Update app.py

First-name enforcement if the question requires it.
Finalizer logging for transcript/Wikipedia-based inference.
Wikipedia snippet preview logging in the trace.
YouTubeTranscript error detection and trace update.
PythonExec input validation to reject vague or placeholder inputs.

app.py

@@ -158,6 +158,12 @@ def tool_node(state: AgentState) -> AgentState:
         state["observation"] = "ERROR: Invalid tool format."
         return state
     tool_name, argument = match.groups()
+
+    if tool_name == "PythonExec" and ("attached" in argument.lower() or "code" in argument.lower()):
+        state["observation"] = "Final Answer: I cannot evaluate placeholder or missing code."
+        state["debug_trace"].append("[ToolNode] PythonExec received non-executable placeholder.")
+        return state
+
     selected_tool = tools.get(tool_name)
     state["debug_trace"].append(f"[ToolNode] Tool selected: {tool_name} | Input: {argument}")
     if not selected_tool:
@@ -165,11 +171,18 @@ def tool_node(state: AgentState) -> AgentState:
         return state
     query = state.get("rewritten_query") or argument.strip()
     result = selected_tool.invoke(query)
+    if "wikipedia.org" in query:
+        state["debug_trace"].append("[ToolNode] Wikipedia snippet preview: " + result[:200].replace("\n", " "))
+
     if tool_name == "Search" and is_vague(result):
         retry_query = query + " site:wikipedia.org"
         result_retry = selected_tool.invoke(retry_query)
         if not is_vague(result_retry):
             result = result_retry
+    
+    if tool_name == "YouTubeTranscript" and ("Transcript unavailable" in result or not result.strip()):
+        state["debug_trace"].append("[ToolNode] Transcript retrieval failed or returned empty content.")
+
     state["observation"] = result
     state["history"].append((state["planner_output"], state["observation"]))
     state["replan_count"] += 1
@@ -193,6 +206,25 @@ def finalizer_node(state: AgentState) -> AgentState:
     raw_response = llm.invoke([HumanMessage(content=final_prompt)]).content.strip()
     answer = raw_response.splitlines()[0].strip()
     state["answer"] = answer
+    # Enforce first name if question requires it
+    if "first name" in state["question"].lower() and " " in answer:
+        first_name = answer.split()[0]
+        state["debug_trace"].append(f"[Finalizer] Trimmed to first name: {first_name}")
+        answer = first_name
+        state["answer"] = first_name
+
+    # Log inference decisions
+    if "Transcript" in history or "wikipedia.org" in history:
+        state["debug_trace"].append("[Finalizer] Attempting inference from structured snippet...")
+        if "not found" in answer.lower():
+            lines = state["observation"].split(". ")
+            if lines:
+                possible = lines[0].strip()
+                if len(possible.split()) <= 10:
+                    state["debug_trace"].append(f"[Finalizer] Adjusted Answer: {possible}")
+                    answer = possible
+                    state["answer"] = possible
+
 
     # Infer from transcript or wiki snippet if vague
     if "Transcript" in history or "wikipedia.org" in history: