Update app.py

app.py

@@ -9,7 +9,10 @@ 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_community.tools import WebBrowserTool, FileTool
+# Playwright-selain-työkalut
+from langchain_community.agent_toolkits.playwright.toolkit import PlayWrightBrowserToolkit
+# Tiedostohallinnan työkalut
+from langchain_community.agent_toolkits.file_management.toolkit import FileManagementToolkit
 from langchain_openai import ChatOpenAI
 from langgraph.graph import StateGraph, END
 from langgraph.prebuilt import ToolNode, tools_condition
@@ -35,28 +38,32 @@ If you are asked for a string, don't use articles, neither abbreviations (e.g. f
 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, YouTube, WebBrowser ja File
+
+    # 2. Työkalut: Tavily, PythonREPL ja YouTube
     tools = [
         TavilySearchResults(max_results=3),
         PythonREPLTool(),
         YouTubeSearchTool(),
-        WebBrowserTool(),        # selainpohjaiset haut ja interaktio
-        FileTool()              # tiedostojen luku- ja kirjoitustyökalut
     ]
+    # 3. Lisätään selain- ja tiedosto-työkalut PlayWright- ja FileManagement-toolkiteista
+    browser_toolkit = PlayWrightBrowserToolkit()
+    tools.extend(browser_toolkit.get_tools())
+    file_toolkit = FileManagementToolkit(root_dir=".")
+    tools.extend(file_toolkit.get_tools())
+
     llm_with_tools = llm.bind_tools(tools)
     print("LLM and tools initialized.")
 
-    # 3. Agentin solmu (kutsuu kielimallia)
+    # 4. Agentin solmu (kutsuu kielimallia)
     def agent_node(state):
         print("Calling agent node...")
         return {"messages": [llm_with_tools.invoke(state["messages"])]}
     
-    # 4. Työkalusolmu
+    # 5. Työkalusolmu
     tool_node = ToolNode(tools)
     print("Graph nodes defined.")
 
-    # 5. Graafin määritys
+    # 6. Graafin määritys
     graph = StateGraph(AgentState)
     graph.add_node("agent", agent_node)
     graph.add_node("tools", tool_node)
@@ -64,13 +71,13 @@ If you are asked for a comma separated list, apply the above rules depending on
     graph.add_conditional_edges("agent", tools_condition)
     graph.add_edge("tools", "agent")
 
-    # 6. Graafin kääntäminen ja turvarajan asettaminen
+    # 7. Graafin kääntäminen
     app = graph.compile()  # rekursion raja määritellään invoke-kutsussa
     print("LangGraph agent compiled and ready.")
     return app
 
 # Agentin suoritusfunktio
-def run_agent(agent_executor, question: str) -> str:
+ def run_agent(agent_executor, question: str) -> str:
     print(f"Agent received question: {question}")
     final_answer = ""
     try: