chore: Note credential-leak risk on raw error logging in examples

JS-side reviewer flagged that provider error responses may include
credentials (OpenAI has historically echoed API keys back in error
JSON). The examples intentionally print the raw exception so users can
see what's wrong without modifying code, but a short comment above each
top-level catch-and-log explains that production code should sanitize
errors first.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

Author: jsonbailey

features/create_agent/create_agent_example.py

@@ -109,6 +109,9 @@ async def async_main():
         else:
             print("\nNo judge evaluations were performed.")
 
+    # For convenience during example debugging, we print the raw error. In
+    # production, sanitize errors before logging — provider responses may
+    # include credentials or other sensitive data.
     except Exception as err:
         print("Error:", err)
     finally:

features/create_agent_graph/create_agent_graph_example.py

@@ -127,6 +127,9 @@ async def async_main():
                 print(f"  score: {eval_result.score}")
                 print(f"  reasoning: {eval_result.reasoning}")
 
+    # For convenience during example debugging, we print the raw error. In
+    # production, sanitize errors before logging — provider responses may
+    # include credentials or other sensitive data.
     except Exception as err:
         print("Error:", err)
     finally:

features/create_judge/create_judge_example.py

@@ -94,6 +94,9 @@ async def async_main():
             print(f"  reasoning: {judge_result.reasoning}")
 
         print("\nDone!")
+    # For convenience during example debugging, we print the raw error. In
+    # production, sanitize errors before logging — provider responses may
+    # include credentials or other sensitive data.
     except Exception as err:
         print("Error:", err)
     finally:

features/create_model/create_model_example.py

@@ -95,6 +95,9 @@ async def async_main():
         else:
             print("\nNo judge evaluations were performed. Try adding a judge to the AI config to see results.")
 
+    # For convenience during example debugging, we print the raw error. In
+    # production, sanitize errors before logging — provider responses may
+    # include credentials or other sensitive data.
     except Exception as err:
         print("Error:", err)
     finally:

getting_started/langchain/invoke/langchain_example.py

@@ -118,6 +118,9 @@ async def async_main():
         if summary.tool_calls:
             print(f"  Tool calls:    {', '.join(summary.tool_calls)}")
 
+    # For convenience during example debugging, we print the raw error. In
+    # production, sanitize errors before logging — provider responses may
+    # include credentials or other sensitive data.
     except Exception as e:
         print(f"Error during completion: {e}")
         print("Please ensure you have the correct API keys and credentials set up for the detected provider.")

getting_started/langgraph/react_agent/langgraph_agent_example.py

@@ -121,6 +121,9 @@ def main():
         if summary.tool_calls:
             print(f"  Tool calls:    {', '.join(summary.tool_calls)}")
 
+    # For convenience during example debugging, we print the raw error. In
+    # production, sanitize errors before logging — provider responses may
+    # include credentials or other sensitive data.
     except Exception as e:
         print(f"\nError: {e}")
         print("Please ensure you have the correct API keys and credentials set up for the detected providers.")

getting_started/langgraph/state_graph/langgraph_multi_agent_example.py

@@ -147,6 +147,9 @@ def ai_node(
             }
         )
 
+    # For convenience during example debugging, we print the raw error. In
+    # production, sanitize errors before logging — provider responses may
+    # include credentials or other sensitive data.
     except Exception as e:
         print(f"Error in node for {config_key}: {e}")
         return Command(
@@ -278,6 +281,9 @@ def calculate_average(numbers):
         print(final_report)
         print("="*80)
 
+    # For convenience during example debugging, we print the raw error. In
+    # production, sanitize errors before logging — provider responses may
+    # include credentials or other sensitive data.
     except Exception as e:
         print(f"Error during workflow execution: {e}")
         print("Please ensure you have the correct API keys and credentials set up for the detected providers.")