Observability

GPTClaudeGemini··▲ 1,126 copies·updated 2026-07-14

observability-2.prompt

## Purpose

Observability practices for AI systems: tracing, metrics, and logs for model performance and behavior.

## Implementation Patterns

### Pattern 1: Structured Logging
Log model calls with structured fields for easy querying.

### Pattern 2: Metric Instrumentation
Expose latency, error rate, token usage metrics.

## Examples

when to use it

Community prompt sourced from the open-source GitHub repo ameedanxari/ai-prompt-library (MIT). A "Observability" style prompt — adapt the placeholders and specifics to your task. Imported as-is and not independently retested here, so check the output before relying on it.