Documentation Index

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FAQs
Glossary

    FAQs

      • How can I Track Token Usage and Cost Across Different LLM Models?
      • How can I Monitor Complex AI Agent Workflows in Production?
      • How do I Monitor Tool Calls in My AI Agents?
      • Is Maxim AI Compatible with OpenTelemetry (OTel)?
      • What is Agent Observability and Why do I Need It?
      • Can I Get Alerted for Any Regressions In Cost, Latency, or Any Other Evaluation Metrics?
      • How can I Observe and Evaluate Multi-Turn Trajectories with Maxim AI?
      • How can I Collect And Add User Feedback To A Trace?
      • How can I Evaluate Voice Agents with Realistic Voice Simulations?
      • How can I Integrate Maxim to Trace and Evaluate My Voice Agents?
      • What are Traces and Spans in Agent Observability?
      • How can I Curate Datasets From My Production Logs?
      • Can I Track Evaluation Costs and Token Usage at the Eval and Repository Levels?
    Observability

    Can I Get Alerted for Any Regressions In Cost, Latency, or Any Other Evaluation Metrics?

    Yes. Maxim AI allows you to track and log comprehensive metrics, including token usage, latency, cost per request, and other performance and quality scores. You can define custom thresholds and receive real-time alerts via Slack or PagerDuty whenever a monitored metric exceeds your specified limits. This helps teams quickly detect and resolve issues in production.

    (See: Learn more about it here.)

    What is Agent Observability and Why do I Need It?
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