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Fiddler AI vs LangSmith (2026)

Updated March 9, 2026

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Overview

Rating
10.0 / 10
Rating
10.0 / 10
Best For
Enterprises in regulated industries (financial services, healthcare, insurance, government) running AI agents and predictive ML models
Best For
Teams building agents on LangChain or LangGraph who want tracing, evals, and deployment from one vendor
Product Summary

Fiddler AI is an enterprise platform for observing, evaluating, and governing AI agents and ML models, with guardrails that run in your own environment.

Product Summary

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

Starting Price
0
Starting Price
Free
Free Trial
No
Free Trial
Yes
Free Version
Yes
Free Version
Yes
Website

Key features

Core capabilities each platform advertises.

Fiddler AIFiddler AI
  • Agentic observability across multi-step agent workflows
  • Continuous evaluations from testing through production
  • Inline guardrails for PII, PHI, prompt injection, and jailbreaks
  • AI governance, risk, and compliance reporting
LangSmithLangSmith
  • Native tracing for LangChain and LangGraph
  • OpenTelemetry and multi-language SDKs
  • Offline and online evaluations
  • Annotation queues and datasets
  • Prompt Hub with versioning

Strengths and tradeoffs

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

Fiddler AIFiddler AI

Pros

  • Covers AI agents and predictive ML models in one platform
  • Evaluations and guardrails run in-environment, with no external LLM API call per check
  • Free tier includes real-time guardrails
  • Supports SaaS, VPC, on-premises, and AWS GovCloud deployment

Cons

  • The free tier covers guardrails only; observability starts on the paid Developer plan
  • VPC and on-premises deployment require the Enterprise plan
  • Every plan on the pricing page starts with a demo request rather than self-serve signup
  • No model routing or provider failover, so a gateway is a separate tool
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

Fiddler AI or LangSmith — which should you choose?

Choose Fiddler AI if you want

  • Governing AI agents in regulated industries
  • Monitoring predictive ML models for drift and performance
  • Redacting PII and PHI on agent requests and responses

Choose LangSmith if you want

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

Compare Fiddler AI and LangSmith 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.

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