🔧 Tonic 0.14 Upgrade: Auto-generated and build system changes

Wave 64-65 cleanup: Proto regeneration and build system updates from Tonic 0.12→0.14 upgrade

Files updated:
- Cargo.lock: Dependency resolution for Tonic 0.14.2
- All build.rs: Updated for tonic-prost-build
- Proto files: Regenerated with tonic-prost 0.14
- Examples/tests: Updated for new gRPC API

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

examples/dual_provider_integration.rs

@@ -8,7 +8,7 @@
 //! system to be re-implemented in the config crate.
 
 use anyhow::Result;
-use config::{ConfigManager, DatabaseConfig};
+use config::DatabaseConfig;
 use tracing::info;
 
 #[tokio::main]

examples/prometheus_integration_demo.rs

@@ -82,6 +82,9 @@ async fn main() -> Result<(), Box<dyn std::error::Error>> {
 
     info!("🏁 Demo completed. In production, metrics would be continuously collected.");
 
+    // Print final metrics summary
+    print_metrics_summary();
+
     Ok(())
 }
 
@@ -161,7 +164,7 @@ async fn simulate_ml_operations() {
         };
 
         // Simulate inference latency (10-100 microseconds)
-        let inference_latency = 10.0 + (i as f64 * 5.0);
+        let _inference_latency = 10.0 + (i as f64 * 5.0);
 
         // Simulate prediction confidence (70-95%)
         let confidence = 0.70 + (i as f64 * 0.015);
@@ -197,7 +200,7 @@ async fn simulate_risk_management() {
     info!("🛡️  Starting risk management simulation");
 
     let mut portfolio_value = 1_000_000.0f64; // $1M starting portfolio
-    let mut var_95 = 50_000.0f64; // $50K VaR
+    let mut var_95; // VaR will be calculated in loop
     let mut concentration_score = 800.0f64; // HHI score
 
     for i in 0..12 {
@@ -215,7 +218,7 @@ async fn simulate_risk_management() {
         concentration_score = concentration_score.max(100.0).min(2000.0);
 
         // Simulate risk calculation latency
-        let risk_calc_latency = 15.0 + (i as f64 * 3.0);
+        let _risk_calc_latency = 15.0 + (i as f64 * 3.0);
 
         let elapsed = start_time.elapsed().as_micros() as f64;