Comparison

LangSmith vs Converra

LangSmith helps you trace, evaluate, and debug. Converra runs the full optimization loop — continuously, not just when you have time.

At a glance

Dimension
LangSmith
Converra
Primary job
Trace, evaluate, debug
Optimize & deploy
Output
Traces, eval scores, datasets
Validated prompt improvements
Iteration model
You run evals, you decide changes
Autonomous loop + approvals
Testing approach
You build datasets + scorers
Offline head-to-head simulation
Variant generation
Manual (prompt hub)
Auto-generated, targeted edits
Deployment
Prompt hub versioning
Gated deploy, instant rollback

Deciding in 60 seconds?

  • Need tracing, evals, and prompt versioning? LangSmith.
  • Need prompts to improve without running the loop yourself? Converra.
  • Many teams use both: LangSmith for tracing + evals, Converra for autonomous optimization.

When to use LangSmith

LangSmith is excellent for teams building eval infrastructure:

  • Tracing and debugging LangChain applications
  • Building and maintaining eval datasets
  • Scoring prompts with custom evaluators
  • Managing prompt versions in the hub
  • Team collaboration on prompt iteration

When to use Converra

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

  • Prompts improving continuously without manual cycles
  • Variant generation based on production patterns
  • Head-to-head simulation before any deployment
  • No eval dataset required to get started
  • Regression testing against what already works

LangSmith gives you the tools. Converra runs the loop.

Better together

Converra integrates directly with LangSmith. Keep LangSmith for tracing and evals — Converra runs the optimization loop.

1

Connect your LangSmith workspace

2

Converra syncs traces and learns production patterns

3

Validated improvements ship with full audit trail

Frequently asked questions

Can I use both LangSmith and Converra?

Yes. LangSmith is great for tracing and building eval infrastructure. Converra runs the optimization loop autonomously. Many teams use LangSmith for visibility and Converra for improvement.

I already have evals in LangSmith. Do I need to rebuild them?

No. Converra generates its own test coverage from personas and production patterns. Your LangSmith evals remain useful for your own validation — Converra is additive.

How does the integration work?

Connect using your LangSmith API key. Converra syncs traces continuously and uses real production patterns to inform variant generation and simulation scenarios.

What about the LangSmith Prompt Hub?

The Prompt Hub is for versioning and collaboration. Converra is for autonomous optimization. You can use both — Converra ships validated changes, your team can still review in the Hub.

Is Converra a LangSmith alternative?

Not a replacement — they're complementary. LangSmith gives you tracing, evals, and prompt versioning. Converra runs the optimization loop autonomously. If you want prompts to improve without running the loop yourself, Converra is what you need.

See Converra in action

Connect your LangSmith workspace and see what autonomous optimization looks like for your agents.

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