Langfuse vs CrewAI

Langfuse

CrewAI

Langfuse · 16 features

• Annotation Queues — Human reviewers rate traces. Unlimited on Pro+.
• Dashboards — Aggregate metrics, cost, quality across projects.
• Datasets — Curate test sets from production traces. Run experiments.
• EU Cloud Region — GDPR-compliant hosting in EU.
• Evaluations — LLM-as-judge, manual scores, custom model-graded evaluators.
• LLM Cost Tracking — Automatic cost calculation per provider/model.
• OpenTelemetry Native — OTel SDK → Langfuse endpoint works out of box.
• Playground — Test prompts + models + variables live.
• Prompt Management — Version, tag, label prompts. Reference from code by label.
• Public API — Full REST API for ingest, query, prompt management.
• Python @observe decorator — One-line decorator to trace any function.
• Self-Hosting — Docker Compose + k8s Helm chart.
• Sessions — Group related traces (conversations, agent runs).
• Tracing — Capture every LLM call, tool call, nested span with inputs/outputs/cost.
• Users Tracking — Segment traces by user ID, track per-user cost.
• Webhooks — Subscribe to trace completion events.

CrewAI · 11 features

• CrewAI Enterprise UI — Managed cloud for deploying + monitoring crews.
• Hierarchical Process — Manager agent delegates to workers.
• Human Input — human_input=True pauses for human review/approval.
• MCP Tool Support — Consume MCP servers as Agent tools.
• Memory — Short-term, long-term, entity memory per Crew/Agent.
• Observability Integrations — Langfuse, LangSmith, AgentOps, OpenLIT.
• Planning Feature — Optional planner agent that plans before task execution.
• Task Guardrails — Validate task output + retry with feedback.
• Testing — Test Crews deterministically with eval metrics.
• Tools — 70+ pre-built tools (search, scrape, file, vision, code exec).
• Training — Train agents from feedback loops.