context to string

app.py

@@ -377,8 +377,8 @@ class PerplexityR1Model:
         """Call the model with the prompt."""
         # Determine message format and count tokens
         if isinstance(prompt, list):
-            # Combine all message contents for token counting
-            combined_prompt = " ".join(msg.get("content", "") for msg in prompt)
+            # Convert each message's content to a string to avoid nested lists
+            combined_prompt = " ".join(str(msg.get("content", "")) for msg in prompt)
             self.last_input_token_count = len(combined_prompt.split())
             messages = prompt  # Already in message format
         elif isinstance(prompt, str):
@@ -406,13 +406,11 @@ class PerplexityR1Model:
             # For context length errors, try simple truncation
             if "context length" in str(e).lower() or "token limit" in str(e).lower():
                 print("Context length error with R1-1776 - truncating prompt and retrying")
-                # Simple truncation - take the last ~80K characters which should be under the limit
                 if isinstance(prompt, str):
                     truncated_prompt = prompt[-80000:] if len(prompt) > 80000 else prompt
                     messages = [{"role": "user", "content": truncated_prompt}]
                 else:
-                    # For list input, join and truncate then rebuild messages
-                    combined_prompt = " ".join(msg.get("content", "") for msg in prompt)
+                    combined_prompt = " ".join(str(msg.get("content", "")) for msg in prompt)
                     truncated_prompt = combined_prompt[-80000:] if len(combined_prompt) > 80000 else combined_prompt
                     messages = [{"role": "user", "content": truncated_prompt}]