The best Lunary alternatives
The rest of Best AI LLM Observability Tools, in this site's order.
Weave suits teams building or operating production AI agents that need tracing, evaluations, interaction monitoring, or prompt comparisons.
Opik suits teams developing applications or agents that call an LLM and need to inspect, evaluate, and monitor their behavior.
Langfuse suits teams building AI agent applications that need tracing, prompt management, and evaluation tools.
LangWatch suits AI teams working on agents, including developers, product owners, QA, and domain experts involved in evaluation workflows.
Agenta suits teams that want to create and operate AI agents across work tools, with cloud or self-hosted deployment options.
OpenLIT suits developers who want to observe LLM applications, prompts, evaluations, and costs.
LangSmith suits teams developing AI agents that need evaluation, prompt tools, tracing, and production monitoring.
It is designed for cross-functional AI teams, including product managers who want to define and analyze evaluations without code and developers who…
Braintrust is intended for teams running AI agents in production, from early-stage projects to enterprise deployments.
It suits teams building or operating AI applications that need provider routing, request tracing, or cost visibility.
It is designed for engineers, QA teams, product managers, subject-matter experts, and annotators working on AI quality, evaluation, or production…
Respan suits startup and enterprise teams tracing workflows, evaluating agent behavior, and monitoring production AI systems.
Fiddler AI is aimed at enterprises managing AI agents and predictive applications at scale, including teams that need monitoring, guardrails, and…
Portkey suits teams building or operating applications that use multiple AI models and need routing, activity monitoring, and prompt management.
PromptLayer suits engineers and domain experts who need to manage prompts, evaluate changes, and observe AI product activity together.
Arize AX suits teams working to observe, evaluate, and improve AI agents in production.
Galileo is designed for engineers, product managers, and subject matter experts building AI applications.
It suits AI platform teams, AI engineers, domain experts, and risk and governance teams that need production agent visibility.
Phoenix suits teams that need to inspect AI application traces and compare evaluation results across versions.