Claude-code-plugins-plus-skills navan-observability
install
source · Clone the upstream repo
git clone https://github.com/jeremylongshore/claude-code-plugins-plus-skills
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/jeremylongshore/claude-code-plugins-plus-skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/plugins/saas-packs/navan-pack/skills/navan-observability" ~/.claude/skills/jeremylongshore-claude-code-plugins-plus-skills-navan-observability && rm -rf "$T"
manifest:
plugins/saas-packs/navan-pack/skills/navan-observability/SKILL.mdsource content
Navan Observability
Overview
Navan exposes no built-in API metrics dashboard — monitoring is your responsibility. This skill implements structured logging, latency tracking, error classification, and alerting for Navan REST API integrations. Since Navan uses OAuth 2.0 with token expiration, observability must also cover the authentication lifecycle. Patterns are provided for Datadog, CloudWatch, and Prometheus/Grafana.
Prerequisites
- Running Navan API integration with OAuth 2.0 credentials
- Monitoring platform — Datadog, AWS CloudWatch, or Prometheus/Grafana
- Node.js 18+ or equivalent runtime for the instrumentation middleware
- API base URL:
https://api.navan.com/v1
Instructions
Step 1 — Instrument API Calls with Structured Logging
Wrap every Navan API call with timing, status, and correlation tracking:
import { randomUUID } from 'crypto'; interface NavanApiLog { event: 'navan.api.request'; correlation_id: string; method: string; endpoint: string; status: number; duration_ms: number; error_type?: 'auth' | 'rate_limit' | 'server' | 'client' | 'network'; timestamp: string; } async function navanRequest( method: string, endpoint: string, token: string, body?: object ): Promise<Response> { const correlationId = randomUUID(); const start = performance.now(); try { const response = await fetch(`https://api.navan.com/v1/${endpoint}`, { method, headers: { 'Authorization': `Bearer ${token}`, 'Content-Type': 'application/json', 'X-Correlation-ID': correlationId, }, body: body ? JSON.stringify(body) : undefined, }); const log: NavanApiLog = { event: 'navan.api.request', correlation_id: correlationId, method, endpoint, status: response.status, duration_ms: Math.round(performance.now() - start), timestamp: new Date().toISOString(), }; if (response.status === 401) log.error_type = 'auth'; else if (response.status === 429) log.error_type = 'rate_limit'; else if (response.status >= 500) log.error_type = 'server'; else if (response.status >= 400) log.error_type = 'client'; console.log(JSON.stringify(log)); return response; } catch (err) { console.log(JSON.stringify({ event: 'navan.api.request', correlation_id: correlationId, method, endpoint, status: 0, duration_ms: Math.round(performance.now() - start), error_type: 'network', error_message: (err as Error).message, timestamp: new Date().toISOString(), })); throw err; } }
Step 2 — Track OAuth Token Lifecycle
async function refreshToken(clientId: string, clientSecret: string): Promise<string> { const start = performance.now(); const response = await fetch('https://api.navan.com/ta-auth/oauth/token', { method: 'POST', headers: { 'Content-Type': 'application/x-www-form-urlencoded' }, body: new URLSearchParams({ grant_type: 'client_credentials', client_id: clientId, client_secret: clientSecret, }), }); console.log(JSON.stringify({ event: 'navan.auth.refresh', status: response.status, duration_ms: Math.round(performance.now() - start), success: response.status === 200, timestamp: new Date().toISOString(), })); if (!response.ok) throw new Error(`Auth failed: HTTP ${response.status}`); const data = await response.json(); return data.access_token; }
Step 3 — Define Alert Rules
Datadog monitor configuration:
# datadog-monitors/navan-alerts.yaml monitors: - name: "Navan API Auth Failures" type: metric alert query: > sum(last_5m):sum:navan.api.errors{error_type:auth}.as_count() > 3 message: | Navan OAuth token may be expired or credentials rotated. Check: Admin > API Settings for credential status. Runbook: https://wiki.internal/navan-auth-rotation priority: P2 - name: "Navan API Rate Limiting" type: metric alert query: > sum(last_15m):sum:navan.api.errors{error_type:rate_limit}.as_count() > 10 message: | Navan API returning 429 rate limit responses. Action: Reduce sync frequency or implement backoff. priority: P3 - name: "Navan API Latency Degradation" type: metric alert query: > avg(last_10m):p95:navan.api.duration_ms{*} > 5000 message: | Navan API p95 latency exceeds 5 seconds. Impact: Expense sync and booking operations are slow. priority: P3 - name: "Navan API Server Errors" type: metric alert query: > sum(last_5m):sum:navan.api.errors{error_type:server}.as_count() > 5 message: | Navan API returning 5xx server errors. This is likely a Navan-side issue — check status page. priority: P2
Step 4 — Build the Dashboard
Key metrics to display:
| Metric | Source | Panel Type |
|---|---|---|
| Request rate (rpm) | count | Time series |
| Latency p50/p95/p99 | | Percentile graph |
| Error rate by type | by | Stacked bar |
| Token refresh success rate | | Single stat |
| Active correlation IDs | unique | Count |
Prometheus queries:
# Request rate per minute rate(navan_api_requests_total[5m]) * 60 # p95 latency histogram_quantile(0.95, rate(navan_api_duration_seconds_bucket[5m])) # Error rate percentage sum(rate(navan_api_errors_total[5m])) / sum(rate(navan_api_requests_total[5m])) * 100 # Auth failure spike detection increase(navan_api_errors_total{error_type="auth"}[5m]) > 0
Output
A fully instrumented Navan API integration with:
- Structured JSON logs with correlation IDs for request tracing
- Real-time dashboards showing latency, throughput, and error rates
- Automated alerts differentiating auth failures, rate limits, and server errors
- Token lifecycle visibility tracking refresh success and timing
Error Handling
| HTTP Code | Error Type | Alert Severity | Action |
|---|---|---|---|
| | P2 — page on-call | Rotate OAuth credentials immediately |
| | P3 — notify | Verify API scopes in Navan Admin |
| | P3 — notify | Reduce call frequency, check skill |
| | P2 — page if sustained | Check Navan status; nothing to fix on your side |
| | P3 — notify | Transient; retry with backoff |
(network) | | P1 — page | DNS, firewall, or connectivity issue |
Examples
CloudWatch metric push from a Lambda integration:
# Push custom metric after each Navan API call aws cloudwatch put-metric-data \ --namespace "Navan/API" \ --metric-name "RequestLatency" \ --value 342 \ --unit Milliseconds \ --dimensions Endpoint=bookings,Status=200
Resources
- Navan Help Center — API documentation
- Datadog Custom Metrics — Sending custom metrics
- Prometheus Client Libraries — Instrumentation SDKs
- AWS CloudWatch Custom Metrics
Next Steps
- Add
for structured incident response proceduresnavan-incident-runbook - Add
to understand Navan's specific throttling behaviornavan-rate-limits - See
to optimize the API calls being monitorednavan-performance-tuning