openclaw-request-rca

name	openclaw-request-rca
description	Diagnose OpenClaw request failures or slow requests with DCE Insight tracing, alerts, logs, and pod status. Use when the user asks for OpenClaw request root-cause analysis, R.E.D analysis, error-chain details, or mitigation advice.

OpenClaw Request RCA

Overview

Use this skill to produce a request-focused OpenClaw root-cause analysis from DCE Insight data. The output should answer:

1. Is the OpenClaw request failing, slow, or healthy-but-degraded?
2. Which request stage is responsible: ingress, OpenClaw request wrapper, agent runtime, downstream tool/model/IO, or platform dependency?
3. What evidence supports the root cause?
4. What short-term mitigation and longer-term fix should be applied?

Always include R.E.D dimensions:

• Rate: request throughput.
• Errors: failed/error spans and platform alerts.
• Duration: service latency, operation latency, and slow spans.

OpenClaw spans can be isolated with this span tag:

otel.scope.name=openclaw-otel-plugin

Prefer direct DCE CLI queries and JSON output. Do not infer root cause from a single signal; correlate OpenClaw spans with platform-side pods, alerts, and gateway logs.

Request RCA Workflow

Follow this order. Do not jump directly from an alert to a root cause without checking the OpenClaw request span.

Fast Path: One Terminal Call

For a normal "recent OpenClaw analysis" request, use the bundled collector first. It performs the necessary DCE API calls concurrently and returns compact NDJSON containing cluster inventory, strictly filtered OpenClaw spans, errors, R.E.D metrics, pods, and alerts:

python3 scripts/collect_rca.py 24 1s

Resolve scripts/collect_rca.py relative to this SKILL.md. The arguments are:

1. lookback hours, default 24;
2. slow threshold, default 1s;
3. optional cluster name.

Efficiency rules:

• Prefer this single collector invocation over sequential terminal calls.
• Do not call get-tag-values or list every Kubernetes namespace on the normal path. The collector queries only the top trace-service namespaces and applies the required OpenClaw tag directly to span queries.
• Do not rerun commands merely to reformat JSON; the collector aggregates with the Python 3 standard library.
• If no OpenClaw spans are found among the candidate namespaces, answer with low confidence from workload, metric, and alert evidence. Do not automatically broaden the window or scan every namespace.
• The default path fetches filtered spans plus error and slow-span summaries, but skips Jaeger trace details.
• Fetch trace details or logs only when the user explicitly asks for a deeper RCA or supplies a trace ID. Do not delay the first answer for enrichment.

The collector overlaps independent work:

1. Run trace-service discovery concurrently with Pod, alert, and metric collection.
2. Query at most the top 12 trace-service namespaces per cluster with the strict OpenClaw span filter.
3. Query error and slow spans concurrently for every discovered OpenClaw namespace.
4. Join the first-pass results and emit compact aggregates instead of full raw alert/span payloads.

The collector requires python3 and dce only. It does not require jq, pip, or any third-party Python package.

The entire first-pass collection has an 8-second budget and each DCE command has a 5-second timeout. Keep successful partial evidence and answer when any source times out. The namespace cap can be changed with OPENCLAW_RCA_MAX_NAMESPACES, but do not increase it on the normal path.

For an explicit deep RCA, enable up to three priority Jaeger trace details per matched namespace:

OPENCLAW_RCA_DETAIL=1 python3 scripts/collect_rca.py 24 1s '<cluster-name>'

When the user supplies a cluster, pass it as the third argument so the collector skips cluster discovery.

Target latency for the first-pass analysis is under 10 seconds in a normally responsive DCE environment.

1. Identify the OpenClaw trace namespace and service by locating otel.scope.name=openclaw-otel-plugin.
2. Query OpenClaw error spans in the incident window.
3. Query slow OpenClaw spans in the same window.
4. Compare operations in the same trace:
   • channel_ingress
   • openclaw_request
   • agent_run
   • any child spans for model, tool, network, storage, or callback work
5. Classify the request symptom.
6. Correlate platform-side evidence only after classifying the OpenClaw request.
7. Output the root cause with confidence and mitigation actions.

Request Stage Model

Use these stages when explaining a request:

Stage	Typical Span	Meaning	Bottleneck Signal
Ingress	channel_ingress	Request accepted by OpenClaw channel/plugin	High duration or error here means entry/transport issue
Request wrapper	openclaw_request	End-to-end OpenClaw request handling	High duration here bounds the total user-visible OpenClaw time
Agent runtime	agent_run	Agent execution inside OpenClaw	If this matches openclaw_request, latency is inside agent execution
Downstream call	model/tool/HTTP/DB child spans	Work invoked by the agent	Slow/error child span identifies the concrete dependency
Platform dependency	gateway/storage/controller/log alerts	DCE/OpenClaw hosting dependencies	Treat as correlated unless the trace points to it directly

Symptom Classification

Classify before writing root cause:

Symptom	Evidence	Root-Cause Direction
Direct OpenClaw failure	onlyErrorSpans=true returns OpenClaw spans, or span status is error	Inspect failed operation, status code, status message, and trace detail
Slow OpenClaw request	No error spans, but openclaw_request exceeds threshold	Compare agent_run, child spans, and ingress duration
Agent bottleneck	agent_run duration ~= openclaw_request duration	Investigate model/tool/IO/callback work or add finer child spans
Ingress bottleneck	channel_ingress is large or failed	Investigate channel plugin, gateway, auth, transport, or queueing
Platform-correlated degradation	OpenClaw spans are healthy, but gateway/storage/node alerts fire	Report as external risk/correlation, not proven direct OpenClaw cause
No OpenClaw traffic	No openclaw-otel-plugin spans in the window	Broaden time window, verify namespace/service, then inspect collection pipeline

Root Cause Confidence

State confidence explicitly:

Confidence	Criteria
High	Error/slow OpenClaw span directly identifies the failed or slow operation, and trace detail supports it
Medium	OpenClaw spans show degradation, but the concrete child dependency is missing or inferred
Low	OpenClaw spans are healthy or absent; only platform logs/alerts suggest a related risk

If confidence is Low or Medium, say exactly what data would raise confidence, such as child spans inside agent_run, specific trace IDs from the user, or pod events.

Data Collection

Use dce on PATH when available. If working from this repository, bin/dce may be used. Always request JSON with -o json.

1. Find Clusters

dce container-management cluster list-clusters -o json --page-size 100

Record the cluster that contains OpenClaw spans or the reported workload. Common examples:

kpanda-global-cluster

2. Discover the OpenClaw Namespace

Use scripts/collect_rca.py; it already performs namespace discovery. Do not run separate terminal commands for this section on the normal path.

The collector:

1. fetches trace services, Pods, alerts, and metrics concurrently;
2. selects up to the top 12 namespaces represented by trace services;
3. queries those candidate namespaces concurrently with the required span filter;
4. emits only namespaces whose filtered result contains OpenClaw spans.

Namespace discovery only identifies candidates. A namespace can contain unrelated traces, so every OpenClaw query and interpretation must retain:

otel.scope.name=openclaw-otel-plugin

If the collector returns multiple OpenClaw namespaces, analyze each independently and select by the reported incident window, service, operation, or trace ID. If it returns none, report that the fast candidate scan found no OpenClaw spans; perform exhaustive namespace discovery only after the user requests a deeper search.

3. Query OpenClaw Spans

Use a concrete RFC3339 time window. For "recent" incidents, start with the last 24 hours; for user-provided timestamps, preserve the user's timezone in the explanation and convert to RFC3339 for queries.

All queries in this section must include the tag filter below. DCE tracing query results can include non-OpenClaw chain data when the filter is missing, malformed, ignored by a command variant, or when follow-up queries are run only by namespace/service/time. Treat any unfiltered or partially filtered result as mixed trace data, not OpenClaw evidence.

Required OpenClaw filter:

{"key": "otel.scope.name", "operation": "EQUAL", "value": "openclaw-otel-plugin"}

After each query, validate that every span used as OpenClaw evidence has otel.scope.name=openclaw-otel-plugin in its tags/process tags/scope metadata. If the returned rows do not expose this tag, state that the result is not sufficiently proven as OpenClaw-only and rerun with a narrower query such as trace ID + operation name + the required tag filter.

All OpenClaw spans:

cat <<'JSON' | dce insight tracing query-spans --file - -o json
{
  "clusterName": "<cluster-name>",
  "namespace": "<openclaw-namespace>",
  "start": "<start-rfc3339>",
  "end": "<end-rfc3339>",
  "sort": "duration,desc",
  "page": 1,
  "pageSize": 200,
  "tags": [
    {"key": "otel.scope.name", "operation": "EQUAL", "value": "openclaw-otel-plugin"}
  ]
}
JSON

Error spans:

cat <<'JSON' | dce insight tracing query-spans --file - -o json
{
  "clusterName": "<cluster-name>",
  "namespace": "<openclaw-namespace>",
  "start": "<start-rfc3339>",
  "end": "<end-rfc3339>",
  "onlyErrorSpans": true,
  "sort": "startTime,desc",
  "page": 1,
  "pageSize": 100,
  "tags": [
    {"key": "otel.scope.name", "operation": "EQUAL", "value": "openclaw-otel-plugin"}
  ]
}
JSON

Slow spans:

cat <<'JSON' | dce insight tracing query-spans --file - -o json
{
  "clusterName": "<cluster-name>",
  "namespace": "<openclaw-namespace>",
  "start": "<start-rfc3339>",
  "end": "<end-rfc3339>",
  "durationMin": "1s",
  "sort": "duration,desc",
  "page": 1,
  "pageSize": 100,
  "tags": [
    {"key": "otel.scope.name", "operation": "EQUAL", "value": "openclaw-otel-plugin"}
  ]
}
JSON

Recommended duration thresholds:

Threshold	Meaning
> 1s	Investigate for interactive request latency
> 3s	Treat as user-visible slow request
> 10s	Treat as severe latency or timeout risk

When the user reports a timeout, also query with durationMin close to the timeout threshold, for example 10s, 30s, or 60s.

When narrowing by serviceName, operationName, traceID, status, duration, or errors, keep the same otel.scope.name=openclaw-otel-plugin tag filter. Never replace this filter with service, namespace, or operation filters; those are additional constraints only.

4. Collect R.E.D Metrics

Service-level R.E.D:

dce insight tracing get-services \
  --cluster-name <cluster-name> \
  --namespace <openclaw-namespace> \
  --lookback 86400000 \
  --end-time "$END" \
  --span-kinds SPAN_KIND_SERVER \
  --sort 'repLatency,desc' \
  --page 1 \
  --page-size 50 \
  -o json

Available operations:

dce insight tracing query-operations \
  --cluster-name <cluster-name> \
  --namespace <openclaw-namespace> \
  --service-name <service-name> \
  --start <start-rfc3339> \
  --end <end-rfc3339> \
  -o json

Operation detail may be available for some services:

dce insight tracing get-operation-detail \
  --cluster-name <cluster-name> \
  --namespace <openclaw-namespace> \
  --service-name <service-name> \
  --lookback 86400000 \
  --end-time "$END" \
  --step 3600000 \
  --rate-per 60000 \
  --span-kinds SPAN_KIND_SERVER \
  --page 1 \
  --page-size 50 \
  --sort 'p99,desc' \\
  -o json

If operation detail is empty, use query-spans grouped manually by operationName.

5. Inspect Trace Details

For the slowest or failed trace:

dce insight tracing find-jaeger-trace \
  --trace-id <trace-id> \
  --cluster-name <cluster-name> \
  --namespace <openclaw-namespace> \
  -o json

Use the trace detail to identify process tags such as:

• agent_runtime
• agent_version
• k8s.namespace.name
• service.namespace
• process.command
• process.runtime.version

If trace detail contains a long parent or aggregate operation such as session_processing, do not use it alone as the request latency. Prefer individual span rows from query-spans for openclaw_request, agent_run, and child spans.

6. Correlate Platform-Side Signals

OpenClaw error spans may be absent even when users see degraded behavior. Always correlate with pod health, alerts, and gateway logs.

Pod health:

dce insight resource list-pods \
  --cluster <cluster-name> \
  --namespace <namespace> \
  --page-size 200 \
  -o json

Pod detail:

dce insight resource get-pod \
  --cluster <cluster-name> \
  --namespace <namespace> \
  --name <pod-name> \
  -o json

Alerts:

dce insight alert list-alerts \
  --cluster-name <cluster-name> \
  --namespace <namespace> \
  --page-size 100 \
  --sorts startsAt,desc \
  -o json

Container logs:

dce container-management insight get-pod-container-log \
  --cluster <cluster-name> \
  --namespace <namespace> \
  --name <pod-name> \
  --container <container-name> \
  --page-size 100 \
  -o json

Useful log searches for gateway issues:

dce container-management insight get-pod-container-log \
  --cluster <cluster-name> \
  --namespace hydra-system \
  --name <higress-gateway-pod> \
  --container higress-gateway \
  --log-search error \
  --page-size 100 \
  -o json

Watch for messages such as:

• Envoy is not fully initialized
• cannot fetch Wasm module
• wasm module download failed
• gRPC update ... failed
• context deadline exceeded

Node and cluster pressure:

dce insight alert list-alerts \\n  --cluster-name <cluster-name> \\n  --target <node-name> \\n  --target-type NODE \\n  --page-size 50 \\n  -o json

Look for memory, disk IO, filesystem, network, and kubelet-related alerts. Node pressure can amplify timeouts but should be described as a contributing factor unless directly visible in the request trace.

Analysis Rules

• Only spans verified with otel.scope.name=openclaw-otel-plugin may be counted as OpenClaw spans. Namespace, service, operation name, trace ID, or timing overlap alone is not enough, because query results may contain non-OpenClaw chain data.
• Treat onlyErrorSpans=true returning zero OpenClaw spans as "no direct OpenClaw error span found", not as "no incident".
• If openclaw_request and agent_run have matching durations, attribute the observed latency to the agent execution phase unless deeper child spans contradict it.
• If channel_ingress is near zero or a few milliseconds, do not classify ingress as the OpenClaw bottleneck.
• Platform-side higress-gateway NotReady, failed Wasm downloads, storageserver Pending, or node memory/IO alerts are dependency or platform risks. State whether they are directly visible in OpenClaw spans or only correlated.
• Convert nanosecond durations from span output to human-friendly units (2999000000 -> 2.999s).
• Convert UTC timestamps to the user's timezone in final tables when useful.
• Do not call platform-side gateway/storage failure the OpenClaw request root cause unless the OpenClaw trace shows the request depends on it or the timing and path clearly line up.
• If OpenClaw spans are HEALTHY but slow, phrase the result as "latency root cause" rather than "error root cause".
• If no child spans exist under agent_run, recommend adding instrumentation before claiming a specific model/tool/IO dependency.

Root-Cause Decision Table

Use this mapping to move from evidence to conclusion and mitigation.

Evidence Pattern	Likely Root Cause	Immediate Mitigation	Durable Fix
onlyErrorSpans=true returns openclaw_request errors	OpenClaw request handling failure	Use trace detail to identify failing operation; retry or route traffic away from affected service	Fix failing code path and add error-specific alert
agent_run ~= openclaw_request, both slow, no error	Agent execution latency	Reduce request complexity, temporarily disable expensive tools, or increase timeout only if safe	Add child spans for model/tool/IO; optimize slow step
Child model/tool span dominates agent_run	Downstream dependency latency	Fail open/fallback/cache if available; isolate bad dependency	Add timeout, retry budget, circuit breaker, and dependency SLO
channel_ingress slow or failed	Ingress/channel bottleneck	Restart or scale channel/gateway component; check auth/transport	Add ingress queue/latency metrics and capacity guardrails
No OpenClaw error span, platform gateway NotReady	Platform-correlated risk	Restore gateway/plugin endpoint or disable failed plugin	Make plugin download cached/fail-open and add readiness guard
No OpenClaw error span, storage/controller Pending	Platform dependency risk	Repair Pending pods and failed rollout/job	Fix install/upgrade workflow, PVC/scheduling/resource constraints
Node memory/IO pressure alert overlaps incident	Resource pressure contributing factor	Move workload, free memory/disk IO, restart only if necessary	Add capacity, requests/limits, and noisy-neighbor isolation
No openclaw-otel-plugin spans	Observability gap or no traffic	Broaden window; verify namespace/service and collector health	Add telemetry health checks and missing-span alerts

Output Format

When the user asks for a root-cause summary, R.E.D analysis, remediation advice, or leadership-facing report, answer in structured Markdown with the sections below. Do not output a step-by-step investigation log. Unless the user explicitly asks, do not show skill loading, command retries, raw JSON processing, or other internal process details.

Rules:

• Put the conclusion first.
• Use Markdown tables for key metrics whenever possible.
• Keep intermediate investigation detail out of the final answer.
• Recommendations must be specific and executable.
• If data is incomplete, explicitly say Based on the currently available data.
• Use local time if the user is using a local timezone context.
• Optimize for the first answer: use at most 3 findings and 2 actions. Do not wait for trace detail, logs, exhaustive namespace scans, or additional correlation unless the user explicitly asks.

Required response template:

# Conclusion

Based on the currently available data, <1-2 sentences with the current judgment, risk level, and most important issue>. Current risk level: Normal / Watch / Risk / Critical.

## Key Metrics

| Metric | Current Value | Status |
|---|---:|---|
| OpenClaw span filter | `otel.scope.name=openclaw-otel-plugin` | Normal / Watch / Risk / Critical |
| Rate | `<reqRate or request count>` | Normal / Watch / Risk / Critical |
| Errors | `<error span count or error rate>` | Normal / Watch / Risk / Critical |
| Duration | `<p95/p99/max or slowest operation>` | Normal / Watch / Risk / Critical |
| Main slow operation | `<operationName + duration>` | Normal / Watch / Risk / Critical |

## Main Findings

1. <most important finding and impact>
2. <second finding and impact, if material>
3. <third finding, only if material>

## Cause Analysis

<One concise cause statement with confidence. If direct trace evidence is absent, say the cause is unconfirmed and identify the strongest correlated signal.>

## Recommended Actions

1. <highest-priority mitigation tied to evidence>
2. <second action, only if necessary>

Stop after this concise answer. Add trace details, logs, exhaustive correlation, or additional tables only in response to a user follow-up.

Common Interpretation

If the data shows:

• openclaw-otel-plugin exists under an application namespace such as jinye-ns.
• onlyErrorSpans=true returns no spans.
• Slow spans are openclaw_request and agent_run.
• channel_ingress is approximately 1ms.

Then summarize:

OpenClaw has no direct error span in the selected window. The degradation is latency-oriented, concentrated in agent execution. Platform-side gateway or dependency failures may still affect the user path, but they are correlated external risks unless the trace shows direct child-span failures.

If platform-side evidence shows higress-gateway cannot fetch ai-statistics/plugin.wasm, or storageserver is Pending, recommend:

• Restore the Wasm module endpoint or temporarily disable the failing plugin.
• Repair Pending platform pods by checking image pulls, PVCs, scheduling, Secret/ConfigMap, and node resources.
• Add OpenClaw latency alerts for openclaw_request > 1s and > 3s.
• Add finer spans inside agent_run for model calls, tool calls, IO, and callbacks.

Mitigation Guidance

Choose mitigations based on the classified root cause:

Root Cause Type	P0 Mitigation	P1 Follow-Up	P2 Prevention
OpenClaw direct errors	Roll back recent change or route traffic away from failing service	Fix failing operation and add regression test	Add error-rate SLO and alert by operation
Agent execution slow	Disable expensive tools, simplify prompt/workflow, or cap tool iterations	Add child spans and optimize slow model/tool/IO step	Add latency budget and circuit breaker per agent step
Downstream dependency slow	Use fallback/cache, reduce timeout, or isolate bad dependency	Tune retries and concurrency	Add dependency dashboard and per-call SLO
Gateway/plugin failure	Restore plugin endpoint or temporarily disable failed Wasm plugin	Make plugin download fail-open or cached	Add plugin availability probe before rollout
Platform pod Pending	Repair image/PVC/scheduling/resource issue; restart rollout only after cause is known	Clean failed Helm jobs and rerun upgrade/rollback	Add preflight checks for install/upgrade
Node pressure	Move workloads or free memory/disk IO	Resize nodes or tune requests/limits	Add capacity planning and noisy-neighbor isolation
Telemetry gap	Verify collector and namespace/service selection	Add missing-span alert	Standardize OpenClaw telemetry tags