Update app.py

app.py

@@ -9,6 +9,7 @@ from langchain.agents import AgentExecutor
 from langchain_experimental.tools import PythonREPLTool
 from langchain_community.tools.youtube.search import YouTubeSearchTool
 from langchain_community.tools.tavily_search import TavilySearchResults
+from langchain.tools import WebBrowserTool, FileTool
 from langchain_openai import ChatOpenAI
 from langgraph.graph import StateGraph, END
 from langgraph.prebuilt import ToolNode, tools_condition
@@ -23,18 +24,33 @@ class AgentState(TypedDict):
 def create_langgraph_agent():
     print("Initializing Advanced LangGraph Agent...")
     
-    # 1. Kielimalli (GPT-4o on paras valinta)
-    llm = ChatOpenAI(model="gpt-4o", temperature=0)
+    # 1. System prompt GAIA-tyyliin
+    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:
+FINAL ANSWER: [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 on whether the element to be put in the list is a number or a string.
+"""
+    llm = ChatOpenAI(model="gpt-4o", temperature=0, system_message=system_prompt)
     
-    # 2. Työkalut: Tavily, PythonREPL ja YouTube
-    tools = [TavilySearchResults(max_results=3), PythonREPLTool(), YouTubeSearchTool()]
+    # 2. Työkalut: Tavily, PythonREPL, YouTube, WebBrowser ja File
+    tools = [
+        TavilySearchResults(max_results=3),
+        PythonREPLTool(),
+        YouTubeSearchTool(),
+        WebBrowserTool(),        # selainpohjaiset haut ja interaktio
+        FileTool()              # tiedostojen luku- ja kirjoitustyökalut
+    ]
     llm_with_tools = llm.bind_tools(tools)
     print("LLM and tools initialized.")
 
     # 3. Agentin solmu (kutsuu kielimallia)
     def agent_node(state):
         print("Calling agent node...")
-        return {"messages": [llm_with_tools.invoke(state["messages"]) ]}
+        return {"messages": [llm_with_tools.invoke(state["messages"])]}
     
     # 4. Työkalusolmu
     tool_node = ToolNode(tools)
@@ -49,7 +65,7 @@ def create_langgraph_agent():
     graph.add_edge("tools", "agent")
 
     # 6. Graafin kääntäminen ja turvarajan asettaminen
-    app = graph.compile()  # recursion_limit poistettu compile-kutsusta
+    app = graph.compile()  # rekursion raja määritellään invoke-kutsussa
     print("LangGraph agent compiled and ready.")
     return app