Fallom
Fallom is an AI-native observability platform for LLM and agent workloads that lets you see every LLM call in production with end-to-end tracing, including prompts, outputs, tool calls, tokens, latency, and per-call cost. We provide session/user/customer-level context, timing waterfalls for multi-step agents, and enterprise-ready audit trails with logging, model versioning, and consent tracking to support compliance needs. With a single OpenTelemetry-native SDK, teams can instrument apps in minutes and monitor usage live, debug issues faster, and attribute spend across models, users, and teams.
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Fallom is an AI-native observability platform designed for LLM (Large Language Model) and agent workloads. It provides comprehensive visibility into every LLM call in production, offering end-to-end tracing that includes prompts, outputs, tool calls, tokens, latency, and per-call cost.
Fallom offers several key features, including session/user/customer-level context, timing waterfalls for multi-step agents, and enterprise-ready audit trails. It also includes logging, model versioning, and consent tracking to support compliance needs.
Fallom helps teams monitor LLM usage by providing a single OpenTelemetry-native SDK that allows for quick instrumentation of applications. This enables teams to monitor usage live, debug issues faster, and attribute spending across models, users, and teams.
Currently, there are no user-generated pros and cons available for Fallom. However, its features suggest that it is a powerful tool for observability in AI workloads, particularly for teams needing detailed insights and compliance support.