AI AGENTS
openlit
by OpenLIT
Overview
Open-source AI engineering platform for monitoring, debugging, and improving LLM applications with observability, tracing, evaluations, prompt management, guardrails, GPU monitoring, and related tools.
Details
OpenLIT is an open-source platform for AI engineering. The project describes OpenTelemetry-native LLM observability, GPU monitoring, guardrails, evaluations, prompt management, Vault, and Playground features, with integrations for 50+ LLM providers, vector databases, agent frameworks, and GPUs. Its official site and docs describe tooling for monitoring, debugging, and improving LLM applications, including tracing, scalable AI observability, SDKs for LLMs and agents, and a Controller for zero-code LLM and agent observability.
When to Use
Use OpenLIT when you need OpenTelemetry-native observability and tracing for LLM or agent applications. Use it to monitor debug and improve LLM applications with evaluations prompt management guardrails and related AI engineering workflows. Use it when your stack needs integrations across LLM providers vector databases agent frameworks or GPU monitoring.
Getting Started
- Visit the OpenLIT website to review the platform overview: https://openlit.io/
- Read the official documentation overview: https://docs.openlit.io/latest/overview
- Inspect the open-source repository for setup instructions
- examples
- and project activity: https://github.com/openlit/openlit
Key Features
- •OpenTelemetry-native LLM observability
- •Tracing for LLM and agent applications
- •GPU monitoring
- •Guardrails
- •Evaluations
- •Prompt management
- •Vault and Playground tools
- •SDKs for LLMs and agents
- •Controller for zero-code LLM and agent observability
- •Integrations with 50+ LLM providers
- •vector databases
- •agent frameworks
- •and GPUs
Capabilities
- •llm-observability
- •agent-observability
- •tracing
- •evaluations
- •prompt-management
- •guardrails
- •gpu-monitoring
- •opentelemetry
Last updated Jun 5, 2026