AI Generator LSP

This tool provides a sandbox to model AI assisted code generation through an LSP like interface. It accepts language, model variant, prompts, and configuration, then returns structured responses that resemble LSP messages such as completion items, hover information, and signature help. It is designed for rapid prototyping, teaching, and integration planning, not for production code generation. The architecture emphasizes deterministic behavior, configurability, and portability across environments. Users can study how prompts influence results, test client request shapes, and compare response types across languages. The tool supports multiple languages and templates, enabling side by side experiments with different prompt strategies, response formats, and latency settings to mimic real world IDE interactions.
It conceptually decouples the prompt engine from a full language server. Inputs drive a lightweight response layer that can emit completion lists, hover text, and diagnostic hints. Outputs are consumable by AI agents or IDE clients as if they were LSP responses, yet they remain synthetic so teams can validate client logic without external dependencies. This differentiation yields a cost effective, fast feedback loop for tool builders, educators, and QA teams working on AI coding workflows. Potential use cases include IDE extension testing, educational demos, and early stage integration planning for AI assisted development pipelines.