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Add FoundationModelsFake, a nested Swift package that fakes Apple's Foundation Models framework, so that GeminiLanguageModel (GLM) can build and run its unit tests on Linux and on OS versions without the real framework. It's used only for development and testing. - GLM depends on the fake through a `FoundationModelsFake` package trait, which is on by default where Darwin isn't available (e.g., Linux). With the trait off, the fake isn't built. The root `Package.swift` and podspecs can't reach it. - The fake mirrors Apple's public API and availability in the 27.2 SDKs, including `@Generable` macro expansions. It omits PrivateCloudComputeLanguageModel, OCRTool, BarcodeReaderTool, the adapter and feedback APIs, and deprecated APIs. SystemLanguageModel is always unavailable. Below Swift 6.4 it compiles to an empty module. - Decoding rejects transcript images with `file:` URLs and schemas whose references never resolve, instead of reading local files or overflowing the stack. - Without ImageIO, GLM passes PNG, JPEG, WebP, HEIC, and HEIF images through to Gemini after checking their signatures, and rejects images that would need re-encoding. - Add CI jobs that run both packages' tests against the fake: one on Linux in a digest-pinned `swift:6.4.2` container, and one on macOS with Xcode 27.2. Skip `sdk.ai` for changes that only touch the fake.
243 lines
8.1 KiB
Swift
243 lines
8.1 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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#if compiler(>=6.4)
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import Foundation
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import FoundationModelsFake
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import Testing
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// MARK: - Test Support Types
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private struct EchoFallbackModel: LanguageModel {
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struct Executor: LanguageModelExecutor {
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struct Configuration: Hashable, Sendable {}
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init(configuration: Configuration) throws {}
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nonisolated(nonsending) func respond(
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to request: LanguageModelExecutorGenerationRequest,
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model: EchoFallbackModel,
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streamingInto channel: LanguageModelExecutorGenerationChannel
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) async throws {
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await channel.send(
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.response(
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entryID: "fallback-response",
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action: .appendText("fallback-ok", tokenCount: 2)
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)
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)
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}
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}
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var capabilities: LanguageModelCapabilities {
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LanguageModelCapabilities([.guidedGeneration, .toolCalling, .reasoning])
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}
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var executorConfiguration: Executor.Configuration {
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Executor.Configuration()
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}
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}
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private struct TokenCountTestTool: Tool {
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@Generable
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struct Arguments {
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var query: String
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}
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var name: String { "search_docs" }
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var description: String { "Searches local documentation by query string." }
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func call(arguments: Arguments) async throws -> String {
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arguments.query
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}
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}
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private struct TestDynamicInstructions: DynamicInstructions {
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var body: some DynamicInstructions {
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Instructions("Dynamic instructions using default SystemLanguageModel.")
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}
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}
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private struct SystemOrFallbackProfile: LanguageModelSession.DynamicProfile {
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let forceFallback: Bool
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var body: some LanguageModelSession.DynamicProfile {
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if !forceFallback && SystemLanguageModel.default.isAvailable {
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Profile {
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Instructions("Use the on-device system model.")
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}
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.model(SystemLanguageModel.default)
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} else {
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Profile {
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Instructions("Use the cross-platform fallback model.")
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}
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.model(EchoFallbackModel())
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}
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}
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}
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// MARK: - Tests
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@Suite("SystemLanguageModel Tests")
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struct SystemLanguageModelTests {
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@Test
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func defaultModelPropertiesAndCapabilities() {
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let model = SystemLanguageModel.default
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let capabilities = model.capabilities
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let contextSize = model.contextSize
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let variant = model.variant
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let availability = model.availability
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let isAvailable = model.isAvailable
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let supportedLanguages = model.supportedLanguages
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#expect(capabilities.contains(.guidedGeneration))
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#expect(capabilities.contains(.toolCalling))
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#expect(capabilities.contains(.reasoning))
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#expect(!capabilities.contains(.vision))
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#expect(contextSize == 4096)
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#expect(variant == .core3)
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#expect(variant.displayName == "Core 3B")
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#expect(SystemLanguageModel.Variant.coreAdvanced3.displayName == "Core Advanced 3B")
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#expect(availability == .unavailable(.deviceNotEligible))
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#expect(!isAvailable)
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#expect(supportedLanguages.isEmpty)
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#expect(!model.supportsLocale(Locale(identifier: "en_US")))
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}
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@Test
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func useCaseAndGuardrailsConfigurations() {
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let generalDefault = SystemLanguageModel(useCase: .general, guardrails: .default)
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let taggingPermissive = SystemLanguageModel(
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useCase: .contentTagging,
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guardrails: .permissiveContentTransformations
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)
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let configA = generalDefault.executorConfiguration
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let configB = taggingPermissive.executorConfiguration
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#expect(SystemLanguageModel.UseCase.general != .contentTagging)
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#expect(configA != configB)
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}
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@Test
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func availabilityEquatableAndErrorDescriptions() {
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let availabilities: [SystemLanguageModel.Availability] = [
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.available,
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.unavailable(.deviceNotEligible),
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.unavailable(.appleIntelligenceNotEnabled),
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.unavailable(.modelNotReady),
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]
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let error = SystemLanguageModel.Error.assetsUnavailable(.init(debugDescription: "Missing"))
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let distinctPairs = availabilities.indices.flatMap { lhs in
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availabilities.indices.filter { $0 != lhs && availabilities[$0] == availabilities[lhs] }
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}
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#expect(distinctPairs.isEmpty)
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#expect(error.errorDescription == "Missing")
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#expect(error.debugDescription == "Missing")
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}
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@Test
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func tokenCountOverloads() async throws {
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let model = SystemLanguageModel.default
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let prompt = Prompt("Count the tokens in this prompt sentence.")
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let instructions = Instructions("You are a concise assistant.")
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let tools: [any Tool] = [TokenCountTestTool()]
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let schema = TokenCountTestTool.Arguments.generationSchema
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let entries: [Transcript.Entry] = [
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.instructions(
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Transcript.Instructions(
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segments: [.text(.init(content: "You are a concise assistant."))],
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toolDefinitions: [Transcript.ToolDefinition(tool: TokenCountTestTool())]
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)
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),
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.prompt(
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Transcript.Prompt(
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segments: [.text(.init(content: "Count the tokens in this prompt sentence."))]
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)
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),
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]
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let promptTokens = try await model.tokenCount(for: prompt)
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let instructionTokens = try await model.tokenCount(for: instructions)
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let toolTokens = try await model.tokenCount(for: tools)
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let schemaTokens = try await model.tokenCount(for: schema)
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let entryTokens = try await model.tokenCount(for: entries)
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let emptyToolTokens = try await model.tokenCount(for: [] as [any Tool])
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#expect(promptTokens > 0)
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#expect(instructionTokens > 0)
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#expect(toolTokens > 0)
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#expect(schemaTokens > 0)
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#expect(entryTokens >= promptTokens + instructionTokens)
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#expect(emptyToolTokens == 0)
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}
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@Test
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func sessionDefaultModelInitializers() {
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let bareSession = LanguageModelSession()
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let stringSession = LanguageModelSession(instructions: "Be helpful.")
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let builderSession = LanguageModelSession {
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"Built instructions."
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}
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let instructionsSession = LanguageModelSession(instructions: Instructions("Explicit."))
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let transcriptSession = LanguageModelSession(transcript: Transcript())
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let dynamicSession = LanguageModelSession(
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dynamicInstructions: TestDynamicInstructions()
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)
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let counts = [
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bareSession.transcript.count,
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stringSession.transcript.count,
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builderSession.transcript.count,
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instructionsSession.transcript.count,
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transcriptSession.transcript.count,
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dynamicSession.transcript.count,
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]
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#expect(counts == [0, 1, 1, 1, 0, 1])
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}
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@Test
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func dynamicProfileBranchingBetweenSystemAndFallbackModel() async throws {
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let forcedSession = LanguageModelSession(
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profile: SystemOrFallbackProfile(forceFallback: true))
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let unforcedSession = LanguageModelSession(
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profile: SystemOrFallbackProfile(forceFallback: false)
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)
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let forcedResponse = try await forcedSession.respond(to: "Ping")
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let unforcedResponse = try await unforcedSession.respond(to: "Ping")
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#expect(forcedResponse.content == "fallback-ok")
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#expect(forcedSession.transcript.count == 3)
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#expect(unforcedResponse.content == "fallback-ok")
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}
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@Test
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func respondThrowsAssetsUnavailable() async throws {
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let session = LanguageModelSession(
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model: SystemLanguageModel.default,
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tools: [TokenCountTestTool()],
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instructions: "Reply in one short sentence."
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)
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await #expect(throws: SystemLanguageModel.Error.self) {
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_ = try await session.respond(to: "Say hello.")
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}
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}
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}
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#endif // compiler(>=6.4)
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