fix: preserve all configuration properties across cloning and deserialization

This ensures deployment behavior, model adaptation capabilities, and training history
are maintained when copying or reloading models.

Updated three methods:
1. WithParameters: Now passes LoRAConfiguration, CrossValidationResult, AgentConfig,
   AgentRecommendation, and DeploymentConfiguration to constructor
2. DeepCopy: Same as WithParameters for consistency
3. Deserialize: Now assigns all RAG components (RagRetriever, RagReranker, RagGenerator,
   QueryProcessors) and configuration properties (LoRAConfiguration, CrossValidationResult,
   AgentConfig, AgentRecommendation, DeploymentConfiguration) from deserialized object

This fixes the issue where deployment/export/runtime settings, LoRA configurations, and
meta-learning properties were lost when calling WithParameters, DeepCopy, or Deserialize.

Author: ooples

src/Models/Results/PredictionModelResult.cs

@@ -995,7 +995,8 @@ public IFullModel<T, TInput, TOutput> WithParameters(Vector<T> parameters)
         updatedOptimizationResult.BestSolution = newModel;
 
         // Create new result with updated optimization result
-        // Use constructor that preserves BiasDetector, FairnessEvaluator, and RAG components
+        // Preserve all configuration properties to ensure deployment behavior, model adaptation,
+        // and training history are maintained across parameter updates
         return new PredictionModelResult<T, TInput, TOutput>(
             updatedOptimizationResult,
             NormalizationInfo,
@@ -1004,7 +1005,12 @@ public IFullModel<T, TInput, TOutput> WithParameters(Vector<T> parameters)
             RagRetriever,
             RagReranker,
             RagGenerator,
-            QueryProcessors);
+            QueryProcessors,
+            loraConfiguration: LoRAConfiguration,
+            crossValidationResult: CrossValidationResult,
+            agentConfig: AgentConfig,
+            agentRecommendation: AgentRecommendation,
+            deploymentConfiguration: DeploymentConfiguration);
     }
 
     /// <summary>
@@ -1090,7 +1096,8 @@ public IFullModel<T, TInput, TOutput> DeepCopy()
 
         var clonedNormalizationInfo = NormalizationInfo.DeepCopy();
 
-        // Use constructor that preserves BiasDetector, FairnessEvaluator, and RAG components
+        // Preserve all configuration properties to ensure deployment behavior, model adaptation,
+        // and training history are maintained across deep copy
         return new PredictionModelResult<T, TInput, TOutput>(
             clonedOptimizationResult,
             clonedNormalizationInfo,
@@ -1099,7 +1106,12 @@ public IFullModel<T, TInput, TOutput> DeepCopy()
             RagRetriever,
             RagReranker,
             RagGenerator,
-            QueryProcessors);
+            QueryProcessors,
+            loraConfiguration: LoRAConfiguration,
+            crossValidationResult: CrossValidationResult,
+            agentConfig: AgentConfig,
+            agentRecommendation: AgentRecommendation,
+            deploymentConfiguration: DeploymentConfiguration);
     }
 
     /// <summary>
@@ -1218,6 +1230,17 @@ public void Deserialize(byte[] data)
                 ModelMetaData = deserializedObject.ModelMetaData;
                 BiasDetector = deserializedObject.BiasDetector;
                 FairnessEvaluator = deserializedObject.FairnessEvaluator;
+
+                // Preserve RAG components and all configuration properties
+                RagRetriever = deserializedObject.RagRetriever;
+                RagReranker = deserializedObject.RagReranker;
+                RagGenerator = deserializedObject.RagGenerator;
+                QueryProcessors = deserializedObject.QueryProcessors;
+                LoRAConfiguration = deserializedObject.LoRAConfiguration;
+                CrossValidationResult = deserializedObject.CrossValidationResult;
+                AgentConfig = deserializedObject.AgentConfig;
+                AgentRecommendation = deserializedObject.AgentRecommendation;
+                DeploymentConfiguration = deserializedObject.DeploymentConfiguration;
             }
             else
             {