Connecting to Anthropic Claude in LangChain - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to import the Anthropic class from langchain.llms.anthropic.

LangChain

from langchain.llms.anthropic import [1]

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

ALangchainAnthropic

BClaude

CAnthropicClient

DAnthropic

Attempts:

3 left

💡 Hint

Common Mistakes

Importing a wrong class name like 'Claude' or 'AnthropicClient'.

Forgetting to import from the correct module path.

You need to import Anthropic to create a client for Anthropic Claude in Langchain.

2fill in blank

medium

Complete the code to create an Anthropic client with the API key stored in the environment variable.

LangChain

client = Anthropic(api_key=[1])

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

Aos.environ['API_KEY']

Bos.getenv('ANTHROPIC_API_KEY')

C'ANTHROPIC_API_KEY'

Dgetenv('ANTHROPIC_KEY')

Attempts:

3 left

💡 Hint

Common Mistakes

Passing the environment variable name as a string instead of its value.

Using the wrong environment variable name.

Use os.getenv('ANTHROPIC_API_KEY') to safely get the API key from environment variables.

3fill in blank

hard

Fix the error in the code to call the Anthropic client to generate text with the prompt.

LangChain

response = client.[1](['Hello, Claude!'])

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

Agenerate

Bcall

Cgenerate_text

Drun

Attempts:

3 left

💡 Hint

Common Mistakes

Using a non-existent method like 'generate_text' or 'run'.

Confusing with other library method names.

The correct method to generate text with the Anthropic client is generate.

4fill in blank

hard

Fill both blanks to create a dictionary comprehension that maps each prompt to its generated text if the prompt length is greater than 5.

LangChain

results = {prompt: client.[1]([prompt]) for prompt in prompts if len(prompt) [2] 5}

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

Agenerate

B>

C<

Drun

Attempts:

3 left

💡 Hint

Common Mistakes

Using the wrong method name or comparison operator.

Confusing '<' with '>' in the condition.

Use generate to get the text and > to filter prompts longer than 5 characters.

5fill in blank

hard

Fill all three blanks to create a dictionary comprehension that maps uppercase prompts to their generated text if the prompt length is less than 10.

LangChain

results = {prompt.[1](): client.[2]([prompt]) for prompt in prompts if len(prompt) [3] 10}

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

Aupper

Bgenerate

C<

Dlower

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'lower' instead of 'upper' for keys.

Using '>' instead of '<' in the condition.

Use upper() to uppercase the prompt keys, generate to get text, and < to filter prompts shorter than 10.