“opentelemetry”
Monitoring for Anomalous Tool Sequences: Detecting Exfiltration
Detect agent data exfiltration by tracing tool calls as OpenTelemetry spans and flagging anomalous tool sequences per trace.
Event Sourcing Agent Decisions: Replaying Past Runs for Debugging
Record every agent decision as an immutable event, pair it with OTel GenAI traces, and replay past runs to reproduce and regression-test failures.
Dashboarding Agent Fleets: From Spans to Business Metrics
A pipeline for turning OpenTelemetry agent spans into the metrics leadership actually asks about — task success, cost per task, and escalation rate — without losing the drill-down to a single trace.
Trace Spans for Tool Calls: Instrumenting Function Execution
Instrument agent tool calls with OpenTelemetry spans: span structure, trace and span IDs, parent relationships, attributes versus events, status codes, wrapping sync and async tools, and the schema that makes tool spans queryable instead of just present.
Decision Logs as First-Class Data: Post-Mortems for Multi-Agent Systems
Treat agent decisions as structured, queryable data using OpenTelemetry logs and traces — and turn post-mortems into an automated, evidence-driven practice.
Trace Sampling in High-Volume Agent Systems
Head-based, tail-based, and parent-based sampling with OpenTelemetry — how to keep 1% of traces that still tell the whole story.
Metrics for Agent Health: Error Rates, Tokens, and Turn Length
A concrete OpenTelemetry metric set for LLM agents — golden signals, instrument choice, cardinality discipline, exemplars, and a dashboard layout you can ship.
Tracing MCP Tool Calls with OpenTelemetry
Instrument Model Context Protocol (MCP) tool executions and agent workflows with OpenTelemetry distributed tracing for end-to-end observability.
Distributed Tracing for Multi-Agent Systems
Implement distributed tracing for multi-agent systems using OpenTelemetry. Track tool calls, reasoning chains, and inter-agent communication across your fleet.
Agent Evaluation with OpenTelemetry GenAI Semantic Conventions
Evaluate AI agent performance using OpenTelemetry and GenAI semantic conventions. Build observability pipelines that track tool calls, latency, cost, and quality.
Observability for Agents: Tracing Tool Calls and Reasoning
An agent is a loop, not a single API call. Instrument it with OpenTelemetry AGENT/LLM/TOOL spans and a shared trace_id so you can attribute bad reasoning, slow dependencies, and tool failures.
End-to-End OpenTelemetry Tracing for ADK Agents
Instrument Google ADK agent harnesses with OpenTelemetry to capture full-trajectory execution traces, tool latencies, and token metrics.
MLflow Observability for Google ADK
Learn how to use MLflow Tracing to observe and debug Google ADK agents and tools using OpenTelemetry.