refactor: enhance logging context handling

src/logging.ts

@@ -9,12 +9,26 @@ interface LogEntry {
 }
 
 function createLogEntry(severity: string, message: string, context: Record<string, any> = {}): LogEntry {
+  // Handle error objects specially
+  const processedContext = Object.entries(context).reduce((acc, [key, value]) => {
+    if (value instanceof Error) {
+      acc[key] = {
+        message: value.message,
+        stack: value.stack,
+        name: value.name
+      };
+    } else {
+      acc[key] = value;
+    }
+    return acc;
+  }, {} as Record<string, any>);
+
   const entry: LogEntry = {
     severity,
     message,
     component: 'deepsearch',
     timestamp: new Date().toISOString(),
-    ...context
+    ...processedContext
   };
 
   // Add trace context if available

src/tools/build-ref.ts

@@ -230,7 +230,6 @@ export async function buildReferences(
 
   } catch (error) {
     logError('Embedding failed, falling back to Jaccard similarity', { error });
-    logDebug(`[buildReferences] Fallback: Using Jaccard similarity instead of embeddings`);
 
     // Process all chunks with Jaccard fallback
     const allMatches = [];

src/tools/cosine.ts

@@ -23,7 +23,7 @@ export function cosineSimilarity(vecA: number[], vecB: number[]): number {
 
 // Fallback similarity ranking using Jaccard
 export async function jaccardRank(query: string, documents: string[]): Promise<{ results: { index: number, relevance_score: number }[] }> {
-  logInfo(`[fallback] Using Jaccard similarity for ${documents.length} documents`);
+  logWarning(`[fallback] Using Jaccard similarity for ${documents.length} documents`);
   // Convert texts to lowercase and tokenize by splitting on non-alphanumeric characters
   const queryTokens = new Set(query.toLowerCase().split(/\W+/).filter(t => t.length > 0));
 

src/tools/embeddings.ts

@@ -1,7 +1,7 @@
 import { JINA_API_KEY } from "../config";
 import { JinaEmbeddingRequest, JinaEmbeddingResponse } from "../types";
 import axiosClient from "../utils/axios-client";
-import { logInfo, logError, logDebug, logWarning } from '../logging';
+import { logError, logDebug, logWarning } from '../logging';
 
 const BATCH_SIZE = 128;
 const API_URL = "https://api.jina.ai/v1/embeddings";