Does it support distributed tracing across services?

Yes, it provides utilities for trace context propagation, allowing you to correlate logs and traces across external service calls using standard headers.

Does this skill support non-Microsoft agent frameworks?

No, this skill is specifically optimized for the Microsoft Agent Framework and its unique observability implementation patterns.

What metrics are automatically tracked by this skill?

It tracks agent invocations, tool call duration, token usage (prompt and completion), error rates, and workflow step execution out of the box.

Can I use this with the .NET Aspire Dashboard?

Yes, it includes specific configurations and Docker setup instructions to integrate your AI agents with the Aspire dashboard for visual debugging.

Can I set up custom alerts for agent failures?

Yes, the skill provides templates for defining SLIs/SLOs and generating Prometheus alerting rules specifically for agent-based latency and error thresholds.

Microsoft Agent Observability

Name: Microsoft Agent Observability
Author: pagerguild

bypagerguild

분석 및 모니터링

Implements comprehensive monitoring, tracing, and logging for Microsoft Agent Framework applications using OpenTelemetry.

소개

This skill provides expert-level guidance for integrating professional-grade observability into Microsoft Agent Framework systems, enabling developers to monitor performance, trace complex multi-agent workflows, and visualize system health. It simplifies the setup of OpenTelemetry for automatic tracing of LLM calls and tool executions, integrates seamlessly with the .NET Aspire dashboard, and provides standardized patterns for defining service-level objectives (SLOs) and custom alerting rules to ensure production-grade reliability and cost management.

주요 기능

0 GitHub stars
Native support for .NET Aspire Dashboard, Grafana, and Datadog
Seamless OpenTelemetry integration for traces, metrics, and logs
Standardized patterns for defining SLIs/SLOs and alerting rules
Custom metric creation for tracking token usage and execution latency
Automatic tracing for agent invocations, tool calls, and workflow steps

사용 사례

Debugging complex agent-to-agent interactions in a multi-agent workflow
Setting up real-time performance dashboards to identify bottlenecks in tool execution
Monitoring token consumption and LLM costs across production agent services

소개

주요 기능

0 GitHub stars
Native support for .NET Aspire Dashboard, Grafana, and Datadog
Seamless OpenTelemetry integration for traces, metrics, and logs
Standardized patterns for defining SLIs/SLOs and alerting rules
Custom metric creation for tracking token usage and execution latency
Automatic tracing for agent invocations, tool calls, and workflow steps

사용 사례

Debugging complex agent-to-agent interactions in a multi-agent workflow
Setting up real-time performance dashboards to identify bottlenecks in tool execution
Monitoring token consumption and LLM costs across production agent services