Trace LLM requests + costs with OpenTelemetry monitoring
Developer Tool
Performance Tracking
Application Monitoring
System Observability
Error Logging
OpenLIT provides comprehensive, zero-code observability for applications leveraging large language models (LLMs) and other generative components. Key features include:
• OpenTelemetry-native monitoring for LLMs, VectorDBs, and GPUs
• Built-in guardrails and evaluation tools
• Centralized prompt hub for organization and versioning
• Secure vault for sensitive API keys
• Full self-hostability for complete control
This platform streamlines the development and deployment of advanced applications by offering end-to-end tracing and detailed span tracking. Developers can visualize application and request flows, gaining critical insights into performance and behavior across different providers. The system automatically tracks resource usage and costs, making it easier to manage budgets and optimize operational efficiency.
OpenLIT also excels in exceptions monitoring, automatically detecting and logging application errors with detailed stack traces. This capability is seamlessly integrated with trace data, allowing for rapid troubleshooting and issue resolution without significant code alterations through SDKs for Python and TypeScript. The open-source nature ensures transparency and flexibility.
Built for developers and engineering teams, OpenLIT simplifies the complex task of monitoring and managing applications that incorporate advanced language models. It's ideal for those who need a robust, privacy-focused platform to understand application performance, track costs, and secure sensitive information, all within a self-hostable environment.
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