Home / Compare / vs Langfuse
AgentBrake vs Langfuse
Langfuse traces and analyzes what your agents did. AgentBrake stops a runaway agent while it's happening. They solve different halves of the problem — observe vs. intercept — and work well together.
AgentBrake vs Langfuse at a glance
| AgentBrake | Langfuse | |
|---|---|---|
| Stops a runaway run in real time | Yes — in-process, per run | No — observes & traces |
| Records / traces runs | Basic live stats | Yes — its core strength |
| Identical-loop detection that halts | Yes | Observe only |
| Hard per-run cost ceiling that halts | Yes | Alerts, not stops |
| Free, source-available (FSL) | Yes | Varies |
| Setup | One line, no proxy | SDK / proxy / dashboard |
| Frameworks | LangChain 1.x & 0.x, CrewAI 1.x | Many |
Langfuse is an open-source LLM observability and tracing platform. The two are complementary, not mutually exclusive — most teams keep their observability stack and add AgentBrake as the control layer that actually stops a run.
When to use which
Use Langfuse to understand and debug agent behavior over time. Use AgentBrake to put a hard, real-time limit on any single run so a loop or cost blowout can't complete. Most teams run both.
Stop your next runaway agent
One line of code. Open source. Works on LangChain 1.x, CrewAI 1.x, and the classic AgentExecutor.
$
Star on GitHub
pip install agentbrake-sdk
Frequently asked questions
- Is AgentBrake a Langfuse alternative?
- Not exactly — Langfuse is observability (it records), AgentBrake is control (it stops). If your goal is to prevent a runaway run from finishing, AgentBrake is the tool; keep Langfuse for tracing.
- Can I use both?
- Yes. They're complementary: Langfuse traces the run, AgentBrake halts it when it crosses a limit.