Datadog

cloudFree tier (5 hosts)$15/host/mo Infrastructure$31/host/mo APMCustom Enterprise

Best for

Full-stack observability at scale — infrastructure, APM, logs, and LLM tracing in one platform

Limitations

Expensive at scale; LLM observability is newer and less mature than dedicated tools like Langfuse; vendor lock-in on proprietary data format

Features

Llm Tracing
Trace LLM calls, tool invocations, and agent reasoning steps end-to-end
Cost Tracking
Track token usage and cost per request, per agent run, and per model
Evaluation
Score agent outputs against test datasets with automated evaluators
Prompt Management
Version, manage, and A/B test prompts in production
Real Time Monitoring
Live dashboards and alerting for agent performance metrics

Frameworks

langchainopenai-agents

SDK Languages

pythonjavascriptgojavarubycsharpphp

Compliance

soc2hipaagdprpci-dssiso27001

Datadog

Datadog is a comprehensive cloud monitoring and observability platform. For AI agent developers, it offers LLM Observability as an extension of its existing APM product — tracing LLM calls, token usage, latency, and error rates alongside traditional infrastructure metrics.

The main advantage is consolidation: if your team already uses Datadog for infra and APM, adding LLM tracing means one fewer vendor. The tradeoff is that its LLM-specific features are less deep than purpose-built tools like Langfuse or Langsmith.

Last verified: 2026-04-28Verified by: editorial