Stop Guessing. Start Shipping
Reliable Agents.

KATE provides the observability layer your agentic workflows are missing. Simple integration and framework agnostic, run rigorous quality evals, and peel back the curtain on every autonomous decision.

Get StartedView SDK
projectkate.com/dashboard
KATE Traces — waterfall timeline showing LLM, tool, and chain spans

Works with your stack

LangChainOpenAIAnthropicCrewAIPydanticAIDeepEval

Everything you need to ship reliable agents

Auto-Instrumentation

Drop-in SDK captures every LLM call, tool use, and chain step automatically. Zero config tracing.

Automated Hallucination Detection

Run faithfulness, relevance, and hallucination checks on every agent response automatically. Catch quality regressions before your users do.

Debug Multi-Step Reasoning in Real-Time

Waterfall timelines reveal exactly how your agent reasons through multi-step tasks. Drill into any span to inspect inputs, outputs, and latency in real-time.

Rigorous Evals, Zero Guesswork

Category scores, metric breakdowns, and pass/fail verdicts for every agent run — all in one view.

projectkate.com/dashboard
KATE Evals — category scores and metric breakdown table

How KATE Compares

Built specifically for agentic loops, not just RAG chains.

FeatureKATELangSmithArize Phoenix
Built for agentic loopsYesPartial (RAG-focused)Partial
Auto-instrumentationYes, zero-configManual setupManual setup
Hallucination detectionBuilt-inSeparate tool neededBuilt-in
Open sourceYesNoYes
Framework agnosticYesLangChain-firstYes
Self-hostableYesNoYes

Built for Production

Performance

< 2ms overhead per LLM call. KATE's SDK uses async batching to stay out of your agent's hot path.

Security & Privacy

Your data stays yours. Self-host KATE or use our cloud — all trace data is encrypted in transit and at rest. No model inputs are stored unless you opt in.

Integrations

Native support for LangGraph, CrewAI, and PydanticAI. Framework-agnostic SDK works with any Python agent.

How KATE Works

ThoughtActionObser-vationKATEcaptures everything

Get started in minutes

1

Install the SDK

pip install projectkate

2

Instrument your agent

One-line init wraps your LLM calls automatically

3

View results

Traces and eval scores appear in your dashboard instantly

Ready to improve your agents?

Sign in with Google to get your API key and start sending traces in under 5 minutes.

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