refactoring and clean up

packages/shared/src/config/constants.js

@@ -17,15 +17,64 @@ const EPISODIC = {
     DEFAULT_RECENT_LIMIT:   10,   // Default number of recent episodes to retrieve
     DEFAULT_PAGE_SIZE:      20,   // Default number of episodes per page for pagination
     DEFAULT_SEARCH_LIMIT:   10,   // Default number of search results to return
+    DEFAULT_OFFSET:         0,
+    DEFAULT_SESSIONS_LIMIT: 20,
+};
+
+const ORCHESTRATION = {
+    RECENT_EPISODE_LIMIT:   5,
+    SEMANTIC_LIMIT:         5,
+    SCORE_THRESHOLD:        0.75,
+    CORS_ORIGIN:            'http://localhost:5173',
+    SYSTEM_PROMPT:          `You are a helpful, context-aware AI assistant. You have access to memories of past conversations with the user. Use them to provide consistent, personalised responses.`
+}
+
+const OLLAMA = {
+    DEFAULT_URL:   'http://localhost:11434',
+    EMBED_MODEL:   'nomic-embed-text',
+    OLLAMA_MODEL:  'companion:latest',
+};
+
+const LLAMACPP = {
+    DEFAULT_URL:    'http://localhost:8080',
+    DEFAULT_MODEL:  'local-model',
+}
+
+const PORTS = {
+    INFERENCE:      '3001',
+    MEMORY:         '3002',
+    EMBEDDING:      '3003',
+    ORCHESTRATION:  '4000',
 };
 
 const SERVICES = {
-    EMBEDDING_URL: 'http://localhost:3003'
+    EMBEDDING_URL:  `http://localhost:${PORTS.EMBEDDING}`,
+    MEMORY_URL:     `http://localhost:${PORTS.MEMORY}`,
+    INFERENCE_URL:  `http://localhost:${PORTS.INFERENCE}`,
 };
 
+const INFERENCE_DEFAULTS = {
+    TEMPERATURE:    0.7,    // Controls randomness. 0 = deterministic, 1 = creative
+    MAX_TOKENS:     1024,   // Max tokens to generate in a response
+    TOP_P:          0.9,    // Nucleus sampling — considers tokens comprising top 90% probability mass
+    TOP_K:          40,     // Limits token selection to top K candidates at each step
+    REPEAT_PENALTY: 1.1,    // Penalizes recently used tokens to reduce repetition
+    SEED:           null,   // null = random. Set to an integer for reproducible outputs
+};
+
+const SQLITE = {
+    DEFAULT_PATH: './data/nexusai.db'
+}
+
 module.exports = {
     QDRANT,
     COLLECTIONS,
     EPISODIC,
-    SERVICES
+    SERVICES,
+    OLLAMA,
+    PORTS,
+    LLAMACPP,
+    INFERENCE_DEFAULTS,
+    SQLITE,
+    ORCHESTRATION
 };