Kelet

Kelet is a production reliability platform for AI agents and LLM applications that continuously reads your traces, clusters failure patterns across thousands of sessions, and surfaces root causes backed by evidence — not guesswork. It generates targeted prompt patches and measures before/after reliability so you know the fix actually held. Teams connect their first agent in under five minutes with no infrastructure changes required.

• Automated Root Cause Analysis: Kelet reads every trace so you don't have to — failure patterns surface in minutes with evidence, not gut feeling.
• Prompt Patch Generation: From root cause to a ready-to-ship prompt patch, with before/after reliability measurements to confirm the fix worked.
• Signal Collection: Collects human signals (thumbs-down, edited responses, abandoned conversations) and synthetic LLM-as-judge evaluators to guide investigation.
• Multi-Agent Support: Handles multi-agent architectures natively, with credit assignment that identifies exactly which agent in a chain caused a failure.
• OpenTelemetry-Native Integration: Fully OTEL-compliant — any instrumented agent works out of the box; also integrates with Langfuse, Mixpanel, PostHog, and more.
• Framework Compatibility: Works with LangChain, LangGraph, PydanticAI, Mastra, CrewAI, AutoGen, LlamaIndex, Haystack, Semantic Kernel, OpenAI, Anthropic, and Gemini APIs.
• Continuous Operation: Runs 24/7 on Kelet's SOC 2 certified infrastructure — ingesting traces, finding patterns, and proposing fixes without manual intervention.
• Private Model Fine-Tuning: Automatically fine-tunes a private set of models per sub-agent, trained on your traces and never shared.
• Quick Setup: Install via pip install kelet or npm install kelet, add two lines to your agent code, and traces start flowing immediately.