Using the Burr UI to monitor is not the only way. You can integrate your own by leveraging lifecycle hooks, enabling you to log data in a custom format to, say, datadog, langsmith, or langfuse. - Source: dev.to / about 2 months ago

Langfuse (YC W23) | https://langfuse.com | Full-Time | Berlin, Germany | on-site | LLM Observability and Analytics Langfuse is open source [1] observability and analytics tool for LLM applications — think Amplitude and Datadog for LLM apps. Our users use Langfuse to understand what happens in production and use our insights to improve their applications. We have built a number of... - Source: Hacker News / 8 months ago

Langfuse makes tracing and analyzing LLM applications accessible. It is an open-source project under MIT license. - Source: dev.to / 9 months ago

Xorbits Inference (Xinference) is an open-source platform to streamline the operation and integration of a wide array of AI models. With Xinference, you’re empowered to run inference using any open-source LLMs, embedding models, and multimodal models either in the cloud or on your own premises, and create robust AI-driven applications. It provides a RESTful API compatible with OpenAI API, Python SDK, CLI, and... - Source: dev.to / 5 months ago

If you are looking to develop QnA or chat based apps then check out https://dify.ai. Do a quick check and see if it fit your requirements. You can integrate it with your app using the apis it provides. Source: 6 months ago

As an AI newbie, I used to find coding apps from scratch an absolute nightmare! The learning curve was steep as a ski slope, debugging took endless hours, and developing even a simple AI app nearly drove me insane! But since discovering Dify, it has totally revolutionized my life by enabling app development without any coding skills! Source: 10 months ago