Why connecting OTel traces with LLM logs is critical for agent workflows
Blog post from Portkey
Modern AI agents operate through a series of interconnected actions involving APIs, databases, and external tools, but Large Language Model (LLM) interactions often remain isolated from the broader telemetry, leading to challenges in debugging, governance, and cost management. OpenTelemetry (OTel) is widely used for application observability but lacks integration with AI-native workloads, leaving a gap in correlating LLM interactions with system traces. Portkey addresses this by bridging the gap between OTel traces and LLM interactions, offering a unified observability platform that captures the entire agent workflow, from model prompts to system responses. This integration enhances debugging, governance, and cost analysis by providing a comprehensive view of agentic workflows, ensuring that every step of the process is visible and traceable. By combining LLM observability with OTel-based telemetry, Portkey enables teams to effectively manage the complexity of evolving agent operations and ensures end-to-end visibility across the agent lifecycle.
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