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# Manual Tracing, Scores, and Evaluation with Langfuse (Self-Hosted)

**[PyImageSearch](https://daily.dev/sources/pyimagesearch)** · 25 min read · 0 upvotes · 0 comments

## Summary

A hands-on guide to LLM observability using self-hosted Langfuse, covering manual tracing with the low-level API versus decorator-based tracing, attaching custom evaluation scores and quality metrics to traces, and running vLLM health checks before executing any pipeline. The tutorial walks through building explicit trace hierarchies with parent traces and child generation spans, computing lightweight quality scores based on answer length and latency thresholds, and logging structured metadata to the Langfuse dashboard. A dedicated health-check script validates vLLM server availability, model readiness, and generation capability before any tracing begins.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://pyimagesearch.com/2026/05/25/manual-tracing-scores-and-evaluation-with-langfuse-self-hosted>

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---

Tags: [#llm](https://daily.dev/tags/llm), [#llm-observability](https://daily.dev/tags/llm-observability), [#python](https://daily.dev/tags/python), [#vllm](https://daily.dev/tags/vllm)

[View this post on daily.dev](https://daily.dev/posts/manual-tracing-scores-and-evaluation-with-langfuse-self-hosted--7tcswttul)

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