54 lines
1.9 KiB
JavaScript
54 lines
1.9 KiB
JavaScript
const fs = require('fs');
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const path = require('path');
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const { LLM } = require('@themaximalist/llm.js'); // or wherever your LLM package lives
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// read optional config file
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const configPath = path.join(__dirname, '..', 'llm_config.json');
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const llmOptions = fs.existsSync(configPath)
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? JSON.parse(fs.readFileSync(configPath, 'utf8'))
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: {};
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class LLMBot {
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constructor() {
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// One instance keeps the whole conversation in memory
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this.llm = new LLM(llmOptions);
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// Prompt fragments we’ll reuse
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this.writePrompt =
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`You are playing a collaborative storytelling game.
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Continue the following story with exactly ONE short, creative sentence.
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Do NOT repeat what’s already written.`;
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this.votePrompt =
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`You are playing a collaborative storytelling game.
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Below is the story so far, followed by a list of possible next sentences.
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Reply with ONLY the number (0-indexed) of the sentence you like best.`;
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this.banterPrompt =
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`You are a playful, slightly sarcastic AI taking part in a writing-game chat.
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Keep it short, fun, and on-topic.`;
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}
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async Write(story_so_far) {
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const msg = `${this.writePrompt}\n\nStory so far:\n${story_so_far}`;
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const llm_response = await this.llm.chat(msg);
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console.log(`Received response from LLM: ${llm_response}`)
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return llm_response.trim();
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}
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async Vote(story_so_far, choices) {
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const choicesBlock = choices.map((c, i) => `${i}: ${c}`).join('\n');
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const msg = `${this.votePrompt}\n\nStory:\n${story_so_far}\n\nChoices:\n${choicesBlock}`;
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const reply = (await this.llm.chat(msg)).trim();
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// extract first digit found, fallback to 0
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const match = reply.match(/\d+/);
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return match ? parseInt(match[0], 10) : 0;
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}
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async Banter(chat_so_far) {
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const msg = `${this.banterPrompt}\n\nChat so far:\n${chat_so_far}`;
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return (await this.llm.chat(msg)).trim();
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}
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}
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module.exports = LLMBot; |