Rate limiting and authentication in LangChain - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to import the rate limiter from LangChain.

LangChain

from langchain.[1] import RateLimiter

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Alimits

Brate_limit

Cutils

Drate_limiter

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'rate_limit' instead of 'rate_limiter' causes import error.

Using 'utils' imports unrelated utilities.

The RateLimiter class is imported from the rate_limiter module in LangChain.

2fill in blank

medium

Complete the code to create a rate limiter allowing 5 calls per minute.

LangChain

limiter = RateLimiter(max_calls=[1], period=60)

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A10

B5

C60

D1

Attempts:

3 left

💡 Hint

Common Mistakes

Setting max_calls to 60 confuses period with calls.

Setting max_calls to 1 is too restrictive.

The max_calls parameter sets how many calls are allowed in the given period. Here, 5 calls per 60 seconds.

3fill in blank

hard

Fix the error in the authentication header to include the API key.

LangChain

headers = {"Authorization": "Bearer [1]"}

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AAPI_KEY

Bapi_key

CApiKey

Dapikey

Attempts:

3 left

💡 Hint

Common Mistakes

Using lowercase 'api_key' causes undefined variable error.

Using 'apikey' or 'ApiKey' is inconsistent with naming conventions.

The environment variable or constant for the API key is usually uppercase API_KEY.

4fill in blank

hard

Fill both blanks to create a dictionary comprehension that limits calls and checks if the user is authenticated.

LangChain

result = {user: data[1] for user, data in users.items() if data.get('authenticated') [2] True}

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A.limit()

B==

C!=

D.filter()

Attempts:

3 left

💡 Hint

Common Mistakes

Using '.filter()' instead of '.limit()' causes attribute error.

Using '!=' instead of '==' reverses the authentication check.

The .limit() method applies rate limiting on data, and == True checks if the user is authenticated.

5fill in blank

hard

Fill both blanks to create a dictionary comprehension that uppercases user IDs, stores tokens, and filters active users.

LangChain

tokens = {user[1]: data['token'] for user, data in users.items() if data['active'] [2] True}

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A.upper()

C==

D!=

Attempts:

3 left

💡 Hint

Common Mistakes

Using '!=' in the third blank filters inactive users instead.

Adding a dot or method in the second blank causes syntax error.

The user ID is uppercased with .upper(), no extra operation on token (empty string), and active users are filtered with == True.