GitHub - langfuse/langfuse: Open source observability and analytics for LLM applications
PyFlux
PyFlux is an open source time series library for Python. The library has a good array of modern time series models, as well as a flexible array of inference options (frequentist and Bayesian) that can be applied to these models. By combining breadth of models with breadth of inference, PyFlux allows for a probabilistic approach to time serie... See more
PyFlux is an open source time series library for Python. The library has a good array of modern time series models, as well as a flexible array of inference options (frequentist and Bayesian) that can be applied to these models. By combining breadth of models with breadth of inference, PyFlux allows for a probabilistic approach to time serie... See more
RJT1990 • GitHub - RJT1990/pyflux: Open source time series library for Python
OpenLLMetry is a set of extensions built on top of OpenTelemetry that gives you complete observability over your LLM application. Because it uses OpenTelemetry under the hood, it can be connected to your existing observability solutions - Datadog, Honeycomb, and others.
It's built and maintained by Traceloop under the Apache 2.0 license.
The repo con... See more
It's built and maintained by Traceloop under the Apache 2.0 license.
The repo con... See more
traceloop • GitHub - traceloop/openllmetry: Open-source observability for your LLM application, based on OpenTelemetry
Building a Knowledge base for custom LLMs using Langchain, Chroma, and GPT4All
cismography.medium.com
SGLang is a structured generation language designed for large language models (LLMs). It makes your interaction with LLMs faster and more controllable by co-designing the frontend language and the runtime system.
The core features of SGLang include:
The core features of SGLang include:
- A Flexible Front-End Language : This allows for easy programming of LLM applications with multiple ch