SpendFirewall vs LangSmith
SpendFirewall vs LangSmith
An honest, side-by-side comparison. LangSmith is llm observability. SpendFirewall is spend firewall for ai agents. Different tools for different jobs.
Quick comparison
| Dimension | LangSmith | SpendFirewall |
|---|---|---|
| Positioning | LLM observability | Spend firewall for AI agents |
| Pricing | From $39/seat/mo | See pricing |
| Best for | LLM observability | Spend firewall for AI agents |
What LangSmith does well
- Excellent tracing
- Token-level cost attribution
- Prompt evaluation tools
Where SpendFirewall wins
- Spend firewall for AI agents
- Built specifically for the spend firewall use case
- Tighter scope, faster workflow
Where LangSmith falls short
- Observation only, not enforcement
- Sees the burn after it happens
- Cannot block a transaction
- Not purpose-built for spend firewall workflows
Our honest verdict
LangSmith tells you why your agent burned $400. SpendFirewall stops it before it does.
Frequently asked questions
Do I need both?
Most production agent teams do. LangSmith for debugging, SpendFirewall for guardrails.