{"slug": "grok-build-observability-monitoring-with-opentelemetry", "title": "Grok Build Observability & Monitoring with OpenTelemetry", "summary": "XAI's terminal coding agent Grok Build now supports full observability via OpenTelemetry, emitting metrics and structured events that can be monitored in SigNoz. The integration requires setting the GROK_EXTERNAL_OTEL master switch and an exporter, with metrics covering token usage, turns, tool calls, errors, and startup timings. SigNoz provides a Metrics Explorer and Logs Explorer to visualize these signals, enabling teams to track token spend, model usage, tool adoption, and failure reasons.", "body_md": "## What is Grok Build Observability?\n\n[Grok Build](https://github.com/xai-org/grok-build) is xAI's terminal coding agent. It ships its own OpenTelemetry exporter, so instrumenting it is a matter of configuration: there is no library to install and no collector to run. Once enabled, it emits metrics covering token usage, turns, tool calls, errors, and startup timings, plus a stream of structured events for each session.\n\nWith full Grok Build observability in SigNoz, you can see how much your team is spending in tokens and on which models, which tools the agent actually reaches for, how often turns fail and why, and where startup time is going.\n\n## Prerequisites\n\n- SigNoz setup (choose one):\n[SigNoz Cloud account](https://signoz.io/teams/)with an active ingestion key- Self-hosted SigNoz instance\n\n- Grok Build installed. See the\n[xAI installation guide](https://docs.x.ai/build/overview) - A SuperGrok subscription or an\n`XAI_API_KEY`\n\n## Monitor Grok Build with OpenTelemetry\n\nGrok Build's telemetry is a double opt-in. The `GROK_EXTERNAL_OTEL`\n\nmaster switch and at least one exporter must both be set, since either alone emits nothing.\n\n**Step 1:** Launch Grok Build with telemetry enabled\n\n```\nexport GROK_EXTERNAL_OTEL=1\nexport OTEL_METRICS_EXPORTER=otlp\nexport OTEL_LOGS_EXPORTER=otlp\nexport OTEL_EXPORTER_OTLP_PROTOCOL=http/protobuf\nexport OTEL_EXPORTER_OTLP_ENDPOINT=\"https://ingest.<region>.signoz.cloud:443\"\nexport OTEL_EXPORTER_OTLP_HEADERS=\"signoz-ingestion-key=<your-ingestion-key>\"\nexport OTEL_METRIC_EXPORT_INTERVAL=10000\n \ngrok\n```\n\n**Verify these values:**\n\n`<region>`\n\n: Your[SigNoz Cloud region](https://signoz.io/docs/ingestion/signoz-cloud/overview/#endpoint).`<your-ingestion-key>`\n\n: Your SigNoz[ingestion key](https://signoz.io/docs/ingestion/signoz-cloud/keys/).\n\n**Step 2:** Generate some telemetry\n\nRun a few prompts that make the agent read files or run commands, so tool and token metrics have something to report.\n\n```\ngrok -p \"List the files in this directory and summarise what this project does.\"\n```\n\nThe default metric export interval is 60 seconds, which is why the snippet above lowers it to 10 seconds while you verify the pipeline. Events are exported every 5 seconds by default.\n\n## View Grok Build Metrics in SigNoz\n\nMetrics are Grok Build's primary signal. Open the [Metrics Explorer](https://signoz.io/docs/metrics-management/metrics-explorer/), search for `grok_code.token.usage`\n\n, and run the query to confirm data is arriving.\n\nEvery metric lives under the `ai.xai.grok_code`\n\nmeter scope. All the counters are monotonic delta sums, so aggregate them with `increase`\n\nto get totals rather than `rate`\n\n.\n\n| Metric | Unit | Key attributes |\n|---|---|---|\n`grok_code.session.count` | `{session}` | base attributes only |\n`grok_code.turn.count` | `{turn}` | `outcome` (`completed` , `cancelled` , `error` ), `model` |\n`grok_code.token.usage` | `{token}` | `type` (`input` , `output` , `reasoning` , `cache_read` ), `model` |\n`grok_code.tool.usage` | `{call}` | `tool_name` , `outcome` |\n`grok_code.tool.decision` | `{decision}` | `tool_name` , `decision` , `access_kind` , `permission_mode` |\n`grok_code.error.count` | `{error}` | `error_category` , `model` |\n`grok_code.startup.total` | `ms` | `outcome` , `auth_mode` |\n`grok_code.startup.phase_duration` | `ms` | `phase` , `outcome` , `auth_mode` |\n\n## View Grok Build Logs in SigNoz\n\nOpen the [Logs Explorer](https://signoz.io/docs/userguide/logs_query_builder/) and filter with `service.name = 'grok-cli'`\n\nto see the event stream. Each event carries its detail in attributes rather than in the log body, so open a record to inspect it.\n\nUseful attributes include `model`\n\n, `input_tokens`\n\n, `output_tokens`\n\n, `cache_read_tokens`\n\n, `reasoning_tokens`\n\n, `tool_name`\n\n, `outcome`\n\n, and `duration_ms`\n\n. Every event also carries `session.id`\n\nand `prompt.id`\n\n, so you can group everything produced while handling a single prompt.\n\n## Grok Build Observability Dashboard\n\nThe [Grok Build dashboard](https://signoz.io/docs/dashboards/dashboard-templates/grok-build-dashboard/) gives you token usage by type and model, tool activity, error categories, and startup latency out of the box.\n\n## Troubleshooting Grok Build Observability\n\n### No data in SigNoz\n\nCheck that both `GROK_EXTERNAL_OTEL=1`\n\nand at least one exporter are set. Either on its own emits nothing. Then run `grok --debug`\n\nand search the log under `~/.grok/debug/`\n\nfor `external otel:`\n\nlines, which report whether the stream resolved its configuration and whether exports are succeeding.\n\n### Metrics are missing but events arrive\n\nThe two signals have different export intervals. Metrics default to 60 seconds while events default to 5, so metrics can look absent for a full minute after startup. Set `OTEL_METRIC_EXPORT_INTERVAL=10000`\n\nwhile you verify.\n\n### Nothing arrives for the first few seconds\n\nGrok Build holds telemetry closed at startup until it has fetched fleet policy from xAI, since that policy can disable the stream. The wait is bounded and emission begins within 30 seconds regardless.\n\n### Export errors mentioning gRPC\n\nSet `OTEL_EXPORTER_OTLP_PROTOCOL=http/protobuf`\n\n. gRPC is documented as supported but does not work in version 1.0.3.\n\n## Related integrations\n\nInstrument the other AI coding agents you run, using the same OpenTelemetry pipeline:\n\n[Monitor OpenAI Codex with OpenTelemetry](https://signoz.io/docs/codex-monitoring/)- track Codex CLI sessions, token spend, and command-level traces[Claude Code monitoring with OpenTelemetry](https://signoz.io/docs/claude-code-monitoring/)- track token usage, costs, and tool decisions[OpenCode observability with OpenTelemetry](https://signoz.io/docs/opencode-observability/)- trace OpenCode sessions, tool calls, and per-message cost\n\nBrowse [all LLM observability integrations](https://signoz.io/docs/llm-observability/) to instrument the rest of your stack.\n\nAdditional resources:", "url": "https://wpnews.pro/news/grok-build-observability-monitoring-with-opentelemetry", "canonical_source": "https://signoz.io/docs/grok-build-observability", "published_at": "2026-08-14 00:00:00+00:00", "updated_at": "2026-08-16 08:11:39.375864+00:00", "lang": "en", "topics": ["developer-tools", "ai-tools", "ai-infrastructure", "mlops"], "entities": ["xAI", "Grok Build", "SigNoz", "OpenTelemetry"], "alternates": {"html": "https://wpnews.pro/news/grok-build-observability-monitoring-with-opentelemetry", "markdown": "https://wpnews.pro/news/grok-build-observability-monitoring-with-opentelemetry.md", "text": "https://wpnews.pro/news/grok-build-observability-monitoring-with-opentelemetry.txt", "jsonld": "https://wpnews.pro/news/grok-build-observability-monitoring-with-opentelemetry.jsonld"}}