The latest articles on DEV Community by Andy (@nova_drift). https://dev.to/nova_drift https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F3818835%2F9b066832-9838-4c66-9bed-3f1af35f6373.png https://dev.to/nova_drift en Andy Thu, 12 Mar 2026 16:31:10 +0000 https://dev.to/nova_drift/we-built-a-tool-to-stress-test-ai-agents-with-simulated-conversations-1eg4 https://dev.to/nova_drift/we-built-a-tool-to-stress-test-ai-agents-with-simulated-conversations-1eg4 <p>Hi everyone,</p> <p>A common challenge when building AI agents is anticipating how real users will interact with them. Agents might work perfectly in local tests but still break once they’re in production. Small variations in human behavior can easily expose edge cases that are hard to catch during development.</p> <p>So we built ArkSim, an open-source framework that simulates conversations with synthetic users and stress-tests AI agents to help catch these issues earlier.</p> <h2> <strong>What does ArkSim do:</strong> </h2> <p>ArkSim simulates multi-turn conversations between synthetic users and your agent so you can see how it behaves across longer interactions.</p> <p>This can help surface issues like:</p> <ul> <li><p>Agents losing context during longer interactions</p></li> <li><p>Unexpected conversation paths</p></li> <li><p>Failures that only appear after several turns</p></li> </ul> <p>The idea is to test conversation flows more like real interactions, instead of just single prompts.</p> <h2> <strong>Integration / Examples</strong> </h2> <p>There are example integrations available for:</p> <ul> <li><p>OpenAI Agents SDK</p></li> <li><p>Claude Agent SDK</p></li> <li><p>Google ADK</p></li> <li><p>LangChain / LangGraph</p></li> <li><p>CrewAI</p></li> <li><p>LlamaIndex </p></li> </ul> <p><a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2F9c9czj4sdykbytdezzxd.png" class="article-body-image-wrapper"><img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2F9c9czj4sdykbytdezzxd.png" alt="an image depicting an example integration with LangChain" width="800" height="590"></a><br> <a href="https://github.com/arklexai/arksim/tree/main/examples/integrations/langchain" rel="noopener noreferrer">https://github.com/arklexai/arksim/tree/main/examples/integrations/langchain</a></p> <h2> <strong>Repo</strong> </h2> <p>If you want to check it out:<br> <a href="https://github.com/arklexai/arksim" rel="noopener noreferrer">https://github.com/arklexai/arksim</a></p> <p>Would love feedback from anyone building agents, especially around how people are currently testing multi-turn conversations.</p> showdev opensource agents