cargo-observability

Watch a Cargo workspace and get told when something breaks — scheduled threshold alerts over workflow telemetry (spans, runs, records), a storage model freshness or row count, or any SQL query, firing a connector, tool, or agent when a metric breaches. Triggers: "alert me when", "notify me if", "let me know when the error rate", "monitor this workflow", "tell me if the sync stops", "warn me before I run out of credits", "dead man’s switch", "is this still running", "set up monitoring", plus listing, previewing, editing, and reviewing an alert firing history. Skip when: diagnosing something that already went wrong — use cargo-diagnostics.

Cargo CLI — Observability

Alerts. An alert is a scheduled threshold check. On every cron tick it measures a scope (what to watch), compares the measured value against a threshold (the breach condition), and on breach fires actions — each as its own run — and records an event. This is the proactive counterpart to cargo-diagnostics: diagnostics explains a failure after you notice it; an alert tells you the moment a metric crosses a line.

Everything lives under one CLI domain:

bash

cargo-ai observability alert   …   # the alert CRUD + preview surface
cargo-ai observability event   …   # an alert's firing history

Bootstrap

Already signed in (cargo-ai whoami returns a workspace)? Skip to the next section.

bash

npm install -g @cargo-ai/cli            # no global install? prefix every command with `npx @cargo-ai/cli`
cargo-ai login --email [e-mail]  # emailed code, no browser; creates the account on first use
                                        # alternatives: --oauth (browser) · --token <api-token> (CI)
cargo-ai whoami                         # confirm the active workspace before any write

Every command prints JSON to stdout; failures exit non-zero with {"errorMessage": "..."}. Anything that creates a run or a batch is async — pass --wait-until-finished or poll the matching get. Alerts are guarded by observability:read / observability:write permissions. If a create/update/remove returns a permission error, the token lacks observability:write — use an admin token or have one granted (../cargo-workspace-management/SKILL.md). When the full skill bundle is installed, ../cargo/references/prerequisites.md adds the CLI version pin, token scopes, and the admin-only surface.

The three moving parts of every alert

Part	Flag	What it is
Scope	--scope <json>	What to measure — one of six sources: spans, runs, records, orchestrationQuery, storageQuery, model.
Threshold	--threshold <json>	When it breaches — a metric + operator (gte/lte) + value. The metric menu depends on the scope.
Actions	--actions <json>	What happens on breach — an Action[] (connector / tool / agent / native nodes), each fired as its own run. Optional; omit for a silent alert whose breaches you read from its events.

The scope and threshold are a matched pair — a metric can only be computed over the scopes that produce it (e.g. errorRate needs telemetry, freshness needs a model). The full compatibility matrix, every metric's meaning and units, and every scope filter field are in references/scopes-and-thresholds.md — read it before writing a --scope/--threshold pair you haven't used before.

The golden rule: preview before you create

alert preview evaluates a scope + threshold right now, without firing actions or writing an event. It returns the value the alert would measure and whether that value breaches — so you calibrate the threshold against reality instead of guessing, and you confirm the scope/threshold pairing is even valid before committing it to a schedule.

bash

cargo-ai observability alert preview \
  --scope '{"kind":"runs","workflowUuid":"<uuid>","statuses":["error"]}' \
  --threshold '{"metric":"errorRate","operator":"gte","value":10}' \
  --window-minutes 1440          # last 24h; default 60

• outcome: "computed" → { value, total, failed, isBreached }. Set your threshold from value.
• outcome: "empty" → the window had nothing to measure (see the empty-vs-zero rule in references/alert-lifecycle.md).
• outcome: "notComputed" → { errorMessage }. A bad SQL query, a deleted model, or an invalid scope/threshold pairing all land here — fix it before creating.

--window-minutes only shapes the window for telemetry scopes (spans/runs/records). A model is measured as it stands right now; a query scope windows itself in its SQL.

Always preview first. It is free, it is the only way to size a threshold correctly, and it catches an invalid pairing before it becomes a schedule that writes an error event every tick.

Commands

All commands output JSON. Reads need a token with observability:read; create/update/remove need observability:write (an admin token has both; a plain member token may not — see Bootstrap above).

Create an alert

bash

cargo-ai observability alert create \
  --name "CRM sync error rate" \
  --description "Page when the HubSpot sync starts failing" \
  --cron "*/30 * * * *" \
  --scope '{"kind":"runs","workflowUuid":"<workflow-uuid>","statuses":["error"]}' \
  --threshold '{"metric":"errorRate","operator":"gte","value":10}' \
  --actions '[{"kind":"agent","agentUuid":"<agent-uuid>","config":{"message":"{{alert.name}} breached: {{event.value}}% errors. {{alert.url}}"}}]'

• --cron — 5-field cron or @every <interval> (e.g. @every 30m), always UTC, at most once a minute. The UI presets bottom out at 30 minutes; go tighter only with reason (every tick scans ClickHouse and can fire paid runs).
• --disabled — create it paused (evaluate nothing until you update --enabled true).
• --folder <uuid> — file it under a folder (from cargo-workspace-management).
• --actions — optional. Omit for a silent alert. The config is templated against the firing context ({{alert.*}}, {{event.*}}) — see references/alert-lifecycle.md for the full variable list. Each action's target (agentUuid/toolUuid/connectorUuid) is validated to exist in the workspace at create time.

List, get, update, remove

bash

cargo-ai observability alert list                      # all alerts, each with its lastEvent
cargo-ai observability alert get <uuid>                # one alert + its lastEvent

cargo-ai observability alert update --uuid <uuid> \
  --enabled false                                      # pause it (true/false — must be literal)
cargo-ai observability alert update --uuid <uuid> \
  --threshold '{"metric":"errorRate","operator":"gte","value":20}'   # raise the bar
cargo-ai observability alert update --uuid <uuid> \
  --description none                                    # "none" clears; --folder none unfiles

cargo-ai observability alert remove <uuid>

--enabled is strict: only the literal true or false are accepted — --enabled yes is rejected rather than silently disabling the alert. On update, any flag you omit is left unchanged; --description none / --folder none are the explicit "clear it" spellings.

Inspect firing history

bash

cargo-ai observability event list <alertUuid>          # latest evaluation events, newest first

Each event carries status (healthy / unhealthy / error), the measured value, a snapshot of the scope/threshold/actions as they were when it fired (the alert can change afterwards), runUuids (the runs the actions spawned — feed these to cargo-diagnostics or orchestration run get), the evaluation window, and errorMessage for error events. unhealthy = breached and fired; error = the metric could not be computed.

How evaluation actually works

The lifecycle — cron windows and the ClickHouse indexing lag, the at-most-once firing guarantee (an alert never re-fires on the same rows; a sustained breach is re-detected on the next tick), the empty-window-vs-real-zero rule that makes lte a dead-man's switch, and the full {{alert.*}}/{{event.*}} templating context — is documented in references/alert-lifecycle.md. Read it before you rely on an alert for anything time-sensitive.

Worked recipes

references/examples/recipes.md — copy-paste starting points: error-rate pager, credit-budget guard, p95-latency watch, a dead-man's switch (count lte 0 — alert when a workflow stops running), model freshness / empty-model alerts, and a custom SQL-query alert.

Declarative alternative: defineAlert (CDK)

This skill is the imperative surface — one-off cargo-ai observability alert … calls. To manage an alert as code (in git, reproducible, deployed alongside the workflow it watches), use CDK's defineAlert builder instead — see ../cargo-cdk/SKILL.md and "Declarative vs imperative" in the router. Same scope/threshold/action model; different authoring mode.

Cost discipline

An alert's actions fire as real runs — if an action calls a paid connector action or an agent, every breach re-bills. A poorly-sized threshold on a tight cron can breach (and bill) every tick. Two safeguards:

• Preview to size the threshold so it fires on genuine anomalies, not normal variance.
• If an action node calls a credits-based provider action, treat it like any scheduled paid workflow: read that provider's playbook (esp. its Recurring use section) in ../cargo-gtm/provider-playbooks/, and apply the spend rules in ../cargo-gtm/references/cost-discipline.md. Prefer cheap notification actions (an agent that posts to Slack, a connector notification) over anything that fans out.

When the CLI surprises you

If a documented flag, scope field, or response shape doesn't match what you observe (a fix may have shipped, or the docs may have drifted), re-refresh the CLI and skills; if it still doesn't add up, file a report — it's read by the team:

bash

cargo-ai workspaceManagement report create \
  --title "<one-line summary>" \
  --description "<exact command(s), errorMessage verbatim, expected vs actual, UUIDs>"

Presenting results

Follow ../cargo/references/interaction.md: lead with the outcome ("alert created, will page the on-call agent when the CRM sync's error rate hits 10% over 30 min"), summarize an alert or its events as a compact table, never dump raw alert get / event list JSON into the conversation.