← AgentShield
Comparison

AgentShield vs LangSmith

LangSmith is LangChain's observability platform — built specifically for LangChain applications. AgentShield is framework-agnostic and adds budget enforcement and no-code support.

FeatureAgentShieldLangSmith
Per-agent cost breakdown✓✗
Per-session cost breakdown✓✓
Session Replay✓✓
Budget caps per agent✓✗
Kill switch per agent✓✗
Anomaly detection✓✗
Guardrails & PII redaction✓✗
No-code support (n8n, Make, Zapier)✓✗
REST API (no SDK required)✓✗
No proxy required✓✓
Managed (zero infra)✓✓
Free tier✓✓

Architecture note

LangSmith is deeply integrated with LangChain. If you use LangGraph, you get automatic tracing. If you use anything else (raw OpenAI, CrewAI, custom agents), you need manual instrumentation.

LangSmith is great if you are

  • ✓100% committed to the LangChain ecosystem
  • ✓Building with LangGraph or LangChain Expression Language
  • ✓Want open-source self-hosting options
  • ✓Need deep LangChain-native tracing

LangSmith limitations

  • ✗Requires LangChain SDK — not usable with raw OpenAI or Anthropic calls
  • ✗No per-agent budget caps or kill switches
  • ✗No no-code support (n8n, Make, Zapier)
  • ✗No PII redaction or guardrails
  • ✗No anomaly detection with statistical baselines
  • ✗LangSmith tracks what happened — not what it cost per agent

Who should choose what

L

Choose LangSmith if

Teams 100% committed to the LangChain stack who need LangGraph tracing.

A

Choose AgentShield if

Teams who want framework-agnostic monitoring, per-agent budget enforcement, no-code support, and PII guardrails — regardless of which LLM framework they use.

Try AgentShield free

Per-agent cost tracking, session replay, budget caps. Free plan. No credit card.

Start Free →

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