Update graph.py

graph.py

@@ -574,6 +574,29 @@ CRITICAL REQUIREMENTS:
     # Complete code here
     Generate complete repository:"""
 
+    # OTHER ARTIFACT TYPES
+    enhanced_prompt = f"""Create HIGH-QUALITY {exp_type} artifact.
+    {full_context}
+
+    GOAL: {goal}
+
+    REQUIREMENTS:
+
+    Use ALL specific details from request
+
+    PRODUCTION-READY, COMPLETE content (NO placeholders)
+
+    ACTUAL data, REALISTIC examples, WORKING code
+
+    For notebooks: markdown + executable code + visualizations
+
+    For scripts: error handling + docs + real logic
+
+    For documents: substantive detailed content
+
+    Generate complete content for '{exp_type}' with proper code fences."""
+
+
     response = llm.invoke(enhanced_prompt)
     llm_text = getattr(response, "content", "") or ""
     
@@ -673,28 +696,7 @@ CRITICAL REQUIREMENTS:
         "status_update": f"Repository created ({len(repo_files)} files)"
     }
 
-    # OTHER ARTIFACT TYPES
-    enhanced_prompt = f"""Create HIGH-QUALITY {exp_type} artifact.
-    {full_context}
-
-    GOAL: {goal}
-
-    REQUIREMENTS:
-
-    Use ALL specific details from request
-
-    PRODUCTION-READY, COMPLETE content (NO placeholders)
-
-    ACTUAL data, REALISTIC examples, WORKING code
-
-    For notebooks: markdown + executable code + visualizations
-
-    For scripts: error handling + docs + real logic
-
-    For documents: substantive detailed content
-
-    Generate complete content for '{exp_type}' with proper code fences."""
-
+    
     response = llm.invoke(enhanced_prompt)
     llm_text = getattr(response, "content", "") or ""
     results = {"success": False, "paths": {}, "stderr": "", "stdout": "", "context_used": len(full_context)}