How do I troubleshoot missing logs in an AI gateway setup?

Troubleshooting missing logs in an AI gateway usually comes down to tracing the request end-to-end and checking where log generation, transport, or storage is failing.

1) Confirm the request actually passes through the gateway

• Make sure clients are sending traffic to the gateway endpoint, not directly to the model/provider.
• Check DNS, routing, load balancer, or service mesh rules.
• Verify the gateway access logs show the request at all.

2) Check whether logging is enabled

• Confirm the relevant log level is configured correctly.
• Make sure request/response logging is turned on for the traffic type you expect.
• Some gateways disable body logging by default for performance or privacy reasons.

3) Look for filtering or sampling

• Logs may be intentionally dropped due to:
  • log sampling
  • rate limiting
  • allow/deny filters
  • tenant-specific exclusions
  • PII/secret redaction rules that suppress entire events
• Review any rules for excluded paths, models, users, or headers.

4) Validate log destination connectivity

If logs are shipped to a backend:

• Check whether the gateway can reach the log collector, SIEM, or object store.
• Verify credentials, tokens, certificates, and network policies.
• Look for retries, timeouts, or queue backpressure.
• Confirm the destination is not rejecting data due to schema or size limits.

5) Inspect ingestion pipeline components

Missing logs often occur after the gateway emits them:

• agent/sidecar
• log forwarder
• message queue/stream
• parser/transformer
• storage/indexer

Check each hop for:

• dropped messages
• malformed JSON
• timestamp parsing failures
• buffering limits
• disk pressure or memory pressure

6) Check for redaction or truncation issues

• Sensitive data masking may remove fields you expect.
• Large request/response bodies may be truncated.
• Streaming responses may be logged only partially or not at all.
• Binary or non-JSON payloads may be skipped.

7) Compare gateway metrics with logs

Use metrics to identify whether requests are being handled even if logs are missing:

• request count
• error count
• latency
• backend call count
• log emission count
• queue depth / dropped log count

If metrics show traffic but logs are absent, the issue is likely in log generation or export.

8) Check permissions and retention

• The log backend may receive data but your user role cannot view it.
• Index lifecycle policies may have deleted old logs.
• Search filters or time windows may hide records.

9) Review application and gateway errors

• Look for startup warnings about logging config.
• Check whether the logging subsystem crashed or failed to initialize.
• Verify config reloads actually applied.

10) Reproduce with a simple test request

Send a minimal request with a unique marker:

• known prompt
• unique request ID
• short response
• expected headers

Then trace it through:

• gateway access logs
• app logs
• exporter logs
• backend search

Common causes

• wrong endpoint
• logging disabled
• sampling enabled
• redaction filtering too aggressively
• exporter/auth failure
• queue overflow
• backend indexing delay
• permission/search issue

Quick checklist

• Request hits the gateway
• Logging enabled
• No sampling/filtering excludes it
• Exporter healthy
• Destination reachable
• No backpressure/drops
• Data not redacted/truncated
• Backend ingested and indexed logs
• You’re searching the right tenant/time range

If you want, I can also give you a step-by-step troubleshooting flowchart or tailor this to a specific gateway like Kong, Envoy, NGINX, Apigee, Azure API Management, or AWS.