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Prompt Engineering / GenAIml~10 mins

Agent architecture (observe, think, act) in Prompt Engineering / GenAI - Interactive Code Practice

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Practice - 5 Tasks
Answer the questions below
1fill in blank
easy

Complete the code to make the agent observe its environment.

Prompt Engineering / GenAI
observation = environment.[1]()
Drag options to blanks, or click blank then click option'
Aobserve
Bact
Cthink
Ddecide
Attempts:
3 left
💡 Hint
Common Mistakes
Using 'act' instead of 'observe' to get information.
2fill in blank
medium

Complete the code to make the agent think and decide the next action.

Prompt Engineering / GenAI
action = agent.[1](observation)
Drag options to blanks, or click blank then click option'
Aobserve
Bmove
Cthink
Dact
Attempts:
3 left
💡 Hint
Common Mistakes
Using 'act' instead of 'think' to decide the next step.
3fill in blank
hard

Fix the error in the code to make the agent perform the action.

Prompt Engineering / GenAI
environment.[1](action)
Drag options to blanks, or click blank then click option'
Athink
Bact
Cobserve
Ddecide
Attempts:
3 left
💡 Hint
Common Mistakes
Using 'think' or 'observe' instead of 'act' to perform actions.
4fill in blank
hard

Fill both blanks to complete the agent's main loop for observe and act.

Prompt Engineering / GenAI
while True:
    observation = environment.[1]()
    action = agent.[2](observation)
Drag options to blanks, or click blank then click option'
Aobserve
Bthink
Cact
Ddecide
Attempts:
3 left
💡 Hint
Common Mistakes
Swapping the order of observe and think methods.
5fill in blank
hard

Fill all three blanks to complete the agent's full cycle: observe, think, and act.

Prompt Engineering / GenAI
while True:
    observation = environment.[1]()
    action = agent.[2](observation)
    environment.[3](action)
Drag options to blanks, or click blank then click option'
Aobserve
Bthink
Cact
Ddecide
Attempts:
3 left
💡 Hint
Common Mistakes
Mixing up the order of observe, think, and act.

Practice

(1/5)
1. Which of the following best describes the observe step in an agent architecture?
easy
A. Collecting information from the environment
B. Making decisions based on data
C. Performing actions to change the environment
D. Storing past experiences for learning

Solution

  1. Step 1: Understand the role of observation

    The observe step is about gathering data or signals from the environment around the agent.
  2. Step 2: Differentiate from other steps

    Thinking is about decision-making, and acting is about doing something. Observation is just about sensing.
  3. Final Answer:

    Collecting information from the environment -> Option A
  4. Quick Check:

    Observe = Collect data [OK]
Hint: Observe means sensing or collecting data first [OK]
Common Mistakes:
  • Confusing observe with think or act
  • Thinking observe means acting
  • Mixing observe with storing data
2. Which of the following is the correct order of steps in a simple agent architecture?
easy
A. Act, Think, Observe
B. Think, Observe, Act
C. Think, Act, Observe
D. Observe, Think, Act

Solution

  1. Step 1: Recall the agent cycle

    The agent first observes the environment, then thinks (decides), and finally acts.
  2. Step 2: Match the sequence

    Only the sequence Observe, Think, Act matches the correct order of operations.
  3. Final Answer:

    Observe, Think, Act -> Option D
  4. Quick Check:

    Order = Observe, Think, Act [OK]
Hint: Remember: Sense first, then decide, then do [OK]
Common Mistakes:
  • Mixing up the order of steps
  • Starting with act before observe
  • Confusing think and observe order
3. Consider this simple Python agent code snippet:
class Agent:
    def observe(self, data):
        self.data = data
    def think(self):
        return self.data * 2
    def act(self, result):
        print(f"Action: {result}")

agent = Agent()
agent.observe(5)
result = agent.think()
agent.act(result)

What will be printed when this code runs?
medium
A. No output, error occurs
B. Action: 10
C. Action: 25
D. Action: 5

Solution

  1. Step 1: Follow the observe method

    The agent observes the value 5 and stores it in self.data.
  2. Step 2: Follow the think method

    The think method returns self.data * 2, which is 5 * 2 = 10.
  3. Step 3: Follow the act method

    The act method prints "Action: 10" using the result from think.
  4. Final Answer:

    Action: 10 -> Option B
  5. Quick Check:

    5 * 2 = 10 printed [OK]
Hint: Multiply observed data by 2, then print [OK]
Common Mistakes:
  • Confusing observe data with result
  • Forgetting to multiply by 2
  • Expecting no output or error
4. This agent code has a bug:
class Agent:
    def observe(self, data):
        self.data = data
    def think(self):
        return self.data + 1
    def act(self, result):
        print(f"Action: {result}")

agent = Agent()
result = agent.think()
agent.act(result)

What is the error and how to fix it?
medium
A. Error: self.data not set before think; fix by calling observe first
B. Error: act method missing return; fix by adding return statement
C. Error: observe method has wrong parameter; fix by renaming parameter
D. No error; code runs fine

Solution

  1. Step 1: Identify missing observe call

    The code calls think before observe, so self.data is not set.
  2. Step 2: Understand consequence

    Calling think tries to use self.data which does not exist, causing an error.
  3. Step 3: Fix by calling observe first

    Call agent.observe(some_value) before think to set self.data properly.
  4. Final Answer:

    Error: self.data not set before think; fix by calling observe first -> Option A
  5. Quick Check:

    Observe must run before think [OK]
Hint: Always observe before think to set data [OK]
Common Mistakes:
  • Ignoring the missing observe call
  • Thinking act needs return
  • Confusing parameter names
5. You want to build an agent that observes temperature, thinks if it's too hot (>30°C), and acts by turning on a fan. Which code snippet correctly implements the think method?
hard
A. def think(self): return self.data == 30
B. def think(self): if self.data < 30: return True else: return False
C. def think(self): return self.data > 30
D. def think(self): return self.data * 30

Solution

  1. Step 1: Understand the condition for action

    The agent should act if temperature is greater than 30°C, so think returns True if data > 30.
  2. Step 2: Check each option

    def think(self): return self.data > 30 returns True if data > 30, matching the requirement. Others do not correctly check this condition.
  3. Final Answer:

    def think(self): return self.data > 30 -> Option C
  4. Quick Check:

    Think returns True if hot (>30) [OK]
Hint: Think returns True if temperature > 30 [OK]
Common Mistakes:
  • Using wrong comparison operators
  • Returning True for less than 30
  • Multiplying data instead of comparing