Picket captures every decision your AI agents make — traces, tool calls, context switches, failures — and tells you what went wrong and why, before it matters.
AI agents don't read dashboards. They need structured, queryable telemetry that fits into their own reasoning loops. Picket is the first observability platform designed for agents as first-class users — watching what they do, surfacing failures, and enabling autonomous self-correction.
Drop one SDK into your agent framework. Picket captures every span: tool calls, LLM calls, context retrieval, decision branches — structured, timestamped, queryable.
When an agent drifts, Picket knows before the damage spreads. Real-time scoring, automatic triage, and human-readable failure reports delivered to where you work.
Every agent gets a Picket Score — a composite reliability metric across cost, accuracy, and autonomy. Track trends, catch degradation, improve with data.
Picket doesn't just surface failures — it feeds the context back into your agent's retry loop. Same failure, different outcome.
Built for engineers who care about reliability. Not a re-skinned APM. Not a chatbot wrapper. Real telemetry for real production systems.
Token spend, model latency, and decision accuracy — correlated in a single trace. See exactly where your agent is slow or expensive.
Works with your whole stack: LangGraph, CrewAI, AutoGen, custom frameworks. One observability layer across every agent you're running.
Picket is built for teams who understand that shipping AI agents without observability is like launching rockets without telemetry. Start watching yours.