debugging: library versions and add a traceback for pinecone

requirements.txt

@@ -43,12 +43,12 @@ langchain>=0.3.0,<0.4.0
 langchain-community>=0.3.0,<0.4.0
 langchain-core>=0.3.80,<0.4.0
 langchain-openai>=0.3.0,<0.4.0
-langchain-pinecone>=0.2.0,<0.3.0
+langchain-pinecone==0.2.13
 langchain-text-splitters>=0.3.0,<0.4.0
 langchain-mcp-adapters>=0.1.14,<0.2.0
 langgraph>=0.2.0,<0.3.0
-openai>=2.0.0,<3.0.0
-pinecone-client>=6.0.0
+openai>=2.0.0
+pinecone-client==6.0.0
 tiktoken>=0.10.0,<1.0.0
 mcp>=1.0.0
 

src/retrievers/pinecone.py

@@ -1,4 +1,5 @@
 import os
+import traceback
 from pinecone import Pinecone, ServerlessSpec
 from langchain_pinecone import PineconeVectorStore
 from src.config.settings import Config
@@ -43,6 +44,46 @@ class PineconeManager:
 
         self.index = self.pc.Index(self.index_name)
         self.embeddings = get_embedding_model()
+        
+        # Run startup diagnostics
+        self.run_diagnostics()
+
+    def run_diagnostics(self):
+        """Run connectivity and functionality tests."""
+        print("\n🔍 Running Pinecone & Embedding Diagnostics...")
+        
+        # Test 1: Data Plane
+        try:
+            print(f"Testing connection to index '{self.index_name}'...")
+            stats = self.index.describe_index_stats()
+            print(f"✅ Data Plane Verified. Total vectors: {stats.total_vector_count}")
+        except Exception as e:
+            print(f"❌ Data Plane Failed: {e}")
+            traceback.print_exc()
+
+        # Test 2: Embedding Model
+        try:
+            print("🧪 Testing Embedding Model (OpenAI)...")
+            # Simple test query
+            emb = self.embeddings.embed_query("test connectivity")
+            print(f"✅ Embedding Model Verified. Dimension: {len(emb)}")
+        except Exception as e:
+            print(f"❌ Embedding Model Failed: {e}")
+            traceback.print_exc()
+            
+        # Test 3: VectorStore Integration
+        try:
+             print("🔗 Testing LangChain Integration...")
+             # Just initialize to check imports and config
+             PineconeVectorStore(
+                 index_name=self.index_name, 
+                 embedding=self.embeddings, 
+                 pinecone_api_key=self.api_key
+             )
+             print("✅ LangChain Integration Verified (Initialization)")
+        except Exception as e:
+             print(f"❌ LangChain Integration Failed: {e}")
+             traceback.print_exc()
 
     def upsert_documents(self, documents, namespace=None):
         """

src/tools/general.py

@@ -12,6 +12,7 @@ from typing import List, Dict, Any, Optional
 from datetime import datetime
 import uuid
 import requests
+import traceback
 from langchain.tools import tool
 from langchain_core.documents import Document
 
@@ -101,6 +102,7 @@ def search_meetings(query: str, max_results: int = 5, meeting_id: Optional[str]
         return "".join(result_parts)
         
     except Exception as e:
+        traceback.print_exc()
         return f"Error searching meetings: {str(e)}"
 
 
@@ -158,6 +160,7 @@ def get_meeting_metadata(meeting_id: str) -> str:
         return "\n".join(result_parts)
         
     except Exception as e:
+        traceback.print_exc()
         return f"Error retrieving meeting metadata: {str(e)}"
 
 
@@ -228,6 +231,7 @@ def list_recent_meetings(limit: int = 10) -> str:
         return "\n".join(result_parts)
         
     except Exception as e:
+        traceback.print_exc()
         return f"Error listing meetings: {str(e)}"
 
 
@@ -409,6 +413,7 @@ def import_notion_to_pinecone(query: str) -> str:
         return upsert_text_to_pinecone.invoke({"text": full_content, "title": title, "source": "Notion"})
 
     except Exception as e:
+        traceback.print_exc()
         return f"❌ Import failed: {str(e)}"
 
 
@@ -491,6 +496,7 @@ def create_notion_page(title: str, content: str) -> str:
             return f"❌ Failed to create Notion page: {resp.status_code} - {resp.text}"
             
     except Exception as e:
+        traceback.print_exc()
         return f"❌ Error creating page: {str(e)}"
 
 
@@ -573,4 +579,5 @@ def upsert_text_to_pinecone(text: str, title: str, source: str = "Manual Entry",
                 f"   - Extracted Speakers: {', '.join(speaker_mapping.values()) if speaker_mapping else 'None'}")
         
     except Exception as e:
+        traceback.print_exc()
         return f"❌ Error saving to Pinecone: {str(e)}"