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[Team] Existing content development teams 2
[Title] EnumOutputParser
[Version] initial
[Language] ENG
[Package] langchain, langchain-openai

LangChain EnumOutputParser Tutorial

  • Explained the concept and use cases of EnumOutputParser in LangChain.
  • Created an example using a custom Enum.
  • Showed how to parse LLM responses strictly to predefined Enum values.

hohosznta
hohosznta previously approved these changes Dec 31, 2024
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좋습니다!

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@Jae-hoya Jae-hoya left a comment

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좋아요!

@Jae-hoya Jae-hoya self-requested a review December 31, 2024 17:03
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Review OS(Windows/Mac/Linux): Win
Template Rule 가이드를 준수 하였는가(YES/NO): NO
Table of Contents 의 링크가 원활하게 동작하는지 확인하였는가?(YES/NO): YES
import 구문이 예전 legacy 방식이 아닌 최신 버전을 따르는가?(YES/NO): YES
모든 코드가 동작에 오류 없이 동작하는가? (만약, warning 발생시 코멘트에 적어주세요): YES
기타 의견:
1.
load_dotenv()에 overide를 추가해 주어야 할 것 같습니다.
load_dotenv(override=True) 이렇게요! 윈도우에서는 안그러면 오류가 나네요.
아마도 apikey를 불러오지 못해서 그런거 같아요!
2. 제목 template가 바뀌었습니다. 제목을 [E-2] / 03-OutputParser / 07-EnumOutputParser.ipynb으로 바꿔주세요.

[E-2] 03-OutputParser / 07-EnumOutputParser

- Added `override=True` to `load_dotenv()` to ensure environment variables are properly loaded on Windows.
- Changed shell-based pip installation (`!pip`) to line-magic-based installation (`%pip`) for improved compatibility in Jupyter notebooks.
Jae-hoya
Jae-hoya previously approved these changes Jan 2, 2025
@teddylee777 teddylee777 requested a review from sirena1 January 2, 2025 04:45
sirena1
sirena1 previously approved these changes Jan 2, 2025
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[Review]

  1. Review OS(Windows/Mac/Linux): Windows
  2. Template Rule 가이드를 준수 하였는가(YES/NO): YES
  3. Table of Contents 의 링크가 원활하게 동작하는지 확인하였는가?(YES/NO): YES
  4. 이미지가 포함되어 있다면, 이미지의 파일명이 가이드를 준수하였는가?(YES/NO):YES
  5. import 구문이 예전 legacy 방식이 아닌 최신 버전을 따르는가?(YES/NO):YES
  6. 모든 코드가 동작에 오류 없이 동작하는가? (만약, warning 발생시 코멘트에 적어주세요):YES
  7. 기타 의견: -

@ranian963 ranian963 dismissed stale reviews from sirena1 and Jae-hoya January 2, 2025 17:12

The merge-base changed after approval.

@teddylee777 teddylee777 merged commit 4f55e98 into LangChain-OpenTutorial:main Jan 3, 2025
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5 participants