Increase LLM output size to 9999 and add success logging for processed tasks

app.py

@@ -32,7 +32,7 @@ in the list is a number or a string.
 Here is the question: 
 """
 
-llm = HuggingFaceInferenceAPI(model_name='Qwen/Qwen3-32B', num_output=4096, temperature=0.01)
+llm = HuggingFaceInferenceAPI(model_name='Qwen/Qwen3-32B', num_output=9999, temperature=0.01)
 wikipedia_tools = WikipediaToolSpec().to_tool_list()
 search_tool = FunctionTool.from_defaults(DuckDuckGoSearchToolSpec().duckduckgo_full_search)
 agent = AgentWorkflow.from_tools_or_functions(
@@ -109,6 +109,7 @@ async def run_and_submit_all( profile: gr.OAuthProfile | None):
             submitted_answer = r.response.blocks[0].text
             answers_payload.append({"task_id": task_id, "submitted_answer": submitted_answer})
             results_log.append({"Task ID": task_id, "Question": question_text, "Submitted Answer": submitted_answer})
+            print(f"Successfully processed task ID: {task_id}, Question: {question_text}, Submitted Answer: {submitted_answer}")
         except Exception as e:
              print(f"Error running agent on task {task_id}: {e}")
              results_log.append({"Task ID": task_id, "Question": question_text, "Submitted Answer": f"AGENT ERROR: {e}"})