[VertexAI] Add support for token-based usage metrics (#14406)

FirebaseVertexAI/CHANGELOG.md

@@ -5,6 +5,7 @@
   Note: This feature is in Public Preview, which means that the it is not
   subject to any SLA or deprecation policy and could change in
   backwards-incompatible ways.
+- [feature] Added support for modality-based token count. (#14406)
 
 # 11.6.0
 - [changed] The token counts from `GenerativeModel.countTokens(...)` now include

FirebaseVertexAI/Sources/CountTokensRequest.swift

@@ -46,6 +46,9 @@ public struct CountTokensResponse {
   /// > Important: This does not include billable image, video or other non-text input. See
   /// [Vertex AI pricing](https://cloud.google.com/vertex-ai/generative-ai/pricing) for details.
   public let totalBillableCharacters: Int?
+
+  /// The breakdown, by modality, of how many tokens are consumed by the prompt.
+  public let promptTokensDetails: [ModalityTokenCount]
 }
 
 // MARK: - Codable Conformances

FirebaseVertexAI/Sources/GenerateContentResponse.swift

@@ -28,6 +28,12 @@ public struct GenerateContentResponse: Sendable {
 
     /// The total number of tokens in both the request and response.
     public let totalTokenCount: Int
+
+    /// The breakdown, by modality, of how many tokens are consumed by the prompt
+    public let promptTokensDetails: [ModalityTokenCount]
+
+    /// The breakdown, by modality, of how many tokens are consumed by the candidates
+    public let candidatesTokensDetails: [ModalityTokenCount]
   }
 
   /// A list of candidate response content, ordered from best to worst.
@@ -299,6 +305,8 @@ extension GenerateContentResponse.UsageMetadata: Decodable {
     case promptTokenCount
     case candidatesTokenCount
     case totalTokenCount
+    case promptTokensDetails
+    case candidatesTokensDetails
   }
 
   public init(from decoder: any Decoder) throws {
@@ -307,6 +315,12 @@ extension GenerateContentResponse.UsageMetadata: Decodable {
     candidatesTokenCount = try container
       .decodeIfPresent(Int.self, forKey: .candidatesTokenCount) ?? 0
     totalTokenCount = try container.decodeIfPresent(Int.self, forKey: .totalTokenCount) ?? 0
+    promptTokensDetails = try container
+      .decodeIfPresent([ModalityTokenCount].self, forKey: .promptTokensDetails) ??
+      [ModalityTokenCount]()
+    candidatesTokensDetails = try container
+      .decodeIfPresent([ModalityTokenCount].self, forKey: .candidatesTokensDetails) ??
+      [ModalityTokenCount]()
   }
 }
 

FirebaseVertexAI/Sources/ModalityTokenCount.swift

@@ -0,0 +1,61 @@
+// Copyright 2025 Google LLC
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//      http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+import Foundation
+
+/// Represents token counting info for a single modality.
+@available(iOS 15.0, macOS 12.0, macCatalyst 15.0, tvOS 15.0, watchOS 8.0, *)
+public struct ModalityTokenCount: Sendable {
+  /// The modality associated with this token count.
+  public let modality: ContentModality
+
+  /// The number of tokens counted.
+  public let tokenCount: Int
+}
+
+/// Content part modality.
+@available(iOS 15.0, macOS 12.0, macCatalyst 15.0, tvOS 15.0, watchOS 8.0, *)
+public struct ContentModality: DecodableProtoEnum, Hashable, Sendable {
+  enum Kind: String {
+    case text = "TEXT"
+    case image = "IMAGE"
+    case video = "VIDEO"
+    case audio = "AUDIO"
+    case document = "DOCUMENT"
+  }
+
+  /// Plain text.
+  public static let text = ContentModality(kind: .text)
+
+  /// Image.
+  public static let image = ContentModality(kind: .image)
+
+  /// Video.
+  public static let video = ContentModality(kind: .video)
+
+  /// Audio.
+  public static let audio = ContentModality(kind: .audio)
+
+  /// Document, e.g. PDF.
+  public static let document = ContentModality(kind: .document)
+
+  /// Returns the raw string representation of the `ContentModality` value.
+  public let rawValue: String
+
+  static let unrecognizedValueMessageCode =
+    VertexLog.MessageCode.generateContentResponseUnrecognizedContentModality
+}
+
+@available(iOS 15.0, macOS 12.0, macCatalyst 15.0, tvOS 15.0, watchOS 8.0, *)
+extension ModalityTokenCount: Decodable {}

FirebaseVertexAI/Sources/VertexLog.swift

@@ -57,6 +57,7 @@ enum VertexLog {
     case decodedInvalidProtoDateMonth = 3009
     case decodedInvalidProtoDateDay = 3010
     case decodedInvalidCitationPublicationDate = 3011
+    case generateContentResponseUnrecognizedContentModality = 3012
 
     // SDK State Errors
     case generateContentResponseNoCandidates = 4000

FirebaseVertexAI/Tests/Unit/GenerativeModelTests.swift

@@ -128,6 +128,30 @@ final class GenerativeModelTests: XCTestCase {
     XCTAssertEqual(response.functionCalls, [])
   }
 
+  func testGenerateContent_success_basicReplyFullUsageMetadata() async throws {
+    MockURLProtocol
+      .requestHandler = try httpRequestHandler(
+        forResource: "unary-success-basic-response-long-usage-metadata",
+        withExtension: "json"
+      )
+
+    let response = try await model.generateContent(testPrompt)
+
+    XCTAssertEqual(response.candidates.count, 1)
+    let candidate = try XCTUnwrap(response.candidates.first)
+    let finishReason = try XCTUnwrap(candidate.finishReason)
+    XCTAssertEqual(finishReason, .stop)
+    let usageMetadata = try XCTUnwrap(response.usageMetadata)
+    XCTAssertEqual(usageMetadata.promptTokensDetails.count, 2)
+    XCTAssertEqual(usageMetadata.promptTokensDetails[0].modality, .image)
+    XCTAssertEqual(usageMetadata.promptTokensDetails[0].tokenCount, 1806)
+    XCTAssertEqual(usageMetadata.promptTokensDetails[1].modality, .text)
+    XCTAssertEqual(usageMetadata.promptTokensDetails[1].tokenCount, 76)
+    XCTAssertEqual(usageMetadata.candidatesTokensDetails.count, 1)
+    XCTAssertEqual(usageMetadata.candidatesTokensDetails[0].modality, .text)
+    XCTAssertEqual(usageMetadata.candidatesTokensDetails[0].tokenCount, 76)
+  }
+
   func testGenerateContent_success_citations() async throws {
     MockURLProtocol
       .requestHandler = try httpRequestHandler(
@@ -488,6 +512,8 @@ final class GenerativeModelTests: XCTestCase {
     XCTAssertEqual(usageMetadata.promptTokenCount, 6)
     XCTAssertEqual(usageMetadata.candidatesTokenCount, 7)
     XCTAssertEqual(usageMetadata.totalTokenCount, 13)
+    XCTAssertEqual(usageMetadata.promptTokensDetails.isEmpty, true)
+    XCTAssertEqual(usageMetadata.candidatesTokensDetails.isEmpty, true)
   }
 
   func testGenerateContent_failure_invalidAPIKey() async throws {
@@ -1326,6 +1352,23 @@ final class GenerativeModelTests: XCTestCase {
     XCTAssertEqual(response.totalBillableCharacters, 16)
   }
 
+  func testCountTokens_succeeds_detailed() async throws {
+    MockURLProtocol.requestHandler = try httpRequestHandler(
+      forResource: "unary-success-detailed-token-response",
+      withExtension: "json"
+    )
+
+    let response = try await model.countTokens("Why is the sky blue?")
+
+    XCTAssertEqual(response.totalTokens, 1837)
+    XCTAssertEqual(response.totalBillableCharacters, 117)
+    XCTAssertEqual(response.promptTokensDetails.count, 2)
+    XCTAssertEqual(response.promptTokensDetails[0].modality, .image)
+    XCTAssertEqual(response.promptTokensDetails[0].tokenCount, 1806)
+    XCTAssertEqual(response.promptTokensDetails[1].modality, .text)
+    XCTAssertEqual(response.promptTokensDetails[1].tokenCount, 31)
+  }
+
   func testCountTokens_succeeds_allOptions() async throws {
     MockURLProtocol.requestHandler = try httpRequestHandler(
       forResource: "unary-success-total-tokens",