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seraph-agent

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An extremely lightweight, SRE autonomous AI agent for seamless integration with common observability tasks.

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"use strict"; var __createBinding = (this && this.__createBinding) || (Object.create ? (function(o, m, k, k2) { if (k2 === undefined) k2 = k; var desc = Object.getOwnPropertyDescriptor(m, k); if (!desc || ("get" in desc ? !m.__esModule : desc.writable || desc.configurable)) { desc = { enumerable: true, get: function() { return m[k]; } }; } Object.defineProperty(o, k2, desc); }) : (function(o, m, k, k2) { if (k2 === undefined) k2 = k; o[k2] = m[k]; })); var __setModuleDefault = (this && this.__setModuleDefault) || (Object.create ? (function(o, v) { Object.defineProperty(o, "default", { enumerable: true, value: v }); }) : function(o, v) { o["default"] = v; }); var __importStar = (this && this.__importStar) || (function () { var ownKeys = function(o) { ownKeys = Object.getOwnPropertyNames || function (o) { var ar = []; for (var k in o) if (Object.prototype.hasOwnProperty.call(o, k)) ar[ar.length] = k; return ar; }; return ownKeys(o); }; return function (mod) { if (mod && mod.__esModule) return mod; var result = {}; if (mod != null) for (var k = ownKeys(mod), i = 0; i < k.length; i++) if (k[i] !== "default") __createBinding(result, mod, k[i]); __setModuleDefault(result, mod); return result; }; })(); Object.defineProperty(exports, "__esModule", { value: true }); exports.KnowledgeManager = void 0; const cron = __importStar(require("node-cron")); const faiss_1 = require("@langchain/community/vectorstores/faiss"); const knowledge_1 = require("./knowledge"); const fs = __importStar(require("fs/promises")); const embedding_provider_1 = require("./llm/embedding-provider"); class KnowledgeManager { config; vectorStore; constructor(config) { this.config = config; } async start() { if (!this.config.knowledge?.enabled) { return; } await this.loadVectorStore(); if (this.config.knowledge.schedule) { cron.schedule(this.config.knowledge.schedule, () => { this.build(); }); } } async build(sourceName) { await (0, knowledge_1.buildKnowledgeBase)(this.config, sourceName); await this.loadVectorStore(); } async search(query, k = 4) { if (!this.vectorStore) { return null; } const results = await this.vectorStore.similaritySearch(query, k); return results; } async loadVectorStore() { if (!this.config.knowledge) { return; } try { await fs.access(this.config.knowledge.vectorStore); const embeddings = (0, embedding_provider_1.createEmbeddingProvider)(this.config); this.vectorStore = await faiss_1.FaissStore.load(this.config.knowledge.vectorStore, embeddings); console.log('Knowledge base loaded.'); } catch (error) { console.log('No existing knowledge base found. Building a new one...'); await this.build(); } } } exports.KnowledgeManager = KnowledgeManager;