PrivacyProxy vs Langfuse

Two tools that complement each other: PII protection meets LLM observability. Understand the difference.

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Quick Verdict

Langfuse is an LLM observability tool (tracing, evals, prompts). PrivacyProxy is a privacy proxy (PII masking). They solve different problems and can be used together!

PrivacyProxy: Privacy & Compliance Langfuse: Observability & Debugging
Langfuse
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PrivacyProxy

Better Together?

Yes! You can combine both tools: PrivacyProxy masks PII → LLM call → Langfuse traces the call. This gives you observability AND privacy. Langfuse also integrates directly with LiteLLM (our foundation).

Different Categories

Langfuse

Open-source LLM engineering platform. Tracing, prompt management, evaluations, cost tracking. Helps you understand what your LLM app is doing.

langfuse.com

PrivacyProxy

GDPR-compliant LLM proxy. Masks PII before data goes to LLM providers. Helps you comply with data protection.

privacyproxy.dev

Feature Comparison

Feature Langfuse PrivacyProxy
Category Observability Platform Privacy Proxy
Main Purpose Debug & optimize LLM apps Mask PII & ensure GDPR compliance
PII Masking No Automatic (420+ patterns)
LLM Tracing Comprehensive (Traces, Spans, Sessions) No
Prompt Management Yes (Versioning, Playground) No
Evaluations Yes (LLM-as-Judge, Scores) No
LLM Proxy No (integrates with LiteLLM) Yes (OpenAI-compatible)
Open Source Yes (MIT License) No (code audit available)
Pricing Free tier, Pro from $59/mo From €29/mo

When to Use Which?

Use Langfuse when...

  • You want to trace and debug LLM calls
  • You need to manage prompt versions
  • You want to evaluate LLM outputs
  • You want to track costs per feature

Use PrivacyProxy when...

  • You work with customer data in prompts
  • GDPR compliance is required
  • PII must not go to LLM providers
  • You serve healthcare, legal, or finance

GDPR Compliance for Your LLM App

Automatically mask PII before data goes to LLM providers. Can be combined with Langfuse for full observability.

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