Langtrace AIMonitor, evaluate & improve your LLM apps

Langtrace AI - Monitor, Evaluate & Improve Your LLM Apps

Introduction

Langtrace is an open-source observability tool designed to collect and analyze traces and metrics, helping you enhance your LLM (Large Language Model) applications. Powered by Scale3 Labs, Langtrace offers advanced security and seamless integration with popular LLMs, frameworks, and vector databases.

Key Features

• Advanced Security: SOC 2 Type II certified, ensuring top-tier data protection.
• Simple Setup: Integrate with just 2 lines of code.
• Open-Source & Secure: Self-hosted option with OpenTelemetry standard traces.
• End-to-End Observability: Comprehensive visibility into your ML pipeline.
• Feedback Loop: Annotate and create golden datasets for continuous improvement.
• Trace: Detect bottlenecks and optimize performance.
• Annotate: Manually evaluate LLM requests and create golden datasets.
• Evaluate: Automated evaluations to track performance over time.
• Playground: Compare prompt performance across different models.
• Metrics: Track cost and latency at project, model, and user levels.

Use Cases

• Performance Optimization: Trace requests and detect bottlenecks in your LLM applications.
• Continuous Improvement: Annotate interactions and create datasets for ongoing testing and enhancement.
• Cost Management: Monitor and manage costs and latency at various levels.
• Model Comparison: Use the playground to compare different model performances.
• Security Compliance: Ensure data protection with SOC 2 Type II certification.

Pricing

Langtrace offers a flexible pricing model to suit different needs. Start for free or book a demo to explore advanced features and custom solutions tailored to your requirements.

Teams

Langtrace is built by a world-class team of builders from diverse backgrounds, committed to providing top-notch observability tools for LLM applications. Join the Langtrace community on Discord and GitHub to collaborate and stay updated with the latest developments.