Q.Why do I need AI Observability for my LLM application?
A.AI Observability helps identify, debug, and resolve blindspots in your AI stack, providing full visibility into prompts, variables, tool calls, and agents.
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LangWatch
★3.2
💬1307
💲Paid
LangWatch is a comprehensive platform for monitoring, evaluating, and optimizing LLM applications. It gives teams full visibility into their AI stacks with tools for real-time monitoring, automated evaluations, and secure deployment options. The platform supports integration with various LLMs and frameworks, making it suitable for startups and enterprises alike.
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Platform
web
AI QualityAI SecurityAnomaly DetectionDSPy VisualizerData AnnotationGDPR ComplianceISO27001 Certified
What is LangWatch?
LangWatch is an LLM observability and evaluation platform designed to help AI teams monitor, evaluate, and optimize their LLM-powered applications. It provides full visibility into prompts, variables, tool calls, and agents across major AI frameworks, enabling faster debugging and smarter insights. LangWatch supports both offline and online checks with LLM-as-a-Judge and code-based tests, allowing users to scale evaluations in production and maintain performance. It also offers real-time monitoring with automated anomaly detection, smart alerting, and root cause analysis, along with features for annotations, labeling, and experimentations.
Core Technologies
- LLM Observability
- AI Evaluation
- Anomaly Detection
- Root Cause Analysis
- Prompt Engineering
- OpenTelemetry
- GDPR Compliance
Key Capabilities
- Monitor and debug LLM applications in real time
- Evaluate response quality using LLM-as-a-Judge and code-based tests
- Detect hallucinations and factual inaccuracies
- Support multiple LLMs and AI frameworks
- Enable human-in-the-loop workflows for data improvement
- Provide enterprise-grade security and compliance controls
Use Cases
- Identify and resolve blindspots in AI stacks
- Integrate automated evaluations into development workflows
- Maintain reliability and control through real-time monitoring
- Improve training data using human-in-the-loop labeling
- Optimize prompts and few-shot examples for better LLM performance
Core Benefits
- Gain full visibility into LLM application performance
- Automate LLM evaluations and monitoring
- Easily integrate into any tech stack
- Support collaboration between technical and non-technical users
- Ensure data security and compliance with enterprise-grade controls
Key Features
- LLM Observability
- LLM Evaluation
- LLM Optimization
- AI agent testing
- LLM Guardrails
- LLM User Analytics
How to Use
- 1Integrate LangWatch into your existing tech stack
- 2Use the platform to monitor and evaluate your LLM application's performance
- 3Run automated evaluations using LLM-as-a-Judge or code-based tests
- 4Leverage real-time monitoring for anomaly detection and alerts
- 5Collaborate with domain experts to improve data through annotations and labeling
Pricing Plans
Flexible Plans
Explore flexible pricing
Plans for startups to enterprises building LLM apps with observability, evaluations, and security in mind
Frequently Asked Questions
Q.What are AI or LLM evaluations?
A.AI or LLM evaluations involve running both offline and online checks with LLM-as-a-Judge and code-based tests to measure response quality and detect hallucinations or factual inaccuracies.
Q.What models and frameworks does LangWatch support?
A.LangWatch supports all LLMs, including OpenAI, Claude, Azure, Gemini, Hugging Face, and Groq, as well as frameworks like LangChain, DSPy, Vercel AI SDK, LiteLLM, and LangFlow.
Q.Is LangWatch self-hosted available?
A.Yes, LangWatch offers self-hosted or hybrid deployment options, allowing you to deploy on your own infrastructure for full control over data and security.
Q.Can I try LangWatch for free?
A.Yes, LangWatch offers a free plan to get started.
Pros & Cons (Reserved)
✓ Pros
- Full visibility into LLM application performance
- Automated LLM evaluations and monitoring
- Easy integration into any tech stack
- Supports multiple LLMs and frameworks
- Collaboration features for technical and non-technical users
- Enterprise-grade controls for data security and compliance
✗ Cons
- Pricing may vary based on usage and plan
- Self-hosting requires infrastructure management
- Some features may require a learning curve to fully utilize
Alternatives
No alternatives found.