gemini_nano_android 1.1.0

A Flutter plugin to access on-device Gemini Nano models via Android AI Core. Enables offline inference and privacy-first text generation.

1.1.0

• Feat: Added initial support for iOS platform.
• Feat: Added iOS support for the example project.
• Note: iOS functions currently return default values (getModelVersion => null, isAvailable => false, generate => []).

1.0.1

• Fix: Fixed the documentation and use of multimodal generation.

1.0.0

• Feature: Added support for Multimodal Input (Text + Image). The generate method now accepts an optional image parameter (Uint8List).
• Updated Android implementation to handle image decoding and processing via BitmapFactory.
• Updated example app with an Image Picker to demonstrate multimodal capabilities.

0.1.3

• Updated generate method parameters to be non-nullable with default values.
• Adjusted default values for temperature, topK, candidateCount, and maxOutputTokens.
• Added documentation comments to the public API.

0.1.2

• Updated README documentation with screenshot table.
• Updated example app to support Markdown rendering.

0.1.1

• Added code coverage (Codecov) badge to README.
• Added GitHub Actions workflow for automated test coverage reporting.

0.1.0

• Breaking Change: The generate method now returns Future<List<String>> instead of Future<String> to support multiple candidate responses.
• Added optional generation parameters to generate: temperature, seed, topK, candidateCount, and maxOutputTokens.
• Updated example app to support configuring generation parameters.
• Documentation updates.

0.0.2

• Migrated from com.google.ai.edge.aicore to com.google.mlkit:genai-prompt API (v1.0.0-beta1).
• Refactored isAvailable logic in Android plugin.
• Added execution time display to the example application.

0.0.1

• Initial release. Support for text generation via Gemini Nano on Android.
• Added GeminiNanoAndroid class methods: getPlatformVersion, isAvailable, generate.