diff --git a/optillm/bon.py b/optillm/bon.py
index 8ee752a..7f38ed9 100644
--- a/optillm/bon.py
+++ b/optillm/bon.py
@@ -9,18 +9,30 @@ def best_of_n_sampling(system_prompt: str, initial_query: str, client, model: st
                 {"role": "user", "content": initial_query}]
     
     completions = []
-    
-    response = client.chat.completions.create(
-        model=model,
-        messages=messages,
-        max_tokens=4096,
-        n=n,
-        temperature=1
-    )
-    completions = [choice.message.content for choice in response.choices]
+
+    try:
+        response = client.chat.completions.create(
+            model=model,
+            messages=messages,
+            max_tokens=4096,
+            n=n,
+            temperature=1
+        )
+        completions = [choice.message.content for choice in response.choices]
+        bon_completion_tokens += response.usage.completion_tokens
+    except:
+        for _ in range(n):
+            response = client.chat.completions.create(
+                model=model,
+                messages=messages,
+                max_tokens=4096,
+                n=1,
+                temperature=1
+            )
+            completions.extend([choice.message.content for choice in response.choices])
+            bon_completion_tokens += response.usage.completion_tokens
     logger.info(f"Generated {len(completions)} initial completions. Tokens used: {response.usage.completion_tokens}")
-    bon_completion_tokens += response.usage.completion_tokens
-    
+
     # Rate the completions
     rating_messages = messages.copy()
     rating_messages.append({"role": "system", "content": "Rate the following responses on a scale from 0 to 10, where 0 is poor and 10 is excellent. Consider factors such as relevance, coherence, and helpfulness. Respond with only a number."})