summaries chat client

packages/memory-service/src/entities/extraction.js

@@ -7,6 +7,7 @@ const EXTRACTION_MODEL = getEnv('EXTRACTION_MODEL', 'qwen2.5:3b');
 const EMBEDDING_SERVICE_URL = getEnv('EMBEDDING_SERVICE_URL', SERVICES.EMBEDDING_URL);
 
 const ENTITY_TYPES = ['person', 'place', 'project', 'technology', 'concept', 'organization'];
+const IGNORED_NAMES = ['good morning', 'good night', 'hello', 'goodbye', 'thanks', 'thank you'];
 
 function buildExtractionPrompt(userMessage, aiResponse, knownEntities = []) {
     const knownBlock = knownEntities.length > 0
@@ -101,8 +102,12 @@ async function extractAndStoreEntities(userMessage, aiResponse, projectId=null)
         if (!Array.isArray(entities)) throw new Error('Response was not a JSON array');
 
         let saved = 0;
+        
+
         for (const { name, type, notes } of entities) {
+            
             if (!name || !type || !ENTITY_TYPES.includes(type)) continue;
+            if (IGNORED_NAMES.includes(name.toLowerCase())) continue;
 
             const entity = upsertEntity(name, type, notes ?? null);
             console.log('[entities] Upserted entity:', entity);