Openlit
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OpenLIT is an open-source observability platform designed for modern Generative AI (GenAI) and Large Language Model (LLM) applications, built on OpenTelemetry. It provides unified traces, metrics, and performance insights, enabling developers to monitor their applications effectively.
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OpenLIT is an open-source observability platform designed for modern Generative AI (GenAI) and Large Language Model (LLM) applications, built on OpenTelemetry. It provides unified traces, metrics, and performance insights, enabling developers to monitor their applications effectively.
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What is Openlit?
OpenLIT is an advanced observability tool tailored for GenAI and LLM applications. By leveraging OpenTelemetry, it combines traces and metrics into a single interface, allowing developers to monitor performance, user interactions, and resource usage effectively. Its auto-instrumentation supports various LLM frameworks and VectorDBs, offering valuable insights into application behavior. OpenLIT is designed to help teams optimize their LLM deployments and understand cost implications.
Who will use Openlit?
- Developers
- Data Scientists
- AI Researchers
- DevOps Engineers
How to use the Openlit?
- Step1: Visit the OpenLIT website.
- Step2: Download and install the OpenLIT software.
- Step3: Configure auto-instrumentation for your LLM applications.
- Step4: Monitor performance and usage through the OpenLIT UI.
- Step5: Analyze insights to optimize application performance.
Platform
- web
- linux
Openlit's Core Features & Benefits
The Core Features
- OpenTelemetry Auto-instrumentation
- Unified traces and metrics
- Performance monitoring
- Cost tracking
The Benefits
- Enhanced application performance insights
- Cost-effective resource management
- Improved debugging capabilities
- Streamlined observability process
Openlit's Main Use Cases & Applications
- Performance monitoring for LLM applications
- Cost analysis of AI deployments
- Resource optimization in GenAI projects
Openlit's Pros & Cons
The Pros
Open source and easy to start with docker-compose
Comprehensive observability features tailored for LLMs and Generative AI
Supports prompt management with versioning and variable substitution
Secure secrets management integrated with environment variables
Real-time data streaming with low latency
Integration with popular observability platforms like Datadog and Grafana Cloud
Cost tracking and detailed trace analysis to optimize AI application performance
The Cons
Openlit's Pricing
| Has free plan | No |
|---|---|
| Free trial details | |
| Pricing model | |
| Is credit card required | No |
| Paid from | |
| Has lifetime plan | No |
| Billing frequency |
FAQs of Openlit
Openlit Company Information
- Website: https://openlit.io
- Company Name: OpenLIT
- Support Email: NA
- Facebook: NA
- X(Twitter): https://mobile.x.com/openlit_io
- YouTube: NA
- Instagram: NA
- Tiktok: NA
- LinkedIn: NA
Analytic of Openlit
Visit Over Time
Monthly Visits
9.5k
Avg Visit Duration
00:00:06
Page Per Visit
1.45
Bounce Rate
38.37%
Oct 2025 - Dec 2025 All Traffic
Geography
Top 5 Regions
United States
27.55%
India
25.43%
Pakistan
12.24%
Canada
11.78%
Vietnam
11.03%
Oct 2025 - Dec 2025 Worldwide Desktop Only
Traffic Sources
Direct
44.59%
Search
29.54%
Paid Referrals
11.54%
Referrals
7.50%
Social
6.64%
Mail
0.07%
Oct 2025 - Dec 2025 Desktop Only
Top Keywords
| Keyword | Traffic | Cost Per Click |
|---|---|---|
| openlit | 520 | $ 1.21 |
| .lit open | 80 | $ -- |
| openlit prompt management | 60 | $ -- |
| openllmetry | 950 | $ 12.00 |
| openlit github | 360 | $ -- |
Openlit Reviews
5/5
Openlit's Main Competitors and alternatives?
- Prometheus
- Grafana
- DataDog
- New Relic
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