LangWatch

LangWatch provides AI observability and evaluation tools for testing, monitoring, and improving LLM applications and AI agents, with prompt evaluation, metrics, and production monitoring.

At a Glance

Pricing Freemium

LangWatch is an open-core LLMOps platform designed to test, evaluate, observe, and monitor LLM applications and AI agents. It helps engineering and product teams identify quality, performance, safety, and cost issues across development and production.

The platform combines LLM observability, agent simulations, evaluations, guardrails, prompt management, AI gateway controls, and governance features. It supports multi-turn AI applications and can integrate with existing monitoring workflows through OpenTelemetry.

How LangWatch Works

  • Instrument Applications: Connect LLM applications using OpenTelemetry or supported integrations such as LangGraph and OpenAI agents.
  • Ingest Data: Send application traces directly to LangWatch or route AI requests through the optional AI Gateway.
  • Evaluate & Test: Run evaluations, guardrails, and simulated scenarios using automated and LLM-based judges.
  • Monitor Performance: Track traces, latency, token usage, costs, and application behavior through the dashboard.
  • Govern AI Usage: Review audit trails, user activity, budgets, and anomalies across AI applications.

How We Rated LangWatch

We considered LangWatch's LLM observability, AI agent testing, evaluations, simulations, guardrails, prompt management, AI gateway, governance features, deployment options, integrations, and pricing.

Pros

  • Native OpenTelemetry support
  • Strong multi-turn AI agent testing
  • Cloud and self-hosted deployment options
  • Combines observability, testing, gateway, and governance tools

Cons

  • LLM-based evaluations cannot guarantee absolute correctness or safety
  • Advanced enterprise capabilities require paid plans or custom setups

LangWatch is best suited for:

  • AI and LLM engineering teams
  • Developers building AI agents and voice bots
  • QA and MLOps teams
  • Enterprises with AI governance requirements
  • Teams managing multiple AI applications and API providers

You should choose LangWatch if you want to:

  • Test AI agents before production
  • Evaluate LLM responses and application quality
  • Monitor multi-step LLM and agent interactions
  • Run simulated user scenarios and red-team tests
  • Track latency, token usage, and AI costs
  • Manage prompts and run prompt experiments
  • Add guardrails and governance to AI applications

LangWatch's Key Features

LLM Observability

AI Agent Testing & Simulations

AI Gateway

AI Governance

Prompt Management

Evaluations & Guardrails

Pricing

Free

Free

Growth

$34 /mo

Disclaimer: for the latest and most accurate pricing, please visit the official LangWatch website.

Frequently Asked Questions

What is LangWatch mainly used for?
LangWatch is used to test, evaluate, monitor, and govern LLM applications and AI agents across development and production.
How does LangWatch test AI agents?
It uses multi-turn simulations, scenarios, automated evaluations, and LLM-based judges to test agent behavior and tool interactions.
What LLM evaluation metrics does LangWatch support?
It can evaluate response quality, correctness, relevance, safety, latency, cost, and application-specific criteria through custom evaluations.
How does LangWatch help monitor AI applications?
LangWatch captures traces and tracks metrics such as latency, token usage, costs, errors, and application behavior.
Can LangWatch evaluate prompts and LLM responses?
Yes. It supports prompt evaluation, versioning, experiments, A/B testing, and evaluation of generated LLM responses.
Does LangWatch support testing AI agents before deployment?
Yes. Teams can run simulated user scenarios and red-team tests to identify agent issues before releasing them to production.

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Based on user reviews

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R

Rhea Kapoor

Excellent tool! Saved me hours of work. Highly recommended.

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