Suggestion for a different approach to this project about promptfoo HOT 5 CLOSED

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 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 providers = [
  // Call the OpenAI API GPT 3.5
  'openai:gpt-3.5-turbo',

  // Or use a custom function. Call an LLM API in this function, or any other logic.
  (prompt, context) => {
    console.log(`Prompt: ${prompt}, vars: ${JSON.stringify(context.vars)}`);
    return {
      output: '<LLM output>',
    };
  },
];

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',
        };
      },
    }, ],
  },
];

(async () => {
  const results = await promptfoo.evaluate({ prompts, providers, tests });
  console.log(JSON.stringify(results, null, 2));
})();