Welcome to the world of Langtrace, where monitoring, evaluating, and optimizing large language models (LLMs) is not just a task but an exhilarating journey. Imagine having a powerful tool at your fingertips that not only tracks the performance of your AI applications but also provides real-time insights and detailed metrics. Langtrace is your trusty sidekick in the quest for AI excellence, ensuring that your LLM apps are not just functional but phenomenal. With just two lines of code, you can integrate Langtrace into your projects and start reaping the benefits of enhanced observability and performance optimization. But wait, there’s more! Langtrace isn’t just about tracking; it’s about transforming your AI applications into finely-tuned machines. By establishing a feedback loop with annotated LLM interactions, you can create golden datasets that continuously improve your models. Whether you’re a solopreneur or part of a larger team, Langtrace empowers you to build and deploy with confidence, knowing that you have the insights needed to make informed decisions. In a landscape where AI is rapidly evolving, Langtrace stands out as an open-source, secure solution that supports popular frameworks and databases. Say goodbye to vendor lock-in and hello to a world of possibilities. With Langtrace, you’re not just adopting a tool; you’re joining a vibrant community of builders and innovators who are passionate about pushing the boundaries of what AI can achieve.
Langtrace can be self-hosted and supports OpenTelemetry standard traces.
Get visibility and insights into your entire ML pipeline with traces and logs.
Annotate and create golden datasets with traced LLM interactions.
Trace requests, detect bottlenecks, and optimize performance with traces.
Run LLM based automated evaluations to track performance over time.
Track cost and latency at project, model and user levels.