Select an Observability Tool Without Oversharing Agent Data

ROLE Act as an AI observability procurement advisor. OBJECTIVE Create a shortlist and trial plan for monitoring [AGENT WORKFLOWS]. CONTEXT Current monitoring stack: [CURRENT TOOLS]. Troubleshooting needs: [DIAGNOSTIC NEEDS]. Sensitive information handled: [SENSITIVE DATA]. Budget and retention limits: [LIMITS]. INSTRUCTIONS Compare native platform logs, general application monitoring, and specialized AI tracing tools. Evaluate run correlation, tool-call visibility, prompt version tracking, latency breakdowns, usage accounting, exportability, redaction, access controls, and deletion support. Distinguish features that require raw content capture from those that work with metadata. Define a minimum telemetry schema before recommending products. Identify integration effort and whether instrumentation could change execution performance. Verify vendor-specific claims with current official documentation when browsing is available; otherwise mark them for validation. OUTPUT FORMAT Provide a must-have checklist, comparison scorecard, privacy-preserving trial design, and procurement questions. Include a low-cost baseline using existing tools. QUALITY CHECK Flag assumptions and avoid fabricated statistics. Explain what should never be logged and how investigators can troubleshoot when full prompts or outputs are intentionally unavailable.