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Last update time : 2026-01-24 13:53:11

Fallom introduces an OpenTelemetry-native platform to trace AI calls, monitor costs, and automate LLM evaluations, streamlining AI agent debugging and deployment.

In an era where AI reliability is paramount, Fallom has emerged as a critical player in the developer ecosystem by launching its comprehensive LLM observability platform. Designed to pull back the curtain on complex AI interactions, Fallom provides engineering teams with an automated way to trace every single AI call. By capturing vital data points—including prompts, token usage, latency, and tool invocations—the platform transforms raw logs into actionable insights through real-time dashboards and grouped session traces.

Beyond simple monitoring, Fallom addresses the core challenges of modern AI development: cost management and model performance. The platform features robust A/B testing capabilities for both models and prompts, alongside built-in LLM evaluations to ensure output quality. For organizations operating in regulated industries, Fallom’s full audit trails provide the necessary compliance framework to scale AI operations safely.

Integration is designed to be frictionless. Utilizing a lightweight, OpenTelemetry-native SDK for TypeScript and Python, developers can wrap their existing LLM clients in just minutes. This low-overhead approach allows teams to immediately begin debugging AI agents, attributing costs accurately, and managing multi-provider model rollouts with confidence. As AI moves from experimental labs to production environments, Fallom provides the visibility required to keep these systems efficient and accountable.

Pricing : Freemium

Web Address : Fallom

Tags : LLM observability AI monitoring Fallom AI tracing OpenTelemetry LLM debugging AI cost attribution prompt engineering AI compliance TypeScript SDK Python SDK