Gamma observability

Gamma Observability

Overview

Implement monitoring, logging, and health checks for Gamma API integrations. Since Gamma does not expose rate limit headers or internal metrics, observability is built around your API call patterns, latency, error rates, credit consumption, and generation success rates.

Prerequisites

• Working Gamma integration (see gamma-sdk-patterns)
• Monitoring stack (Prometheus/Grafana, Datadog, or CloudWatch)
• Logging infrastructure

Instructions

Step 1: Instrumented Client

// src/observability/gamma-metrics.ts
interface GammaMetrics {
  requests: number;
  errors: number;
  generations: number;
  completions: number;
  failures: number;
  totalCredits: number;
  totalLatencyMs: number;
  errorsByStatus: Record<number, number>;
}

const metrics: GammaMetrics = {
  requests: 0, errors: 0,
  generations: 0, completions: 0, failures: 0,
  totalCredits: 0, totalLatencyMs: 0,
  errorsByStatus: {},
};

export function createInstrumentedClient(apiKey: string) {
  const base = "https://public-api.gamma.app/v1.0";
  const headers = { "X-API-KEY": apiKey, "Content-Type": "application/json" };

  async function instrumentedRequest(method: string, path: string, body?: unknown) {
    metrics.requests++;
    const start = Date.now();

    try {
      const res = await fetch(`${base}${path}`, {
        method, headers,
        body: body ? JSON.stringify(body) : undefined,
      });
      metrics.totalLatencyMs += Date.now() - start;

      if (!res.ok) {
        metrics.errors++;
        metrics.errorsByStatus[res.status] = (metrics.errorsByStatus[res.status] || 0) + 1;
        throw new Error(`Gamma ${res.status}: ${await res.text()}`);
      }
      return res.json();
    } catch (err) {
      if (!metrics.errorsByStatus[0]) metrics.errorsByStatus[0] = 0;
      metrics.totalLatencyMs += Date.now() - start;
      throw err;
    }
  }

  return {
    generate: async (body: any) => {
      metrics.generations++;
      return instrumentedRequest("POST", "/generations", body);
    },
    poll: (id: string) => instrumentedRequest("GET", `/generations/${id}`),
    listThemes: () => instrumentedRequest("GET", "/themes"),
    listFolders: () => instrumentedRequest("GET", "/folders"),

    // Record completion metrics
    recordCompletion: (creditsUsed: number) => {
      metrics.completions++;
      metrics.totalCredits += creditsUsed;
    },
    recordFailure: () => { metrics.failures++; },
  };
}

export function getMetrics() {
  return {
    ...metrics,
    avgLatencyMs: metrics.requests > 0
      ? Math.round(metrics.totalLatencyMs / metrics.requests) : 0,
    errorRate: metrics.requests > 0
      ? (metrics.errors / metrics.requests * 100).toFixed(2) + "%" : "0%",
    completionRate: metrics.generations > 0
      ? (metrics.completions / metrics.generations * 100).toFixed(1) + "%" : "N/A",
    avgCreditsPerGeneration: metrics.completions > 0
      ? Math.round(metrics.totalCredits / metrics.completions) : 0,
  };
}

Step 2: Structured Logging

// src/observability/logger.ts
function logGammaEvent(event: string, data: Record<string, any>) {
  console.log(JSON.stringify({
    timestamp: new Date().toISOString(),
    service: "gamma",
    event,
    ...data,
    // Never log: apiKey, raw content (may contain PII)
  }));
}

// Usage
logGammaEvent("generation.started", {
  generationId: "gen_abc123",
  outputFormat: "presentation",
  contentLength: 500,
});

logGammaEvent("generation.completed", {
  generationId: "gen_abc123",
  creditsUsed: 42,
  latencyMs: 15000,
});

logGammaEvent("generation.failed", {
  generationId: "gen_abc123",
  error: "Generation failed after 180s",
});

Step 3: Health Check Endpoint

// src/api/health.ts
async function checkGammaHealth() {
  const start = Date.now();
  try {
    const res = await fetch("https://public-api.gamma.app/v1.0/themes", {
      headers: { "X-API-KEY": process.env.GAMMA_API_KEY! },
    });
    const latencyMs = Date.now() - start;

    if (!res.ok) {
      return { status: "unhealthy", latencyMs, error: `HTTP ${res.status}` };
    }
    if (latencyMs > 5000) {
      return { status: "degraded", latencyMs, message: "High latency" };
    }
    return { status: "healthy", latencyMs };
  } catch (err: any) {
    return { status: "unhealthy", latencyMs: Date.now() - start, error: err.message };
  }
}

app.get("/health/gamma", async (req, res) => {
  const health = await checkGammaHealth();
  res.status(health.status === "unhealthy" ? 503 : 200).json(health);
});

Step 4: Prometheus Metrics Endpoint

// src/api/metrics.ts
app.get("/metrics/gamma", (req, res) => {
  const m = getMetrics();
  res.type("text/plain").send(`
# HELP gamma_requests_total Total API requests
# TYPE gamma_requests_total counter
gamma_requests_total ${m.requests}

# HELP gamma_errors_total Total API errors
# TYPE gamma_errors_total counter
gamma_errors_total ${m.errors}

# HELP gamma_generations_total Total generations started
# TYPE gamma_generations_total counter
gamma_generations_total ${m.generations}

# HELP gamma_completions_total Successful generations
# TYPE gamma_completions_total counter
gamma_completions_total ${m.completions}

# HELP gamma_credits_total Total credits consumed
# TYPE gamma_credits_total counter
gamma_credits_total ${m.totalCredits}

# HELP gamma_avg_latency_ms Average request latency
# TYPE gamma_avg_latency_ms gauge
gamma_avg_latency_ms ${m.avgLatencyMs}
  `.trim());
});

Step 5: Alerting Rules

# alerting-rules.yml (Prometheus)
groups:
  - name: gamma
    rules:
      - alert: GammaHighErrorRate
        expr: rate(gamma_errors_total[5m]) / rate(gamma_requests_total[5m]) > 0.1
        for: 5m
        annotations:
          summary: "Gamma error rate above 10%"

      - alert: GammaHealthUnhealthy
        expr: up{job="gamma-health"} == 0
        for: 2m
        annotations:
          summary: "Gamma health check failing"

      - alert: GammaHighCreditBurn
        expr: rate(gamma_credits_total[1h]) > 100
        for: 30m
        annotations:
          summary: "Gamma credit consumption > 100/hour"

      - alert: GammaLowCompletionRate
        expr: gamma_completions_total / gamma_generations_total < 0.8
        for: 15m
        annotations:
          summary: "Gamma generation completion rate below 80%"

Key Metrics to Monitor

Metric	Healthy	Warning	Critical
API error rate	< 5%	5-10%	> 10%
Health check latency	< 2s	2-5s	> 5s
Generation completion rate	> 90%	80-90%	< 80%
Credits per hour	Within budget	75% of budget	Over budget
Average generation time	< 30s	30-60s	> 60s

Error Handling

Issue	Cause	Solution
Metrics not appearing	Scrape config wrong	Check Prometheus targets
Health check flapping	Network jitter	Add for: 2m to alert rules
Credit alerts too noisy	Thresholds too low	Calibrate to your usage pattern
Missing generation metrics	Not calling recordCompletion()	Ensure poll results feed metrics

Resources

• Prometheus Best Practices
• Grafana Dashboards
• Gamma Developer Docs

Next Steps

Proceed to gamma-incident-runbook for incident response.