last attempt with smol then back to llama

app.py

@@ -81,6 +81,7 @@ class GeminiModelAdapter:
     def __init__(self, model):
         self.model = model
     def generate(self, *args, **kwargs):
+        kwargs.pop('stop_sequences', None)  # Remove unsupported argument for Gemini
         return self.model.generate_content(*args, **kwargs)
 
 # --- Basic Agent Definition ---
@@ -135,7 +136,13 @@ class SlpMultiAgent:
             tools=[KnowledgeBaseTool(), WikipediaSearchTool(), DuckDuckGoSearchTool()],  # Pass all retrieval tools
             managed_agents=[research_agent, solver_agent],  # Only 2 agents
             name="ManagerAgent",
-            description="Efficient manager for quick problem solving. Uses Wikipedia and DuckDuckGo for factual questions.",
+            description=(
+                "Efficient manager for quick problem solving. "
+                "Uses Wikipedia and DuckDuckGo for factual questions. "
+                "IMPORTANT: Only output a single code block in this format: "
+                "<code>\nfinal_answer(\"your direct, simple answer\")\n</code> "
+                "Do not include any other code, comments, or explanations."
+            ),
             additional_authorized_imports=["re", "math"],
             planning_interval=1,  # Faster planning
             verbosity_level=0,  # Reduce verbosity