Agentic Observability
Monitor and observe AI agents and LLM applications
Agentic Observability
Learn how to monitor AI agents and LLM-powered applications with Parseable.
Overview
As AI agents become more prevalent, observability becomes critical for understanding their behavior, debugging issues, and ensuring reliability.
Key Metrics to Track
- Token Usage - Monitor input/output tokens per request
- Latency - Track response times for LLM calls
- Error Rates - Monitor failed requests and retries
- Cost - Track API costs across different models
Best Practices
- Log all LLM interactions with full context
- Track tool calls and their outcomes
- Monitor agent decision paths
- Set up alerts for anomalous behavior
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