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maf-tracing Skill

AI Agent SkillPythonOpen source

Enable tracing and logging for Microsoft Agent Framework (MAF) workflows. Configures OpenTelemetry export to Azure Application Insights and/or a generic OTLP endpoint using environment variables. Adds required packages to requirements.txt. WHEN: enable tracing, add tracing, enable logging, add logging, configure teleme Published by microsoft in promptflow.

What is maf-tracing Skill?

Enable tracing and logging for Microsoft Agent Framework (MAF) workflows. Configures OpenTelemetry export to Azure Application Insights and/or a generic OTLP endpoint using environment variables. Adds required packages to requirements.txt. WHEN: enable tracing, add tracing, enable logging, add logging, configure teleme Published by microsoft in promptflow. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.

Trust signal
95/100
Maintenance signal
90/100
Adoption signal
100/100

Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.

Key capabilities

  • Includes SKILL.md support
  • Reusable instructions support
  • Developers using promptflow

Technical details

Copy skill directory
  • Install or run with Copy skill directory

When to use maf-tracing Skill

  • Use it for developers using promptflow.

Built with

PythonCopy skill directory

Editorial notes

Source

  • Creator: microsoft
  • Repository: microsoft/promptflow
  • Skill file: .github/skills/maf-tracing/SKILL.md

What it does

Enable tracing and logging for Microsoft Agent Framework (MAF) workflows. Configures OpenTelemetry export to Azure Application Insights and/or a generic OTLP endpoint using environment variables. Adds required packages to requirements.txt. WHEN: enable tracing, add tracing, enable logging, add logging, configure teleme

Skill instructions

Enable Tracing & Logging for MAF Workflows Configure OpenTelemetry-based tracing for Microsoft Agent Framework workflows, exporting to Azure Application Insights and/or a generic OTLP endpoint. Triggers Activate this skill when the user wants to: - Enable tracing or logging for a MAF workflow - Export telemetry to Azure Application Insights - Export traces to an OTLP-compatible endpoint (Jaeger, Zipkin, Grafana Tempo, etc.) - Add observability or monitoring to an agent-framework project - Debug or inspect executor/agent/LLM spans in a MAF workflow Background MAF automatically emits OpenTelemetry spans for every executor invocation, agent call, and LLM request. No instrumentation changes are needed inside Executor classes. You only need to: 1. Configure an exporter — where spans are sent (Application Insights, OTLP endpoint, or both) 2. Call configureotelproviders() — activates MAF's built-in instrumentation This must happen once at application startup, before any workflow.run() calls.

Explore related resources

Frequently asked questions

What is maf-tracing?

maf-tracing is a open-source AI agent skill with Copy skill directory. Enable tracing and logging for Microsoft Agent Framework (MAF) workflows. Configures OpenTelemetry export to Azure Application Insights and/or a generic OTLP endpoint using environment variables.

Who is maf-tracing best for?

maf-tracing is best for reusing agent instructions, scripts, and references.

How do I install maf-tracing?

Install or run maf-tracing using Copy skill directory. Check maf-tracing for the latest setup command.

Is maf-tracing actively maintained?

maf-tracing may need a closer maintenance check before production use.

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11,182
Forks
1,111
Last commit
13 days ago
Repository age
3 years
License
MIT

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