OpenTelemetry export

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.

Which processes export

Gateway starts the exporter at startup and exports from the Gateway process for every run it executes, including openclaw agent turns dispatched to it.
One-shot local runs (openclaw agent --local) execute in the CLI process. When OTel export is configured and the plugin is enabled, that same CLI process starts one exporter instance for the run and flushes buffered spans, metrics, and logs before the process exits. The CLI waits at most 5 seconds for the diagnostic-event queue to drain and 10 more for the flush, so an unreachable collector cannot hold the command open. A collector that accepts the connection but never answers can still delay exit until the exporter’s own request timeout (OTEL_EXPORTER_OTLP_TIMEOUT). In JSON output mode, these one-shot runs suppress only the stdout JSONL log sink so command stdout stays reserved for the JSON response; OTLP traces, metrics, and logs continue when configured.
openclaw agent exec also runs the agent embedded in the CLI process, but does not yet start this exporter, so its runs export no telemetry. Dispatch through the Gateway, or use openclaw agent --local, when you need traces from a headless run.

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"
      metricNamePrefix: "acme.", // optional; include the separator
      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: false,
    },
  },
}

metricNamePrefix replaces the default openclaw. prefix only on OpenClaw-owned metrics. For example, "acme." exports openclaw.tokens as acme.tokens; set it to "" to export tokens with no prefix. Non-empty values must start with an ASCII letter, use only letters, digits, underscores, dots, hyphens, and slashes, and contain at most 128 characters. Set it to "acme.openclaw." if you want acme.openclaw.tokens. Standard semantic-convention metrics such as gen_ai.client.token.usage and gen_ai.client.operation.duration keep their original names. Leave the option unset to preserve every current metric name. Enabling or changing this option renames the affected metric series, so update dashboards, alerts, and recording rules that query the old names.

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`.

Continue an upstream WebSocket trace

An authenticated Gateway WebSocket client can attach a W3C traceparent to each request frame:

{
  "type": "req",
  "id": "eval-item-42",
  "method": "agent",
  "params": {},
  "traceparent": "00-4bf92f3577b34da6a3ce929d0e0e4736-00f067aa0ba902b7-01"
}

The Gateway creates a child request context that preserves the upstream trace ID and sampling flags. Agent, harness, model-call, provider, tool-execution, and exec spans created inside the request remain on that trace, including spans recorded after their parent run has already finished. This allows a local experiment runner to create one Langfuse/OpenTelemetry trace per dataset item and correlate the corresponding OpenClaw execution. Trace context is request-scoped, not connection-scoped. On a long-lived WebSocket, generate or inject the appropriate traceparent independently for every RPC. Concurrent requests remain isolated even when their work interleaves. The field is accepted only after the existing Gateway authentication handshake and does not affect authentication or method authorization. A traceparent on the initial connect frame is ignored. Missing or syntactically malformed values within the 128-character field limit silently fall back to a fresh request trace; longer values make the request frame invalid. tracestate and baggage are not accepted by the Gateway WebSocket protocol.

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 true. 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, and tool-definition text. This enables bounded, redacted input messages, output messages, tool inputs, tool outputs, tool definitions, and OTLP log bodies. System prompts remain excluded. Provider-internal thinking and redacted_thinking payloads are also excluded: compatibility attributes retain only a redacted structural marker, while GenAI message attributes omit those parts. 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 captureContent enabled, the span exports the effective prompt OpenClaw sends to Claude Code and visible assistant text/tool-call identity through gen_ai.input.messages and gen_ai.output.messages. Tool arguments, internal thinking, opaque thinking signatures, tool results, and system prompts 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. Public events are also available for direct plugin subscription; trusted core events such as model.usage are restricted to authorized internal consumers. 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 is a trusted, in-process diagnostic event, not a JSONL log record. A representative event has this shape:

{
  "type": "model.usage",
  "ts": 1735689600000,
  "seq": 42,
  "provider": "openai",
  "model": "gpt-5.4",
  "channel": "webchat",
  "agentId": "main",
  "sessionId": "session-123",
  "sessionKey": "agent:main:main",
  "usage": {
    "input": 120,
    "output": 40,
    "cacheRead": 30,
    "cacheWrite": 10,
    "promptTokens": 160,
    "total": 200
  },
  "lastCallUsage": {
    "input": 120,
    "output": 40,
    "cacheRead": 30,
    "cacheWrite": 10,
    "total": 200
  },
  "context": { "limit": 128000, "used": 160 },
  "costUsd": 0.0012,
  "durationMs": 850,
  "trace": {
    "traceId": "4bf92f3577b34da6a3ce929d0e0e4736",
    "spanId": "00f067aa0ba902b7",
    "traceFlags": "01"
  }
}

ts is a Unix timestamp in milliseconds; seq is process-local.
usage holds turn-level token counts. promptTokens includes input, cacheRead, and cacheWrite; lastCallUsage, when available, describes the final model call.
context.used is the current prompt/context snapshot and can be lower than usage.total when cached input or tool-loop calls are involved.
Provider/model/session identifiers, token buckets, lastCallUsage, context, costUsd, durationMs, and trace fields are optional. costUsd is an estimate and can be absent when model pricing is unavailable; it is not provider-reported billing. Trace context can also include parentSpanId.

The Gateway’s /tmp/openclaw/openclaw-YYYY-MM-DD.log JSONL file and diagnostics.otel.logsExporter: "stdout" contain ordinary log records, not raw model.usage events. Public diagnostic subscriptions and diagnostics.stability do not expose trusted core usage events. The diagnostics-otel plugin converts them to metrics such as openclaw.tokens and openclaw.cost.usd and to openclaw.model.usage spans; those usage metrics and spans intentionally omit session identifiers. For an external integration that needs session-correlated usage, query the authenticated Gateway instead:

openclaw gateway call sessions.usage --params '{"range":"30d","agentScope":"all"}' --json
openclaw gateway usage-cost --days 30 --all-agents --json

Both commands require operator.read. sessions.usage can include per-session sessionId, provider/model details, and token/cost summaries; per-session usage can be temporarily null while its cache refreshes. usage-cost provides aggregate estimates. Omit agentScope or --all-agents to scope the report to the default agent. For continuously updated clients, subscribe to session changes instead of polling usage reports. See the Gateway RPC method reference for usage methods and request options. 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 the always-on log redaction policy. Full guide: Diagnostics flags.

Disable

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

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

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

Gateway

Remote access

Security

Nodes and media

Web interfaces

OpenTelemetry export

Quick start

Signals exported

Which processes export

Configuration reference

Environment variables

Continue an upstream WebSocket trace

Privacy and content capture

Sampling and flushing

Model-call observation units

Claude Code CLI model-call fidelity

Exported metrics

Model usage

Message flow

Talk

Queues and sessions

Session liveness telemetry

Harness lifecycle

Tool execution and loop detection

Exec

Diagnostics internals (memory, payloads, exporter health)

Exported spans

Diagnostic event catalog

Without an exporter

Disable

​Quick start

​Signals exported

​Which processes export

​Configuration reference

​Environment variables

​Continue an upstream WebSocket trace

​Privacy and content capture

​Sampling and flushing

​Model-call observation units

​Claude Code CLI model-call fidelity

​Exported metrics

​Model usage

​Message flow

​Talk

​Queues and sessions

​Session liveness telemetry

​Harness lifecycle

​Tool execution and loop detection

​Exec

​Diagnostics internals (memory, payloads, exporter health)

​Exported spans

​Diagnostic event catalog

​Without an exporter

​Disable

​Related

Quick start

Signals exported

Which processes export

Configuration reference

Environment variables

Continue an upstream WebSocket trace

Privacy and content capture

Sampling and flushing

Model-call observation units

Claude Code CLI model-call fidelity

Exported metrics

Model usage

Message flow

Talk

Queues and sessions

Session liveness telemetry

Harness lifecycle

Tool execution and loop detection

Exec

Diagnostics internals (memory, payloads, exporter health)

Exported spans

Diagnostic event catalog

Without an exporter

Disable

Related