Update app.py

app.py

@@ -2,8 +2,8 @@ import os
 from flask import Flask, render_template, request, jsonify
 from flask_cors import CORS
 from langchain_huggingface import HuggingFaceEndpoint
-# UPDATED IMPORTS FOR 2026
-from langchain.agents import create_react_agent, AgentExecutor
+# THE STABLE IMPORTS - NO MORE MISSING NAMES
+from langchain.agents import AgentExecutor, create_react_agent
 from langchain_core.tools import Tool
 from langchain_core.prompts import PromptTemplate
 from duckduckgo_search import DDGS
@@ -11,15 +11,14 @@ from duckduckgo_search import DDGS
 app = Flask(__name__)
 CORS(app)
 
-# 1. Setup LLM (Using your HF_TOKEN)
+# 1. Setup LLM
 sec_token = os.getenv("HF_TOKEN")
 llm = HuggingFaceEndpoint(
     repo_id="meta-llama/Llama-3.2-3B-Instruct",
     huggingfacehub_api_token=sec_token,
-    timeout=300
 )
 
-# 2. Bulletproof Search
+# 2. Manual Search
 def manual_search(query: str):
     try:
         with DDGS() as ddgs:
@@ -32,22 +31,20 @@ tools = [
     Tool(
         name="Search",
         func=manual_search,
-        description="Search the web for current events."
+        description="Useful for finding current info on the web."
     )
 ]
 
-# 3. The 2026 Stable ReAct Prompt
-template = """Answer the following questions as best you can. You have access to the following tools:
+# 3. Explicit Prompt Template (This is required for create_react_agent)
+template = """Answer the following questions:
 {tools}
-
-Use the following format:
-Question: the input question you must answer
-Thought: you should always think about what to do
+Format:
+Question: {input}
+Thought: {agent_scratchpad}
 Action: the action to take, should be one of [{tool_names}]
 Action Input: the input to the action
 Observation: the result of the action
-... (this Thought/Action/Action Input/Observation can repeat)
-Thought: I now know the final answer
+... (repeat)
 Final Answer: the final answer
 
 Begin!
@@ -56,14 +53,9 @@ Thought: {agent_scratchpad}"""
 
 prompt = PromptTemplate.from_template(template)
 
-# 4. Create Agent
+# 4. Initialize Agent
 agent = create_react_agent(llm, tools, prompt)
-agent_executor = AgentExecutor(
-    agent=agent, 
-    tools=tools, 
-    verbose=True, 
-    handle_parsing_errors=True
-)
+agent_executor = AgentExecutor(agent=agent, tools=tools, handle_parsing_errors=True)
 
 @app.route('/')
 def index():
@@ -73,9 +65,9 @@ def index():
 def ask():
     try:
         data = request.get_json()
-        user_query = data.get("query")
+        query = data.get("query")
         # Run agent
-        result = agent_executor.invoke({"input": user_query})
+        result = agent_executor.invoke({"input": query})
         return jsonify({"answer": result["output"]})
     except Exception as e:
         return jsonify({"answer": f"System Error: {str(e)}"}), 500