format

Author: dlarocque

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

@@ -297,11 +297,12 @@ public class FinishReason private constructor(public val name: String, public va
 /**
  * Metadata returned to the client when grounding is enabled.
  *
- * If using Grounding with Google Search, you are required to comply with the
- * "Grounding with Google Search" usage requirements for your chosen API provider: [Gemini Developer
- * API](https://ai.google.dev/gemini-api/terms#grounding-with-google-search) or Vertex AI Gemini API
- * (see [Service Terms](https://cloud.google.com/terms/service-terms) section within the Service
- * Specific Terms).
+ * If using Grounding with Google Search, you are required to comply with the "Grounding with Google
+ * Search" usage requirements for your chosen API provider:
+ * [Gemini Developer
+ * API](https://ai.google.dev/gemini-api/terms#grounding-with-google-search) or
+ * Vertex AI Gemini API (see [Service Terms](https://cloud.google.com/terms/service-terms) section
+ * within the Service Specific Terms).
  *
  * @property webSearchQueries The list of web search queries that the model performed to gather the
  * grounding information. These can be used to allow users to explore the search results themselves.
@@ -347,8 +348,8 @@ public class GroundingMetadata(
 /**
  * Represents a Google Search entry point.
  *
- * @property renderedContent An HTML/CSS snippet that can be embedded in your app.
- * To ensure proper rendering, it's recommended to display this content within a `WebView`.
+ * @property renderedContent An HTML/CSS snippet that can be embedded in your app. To ensure proper
+ * rendering, it's recommended to display this content within a `WebView`.
  * @property sdkBlob A blob of data for the client SDK to render the search entry point.
  */
 public class SearchEntryPoint(
@@ -393,8 +394,8 @@ public class GroundingChunk(
  *
  * @property uri The URI of the retrieved web page.
  * @property title The title of the retrieved web page.
- * @property domain The domain of the original URI from which the content was retrieved.
- * This is only populated when using the Vertex AI Gemini API.
+ * @property domain The domain of the original URI from which the content was retrieved. This is
+ * only populated when using the Vertex AI Gemini API.
  */
 public class WebGroundingChunk(
   public val uri: String?,

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

@@ -22,11 +22,12 @@ import kotlinx.serialization.Serializable
  * A tool that allows the generative model to connect to Google Search to access and incorporate
  * up-to-date information from the web into its responses.
  *
- * When using this feature, you are required to comply with the "Grounding with Google
- * Search" usage requirements for your chosen API provider: [Gemini Developer
- * API](https://ai.google.dev/gemini-api/terms#grounding-with-google-search) or Vertex AI Gemini API
- * (see [Service Terms](https://cloud.google.com/terms/service-terms) section within the Service
- * Specific Terms).
+ * When using this feature, you are required to comply with the "Grounding with Google Search" usage
+ * requirements for your chosen API provider:
+ * [Gemini Developer
+ * API](https://ai.google.dev/gemini-api/terms#grounding-with-google-search) or
+ * Vertex AI Gemini API (see [Service Terms](https://cloud.google.com/terms/service-terms) section
+ * within the Service Specific Terms).
  */
 public class GoogleSearch {
   @Serializable internal class Internal()

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

@@ -60,11 +60,12 @@ internal constructor(
      * Grounding with Google Search can be used to allow the model to connect to Google Search to
      * access and incorporate up-to-date information from the web into it's responses.
      *
-     * When using this feature, you are required to comply with the "Grounding with
-     * Google Search" usage requirements for your chosen API provider: [Gemini Developer
-     * API](https://ai.google.dev/gemini-api/terms#grounding-with-google-search) or Vertex AI Gemini
-     * API (see [Service Terms](https://cloud.google.com/terms/service-terms) section within the
-     * Service Specific Terms).
+     * When using this feature, you are required to comply with the "Grounding with Google Search"
+     * usage requirements for your chosen API provider:
+     * [Gemini Developer
+     * API](https://ai.google.dev/gemini-api/terms#grounding-with-google-search)
+     * or Vertex AI Gemini API (see [Service Terms](https://cloud.google.com/terms/service-terms)
+     * section within the Service Specific Terms).
      *
      * @param googleSearch An empty [GoogleSearch] object. The presence of this object in the list
      * of tools enables the model to use Google Search.