OpenLIT
7.7#9 in ai agent observability toolsFree planFree planWebAPILinuxmacOS
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| Fact | OpenLIT | Opik |
|---|---|---|
| Guardrails | The SDK includes guards for prompt injection, jailbreak and sensitive-topic detection using LLM and regular-expression checks. | Self-hosted deployments can use PII, topic and custom guardrails to detect or block unsafe inputs and outputs. |
| Integrations | The home page advertises more than 56 integrations spanning LLMs, agent frameworks, vector databases and GPUs. | The integration catalog covers TypeScript, Python, Java, .NET and Ruby ecosystems plus no-code tools and OpenTelemetry. |
| Prompt management | Prompt Hub provides prompt versioning, dynamic variables, API retrieval and AI-assisted prompt improvement. | Its prompt tools provide a library, version history, playground, composable prompt building and dataset-based comparisons. |
| Rating on G2 | 5.0 out of 5 from 1 review. | No rating; 0 reviews listed for Opik |
| Self-hosting | Docker Compose runs the UI on port 3000, OTLP receivers on ports 4317 and 4318, and ClickHouse for traces, metrics and logs; Kubernetes Helm deployment is also documented. | Self-hosting exposes the full feature set but omits user-management features; local Docker installation is for getting started, while Kubernetes is the production deployment option. |
| Support | The OSS plan includes community support on GitHub. | The pricing page lists community and self-service support across plans, email support for Pro and Enterprise, and dedicated support and SLAs for Enterprise. |
| System requirements | The local sandbox requires Docker and Docker Compose; Kubernetes users install the published Helm chart. | The documented local setup assumes Git and Docker; Linux, macOS and Windows installation scripts are provided. |
OpenLIT may suit developers who need LLM tracing, evaluations, prompt workflows and cost visibility. It is especially relevant to those who want to self-host and keep prompts and traces in their environment.
Opik is for teams building LLM applications or agents that need tracing, evaluation, and production monitoring. Its free plans are described as suitable for development and testing.