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chore: import upstream snapshot with attribution
2026-07-13 13:24:08 +08:00

135 lines
3.0 KiB
JavaScript

import fs from 'node:fs';
import promptfoo from 'promptfoo';
const prompts = [
// Prompts can be raw text...
'Write a haiku about: {{body}}',
// Or message arrays...
[
{
role: 'system',
content: 'You are speaking to a time traveler. Begin your conversation.',
},
{
role: 'user',
content: '{{body}}',
},
],
// Or files
'file://prompt.txt',
// Or functions
(vars) => {
const genres = ['fantasy', 'sci-fi', 'mystery', 'horror'];
const characters = {
fantasy: 'wizard',
'sci-fi': 'alien',
mystery: 'detective',
horror: 'ghost',
};
const genre = genres[Math.floor(Math.random() * genres.length)];
const character = characters[genre];
return [
{
role: 'system',
content: `You have encountered a ${character} in a ${genre} setting. Engage with the character using the knowledge typical for that genre.`,
},
{
role: 'user',
content: '{{body}}',
},
];
},
];
const customFunction = (prompt, context) => {
// Call an LLM API in this function, or any other logic.
console.log(`Prompt: ${prompt}, vars: ${JSON.stringify(context.vars)}`);
return {
output: '<LLM output>',
};
};
customFunction.label = 'My custom function';
const providers = [
// Call the OpenAI API GPT 4o Mini
'openai:gpt-4.1-mini',
// Or use a custom function.
customFunction,
];
const tests = [
{
vars: {
body: 'Hello world',
},
},
{
vars: {
body: "I'm hungry",
},
assert: [
{
type: 'javascript',
value: (output) => {
// Logic for checking LLM output goes here...
const pass = output.includes('foo bar');
return {
pass,
score: pass ? 1.0 : 0.0,
reason: pass ? 'Output contained substring' : 'Output did not contain substring',
};
},
},
],
},
{
vars: {
body: 'Tell me a joke',
},
options: {
// Transform functions can be passed directly when using the node package.
transform: (output) => output.toLowerCase(),
},
assert: [
{
type: 'contains',
value: 'joke',
// Per-assertion transforms also accept functions.
transform: (output) => output.trim(),
},
],
},
];
(async () => {
const evalRecord = await promptfoo.evaluate({
prompts,
providers,
tests,
// Persist results locally so they are visible in the promptfoo viewer
writeLatestResults: true,
// Uncomment to enable sharing (requires cloud account or self-hosted server)
// sharing: true,
});
const results = await evalRecord.toEvaluateSummary();
console.log('RESULTS:');
const resultsString = JSON.stringify(results, null, 2);
console.log(resultsString);
// Display shareable URL if available
if (results.shareableUrl) {
console.log('\nView results online:', results.shareableUrl);
}
fs.writeFileSync('output.json', resultsString);
console.log('Wrote output.json');
})();