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Tracing with OpenTelemetry

📊 Observability & Monitoring 9 min 80 BASE XP

Understanding Agent Behavior

Foundry uses OpenTelemetry standards for distributed tracing, integrated with Azure Monitor Application Insights.

What Tracing Captures

  • LLM calls — Model, tokens, latency, response
  • Tool invocations — Which tools were called, with what arguments
  • Agent reasoning — Decision chains and state transitions
  • Errors — Failed calls, timeouts, content filter triggers

Setup in Code

from azure.monitor.opentelemetry import configure_azure_monitor

# One line to enable full tracing:
configure_azure_monitor(
    connection_string="InstrumentationKey=xxx;..."
)

# All subsequent SDK calls are automatically traced!

Viewing Traces

Traces are viewable in two places:

  • Foundry Portal → Tracing — Quick inspection of agent runs
  • Application Insights → Logs — Advanced KQL queries for deep analysis
🎯 Pro Tip: Always enable tracing in production. When an agent fails, traces show you the exact reasoning chain that led to the failure — invaluable for debugging complex multi-step workflows.
FOUNDRY VERIFICATION
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What standard does Azure AI Foundry use for distributed tracing?
Custom Microsoft protocol
OpenTelemetry
Log4j
Syslog
Watch: 139x Rust Speedup
Tracing with OpenTelemetry | Observability & Monitoring — Azure Foundry Academy