Scenario generation + real conversation import - Our scenario generation agent bootstraps your test suite from a description of your agent. But real users find paths no generator anticipates, so we also ingest your production conversations and automatically extract test cases from them. Your coverage evolves as your users do.Mock tool platform - Agents call tools. Running simulations against real APIs is slow and flaky. Our mock tool platform lets you define tool schemas, behavior, and return values so simulations exercise tool selection and decision-making without touching production systems.Deterministic, structured test cases - LLMs are stochastic. A CI test that passes "most of the time" is useless. Rather than free-form prompts, our evaluators are defined as structured conditional action trees: explicit conditions that trigger specific responses, with support for fixed messages when word-for-word precision matters. This means the synthetic user behaves consistently across runs - same branching logic, same inputs - so a failure is a real regression, not noise.Cekura also monitors your live agent traffic. The obvious alternative here is a tracing platform like Langfuse or LangSmith - and they're great tools for debugging individual LLM calls. But conversational agents have a different failure mode: the bug isn't in any single turn, it's in how turns relate to each other. Take a verification flow that requires name, date of birth, and phone number before proceeding - if the agent skips asking for DOB and moves on anyway, every individual turn looks fine in isolation. The failure only becomes visible when you evaluate the full session as a unit. Cekura is built around this from the ground up.
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此外，阿迪达斯推出的宠物运动装同样圈粉无数，精准踩中年轻养宠人群的审美与需求。宠物运动装备看似细分小众、体量有限，背后却是运动品牌对用户生活场景的争夺。对当下年轻人而言，遛狗、户外社交、城市轻运动早已成为日常运动生活的重要组成。
В Москве прошла самая снежная зима14:52
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Оказавшиеся в Дубае российские звезды рассказали об обстановке в городе14:52。Line官方版本下载是该领域的重要参考
莱芒生物研发管线(图源：莱芒生物商业计划书)