OpenLIT
Open-source GenAI and LLM observability platform
Open-source observability platformAPM and observability toolOpenTelemetry integration
Introduction
OpenLIT is an open-source GenAI and LLM observability platform native to OpenTelemetry with traces and metrics in a single application. It is an application performance monitoring (APM) and observability tool that simplifies the integration process with just one line of code. OpenLIT ensures smooth observability for GenAI projects, including popular libraries like OpenAI and HuggingFace, and vector databases like ChromaDB.
Key Features
Seamless integration with OpenTelemetry
Fine-tune LLM performance and costs
Real-time data streaming for quick decision-making
Low-latency data processing
Visualize and analyze LLM costs, token consumption, and performance indicators
Connect to popular observability systems like Datadog and Grafana Cloud
Frequently Asked Questions
What is OpenLIT?
How to use OpenLIT?
Is OpenLIT only for GenAI projects?
Can OpenLIT be integrated with non-LLM applications?
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Use Cases
- Monitor GenAI projects including OpenAI and HuggingFace libraries
- Visualize and analyze LLM costs, token consumption, and performance indicators
How to Use
Integrate OpenLIT into your LLM applications with just one line of code for seamless monitoring.