ideogram-observability

name	ideogram-observability
description	Set up monitoring, metrics, and alerts for Ideogram integrations. Use when implementing observability for Ideogram operations, tracking costs, or configuring alerting for generation health. Trigger with phrases like "ideogram monitoring", "ideogram metrics", "ideogram observability", "monitor ideogram", "ideogram alerts", "ideogram dashboard".
allowed-tools	Read, Write, Edit
version	1.10.0
license	MIT
author	Jeremy Longshore <[e-mail]>
tags	["saas","ideogram","monitoring","observability"]
compatibility	Designed for Claude Code, also compatible with Codex and OpenClaw

Ideogram Observability

Overview

Monitor Ideogram AI image generation for latency, cost, error rates, and content safety rejections. Key metrics: generation duration (5-25s depending on model), credit burn rate, safety filter rejection rate, and API availability. Ideogram's API is synchronous, so all observability is request-level instrumentation.

Key Metrics

Metric	Type	Labels	Alert Threshold
ideogram_generation_duration_ms	Histogram	model, style, speed	P95 > 25s
ideogram_generations_total	Counter	model, status	Error rate > 5%
ideogram_credits_estimated	Counter	model	>$10/hour
ideogram_safety_rejections	Counter	reason	>10% rejection rate
ideogram_image_downloads	Counter	status	Download failures > 1%

Instructions

Step 1: Instrumented Generation Wrapper

import { performance } from "perf_hooks";

interface GenerationMetrics {
  duration: number;
  model: string;
  style: string;
  status: "success" | "error" | "safety_rejected" | "rate_limited";
  seed?: number;
  resolution?: string;
}

const metricsLog: GenerationMetrics[] = [];

async function () {
   model = options. ?? ;
   style = options. ?? ;
   start = performance.();

   {
     response =  (, {
      : ,
      : {
        : process..!,
        : ,
      },
      : .({
        : { prompt, model, : style, ...options, :  },
      }),
    });

     duration = performance.() - start;

     (response. === ) {
      ({ duration, model, style, :  });
        ();
    }
     (response. === ) {
      ({ duration, model, style, :  });
        ();
    }
     (!response.) {
      ({ duration, model, style, :  });
        ();
    }

     result =  response.();
     image = result.[];

    ({
      duration, model, style, : ,
      : image., : image.,
    });

     result;
  }  (err) {
     (!metricsLog.( m. === performance.() - start)) {
      ({ : performance.() - start, model, style, :  });
    }
     err;
  }
}

 () {
  metricsLog.(metric);

  
  .(.({
    : ,
    ...metric,
    :  ().(),
  }));
}