Manouk here, I m the co-founder of LangWatch, and today we re incredibly excited to launch LangWatch Scenario, the first platform built for systematic AI agent testing.
Over the last 6months, we ve seen a massive shift: teams are moving from simple LLM calls to full-blown autonomous agents, handling customer support, financial analysis, compliance, and more. But testing these agents is still stuck in the past.
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.
How do you validate an AI agent that could reply in unpredictable ways?
My team and I have released Agentic Flow Testing an open-source framework where one AI agent autonomously tests another through natural language conversations.
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