AI Critical Thinking Activity Creator

from crewai import Agent, Task, Crew, Process
from langchain_groq.chat_models import ChatGroq 
import chainlit as cl

llm = ChatGroq(model_name="groq/llama3-70b-8192")

@cl.on_chat_start
async def on_chat_start():
    
    # Create a classroom with a teacher and 5 students
    teacher = Agent(
        role='Teacher',
        goal='Facilitate the development of critical thinking skills in students.',
        backstory="""You are an experienced teacher focused on fostering critical thinking in your students.
        Your goal is to encourage inquiry, discussion, and debate, helping students analyze information and form reasoned conclusions.
        You enjoy engaging students with thought-provoking questions and scenarios related to {topic}.""",
        verbose=True,
        allow_delegation=False,
        tools=[],
        llm=llm
    )

    instructional_designer = Agent(
        role='InstructionalDesigner',
        goal='Design activities that promote critical thinking skills in {topic}.',
        backstory="""You are an instructional designer who specializes in creating engaging activities that encourage critical thinking.
        You utilize real-world scenarios, debates, and problem-solving exercises related to {topic} to challenge students' thinking processes.
        """,
        verbose=True,
        allow_delegation=False,
        tools=[],
        llm=llm
    )

    evaluator = Agent(
        role='Evaluator',
        goal='Critique activities to enhance their effectiveness in fostering critical thinking.',
        backstory="""You are knowledgeable in educational theories and critical thinking frameworks.
        You assess activities designed for critical thinking related to {topic} and provide recommendations for improvement to make them more effective and engaging.""",
        verbose=True,
        allow_delegation=False,
        tools=[],
        llm=llm
    )

    content_creation = Task(
        description="Generate a list of key concepts related to critical thinking in {topic}.",
        expected_output="A list of 5 to 10 key concepts or skills.",
        agent=teacher,
    )

    activity_design = Task(
        description="Design engaging activities based on the concepts provided by the teacher to promote critical thinking in {topic}.",
        expected_output="A detailed description of activities aimed at developing critical thinking skills.",
        agent=instructional_designer
    )

    activity_evaluation = Task(
        description="Evaluate the activities designed to ensure they effectively promote critical thinking in {topic} and suggest improvements.",
        expected_output="A list of recommendations for improving the activities.",
        agent=evaluator
    )

    activity_improvement = Task(
        description="Revise the activities based on the evaluator's recommendations to enhance their effectiveness in {topic}.",
        expected_output="An improved set of activities promoting critical thinking.",
        agent=instructional_designer
    )

    class_script_creation = Task(
        description="Convert the improved activities into a structured class script for execution focused on {topic}.",
        expected_output="A class script for conducting activities centered on critical thinking.",
        agent=teacher
    )

    crew = Crew(
        agents=[teacher, instructional_designer, evaluator],
        tasks=[content_creation, activity_design, activity_evaluation, activity_improvement, class_script_creation],
        verbose=True,
        process=Process.sequential,
    )    

    cl.user_session.set('crew', crew)

    await cl.Message(content="Welcome to the critical thinking activity creator. Please mention a topic related to critical thinking you'd like to explore.", author="Crew").send()

@cl.on_message
async def main(message: cl.Message):
  
    crew = cl.user_session.get('crew')
    
    question = message.content
    inputs = {'topic': question}
    crew_output = crew.kickoff(inputs=inputs)
   
    for output in crew_output.tasks_output:
        msg = cl.Message(content=output.raw, author=output.agent)
        await msg.send()
        # Send final message
        await msg.update()