Upload llm_agents.py

agents/llm_agents.py

@@ -271,13 +271,12 @@ Return ONLY valid JSON."""
             
         except Exception as e:
             error_msg = str(e)
-            # Parse common HF errors
-            if "Rate limit" in error_msg or "429" in error_msg:
-                log(f"   ⚠️ Rate limited - HF free tier exhausted")
-            elif "Request ID:" in error_msg:
-                log(f"   ⚠️ HF API error (check token/model)")
-            else:
-                log(f"   ⚠️ Error: {error_msg[:60]}")
+            # Always log full error for diagnosis
+            log(f"   ⚠️ Brand Identifier failed: {error_msg[:120]}")
+            if "gated" in error_msg.lower() or "access" in error_msg.lower():
+                log(f"   └─ Model may require license acceptance at huggingface.co")
+            elif "Rate limit" in error_msg or "429" in error_msg:
+                log(f"   └─ HF free tier rate limit — wait or upgrade to Pro")
             return BrandIdentification()
     
     def _format_color_data(self, color_tokens: dict) -> str:
@@ -486,7 +485,7 @@ Return ONLY valid JSON."""
             return result
             
         except Exception as e:
-            log(f"   ├─ ⚠️ Error: {str(e)[:50]}")
+            log(f"   ├─ ⚠️ Benchmark Advisor failed: {str(e)[:120]}")
             return BenchmarkAdvice()
     
     def _format_comparisons(self, comparisons: list) -> str:
@@ -684,7 +683,7 @@ Return ONLY valid JSON."""
             return result
             
         except Exception as e:
-            log(f"   ├─ ⚠️ Error: {str(e)[:50]}")
+            log(f"   ├─ ⚠️ Best Practices Validator failed: {str(e)[:120]}")
             return BestPracticesResult()
     
     def _parse_response(self, response: str) -> BestPracticesResult:
@@ -880,7 +879,7 @@ Return ONLY valid JSON."""
             return result
             
         except Exception as e:
-            log(f"   ├─ ⚠️ Error: {str(e)[:50]}")
+            log(f"   ├─ ⚠️ Head Synthesizer failed: {str(e)[:120]}")
             return HeadSynthesis()
     
     def _parse_response(self, response: str) -> HeadSynthesis: