docs: fix query for langchain pre and post processing docs

[twishabansal]

Description

Should include a concise description of the changes (bug or feature), it's
impact, along with a summary of the solution

PR Checklist

Thank you for opening a Pull Request! Before submitting your PR, there are a
few things you can do to make sure it goes smoothly:

• Make sure you reviewed
  CONTRIBUTING.md
• Make sure to open an issue as a
  bug/issue
  before writing your code! That way we can discuss the change, evaluate
  designs, and agree on the general idea
• Ensure the tests and linter pass
• Code coverage does not decrease (if any source code was changed)
• Appropriate docs were updated (if necessary)
• Make sure to add ! if this involve a breaking change

🛠️ Fixes #<issue_number_goes_here>

[gemini-code-assist]

Summary of Changes

Hello @twishabansal, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request addresses an issue in the documentation examples for Langchain's pre and post-processing functionalities. It updates the user_input strings in the agent.py sample to provide accurate and functional queries, thereby improving the clarity and correctness of the documentation.

Highlights

• Documentation Example Fix: Corrected example user_input queries within the langchain/agent.py documentation sample to ensure accuracy for pre and post-processing tests.
• Post-processing Test Query: Modified the user_input string for the post-processing test to "Book hotel with id 3.".
• Pre-processing Test Query: Adjusted the user_input string for the pre-processing test, specifically changing the checkout date to "2025-02-20.".

Changelog

• docs/en/samples/pre_post_processing/python/langchain/agent.py
  • Updated the user_input string for the post-processing test.
  • Updated the user_input string for the pre-processing test, specifically changing the checkout date.

Using Gemini Code Assist

The full guide for Gemini Code Assist can be found on our documentation page, here are some quick tips.

Invoking Gemini

You can request assistance from Gemini at any point by creating a comment using either /gemini <command> or @gemini-code-assist <command>. Below is a summary of the supported commands on the current page.

Feature	Command	Description
Code Review	/gemini review	Performs a code review for the current pull request in its current state.
Pull Request Summary	/gemini summary	Provides a summary of the current pull request in its current state.
Comment	@gemini-code-assist	Responds in comments when explicitly tagged, both in pull request comments and review comments.
Help	/gemini help	Displays a list of available commands.

Customization

To customize Gemini Code Assist for GitHub experience, repository maintainers can create a configuration file and/or provide a custom code review style guide (such as PEP-8 for Python) by creating and adding files to a .gemini/ folder in the base of the repository. Detailed instructions can be found here.

Limitations & Feedback

Gemini Code Assist may make mistakes. Please leave feedback on any instances where its feedback is incorrect or counter productive. You can react with 👍 and 👎 on @gemini-code-assist comments. If you're interested in giving your feedback about your experience with Gemini Code Assist for Github and other Google products, sign up here.

You can also get AI-powered code generation, chat, as well as code reviews directly in the IDE at no cost with the Gemini Code Assist IDE Extension.

Footnotes

1. Review the Privacy Notices, Generative AI Prohibited Use Policy, Terms of Service, and learn how to configure Gemini Code Assist in GitHub here. Gemini can make mistakes, so double check it and use code with caution. ↩

[gemini-code-assist]

Code Review

This pull request correctly fixes an example query in the LangChain pre- and post-processing documentation. The updated user input for the hotel update scenario now has a stay duration exceeding the 14-day limit, which correctly triggers the enforce_business_rules pre-processing middleware. This ensures the example effectively demonstrates the business logic validation. Additionally, a new comment clarifies the part of the script that tests post-processing. The changes improve the clarity and correctness of the documentation example, and I have no further suggestions for improvement.

[github-actions]

🔎 Preview at https://googleapis.github.io/genai-toolbox/previews/PR-2533/

[github-actions]

🔎 Preview at https://googleapis.github.io/genai-toolbox/previews/PR-2533/

[github-actions]

🔎 Preview at https://googleapis.github.io/genai-toolbox/previews/PR-2533/

[github-actions]

🧨 Preview deployments removed.