Fallom
Fallom provides AI-native observability for LLMs and agents, enabling real-time tracking and cost analysis.
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Fallom is an AI-native observability platform engineered specifically for monitoring and optimizing Large Language Model (LLM) and AI agent workloads in production environments. As organizations increasingly integrate complex AI chains into their core applications, traditional Application Performance Monitoring (APM) tools fall short in providing the granular, semantic visibility required for these non-deterministic systems. Fallom addresses this critical gap by offering end-to-end tracing for every LLM call, capturing essential data points including prompts, outputs, tool calls, token usage, latency, and per-call cost. Designed for engineering, DevOps, and product teams building with AI, its core value proposition lies in transforming opaque AI operations into transparent, debuggable, and cost-controllable processes. By leveraging a single OpenTelemetry-native SDK, Fallom enables teams to instrument applications in minutes, facilitating real-time monitoring, faster debugging of agentic workflows, and precise attribution of AI spend across models, teams, and customers, all while providing the enterprise-grade audit trails necessary for compliance with evolving regulations like the EU AI Act.
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