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AgentBrake vs LangSmith
LangSmith traces and evaluates LangChain runs. AgentBrake enforces hard real-time limits that halt a run. On LangChain 1.x, AgentBrake uses middleware specifically because callbacks can observe but not stop a LangGraph agent.
AgentBrake vs LangSmith at a glance
| AgentBrake | LangSmith | |
|---|---|---|
| Stops a runaway run in real time | Yes — in-process, per run | No — traces & evaluates |
| 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 |
LangSmith is LangChain's observability and evaluation 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 LangSmith to debug, test and evaluate your chains and agents. Use AgentBrake to guarantee a single run can't loop forever or exceed a cost ceiling. They cover different stages — development vs. runtime safety.
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 tied to LangChain like LangSmith?
- No. AgentBrake supports LangChain (1.x and 0.x) and CrewAI, with a framework-agnostic core engine.
- Does it work with LangGraph?
- Yes — via middleware, which runs inside the LangGraph execution graph so it can actually halt the run.