Structured chat agent in LangChain - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to import the StructuredChatAgent class from langchain.agents.

LangChain

from langchain.agents import [1]

Drag options to blanks, or click blank then click option'

AConversationAgent

BChatAgent

CAgentExecutor

DStructuredChatAgent

Attempts:

3 left

💡 Hint

Common Mistakes

Importing a wrong class name like ChatAgent or AgentExecutor.

Forgetting to import from langchain.agents.

The StructuredChatAgent class is imported from langchain.agents to create structured chat agents.

2fill in blank

medium

Complete the code to create a StructuredChatAgent instance using an llm and a prompt.

LangChain

agent = StructuredChatAgent.from_llm([1], prompt=prompt)

Drag options to blanks, or click blank then click option'

Amodel

Bllm

Cclient

Dchatbot

Attempts:

3 left

💡 Hint

Common Mistakes

Passing a variable named 'model' or 'client' which may not exist.

Passing the prompt instead of the llm.

The from_llm method requires the language model instance, commonly named llm.

3fill in blank

hard

Fix the error in the code to run the agent with input 'Hello'.

LangChain

response = agent.run([1])

Drag options to blanks, or click blank then click option'

A'Hello'

BHello

Cagent_input

Dinput

Attempts:

3 left

💡 Hint

Common Mistakes

Passing Hello without quotes causes a NameError.

Passing variables that are undefined.

The input to agent.run() must be a string, so it needs quotes.

4fill in blank

hard

Fill both blanks to create a prompt template and initialize the agent with it.

LangChain

from langchain.prompts import [1]
prompt = [2].from_template(template=template_str)

Drag options to blanks, or click blank then click option'

AChatPromptTemplate

BPromptTemplate

CStructuredPromptTemplate

DAgentPromptTemplate

Attempts:

3 left

💡 Hint

Common Mistakes

Using PromptTemplate instead of ChatPromptTemplate causes incompatibility.

Importing one class but instantiating another.

The ChatPromptTemplate class is used to create chat prompts for the StructuredChatAgent.

5fill in blank

hard

Fill all three blanks to create a StructuredChatAgent, wrap it in an AgentExecutor, and run it with input 'Hi'.

LangChain

agent = StructuredChatAgent.from_llm([1], prompt=prompt)
executor = AgentExecutor.from_agent_and_tools(agent, [2])
result = executor.run([3])

Drag options to blanks, or click blank then click option'

Allm

Btools

C'Hi'

Dprompt

Attempts:

3 left

💡 Hint

Common Mistakes

Passing the prompt instead of llm in the first blank.

Passing prompt instead of tools in the second blank.

Passing input without quotes in the third blank.

We pass the language model llm to create the agent, the list of tools to the executor, and the input string 'Hi' to run.