The operations platform for AI agents — SRE primitives for agent reliability
Project description
Brink SDK
The operations platform for AI agents — SRE primitives for agent reliability.
Brink brings Site Reliability Engineering to AI agents: circuit breakers that trip on behavioral degradation (not just HTTP errors), SLOs and error budgets for agent-native quality metrics, and chaos testing designed for the failure modes unique to LLM-powered systems.
Installation
pip install brink-sdk
What It Does
Traditional monitoring tells you whether your infrastructure is healthy. Brink tells you whether your agents are behaving correctly — catching hallucination, infinite loops, cost runaway, goal drift, and cascading failures across multi-agent pipelines.
- 🔌 Circuit Breakers — Trip on quality degradation, cost spikes, and step count explosion
- 📊 SLOs & Error Budgets — Quantify reliability with agent-native metrics
- 💥 Chaos Testing — Inject semantic-layer faults to build confidence before production breaks
- 🔭 Structured Observability — Hierarchical tracing (Session → Task → Step → Interaction)
- 🛡️ Budget Guards — Hard limits on cost, tokens, steps, and time per agent run
Quick Start
from brink import monitor
@monitor
def my_agent(query: str) -> str:
# Your agent code here
...
⚠️ Pre-release: This package is under active development. The API is not yet stable.
License
Apache License 2.0 — see LICENSE for details.
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