# Langfuse: workflows, use cases, and stacks

> Open-source LLM observability and evaluation platform for traces, prompts, datasets, quality review, and cost tracking.

- Canonical: https://gptnavi.com/tools/langfuse
- Official website: https://langfuse.com
- Category: Developer automation
- Pricing model: Open source
- Has free plan: Yes
- Last materially updated: 2026-08-19
- Best for: AI engineers, Technical founders, Platform teams
- Tags: llmops, observability, open-source

## Quick answer

Langfuse is a open source developer automation option best suited to AI engineers, Technical founders, Platform teams. In the GPTNavi catalog it connects to 1 workflows and 2 compatible stacks.

## Workflows using Langfuse

- [LLM evaluation before production](https://gptnavi.com/workflows/llm-evaluation-before-production) — Compare models and prompts against a fixed task set before an AI feature reaches customers, with traces, cost limits, and human release approval.

## Compatible stacks

- [LLM Evaluation and Observability Stack](https://gptnavi.com/stacks/llm-evaluation-and-observability-stack) — A technical stack for comparing models, tracing AI behavior, measuring quality and cost, and controlling releases with evidence.
- [Open Model Routing Stack](https://gptnavi.com/stacks/open-model-routing-stack) — A practical stack for selecting, evaluating, and operating open or hosted models according to task quality, latency, cost, and fallback rules.

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