Frequently asked questions
Fallom is an AI-native observability platform specifically designed for large language model (LLM) and agent workloads. It provides comprehensive visibility into every LLM call in production through end-to-end tracing, which includes details such as prompts, outputs, tool calls, tokens, latency, and per-call costs. Fallom also offers session, user, and customer-level context, along with timing waterfalls for multi-step agents. Additionally, it features enterprise-ready audit trails that include logging, model versioning, and consent tracking to meet compliance requirements. With its OpenTelemetry-native SDK, teams can quickly instrument applications, monitor usage in real-time, debug issues more efficiently, and allocate spending across models, users, and teams.
Using observability platforms like Fallom provides several benefits, including enhanced monitoring of application performance and user experience. These platforms allow organizations to gain deep insights into application behavior, which helps in optimizing infrastructure and improving overall reliability. With features like end-to-end tracing, real-time monitoring, and detailed audit trails, teams can quickly identify and resolve issues, ensure compliance, and make informed decisions based on accurate data.
Fallom supports compliance needs through its enterprise-ready audit trails, which include comprehensive logging, model versioning, and consent tracking. These features ensure that organizations can maintain transparency and accountability in their observability practices, making it easier to adhere to regulatory requirements and industry standards.