Skip to content
Back to skills

Trace Llm And Agent Workflows With Openllmetry

ASecurity

Add OpenTelemetry-based instrumentation to LLM and agent code so operators can inspect prompts, tool calls, latency, errors, and provider behavior in their existing observability stack.

  • 36 stars
  • 0 votes
  • 0 copies
  • 1 view
  • Added September 2, 2026
ai-agentspythongogitbackendsecuritydocumentation

Security analysis

A92/100
  • mediumInstalls packages at runtime which could introduce malicious dependencies

Pro shows the line behind each finding and how to fix it

Scanned September 2, 2026

npx -y skills add agentskillexchange/skills --skill trace-llm-and-agent-workflows-with-openllmetry --agent claude-code

Installs into .claude/skills of the current project.

Are you the author of Trace Llm And Agent Workflows With Openllmetry?

Add the live security badge to your README. It updates with every re-scan.

Security grade badge for Trace Llm And Agent Workflows With Openllmetry
[![Security: A — Skills Directory](https://www.skillsdirectory.com/api/skills/agentskillexchange-trace-llm-and-agent-workflows-with-openllmetry/badge)](https://www.skillsdirectory.com/skills/agentskillexchange-trace-llm-and-agent-workflows-with-openllmetry)

More formats (shields.io, HTML) on the badges page. Keep it an A: scan every change in CI with Pro.

Download with Pro
SKILL.md
---
name: "Trace LLM and agent workflows with OpenLLMetry"
slug: "trace-llm-and-agent-workflows-with-openllmetry"
description: "Add OpenTelemetry-based instrumentation to LLM and agent code so operators can inspect prompts, tool calls, latency, errors, and provider behavior in their existing observability stack."
github_stars: 7170
verification: "security_reviewed"
source: "https://github.com/traceloop/openllmetry"
author: "Traceloop"
publisher_type: "organization"
category: "Monitoring & Alerts"
framework: "Multi-Framework"
tool_ecosystem:
  github_repo: "traceloop/openllmetry"
  github_stars: 7170
---

# Trace LLM and agent workflows with OpenLLMetry

Add OpenTelemetry-based instrumentation to LLM and agent code so operators can inspect prompts, tool calls, latency, errors, and provider behavior in their existing observability stack.

## Prerequisites

Python, OpenLLMetry or Traceloop SDK, OpenTelemetry-compatible collector or backend

## Installation

Use the upstream install or setup path that matches your environment:
- pip install traceloop-sdk

Requirements and caveats from upstream:
- <a href="https://traceloop.com/docs/openllmetry/getting-started-python"><strong>Get started »</strong></a>
- For a complete guide, go to our [docs](https://traceloop.com/docs/openllmetry/getting-started-python).
- python

Basic usage or getting-started notes:
- Then, to start instrumenting your code, just add this line to your code:
- from traceloop.sdk import Traceloop
- Traceloop.init()

- Source: https://github.com/traceloop/openllmetry
- Extracted from upstream docs: https://raw.githubusercontent.com/traceloop/openllmetry/HEAD/README.md

## Documentation

- https://traceloop.com/docs/openllmetry/getting-started-python

## Source

- [Agent Skill Exchange](https://agentskillexchange.com/skills/trace-llm-and-agent-workflows-with-openllmetry/)

Attribution

Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.

Comments

Loading comments…