Added GET, POST, PATCH, DELETE, OPTIONS request methods into Flask endpoints, updated Test Request tab.

Servera provides you with preset request routes and parameters for much easier testing using the generated ASM trees.

Collaborates with users to create detailed functions and PRD for each route before creating. Saves chat states for efficiency.

Export function is still using the legacy Gemini 1.5 flash.

Added and did basic functionality testing for integrations for stock data (Yahoo Finance), geolocation and points of interest (geopy, OpenStreetMap), information and data (Wikipedia), and external APIs.

Cleared chain of thought for each separate user who accessed the API to ensure reasoning is reset per request

Added a routes tab, where the user can see the input/output of each function, and how each route is being serviced.

Fixed an issue where modifying your endpoint would deregister user tunnels.

Moved temporary cloudflare proxies to Servera's own infrastructure for permanent responsive APIs.

Users can build wrapper apps using Gemini AI models, as well as build their own AI agent through a system prompt.

All users have the ability to have AI generate a message to provide context on all routes.

Currently work in progress as of March 12: Implement python library presets for large data set applications, machine learning, LLMs, and data visualization, etc.

Users can have the option to create a persistent SQLite database.

Sent test requests now show the amount of time (ms) it took for the response to be returned.

Updated the logo, UI layout and design, and landing page

Added user accounts using Clerks OAuth support.

Implemented separated Gunicorn HTTP server workers for each user.

Users can now chat with the AI directly and modify their endpoints live.

Moved servera.dev to be hosted by Vercel and Cloudflare

Created and worked on the development of dynamic API routes, and generating backend logic with AI.