Langtrace AI Introduction
Langtrace AI is an open-source observability tool that collects and analyzes traces and metrics to help monitor, evaluate, and improve LLM applications.
View MoreWhat is Langtrace AI
Langtrace AI is a comprehensive tool designed for monitoring, evaluating, and optimizing large language models (LLMs). It provides real-time insights and detailed performance metrics to enhance AI applications. Built on open telemetry standards, Langtrace offers end-to-end observability for LLM applications, supporting popular LLMs, frameworks, and vector databases. The tool can be self-hosted and integrates seamlessly with existing observability stacks, ensuring no vendor lock-in.
How does Langtrace AI work?
Langtrace AI works through two main components: an SDK and a dashboard. The SDK is a lightweight library that can be installed in Python or TypeScript projects to collect traces based on open telemetry standards. These traces can be exported to Langtrace or any other observability stack. The dashboard is a web-based interface for viewing and analyzing traces. Langtrace captures data across the entire ML pipeline, including RAG systems and fine-tuned models, providing visibility into framework, vectorDB, and LLM requests. It offers features like trace collection, manual annotations, automated evaluations, and a prompt playground for comparing model performances. Additionally, Langtrace includes built-in heuristic, statistical, and model-based evaluations to support continuous testing and enhancement of AI applications.
Benefits of Langtrace AI
Using Langtrace AI brings several benefits to developers and organizations working with LLMs. It provides end-to-end visibility into the entire ML pipeline, allowing for easy detection of bottlenecks and performance optimization. The tool supports creating annotated golden datasets for continuous testing and improvement. With its open-source nature and support for OpenTelemetry standards, Langtrace offers flexibility and avoids vendor lock-in. It simplifies the process of monitoring costs, latency, and performance across different models and projects. The advanced security features, including SOC 2 Type II certification, ensure data protection. Overall, Langtrace AI enables developers to build and deploy LLM applications with greater confidence, providing the necessary insights for ongoing optimization and enhancement.
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