OpenLIT Howto
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.
View MoreHow 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.
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 traffic
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