HomeGuidesAPI ReferenceRelease notes
Log In
Release notes

Version 1.4.0

What's new? 🚀

  • Enhanced LLM application studio: We’ve streamlined the application creation process to be more intuitive and flexible. The redesign enables users to link diverse tools and knowledge sources, offering extensive prompt engineering options. It’s adaptable for various use cases. The scalable architecture lets us swiftly add capabilities, preparing us for changes in user needs and AI applications.. The new architecture includes:
    • Model selection: Choose the ideal LLM based on your preferences, whether it’s a model from an LLM provider or a self-hosted option. Currently, we offer integration with the “Vertex model garden”.
    • Custom prompts: Create personalized prompts to fine-tune your LLM, bolstering the performance of your application.
    • DB tool: Empower your applications with organizational data, thanks to SWE’s capability to integrate your unique data sets. You can connect one or more DB’s to one app.
    • Chat playground: Our new studio introduces the “chat playground,” a dedicated space where you can experiment with your chat configuration and instantly see how modifications affect your application in real time. This powerful feature allows you to test and refine your chat application’s setup to perfection before going live.
  • Customizable dashboards: The new dashboard functionality in SWE not only allows for a deeper dive into data monitoring with the creation of tailored metrics and widgets but also facilitates sharing these insights with your team. Now, you can collaborate more effectively by designing your dashboard views and sharing them with colleagues to ensure everyone stays informed and aligned on key performance indicators and data trends
  • Distribution query support: You can now utilize distribution queries to conduct in-depth analysis of your data.

Improvements 🔧

  • SDK support: We’re excited to unveil our Python SDK with enhanced programmatic access, offering a seamless and more user-friendly experience alongside our REST API
  • Platform performance optimization: Our platform is now faster and more efficient, thanks to significant infrastructure enhancement efforts by our team.