openclaw/docs/gateway/opentelemetry.md

summary, title, read_when

summary	title	read_when
Export OpenClaw diagnostics to OpenTelemetry collectors or stdout JSONL via the diagnostics-otel plugin	OpenTelemetry export	You want to send OpenClaw model usage, message flow, or session metrics to an OpenTelemetry collector You are wiring traces, metrics, or logs into Grafana, Datadog, Honeycomb, New Relic, Tempo, or another OTLP backend You need the exact metric names, span names, or attribute shapes to build dashboards or alerts

OpenClaw exports diagnostics through the official diagnostics-otel plugin using OTLP/HTTP (protobuf). Logs can also be written as stdout JSONL for container and sandbox log pipelines. Any collector or backend that accepts OTLP/HTTP works without code changes. For local file logs, see Logging.

• Diagnostics events are structured, in-process records emitted by the Gateway and bundled plugins for model runs, message flow, sessions, queues, and exec.
• diagnostics-otel subscribes to those events and exports them as OpenTelemetry metrics, traces, and logs over OTLP/HTTP, and can mirror log records to stdout JSONL.
• Provider calls receive a W3C traceparent header from OpenClaw's trusted model-call span context when the provider transport accepts custom headers. Plugin-emitted trace context is not propagated.
• Exporters attach only when both the diagnostics surface and the plugin are enabled, so in-process cost stays near zero by default.

Quick start

openclaw plugins install clawhub:@openclaw/diagnostics-otel

{
  plugins: {
    allow: ["diagnostics-otel"],
    entries: {
      "diagnostics-otel": { enabled: true },
    },
  },
  diagnostics: {
    enabled: true,
    otel: {
      enabled: true,
      endpoint: "http://otel-collector:4318",
      protocol: "http/protobuf",
      serviceName: "openclaw-gateway",
      traces: true,
      metrics: true,
      logs: true,
      sampleRate: 0.2,
      flushIntervalMs: 60000,
    },
  },
}

Or enable the plugin from the CLI: openclaw plugins enable diagnostics-otel.

`protocol` supports `http/protobuf` only. Since `traces` and `metrics` default to enabled, any other value (including `grpc`) aborts the entire diagnostics-otel subscription with an `unsupported protocol` warning - this also stops stdout log export. Explicitly set `traces: false` and `metrics: false` if you only want `logsExporter: "stdout"` with a non-OTLP protocol value.

Signals exported

Signal	What goes in it
Metrics	Counters/histograms for token usage, cost, run duration, failover, skill usage, message flow, Talk events, queue lanes, session state/recovery, tool execution, exec, memory, liveness, and exporter health.
Traces	Spans for model usage, model calls, harness lifecycle, skill usage, tool execution, exec, webhook/message processing, context assembly, and tool loops.
Logs	Structured logging.file records exported over OTLP or stdout JSONL when diagnostics.otel.logs is enabled; log bodies are withheld unless content capture is explicitly enabled.

Toggle traces, metrics, and logs independently. Traces and metrics default to on when diagnostics.otel.enabled is true; logs default to off and export only when diagnostics.otel.logs is explicitly true. Log export defaults to OTLP; set diagnostics.otel.logsExporter to stdout for JSONL on stdout, or both for both.

Configuration reference

{
  diagnostics: {
    enabled: true,
    otel: {
      enabled: true,
      endpoint: "http://otel-collector:4318",
      tracesEndpoint: "http://otel-collector:4318/v1/traces",
      metricsEndpoint: "http://otel-collector:4318/v1/metrics",
      logsEndpoint: "http://otel-collector:4318/v1/logs",
      protocol: "http/protobuf", // grpc disables OTLP export
      serviceName: "openclaw-gateway", // unset falls back to OTEL_SERVICE_NAME, then "openclaw"
      headers: { "x-collector-token": "..." },
      traces: true,
      metrics: true,
      logs: true,
      logsExporter: "otlp", // otlp | stdout | both
      sampleRate: 0.2, // root-span sampler, 0.0..1.0
      flushIntervalMs: 60000, // metric export interval (min 1000ms)
      captureContent: {
        enabled: false,
        inputMessages: false,
        outputMessages: false,
        toolInputs: false,
        toolOutputs: false,
        systemPrompt: false,
        toolDefinitions: false,
      },
    },
  },
}

Environment variables

Variable	Purpose
OTEL_EXPORTER_OTLP_ENDPOINT	Fallback for diagnostics.otel.endpoint when the config key is unset.
OTEL_EXPORTER_OTLP_TRACES_ENDPOINT / OTEL_EXPORTER_OTLP_METRICS_ENDPOINT / OTEL_EXPORTER_OTLP_LOGS_ENDPOINT	Signal-specific endpoint fallbacks used when the matching diagnostics.otel.*Endpoint config key is unset. Signal-specific config wins over signal-specific env, which wins over the shared endpoint.
OTEL_SERVICE_NAME	Fallback for diagnostics.otel.serviceName when the config key is unset. Default service name is openclaw.
OTEL_EXPORTER_OTLP_PROTOCOL	Fallback for the wire protocol when diagnostics.otel.protocol is unset. Only http/protobuf enables export.
OTEL_SEMCONV_STABILITY_OPT_IN	Set to gen_ai_latest_experimental to emit the latest GenAI inference span shape: {gen_ai.operation.name} {gen_ai.request.model} span names, CLIENT span kind, and gen_ai.provider.name instead of the legacy gen_ai.system. GenAI metrics always use bounded, low-cardinality attributes regardless.
OPENCLAW_OTEL_PRELOADED	Set to 1 when another preload or host process already registered the global OpenTelemetry SDK. The plugin then skips its own NodeSDK lifecycle but still wires diagnostic listeners and honors traces/metrics/logs.

Privacy and content capture

Raw model/tool content is not exported by default. Spans carry bounded identifiers (channel, provider, model, error category, hash-only request ids, tool source, tool owner, skill name/source) and never include prompt text, response text, tool inputs, tool outputs, skill file paths, or session keys. Values that look like scoped agent session keys (for example starting with agent:) are replaced with unknown on low-cardinality attributes. OTLP log records keep severity, logger, code location, trusted trace context, and sanitized attributes by default; the raw log message body is exported only when diagnostics.otel.captureContent is boolean true. Granular captureContent.* subkeys never enable log bodies. Talk metrics export only bounded event metadata (mode, transport, provider, event type) - no transcripts, audio payloads, session ids, turn ids, call ids, room ids, or handoff tokens.

Outbound model requests may include a W3C traceparent header generated only from OpenClaw-owned diagnostic trace context for the active model call. Existing caller-supplied traceparent headers are replaced, so plugins or custom provider options cannot spoof cross-service trace ancestry.

Set diagnostics.otel.captureContent.* to true only when your collector and retention policy are approved for prompt, response, tool, or system-prompt text. Each subkey is independent:

• inputMessages - user prompt content.
• outputMessages - model response content.
• toolInputs - tool argument payloads.
• toolOutputs - tool result payloads.
• systemPrompt - assembled system/developer prompt.
• toolDefinitions - model tool names, descriptions, and schemas.

When any subkey is enabled, model and tool spans get bounded, redacted openclaw.content.* attributes for that class only.

Boolean `captureContent: true` enables `inputMessages`, `outputMessages`, `toolInputs`, `toolOutputs`, `toolDefinitions`, and OTLP log bodies together, but **not** `systemPrompt` - set `captureContent.systemPrompt: true` explicitly if you also need the assembled system prompt.

toolInputs/toolOutputs content is captured for the built-in agent runtime's tool executions (openclaw.content.tool_input and gen_ai.tool.call.arguments on completed/error spans; openclaw.content.tool_output and gen_ai.tool.call.result on completed spans). The openclaw.content.* names remain the stable OpenClaw attribute names; the gen_ai.tool.call.* copies mirror them for semconv-native viewers. External harness tool calls (Codex, Claude CLI) emit tool.execution.* spans without content payloads. Captured content travels on a trusted, listener-only channel and is never placed on the public diagnostic event bus.

Sampling and flushing

• Traces: diagnostics.otel.sampleRate sets a TraceIdRatioBasedSampler on the root span only (0.0 drops all, 1.0 keeps all). Unset uses the OpenTelemetry SDK default (always-on).
• Metrics: diagnostics.otel.flushIntervalMs (clamped to a minimum of 1000); unset uses the SDK's periodic-export default.
• Logs: OTLP logs respect logging.level (file log level) and use the diagnostic log-record redaction path, not console formatting. High-volume installs should prefer OTLP collector sampling/filtering over local sampling. Set diagnostics.otel.logsExporter: "stdout" when your platform already ships stdout/stderr to a log processor and you have no OTLP logs collector. Stdout records are one JSON object per line with ts, signal, service.name, severity, body, redacted attributes, and trusted trace fields when available.
• File-log correlation: JSONL file logs include top-level traceId, spanId, parentSpanId, and traceFlags when the log call carries a valid diagnostic trace context, letting log processors join local log lines with exported spans.
• Request correlation: Gateway HTTP requests and WebSocket frames create an internal request trace scope. Logs and diagnostic events inside that scope inherit the request trace by default, while agent run and model-call spans are created as children so provider traceparent headers stay on the same trace.
• Model-call correlation: openclaw.model.call spans include safe prompt component sizes by default and per-call token attributes when the provider result exposes usage. openclaw.model.usage remains the run-level accounting span for aggregate cost, context, and channel dashboards, and stays on the same diagnostic trace when the emitting runtime has trusted trace context.

Model-call observation units

Every openclaw.model.call span identifies what its lifecycle measures through openclaw.model_call.observation_unit:

• request - one observable model/provider request. Native embedded model calls use this unit, and exporters treat a missing value as request for compatibility with older or external emitters.
• turn - one opaque agent CLI turn that may contain hidden model requests, retries, tool work, or background work. Claude Code CLI and Codex app-server calls use this unit.

Both units remain model-call spans so trace backends can render model input, output, usage, and hierarchy. Request spans use the API-derived GenAI operation (chat, generate_content, or text_completion), while turn spans use gen_ai.operation.name = invoke_agent. Both contribute to gen_ai.client.operation.duration, where the operation name keeps direct request latency separate from full-turn latency. OpenClaw's OTEL model-call metrics also include openclaw.model_call.observation_unit; the Prometheus model-call metrics expose the equivalent observation_unit label.

Claude Code CLI model-call fidelity

Claude Code CLI turns emit one synthetic, turn-level openclaw.model.call span. These are not Anthropic HTTP request spans. They use openclaw.api = claude-code, openclaw.model_call.observation_unit = turn, and identify the operation as gen_ai.operation.name = invoke_agent. They identify OpenClaw's CLI boundary through openclaw.transport:

• stdio - one-shot local Claude Code process.
• stdio-live - one turn on a managed persistent Claude stdio session.
• paired-node-cli - one-shot Claude Code execution delegated to a paired node.

Claude CLI diagnostics are instantiated only while the process diagnostic dispatcher is enabled and an internal or trusted event listener is attached. With no observability plugin or other listener active, Claude CLI turns skip the synthetic trace hierarchy, content buffers, and diagnostic stream-byte accounting. When content capture is enabled, prompt and system-prompt fields are capped at 128 KiB each; assistant output is capped at 128 KiB across at most 200 envelopes, with 16 KiB and one item reserved for a final visible fallback response. A marker records truncation when the limit is reached.

OpenClaw gives Claude CLI turns the same ownership hierarchy used by other agent runtimes: openclaw.harness.run (openclaw.harness.id = claude-cli) contains openclaw.run, which contains the Claude openclaw.model.call span. The harness and run spans are synthetic OpenClaw turn boundaries, not Claude Code internal phases. One-shot and managed stdio turns use the same hierarchy; a real fresh-session retry creates another model-call child inside the same OpenClaw run.

The span starts when OpenClaw admits the prepared CLI turn and ends only after that turn succeeds or fails. For managed sessions, an interim success result does not end the span while Claude reports result-holding background agents or workflows; the final post-drain result does. Abort, timeout, process failure, output/parse failure, and other turn failures end the same span with an error.

Claude Code reports per-assistant-message usage and may also report cumulative usage on its terminal result. OpenClaw reply accounting continues to use the last assistant message so existing cost semantics do not change; the turn-level model-call span uses terminal cumulative usage when available, including cache-read and cache-creation tokens.

For these CLI spans, byte and timing fields describe the observable OpenClaw CLI boundary:

• openclaw.model_call.request_bytes is the UTF-8 size of the prompt value sent over one-shot stdin/argv, or the managed stdio JSONL user envelope. It is not the size of Claude Code's hidden model request.
• openclaw.model_call.response_bytes is the UTF-8 size of Claude CLI stdout observed during the turn. It is not Anthropic HTTP response size.
• openclaw.model_call.time_to_first_byte_ms is time to the first observable Claude CLI stdout or stderr output. It is not network TTFB.

With the matching granular captureContent fields enabled, the span exports the effective prompt OpenClaw sends to Claude Code, OpenClaw's appended system prompt, and visible assistant text/reasoning/tool-call identity through gen_ai.input.messages, gen_ai.output.messages, and gen_ai.system_instructions. Tool arguments, opaque thinking signatures, and tool results are omitted from the Claude assistant envelope. OpenClaw does not claim access to Claude Code's private system prompt, hidden resumed or compacted request payload, native internal tool schemas, raw Anthropic HTTP request, internal retries, upstream request id, or true network TTFB. Because Claude Code does not expose its effective native tool definitions accurately, these spans do not populate gen_ai.tool.definitions.

External Claude harness tool spans remain metadata-only even when tool content capture is enabled. As with every model span, captured Claude CLI content uses the trusted listener-only path and the exporter's existing redaction and size bounds; content remains off by default.

Exported metrics

Model usage

• openclaw.tokens (counter, attrs: openclaw.token, openclaw.channel, openclaw.provider, openclaw.model, openclaw.agent)
• openclaw.cost.usd (counter, attrs: openclaw.channel, openclaw.provider, openclaw.model)
• openclaw.run.duration_ms (histogram, attrs: openclaw.channel, openclaw.provider, openclaw.model)
• openclaw.context.tokens (histogram, attrs: openclaw.context, openclaw.channel, openclaw.provider, openclaw.model)
• gen_ai.client.token.usage (histogram, GenAI semantic-conventions metric, attrs: gen_ai.token.type = input/output, gen_ai.provider.name, gen_ai.operation.name, gen_ai.request.model)
• gen_ai.client.operation.duration (histogram, seconds, GenAI semantic-conventions metric for model requests and synthetic agent turns; attrs: gen_ai.provider.name, gen_ai.operation.name, gen_ai.request.model, optional error.type; turn observations use gen_ai.operation.name = invoke_agent)
• openclaw.model_call.duration_ms (histogram, attrs: openclaw.provider, openclaw.model, openclaw.api, openclaw.transport, openclaw.model_call.observation_unit, plus openclaw.errorCategory and openclaw.failureKind on classified errors)
• openclaw.model_call.request_bytes (histogram, UTF-8 byte size of the final model request payload; for Claude Code CLI, the observable prompt input/envelope described above; no raw payload content)
• openclaw.model_call.response_bytes (histogram, UTF-8 byte size of streamed response chunk payloads; high-frequency text, thinking, and tool-call deltas count only incremental delta bytes; for Claude Code CLI, observed stdout bytes; no raw response content)
• openclaw.model_call.time_to_first_byte_ms (histogram, elapsed time before the first streamed response event; for Claude Code CLI, first observable CLI output rather than network TTFB)
• openclaw.model.failover (counter, attrs: openclaw.provider, openclaw.model, openclaw.failover.to_provider, openclaw.failover.to_model, openclaw.failover.reason, openclaw.failover.suspended, openclaw.lane)
• openclaw.skill.used (counter, attrs: openclaw.skill.name, openclaw.skill.source, openclaw.skill.activation, optional openclaw.agent, optional openclaw.toolName)

Message flow

• openclaw.webhook.received (counter, attrs: openclaw.channel, openclaw.webhook)
• openclaw.webhook.error (counter, attrs: openclaw.channel, openclaw.webhook)
• openclaw.webhook.duration_ms (histogram, attrs: openclaw.channel, openclaw.webhook)
• openclaw.message.queued (counter, attrs: openclaw.channel, openclaw.source)
• openclaw.message.received (counter, attrs: openclaw.channel, openclaw.source)
• openclaw.message.dispatch.started (counter, attrs: openclaw.channel, openclaw.source)
• openclaw.message.dispatch.completed (counter, attrs: openclaw.channel, openclaw.outcome, openclaw.reason, openclaw.source)
• openclaw.message.dispatch.duration_ms (histogram, attrs: openclaw.channel, openclaw.outcome, openclaw.reason, openclaw.source)
• openclaw.message.processed (counter, attrs: openclaw.channel, openclaw.outcome)
• openclaw.message.duration_ms (histogram, attrs: openclaw.channel, openclaw.outcome)
• openclaw.message.delivery.started (counter, attrs: openclaw.channel, openclaw.delivery.kind)
• openclaw.message.delivery.duration_ms (histogram, attrs: openclaw.channel, openclaw.delivery.kind, openclaw.outcome, openclaw.errorCategory)

Talk

• openclaw.talk.event (counter, attrs: openclaw.talk.event_type, openclaw.talk.mode, openclaw.talk.transport, openclaw.talk.brain, openclaw.talk.provider)
• openclaw.talk.event.duration_ms (histogram, attrs: same as openclaw.talk.event; emitted when a Talk event reports duration)
• openclaw.talk.audio.bytes (histogram, attrs: same as openclaw.talk.event; emitted for Talk audio frame events that report byte length)

Queues and sessions

• openclaw.queue.lane.enqueue (counter, attrs: openclaw.lane)
• openclaw.queue.lane.dequeue (counter, attrs: openclaw.lane)
• openclaw.queue.depth (histogram, attrs: openclaw.lane or openclaw.channel=heartbeat)
• openclaw.queue.wait_ms (histogram, attrs: openclaw.lane)
• openclaw.session.state (counter, attrs: openclaw.state, openclaw.reason)
• openclaw.session.stuck (counter, attrs: openclaw.state; emitted for recoverable stale session bookkeeping)
• openclaw.session.stuck_age_ms (histogram, attrs: openclaw.state; emitted for recoverable stale session bookkeeping)
• openclaw.session.turn.created (counter, attrs: openclaw.agent, openclaw.channel, openclaw.trigger)
• openclaw.session.recovery.requested (counter, attrs: openclaw.state, openclaw.action, openclaw.active_work_kind, openclaw.reason)
• openclaw.session.recovery.completed (counter, attrs: openclaw.state, openclaw.action, openclaw.status, openclaw.active_work_kind, openclaw.reason)
• openclaw.session.recovery.age_ms (histogram, attrs: same as the matching recovery counter)
• openclaw.run.attempt (counter, attrs: openclaw.attempt)

Session liveness telemetry

A processing session does not age toward the built-in liveness threshold while OpenClaw observes reply, tool, status, block, or ACP runtime progress. Typing keepalives do not count as progress, so a silent model or harness can still be detected.

OpenClaw classifies sessions by the work it can still observe:

• session.long_running: active embedded work, model calls, or tool calls are still making progress. Owned silent model calls also report as long-running before the built-in abort threshold, so slow or non-streaming model providers do not look like stalled gateway sessions while abort-observable.
• session.stalled: active work exists, but the active run has not reported recent progress. Owned model calls switch from session.long_running to session.stalled at or after the built-in abort threshold; ownerless stale model/tool activity is not treated as harmless long-running work. Stalled embedded runs stay observe-only at first, then abort-drain after the abort threshold with no progress so queued turns behind the lane can resume.
• session.stuck: stale session bookkeeping with no active work, or an idle queued session with stale ownerless model/tool activity. This releases the affected session lane immediately after recovery gates pass.

Recovery emits structured session.recovery.requested and session.recovery.completed events. Diagnostic session state is marked idle only after a mutating recovery outcome (aborted or released) and only if the same processing generation is still current.

Only session.stuck emits the openclaw.session.stuck counter, the openclaw.session.stuck_age_ms histogram, and the openclaw.session.stuck span. Repeated session.stuck diagnostics back off while the session remains unchanged, so dashboards should alert on sustained increases rather than every heartbeat tick. For the config knob and defaults, see Configuration reference.

Liveness warnings also emit:

• openclaw.liveness.warning (counter, attrs: openclaw.liveness.reason)
• openclaw.liveness.event_loop_delay_p99_ms (histogram, attrs: openclaw.liveness.reason)
• openclaw.liveness.event_loop_delay_max_ms (histogram, attrs: openclaw.liveness.reason)
• openclaw.liveness.event_loop_utilization (histogram, attrs: openclaw.liveness.reason)
• openclaw.liveness.cpu_core_ratio (histogram, attrs: openclaw.liveness.reason)

Harness lifecycle

• openclaw.harness.duration_ms (histogram, attrs: openclaw.harness.id, openclaw.harness.plugin, openclaw.outcome, openclaw.harness.phase on errors)

Tool execution and loop detection

• openclaw.tool.execution.duration_ms (histogram, attrs: gen_ai.tool.name, openclaw.toolName, openclaw.tool.source, openclaw.tool.owner, openclaw.tool.params.kind, plus openclaw.errorCategory on errors)
• openclaw.tool.execution.blocked (counter, attrs: gen_ai.tool.name, openclaw.toolName, openclaw.tool.source, openclaw.tool.owner, openclaw.tool.params.kind, openclaw.deniedReason)
• openclaw.tool.loop (counter, attrs: openclaw.toolName, openclaw.loop.level, openclaw.loop.action, openclaw.loop.detector, openclaw.loop.count, optional openclaw.loop.paired_tool; emitted when a repetitive tool-call loop is detected)

Exec

• openclaw.exec.duration_ms (histogram, attrs: openclaw.exec.target, openclaw.exec.mode, openclaw.outcome, openclaw.failureKind)

Diagnostics internals (memory, payloads, exporter health)

• openclaw.payload.large (counter, attrs: openclaw.payload.surface, openclaw.payload.action, openclaw.channel, openclaw.plugin, openclaw.reason)
• openclaw.payload.large_bytes (histogram, attrs: same as openclaw.payload.large)
• openclaw.memory.rss_bytes / openclaw.memory.heap_used_bytes / openclaw.memory.heap_total_bytes / openclaw.memory.external_bytes / openclaw.memory.array_buffers_bytes (histograms, no attrs; process memory samples)
• openclaw.memory.pressure (counter, attrs: openclaw.memory.level, openclaw.memory.reason)
• openclaw.diagnostic.async_queue.dropped (counter, attrs: openclaw.diagnostic.async_queue.drop_class; internal diagnostic-queue backpressure drops)
• openclaw.telemetry.exporter.events (counter, attrs: openclaw.exporter, openclaw.signal, openclaw.status, optional openclaw.reason, optional openclaw.errorCategory; exporter lifecycle/failure self-telemetry)

Exported spans

• openclaw.model.usage
  • openclaw.channel, openclaw.provider, openclaw.model
  • openclaw.tokens.* (input/output/cache_read/cache_write/total)
  • gen_ai.system by default, or gen_ai.provider.name when the latest GenAI semantic conventions are opted in
  • gen_ai.request.model, gen_ai.operation.name, gen_ai.usage.*
• openclaw.run
  • openclaw.outcome, openclaw.channel, openclaw.provider, openclaw.model, openclaw.errorCategory
• openclaw.model.call
  • gen_ai.system by default, or gen_ai.provider.name when the latest GenAI semantic conventions are opted in
  • gen_ai.request.model, gen_ai.operation.name, openclaw.provider, openclaw.model, openclaw.api, openclaw.transport, openclaw.model_call.observation_unit (request or turn)
  • openclaw.errorCategory, error.type, and optional openclaw.failureKind on errors
  • openclaw.model_call.request_bytes, openclaw.model_call.response_bytes, openclaw.model_call.time_to_first_byte_ms
  • openclaw.model_call.prompt.input_messages_count, openclaw.model_call.prompt.input_messages_chars, openclaw.model_call.prompt.system_prompt_chars, openclaw.model_call.prompt.tool_definitions_count, openclaw.model_call.prompt.tool_definitions_chars, openclaw.model_call.prompt.total_chars (safe component sizes only, no prompt text)
  • openclaw.model_call.usage.* and gen_ai.usage.* when the result carries usage for that request or aggregate turn
  • Span event openclaw.provider.request with attribute openclaw.upstreamRequestIdHash (bounded, hash-based) when the upstream provider result exposes a request id; raw ids are never exported
  • With OTEL_SEMCONV_STABILITY_OPT_IN=gen_ai_latest_experimental, request spans use the latest GenAI inference span name {gen_ai.operation.name} {gen_ai.request.model}. Turn spans use invoke_agent because OpenClaw does not claim a native agent name from the opaque CLI boundary. Both use CLIENT span kind instead of openclaw.model.call.
• openclaw.harness.run
  • openclaw.harness.id, openclaw.harness.plugin, openclaw.outcome, openclaw.provider, openclaw.model, openclaw.channel
  • On completion: openclaw.harness.result_classification, openclaw.harness.yield_detected, openclaw.harness.items.started, openclaw.harness.items.completed, openclaw.harness.items.active
  • On error: openclaw.harness.phase, openclaw.errorCategory, optional openclaw.harness.cleanup_failed
• openclaw.tool.execution
  • gen_ai.tool.name, gen_ai.operation.name (execute_tool), openclaw.toolName, openclaw.tool.source, optional gen_ai.tool.call.id, openclaw.tool.owner, openclaw.tool.params.*
  • Optional openclaw.errorCategory/openclaw.errorCode on errors, openclaw.deniedReason and openclaw.outcome=blocked when denied by policy or sandbox
• openclaw.exec
  • openclaw.exec.target, openclaw.exec.mode, openclaw.outcome, openclaw.failureKind, openclaw.exec.command_length, openclaw.exec.exit_code, openclaw.exec.exit_signal, openclaw.exec.timed_out
• openclaw.webhook.processed
  • openclaw.channel, openclaw.webhook
• openclaw.webhook.error
  • openclaw.channel, openclaw.webhook, openclaw.error
• openclaw.message.processed
  • openclaw.channel, openclaw.outcome, openclaw.reason
• openclaw.message.delivery
  • openclaw.channel, openclaw.delivery.kind, openclaw.outcome, openclaw.errorCategory, openclaw.delivery.result_count
• openclaw.session.stuck
  • openclaw.state, openclaw.ageMs, openclaw.queueDepth
• openclaw.context.assembled
  • openclaw.prompt.size, openclaw.history.size, openclaw.context.tokens, openclaw.errorCategory (no prompt, history, response, or session-key content)
• openclaw.tool.loop
  • openclaw.toolName, openclaw.loop.level, openclaw.loop.action, openclaw.loop.detector, openclaw.loop.count, optional openclaw.loop.paired_tool (no loop messages, params, or tool output)
• openclaw.memory.pressure
  • openclaw.memory.level, openclaw.memory.reason, openclaw.memory.rss_bytes, openclaw.memory.heap_used_bytes, openclaw.memory.heap_total_bytes, openclaw.memory.external_bytes, openclaw.memory.array_buffers_bytes, optional openclaw.memory.threshold_bytes/openclaw.memory.rss_growth_bytes/openclaw.memory.window_ms

When content capture is explicitly enabled, model and tool spans can also include bounded, redacted openclaw.content.* attributes for the specific content classes you opted into.

Diagnostic event catalog

The events below back the metrics and spans above or are available for direct plugin subscription. run.progress and run.execution_phase are direct-only lifecycle signals; the diagnostics-otel plugin does not export them as standalone OTLP signals. Event kinds and run.execution_phase.phase values are additive. TypeScript consumers should keep default branches instead of assuming either union is permanently exhaustive.

Model usage

• model.usage - tokens, cost, duration, context, provider/model/channel, session ids. usage is provider/turn accounting for cost and telemetry; context.used is the current prompt/context snapshot and can be lower than provider usage.total when cached input or tool-loop calls are involved.

Message flow

• webhook.received / webhook.processed / webhook.error
• message.queued / message.processed
• message.delivery.started / message.delivery.completed / message.delivery.error

Queue and session

• queue.lane.enqueue / queue.lane.dequeue
• session.state / session.long_running / session.stalled / session.stuck
• run.attempt / run.progress
• run.execution_phase (public, session-correlated embedded-runner startup milestones)
• diagnostic.heartbeat (aggregate counters: webhooks/queue/session)

Harness lifecycle

• harness.run.started / harness.run.completed / harness.run.error - per-run lifecycle for the agent harness. Includes harnessId, optional pluginId, provider/model/channel, and run id. Completion adds durationMs, outcome, optional resultClassification, yieldDetected, and itemLifecycle counts. Errors add phase (prepare/start/send/resolve/cleanup), errorCategory, and optional cleanupFailed.

Exec

• exec.process.completed - terminal outcome, duration, target, mode, exit code, and failure kind. Command text and working directories are not included.
• exec.approval.followup_suppressed - stale approval follow-up dropped after a session rebound. Includes approvalId, reason (session_rebound), phase (direct_delivery or gateway_preflight), and the dispatcher timestamp. Session keys, routes, and command text are not included.

Without an exporter

Keep diagnostics events available to plugins or custom sinks without running diagnostics-otel:

{
  diagnostics: { enabled: true },
}

For targeted debug output without raising logging.level, use diagnostics flags. Flags are case-insensitive and support wildcards (telegram.* or *):

{
  diagnostics: { flags: ["telegram.http"] },
}

Or as a one-off env override:

OPENCLAW_DIAGNOSTICS=telegram.http,telegram.payload openclaw gateway

Flag output goes to the standard log file (logging.file) and is still redacted by logging.redactSensitive. Full guide: Diagnostics flags.

Disable

{
  diagnostics: { otel: { enabled: false } },
}

Or leave diagnostics-otel out of plugins.allow, or run openclaw plugins disable diagnostics-otel.

Related

• Logging - file logs, console output, CLI tailing, and the Control UI Logs tab
• Gateway logging internals - WS log styles, subsystem prefixes, and console capture
• Diagnostics flags - targeted debug-log flags
• Diagnostics export - operator support-bundle tool (separate from OTEL export)
• Configuration reference - full diagnostics.* field reference