Langtrace AI, developed by Scale3 Labs, is an open-source observability tool designed to enhance the performance of your LLM (Large Language Model) applications. By collecting and analyzing traces and metrics, Langtrace AI helps developers monitor, evaluate, and improve their AI models. With a simple setup and robust security features, it is a valuable asset for anyone working with LLMs.
Security is a top priority for Langtrace AI. The platform is SOC 2 Type II certified, ensuring that your data is protected with the highest standards. This certification demonstrates Langtrace AI’s commitment to maintaining top-tier security measures, giving users peace of mind when using the tool.
Integrating Langtrace AI into your existing projects is straightforward. The tool supports popular programming languages like Python and TypeScript, and you can get started with just two lines of code. This ease of integration makes it accessible for developers of all skill levels.
Langtrace AI supports a wide range of LLMs, frameworks, and vector databases, including OpenAI, Google Gemini, and Langchain. This extensive support ensures that you can use Langtrace AI with your preferred tools and technologies, making it a versatile choice for various projects.
One of the standout features of Langtrace AI is its end-to-end observability. The tool provides visibility and insights into your entire ML pipeline, from framework and vectorDB to LLM requests. This comprehensive observability helps you detect bottlenecks and optimize performance effectively.
Langtrace AI enables continuous improvement of your AI applications by establishing a feedback loop. You can annotate and create golden datasets with traced LLM interactions, and use built-in heuristic, statistical, and model-based evaluations to enhance your models over time. This feature ensures that your AI applications remain efficient and effective.
