What is LangWatch?
LangWatch is a comprehensive LLMops platform designed to help AI teams efficiently monitor, evaluate, and optimize the performance of their Large Language Models (LLMs). The platform offers a scientific approach to quality measurement, enabling teams to build reliable and high-performing AI applications.
LangWatch allows integration into any tech stack. It supports all LLMs like OpenAI, Claude, Azure, Gemini, Hugging Face, and Groq. LangWatch ensures compliance with GDPR, and efforts are underway to achieve ISO27001 certification, and offers self-hosted deployment for enterprise-grade data controls.
Features
- Measure Performance: Evaluate your entire pipeline, not just prompts, allowing to build on top of very reliable parts, it’s like unit test for LLMs.
- Optimization Studio: Automatically find the best prompt and few shot examples for the LLMs, including MIPROv2.
- Collaboration: Drag and drop to collaborate with your team. Bring your Legal, Sales, Customer, HR, Health, Finance or any other domain expert in the loop.
- Dataset Management: Full dataset management to collaborate and set quality standards.
- Quality Evaluators: Create your own quality evaluator or use one of 30+ off-the-shelf ones.
- Performance Tracking: Measure quality, latency, cost, debug the messages and outputs.
- Versioned Experiments: Keep track of best performing pipeline, prompts and models.
- DSPy Integration: Track optimization progress with LangWatch DSPy Visualizer.
- Monitoring and Analytics: Monitor, evaluate and get business metrics from your LLM application.
- Enterprise Security: Self-hosted deployment, role-based access controls, and GDPR compliance.
Use Cases
- Optimize RAG performance
- Improve routing for AI agents
- Enhance categorization accuracy
- Structured vibe-checking
- Build reliable custom evaluations
- Ensure safety and compliance of LLM applications
Related Queries
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LangWatch Uptime Monitor
Average Uptime
100%
Average Response Time
166.77 ms
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