diff --git a/LLama.Examples/Examples/BatchedExecutorFork.cs b/LLama.Examples/Examples/BatchedExecutorFork.cs
index 3366951a..2909719f 100644
--- a/LLama.Examples/Examples/BatchedExecutorFork.cs
+++ b/LLama.Examples/Examples/BatchedExecutorFork.cs
@@ -31,7 +31,8 @@ public class BatchedExecutorFork
         Console.WriteLine($"Created executor with model: {name}");
 
         // Evaluate the initial prompt to create one conversation
-        using var start = executor.Prompt(prompt);
+        using var start = executor.Create();
+        start.Prompt(prompt);
         await executor.Infer();
 
         // Create the root node of the tree
diff --git a/LLama.Examples/Examples/BatchedExecutorGuidance.cs b/LLama.Examples/Examples/BatchedExecutorGuidance.cs
index de78085a..29f6aa33 100644
--- a/LLama.Examples/Examples/BatchedExecutorGuidance.cs
+++ b/LLama.Examples/Examples/BatchedExecutorGuidance.cs
@@ -33,8 +33,10 @@ public class BatchedExecutorGuidance
         Console.WriteLine($"Created executor with model: {name}");
 
         // Load the two prompts into two conversations
-        using var guided = executor.Prompt(positivePrompt);
-        using var guidance = executor.Prompt(negativePrompt);
+        using var guided = executor.Create();
+        guided.Prompt(positivePrompt);
+        using var guidance = executor.Create();
+        guidance.Prompt(negativePrompt);
 
         // Run inference to evaluate prompts
         await AnsiConsole
diff --git a/LLama.Examples/Examples/BatchedExecutorRewind.cs b/LLama.Examples/Examples/BatchedExecutorRewind.cs
index 4007dd50..8aae92af 100644
--- a/LLama.Examples/Examples/BatchedExecutorRewind.cs
+++ b/LLama.Examples/Examples/BatchedExecutorRewind.cs
@@ -32,7 +32,8 @@ public class BatchedExecutorRewind
         Console.WriteLine($"Created executor with model: {name}");
 
         // Evaluate the initial prompt to create one conversation
-        using var conversation = executor.Prompt(prompt);
+        using var conversation = executor.Create();
+        conversation.Prompt(prompt);
         
         // Create the start node wrapping the conversation
         var node = new Node(executor.Context);
diff --git a/LLama/Batched/BatchedExecutor.cs b/LLama/Batched/BatchedExecutor.cs
index 8ee58a7f..b15d445e 100644
--- a/LLama/Batched/BatchedExecutor.cs
+++ b/LLama/Batched/BatchedExecutor.cs
@@ -68,17 +68,30 @@ public sealed class BatchedExecutor
     /// </summary>
     /// <param name="prompt"></param>
     /// <returns></returns>
+    [Obsolete("Use BatchedExecutor.Create instead")]
     public Conversation Prompt(string prompt)
     {
         if (IsDisposed)
             throw new ObjectDisposedException(nameof(BatchedExecutor));
 
-        var conversation = new Conversation(this, GetNextSequenceId(), 0);
+        var conversation = Create();
         conversation.Prompt(prompt);
 
         return conversation;
     }
 
+    /// <summary>
+    /// Start a new <see cref="Conversation"/>
+    /// </summary>
+    /// <returns></returns>
+    public Conversation Create()
+    {
+        if (IsDisposed)
+            throw new ObjectDisposedException(nameof(BatchedExecutor));
+
+        return new Conversation(this, GetNextSequenceId(), 0);
+    }
+
     /// <summary>
     /// Run inference for all conversations in the batch which have pending tokens.
     ///
diff --git a/LLama/LLamaContext.cs b/LLama/LLamaContext.cs
index 253fe4c4..0db9e19c 100644
--- a/LLama/LLamaContext.cs
+++ b/LLama/LLamaContext.cs
@@ -85,6 +85,11 @@ namespace LLama
             }
         }
 
+        /// <summary>
+        /// Get the maximum batch size for this context
+        /// </summary>
+        public uint BatchSize => NativeHandle.BatchSize;
+
         /// <summary>
         /// Create a new LLamaContext for the given LLamaWeights
         /// </summary>