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.
Helicone
A one-line proxy in front of the LLM API - logging, caching, rate limits, and cost tracking on model traffic. Lowest-effort observability.
| capability | Failproof AI | Helicone |
|---|---|---|
| Built for | AI agents | LLM calls |
| What it sees | Agent runs & actions | LLM requests only |
| Autonomous failure finding | Automatic | No |
| Policy authoring | Yes | No |
| Realtime policy enforcement | Yes, realtime | No |
| LLM caching / rate limits | No | Yes |
| Deployment | Local, on-prem, cloud | Self-host / cloud |
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 Helicone when
- you want a drop-in proxy for LLM logging in minutes
- you need caching, rate limiting, or cost control on model calls
- your focus is model traffic, not agent behavior
FAQ
Can Helicone stop an agent from taking a bad action?
No - it proxies the LLM API and can cache, rate-limit, and log model traffic, but the agent tool calls (bash, git, files) never pass through it. Failproof AI finds failures and enforces at the agent runtime.
Does Failproof AI cache or rate-limit LLM calls?
No - it is not a gateway. Use Helicone for that; use Failproof AI to govern what the agent does.
Can I use both?
Yes - Helicone in front of the model, Failproof AI at the agent runtime.