import { readFileSync, mkdirSync, writeFileSync} from 'fs'; import { Examples } from '../utils/examples.js'; import { getCommandDocs } from './commands/index.js'; // import { getSkillDocs } from './library/index.js'; import { stringifyTurns } from '../utils/text.js'; import { getCommand } from './commands/index.js'; import settings from '../../settings.js'; import { Gemini } from '../models/gemini.js'; import { GPT } from '../models/gpt.js'; import { Claude } from '../models/claude.js'; import { ReplicateAPI } from '../models/replicate.js'; import { Local } from '../models/local.js'; import { Novita } from '../models/novita.js'; import { GroqCloudAPI } from '../models/groq.js'; import { HuggingFace } from '../models/huggingface.js'; import { Qwen } from "../models/qwen.js"; import { Grok } from "../models/grok.js"; // import {cosineSimilarity} from "../utils/math.js"; import {SkillLibrary} from "./library/skill_library.js"; import { DeepSeek } from '../models/deepseek.js'; export class Prompter { constructor(agent, fp) { this.agent = agent; this.profile = JSON.parse(readFileSync(fp, 'utf8')); this.default_profile = JSON.parse(readFileSync('./profiles/_default.json', 'utf8')); for (let key in this.default_profile) { if (this.profile[key] === undefined) this.profile[key] = this.default_profile[key]; } this.convo_examples = null; this.coding_examples = null; let name = this.profile.name; let chat = this.profile.model; this.cooldown = this.profile.cooldown ? this.profile.cooldown : 0; this.last_prompt_time = 0; this.awaiting_coding = false; // try to get "max_tokens" parameter, else null let max_tokens = null; if (this.profile.max_tokens) max_tokens = this.profile.max_tokens; if (typeof chat === 'string' || chat instanceof String) { chat = {model: chat}; if (chat.model.includes('gemini')) chat.api = 'google'; else if (chat.model.includes('gpt') || chat.model.includes('o1')) chat.api = 'openai'; else if (chat.model.includes('claude')) chat.api = 'anthropic'; else if (chat.model.includes('huggingface/')) chat.api = "huggingface"; else if (chat.model.includes('meta/') || chat.model.includes('mistralai/') || chat.model.includes('replicate/')) chat.api = 'replicate'; else if (chat.model.includes("groq/") || chat.model.includes("groqcloud/")) chat.api = 'groq'; else if (chat.model.includes('novita/')) chat.api = 'novita'; else if (chat.model.includes('qwen')) chat.api = 'qwen'; else if (chat.model.includes('grok')) chat.api = 'xai'; else if (chat.model.includes('deepseek')) chat.api = 'deepseek'; else chat.api = 'ollama'; } console.log('Using chat settings:', chat); if (chat.api === 'google') this.chat_model = new Gemini(chat.model, chat.url); else if (chat.api === 'openai') this.chat_model = new GPT(chat.model, chat.url); else if (chat.api === 'anthropic') this.chat_model = new Claude(chat.model, chat.url); else if (chat.api === 'replicate') this.chat_model = new ReplicateAPI(chat.model, chat.url); else if (chat.api === 'ollama') this.chat_model = new Local(chat.model, chat.url); else if (chat.api === 'groq') { this.chat_model = new GroqCloudAPI(chat.model.replace('groq/', '').replace('groqcloud/', ''), chat.url, max_tokens ? max_tokens : 8192); } else if (chat.api === 'huggingface') this.chat_model = new HuggingFace(chat.model, chat.url); else if (chat.api === 'novita') this.chat_model = new Novita(chat.model.replace('novita/', ''), chat.url); else if (chat.api === 'qwen') this.chat_model = new Qwen(chat.model, chat.url); else if (chat.api === 'xai') this.chat_model = new Grok(chat.model, chat.url); else if (chat.api === 'deepseek') this.chat_model = new DeepSeek(chat.model, chat.url); else throw new Error('Unknown API:', api); let embedding = this.profile.embedding; if (embedding === undefined) { if (chat.api !== 'ollama') embedding = {api: chat.api}; else embedding = {api: 'none'}; } else if (typeof embedding === 'string' || embedding instanceof String) embedding = {api: embedding}; console.log('Using embedding settings:', embedding); try { if (embedding.api === 'google') this.embedding_model = new Gemini(embedding.model, embedding.url); else if (embedding.api === 'openai') this.embedding_model = new GPT(embedding.model, embedding.url); else if (embedding.api === 'replicate') this.embedding_model = new ReplicateAPI(embedding.model, embedding.url); else if (embedding.api === 'ollama') this.embedding_model = new Local(embedding.model, embedding.url); else if (embedding.api === 'qwen') this.embedding_model = new Qwen(embedding.model, embedding.url); else { this.embedding_model = null; console.log('Unknown embedding: ', embedding ? embedding.api : '[NOT SPECIFIED]', '. Using word overlap.'); } } catch (err) { console.log('Warning: Failed to initialize embedding model:', err.message); console.log('Continuing anyway, using word overlap instead.'); this.embedding_model = null; } this.skill_libary = new SkillLibrary(agent, this.embedding_model); mkdirSync(`./bots/${name}`, { recursive: true }); writeFileSync(`./bots/${name}/last_profile.json`, JSON.stringify(this.profile, null, 4), (err) => { if (err) { throw new Error('Failed to save profile:', err); } console.log("Copy profile saved."); }); } getName() { return this.profile.name; } getInitModes() { return this.profile.modes; } async initExamples() { try { this.convo_examples = new Examples(this.embedding_model); this.coding_examples = new Examples(this.embedding_model); // Wait for both examples to load before proceeding await Promise.all([ this.convo_examples.load(this.profile.conversation_examples), this.coding_examples.load(this.profile.coding_examples), this.skill_libary.initSkillLibrary() ]); console.log('Examples initialized.'); } catch (error) { console.error('Failed to initialize examples:', error); throw error; } } async replaceStrings(prompt, messages, examples=null, to_summarize=[], last_goals=null) { prompt = prompt.replaceAll('$NAME', this.agent.name); if (prompt.includes('$STATS')) { let stats = await getCommand('!stats').perform(this.agent); prompt = prompt.replaceAll('$STATS', stats); } if (prompt.includes('$INVENTORY')) { let inventory = await getCommand('!inventory').perform(this.agent); prompt = prompt.replaceAll('$INVENTORY', inventory); } if (prompt.includes('$ACTION')) { prompt = prompt.replaceAll('$ACTION', this.agent.actions.currentActionLabel); } if (prompt.includes('$COMMAND_DOCS')) prompt = prompt.replaceAll('$COMMAND_DOCS', getCommandDocs(this.agent.blocked_actions)); if (prompt.includes('$CODE_DOCS')) { const code_task_content = messages.slice().reverse().find(msg => msg.role !== 'system' && msg.content.includes('!newAction(') )?.content?.match(/!newAction\((.*?)\)/)?.[1] || ''; prompt = prompt.replaceAll( '$CODE_DOCS', await this.skill_libary.getRelevantSkillDocs(code_task_content, settings.relevant_docs_count) ); } if (prompt.includes('$EXAMPLES') && examples !== null) prompt = prompt.replaceAll('$EXAMPLES', await examples.createExampleMessage(messages)); if (prompt.includes('$MEMORY')) prompt = prompt.replaceAll('$MEMORY', this.agent.history.memory); if (prompt.includes('$TO_SUMMARIZE')) prompt = prompt.replaceAll('$TO_SUMMARIZE', stringifyTurns(to_summarize)); if (prompt.includes('$CONVO')) prompt = prompt.replaceAll('$CONVO', 'Recent conversation:\n' + stringifyTurns(messages)); if (prompt.includes('$SELF_PROMPT')) { let self_prompt = this.agent.self_prompter.on ? `YOUR CURRENT ASSIGNED GOAL: "${this.agent.self_prompter.prompt}"\n` : ''; prompt = prompt.replaceAll('$SELF_PROMPT', self_prompt); } if (prompt.includes('$LAST_GOALS')) { let goal_text = ''; for (let goal in last_goals) { if (last_goals[goal]) goal_text += `You recently successfully completed the goal ${goal}.\n` else goal_text += `You recently failed to complete the goal ${goal}.\n` } prompt = prompt.replaceAll('$LAST_GOALS', goal_text.trim()); } if (prompt.includes('$BLUEPRINTS')) { if (this.agent.npc.constructions) { let blueprints = ''; for (let blueprint in this.agent.npc.constructions) { blueprints += blueprint + ', '; } prompt = prompt.replaceAll('$BLUEPRINTS', blueprints.slice(0, -2)); } } // check if there are any remaining placeholders with syntax $ let remaining = prompt.match(/\$[A-Z_]+/g); if (remaining !== null) { console.warn('Unknown prompt placeholders:', remaining.join(', ')); } return prompt; } async checkCooldown() { let elapsed = Date.now() - this.last_prompt_time; if (elapsed < this.cooldown && this.cooldown > 0) { await new Promise(r => setTimeout(r, this.cooldown - elapsed)); } this.last_prompt_time = Date.now(); } async promptConvo(messages) { this.most_recent_msg_time = Date.now(); let current_msg_time = this.most_recent_msg_time; for (let i = 0; i < 3; i++) { // try 3 times to avoid hallucinations await this.checkCooldown(); if (current_msg_time !== this.most_recent_msg_time) { return ''; } let prompt = this.profile.conversing; prompt = await this.replaceStrings(prompt, messages, this.convo_examples); let generation = await this.chat_model.sendRequest(messages, prompt); // in conversations >2 players LLMs tend to hallucinate and role-play as other bots // the FROM OTHER BOT tag should never be generated by the LLM if (generation.includes('(FROM OTHER BOT)')) { console.warn('LLM hallucinated message as another bot. Trying again...'); continue; } if (current_msg_time !== this.most_recent_msg_time) { console.warn(this.agent.name + ' recieved new message while generating, discarding old response.'); return ''; } return generation; } return ''; } async promptCoding(messages) { if (this.awaiting_coding) { console.warn('Already awaiting coding response, returning no response.'); return '```//no response```'; } this.awaiting_coding = true; await this.checkCooldown(); let prompt = this.profile.coding; prompt = await this.replaceStrings(prompt, messages, this.coding_examples); let resp = await this.chat_model.sendRequest(messages, prompt); this.awaiting_coding = false; return resp; } async promptMemSaving(to_summarize) { await this.checkCooldown(); let prompt = this.profile.saving_memory; prompt = await this.replaceStrings(prompt, null, null, to_summarize); return await this.chat_model.sendRequest([], prompt); } async promptShouldRespondToBot(new_message) { await this.checkCooldown(); let prompt = this.profile.bot_responder; let messages = this.agent.history.getHistory(); messages.push({role: 'user', content: new_message}); prompt = await this.replaceStrings(prompt, null, null, messages); let res = await this.chat_model.sendRequest([], prompt); return res.trim().toLowerCase() === 'respond'; } async promptGoalSetting(messages, last_goals) { let system_message = this.profile.goal_setting; system_message = await this.replaceStrings(system_message, messages); let user_message = 'Use the below info to determine what goal to target next\n\n'; user_message += '$LAST_GOALS\n$STATS\n$INVENTORY\n$CONVO' user_message = await this.replaceStrings(user_message, messages, null, null, last_goals); let user_messages = [{role: 'user', content: user_message}]; let res = await this.chat_model.sendRequest(user_messages, system_message); let goal = null; try { let data = res.split('```')[1].replace('json', '').trim(); goal = JSON.parse(data); } catch (err) { console.log('Failed to parse goal:', res, err); } if (!goal || !goal.name || !goal.quantity || isNaN(parseInt(goal.quantity))) { console.log('Failed to set goal:', res); return null; } goal.quantity = parseInt(goal.quantity); return goal; } }