Alternatives to AgentOps

Braintrust

Braintrust is aimed at teams operating AI agents in production, from early-stage teams to enterprises.

Langfuse

Langfuse suits teams building AI agent applications that need tracing, prompt management, and evaluation tools.

LangSmith

LangSmith suits teams engineering AI agents that need evaluation, tracing, prompt work, deployment, and production monitoring.

LangWatch

LangWatch suits AI teams shipping agents, including developers, product owners, QA, and domain experts working with evaluation workflows.

Opik

Opik suits teams developing applications or agents that make calls to an LLM and want tracing and evaluation across the development cycle.

Giskard

Giskard suits teams evaluating conversational AI agents for security and quality issues before production.

W&B Weave

Weave suits teams monitoring and evaluating production AI agents, particularly those using supported frameworks and models.

OpenLIT suits teams that need LLM tracing, evaluation, prompt management, and cost tracking, especially those seeking self-hosted deployment.

AX suits teams building AI agents that need tracing, evaluations, investigations, and experiments.

Confident AI

It suits engineers, QA teams, product managers, subject-matter experts, and annotators responsible for AI quality and governance.

Promptfoo

It suits developers and enterprises evaluating prompts or testing AI applications for risks.

Helicone

Helicone suits teams routing and observing AI application requests across model providers, including teams that need self-hosting or LLM cost tracking.

It suits teams operating AI applications that need model, retrieval, tool, prompt, and evaluation tracing.

Laminar

Laminar suits teams instrumenting AI-agent systems that need tracing, evaluations, debugging, and dashboards.

Maxim AI

It suits cross-functional AI teams that need to evaluate agents and monitor them in production.

Fiddler AI

Fiddler positions its platform for enterprises managing AI agents and predictive applications at scale.

Galileo

Galileo is designed for engineers, product managers and subject matter experts building AI applications.

HoneyHive

HoneyHive is aimed at AI platform teams, AI engineers, domain experts, and risk or governance teams.

It suits teams building production LLM applications that need evaluations, production observability, prompt testing, or human review.

Respan suits teams that need to route model requests while tracing and evaluating AI workflows in production.