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".

claude-code
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cohere-pack Plugin
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cohere-pack

Claude Code skill pack for Cohere (24 skills)

saas packs v1.0.0
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Installation

This skill is included in the cohere-pack plugin:

/plugin install cohere-pack@claude-code-plugins-plus

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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.

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