mirror of
https://github.com/firebase/firebase-ios-sdk
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Andrew Heard
3796a55fdf
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.
65 lines
2.7 KiB
Swift
65 lines
2.7 KiB
Swift
// Copyright 2026 Google LLC
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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import Foundation
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/// An internal data model for `RetrievalMetadata`.
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///
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/// ### Gemini Developer API
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///
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/// Type: `GoogleAiGenerativelanguageV1betaRetrievalMetadata`
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///
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/// Metadata related to retrieval in the grounding flow.
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///
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/// ### Gemini Enterprise Agent Platform
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///
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/// Type: `GoogleCloudAiplatformV1beta1RetrievalMetadata`
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///
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/// Metadata related to the retrieval grounding source. This is part
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/// of the `GroundingMetadata` returned when grounding is enabled.
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package struct RetrievalMetadata: Codable, Sendable, Equatable, Hashable {
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/// Optional. Score indicating how likely information from google search could help
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///
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/// ### Gemini Developer API
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///
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/// Optional. Score indicating how likely information from google search could help
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/// answer the prompt. The score is in the range [0, 1], where 0 is the least
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/// likely and 1 is the most likely. This score is only populated when
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/// google search grounding and dynamic retrieval is enabled. It will be
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/// compared to the threshold to determine whether to trigger google search.
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///
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/// ### Gemini Enterprise Agent Platform
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///
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/// Optional. A score indicating how likely it is that a Google
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/// Search query could help answer the prompt. The score is in the range of
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/// `[0, 1]`. A score of 1 means the model is confident that a search will be
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/// helpful, and 0 means it is not. This score is populated only when Google
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/// Search grounding and dynamic retrieval are enabled. The score is used to
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/// determine whether to trigger a search.
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package let googleSearchDynamicRetrievalScore: Double?
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/// Creates a new `RetrievalMetadata`.
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///
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/// - Parameters:
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/// - googleSearchDynamicRetrievalScore: Optional. Score indicating how likely information from google search could help (behavior varies by backend). For more details, see ``googleSearchDynamicRetrievalScore``.
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package init(
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googleSearchDynamicRetrievalScore: Double? = nil
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) {
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self.googleSearchDynamicRetrievalScore = googleSearchDynamicRetrievalScore
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}
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enum CodingKeys: String, CodingKey {
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case googleSearchDynamicRetrievalScore = "googleSearchDynamicRetrievalScore"
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}
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}
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