Designing and building an AI agent observability and tracing platform -- captures full execution traces across LLM chains, tool calls, and retrieval pipelines using OpenTelemetry-based instrumentation
Designing and building an AI agent observability and tracing platform -- captures full execution traces across LLM chains, tool calls, and retrieval pipelines using OpenTelemetry-based instrumentation. * Implemented real-time analytics engine for latency profiling, token usage tracking, cost attribution, and failure-mode detection across multi-agent workflows. * Built adaptive learning loops that use trace data to surface prompt regressions, hallucination patterns, and retrieval quality drift over time. * Architected system to handle high-throughput streaming telemetry from concurrent LLM sessions with sub-100ms ingestion latency.