Phase 1

[enovka]

Feature: Multi-Turn Conversation Support and Phase 1 Completion

This pull request marks the completion of Phase 1 for the Gemini4j library, introducing the MultiTurn Conversation module and several other key features. This phase focused on implementing core functionalities and essential resources to provide a robust foundation for interacting with the Google Gemini API.

Key Changes:

• Multi-Turn Conversation Support: Implemented a comprehensive MultiTurn Conversation module, enabling seamless and engaging multi-turn conversations with the Gemini API. This module introduces a MultiTurnConversation class for managing conversation history and context tracking, integrates with AbstractResource for common access, and enhances GenerationResource for automatic context injection and history management.
• Refactored Builder Hierarchy: Refactored the builder hierarchy to improve type safety, clarity, and maintainability. Decoupled builder chains by removing the generic and() method from AbstractComplexBuilder and adding specific and() methods to concrete builders.
• Corrected Model Name Format: Fixed an issue where the model field in EmbedContentRequest was not in the expected format, ensuring compatibility with the Gemini API.
• Enhanced Resource Classes: Refactored AbstractResource and its implementations to maximize code reuse and minimize duplication. Introduced a generic type parameter for response handling and moved common request execution logic to the abstract class.

Benefits:

• Enables seamless multi-turn conversations with the Gemini API: This enhances the coherence and contextuality of responses, making for more engaging and natural interactions.
• Provides a convenient and flexible mechanism for managing conversation history: Applications can retrieve or clear the history as needed, offering greater control over conversational flow.
• Improves the library's usability for building interactive conversational AI applications: The MultiTurn Conversation module empowers developers to create more sophisticated and engaging conversational experiences.
• Provides a robust foundation for interacting with the Gemini API: This phase lays the groundwork for a comprehensive and powerful Java library for leveraging Gemini's advanced AI capabilities.

This pull request represents a significant step towards building a comprehensive and powerful Java library for interacting with the Google Gemini API. The completed Phase 1 provides a robust foundation for future development and expansion.