Update crew.py

crew.py

@@ -22,45 +22,52 @@ def get_crew():
     search_tool = SerperDevTool()
     web_rag_tool = WebsiteSearchTool()
     
-    researcher = Agent(
+    research_agent = Agent(
         role="Web Research Agent",
-        goal="Search the web for topic {topic} and scrape the most relevant web page.",
-        backstory="As an expert web research assistant, you are search the web for topic {topic} and scraping the most relevant web page.",
+        goal="Search the web for topic \"{topic}\" and scrape the most relevant web page.",
+        backstory="As an expert web research assistant, you are searching the web for topic \"{topic}\" and scraping the most relevant web page.",
         tools=[search_tool, web_rag_tool],
         verbose=True
     )
+
+    answer_agent = Agent(
+        role="Final Answer Agent",
+        goal="Provide the final answer on topic \"{topic}\".",
+        backstory="As an expert answer assistant, you are providing the final answer on topic \"{topic}\".",
+        tools=[final_answer_tool],
+        verbose=True
+    )
     
     research = Task(
-        agent=researcher,
-        description="Search the web for topic {topic} and scrape the most relevant web page.",
-        expected_output="Content on topic {topic}."
+        agent=research_agent,
+        description="Search the web for topic \"{topic}\" and scrape the most relevant web page.",
+        expected_output="Content on topic \"{topic}\"."
     )
 
-    final_answer = Task(
-        agent=researcher,
-        description="Given topic {topic} and an initial answer, get the final answer.",
-        expected_output="The final answer to topic {topic}."
+    answer = Task(
+        agent=answer_agent,
+        description="Given topic \"{topic}\" and an initial answer, get the final answer.",
+        expected_output="The final answer to topic \"{topic}\"."
     )
     
     return Crew(
-        agents=[researcher],
-        tasks=[research, final_answer],
+        agents=[research_agent, answer_agent],
+        tasks=[research, answer],
         planning=True,
-        process = Process.sequential,
         verbose=True
     )
 
-@tool("Final answer tool")
-def final_answer_tool(question: str, answer: str) -> str:
-    """Given a question and initial answer, get the final answer."""
+@tool("Final answer")
+def final_answer(question: str, answer: str) -> str:
+    """Given a question and initial answer, provide the final answer."""
     prompt_template = """
-        You are given a question and context. You must **precisely** answer the question based on the context. Do not include explanations, steps, reasoning, or additional text.
+        You are given a question and initial answer. You must **precisely** answer the question based on the initial answer. Do not include explanations, steps, reasoning, or additional text.
         **Question:** """ + question + """
-        **Context:** """ + answer + """
+        **Initial answer:** """ + answer + """
         **Example 1:** What is the capital of France? Paris
         **Example 2:** What is the superlative of good? Best
         **Example 3:** What is the opposite of left? Right
-        **Answer:**:
+        **Final answer:**:
         """
 
     client = OpenAI()