Search Results for "ngrok"

...It can capture latitude, longitude, accuracy, altitude, direction, and even speed, with results displayed in a terminal. The project supports both manual deployment and tunneling services like Ngrok for external access. While primarily intended as an educational resource on security awareness, it highlights the risks of exposing geolocation data online. Its simplicity and effectiveness have made it a popular project in cybersecurity learning circles.

...The main value of the project is its ability to process multiple PDF inputs and turn them into a question-answering workflow centered on document retrieval. With Docker support, script-based setup, optional ngrok exposure, and a clear local run path, it serves as a compact starter project for people who want a hands-on, self-hosted PDF chat system.

...It includes reference implementations for signature verification and signing across multiple languages such as Python, JavaScript/TypeScript, Go, Rust, Ruby, PHP, C#, Java, and Elixir, along with additional community SDKs. The initiative is guided by a technical steering committee with members from companies like Zapier, Twilio, Mux, ngrok, Supabase, Svix, and Kong. Standard Webhooks matters because it eliminates the fragmentation of webhook implementations, reducing consumer effort and enabling seamless verification in apps or even directly in API gateways. By unifying best practices, it improves developer experience, enhances security, and enables new ecosystem tools.

SirTunnel is a minimal, self-hosted tunneling tool for exposing a local web server through a public HTTPS URL. It combines standard SSH remote tunnels with Caddy instead of requiring a dedicated client. A small Python script tells Caddy which public hostname should proxy to the temporary server-side tunnel port. Caddy handles reverse proxying and automatic HTTPS certificate management. Tunnel mappings are ephemeral and controlled by clients, keeping server-side state and configuration to a...

...It simplifies integration challenges between Rasa and LLM libraries, including metadata handling and library conflicts. RasaGPT supports multi-tenant deployments, session management, and custom schemas using pgvector. It also enables Telegram bot integration and remote access via ngrok. Docker support allows easier setup and deployment, particularly on macOS environments. While designed as a working prototype, it provides a practical foundation for developers building LLM-powered chatbot applications with extensible architecture and preconfigured components.