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David Motsonashvili
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Grounding with Google Search -> grounding with Google Search
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firebase-ai/CHANGELOG.md

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- [feature] Added support for configuring the "thinking" budget when using Gemini 2.5 series models.
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(#6990)
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- [feature] **Breaking Change**: Add support for Grounding with Google Search (#7042).
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- [feature] **Breaking Change**: Add support for grounding with Google Search (#7042).
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- **Action Required:** Update all references of `groundingAttributions`, `webSearchQueries`,
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`retrievalQueries` in `GroundingMetadata` to be non-optional.
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- [changed] require at least one argument for `generateContent()`, `generateContentStream()` and

firebase-ai/src/main/kotlin/com/google/firebase/ai/type/Candidate.kt

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/**
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* Metadata returned to the client when grounding is enabled.
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*
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* If using Grounding with Google Search, you are required to comply with the "Grounding with Google
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* If using grounding with Google Search, you are required to comply with the "Grounding with Google
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* Search" usage requirements for your chosen API provider:
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* [Gemini Developer API](https://ai.google.dev/gemini-api/terms#grounding-with-google-search) or
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* Vertex AI Gemini API (see [Service Terms](https://cloud.google.com/terms/service-terms) section

firebase-ai/src/main/kotlin/com/google/firebase/ai/type/GoogleSearch.kt

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* A tool that allows the generative model to connect to Google Search to access and incorporate
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* up-to-date information from the web into its responses.
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*
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* When using this feature, you are required to comply with the "Grounding with Google Search" usage
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* When using this feature, you are required to comply with the "grounding with Google Search" usage
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* requirements for your chosen API provider:
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* [Gemini Developer API](https://ai.google.dev/gemini-api/terms#grounding-with-google-search) or
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* Vertex AI Gemini API (see [Service Terms](https://cloud.google.com/terms/service-terms) section

firebase-ai/src/main/kotlin/com/google/firebase/ai/type/Tool.kt

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}
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/**
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* Creates a [Tool] instance that allows the model to use Grounding with Google Search.
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* Creates a [Tool] instance that allows the model to use grounding with Google Search.
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*
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* Grounding with Google Search can be used to allow the model to connect to Google Search to
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* access and incorporate up-to-date information from the web into it's responses.
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*
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* When using this feature, you are required to comply with the "Grounding with Google Search"
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* When using this feature, you are required to comply with the "grounding with Google Search"
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* usage requirements for your chosen API provider:
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* [Gemini Developer API](https://ai.google.dev/gemini-api/terms#grounding-with-google-search)
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* or Vertex AI Gemini API (see [Service Terms](https://cloud.google.com/terms/service-terms)

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