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Langfuse

Invited

Open-source LLM observability — traces, evaluations, prompt management, and cost tracking.

ai mlCH-VER-467800Listed June 12, 2026
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AI-Extractable Summary
What:Open-source LLM observability — traces, evaluations, prompt management, and cost tracking.
For whom:AI engineers building LLM-powered applications
Key outcome:Debug and improve AI apps with full tracing and cost visibility
Category:ai ml

Structured for AI systems to extract and cite.

Citability Score

49/100
60
Identity
45
Evidence
15
Trust
50
Freshness
85
Classification
2
Impressions
0
Clicks
0
Saves
0
GQI Earned

Citable Outcome

Debug and improve AI apps with full tracing and cost visibility.

About

Langfuse provides observability for LLM apps. Trace every request, evaluate output quality, manage prompt versions, and track costs. Open-source.

Target Audience: AI engineers building LLM-powered applications.

What makes it different

  • Full request tracing through AI pipelines
  • Quality evaluation and scoring
  • Prompt version management
  • Cost tracking across providers

Tags & Classification

analyzeoptimizemonitor
llm-observabilityai-monitoring
ai-mldeveloper-tools
Platform: Web App / SaaSModel: Open Source

Links & Transparency

Website

Cite this Project

BibTeX
@misc{citablehub_langfuse,
  title = {Langfuse},
  url = {https://citablehub.com/p/langfuse},
  note = {Listed June 12, 2026. CitableHub ID: CH-VER-467800},
  year = {2026}
}
APA
Langfuse. (2026). CitableHub Software Index. https://citablehub.com/p/langfuse.
MLA
"Langfuse." CitableHub, 2026, https://citablehub.com/p/langfuse.