OpenLIT
OpenLIT is an open-source, OpenTelemetry-native observability tool designed specifically for GenAI and LLM applications, offering comprehensive monitoring, prompt management, and evaluation capabilities with just one line of code integration.
https://openlit.io?ref=aipure
Product Information
Updated:Jan 17, 2025
OpenLIT Monthly Traffic Trends
OpenLIT received 5.9k visits last month, demonstrating a Slight Decline of -4.6%. Based on our analysis, this trend aligns with typical market dynamics in the AI tools sector.
View history trafficWhat is OpenLIT
OpenLIT is an innovative open-source platform built to simplify AI development workflows, particularly for Generative AI and Large Language Models (LLMs). It serves as a complete observability solution that helps developers monitor, evaluate, and optimize their AI applications. The platform combines essential features like LLM performance tracking, cost monitoring, prompt versioning, and secure API key management into a unified interface, making it easier for teams to manage their AI infrastructure effectively.
Key Features of OpenLIT
OpenLIT is an open-source OpenTelemetry-native observability platform specifically designed for GenAI and LLM applications. It provides comprehensive monitoring capabilities including LLM performance tracking, GPU monitoring, cost analysis, prompt management, and secrets management - all achievable with just one line of code integration. The platform offers seamless integration with various LLM providers, vector databases, and existing observability tools while maintaining a strong focus on privacy and ease of use.
OpenTelemetry-Native Observability: Provides end-to-end tracing and monitoring of LLM applications with automatic instrumentation, collecting metrics on performance, costs, tokens, and user interactions
Prompt Management System: Centralized repository for storing, versioning, and managing prompts with support for dynamic variables and version control including draft states
Secure Vault Management: Built-in secure storage system for managing sensitive information and API keys with easy environment integration
Comprehensive Analytics Dashboard: Visual interface for monitoring application performance, tracking exceptions, analyzing costs, and comparing different LLM performances in real-time
Use Cases of OpenLIT
AI Application Development: Helps developers monitor and optimize their GenAI applications during both development and production phases with comprehensive performance insights
Cost Optimization: Enables organizations to track and analyze LLM usage costs across different providers, helping make informed decisions about resource allocation
LLM Performance Comparison: Allows teams to compare different LLM providers side-by-side to choose the most suitable option for their specific use case
Security Compliance: Helps organizations maintain security standards through secure secrets management and comprehensive monitoring of AI application behavior
Pros
Simple integration with just one line of code
Open-source with self-hosting capability
Comprehensive monitoring and management features
Native OpenTelemetry support for existing observability stacks
Cons
Requires technical knowledge for self-hosting
Limited community support as a newer tool
How to Use OpenLIT
Install OpenLIT: Install OpenLIT using either npm ('npm i openlit') for TypeScript/JavaScript projects or pip ('pip install openlit') for Python projects
Initialize OpenLIT: Add 'openlit.init()' to your code to start collecting observability data from your LLM application. You can configure options like OTLP endpoint and application name during initialization
Deploy OpenLIT Backend: Deploy the OpenLIT backend using either Docker Compose ('docker-compose up -d') for quick setup or Helm charts for Kubernetes deployment. This sets up the UI and required backend services
Configure Secret Management: Use OpenLIT Vault to securely store and manage API keys and other sensitive credentials. Access the Vault through the UI or SDK to store/retrieve secrets
Set Up Prompt Management: Use the Prompt Hub in the UI to create, version and manage your prompts. You can use variables in prompts with {{variableName}} syntax for dynamic content
Monitor Application: Access the OpenLIT dashboard to view traces, metrics, costs and exceptions. You can analyze LLM performance, track errors, and monitor GPU usage
Test LLMs with OpenGround: Use the OpenGround playground to experiment with and compare different LLM providers side-by-side based on performance, cost and other metrics
Set Up Evaluations: Configure evaluations for hallucination, bias and toxicity detection using the evals module to assess LLM outputs quality
Export Data: Optionally configure connections to send OpenLIT's observability data to external tools like Prometheus, Grafana or other OpenTelemetry-compatible platforms
OpenLIT FAQs
OpenLIT is an open-source platform for AI engineering that simplifies AI development workflow, especially for Generative AI and LLMs. It provides observability, prompt management, and secrets handling capabilities with OpenTelemetry-native support.
Official Posts
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Analytics of OpenLIT Website
OpenLIT Traffic & Rankings
5.9K
Monthly Visits
#2849423
Global Rank
-
Category Rank
Traffic Trends: Jun 2024-Dec 2024
OpenLIT User Insights
00:02:16
Avg. Visit Duration
3.26
Pages Per Visit
43.89%
User Bounce Rate
Top Regions of OpenLIT
US: 41.75%
IN: 9.13%
GB: 8.63%
NL: 8.05%
HK: 7.7%
Others: 24.73%
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