As AI agents grow more complex, reasoning, using tools, and making decisions, traditional evals fall short. LangWatch Scenario simulates real-world interactions to test agent behavior. It’s like unit testing, but for AI agents.
We're excited to be launching LangWatch Scenario the first and only testing platform that allows you to test agents in simulated realities, with confidence and alongside domain expertise.
The problem that we’ve found is that teams are building increasingly complex agents, but testing them is still manual, time-consuming, and unreliable. You tweak a prompt, manually chat with your agent, hope it works better... and repeat. It's like shipping software without unit tests.
Our solution: Agent simulations that automatically test your AI agents across multiple scenarios. Think of it as a test suite for agents — catch regressions before they hit production, simulate edge cases alongside domain experts in a collaborative fashion, and ship with confidence.
What makes us different:
🧠 Agent simulations that act as unit tests for AI agents
🧪 Simulate multi-turn, edge-case scenarios
🧑💻 Code-first, no lock-in, framework-agnostic
👩⚕️ Built for domain experts and not just devs
🔍 Catch failures before users see them
✅ Trust your agent in production, not just evals
🏗️ Works with any agent framework (LangGraph, CrewAI, etc.)
LangWatch scenarios is our latest breakthrough that will allow teams to ship agents with confidence, not crossed fingers.
