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feat: Add Google Search grounding to GoogleModel - open issue #840#2161

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vjvkrm wants to merge4 commits intopydantic:mainfromvjvkrm:feat/gemini-google-search

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feat: Add Google Search grounding to GoogleModel - open issue #840#2161

vjvkrm wants to merge4 commits intopydantic:mainfromvjvkrm:feat/gemini-google-search

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vjvkrm commentedJul 9, 2025

Closes#840

Description

This pull request implements native Google Search grounding for theGoogleModel, enabling it to answer questions about current events and access real-time information. This provides a direct and intuitive way to leverage one of Gemini's core features within thepydantic-ai framework, resolving the feature request in issue#840.

Key Changes

✨ Feature Implementation:
- Introduced a newenable_google_search: bool parameter to theGoogleModel constructor.
- WhenTrue, the model is configured to automatically use theGoogleSearch tool for grounding.
🧪 Test Coverage:
- Added a new test case test_google_search to tests/models/test_google.py.
- Includes avcrpy cassette to ensure the test runs offline and validates the feature's behavior without needing a live API key during CI/CD runs.
📚 Documentation:
- Updated docs/models/google.md with a new "Grounding with Google Search" section.
- The new documentation includes a clear explanation and a concise code example for users.

vjvkrm added3 commits

July 9, 2025 12:59

add google search

a8ec0c0

add test coverage

18a6fbc

update documentation google search

569bebf

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hyperlint-aibot commentedJul 9, 2025

PR Change Summary

Implemented Google Search grounding in the GoogleModel, enhancing its ability to provide real-time information.

Introduced a new parameterenable_google_search in the GoogleModel constructor.
Added a test case for the Google Search feature to ensure functionality without a live API key.
Updated documentation to include a new section on using Google Search grounding.

Modified Files

docs/models/google.md

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