LangWatch
AI Agent Testing and LLM Evaluation Platform
What is LangWatch? Complete Overview
LangWatch is a comprehensive platform designed for testing AI agents and evaluating Large Language Models (LLMs). It provides complete visibility into production AI systems, enabling users to build, evaluate, deploy, monitor, and optimize AI applications. The platform is trusted by AI innovators and global enterprises, offering features like agent simulation, evaluations, prompts, datasets, analytics, and annotations. LangWatch helps teams catch edge cases before users do, ensuring high-quality AI deployments. It supports collaboration between technical and non-technical team members, making it versatile for AI engineers, data scientists, product managers, and domain experts.
LangWatch Interface & Screenshots
LangWatch Official screenshot of the tool interface
What Can LangWatch Do? Key Features
Agent Simulation
Simulate AI agents to test their behavior in various scenarios before deployment. This feature helps identify edge cases and ensures robust performance in real-world applications.
LLM Evaluations
Evaluate the performance of Large Language Models with comprehensive metrics. LangWatch provides real-time evaluations and guardrails to maintain high standards in AI applications.
Traces and Graphs
Track and visualize agent interactions and conversations with detailed traces and graphs. This feature offers insights into agent behavior and session tracking.
Prompt Optimization
Optimize prompts using DSPy and other advanced techniques. LangWatch allows users to experiment with different prompts and evaluate their effectiveness.
Datasets and Annotations
Build and manage datasets for AI training and evaluation. The platform supports auto-building datasets from real-time traces and includes human annotation capabilities.
Analytics and Monitoring
Monitor AI performance with customizable analytics dashboards. Track functional KPIs, costs, and user feedback in real time.
OpenTelemetry Integration
Seamlessly integrate with OpenTelemetry for monitoring and tracing. LangWatch works with any LLM app, agent framework, or model.
Self-Hosting Options
Deploy LangWatch on-prem, in a VPC, or air-gapped for full control over data and compliance. Supports GDPR and enterprise-grade security features.
Best LangWatch Use Cases & Applications
Evaluating RAG Quality
LangWatch helps teams evaluate the quality of Retrieval-Augmented Generation (RAG) systems, ensuring accurate and relevant responses.
Testing Multimodal Voice Agents
Test and optimize voice-based AI agents with multimodal inputs, ensuring seamless user interactions.
Multi-turn Conversations
Simulate and evaluate multi-turn conversations to improve the coherence and context-awareness of AI agents.
Tool Usage Simulations
Ensure AI agents use the right tools for simulations, enhancing their functionality and reliability.
How to Use LangWatch: Step-by-Step Guide
Sign up for a free Developer plan or book a demo to explore LangWatch's features. No credit card is required to get started.
Integrate LangWatch with your AI application using the Python or Typescript SDK, or via OpenTelemetry for custom setups.
Set up traces and evaluations to monitor your AI agents and LLMs. Use the intuitive UI or programmatic methods to configure your monitoring.
Run agent simulations to test edge cases and optimize prompts. Utilize the Evaluation Wizard and DSPy for advanced prompt optimization.
Analyze the results using LangWatch's analytics dashboards. Track KPIs, costs, and user feedback to continuously improve your AI applications.
Scale your usage as needed, upgrading to Launch, Accelerate, or Enterprise plans for additional features and support.
LangWatch Pros and Cons: Honest Review
Pros
Considerations
Is LangWatch Worth It? FAQ & Reviews
LangWatch integrates with your AI applications via SDKs or OpenTelemetry to monitor, evaluate, and optimize AI agents and LLMs in real time.
LLM observability involves tracking and analyzing the performance, behavior, and outputs of Large Language Models to ensure reliability and quality.
Yes, LangWatch offers self-hosted and hybrid deployment options for enterprises needing full control over their data and infrastructure.
LangWatch provides a comprehensive suite for testing, evaluating, and optimizing AI agents, with unique features like agent simulation and DSPy prompt optimization.
Yes, the Developer plan is free and includes 1000 traces/month, 30 days data access, and community support.
LangWatch supports GDPR compliance, ISO27001 reports, and offers enterprise-grade security features like role-based access and audit logs.