# Service Layer: Toolkit for AI-Agent

In the service layer, a development platform is provided, which combines the concepts of Backend-as-a-Service and LLMOps to enable dAI-Apps developers to build production-grade generative applications quickly. Even non-technical personnel can participate in AI application definition and data operations.

By integrating the critical technology stacks required for building LLM applications, including support for hundreds of models, an intuitive Prompt orchestration interface, high-quality RAG engines, and a flexible Agent framework, while providing a set of easy-to-use interfaces and APIs, the platform saves developers a lot of time reinventing the wheel, allowing them to focus on innovation and business needs.

This layer focuses on defining and continuously improving the dAI-Apps applications development, the advantages are: 

* **Integrate LLMs into existing businesses**—Enhance the capabilities of current apps by introducing LLMs. Access the ready-to-use RESTful APIs to decouple Prompts from business logic. The management interface tracks data, costs, and usage while continuously improving performance.
* **LLM infrastructure** - As an internal LLM gateway, accelerating the adoption of GenAI technologies.
* **Explore LLM capabilities -** easily practice Prompt engineering and Agent technologies through different LLMs and integrate them with other real-time external knowledge. 

*Tips: Currently, most services in the service layer are invited-only. The public testing will be opened once the mainnet goes live.*  


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