---
title: "Inside the LLM Call: GenAI Observability with OpenTelemetry"
url: https://daily.dev/posts/inside-the-llm-call-genai-observability-with-opentelemetry-cde3px0h9
source_url: https://opentelemetry.io/blog/2026/genai-observability
type: article
source: "OpenTelemetry"
published: 2026-05-14T15:18:16.446Z
updated: 2026-05-14T15:18:40.612Z
tags: ["llm", "genai", "observability", "opentelemetry"]
reading_time: 4
upvotes: 0
comments: 0
language: en
---

> ## Documentation Index
> Fetch the complete documentation index at: https://daily.dev/llms.txt
> Use this file to discover all available pages before exploring further.

# Inside the LLM Call: GenAI Observability with OpenTelemetry

**[OpenTelemetry](https://daily.dev/sources/opentelemetry)** · 4 min read · 0 upvotes · 0 comments

## Summary

OpenTelemetry's Semantic Conventions for Generative AI provide standardized observability for LLM-powered applications. The walkthrough covers exporting GenAI telemetry from VS Code Copilot (and other tools like Claude Code and OpenAI Codex), configuring the Aspire Dashboard as a local OTLP-compatible backend, and exploring traces, metrics, and events. Key attributes include model names, token counts, finish reasons, and optionally full prompt/response content. Metrics like operation duration and token usage help estimate costs, detect latency regressions, and monitor usage patterns across models and agents.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://opentelemetry.io/blog/2026/genai-observability>

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Tags: [#llm](https://daily.dev/tags/llm), [#genai](https://daily.dev/tags/genai), [#observability](https://daily.dev/tags/observability), [#opentelemetry](https://daily.dev/tags/opentelemetry)

[View this post on daily.dev](https://daily.dev/posts/inside-the-llm-call-genai-observability-with-opentelemetry-cde3px0h9)
