CrewAI vs Helicone

CrewAI

Helicone

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.

Helicone · 16 features

• Alerts — Thresholds on error rate, latency, cost, usage. Pro+.
• Async Logging — Log AFTER the LLM call via SDK — zero added latency.
• Cost Tracking — Automatic cost calculation per call by provider/model.
• Dashboard — Request tables, aggregate metrics, cost breakdowns.
• Evaluators — LLM-as-judge + custom evaluators on runs.
• Experiments — A/B test different models/prompts.
• HQL (SQL over traces) — Query your logged data with SQL. Pro+.
• PII Redaction — Automatically scrub emails, credit cards, etc. from logs.
• Prompt Caching — Cache identical requests → save money.
• Prompts & Versions — Store + version + A/B test prompts.
• Proxy Mode — 1-line integration via base URL swap. Captures all requests.
• Rate Limiting — Per-user + per-key rate limit policies.
• Reports — Scheduled email reports with KPIs.
• Self-Hosting — Docker + k8s deployment.
• Sessions — Group related calls (chat sessions, agent runs).
• User Metrics — Per-user cost + usage segmentation.