Langtrace AI Core Features
Langtrace AI is an open-source observability tool that helps monitor, evaluate, and improve your LLM apps. With end-to-end visibility, advanced security, and seamless integration, Langtrace ensures you can optimize performance and build with confidence.
Core Features of Langtrace AI
Langtrace AI is an open-source observability tool that collects and analyzes traces and metrics to help you improve your LLM apps.
Trace
Langtrace AI helps you trace requests, detect bottlenecks, and optimize performance with traces.
Annotate
Langtrace AI allows you to annotate and manually evaluate the LLM requests, and create golden datasets.
Evaluate
Langtrace AI lets you run LLM based automated evaluations to track performance over time.
Playground
Langtrace AI allows you to compare the performance of your prompts across different models.
Metrics
Langtrace AI helps you track cost and latency at project, model and user levels.
Use Cases of Langtrace AI
- AI Developers: Improve LLM application performance by using Langtrace AI for observability and evaluation of key metrics, including latency and accuracy.
- Machine Learning Engineers: Streamline the development process of AI prototypes by leveraging Langtrace AI's open-source platform for efficient monitoring and evaluation.
- Enterprise Teams: Enhance the security and compliance of AI applications through Langtrace AI's enterprise-grade security features and SOC2 Type II certification.
- Data Scientists: Conduct thorough evaluations and gain insights into the performance of different LLMs using Langtrace AI's prompt version control and comparison tools.
- Research Scientists: Utilize Langtrace AI as a Langtrace alternative for open-source observability, facilitating collaboration and contributing to the development of the platform.
