Agent Observability
by Monte Carlo · AI · San Francisco, United States
Monitors and troubleshoots AI agents in production
What Agent Observability does
- Deploy customizable LLM-as-judge evaluations, or use templates for relevancy, prompt adherence, and more
- Map agent decisions step-by-step for explainability
- Alert to LLM or tool failures, and timeouts
- Identify bottlenecks and performance degradations
- Integrate with any agents on any platform
- Avoid lock-in by leveraging flexible OpenTelemetry framework
What Agent Observability is used for
- Monitor, trace, and troubleshoot AI agents
- Detect meaningful shifts with anomaly detection
- Alert on LLM or tool failures and timeouts
- Identify bottlenecks and performance degradations
- Map agent decisions step-by-step for explainability
About Monte Carlo
Data and AI observability platform that monitors pipelines, data quality and AI agents.
Monte Carlo in the vendor registry: its products, features and similar vendors.
Also by Monte Carlo
- Data Observability: Detects freshness, volume and schema issues in data
- Agent Trust Platform: Combined observability for data and AI
More in this category: AI software for financial services.
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