Your agent cost $40 and took 34 seconds. But why? OpenObserve traces every agent session across models, tools, services, datastores, and user sessions so you can see exactly where time, money, and quality went. Detect loops, run online evals, and follow failures from the LLM call through your backend and database, alongside the logs, traces, and metrics from the rest of your production stack.
痛点：开发者调试 AI agent 时难以定位成本、延迟和质量问题的来源。
目标用户：构建 LLM/AI agent 应用的开发者、AI 平台团队、SRE/可观测性团队。
证据：Your agent cost $40 and took 34 seconds. But why? OpenObserve traces every agent session across models, tools, services, datastores, and user sessions so you can see exactly where time, money, and quality went.
变现：开源核心 + 云托管订阅，按 trace/ingest 量或 seat 收费；企业版提供 SSO、审计、数据留存等能力。
MVP：面向 OpenAI/LangChain 的轻量 tracing SDK + 成本/延迟瀑布图 + loop 检测，支持导出 OpenTelemetry，2 周内可做出可用原型。
竞品：LangSmith、Langfuse、Helicone、Arize Phoenix、Braintrust、W&B Weave、Traceloop、OpenLLMetry
摘要：OpenObserve 在 Product Hunt 发布 AI Observability，主打 OpenTelemetry 原生的 agent/LLM 可观测性，能追踪模型、工具、服务、数据存储等调用链，定位成本、延迟和质量问题。帖子用“agent 花费 $40 且耗时 34 秒，但为什么”切入痛点，获得 219 票，但未提供明确付费意愿或收入数据。赛道有多个成熟竞品，独立开发者需找细分场景切入。