Skip to main content Implement monitoring, logging, and tracing for Documenso integrations.
Use when setting up observability, implementing metrics collection,
or debugging production issues.
Trigger with phrases like "documenso monitoring", "documenso metrics",
"documenso logging", "documenso tracing", "documenso observability".
npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill documenso-observability ai automation claude-code devops mcp ai-agents
Documenso Observability
Overview
Implement monitoring, structured logging, and health checks for Documenso integrations. Since Documenso does not expose rate limit headers or usage metrics via API, observability is built around your API call patterns, latency, error rates, and webhook delivery.
Prerequisites
Working Documenso integration
Monitoring stack (Prometheus/Grafana, Datadog, or CloudWatch)
Logging infrastructure
Instructions
Step 1: Instrumented Client Wrapper
// src/observability/documenso-metrics.ts
import { Documenso } from "@documenso/sdk-typescript";
interface Metrics {
requestCount: number;
errorCount: number;
totalLatencyMs: number;
errorsByStatus: Record<number, number>;
}
const metrics: Metrics = {
requestCount: 0,
errorCount: 0,
totalLatencyMs: 0,
errorsByStatus: {},
};
export function createInstrumentedClient(): Documenso {
const client = new Documenso({ apiKey: process.env.DOCUMENSO_API_KEY! });
return new Proxy(client, {
get(target, prop) {
const value = (target as any)[prop];
if (typeof value === "object" && value !== null) {
return new Proxy(value, {
get(innerTarget, method) {
const fn = (innerTarget as any)[method];
if (typeof fn !== "function") return fn;
return async (...args: any[]) => {
const start = Date.now();
metrics.requestCount++;
try {
const result = await fn.apply(innerTarget, args);
metrics.totalLatencyMs += Date.now() - start;
return result;
} catch (err: any) {
metrics.errorCount++;
const status = err.statusCode ?? 0;
metrics.errorsByStatus[status] = (metrics.errorsByStatus[status] || 0) + 1;
metrics.totalLatencyMs += Date.now() - start;
throw err;
}
};
},
});
}
return value;
},
});
}
// Expose metrics for Prometheus scraping
export function getMetrics() {
return {
...metrics,
avgLatencyMs: metrics.requestCount > 0
? Math.round(metrics.totalLatencyMs / metrics.requestCount)
: 0,
errorRate: metrics.requestCount > 0
? (metrics.errorCount / metrics.requestCount * 100).toFixed(2) + "%"
: "0%",
};
}
Step 2: Structured Logging // src/observability/logger.ts
import { createLogger, format, transports } from "winston";
const logger = createLogger({
level: process.env.LOG_LEVEL ?? "info",
format: format.combine(
format.timestamp(),
format.json()
),
defaultMeta: { service: "documenso-integration" },
transports: [
new transports.Console(),
// Add file or cloud transport for production
],
});
// Log Documenso operations with structured context
export function logDocumensoOperation(
operation: string,
documentId?: number,
extra?: Record<string, any>
) {
logger.info("documenso_operation", {
operation,
documentId,
...extra,
});
}
// Log errors with full context
export function logDocumensoError(
operation: string,
error: any,
documentId?: number
) {
logger.error("documenso_error", {
operation,
documentId,
statusCode: error.statusCode,
message: error.message,
// Never log API keys
});
}
Step 3: Health Check Endpoint // src/api/health.ts
import { Documenso } from "@documenso/sdk-typescript";
interface HealthStatus {
status: "healthy" | "degraded" | "unhealthy";
latencyMs: number;
message: string;
}
async function checkDocumensoHealth(): Promise<HealthStatus> {
const client = new Documenso({ apiKey: process.env.DOCUMENSO_API_KEY! });
const start = Date.now();
try {
await client.documents.findV0({ page: 1, perPage: 1 });
const latencyMs = Date.now() - start;
if (latencyMs > 5000) {
return { status: "degraded", latencyMs, message: "High latency" };
}
return { status: "healthy", latencyMs, message: "OK" };
} catch (err: any) {
return {
status: "unhealthy",
latencyMs: Date.now() - start,
message: `${err.statusCode ?? "unknown"}: ${err.message}`,
};
}
}
// Express endpoint
app.get("/health/documenso", async (req, res) => {
const health = await checkDocumensoHealth();
const httpStatus = health.status === "healthy" ? 200 : health.status === "degraded" ? 200 : 503;
res.status(httpStatus).json(health);
});
Step 4: Prometheus Metrics Endpoint // src/api/metrics.ts
import { getMetrics } from "../observability/documenso-metrics";
app.get("/metrics/documenso", (req, res) => {
const m = getMetrics();
res.type("text/plain").send(`
# HELP documenso_requests_total Total API requests
# TYPE documenso_requests_total counter
documenso_requests_total ${m.requestCount}
# HELP documenso_errors_total Total API errors
# TYPE documenso_errors_total counter
documenso_errors_total ${m.errorCount}
# HELP documenso_avg_latency_ms Average request latency
# TYPE documenso_avg_latency_ms gauge
documenso_avg_latency_ms ${m.avgLatencyMs}
`.trim());
});
Step 5: Webhook Delivery Monitoring // Track webhook delivery success/failure
const webhookMetrics = {
received: 0,
processed: 0,
failed: 0,
byEvent: {} as Record<string, number>,
};
app.post("/webhooks/documenso", async (req, res) => {
webhookMetrics.received++;
const { event } = req.body;
webhookMetrics.byEvent[event] = (webhookMetrics.byEvent[event] || 0) + 1;
res.status(200).json({ received: true });
try {
await processWebhookEvent(req.body);
webhookMetrics.processed++;
} catch (err) {
webhookMetrics.failed++;
logDocumensoError("webhook_processing", err);
}
});
// Expose webhook metrics
app.get("/metrics/webhooks", (req, res) => {
res.json(webhookMetrics);
});
Step 6: Alerting Rules # alerting-rules.yml (Prometheus)
groups:
- name: documenso
rules:
- alert: DocumensoHighErrorRate
expr: rate(documenso_errors_total[5m]) / rate(documenso_requests_total[5m]) > 0.05
for: 5m
labels:
severity: warning
annotations:
summary: "Documenso error rate above 5%"
- alert: DocumensoUnhealthy
expr: up{job="documenso-health"} == 0
for: 2m
labels:
severity: critical
annotations:
summary: "Documenso health check failing"
- alert: DocumensoHighLatency
expr: documenso_avg_latency_ms > 5000
for: 5m
labels:
severity: warning
annotations:
summary: "Documenso average latency above 5s"
Key Metrics to Monitor Metric Healthy Warning Critical API error rate < 1% 1-5% > 5% Average latency < 1s 1-5s > 5s Health check Passing Degraded Failing Webhook delivery > 99% 95-99% < 95%
Error Handling Observability Issue Cause Solution Metrics not appearing Scrape config wrong Verify Prometheus targets Logs missing Log level too high Set LOG_LEVEL=debug temporarily False alerts Thresholds too sensitive Adjust to match your traffic patterns Health check flapping Transient network issues Add for: 2m to alert rules
Resources
Next Steps For incident response, see documenso-incident-runbook.
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Create or update AgentSkills. Use when designing, structuring, or packaging skills with scripts, references, and assets.
Create or update AgentSkills. Use when designing, structuring, or packaging skills with scripts, references, and assets.
Set up and use 1Password CLI (op). Use when installing the CLI, enabling desktop app integration, signing in (single or multi-account), or reading/injecting/running secrets via op.
CLI to manage emails via IMAP/SMTP. Use `himalaya` to list, read, write, reply, forward, search, and organize emails from the terminal. Supports multiple accounts and message composition with MML (MIME Meta Language).
