Kelet Launches Automated Root‑Cause Tool for LLM Agents
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- Kelet offers automated root‑cause analysis for production LLM agents, clustering failure patterns and surfacing evidence‑backed fixes without manual trace review.
- Kelet integrates with any self‑hosted agent, supporting frameworks such as LangChain, LangGraph, Google ADK, and APIs from OpenAI, Anthropic, Gemini, and LiteLLM.
- Kelet can be connected in five minutes via an installer skill or pip/npm, requiring just two lines of code and no infrastructure changes, thanks to full OpenTelemetry compliance.
- Kelet runs on its own SOC 2‑certified servers, ingesting traces 24/7 and charging only for usage after a free tier with no credit‑card requirement.
- Kelet differentiates itself from observability tools (e.g., Langfuse, Arize) by not just displaying traces but diagnosing root causes and generating targeted prompt patches.
- Kelet handles multi‑agent architectures, assigning credit to the specific hop that caused a failure, and can start delivering insights with as few as 200 sessions and three configured signals.
Why it matters: AI developers save up to 30% of their weekly engineering time by automating trace analysis, while teams can ship fixes faster and with evidence‑backed reliability measurements; the free‑to‑start, usage‑based service also lowers the cost of maintaining production LLM agents and reduces the risk of silent failures that could degrade user experience.
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