typo in tool finding

app.py

@@ -23,17 +23,13 @@ OPENAI_TOKEN = os.getenv("OPENAI_API_KEY")
 
 # --- Custom Tools ---
 class ReliableSearchTool(Tool):
-    """A search tool that handles timeouts and rate limits gracefully."""
+    name = "reliable_search"
+    description = "Search the web for information with built-in retry and fallback mechanisms"
     
     def __init__(self):
-        super().__init__(
-            name="reliable_search",
-            description="Search the web for information with built-in retry and fallback mechanisms",
-            fn=self.search
-        )
         self.ddg_tool = DuckDuckGoSearchTool()
-        self.max_retries = 3
-        self.timeout = 10
+        self.max_retries = 2  # Reduced for efficiency
+        self.timeout = 8
         
     def search(self, query: str) -> str:
         """Search the web with retry logic and fallbacks."""
@@ -67,9 +63,9 @@ class SlpMultiAgent:
         
         # Use GPT-3.5-turbo model with optimized settings
         model = OpenAIServerModel(
-            model_id="gpt-3.5-turbo", 
+            model_id="gpt-3.5-turbo-16k", 
             temperature=0.1,  # Slight randomness for better reasoning
-            max_tokens=800    # Reduced tokens for cost efficiency
+            max_tokens=1000    # Keep higher tokens for complex reasoning
         )
         
         # Here you can implement your agent logic, tools, and model calls
@@ -77,7 +73,7 @@ class SlpMultiAgent:
             tools=[ReliableSearchTool(), VisitWebpageTool()],  # Use our custom reliable search tool
             model=model,
             additional_authorized_imports=["pandas", "time", "json", "requests"],
-            max_steps=3,  # Further reduced steps for efficiency
+            max_steps=5,  # Keep sufficient steps for complex tasks
             name="WebAgent",
             verbosity_level=0,
             description="An agent that can search the web and visit webpages to find information."
@@ -85,9 +81,9 @@ class SlpMultiAgent:
 
         manager_agent = CodeAgent(
             model=OpenAIServerModel(
-                model_id="gpt-3.5-turbo",
+                model_id="gpt-3.5-turbo-16k",
                 temperature=0.1, 
-                max_tokens=800
+                max_tokens=1000
             ),
             tools=[],
             managed_agents=[web_agent],
@@ -101,7 +97,7 @@ class SlpMultiAgent:
             ],
             planning_interval=3,
             verbosity_level=1,
-            max_steps=6,  # Reduced steps for efficiency
+            max_steps=10,  # Keep full steps for complex reasoning
             final_answer_checks=[check_reasoning]
         )