use bing as search engine

agent.py

@@ -12,7 +12,7 @@ from langgraph.checkpoint.memory import MemorySaver
 from langgraph.prebuilt import tools_condition
 from langchain_openai import ChatOpenAI
 from tools import agent_tools
-from utils import format_gaia_answer, create_execution_plan, log_agent_step
+from utils import format_gaia_answer, log_agent_step
 
 # Initialize OpenAI LLM with GPT-4o (most capable model)
 chat = ChatOpenAI(
@@ -89,9 +89,6 @@ class SmartAgent:
         try:
             print(f"\n🎯 Processing question: {question[:100]}...")
             
-            plan = create_execution_plan(question, task_id)
-            print(f"📋 Execution plan: {plan}")
-            
             enhanced_question = question
             if task_id:
                 enhanced_question = f"Task ID: {task_id}\n\nQuestion: {question}"

tools.py

@@ -182,23 +182,21 @@ def get_search_urls(query: str) -> list:
     try:
         with DDGS() as ddgs:
             # Create Wikipedia-specific search queries
-            wikipedia_queries = [
-                f"site:en.wikipedia.org {query}",
+            queries = [
                 f"{query} site:en.wikipedia.org"
             ]
             
             search_results = []
             seen_urls = set()
             
-            for wiki_query in wikipedia_queries:
+            for wiki_query in queries:
                 try:
-                    results = list(ddgs.text(wiki_query, max_results=2))
+                    results = list(ddgs.text(wiki_query, max_results=10, region="us-en", backend="bing", safesearch="on"))
                     
                     for result in results:
                         url = result.get('href', '')
                         
-                        # Only include Wikipedia URLs and avoid duplicates
-                        if 'en.wikipedia.org' in url and url not in seen_urls:
+                        if url not in seen_urls:
                             search_results.append({
                                 'url': url,
                                 'title': result.get('title', 'No title'),

utils.py

@@ -84,23 +84,6 @@ def format_gaia_answer(raw_answer: str) -> str:
     
     return answer
 
-def create_execution_plan(question: str, task_id: str = None) -> List[str]:
-    """Create a simple execution plan - let GPT-4o decide what tools to use."""
-    plan = []
-    
-    # Always start with understanding the question
-    plan.append("Analyze the question to understand what information is needed")
-    
-    # Add file processing if task_id is provided
-    if task_id:
-        plan.append(f"Check for and process any files associated with task {task_id}")
-    
-    # Let the LLM decide what other tools to use
-    plan.append("Use appropriate tools (web search, calculations, etc.) as needed")
-    plan.append("Synthesize all information to provide the final answer")
-    
-    return plan
-
 def log_agent_step(step: str, result: str, step_number: int = None):
     """Log agent execution steps for debugging."""
     prefix = f"Step {step_number}: " if step_number else ""