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@bagintz bagintz commented Oct 10, 2025

Overview

This PR introduces a comprehensive Firebase AI provider implementation for the dartantic_ai ecosystem, providing seamless integration with Google's Gemini models through Firebase.

Key Features

🔥 Dual Backend Support

  • Google AI Backend: Simplified setup for development and prototyping
  • Vertex AI Backend: Production-ready infrastructure with enterprise features

Complete dartantic Compliance

  • Full provider pattern implementation following unified architecture
  • Comprehensive error handling with thinking metadata
  • Proper logging integration with context preservation
  • Standardized test coverage with proper headers
  • Model configuration compliance with string format support

🛠 Rich Functionality

  • Streaming and non-streaming chat completions
  • Advanced tool calling capabilities
  • Multi-turn conversation support
  • Flexible model configuration
  • Usage tracking and monitoring

Implementation Highlights

Provider Architecture

  • Clean separation of concerns with proper abstraction layers
  • Backend-agnostic implementation allowing easy switching between Google AI and Vertex AI
  • Comprehensive error handling with proper exception types and recovery mechanisms

Testing Infrastructure

  • 204 comprehensive tests covering all functionality
  • Tests require flutter test (not dart test) due to Flutter framework dependencies
  • Complete coverage of streaming, tool calling, error scenarios, and configuration options

Documentation & Setup

  • Comprehensive README with setup instructions for both backends
  • Firebase AI test application demonstrating all features
  • Test execution guide explaining Flutter test requirements
  • Troubleshooting documentation for common setup issues

Files Added/Modified

Core Implementation

  • packages/dartantic_firebase_ai/ - Complete provider package
  • packages/dartantic_firebase_ai/lib/src/firebase_ai_provider.dart - Main provider implementation
  • packages/dartantic_firebase_ai/test/ - Comprehensive test suite (204 tests)

Documentation

  • packages/dartantic_firebase_ai/README.md - Provider documentation
  • packages/dartantic_firebase_ai/TEST_EXECUTION.md - Test execution guide
  • Firebase AI test app with setup documentation

Testing

All tests pass successfully:

cd packages/dartantic_firebase_ai
flutter test
# Output: 00:02 +204: All tests passed!

Note: Tests must be run with flutter test rather than dart test due to Flutter framework dependencies in the firebase_ai package.

Compliance Verification

This implementation has been verified against all dartantic standards:

Provider Patterns: Full unified provider architecture compliance
Test Headers: All test files include proper standardized headers
Thinking Metadata: Error handling includes contextual thinking information
Error Handling: Comprehensive exception handling with proper types
Model Configuration: Support for both object and string-based model specs
Logging Architecture: Proper logging integration with context preservation

Backend Configuration

Google AI (Development)

Providers.providerMap['firebase_dev'] = FirebaseAIProvider(
  backend: FirebaseAIBackend.googleAI,
);

Vertex AI (Production)

Providers.providerMap['firebase'] = FirebaseAIProvider();
// Uses Vertex AI backend by default

Ready for Review

This implementation is production-ready with:

  • Complete feature parity with other dartantic providers
  • Comprehensive test coverage
  • Full documentation
  • Demonstrated functionality
  • Standards compliance verification

🚀 Added full Firebase AI provider implementation with advanced features:

## Core Provider
- firebase_ai_provider.dart: Enhanced error handling & validation
- firebase_ai_chat_model.dart: Complete chat model with streaming
- firebase_ai_chat_options.dart: Comprehensive configuration options
- firebase_message_mappers.dart: Firebase AI message conversion

## Advanced Features
- firebase_ai_streaming_accumulator.dart: Advanced streaming with metadata
- firebase_ai_thinking_utils.dart: Thinking/reasoning mode utilities
- firebase_ai_multimodal_utils.dart: Multi-modal validation & optimization

## Documentation & Examples
- ADVANCED_USAGE.md: 400+ lines comprehensive documentation
- firebase_ai_demo.dart: Simple demo following repo patterns
- Complete test suite with mocked Firebase dependencies

## Key Capabilities
✅ Enhanced error handling with Firebase-specific validation
✅ Advanced streaming with accumulation and metadata handling
✅ Thinking/reasoning mode implementation
✅ Multi-modal support (images, audio, video, documents)
✅ Comprehensive documentation and examples
✅ Production-ready with proper logging and validation

All 6 enhancement areas completed for maintainer review.
Ready for dart fix auto-cleanup and integration.
- Fixed 146 style and formatting issues automatically
- Reduced total linting issues from 242 to 97
- Improved code consistency with proper const usage
- Fixed string escaping and interpolation issues
- Applied proper variable scoping (final locals)

Remaining issues are mostly acceptable (example print statements,
minor line length, missing docs for utility enums).
- Provider Implementation Pattern: Restructured constructor with proper logger placement, baseUrl parameter handling
- Test Headers & Philosophy: Added mandatory testing philosophy headers to all test files
- Thinking Metadata: Integrated thinking extraction and streaming via ChatResult.metadata['thinking']
- Error Handling: Verified 'Don't Swallow Errors' compliance across all components
- Model Configuration: Added comprehensive validation tests for gemini patterns and defaults
- Logging Architecture: Implemented hierarchical logging (dartantic.chat.providers.firebase_ai, etc.)
- Additional test coverage: Added unit tests for all utility components
- Documentation: Updated providers.mdx with Firebase AI capabilities
- Build: Added coverage/ and ai_notes/ to .gitignore for cleaner repo

All 200+ tests passing with full compliance verification complete.
- Documents requirement for flutter test vs dart test
- Explains Flutter dependency requirements
- Provides CI/CD guidance for proper test execution
- All 204 tests confirmed passing with flutter test
- Restore packages/dartantic_ai/example/.env to main .gitignore
- Remove duplicate example/.env from firebase_ai package .gitignore
- Maintain proper separation of package-specific ignores
@csells
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csells commented Oct 10, 2025

Love this, @bagintz ! Some comments for you.

…back

- Change provider aliases from 'firebase'/'firebase_dev' to 'firebase-vertex'/'firebase-google'
- Clarify Firebase project requirements in README:
  - Google AI backend: No Firebase project needed, just API key
  - Vertex AI backend: Requires full Firebase project setup
- Add Flutter dependency clarification - package requires Flutter, not just Dart
- Update all examples and tests to use new naming convention
- Add comparison table showing dependencies and requirements

Addresses feedback from PR review: csells#63
- Both Google AI and Vertex AI backends require Firebase.initializeApp()
- Both require Firebase project configuration (even if minimal)
- Both require Flutter SDK, not just Dart
- Key difference: Google AI routes to Gemini Developer API, Vertex AI routes through Firebase infrastructure
- Verified through official Firebase documentation and test attempts

This corrects the previous misconception that Google AI backend doesn't need Firebase setup.
Research confirmed on-device inference is only available for web apps
via Firebase AI Logic, not for Flutter mobile apps.

Changes:
- Removed 'Hybrid On-Device Inference' section with non-existent InferenceMode
- Removed inferenceMode from configuration options list
- Updated comparison table: 'Yes (preview)' -> 'No (web only)'
- Added note with official Firebase documentation link

Sources:
- https://firebase.blog/posts/2025/06/hybrid-inference-firebase-ai-logic/
- https://firebase.blog/posts/2025/10/understand-ai-logic-hybrid-inference

Resolves csells' review comment asking for sample/documentation.
@csells
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csells commented Oct 20, 2025

Thanks for this, @bagintz!

Let me get the underlying PR landed (waiting on Google -- hopefully this week) and then we'll get this one landed, too.

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2 participants