Implement performance optimizations for chart updates: adaptive throttling, data sampling, dynamic bin adjustment, and request batching

app/routes/api.py

@@ -374,6 +374,16 @@ def get_wealth_distribution(simulation_id: str):
         if num_bins < 1 or num_bins > 50:
             num_bins = 10  # Default to 10 bins
         
+        # Optimize bin count based on agent count for better performance
+        agent_count = len(simulation.agents) if simulation.agents else 0
+        if agent_count > 0:
+            # Reduce bin count for small agent populations to improve performance
+            if agent_count < 50 and num_bins > agent_count // 2:
+                num_bins = max(3, agent_count // 2)
+            # Cap bin count for very large simulations to prevent performance issues
+            elif agent_count > 1000 and num_bins > 25:
+                num_bins = 25
+        
         # Get histogram data
         bin_labels, bin_counts = simulation.get_wealth_histogram(num_bins)