Update agent.py

agent.py

@@ -1,6 +1,5 @@
 """LangGraph Agent with OpenAI"""
 import os
-from dotenv import load_dotenv
 from langgraph.graph import START, StateGraph, MessagesState
 from langgraph.prebuilt import tools_condition, ToolNode
 from langchain_openai import ChatOpenAI
@@ -9,8 +8,6 @@ from langchain_community.document_loaders import ArxivLoader
 from langchain_core.messages import SystemMessage, HumanMessage, AIMessage
 from langchain_core.tools import tool
 
-load_dotenv()
-
 # Tools definition
 @tool
 def multiply(a: int, b: int) -> int:
@@ -73,9 +70,12 @@ def wiki_search(query: str) -> str:
     """
     try:
         search_docs = WikipediaLoader(query=query, load_max_docs=2).load()
+        if not search_docs:
+            return f"No Wikipedia results found for: {query}"
+        
         formatted_search_docs = "\n\n---\n\n".join(
             [
-                f'<Document source="{doc.metadata["source"]}" page="{doc.metadata.get("page", "")}"/>\n{doc.page_content[:2000]}\n</Document>'
+                f'Source: {doc.metadata.get("source", "Wikipedia")}\nContent: {doc.page_content[:2000]}...'
                 for doc in search_docs
             ])
         return formatted_search_docs
@@ -93,9 +93,12 @@ def arxiv_search(query: str) -> str:
     """
     try:
         search_docs = ArxivLoader(query=query, load_max_docs=3).load()
+        if not search_docs:
+            return f"No Arxiv results found for: {query}"
+            
         formatted_search_docs = "\n\n---\n\n".join(
             [
-                f'<Document title="{doc.metadata.get("Title", "")}" authors="{doc.metadata.get("Authors", "")}"/>\n{doc.page_content[:1500]}\n</Document>'
+                f'Title: {doc.metadata.get("Title", "Unknown")}\nAuthors: {doc.metadata.get("Authors", "Unknown")}\nContent: {doc.page_content[:1500]}...'
                 for doc in search_docs
             ])
         return formatted_search_docs
@@ -103,7 +106,11 @@ def arxiv_search(query: str) -> str:
         return f"Error searching Arxiv: {str(e)}"
 
 # System prompt
-system_prompt = """You are a general AI assistant. I will ask you a question. Report your thoughts, and finish your answer with the following template: [YOUR FINAL ANSWER]. [YOUR FINAL ANSWER] should be a number OR as few words as possible OR a comma separated list of numbers and/or strings. If you are asked for a number, don't use comma to write your number neither use units such as $ or percent sign unless specified otherwise. If you are asked for a string, don't use articles, neither abbreviations (e.g. for cities), and write the digits in plain text unless specified otherwise. If you are asked for a comma separated list, apply the above rules depending of whether the element to be put in the list is a number or a string."""
+system_prompt = """You are a helpful AI assistant with access to various tools for calculations and information retrieval.
+You can perform mathematical operations, search Wikipedia, and search academic papers on Arxiv.
+Always try to provide accurate, concise, and helpful responses based on the tools available to you.
+When searching for information, be thorough but concise in your final answer.
+If a question requires multiple steps or tools, break it down and use the appropriate tools in sequence."""
 
 # Tools list
 tools = [
@@ -136,8 +143,8 @@ class LangGraphAgent:
         """Build the LangGraph workflow"""
         # Initialize OpenAI LLM
         llm = ChatOpenAI(
-            model="gpt-4.1",  
-            temperature=0.0,
+            model="gpt-4-turbo",  # Changed from gpt-4-turbo-preview
+            temperature=0,
             api_key=self.api_key
         )
         
@@ -215,6 +222,11 @@ BasicAgent = LangGraphAgent
 if __name__ == "__main__":
     # Test the agent
     print("Testing LangGraphAgent...")
+    if not os.environ.get("OPENAI_KEY"):
+        print("Error: OPENAI_KEY environment variable not set")
+        print("Please set it with: export OPENAI_KEY=your-openai-api-key")
+        exit(1)
+        
     try:
         agent = LangGraphAgent()
         test_questions = [