{"categories":[{"label":"Monitoring","url":"https://skillfed.io/packages/category/system-monitoring/4"}],"enrichment":{"capability":"Captures and visualizes the internal execution of LLM application flows (DAG and Flex) with OpenTelemetry-compatible tracing for observability.","skillfed_tags":["llm-observability","opentelemetry","langchain-integration"],"use_cases":["Debug LLM application behavior by tracing execution flow and identifying where failures or unexpected outputs occur.","Monitor production LLM applications to measure latency, token usage, and API call patterns across Flex Flow or DAG Flow pipelines.","Integrate tracing into langchain or semantic kernel applications to gain visibility into agent decision-making and tool calls.","Export traces to an observability backend (e.g., Jaeger, Datadog) for centralized monitoring and analysis of LLM workflows.","Profile and optimize LLM application performance by identifying bottlenecks in multi-step flows."],"what_it_does":"promptflow-tracing is a tracing library designed to instrument LLM applications built with Prompt Flow, Flex Flow, or other frameworks like langchain and semantic kernel. It integrates with OpenTelemetry to capture detailed execution traces\u2014showing how data flows through your LLM application, where time is spent, and what inputs and outputs occur at each step. This is useful for debugging, monitoring, and understanding the behavior of complex LLM pipelines.\n\nThe package sits on top of three core dependencies: openai for LLM calls, opentelemetry-sdk for the tracing infrastructure, and tiktoken for token counting. It is actively maintained by Microsoft, supports Python 3.9 through 3.13, and carries no known security vulnerabilities. Installation is straightforward and the maintenance signal is strong.","worth_installing":"Yes. If you are building LLM applications with Prompt Flow, langchain, or similar frameworks and need observability, this package provides a low-friction, actively maintained way to add OpenTelemetry-compatible tracing. No known vulnerabilities, permissive license, and straightforward dependencies make it a safe choice."},"id":"promptflow-tracing","links":{"html":"https://skillfed.io/packages/promptflow-tracing","md":"https://skillfed.io/packages/promptflow-tracing.md","pypi":"https://pypi.org/project/promptflow-tracing/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-05-01","license_spdx":null,"license_treatment":"permissive","name":"promptflow-tracing","python_support":"supports_current","summary":"Prompt flow tracing"},"popularity":{"monthly_downloads":209678,"position":9511,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"1.18.5"}