Documentation
Observability and automated error diagnosis for AI agents.
Welcome to Risicare documentation. Learn how to instrument your AI agents, diagnose failures automatically, and generate fixes for your agent errors.
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What is Risicare?
Risicare is an observability and error-diagnosis platform for AI agents. It provides:
- Automatic Instrumentation - Trace LLM calls with zero code changes
- Decision-Level Observability - Track THINK/DECIDE/ACT phases
- Error Diagnosis - Classify failures using a 154-code taxonomy
- Fix Generation - Generate fix recommendations across 7 fix types
- Self-Healing (roadmap) - Automatic fix deployment, A/B testing, and learning are under active development (details)
Quick Links
Quickstart
Get tracing working in 5 minutes
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View Dashboard
Explore the observability dashboard
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Workflow
Follow the six-phase workflow (Instrument → Observe → Diagnose ship today; Heal → Deploy are on the roadmap):
Instrument
Add observability to your agents
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Observe
View traces, spans, and sessions
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Diagnose
Automatic error classification
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Heal
Generate and validate fixes
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Deploy
Safe deployment with A/B testing
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Admin
Manage projects and team
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Progressive Integration
| Tier | Code | What You Get |
|---|---|---|
| 0 | RISICARE_TRACING=true | All LLM calls traced |
| 1 | import risicare | Explicit configuration |
| 2 | @agent() | Agent identity tracking |
| 3 | @session | User session grouping |
| 4 | @trace_think/decide/act | Decision phase tracking |
| 5 | @trace_message/delegate | Full multi-agent support |