#Streaming API

This project delivers an intuitive interface for the OpenAI Assistants API, simplifying the setup process with ASSISTANT IDs. Offering features like file handling, streaming API, and support for various assistant profiles, it boosts user engagement and efficiency. Compatible with Azure OpenAI, it facilitates easy deployment through Streamlit Cloud or Docker, with strong authentication protocols. Designed for versatile applications, it offers a seamless experience with quick setup and detailed environment configurations. A great choice for developers pursuing streamlined assistant integrations in flexible environments.

Explore a robust .NET library for integrating with OpenAI's API, utilizing its advanced natural language processing features. The library is community-maintained, offering full support for .NET Core 6.0 and above, and is designed specifically for C# developers. It ensures a smooth user experience with an intuitive API, reliable HTTP client management, and support for OpenAI's streaming API for processing real-time data. Includes practical examples, retry policy integrations, and facilitates easy package installation and service setup.

OpenaiEx is an Elixir library providing a community-maintained client for the OpenAI API, supporting major endpoints like Assistants API Beta 2 and DALL-E-3. The library enables seamless integration with OpenAI and Azure OpenAI services, with features like streaming request cancellation and Finch pools configuration. Designed for use with livebook, it offers comprehensive guides and examples for developers. Unlike other wrappers, it closely mirrors the official Python API structure and accepts third-party LLMs via an OpenAI proxy. Discussions and updates can be found on Elixir Forum.