Parseable

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

  1. Log all LLM interactions with full context
  2. Track tool calls and their outcomes
  3. Monitor agent decision paths
  4. Set up alerts for anomalous behavior

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