fix: Improve backend parsing and frontend stability

app.py

@@ -112,24 +112,15 @@ def create_negotiation_transcript_display(transcript: List[Dict]) -> str:
     if not transcript:
         return "### Agent Negotiation Log\n\n*Awaiting instructions...*"
 
-    markdown = "### Agent Negotiation Log\n\n---\n\n"
+    markdown = "### Agent Negotiation Log\n\n---\n"
     for entry in transcript:
         agent = entry.get('agent', 'System')
-        message = entry.get('message', '')
+        message = entry.get('message', '').replace('\n', '\n> ') # Indent multiline messages
         
-        # Make the agent name bold and add color
-        if agent == "Chief Strategist":
-            color = "#ff8c00" # Orange
-        elif agent == "Conceptual Artist":
-            color = "#da70d6" # Orchid
-        elif agent == "System":
-            color = "#ff4d4d" # Red
-        else:
-            color = "#00ff41" # Green
-            
-        markdown += f"<p style='color: {color}; margin-bottom: 5px;'><strong>🤖 {agent}:</strong></p>\n"
-        markdown += f"<p style='margin-left: 20px; margin-top: 0px;'>{message}</p>\n\n"
-        markdown += "---\n\n"
+        # Using markdown emphasis and blockquotes instead of raw HTML
+        markdown += f"\n\n**🤖 {agent}:**\n"
+        markdown += f"> {message}\n\n"
+        markdown += "---"
         
     return markdown
 

real_ai_agents_implementation.py

@@ -188,14 +188,22 @@ class PriorArtDetective(BaseAgent):
         summary_response_text = self._execute_prompt(summary_prompt)
         
         try:
-            summary_data = json.loads(summary_response_text.strip())
+            # Clean the response to handle markdown code blocks
+            match = re.search(r'```json\s*([\s\S]*?)\s*```', summary_response_text)
+            if match:
+                json_str = match.group(1)
+            else:
+                json_str = summary_response_text
+            
+            summary_data = json.loads(json_str.strip())
             summary_data["key_concepts"] = key_concepts # Add concepts for context
             return summary_data
         except json.JSONDecodeError:
+            print(f"Failed to parse JSON from LLM summary response: {summary_response_text}")
             return {
                 "key_concepts": key_concepts,
-                "real_prior_art": search_findings,
-                "landscape_summary": "Error parsing summary from LLM, but search was performed.",
+                "real_prior_art": search_findings, # Return the raw findings
+                "landscape_summary": "Error: The AI's analysis of the search results could not be parsed.",
             }
 
 class ChiefStrategistAgent(BaseAgent):