LangWatch

Monitor, evaluate, and optimize your LLM-powered applications

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LangWatch provides a comprehensive platform for monitoring, evaluating, and optimizing LLM-powered applications. It offers full visibility into your AI applications, improves performance, and ensures reliability in production with features like agent testing, evaluations, and optimization tools.

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How to use LangWatch?

LangWatch can be integrated into your LLM application workflow to monitor performance, evaluate outputs, and optimize prompts. It helps in identifying issues early, ensuring your AI applications are reliable and performant.

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LangWatch 's Core Features

Simulate real user behavior and edge cases daily

Run version-controlled test suites like in CI/CD

Detect regressions with every prompt or workflow update

Understand why an agent failed, not just that it failed

Integrates with 10+ AI agent frameworks in Python and TypeScript

Fully open-source; run locally or self-host

Drag-and-drop prompting techniques for optimization

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LangWatch 's Use Cases

AI developers can use LangWatch to catch edge cases before users do, ensuring smoother deployments.

Teams deploying AI at scale can leverage systematic quality assurance for compliance and security.

Domain experts can collaborate on testing and annotating agent behavior without needing technical knowledge.

Enterprises can use LangWatch for GDPR compliance and ISO27001 certified security measures.

Startups can optimize their LLM applications with LangWatch's flexible framework and open-source options.

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LangWatch 's Pricing

Developer

Free

Free plan with basic features for getting started with LLM monitoring and evaluation

Launch

€59/month

For small teams optimizing their LLM apps with additional traces and support

Accelerate

€199/month

Dedicated support and security controls for larger teams with more traces and users

Enterprise

Custom

Custom solutions for enterprises with self-hosting, enterprise-grade support, and security features

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LangWatch 's FAQ

What is Langwatch Scenario?

Why do I need AI Observability for my LLM application?

What are AI or LLM evaluations?

How does LangWatch compare to Langfuse or LangSmith?

What models and frameworks does LangWatch support and how do I integrate?

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Most impacted jobs

AI Developer

Data Scientist

Machine Learning Engineer

Product Manager

Quality Assurance Engineer

Domain Expert

CTO

AI Lead Researcher

Startup Founder

Enterprise Architect

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LangWatch Youtube Reviews

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LangWatch 's Tags

#LLM#AI Monitoring#Open Source#Agent Testing#Prompt Optimization#AI Evaluation#Compliance

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