Local AI Devs Tunnel LM Studio Through ngrok to Mimic OpenAI in Cursor, Achieve Same But Slower

Users can now utilize Cursor with a local Large Language Model (LLM) and LM Studio, enabling a powerful coding experience while keeping inference fully local. To set this up, users must first install Cursor, LM Studio, and ngrok on their local machine, and download the zai-org/glm-4.6v-flash model. LM Studio serves the local LLM using an OpenAI-compatible API, and ngrok provides a secure tunnel to the local server. By running the command "ngrok http 1234", users can create a gateway to their local LLM, accessible via a unique URL, such as https://yours.ngrok-free.app/v1. This setup allows users to enjoy the benefits of a hosted OpenAI model, while maintaining full control over their data and inference process. The use of local LLMs is a significant development in the field of artificial intelligence, as it enables users to work with sensitive data securely and efficiently, without relying on cloud-based services. This solution is made possible by the integration of LM Studio and ngrok, making it a notable advancement in the industry.