
LangWatch
LangWatch - the measurement layer for AI agents
About LangWatch
Best for: AI engineering teams, Product managers, Developers building LLM agents, Enterprises deploying AI agents
Key features
- Simulates realistic user interactions with AI agents for multi-turn testing
- Evaluates agent responses for quality, accuracy, and policy adherence
- Provides observability into agent steps, costs, and latency in production
- Supports prompt management with versioning, deployment, and A/B testing
- Offers adversarial testing to uncover safety and security gaps
- Integrates with multiple frameworks and supports both local and CI/CD runs
- Allows evaluation of text, images, and mixed media outputs
- Provides both cloud and self-hosted deployment options
Use cases
- Testing AI agents with simulated user conversations before deployment
- Evaluating production agent performance and identifying regressions
- Red-teaming agents to identify vulnerabilities and unsafe behaviors
- Managing and versioning prompts for continuous improvement
- Monitoring token usage and costs for AI agent operations
- Running evaluations and experiments from notebooks or the UI
Pros
- Free tier available for getting started
- Open-source scenario SDK for Python and TypeScript
- No credit card required to begin using the platform
- Supports both cloud and self-hosted deployments
Limitations
- Free tier limited to 50k events/month, 14-day data access, and 2 users
Screenshots

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