PydanticOutputParser for typed objects in LangChain - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to import the PydanticOutputParser from langchain.

LangChain

from langchain.output_parsers import [1]

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APydanticOutputParser

BJsonOutputParser

CRegexParser

DSimpleOutputParser

Attempts:

3 left

💡 Hint

Common Mistakes

Importing a parser that does not handle Pydantic models.

Misspelling the class name.

The PydanticOutputParser is imported from langchain.output_parsers to parse outputs into typed Pydantic models.

2fill in blank

medium

Complete the code to define a Pydantic model named User with a name field of type string.

LangChain

from pydantic import BaseModel

class User([1]):
    name: str

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APydanticModel

BModel

CBaseModel

DDataModel

Attempts:

3 left

💡 Hint

Common Mistakes

Using a wrong base class name.

Forgetting to inherit from any class.

To create a Pydantic model, inherit from BaseModel.

3fill in blank

hard

Fix the error in creating a PydanticOutputParser for the User model.

LangChain

parser = PydanticOutputParser([1]=User)

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Apydantic_object

Bschema

Ctype

Dclass

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'model', 'schema' or 'type' instead of 'pydantic_object'.

Passing an instance instead of the class.

The PydanticOutputParser expects the keyword argument pydantic_object to specify the Pydantic model class.

4fill in blank

hard

Fill both blanks to parse a string output into a User object using the parser.

LangChain

output_str = '{"name": "Alice"}'
user = parser.[1](output_str)
print(user.[2])

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Aparse

Bname

Cparse_raw

Dvalue

Attempts:

3 left

💡 Hint

Common Mistakes

Using parse_raw instead of parse on the parser.

Trying to access a non-existent attribute.

Use parse to parse a JSON string into a Pydantic model instance, then access the name attribute.

5fill in blank

hard

Fill all three blanks to create a PydanticOutputParser, parse output, and print the user's name.

LangChain

from langchain.output_parsers import [1]

class User(BaseModel):
    name: str

parser = [2](pydantic_object=User)
result = parser.[3]('{"name": "Bob"}')
print(result.name)

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APydanticOutputParser

BJsonOutputParser

Cparse

Attempts:

3 left

💡 Hint

Common Mistakes

Using the wrong parser class.

Calling the wrong method to parse the string.

Import PydanticOutputParser, create a parser with the User model, then parse the JSON string with parse.