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Introducing Respan Router

LangSmith vs Promptfoo (2026)

Updated March 10, 2026

vs

Overview

Rating
10.0 / 10
Rating
10.0 / 10
Best For
Teams building agents on LangChain or LangGraph who want tracing, evals, and deployment from one vendor
Best For
—
Product Summary

LangSmith is LangChain's platform for tracing, evaluating, and deploying AI agents. Compare its features, pricing, pros and cons, and alternatives.

Product Summary

Promptfoo is an open-source tool for testing and evaluating LLM prompts. It lets developers define test cases, run them against multiple models, compare outputs side-by-side, and catch regressions before deployment. Supports custom scoring functions, red-teaming, and CI/CD integration for automated prompt testing.

Starting Price
Free
Starting Price
$0Per perpetual
Free Trial
Yes
Free Trial
Yes
Free Version
Yes
Free Version
No

Key features

Core capabilities each platform advertises.

LangSmithLangSmith
  • Native tracing for LangChain and LangGraph
  • OpenTelemetry and multi-language SDKs
  • Offline and online evaluations
  • Annotation queues and datasets
  • Prompt Hub with versioning
PromptfooPromptfoo
Data not available

Strengths and tradeoffs

What each tool does well, and the limitations to keep in mind.

LangSmithLangSmith

Pros

  • Native LangChain and LangGraph tracing with no extra instrumentation
  • Evals, datasets, and annotation queues sit in the same workspace as traces
  • Tracing, deployment, and sandboxes from one vendor
  • Framework-agnostic SDKs and OpenTelemetry support

Cons

  • Per-seat pricing on Plus, and the free plan allows one seat
  • 14-day base retention, with longer retention billed at a higher rate
  • LLM Gateway is still in beta
  • Self-hosting and hybrid deployment are Enterprise only
PromptfooPromptfoo

Pros

  • Completely free and open source (MIT license)
  • Fast with quality features like live reloads and caching
  • Built-in red teaming and security vulnerability scanning
  • Trusted by large companies with strong community

Cons

  • CLI-focused creates friction for non-technical users
  • Limited observability for complex production agents
  • No version control for prompts, data, or metrics
  • Offline nature hits ceiling for production scale

LangSmith or Promptfoo — which should you choose?

Choose LangSmith if you want

  • Debugging LangChain and LangGraph agents
  • Evaluating agent output against datasets
  • Human review through annotation queues
  • Deploying long-running agents

Choose Promptfoo if you want

Data not available

Compare LangSmith and Promptfoo on your own traffic

10KFree traces/mo
1,000+Models
5 minSetup

Respan lets you trace LLM and agent calls across any model or framework, A/B test prompts on production traffic, and route requests across 1,000+ models through one gateway.

Try Respan free

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