Url Context

[Giom-V]

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Summary of Changes

Hello @Giom-V, 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 introduces and integrates the new "URL context" tool into the Gemini API Cookbook, specifically within the Grounding.ipynb quickstart guide. This enhancement allows Gemini models to directly process and leverage content from various online sources like web pages, PDFs, and images by simply providing their URLs, thereby enriching the model's understanding and response generation.

Highlights

• New URL Context Tool Integration: The Grounding.ipynb notebook now features comprehensive demonstrations of how to use the url_context tool. This includes examples for grounding Gemini models with content from website URLs, PDF URLs, and image URLs, significantly expanding the model's ability to incorporate external, live information.
• Enhanced Grounding Notebook: The quickstarts/Grounding.ipynb notebook has undergone substantial updates. These include the addition of internal anchor links for easier navigation between different grounding methods (Google Search, YouTube, and the new URL context), streamlined SDK setup instructions, updated model references to the latest Gemini 2.5 variants, and refreshed example outputs to reflect current model behavior and capabilities.
• Documentation Update: The README.md file has been modified to highlight the newly introduced "url context" tool within the "Recently Added Guides" section, ensuring visibility and discoverability for users exploring grounding techniques. A minor formatting adjustment was also made.

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[gemini-code-assist]

Code Review

This pull request introduces extensive examples for the new url_context tool in the Grounding.ipynb notebook, demonstrating how to ground Gemini's responses using websites, PDFs, and images. The changes are well-structured and provide valuable examples of combining url_context with other features like JSON mode and Google Search. The README.md file is also updated to reflect this new capability. My review includes a couple of suggestions to ensure the notebook aligns with the repository's style guide and Python best practices.