Openlit
Real-time monitoring and management for AI application performance.
OpenLIT is designed for managing the performance of generative AI and large language models. It allows users to visualize application performance, monitor requests, and track errors.
With OpenLIT, managing application secrets and prompts becomes straightforward. The tool integrates seamlessly with various observability platforms, making it easier for teams to collaborate and share insights. It also helps with analyzing the cost implications of using different AI models, enabling informed decision-making.
By providing a centralized place for data visualization and performance tracking, OpenLIT simplifies the complexities of application management in the AI space.
- Monitor application performance in real time
- Track errors and exceptions effortlessly
- Manage prompts for AI models centrally
- Visualize request tracing across services
- Evaluate multiple LLMs side by side
- Analyze cost implications of LLM usage
- Streamline secret management for applications
- Integrate with Datadog for enhanced observability
- Generate detailed performance reports easily
- Facilitate collaboration within development teams
- Easy integration with existing applications
- Open-source and community-driven
- Real-time performance monitoring
- Comprehensive error tracking
- Centralized prompt and secret management
Transform audio, video, or text into various content types quickly.
Real-time error tracking and application performance monitoring.
Visual analytics and monitoring for diverse data sources.
Centralized monitoring for data, applications, and performance insights.
Unified observability for monitoring logs and application performance.
Monitor and debug large language model applications in real-time.
Real-time application performance monitoring and crash alerting.
Real-time error tracking for developers to enhance software reliability.
Product info
- About pricing: Free
- Main task: Performance insights
- More Tasks
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Target Audience
Software Developers AI Engineers Data Scientists Application Managers DevOps Professionals