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Editorial review
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Langfuse

8.2/10
from 34 reviews

If you run LLM features in production, Langfuse helps you track prompts, outputs, latency, cost, and regressions.

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Langfuse product screenshot
Added February 202612,800 viewsFree tier
Best fit

LLM observability in production

Not ideal for

Buyers who need verified pricing, limits, or compliance details without checking the vendor site

Pricing check

Free access or trial may exist; verify current limits on the vendor site.

Overview

If you run LLM features in production, Langfuse helps you track prompts, outputs, latency, cost, and regressions.

Feature 1
Makes LLM systems debuggable.
🎯
Feature 2
Prompt versioning prevents regressions.
🔧
Feature 3
Good evaluation foundation.
🚀
Feature 4
Integrates with LangChain, OpenAI, LlamaIndex.

Practical use cases

1

Use Langfuse for llm observability in production when you want a focused tool instead of a generic AI assistant.

2

Compare it against other Dev and LLM Ops tools before committing to a paid plan.

3

Start with the main workflow: makes llm systems debuggable.

Pros

  • +Essential for debugging LLM apps

Cons

  • Requires naming conventions

Pricing

Pro
$0
  • Full features
  • Priority support
  • Advanced tools

Questions to ask before choosing Langfuse

Buyer checklist
  • Does the current plan include the features, usage limits, and exports your workflow needs?
  • Can you verify the output quality with your own content, brand rules, and compliance requirements?
  • Are the related tools below a better fit for your category, budget, or team size?