I built Rubric, an open source Sentry for AI. Looking for beta testers

Production-grade local LLM deployments require robust monitoring and debugging infrastructure. Rubric fills a critical gap by providing open-source observability tools purpose-built for AI applications, offering capabilities like error tracking, performance metrics, and debugging insights that traditional application monitoring tools weren't designed to handle.

For teams running LLMs locally, this means better visibility into model behavior, inference performance, and failure modes. Whether you're deploying with Ollama, llama.cpp, or other local frameworks, having dedicated AI observability helps identify optimization opportunities, track quality regressions, and debug production issues without sending data to external services.

The project is actively seeking beta testers, making it an excellent time to evaluate it for your local deployment pipeline. Check out the GitHub repository to learn more about features and early adoption opportunities.

Source: Hacker News · Relevance: 7/10