[Firebase AI] Rename internal APIConfig enums

FirebaseAI/Sources/FirebaseAI.swift

@@ -42,7 +42,7 @@ public final class FirebaseAI: Sendable {
     )
     // Verify that the `FirebaseAI` instance is always configured with the production endpoint since
     // this is the public API surface for creating an instance.
-    assert(instance.apiConfig.service.endpoint == .firebaseVertexAIProd)
+    assert(instance.apiConfig.service.endpoint == .firebaseProxyProd)
     assert(instance.apiConfig.version == .v1beta)
     return instance
   }
@@ -150,7 +150,7 @@ public final class FirebaseAI: Sendable {
   let location: String?
 
   static let defaultVertexAIAPIConfig = APIConfig(
-    service: .vertexAI(endpoint: .firebaseVertexAIProd),
+    service: .vertexAI(endpoint: .firebaseProxyProd),
     version: .v1beta
   )
 
@@ -209,7 +209,7 @@ public final class FirebaseAI: Sendable {
     switch apiConfig.service {
     case .vertexAI:
       return vertexAIModelResourceName(modelName: modelName)
-    case .developer:
+    case .googleAI:
       return developerModelResourceName(modelName: modelName)
     }
   }
@@ -233,10 +233,10 @@ public final class FirebaseAI: Sendable {
 
   private func developerModelResourceName(modelName: String) -> String {
     switch apiConfig.service.endpoint {
-    case .firebaseVertexAIStaging, .firebaseVertexAIProd:
+    case .firebaseProxyStaging, .firebaseProxyProd:
       let projectID = firebaseInfo.projectID
       return "projects/\(projectID)/models/\(modelName)"
-    case .generativeLanguage:
+    case .googleAIBypassProxy:
       return "models/\(modelName)"
     }
   }

FirebaseAI/Sources/GenerativeModel.swift

@@ -277,7 +277,7 @@ public final class GenerativeModel: Sendable {
     let requestContent = switch apiConfig.service {
     case .vertexAI:
       content
-    case .developer:
+    case .googleAI:
       // The `role` defaults to "user" but is ignored in `countTokens`. However, it is erroneously
       // erroneously counted towards the prompt and total token count when using the Developer API
       // backend; set to `nil` to avoid token count discrepancies between `countTokens` and
@@ -290,10 +290,10 @@ public final class GenerativeModel: Sendable {
     // "models/model-name". This field is unaltered by the Firebase backend before forwarding the
     // request to the Generative Language backend, which expects the form "models/model-name".
     let generateContentRequestModelResourceName = switch apiConfig.service {
-    case .vertexAI, .developer(endpoint: .generativeLanguage):
+    case .vertexAI, .googleAI(endpoint: .googleAIBypassProxy):
       modelResourceName
-    case .developer(endpoint: .firebaseVertexAIProd),
-         .developer(endpoint: .firebaseVertexAIStaging):
+    case .googleAI(endpoint: .firebaseProxyProd),
+         .googleAI(endpoint: .firebaseProxyStaging):
       "models/\(modelName)"
     }
 

FirebaseAI/Sources/Types/Internal/APIConfig.swift

@@ -13,7 +13,7 @@
 // limitations under the License.
 
 /// Configuration for the generative AI backend API used by this SDK.
-struct APIConfig: Sendable, Hashable {
+struct APIConfig: Sendable, Hashable, Encodable {
   /// The service to use for generative AI.
   ///
   /// This controls which backend API is used by the SDK.
@@ -39,7 +39,7 @@ extension APIConfig {
   /// See [Vertex AI and Google AI
   /// differences](https://cloud.google.com/vertex-ai/generative-ai/docs/overview#how-gemini-vertex-different-gemini-aistudio)
   /// for a comparison of the two [API services](https://google.aip.dev/9#api-service).
-  enum Service: Hashable {
+  enum Service: Hashable, Encodable {
     /// The Gemini Enterprise API provided by Vertex AI.
     ///
     /// See the [Cloud
@@ -50,7 +50,7 @@ extension APIConfig {
     /// The Gemini Developer API provided by Google AI.
     ///
     /// See the [Google AI docs](https://ai.google.dev/gemini-api/docs) for more details.
-    case developer(endpoint: Endpoint)
+    case googleAI(endpoint: Endpoint)
 
     /// The specific network address to use for API requests.
     ///
@@ -59,7 +59,7 @@ extension APIConfig {
       switch self {
       case let .vertexAI(endpoint: endpoint):
         return endpoint
-      case let .developer(endpoint: endpoint):
+      case let .googleAI(endpoint: endpoint):
         return endpoint
       }
     }
@@ -68,21 +68,30 @@ extension APIConfig {
 
 extension APIConfig.Service {
   /// Network addresses for generative AI API services.
-  enum Endpoint: String {
-    /// The Firebase AI SDK production endpoint.
-    case firebaseVertexAIProd = "https://firebasevertexai.googleapis.com"
+  enum Endpoint: String, Encodable {
+    /// The Firebase proxy production endpoint.
+    ///
+    /// This endpoint supports both Google AI and Vertex AI.
+    case firebaseProxyProd = "https://firebasevertexai.googleapis.com"
 
-    /// The Firebase AI SDK staging endpoint; for SDK development and testing only.
-    case firebaseVertexAIStaging = "https://staging-firebasevertexai.sandbox.googleapis.com"
+    /// The Firebase proxy staging endpoint; for SDK development and testing only.
+    ///
+    /// This endpoint supports both the Gemini Developer API (commonly referred to as Google AI)
+    /// and the Gemini API in Vertex AI (commonly referred to simply as Vertex AI).
+    case firebaseProxyStaging = "https://staging-firebasevertexai.sandbox.googleapis.com"
 
-    /// The Gemini Developer API production endpoint; for SDK development and testing only.
-    case generativeLanguage = "https://generativelanguage.googleapis.com"
+    /// The Gemini Developer API (Google AI) direct production endpoint; for SDK development and
+    /// testing only.
+    ///
+    /// This bypasses the Firebase proxy and directly connects to the Gemini Developer API
+    /// (Google AI) backend. This endpoint only supports the Gemini Developer API, not Vertex AI.
+    case googleAIBypassProxy = "https://generativelanguage.googleapis.com"
   }
 }
 
 extension APIConfig {
   /// Versions of the configured API service (`APIConfig.Service`).
-  enum Version: String {
+  enum Version: String, Encodable {
     /// The stable channel for version 1 of the API.
     case v1
 

FirebaseAI/Sources/Types/Internal/Requests/CountTokensRequest.swift

@@ -71,7 +71,7 @@ extension CountTokensRequest: Encodable {
     switch apiConfig.service {
     case .vertexAI:
       try encodeForVertexAI(to: encoder)
-    case .developer:
+    case .googleAI:
       try encodeForDeveloper(to: encoder)
     }
   }

FirebaseAI/Sources/Types/Public/Backend.swift

@@ -25,15 +25,15 @@ public struct Backend {
   ///     for a list of supported locations.
   public static func vertexAI(location: String = "us-central1") -> Backend {
     return Backend(
-      apiConfig: APIConfig(service: .vertexAI(endpoint: .firebaseVertexAIProd), version: .v1beta),
+      apiConfig: APIConfig(service: .vertexAI(endpoint: .firebaseProxyProd), version: .v1beta),
       location: location
     )
   }
 
   /// Initializes a `Backend` configured for the Google Developer API.
   public static func googleAI() -> Backend {
     return Backend(
-      apiConfig: APIConfig(service: .developer(endpoint: .firebaseVertexAIProd), version: .v1beta),
+      apiConfig: APIConfig(service: .googleAI(endpoint: .firebaseProxyProd), version: .v1beta),
       location: nil
     )
   }

FirebaseAI/Tests/TestApp/Tests/Integration/CountTokensIntegrationTests.swift

@@ -60,7 +60,7 @@ struct CountTokensIntegrationTests {
     switch config.apiConfig.service {
     case .vertexAI:
       #expect(response.totalBillableCharacters == 16)
-    case .developer:
+    case .googleAI:
       #expect(response.totalBillableCharacters == nil)
     }
     #expect(response.promptTokensDetails.count == 1)
@@ -71,7 +71,7 @@ struct CountTokensIntegrationTests {
 
   @Test(
     /* System instructions are not supported on the v1 Developer API. */
-    arguments: InstanceConfig.allConfigsExceptDeveloperV1
+    arguments: InstanceConfig.allConfigsExceptGoogleAI_v1
   )
   func countTokens_text_systemInstruction(_ config: InstanceConfig) async throws {
     let model = FirebaseAI.componentInstance(config).generativeModel(
@@ -87,7 +87,7 @@ struct CountTokensIntegrationTests {
     switch config.apiConfig.service {
     case .vertexAI:
       #expect(response.totalBillableCharacters == 61)
-    case .developer:
+    case .googleAI:
       #expect(response.totalBillableCharacters == nil)
     }
     #expect(response.promptTokensDetails.count == 1)
@@ -98,7 +98,7 @@ struct CountTokensIntegrationTests {
 
   @Test(arguments: [
     /* System instructions are not supported on the v1 Developer API. */
-    InstanceConfig.developerV1Spark,
+    InstanceConfig.googleAI_v1_freeTier_bypassProxy,
   ])
   func countTokens_text_systemInstruction_unsupported(_ config: InstanceConfig) async throws {
     let model = FirebaseAI.componentInstance(config).generativeModel(
@@ -120,7 +120,7 @@ struct CountTokensIntegrationTests {
 
   @Test(
     /* System instructions are not supported on the v1 Developer API. */
-    arguments: InstanceConfig.allConfigsExceptDeveloperV1
+    arguments: InstanceConfig.allConfigsExceptGoogleAI_v1
   )
   func countTokens_jsonSchema(_ config: InstanceConfig) async throws {
     let model = FirebaseAI.componentInstance(config).generativeModel(
@@ -144,7 +144,7 @@ struct CountTokensIntegrationTests {
     case .vertexAI:
       #expect(response.totalTokens == 65)
       #expect(response.totalBillableCharacters == 170)
-    case .developer:
+    case .googleAI:
       // The Developer API erroneously ignores the `responseSchema` when counting tokens, resulting
       // in a lower total count than Vertex AI.
       #expect(response.totalTokens == 34)

FirebaseAI/Tests/TestApp/Tests/Integration/GenerateContentIntegrationTests.swift

@@ -78,7 +78,7 @@ struct GenerateContentIntegrationTests {
   @Test(
     "Generate an enum and provide a system instruction",
     /* System instructions are not supported on the v1 Developer API. */
-    arguments: InstanceConfig.allConfigsExceptDeveloperV1
+    arguments: InstanceConfig.allConfigsExceptGoogleAI_v1
   )
   func generateContentEnum(_ config: InstanceConfig) async throws {
     let model = FirebaseAI.componentInstance(config).generativeModel(
@@ -118,9 +118,9 @@ struct GenerateContentIntegrationTests {
     // TODO(andrewheard): Vertex AI configs temporarily disabled to due empty SafetyRatings bug.
     // InstanceConfig.vertexV1,
     // InstanceConfig.vertexV1Beta,
-    InstanceConfig.developerV1Beta,
-    InstanceConfig.developerV1BetaStaging,
-    InstanceConfig.developerV1BetaSpark,
+    InstanceConfig.googleAI_v1beta,
+    InstanceConfig.googleAI_v1beta_staging,
+    InstanceConfig.googleAI_v1beta_freeTier_bypassProxy,
   ])
   func generateImage(_ config: InstanceConfig) async throws {
     let generationConfig = GenerationConfig(
@@ -216,12 +216,7 @@ struct GenerateContentIntegrationTests {
 
   // MARK: - App Check Tests
 
-  @Test(arguments: [
-    InstanceConfig.vertexV1AppCheckNotConfigured,
-    InstanceConfig.vertexV1BetaAppCheckNotConfigured,
-    // App Check is not supported on the Generative Language Developer API endpoint since it
-    // bypasses the Firebase AI SDK proxy.
-  ])
+  @Test(arguments: InstanceConfig.appCheckNotConfiguredConfigs)
   func generateContent_appCheckNotConfigured_shouldFail(_ config: InstanceConfig) async throws {
     let model = FirebaseAI.componentInstance(config).generativeModel(
       modelName: ModelNames.gemini2Flash

FirebaseAI/Tests/TestApp/Tests/Integration/SchemaTests.swift

@@ -48,7 +48,7 @@ struct SchemaTests {
     storage = Storage.storage()
   }
 
-  @Test(arguments: InstanceConfig.allConfigsExceptDeveloperV1)
+  @Test(arguments: InstanceConfig.allConfigsExceptGoogleAI_v1)
   func generateContentSchemaItems(_ config: InstanceConfig) async throws {
     let model = FirebaseAI.componentInstance(config).generativeModel(
       modelName: ModelNames.gemini2FlashLite,
@@ -73,7 +73,7 @@ struct SchemaTests {
     #expect(decodedJSON.count <= 5, "Expected at most 5 cities, but got \(decodedJSON.count)")
   }
 
-  @Test(arguments: InstanceConfig.allConfigsExceptDeveloperV1)
+  @Test(arguments: InstanceConfig.allConfigsExceptGoogleAI_v1)
   func generateContentSchemaNumberRange(_ config: InstanceConfig) async throws {
     let model = FirebaseAI.componentInstance(config).generativeModel(
       modelName: ModelNames.gemini2FlashLite,
@@ -96,7 +96,7 @@ struct SchemaTests {
     #expect(decodedNumber <= 120.0, "Expected a number <= 120, but got \(decodedNumber)")
   }
 
-  @Test(arguments: InstanceConfig.allConfigsExceptDeveloperV1)
+  @Test(arguments: InstanceConfig.allConfigsExceptGoogleAI_v1)
   func generateContentSchemaNumberRangeMultiType(_ config: InstanceConfig) async throws {
     struct ProductInfo: Codable {
       let productName: String
@@ -149,7 +149,7 @@ struct SchemaTests {
     #expect(rating <= 5, "Expected a rating <= 5, but got \(rating)")
   }
 
-  @Test(arguments: InstanceConfig.allConfigsExceptDeveloperV1)
+  @Test(arguments: InstanceConfig.allConfigsExceptGoogleAI_v1)
   func generateContentAnyOfSchema(_ config: InstanceConfig) async throws {
     struct MailingAddress: Decodable {
       let streetAddress: String