Tool overview
OpenLIT is listed under AI Infrastructure & MLOps AI tools.
What is OpenLIT?
OpenLIT provides open-source observability for language-model applications and agents. It captures traces, metrics, costs, prompts, evaluations, and guardrail signals through OpenTelemetry-compatible instrumentation and a self-hosted platform.
Best for
Engineering teams operating observable language-model applications and agents
Who is it for?
Decision note
Rebuilt from the original export under the complete V411 factual-source-verification workflow. Preview only. Apply remains blocked until Failures = 0, Warnings = 0, Unmapped = 0, Missing = 0, all explicit clears are reviewed, image import is disabled or V380 accepts the logo asset, one representative WordPress edit screen is compared with the export and proposed row, and a post-Apply zero-change Preview is completed.
Key features
OpenTelemetry-native LLM observability
Traces, metrics, costs, and prompt analysis
Evaluations and guardrail workflows
Self-hosted Docker and Kubernetes deployment
Use cases
Monitor production LLM applications
Trace agent and tool calls
Evaluate prompts and responses
Track model usage and cost
Pros
- Apache-2.0 open-source platform
- Free self-hosted edition
- Supports multiple application SDKs
Limitations
Telemetry can contain prompts, outputs, identifiers, and sensitive application data.
Teams must configure redaction, access control, retention, sampling, and secure deployment before production use.
Pricing details
Billing options
Pricing note
OpenLIT is free to self-host under Apache-2.0. The official pricing page describes managed cloud access as coming soon rather than a currently priced plan.
Supported languages
- English
Integrations
OpenTelemetry
OpenAI
Anthropic
LangChain
LlamaIndex
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