This project is a Go library that provides a programmatic interface for interacting with generative AI services. It serves as a comprehensive software development kit for integrating large language models into applications, enabling developers to perform tasks such as text and chat completion, image generation, and audio transcription.
The library distinguishes itself through a unified infrastructure designed for robust network communication and service management. It features structured request mapping and error normalization to ensure type-safe interactions and simplified debugging. Furthermore, it includes specialized support for stateful AI agents, persistent conversation threads, and function calling, allowing for complex, multi-turn interactions. The client also provides flexible configuration options, including specific support for mapping deployments across different cloud environments.
Beyond core text generation, the project covers a broad range of generative AI capabilities. This includes tools for semantic embedding generation and vector search, content safety screening, and administrative management of fine-tuning jobs and custom model versions. It also handles media-heavy workflows, such as file management for assistant context and automated processing of audio and visual assets.
The library is designed for direct integration into Go applications, providing a consistent client initialization pattern for managing API credentials and service endpoints.
