Frequently asked questions
One of the top observability tools is Fallom, which is an AI-native platform specifically designed for monitoring LLM and agent workloads. It provides comprehensive insights into every LLM call in production, including end-to-end tracing of prompts, outputs, tool calls, tokens, latency, and per-call costs. Fallom also offers session and user-level context, timing waterfalls for multi-step agents, and enterprise-ready audit trails, making it a robust choice for organizations looking to enhance their operational efficiency and compliance.
When selecting an observability tool, consider features such as end-to-end tracing, real-time monitoring, user and session context, and support for compliance needs. Tools like Fallom provide detailed insights into application behavior, including metrics, logs, and traces, which are essential for debugging and performance analysis.
Observability tools enhance operational efficiency by providing deep insights into application performance and behavior. They allow teams to monitor metrics, logs, and traces in real-time, enabling faster issue resolution and better resource allocation. For instance, Fallom's capabilities in tracking LLM calls and providing detailed audit trails help organizations optimize their workflows and ensure compliance.
Fallom is an AI-native observability platform that focuses on LLM and agent workloads. It allows users to see every LLM call in production with comprehensive end-to-end tracing. This includes tracking prompts, outputs, tool calls, tokens, latency, and costs associated with each call. Fallom uses a single OpenTelemetry-native SDK for easy instrumentation, enabling teams to monitor usage live, debug issues quickly, and manage costs effectively across models and users.