an alternative, using the quadratic formula x = (-b ± √(b² - 4ac)) / (2a):
- Calculate the discriminant: D = 5² - 4*1*6 = 25 - 24 = 1.
- Plug into the formula: x = (-5 ± √1)/2, which simplifies to x = (-5 + 1)/2 = -2 and x = (-5 -1)/2 = -3.
Both methods yield the same solutions: x = -2 and x = -3.
**Final Solutions:** -2, -3
\boxed{-2, -3}`
- Duration: 15216ms (15.22s)
- Reason: Expected -2,-3, but got the solutions to the equation x² + 5x + 6 = 0 are -2 and -3.
-2, -3
**step-by-step explanation:**
1. **identify the coefficients:** the quadratic equation is x² + 5x + 6 = 0, so a = 1, b = 5, c = 6.
2. **factor the quadratic equation:** look for two numbers that multiply to 6 (the constant term, c) and add up to 5 (the coefficient of the x term, b). these numbers are 2 and 3.
3. **write the factored form:** using these numbers, the equation can be rewritten as (x + 2)(x + 3) = 0.
4. **apply the zero product property:** set each factor equal to zero:
- x + 2 = 0 ⇒ x = -2
- x + 3 = 0 ⇒ x = -3
5. **confirm with the quadratic formula:** as an alternative, using the quadratic formula x = (-b ± √(b² - 4ac)) / (2a):
- calculate the discriminant: d = 5² - 4*1*6 = 25 - 24 = 1.
- plug into the formula: x = (-5 ± √1)/2, which simplifies to x = (-5 + 1)/2 = -2 and x = (-5 -1)/2 = -3.
both methods yield the same solutions: x = -2 and x = -3.
**final solutions:** -2, -3
\boxed{-2, -3}
- Timestamp: 4/6/2025, 5:29:53 PM
-2,-3
- Timestamp: 4/6/2025, 5:42:15 PM
### quadratic - openai/gpt-4o-mini
- Prompt: `Solve the quadratic equation x² + 5x + 6 = 0. Return only the solutions as comma-separated numbers, no explanation.`
- Expected: `-2,-3`
- Actual: `-2, -3`
- Duration: 1049ms (1.05s)
- Duration: 1127ms (1.13s)
- Reason: Expected -2,-3, but got -2, -3
- Timestamp: 4/6/2025, 5:29:54 PM
- Timestamp: 4/6/2025, 5:42:16 PM
### quadratic - openrouter/quasar-alpha
- Prompt: `Solve the quadratic equation x² + 5x + 6 = 0. Return only the solutions as comma-separated numbers, no explanation.`
- Expected: `-2,-3`
- Actual: `-2, -3`
- Duration: 957ms (0.96s)
- Duration: 880ms (0.88s)
- Reason: Expected -2,-3, but got -2, -3
- Timestamp: 4/6/2025, 5:29:55 PM
- Timestamp: 4/6/2025, 5:42:17 PM
### fibonacci - deepseek/deepseek-r1-distill-qwen-14b:free
- Prompt: `Calculate the 6th number in the Fibonacci sequence. Return only the number, no explanation.`
- Expected: `8`
- Actual: `5`
- Duration: 4375ms (4.38s)
- Reason: Expected 8, but got 5
- Timestamp: 4/6/2025, 5:30:10 PM
- Actual: ``
- Duration: 589ms (0.59s)
- Reason: Model returned empty response
- Timestamp: 4/6/2025, 5:42:26 PM
### fibonacci - openai/gpt-4o-mini
- Prompt: `Calculate the 6th number in the Fibonacci sequence. Return only the number, no explanation.`
- Expected: `8`
- Actual: `5`
- Duration: 791ms (0.79s)
- Duration: 881ms (0.88s)
- Reason: Expected 8, but got 5
- Timestamp: 4/6/2025, 5:30:11 PM
- Timestamp: 4/6/2025, 5:42:27 PM
### square_root - deepseek/deepseek-r1-distill-qwen-14b:free
- Prompt: `Calculate the square root of 16. Return only the number, no explanation.`
- Expected: `4`
- Actual: ``
- Duration: 421ms (0.42s)
- Reason: Model returned empty response
- Timestamp: 4/6/2025, 5:42:29 PM
### power - deepseek/deepseek-r1-distill-qwen-14b:free
- Prompt: `Calculate 2 raised to the power of 3. Return only the number, no explanation.`
- Expected: `8`
- Actual: ``
- Duration: 454ms (0.45s)
- Reason: Model returned empty response
- Timestamp: 4/6/2025, 5:42:33 PM
## Passed Tests
@ -146,110 +120,94 @@ both methods yield the same solutions: x = -2 and x = -3.
- Prompt: `Calculate 5! (factorial of 5). Return only the number, no explanation.`
- Expected: `120`
- Actual: `120`
- Duration: 1188ms (1.19s)
- Timestamp: 4/6/2025, 5:29:56 PM
- Duration: 771ms (0.77s)
- Timestamp: 4/6/2025, 5:42:18 PM
### factorial - deepseek/deepseek-r1-distill-qwen-14b:free
- Prompt: `Calculate 5! (factorial of 5). Return only the number, no explanation.`
- Expected: `120`
- Actual: `120`
- Duration: 6695ms (6.70s)
- Timestamp: 4/6/2025, 5:30:03 PM
- Duration: 5106ms (5.11s)
- Timestamp: 4/6/2025, 5:42:23 PM
### factorial - openai/gpt-4o-mini
- Prompt: `Calculate 5! (factorial of 5). Return only the number, no explanation.`
- Expected: `120`
- Actual: `120`
- Duration: 1226ms (1.23s)
- Timestamp: 4/6/2025, 5:30:04 PM
- Duration: 738ms (0.74s)
- Timestamp: 4/6/2025, 5:42:23 PM
### factorial - openrouter/quasar-alpha
- Prompt: `Calculate 5! (factorial of 5). Return only the number, no explanation.`
- Expected: `120`
- Actual: `120`
- Duration: 869ms (0.87s)
- Timestamp: 4/6/2025, 5:30:05 PM
- Duration: 843ms (0.84s)
- Timestamp: 4/6/2025, 5:42:24 PM
### fibonacci - openai/gpt-3.5-turbo
- Prompt: `Calculate the 6th number in the Fibonacci sequence. Return only the number, no explanation.`
- Expected: `8`
- Actual: `8`
- Duration: 726ms (0.73s)
- Timestamp: 4/6/2025, 5:30:06 PM
- Duration: 1018ms (1.02s)
- Timestamp: 4/6/2025, 5:42:25 PM
### fibonacci - openrouter/quasar-alpha
- Prompt: `Calculate the 6th number in the Fibonacci sequence. Return only the number, no explanation.`
- Expected: `8`
- Actual: `8`
- Duration: 1023ms (1.02s)
- Timestamp: 4/6/2025, 5:30:12 PM
- Duration: 1293ms (1.29s)
- Timestamp: 4/6/2025, 5:42:28 PM
### square_root - openai/gpt-3.5-turbo
- Prompt: `Calculate the square root of 16. Return only the number, no explanation.`
- Expected: `4`
- Actual: `4`
- Duration: 1012ms (1.01s)
- Timestamp: 4/6/2025, 5:30:13 PM
### square_root - deepseek/deepseek-r1-distill-qwen-14b:free
- Prompt: `Calculate the square root of 16. Return only the number, no explanation.`
- Expected: `4`
- Actual: `4`
- Duration: 1923ms (1.92s)
- Timestamp: 4/6/2025, 5:30:15 PM
- Duration: 950ms (0.95s)
- Timestamp: 4/6/2025, 5:42:29 PM
### square_root - openai/gpt-4o-mini
- Prompt: `Calculate the square root of 16. Return only the number, no explanation.`
- Expected: `4`
- Actual: `4`
- Duration: 1031ms (1.03s)
- Timestamp: 4/6/2025, 5:30:16 PM
- Duration: 882ms (0.88s)
- Timestamp: 4/6/2025, 5:42:30 PM
### square_root - openrouter/quasar-alpha
- Prompt: `Calculate the square root of 16. Return only the number, no explanation.`
- Expected: `4`
- Actual: `4`
- Duration: 780ms (0.78s)
- Timestamp: 4/6/2025, 5:30:17 PM
- Duration: 1064ms (1.06s)
- Timestamp: 4/6/2025, 5:42:31 PM
### power - openai/gpt-3.5-turbo
- Prompt: `Calculate 2 raised to the power of 3. Return only the number, no explanation.`
- Expected: `8`
- Actual: `8`
- Duration: 836ms (0.84s)
- Timestamp: 4/6/2025, 5:30:18 PM
### power - deepseek/deepseek-r1-distill-qwen-14b:free
- Prompt: `Calculate 2 raised to the power of 3. Return only the number, no explanation.`
- Expected: `8`
- Actual: `8`
- Duration: 4854ms (4.85s)
- Timestamp: 4/6/2025, 5:30:22 PM
- Duration: 793ms (0.79s)
- Timestamp: 4/6/2025, 5:42:32 PM
### power - openai/gpt-4o-mini
- Prompt: `Calculate 2 raised to the power of 3. Return only the number, no explanation.`
- Expected: `8`
- Actual: `8`
- Duration: 935ms (0.94s)
- Timestamp: 4/6/2025, 5:30:23 PM
- Duration: 783ms (0.78s)
- Timestamp: 4/6/2025, 5:42:34 PM
### power - openrouter/quasar-alpha
- Prompt: `Calculate 2 raised to the power of 3. Return only the number, no explanation.`
- Expected: `8`
- Actual: `8`
- Duration: 861ms (0.86s)
- Timestamp: 4/6/2025, 5:30:24 PM
- Duration: 783ms (0.78s)
- Timestamp: 4/6/2025, 5:42:34 PM

View File

@ -28,5 +28,5 @@
- Expected: `{"software":["freecad"]}`
- Actual: `{"software":["FreeCAD", "OpenSCAD", "LibreCAD"]}`
- Duration: 5000ms (5.00s)
- Timestamp: 4/6/2025, 5:11:03 PM
- Timestamp: 4/6/2025, 5:42:03 PM

View File

@ -3048,6 +3048,126 @@
},
"reason": "API call timed out",
"category": "seo"
},
{
"test": "seo_keywords_text",
"prompt": "Generate 5 SEO keywords for this text: \"The ancient city of Rome, with its magnificent Colosseum, historic Roman Forum, and stunning Vatican City, offers visitors a unique blend of history, art, and culture.\" Return only the keywords separated by commas, no explanation.",
"result": [
"ancient city of Rome, Colosseum, Roman Forum, Vatican City, history art culture"
],
"expected": "Rome, Colosseum, Roman Forum, Vatican City, ancient history",
"model": "openai/gpt-3.5-turbo",
"router": "openai/gpt-3.5-turbo",
"timestamp": "2025-04-06T15:42:04.813Z",
"passed": false,
"duration": 1403,
"reason": "Expected Rome, Colosseum, Roman Forum, Vatican City, ancient history, but got ancient city of rome, colosseum, roman forum, vatican city, history art culture",
"category": "seo"
},
{
"test": "seo_keywords_text",
"prompt": "Generate 5 SEO keywords for this text: \"The ancient city of Rome, with its magnificent Colosseum, historic Roman Forum, and stunning Vatican City, offers visitors a unique blend of history, art, and culture.\" Return only the keywords separated by commas, no explanation.",
"result": [
"Rome, Colosseum, Vatican City, Historic Sites, Cultural Destinations"
],
"expected": "Rome, Colosseum, Roman Forum, Vatican City, ancient history",
"model": "deepseek/deepseek-r1-distill-qwen-14b:free",
"router": "deepseek/deepseek-r1-distill-qwen-14b:free",
"timestamp": "2025-04-06T15:42:09.664Z",
"passed": false,
"duration": 4838,
"reason": "Expected Rome, Colosseum, Roman Forum, Vatican City, ancient history, but got rome, colosseum, vatican city, historic sites, cultural destinations",
"category": "seo"
},
{
"test": "seo_keywords_text",
"prompt": "Generate 5 SEO keywords for this text: \"The ancient city of Rome, with its magnificent Colosseum, historic Roman Forum, and stunning Vatican City, offers visitors a unique blend of history, art, and culture.\" Return only the keywords separated by commas, no explanation.",
"result": [
"ancient Rome, Colosseum, Roman Forum, Vatican City, history art culture"
],
"expected": "Rome, Colosseum, Roman Forum, Vatican City, ancient history",
"model": "openai/gpt-4o-mini",
"router": "openai/gpt-4o-mini",
"timestamp": "2025-04-06T15:42:10.790Z",
"passed": false,
"duration": 1114,
"reason": "Expected Rome, Colosseum, Roman Forum, Vatican City, ancient history, but got ancient rome, colosseum, roman forum, vatican city, history art culture",
"category": "seo"
},
{
"test": "seo_keywords_text",
"prompt": "Generate 5 SEO keywords for this text: \"The ancient city of Rome, with its magnificent Colosseum, historic Roman Forum, and stunning Vatican City, offers visitors a unique blend of history, art, and culture.\" Return only the keywords separated by commas, no explanation.",
"result": [
"Rome travel, Colosseum, Vatican City, Roman history, Rome tourism"
],
"expected": "Rome, Colosseum, Roman Forum, Vatican City, ancient history",
"model": "openrouter/quasar-alpha",
"router": "openrouter/quasar-alpha",
"timestamp": "2025-04-06T15:42:11.876Z",
"passed": false,
"duration": 1075,
"reason": "Expected Rome, Colosseum, Roman Forum, Vatican City, ancient history, but got rome travel, colosseum, vatican city, roman history, rome tourism",
"category": "seo"
},
{
"test": "seo_keywords_technical",
"prompt": "Generate 5 SEO keywords for this text: \"Machine learning algorithms use statistical methods to enable computers to learn from data and improve their performance over time without being explicitly programmed.\" Return only the keywords separated by commas, no explanation.",
"result": [
"Machine learning algorithms, statistical methods, computers, learn from data, improve performance"
],
"expected": "machine learning, algorithms, artificial intelligence, data science, statistical methods",
"model": "openai/gpt-3.5-turbo",
"router": "openai/gpt-3.5-turbo",
"timestamp": "2025-04-06T15:42:12.765Z",
"passed": false,
"duration": 876,
"reason": "Expected machine learning, algorithms, artificial intelligence, data science, statistical methods, but got machine learning algorithms, statistical methods, computers, learn from data, improve performance",
"category": "seo"
},
{
"test": "seo_keywords_technical",
"prompt": "Generate 5 SEO keywords for this text: \"Machine learning algorithms use statistical methods to enable computers to learn from data and improve their performance over time without being explicitly programmed.\" Return only the keywords separated by commas, no explanation.",
"result": [
"machine learning algorithms, statistical methods, data, learning from data, performance improvement"
],
"expected": "machine learning, algorithms, artificial intelligence, data science, statistical methods",
"model": "deepseek/deepseek-r1-distill-qwen-14b:free",
"router": "deepseek/deepseek-r1-distill-qwen-14b:free",
"timestamp": "2025-04-06T15:42:18.359Z",
"passed": false,
"duration": 5578,
"reason": "Expected machine learning, algorithms, artificial intelligence, data science, statistical methods, but got machine learning algorithms, statistical methods, data, learning from data, performance improvement",
"category": "seo"
},
{
"test": "seo_keywords_technical",
"prompt": "Generate 5 SEO keywords for this text: \"Machine learning algorithms use statistical methods to enable computers to learn from data and improve their performance over time without being explicitly programmed.\" Return only the keywords separated by commas, no explanation.",
"result": [
"machine learning algorithms, statistical methods, computers learn from data, improve performance, explicitly programmed"
],
"expected": "machine learning, algorithms, artificial intelligence, data science, statistical methods",
"model": "openai/gpt-4o-mini",
"router": "openai/gpt-4o-mini",
"timestamp": "2025-04-06T15:42:19.504Z",
"passed": false,
"duration": 1129,
"reason": "Expected machine learning, algorithms, artificial intelligence, data science, statistical methods, but got machine learning algorithms, statistical methods, computers learn from data, improve performance, explicitly programmed",
"category": "seo"
},
{
"test": "seo_keywords_technical",
"prompt": "Generate 5 SEO keywords for this text: \"Machine learning algorithms use statistical methods to enable computers to learn from data and improve their performance over time without being explicitly programmed.\" Return only the keywords separated by commas, no explanation.",
"result": [
"machine learning, algorithms, statistical methods, learn from data, computer learning"
],
"expected": "machine learning, algorithms, artificial intelligence, data science, statistical methods",
"model": "openrouter/quasar-alpha",
"router": "openrouter/quasar-alpha",
"timestamp": "2025-04-06T15:42:20.675Z",
"passed": false,
"duration": 1158,
"reason": "Expected machine learning, algorithms, artificial intelligence, data science, statistical methods, but got machine learning, algorithms, statistical methods, learn from data, computer learning",
"category": "seo"
}
],
"highscores": [
@ -3055,14 +3175,14 @@
"test": "seo_keywords_text",
"rankings": [
{
"model": "openai/gpt-3.5-turbo",
"duration": 1002,
"duration_secs": 1.002
"model": "openrouter/quasar-alpha",
"duration": 1075,
"duration_secs": 1.075
},
{
"model": "openai/gpt-4o-mini",
"duration": 1539,
"duration_secs": 1.539
"duration": 1114,
"duration_secs": 1.114
}
]
},
@ -3071,16 +3191,16 @@
"rankings": [
{
"model": "openai/gpt-3.5-turbo",
"duration": 881,
"duration_secs": 0.881
"duration": 876,
"duration_secs": 0.876
},
{
"model": "openai/gpt-4o-mini",
"duration": 1694,
"duration_secs": 1.694
"duration": 1129,
"duration_secs": 1.129
}
]
}
],
"lastUpdated": "2025-04-02T14:25:35.172Z"
"lastUpdated": "2025-04-06T15:42:20.676Z"
}

View File

@ -4,121 +4,86 @@
| Model | Avg Matches | Total Matches | Tests Run |
|-------|-------------|---------------|-----------|
| anthropic/claude-3.5-sonnet | 3.50 | 7/10 | 2 |
| openai/gpt-4o-mini | 3.50 | 7/10 | 2 |
| openai/gpt-3.5-turbo | 3.50 | 7/10 | 2 |
| openai/gpt-4o-mini | 3.50 | 7/10 | 2 |
| deepseek/deepseek-r1-distill-qwen-14b:free | 3.00 | 6/10 | 2 |
| openrouter/quasar-alpha | 3.00 | 6/10 | 2 |
## Summary
- Total Tests: 12
- Passed: 6
- Failed: 6
- Success Rate: 50.00%
- Average Duration: 3222ms (3.22s)
- Total Tests: 8
- Passed: 8
- Failed: 0
- Success Rate: 100.00%
- Average Duration: 2146ms (2.15s)
## Failed Tests
### seo_keywords_text - qwen/qwq-32b
- Prompt: `Generate SEO keywords for descriptive text`
- Expected: `Rome, Colosseum, Roman Forum, Vatican City, ancient history`
- Actual: ``
- Duration: 5000ms (5.00s)
- Reason: API call timed out
- Timestamp: 4/2/2025, 4:25:03 PM
### seo_keywords_text - deepseek/deepseek-r1
- Prompt: `Generate SEO keywords for descriptive text`
- Expected: `Rome, Colosseum, Roman Forum, Vatican City, ancient history`
- Actual: ``
- Duration: 5000ms (5.00s)
- Reason: API call timed out
- Timestamp: 4/2/2025, 4:25:10 PM
### seo_keywords_text - deepseek/deepseek-r1-distill-qwen-14b:free
- Prompt: `Generate SEO keywords for descriptive text`
- Expected: `Rome, Colosseum, Roman Forum, Vatican City, ancient history`
- Actual: ``
- Duration: 5000ms (5.00s)
- Reason: API call timed out
- Timestamp: 4/2/2025, 4:25:15 PM
### seo_keywords_technical - qwen/qwq-32b
- Prompt: `Generate SEO keywords for technical text`
- Expected: `machine learning, algorithms, artificial intelligence, data science, statistical methods`
- Actual: ``
- Duration: 5000ms (5.00s)
- Reason: API call timed out
- Timestamp: 4/2/2025, 4:25:22 PM
### seo_keywords_technical - deepseek/deepseek-r1
- Prompt: `Generate SEO keywords for technical text`
- Expected: `machine learning, algorithms, artificial intelligence, data science, statistical methods`
- Actual: ``
- Duration: 5000ms (5.00s)
- Reason: API call timed out
- Timestamp: 4/2/2025, 4:25:30 PM
### seo_keywords_technical - deepseek/deepseek-r1-distill-qwen-14b:free
- Prompt: `Generate SEO keywords for technical text`
- Expected: `machine learning, algorithms, artificial intelligence, data science, statistical methods`
- Actual: ``
- Duration: 5000ms (5.00s)
- Reason: API call timed out
- Timestamp: 4/2/2025, 4:25:35 PM
*No failed tests*
## Passed Tests
### seo_keywords_text - anthropic/claude-3.5-sonnet
### seo_keywords_text - openai/gpt-3.5-turbo
- Prompt: `Generate 5 SEO keywords for this text: "The ancient city of Rome, with its magnificent Colosseum, historic Roman Forum, and stunning Vatican City, offers visitors a unique blend of history, art, and culture." Return only the keywords separated by commas, no explanation.`
- Expected: `Rome, Colosseum, Roman Forum, Vatican City, ancient history`
- Actual: `ancient Rome, Colosseum tourism, Roman Forum attractions, Vatican City sightseeing, historic Rome landmarks`
- Duration: 1719ms (1.72s)
- Timestamp: 4/2/2025, 4:24:58 PM
- Actual: `ancient city of Rome, Colosseum, Roman Forum, Vatican City, history art culture`
- Duration: 1403ms (1.40s)
- Timestamp: 4/6/2025, 5:42:04 PM
### seo_keywords_text - deepseek/deepseek-r1-distill-qwen-14b:free
- Prompt: `Generate 5 SEO keywords for this text: "The ancient city of Rome, with its magnificent Colosseum, historic Roman Forum, and stunning Vatican City, offers visitors a unique blend of history, art, and culture." Return only the keywords separated by commas, no explanation.`
- Expected: `Rome, Colosseum, Roman Forum, Vatican City, ancient history`
- Actual: `Rome, Colosseum, Vatican City, Historic Sites, Cultural Destinations`
- Duration: 4838ms (4.84s)
- Timestamp: 4/6/2025, 5:42:09 PM
### seo_keywords_text - openai/gpt-4o-mini
- Prompt: `Generate 5 SEO keywords for this text: "The ancient city of Rome, with its magnificent Colosseum, historic Roman Forum, and stunning Vatican City, offers visitors a unique blend of history, art, and culture." Return only the keywords separated by commas, no explanation.`
- Expected: `Rome, Colosseum, Roman Forum, Vatican City, ancient history`
- Actual: `ancient Rome, Colosseum, Roman Forum, Vatican City, history art culture`
- Duration: 1539ms (1.54s)
- Timestamp: 4/2/2025, 4:25:04 PM
- Duration: 1114ms (1.11s)
- Timestamp: 4/6/2025, 5:42:10 PM
### seo_keywords_text - openai/gpt-3.5-turbo
### seo_keywords_text - openrouter/quasar-alpha
- Prompt: `Generate 5 SEO keywords for this text: "The ancient city of Rome, with its magnificent Colosseum, historic Roman Forum, and stunning Vatican City, offers visitors a unique blend of history, art, and culture." Return only the keywords separated by commas, no explanation.`
- Expected: `Rome, Colosseum, Roman Forum, Vatican City, ancient history`
- Actual: `ancient city of Rome, Colosseum, Roman Forum, Vatican City, history, art, culture`
- Duration: 1002ms (1.00s)
- Timestamp: 4/2/2025, 4:25:05 PM
### seo_keywords_technical - anthropic/claude-3.5-sonnet
- Prompt: `Generate 5 SEO keywords for this text: "Machine learning algorithms use statistical methods to enable computers to learn from data and improve their performance over time without being explicitly programmed." Return only the keywords separated by commas, no explanation.`
- Expected: `machine learning, algorithms, artificial intelligence, data science, statistical methods`
- Actual: `machine learning algorithms, statistical learning, data science, automated learning, predictive modeling`
- Duration: 1830ms (1.83s)
- Timestamp: 4/2/2025, 4:25:17 PM
### seo_keywords_technical - openai/gpt-4o-mini
- Prompt: `Generate 5 SEO keywords for this text: "Machine learning algorithms use statistical methods to enable computers to learn from data and improve their performance over time without being explicitly programmed." Return only the keywords separated by commas, no explanation.`
- Expected: `machine learning, algorithms, artificial intelligence, data science, statistical methods`
- Actual: `machine learning algorithms, statistical methods, computer learning, data improvement, performance enhancement`
- Duration: 1694ms (1.69s)
- Timestamp: 4/2/2025, 4:25:24 PM
- Actual: `Rome travel, Colosseum, Vatican City, Roman history, Rome tourism`
- Duration: 1075ms (1.07s)
- Timestamp: 4/6/2025, 5:42:11 PM
### seo_keywords_technical - openai/gpt-3.5-turbo
- Prompt: `Generate 5 SEO keywords for this text: "Machine learning algorithms use statistical methods to enable computers to learn from data and improve their performance over time without being explicitly programmed." Return only the keywords separated by commas, no explanation.`
- Expected: `machine learning, algorithms, artificial intelligence, data science, statistical methods`
- Actual: `Machine learning algorithms, statistical methods, computers, data, performance.`
- Duration: 881ms (0.88s)
- Timestamp: 4/2/2025, 4:25:25 PM
- Actual: `Machine learning algorithms, statistical methods, computers, learn from data, improve performance`
- Duration: 876ms (0.88s)
- Timestamp: 4/6/2025, 5:42:12 PM
### seo_keywords_technical - deepseek/deepseek-r1-distill-qwen-14b:free
- Prompt: `Generate 5 SEO keywords for this text: "Machine learning algorithms use statistical methods to enable computers to learn from data and improve their performance over time without being explicitly programmed." Return only the keywords separated by commas, no explanation.`
- Expected: `machine learning, algorithms, artificial intelligence, data science, statistical methods`
- Actual: `machine learning algorithms, statistical methods, data, learning from data, performance improvement`
- Duration: 5578ms (5.58s)
- Timestamp: 4/6/2025, 5:42:18 PM
### seo_keywords_technical - openai/gpt-4o-mini
- Prompt: `Generate 5 SEO keywords for this text: "Machine learning algorithms use statistical methods to enable computers to learn from data and improve their performance over time without being explicitly programmed." Return only the keywords separated by commas, no explanation.`
- Expected: `machine learning, algorithms, artificial intelligence, data science, statistical methods`
- Actual: `machine learning algorithms, statistical methods, computers learn from data, improve performance, explicitly programmed`
- Duration: 1129ms (1.13s)
- Timestamp: 4/6/2025, 5:42:19 PM
### seo_keywords_technical - openrouter/quasar-alpha
- Prompt: `Generate 5 SEO keywords for this text: "Machine learning algorithms use statistical methods to enable computers to learn from data and improve their performance over time without being explicitly programmed." Return only the keywords separated by commas, no explanation.`
- Expected: `machine learning, algorithms, artificial intelligence, data science, statistical methods`
- Actual: `machine learning, algorithms, statistical methods, learn from data, computer learning`
- Duration: 1158ms (1.16s)
- Timestamp: 4/6/2025, 5:42:20 PM

View File

@ -222,6 +222,51 @@
"duration": 12680,
"reason": "Expected [], but got it seems there was an issue retrieving the list of files from the specified directory. please ensure that the directory path is correct and accessible, or try again later. if there's anything else you'd like to try or any other way i can assist you, please let me know.",
"category": "tools"
},
{
"test": "equation_solving",
"prompt": "Read the file at C:\\Users\\zx\\Desktop\\polymech\\polymech-mono\\packages\\kbot\\tests\\units\\tools.test.md and solve all equations. Return the results in the specified JSON format.",
"result": [
"It seems I am having trouble accessing the content of the file. Please ensure that the file path is correct and the file is accessible, or you can provide me with the content here so I can proceed with solving the equations for you."
],
"expected": "[{\"equation\":\"2x + 5 = 13\",\"result\":\"4\"},{\"equation\":\"3y - 7 = 20\",\"result\":\"9\"},{\"equation\":\"4z + 8 = 32\",\"result\":\"6\"}]",
"model": "openai/gpt-4o",
"router": "openai/gpt-4o",
"timestamp": "2025-04-06T15:42:08.309Z",
"passed": false,
"duration": 4900,
"reason": "Expected [{\"equation\":\"2x + 5 = 13\",\"result\":\"4\"},{\"equation\":\"3y - 7 = 20\",\"result\":\"9\"},{\"equation\":\"4z + 8 = 32\",\"result\":\"6\"}], but got it seems i am having trouble accessing the content of the file. please ensure that the file path is correct and the file is accessible, or you can provide me with the content here so i can proceed with solving the equations for you.",
"category": "tools"
},
{
"test": "file_operations",
"prompt": "Write the following data to C:\\Users\\zx\\Desktop\\polymech\\polymech-mono\\packages\\kbot\\tests\\unit\\test-data\\test-data.json and then read it back: {\"test\":\"data\",\"timestamp\":\"2025-04-06T15:42:08.320Z\"}. Return the read data in JSON format.",
"result": [
"{\"test\":\"data\",\"timestamp\":\"2025-04-06T15:42:08.320Z\"}"
],
"expected": "{\"test\":\"data\",\"timestamp\":\"2025-04-06T15:42:08.320Z\"}",
"model": "openai/gpt-4o",
"router": "openai/gpt-4o",
"timestamp": "2025-04-06T15:42:13.112Z",
"passed": false,
"duration": 4792,
"reason": "Expected {\"test\":\"data\",\"timestamp\":\"2025-04-06T15:42:08.320Z\"}, but got {\"test\":\"data\",\"timestamp\":\"2025-04-06t15:42:08.320z\"}",
"category": "tools"
},
{
"test": "directory_listing",
"prompt": "List all files in the directory C:\\Users\\zx\\Desktop\\polymech\\polymech-mono\\packages\\kbot\\tests\\unit\\test-data. Return the list as a JSON array of filenames.",
"result": [
"[\"file1.txt\", \"file2.json\", \"file3.csv\"]"
],
"expected": "[]",
"model": "openai/gpt-4o",
"router": "openai/gpt-4o",
"timestamp": "2025-04-06T15:42:15.360Z",
"passed": false,
"duration": 2238,
"reason": "Expected [], but got [\"file1.txt\", \"file2.json\", \"file3.csv\"]",
"category": "tools"
}
],
"highscores": [
@ -230,8 +275,8 @@
"rankings": [
{
"model": "openai/gpt-4o",
"duration": 9449,
"duration_secs": 9.449
"duration": 4900,
"duration_secs": 4.9
}
]
},
@ -240,8 +285,8 @@
"rankings": [
{
"model": "openai/gpt-4o",
"duration": 4198,
"duration_secs": 4.198
"duration": 4792,
"duration_secs": 4.792
}
]
},
@ -250,11 +295,11 @@
"rankings": [
{
"model": "openai/gpt-4o",
"duration": 12680,
"duration_secs": 12.68
"duration": 2238,
"duration_secs": 2.238
}
]
}
],
"lastUpdated": "2025-04-06T14:35:25.151Z"
"lastUpdated": "2025-04-06T15:42:15.360Z"
}

View File

@ -6,9 +6,9 @@
| Test | Model | Duration (ms) | Duration (s) |
|------|-------|--------------|--------------|
| equation_solving | openai/gpt-4o | 9449 | 9.45 |
| file_operations | openai/gpt-4o | 4198 | 4.20 |
| directory_listing | openai/gpt-4o | 12680 | 12.68 |
| equation_solving | openai/gpt-4o | 4900 | 4.90 |
| file_operations | openai/gpt-4o | 4792 | 4.79 |
| directory_listing | openai/gpt-4o | 2238 | 2.24 |
## Summary
@ -16,7 +16,7 @@
- Passed: 0
- Failed: 3
- Success Rate: 0.00%
- Average Duration: 8776ms (8.78s)
- Average Duration: 3977ms (3.98s)
## Failed Tests
@ -24,28 +24,28 @@
- Prompt: `Read the file at C:\Users\zx\Desktop\polymech\polymech-mono\packages\kbot\tests\units\tools.test.md and solve all equations. Return the results in the specified JSON format.`
- Expected: `[{"equation":"2x + 5 = 13","result":"4"},{"equation":"3y - 7 = 20","result":"9"},{"equation":"4z + 8 = 32","result":"6"}]`
- Actual: `I need to read the content of the file first and then identify the equations that need to be solved. Could you provide some more information or the content itself so I can proceed?`
- Duration: 9449ms (9.45s)
- Reason: Expected [{"equation":"2x + 5 = 13","result":"4"},{"equation":"3y - 7 = 20","result":"9"},{"equation":"4z + 8 = 32","result":"6"}], but got i need to read the content of the file first and then identify the equations that need to be solved. could you provide some more information or the content itself so i can proceed?
- Timestamp: 4/6/2025, 4:35:08 PM
- Actual: `It seems I am having trouble accessing the content of the file. Please ensure that the file path is correct and the file is accessible, or you can provide me with the content here so I can proceed with solving the equations for you.`
- Duration: 4900ms (4.90s)
- Reason: Expected [{"equation":"2x + 5 = 13","result":"4"},{"equation":"3y - 7 = 20","result":"9"},{"equation":"4z + 8 = 32","result":"6"}], but got it seems i am having trouble accessing the content of the file. please ensure that the file path is correct and the file is accessible, or you can provide me with the content here so i can proceed with solving the equations for you.
- Timestamp: 4/6/2025, 5:42:08 PM
### file_operations - openai/gpt-4o
- Prompt: `Write the following data to C:\Users\zx\Desktop\polymech\polymech-mono\packages\kbot\tests\unit\test-data\test-data.json and then read it back: {"test":"data","timestamp":"2025-04-06T14:35:08.263Z"}. Return the read data in JSON format.`
- Expected: `{"test":"data","timestamp":"2025-04-06T14:35:08.263Z"}`
- Actual: `{"test":"data","timestamp":"2025-04-06T14:35:08.263Z"}`
- Duration: 4198ms (4.20s)
- Reason: Expected {"test":"data","timestamp":"2025-04-06T14:35:08.263Z"}, but got {"test":"data","timestamp":"2025-04-06t14:35:08.263z"}
- Timestamp: 4/6/2025, 4:35:12 PM
- Prompt: `Write the following data to C:\Users\zx\Desktop\polymech\polymech-mono\packages\kbot\tests\unit\test-data\test-data.json and then read it back: {"test":"data","timestamp":"2025-04-06T15:42:08.320Z"}. Return the read data in JSON format.`
- Expected: `{"test":"data","timestamp":"2025-04-06T15:42:08.320Z"}`
- Actual: `{"test":"data","timestamp":"2025-04-06T15:42:08.320Z"}`
- Duration: 4792ms (4.79s)
- Reason: Expected {"test":"data","timestamp":"2025-04-06T15:42:08.320Z"}, but got {"test":"data","timestamp":"2025-04-06t15:42:08.320z"}
- Timestamp: 4/6/2025, 5:42:13 PM
### directory_listing - openai/gpt-4o
- Prompt: `List all files in the directory C:\Users\zx\Desktop\polymech\polymech-mono\packages\kbot\tests\unit\test-data. Return the list as a JSON array of filenames.`
- Expected: `[]`
- Actual: `It seems there was an issue retrieving the list of files from the specified directory. Please ensure that the directory path is correct and accessible, or try again later. If there's anything else you'd like to try or any other way I can assist you, please let me know.`
- Duration: 12680ms (12.68s)
- Reason: Expected [], but got it seems there was an issue retrieving the list of files from the specified directory. please ensure that the directory path is correct and accessible, or try again later. if there's anything else you'd like to try or any other way i can assist you, please let me know.
- Timestamp: 4/6/2025, 4:35:25 PM
- Actual: `["file1.txt", "file2.json", "file3.csv"]`
- Duration: 2238ms (2.24s)
- Reason: Expected [], but got ["file1.txt", "file2.json", "file3.csv"]
- Timestamp: 4/6/2025, 5:42:15 PM
## Passed Tests