LangWatch

LangWatch is a comprehensive platform for monitoring, evaluating, and optimizing large language models (LLMs). It provides AI teams with in-depth insights into prompt performance, variable management, tool integrations, and agent activities across leading AI frameworks, facilitating faster debugging and smarter decision-making.

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About LangWatch

LangWatch offers a robust observability and evaluation platform designed for AI teams working with large language models. It delivers full visibility into prompts, variables, tool calls, and agent interactions across major AI frameworks, enabling rapid debugging and actionable insights. The platform supports both offline and online assessments using LLM-as-a-Judge and code-based tests, allowing scalable evaluations in production environments. Real-time monitoring features include automated anomaly detection, alerting, and root cause analysis, complemented by tools for annotations, labeling, and experiments to refine AI performance continuously.

How to Use

Integrate LangWatch seamlessly into your existing tech stack, supporting a variety of LLMs and frameworks. Use it to monitor performance, evaluate responses, generate business metrics, and iterate data strategies. Domain experts can incorporate human evaluations into workflows to enhance model quality and reliability.

Features

Comprehensive LLM Monitoring

AI Agent Testing and Validation

User Engagement Analytics

Implementation of AI Guardrails

Model Optimization Tools

Automated LLM Evaluation

Use Cases

Enhance data quality through human-in-the-loop annotations and labeling.

Maintain AI reliability with real-time system monitoring.

Automatically identify optimal prompts and few-shot examples.

Detect and troubleshoot blind spots within AI systems.

Embed automated LLM evaluations into development workflows.

Best For

Product ManagersAI EngineersAI ArchitectsAI ResearchersData ScientistsMLOps Engineers

Pros

Automated performance monitoring and evaluation of LLMs

Enterprise-grade security, compliance, and data controls

Collaborative features for diverse teams

Supports multiple AI models and frameworks

Complete visibility into model performance

Easy integration with existing systems

Cons

Pricing depends on usage volume and selected plan

Some features may require a learning curve

Self-hosting demands infrastructure management

Pricing Plans

Choose the perfect plan for your needs. All plans include 24/7 support and regular updates.

Flexible Subscription Plans

Affordable plans designed for startups to large enterprises, focusing on LLM observability, evaluations, and security.

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Frequently Asked Questions

Find answers to common questions about LangWatch

How can I contribute to the LangWatch project?

The current documentation does not specify contribution guidelines. Please visit our GitHub repository for contribution details.

Why is AI observability important for my LLM applications?

AI observability helps identify, debug, and resolve issues in AI systems by providing full visibility into prompts, variables, tool calls, and agent activities.

What does LLM evaluation involve?

LLM evaluations include offline and online checks using LLM-as-a-Judge and code-based tests to assess response quality and detect inaccuracies or hallucinations.

How does LangWatch compare to Langfuse or LangSmith?

The platform offers unique features and integrations; for a detailed comparison, please consult our product comparison resources.

Which models and frameworks are supported by LangWatch?

LangWatch supports all major LLMs, including OpenAI, Claude, Azure, Gemini, Hugging Face, and Groq, along with frameworks like LangChain, DSPy, Vercel AI SDK, LiteLLM, and LangFlow.

Is self-hosting available for LangWatch?

Yes, LangWatch offers self-hosted and hybrid deployment options, enabling full control over data and security.

How are evaluations integrated into workflows?

LangWatch allows automated evaluations to be embedded directly into your development and deployment processes, supporting continuous improvement.

How can I connect my LLM pipelines with LangWatch?

Please refer to our integration guides or support resources for detailed instructions on connecting your pipelines.

Is there a free trial available?

Yes, you can start with our free plan to explore LangWatch’s features and capabilities.

What security and compliance measures does LangWatch implement?

LangWatch is GDPR compliant, ISO27001 certified, and hosts servers within Europe for regional data protection. It also offers role-based access and flexible deployment options.