Spider Clients are lightweight, language-specific SDKs that communicate with a Spider orchestration server to coordinate AI agent tasks. Using HTTP requests, clients enable users to open interactive sessions, dispatch multi-step chains, register custom tools, and retrieve streaming AI responses in real time. They handle authentication, serialization of prompt templates, and error recovery under the hood, while maintaining consistent APIs across Node.js and Python. Developers can configure retry policies, log metadata, and integrate custom middleware to intercept requests. The CLI client supports quick testing and workflow prototyping the terminal. Together, these clients accelerate the development of AI-powered agents by abstracting low-level network and protocol details, allowing teams to focus on prompt design and logic orchestration.

Andes offers a variety of Large Language Model (LLM) APIs for developers looking to enhance their applications with advanced AI capabilities. By connecting with leading AI technology, you can easily incorporate features such as natural language processing, automatic text generation, and translation. Whether you're developing a chatbot, content generation tool, or any other application that can benefit from AI, Andes provides the tools you need to unleash the power of AI in your applications.

The Java Action Linearprogram module provides a specialized action for the LightJason framework that allows agents to model and solve linear optimization tasks. Users can configure objective coefficients, add equality and inequality constraints, select solution methods, and run the solver within an agent’s reasoning cycle. Once executed, the action returns the optimal variable values and objective score which agents can use for subsequent planning or execution. This plug-and-play component abstracts solver complexity while maintaining full control over problem definitions through Java interfaces.