I think the value here is being able to have a unified API to access hosted open source models and proprietary models. And then being able to switch between models without changing any code. Model optionality was one of the factors Hypermode called out in the 12 Factor Agentic App: https://hypermode.com/blog/the-twelve-factor-agentic-app
Also, being able to use models from multiple services and open source models without signing up for another service / bring your own API key is a big accelerator for folks getting started with Hypermode agents.
> Spark doesn't even have geospatial data types and the open source packages that add support leave a lot to be desired.
Could you say more about this? I'm curious if you've compared Apache Sedona [0] and what specifically you found lacking? I currently work at Wherobots [1], founded by the creators of Apache Sedona and would love to hear any feedback.
Is anyone using Affinity for cartography? I’m currently using ArcGIS —> Illustrator workflow but am curious if a QGIS —> Affinity workflow is feasible.
Could you give a high-level overview of the tech stack? I'm specifically curious how you work with the social graph data aspects and approaches to generating recommendations.
Also, being able to use models from multiple services and open source models without signing up for another service / bring your own API key is a big accelerator for folks getting started with Hypermode agents.