Update app.py

app.py

@@ -1,5 +1,5 @@
 # ------------------------------
-# Enhanced NeuroResearch AI System with Refinement Counter
+# Enhanced NeuroResearch AI System with Refinement Counter and Increased Recursion Limit
 # ------------------------------
 import logging
 import os
@@ -9,7 +9,6 @@ import json
 import time
 import sys
 from datetime import datetime
-import chromadb
 from concurrent.futures import ThreadPoolExecutor, as_completed
 from typing import List, Dict, Any, Optional, Sequence
 
@@ -27,7 +26,7 @@ from langgraph.graph.message import add_messages
 from typing_extensions import TypedDict, Annotated
 from langchain.tools.retriever import create_retriever_tool
 
-# Optionally increase the recursion limit if needed
+# Increase Python's recursion limit at the very start (if needed)
 sys.setrecursionlimit(10000)
 
 # ------------------------------
@@ -368,7 +367,6 @@ class ResearchWorkflow:
         current_count = state["context"].get("refine_count", 0)
         state["context"]["refine_count"] = current_count + 1
         logger.info(f"Refinement iteration: {state['context']['refine_count']}")
-
         refinement_prompt = (
             f"Refine this analysis:\n{state['messages'][-1].content}\n\n"
             "Improve:\n1. Technical precision\n2. Empirical grounding\n3. Theoretical coherence"
@@ -494,11 +492,12 @@ class ResearchInterface:
     def _execute_analysis(self, query: str) -> None:
         try:
             with st.spinner("Initializing Quantum Analysis..."):
+                # Pass a recursion limit configuration into the graph invocation
                 results = self.workflow.app.stream({
                     "messages": [HumanMessage(content=query)],
                     "context": {},
                     "metadata": {}
-                })
+                }, {"recursion_limit": 100})
                 for event in results:
                     self._render_event(event)
                 st.success("✅ Analysis Completed Successfully")