Comparison

Langfuse vs Converra

Langfuse gives you visibility into what your agents are doing. Converra turns that into simulation-tested fixes — automatically, not just when you have engineering time.

At a glance

Dimension
Langfuse
Converra
Primary job
Observe & debug
Optimize & deploy
Output
Traces, metrics, dashboards
Validated prompt improvements
Who acts on insights
Your team (manual)
Diagnose + fix + validate
Testing approach
You build evals
Simulates head-to-head offline
Deployment
Not included
Versioned, gated, rollback
Best for
Understanding behavior
Improving behavior

Deciding in 60 seconds?

  • →Need to understand failures, cost, or latency? Langfuse.
  • →Need prompts to improve without assigning engineers? Converra.
  • →Most teams use both: Langfuse for observability, Converra for optimization.

When to use each

When to use Langfuse

Langfuse is excellent when you need to understand what your agents are doing:

  • Debugging production issues: trace through multi-step agent calls
  • Cost and latency monitoring: see where tokens go
  • Building eval datasets: annotate and curate examples
  • Team visibility: dashboards everyone can read

When to use Converra

Converra is built for teams who've hit the ceiling on manual optimization, where the next improvement costs more than it's worth:

  • Prompts improving continuously without manual cycles
  • Changes validated before production exposure
  • No need to build and maintain eval infrastructure
  • Deployment with versioning and instant rollback

Langfuse shows you what broke. Converra fixes it.

Better together

Converra integrates directly with Langfuse. Keep Langfuse for observability, and Converra runs the optimization loop.

1

Connect your Langfuse project

2

Converra pulls production conversations automatically

3

Optimized prompts ship with full audit trail

View integration docs

Frequently asked questions

Can I use both Langfuse and Converra?

Yes. They solve different problems. Use Langfuse for visibility into what's happening, and Converra for making it better. Many teams use both.

Does Converra replace Langfuse's evals?

Converra runs its own simulations and doesn't require you to build eval datasets. If you have existing evals in Langfuse, you can still use them. Converra is additive.

How does the integration work?

Connect with your Langfuse API key (read-only access). Converra syncs traces on a schedule you configure. If you have data residency requirements, we'll align on the right setup during onboarding.

What if I'm using LangSmith instead?

Converra also integrates with LangSmith. Same story: observability there, optimization here.

Is Converra a Langfuse alternative?

Not exactly. Langfuse is observability, and Converra turns traces into tested fixes. They solve different problems and work well together. If you're looking for a tool that improves prompts (not just monitors them), Converra is what you need.

Other comparisons: vs LangSmith · vs DSPy · vs Braintrust · vs Patronus · vs Opik · vs Galileo · vs Zenbase

See Converra in action

Connect your Langfuse project and see simulation-tested fixes in action for your agents.

Start for free