Openlit

OpenLIT is an open-source observability platform for GenAI and LLM applications, offering APM and observability tools. It simplifies AI development workflows by providing features like application tracing, cost tracking, exception monitoring, prompt management, and secure secrets management.

What is Openlit?

OpenLIT is an open-source GenAI and LLM observability platform native to OpenTelemetry, providing Application Performance Monitoring (APM) and observability for GenAI and LLM applications. It unifies traces and metrics in a single interface, simplifying AI development workflows by streamlining tasks like experimenting with LLMs, organizing prompts, and securely handling API keys.

Use Cases

• Visualize traces for application and request tracing to improve performance visibility
• Monitor exceptions and troubleshoot issues with detailed stacktraces
• Test and compare different LLMs side-by-side based on performance and cost
• Manage prompts with versioning and variable substitution
• Securely store and manage sensitive application secrets

Core Benefits

• Open-source and free to use
• Seamless integration with OpenTelemetry
• Comprehensive observability for GenAI and LLM applications
• Simplifies AI development workflow
• Provides cost tracking and performance insights
• Secure secrets management
• Real-time data streaming

Key Features

• Application and Request Tracing
• Detailed Span Tracking
• Cost Tracking
• Exceptions Monitoring
• Centralized Prompt Repository
• Secure Secrets Management
• OpenTelemetry Native Integration
• Granular Usage Insights
• Real-Time Data Streaming
• Low Latency

How to Use

1. 1
   Add `openlit.init()` to your LLM application
2. 2
   Start collecting data
3. 3
   Alternatively, use `docker-compose up -d` for quick start

Frequently Asked Questions

Pros & Cons (Reserved)

Alternatives