cohere-observability
Set up comprehensive observability for Cohere integrations with metrics, traces, and alerts. Use when implementing monitoring for Cohere operations, setting up dashboards, or configuring alerting for Cohere integration health. Trigger with phrases like "cohere monitoring", "cohere metrics", "cohere observability", "monitor cohere", "cohere alerts", "cohere tracing".
Allowed Tools
Provided by Plugin
cohere-pack
Claude Code skill pack for Cohere (24 skills)
Installation
This skill is included in the cohere-pack plugin:
/plugin install cohere-pack@claude-code-plugins-plus
Click to copy
Instructions
Cohere Observability
Overview
Set up comprehensive observability for Cohere integrations.
Prerequisites
- Prometheus or compatible metrics backend
- OpenTelemetry SDK installed
- Grafana or similar dashboarding tool
- AlertManager configured
Metrics Collection
Key Metrics
| Metric | Type | Description |
|---|---|---|
cohererequeststotal |
Counter | Total API requests |
cohererequestduration_seconds |
Histogram | Request latency |
cohereerrorstotal |
Counter | Error count by type |
cohereratelimit_remaining |
Gauge | Rate limit headroom |
Prometheus Metrics
import { Registry, Counter, Histogram, Gauge } from 'prom-client';
const registry = new Registry();
const requestCounter = new Counter({
name: 'cohere_requests_total',
help: 'Total Cohere API requests',
labelNames: ['method', 'status'],
registers: [registry],
});
const requestDuration = new Histogram({
name: 'cohere_request_duration_seconds',
help: 'Cohere request duration',
labelNames: ['method'],
buckets: [0.05, 0.1, 0.25, 0.5, 1, 2.5, 5],
registers: [registry],
});
const errorCounter = new Counter({
name: 'cohere_errors_total',
help: 'Cohere errors by type',
labelNames: ['error_type'],
registers: [registry],
});
Instrumented Client
async function instrumentedRequest<T>(
method: string,
operation: () => Promise<T>
): Promise<T> {
const timer = requestDuration.startTimer({ method });
try {
const result = await operation();
requestCounter.inc({ method, status: 'success' });
return result;
} catch (error: any) {
requestCounter.inc({ method, status: 'error' });
errorCounter.inc({ error_type: error.code || 'unknown' });
throw error;
} finally {
timer();
}
}
Distributed Tracing
OpenTelemetry Setup
import { trace, SpanStatusCode } from '@opentelemetry/api';
const tracer = trace.getTracer('cohere-client');
async function tracedCohereCall<T>(
operationName: string,
operation: () => Promise<T>
): Promise<T> {
return tracer.startActiveSpan(`cohere.${operationName}`, async (span) => {
try {
const result = await operation();
span.setStatus({ code: SpanStatusCode.OK });
return result;
} catch (error: any) {
span.setStatus({ code: SpanStatusCode.ERROR, message: error.message });
span.recordException(error);
throw error;
} finally {
span.end();
}
});
}
Logging Strategy
Structured Logging
import pino from 'pino';
const logger = pino({
name: 'cohere',
level: process.env.LOG_LEVEL || 'info',
});
function logCohereOperation(
operation: string,
data: Record<string, any>,
duration: number
) {
logger.info({
service: 'cohere',
operation,
duration_ms: duration,
...data,
});
}
Alert Configuration
Prometheus AlertManager Rules
# cohere_alerts.yaml
groups:
- name: cohere_alerts
rules:
- alert: CohereHighErrorRate
expr: |
rate(cohere_errors_total[5m]) /
rate(cohere_requests_total[5m]) > 0.05
for: 5m
labels:
severity: warning
annotations:
summary: "Cohere error rate > 5%"
- alert: CohereHighLatency
expr: |
histogram_quantile(0.95,
rate(cohere_request_duration_seconds_bucket[5m])
) > 2
for: 5m
labels:
severity: warning
annotations:
summary: "Cohere P95 latency > 2s"
- alert: CohereDown
expr: up{job="cohere"} == 0
for: 1m
labels:
severity: critical
annotations:
summary: "Cohere integration is down"
Dashboard
Grafana Panel Queries
{
"panels": [
{
"title": "Cohere Request Rate",
"targets": [{
"expr": "rate(cohere_requests_total[5m])"
}]
},
{
"title": "Cohere Latency P50/P95/P99",
"targets": [{
"expr": "histogram_quantile(0.5, rate(cohere_request_duration_seconds_bucket[5m]))"
}]
}
]
}
Instructions
Step 1: Set Up Metrics Collection
Implement Prometheus counters, histograms, and gauges for key operations.
Step 2: Add Distributed Tracing
Integrate OpenTelemetry for end-to-end request tracing.
Step 3: Configure Structured Logging
Set up JSON logging with consistent field names.
Step 4: Create Alert Rules
Define Prometheus alerting rules for error rates and latency.
Output
- Metrics collection enabled
- Distributed tracing configured
- Structured logging implemented
- Alert rules deployed
Error Handling
| Issue | Cause | Solution |
|---|---|---|
| Missing metrics | No instrumentation | Wrap client calls |
| Trace gaps | Missing propagation | Check context headers |
| Alert storms | Wrong thresholds | Tune alert rules |
| High cardinality | Too many labels | Reduce label values |
Examples
Quick Metrics Endpoint
app.get('/metrics', async (req, res) => {
res.set('Content-Type', registry.contentType);
res.send(await registry.metrics());
});
Resources
Next Steps
For incident response, see cohere-incident-runbook.