Files
firebase-ios-sdk/GeminiLanguageModel/Sources/GeminiAPIDataModels/GenerateContent/CountTokensResponse.swift
T
Andrew Heard 3796a55fdf feat(ai): add GeminiLanguageModel (#16601)
Implemented `GeminiLanguageModel`, providing an adapter for Google's
Gemini models conforming to Apple's `FoundationModels.LanguageModel`
protocol. This PR includes text to text generation capabilities; other
modalities and Gemini features will be handled in follow-up PRs.

**Note:** The `GeminiLanguageModel` implementation is guarded by the
environment variable `GEMINI_LANGUAGE_MODEL`. By default none of the
`GeminiLanguageModel` implementation is included.

Key additions:
- `GeminiLanguageModel`: Implements `LanguageModel` protocol with
  reasoning capabilities, configuring execution via `ModelResource`
  and `EndpointConfiguration`.
- `GeminiLanguageModelExecutor`: Converts prompt instructions and
  history into Gemini streaming requests, yielding responses as
  `LanguageModelSession.ResponseStream`.
- `GeminiTranscriptTranslator`: Translates Apple `Transcript` entries
  and segments into Gemini `Content` structures while preserving thought
  signatures and validating supported transcript features.
- `GeminiLanguageModel.Error` and `GeminiErrorMapper`: Translates Gemini
  API, HTTP, and network errors into standard `LanguageModelError` cases
  (`rateLimited`, `timeout`, `guardrailViolation`, `refusal`, and
  `unsupportedLanguageOrLocale`) or `GeminiLanguageModel.Error` cases
  (`serviceUnavailable`, `networkFailure`, `modelNotFound`, `apiError`).
  The `APIError` payload is designed for seamless forward compatibility
  with both GenerateContent and the upcoming Interactions API.
- Testing infrastructure: Adds `ConditionTrait.requireFoundationModels`
  to conditionally run Foundation Models tests only on supported
  platforms (macOS 27+, iOS 27+, watchOS 27+, visionOS 27+), along with
  shared test constants, mock fixtures, and comprehensive unit and
  integration test suites.
2026-09-04 18:05:45 -04:00

111 lines
4.4 KiB
Swift

// Copyright 2026 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
/// An internal data model for `CountTokensResponse`.
///
/// ### Gemini Developer API
///
/// Type: `GoogleAiGenerativelanguageV1betaCountTokensResponse`
///
/// A response from `CountTokens`.
///
/// It returns the model's `token_count` for the `prompt`.
///
/// ### Gemini Enterprise Agent Platform
///
/// Type: `GoogleCloudAiplatformV1beta1CountTokensResponse`
///
/// Response message for PredictionService.CountTokens.
package struct CountTokensResponse: Codable, Sendable, Equatable, Hashable {
/// The number of tokens that the `Model` tokenizes the `prompt` into. Always
///
/// ### Gemini Developer API
///
/// The number of tokens that the `Model` tokenizes the `prompt` into. Always
/// non-negative.
///
/// ### Gemini Enterprise Agent Platform
///
/// The total number of tokens counted across all instances from the request.
package let totalTokens: Int?
/// Number of tokens in the cached part of the prompt (the cached content).
///
/// ### Gemini Developer API
///
/// Number of tokens in the cached part of the prompt (the cached content).
///
/// ### Gemini Enterprise Agent Platform
///
/// > Important: This property is not supported in the Gemini Enterprise Agent Platform.
package let cachedContentTokenCount: Int?
/// Output only. List of modalities that were processed in the request input.
package let promptTokensDetails: [ModalityTokenCount]?
/// Output only. List of modalities that were processed in the cached content.
///
/// ### Gemini Developer API
///
/// Output only. List of modalities that were processed in the cached content.
///
/// ### Gemini Enterprise Agent Platform
///
/// > Important: This property is not supported in the Gemini Enterprise Agent Platform.
package let cacheTokensDetails: [ModalityTokenCount]?
/// The total number of billable characters counted across all instances from
///
/// ### Gemini Developer API
///
/// > Important: This property is not supported in the Gemini Developer API.
///
/// ### Gemini Enterprise Agent Platform
///
/// The total number of billable characters counted across all instances from
/// the request.
package let totalBillableCharacters: Int?
/// Creates a new `CountTokensResponse`.
///
/// - Parameters:
/// - totalTokens: The number of tokens that the `Model` tokenizes the `prompt` into. Always (behavior varies by backend). For more details, see ``totalTokens``.
/// - cachedContentTokenCount: Number of tokens in the cached part of the prompt (the cached content). (Gemini Developer API only). For more details, see ``cachedContentTokenCount``.
/// - promptTokensDetails: Output only. List of modalities that were processed in the request input.
/// - cacheTokensDetails: Output only. List of modalities that were processed in the cached content. (Gemini Developer API only). For more details, see ``cacheTokensDetails``.
/// - totalBillableCharacters: The total number of billable characters counted across all instances from (Gemini Enterprise Agent Platform only). For more details, see ``totalBillableCharacters``.
package init(
totalTokens: Int? = nil,
cachedContentTokenCount: Int? = nil,
promptTokensDetails: [ModalityTokenCount]? = nil,
cacheTokensDetails: [ModalityTokenCount]? = nil,
totalBillableCharacters: Int? = nil
) {
self.totalTokens = totalTokens
self.cachedContentTokenCount = cachedContentTokenCount
self.promptTokensDetails = promptTokensDetails
self.cacheTokensDetails = cacheTokensDetails
self.totalBillableCharacters = totalBillableCharacters
}
enum CodingKeys: String, CodingKey {
case totalTokens = "totalTokens"
case cachedContentTokenCount = "cachedContentTokenCount"
case promptTokensDetails = "promptTokensDetails"
case cacheTokensDetails = "cacheTokensDetails"
case totalBillableCharacters = "totalBillableCharacters"
}
}