Comparison · LLM observability
AgentShield vs
LangSmith
LangSmith is the LangChain-built observability tool. Great for debugging chains. AgentShield adds the governance layer LangSmith doesn't try to cover.
Feature
AgentShield
LangSmith
Tracing
Yes — every call
Yes — chain runs
Pre-execution guardrails
Yes (check_guardrails)
No
Risk scoring
Built-in
Manual eval
Budget caps
Yes
No
EU AI Act reports
Auto-generated
DIY
Free tier
3 agents, forever
Limited traces
Stack agnostic
Yes
LangChain-first
Choose AgentShield when:
- Pre-execution guardrails (<100ms blocking)
- Risk scoring on every response
- Budget enforcement built-in
- EU AI Act Article 12 compliance reports out of the box
- Stack-agnostic — works without LangChain
Choose LangSmith when:
- You're already deeply invested in LangChain ecosystem
- Your team needs detailed chain-step debugging UI
- Your AI is research/exploratory, not production
Try it before deciding.
Run the Stress Test on your agent. 30 seconds. No signup. See if AgentShield fits your stack.