Update app.py

app.py

@@ -14,7 +14,7 @@ load_dotenv()
 DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
 
 
-OPENAI_TOKEN = os.getenv("OPENAPI_KEY")
+OPENAI_TOKEN = os.getenv("OPENAI_API_KEY")
 
 # --- Basic Agent Definition ---
 # ----- THIS IS WERE YOU CAN BUILD WHAT YOU WANT ------
@@ -26,7 +26,10 @@ class SlpMultiAgent:
         fixed_answer = "This is a default answer."
         print(f"Agent returning fixed answer: {fixed_answer}")
         
-# Increase max_tokens to allow for complete responses
+# Truncate question to avoid exceeding model context length
+        MAX_QUESTION_LENGTH = 1000
+        short_question = question[:MAX_QUESTION_LENGTH]
+        
         model = OpenAIServerModel(
             model_id="gpt-3.5-turbo", 
             temperature=0.0, 
@@ -57,7 +60,7 @@ class SlpMultiAgent:
                 max_steps=15,
                 final_answer_checks=[check_reasoning]
                 )
-        manager_agent.run("""
+        manager_agent.run(f"""
         You are a question answering agent. That specializes in complex questions that require multiple steps to answer.
         Take a few steps and think about the question before answering.
         You can use the tools available to you, but you should not use them unless necessary.
@@ -69,7 +72,7 @@ class SlpMultiAgent:
 
         Never try to process strings using code: when you have a string to read, just print it and you'll see it.
                         
-        Here is the question: {question}
+        Here is the question: {short_question}
         Thoughts: [your reasoning about how to solve the problem]
         Code:
         ```py