OpenLIT

OpenLIT: OpenTelemetry-Native Observability for GenAI and LLM Applications

What is OpenLIT?

OpenLIT is an open-source platform built on OpenTelemetry, designed to simplify AI development workflows, particularly for Generative AI and Large Language Models (LLMs). It streamlines essential tasks such as experimenting with LLMs, organizing and versioning prompts, and securely handling API keys.

Key Features and Benefits:

• Application and Request Tracing: OpenLIT provides end-to-end tracing of requests across different providers to improve performance visibility. This allows you to monitor each span for response time and efficiency.
• Cost Tracking: Tracks costs associated with making it easier to take revenue decisions.
• Exception Monitoring: Monitors and logs application errors to help detect and troubleshoot issues. It offers automatic exception monitoring with SDKs for Python and TypeScript, detailed stack traces, and integration with OpenTelemetry-powered trace data.
• Openground (Openlit PlayGround): Allows you to test and compare different LLMs side-by-side based on performance, cost, and other key metrics. It generates detailed reports that compile and visualize comparison data, supporting informed decision-making.
• Centralized Prompt Repository: Enables organized storage, versioning, and usage of prompts with dynamic variables across different applications. Supports major, minor, and patch updates for clear version management.
• Secure Secrets Management (Vault Hub): Offers a secure way to store and manage sensitive application secrets. Allows you to create, edit, and monitor secrets associated with your applications, and safely integrate them into your Node.js or Python environments.
• Real-Time Data Streaming: Streams data to let you visualize your data and make quick decisions and modifications.
• Low Latency: Ensures that data is processed quickly without affecting the performance of your application.
• OpenTelemetry Native: Seamless integration: OpenLIT's native support makes adding it to your projects feel effortless and intuitive.
• Granular Usage Insights: Analyze LLM, Vectordb & GPU performance and costs to achieve maximum efficiency and scalability.
• Prompt & Vault Management: Helps manage your prompts and secrets to ease the development of your application.

How Does OpenLIT Work?

OpenLIT integrates seamlessly with OpenTelemetry, allowing you to automatically track your AI applications. It uses SDKs for Python and TypeScript to monitor exceptions without significantly altering your application code. By adding openlit.init() to your code, you can start collecting data from your LLM application. The platform then streams data in real-time, allowing you to visualize the performance and costs associated with your LLMs, vector databases, and GPUs.

How to Use OpenLIT?

1. Installation: You can quickly set up OpenLIT by running docker-compose up -d.
2. Integration: Add openlit.init() to your LLM application to start collecting data.
3. Vault Hub: Set secrets directly as environment variables for ease of use in applications using their SDKs.
4. Connect: Connect to popular observability systems with ease, including Datadog and Grafana Cloud, to export data automatically.

Open Source Nature:

OpenLIT is an open-source project, which means you can see exactly what the code does and even host it yourself. This transparency ensures privacy and allows for greater control over your data.

Integrations:

OpenLIT offers integrations with popular observability systems such as Datadog and Grafana Cloud, allowing you to export data automatically.

Community and Support:

• Slack: Join the OpenLIT community on Slack.
• Github: Star the project on GitHub.
• Discord: Engage with the community on Discord.
• mail: Contact the OpenLIT team via email.

Why is OpenLIT Important?

In the rapidly evolving field of AI, especially with the rise of Generative AI and LLMs, understanding the performance, costs, and potential issues of your applications is crucial. OpenLIT provides the tools to monitor, manage, and optimize your AI applications effectively. Its integration with OpenTelemetry ensures seamless adoption and provides granular insights into your application's behavior.