Farol
AI agent observability. One decorator, that's it.
Farol provides crucial insights into agent performance and costs, ensuring operational transparency. Key capabilities include:
• Real-time cost anomaly detection
• Comprehensive trace inspector for runs
• Quality scoring and regression alerts
• Budget limits per agent for cost control
• Weekly digest emails for performance overview
Integrate Farol with just three lines of code using an open-source SDK. This tool eliminates the need for gateways, proxies, or framework lock-in, offering flexible adoption across various platforms like Anthropic, OpenAI, Gemini, LangChain, and CrewAI. Developers can track token spend, identify sudden increases in cost, and receive alerts before large bills accrue, ensuring financial predictability.
Beyond cost management, Farol offers deep operational visibility. It reconstructs every tool call, language model interaction, duration, and error, providing clear insights into exactly where and why an agent might fail. This eliminates time-consuming log diving and guesswork. The platform also monitors agents for health and quality, tracking success rates and output quality over time, and alerting users to any degradation.
Farol is designed for indie developers and small teams who need robust observability without complexity. It provides proactive warnings on performance trends, detecting when agents become slower, more expensive, or less reliable even before outright failures occur, helping prevent incidents. Share read-only dashboards with stakeholders to showcase performance without requiring them to log in.