Failproof AI
End-to-end reliability for AI agents. Traces every run at the agent runtime, finds where agents fail on its own, and lets you author and enforce a policy that stops the bad action in realtime - deployed on-prem or in the cloud.
LangSmith
Tracing and evals for LangChain and LangGraph. Deeply integrated with that stack - datasets, prompt hub, annotation. Best inside the LangChain ecosystem.
| capability | Failproof AI | LangSmith |
|---|---|---|
| Built for | AI agents | LangChain apps |
| Works with any framework | Any agent / harness | LangChain & LangGraph |
| Agent-level tracing | Agent runtime, deeper | Chain / model level |
| Autonomous failure finding | Automatic | No |
| Policy authoring | Yes | No |
| Realtime policy enforcement | Yes, realtime | No |
| Prompt hub & eval datasets | No | Yes |
| Deployment | Local, on-prem, cloud | Cloud (self-host Enterprise) |
Choose Failproof AI when
- you run high-impact autonomous agents that take real actions
- a wrong action is costly or irreversible
- you need to stop failures at runtime, not just trace them
- you want an end-to-end reliability solution, on-prem or cloud
Choose LangSmith when
- you are all-in on LangChain / LangGraph
- you want a prompt hub and dataset-based evals
- you need chain- and graph-aware tracing
FAQ
Does LangSmith enforce policies?
It traces and evaluates; enforcing an action at runtime is not its job (LangGraph recursion limits are in-framework config, not a policy across agents). Failproof AI authors and enforces policy at the runtime, framework-agnostic.
Does Failproof AI work without LangChain?
Yes - it is framework-agnostic and hooks into any agent runtime, LangChain or not.
Can I use both?
Yes - trace LangChain apps in LangSmith, enforce every agent with Failproof AI.