Files
crewAI/docs/edge/en/enterprise/features/agent-control-plane/monitoring.mdx
Lucas Gomide a237ebabba feat: adopt directory-based docs versioning with Edge channel (#6202)
* feat: adopt directory-based docs versioning with Edge channel

Switch docs.crewai.com from navigation-only versioning (every version
selector entry rendered the same docs/<lang>/* source files) to
Mintlify's directory-based versioning so each version selector entry
renders its own snapshot. Add an "Edge" channel under docs/edge/<lang>/*
that always reflects main HEAD for unreleased work, eliminating
pre-release leakage onto frozen release labels. External links to
canonical /<lang>/* URLs are preserved via wildcard redirects that
always land on the current default version.

Layout:
- docs/edge/<lang>/*         rolling source (you edit here)
- docs/edge/enterprise-api.*.yaml
- docs/v<X.Y.Z>/<lang>/*     frozen, immutable snapshots
- docs/v<X.Y.Z>/enterprise-api.*.yaml
- docs/images/               shared, append-only
- docs/docs.json             nav + redirects

URLs follow the Mintlify-idiomatic shape: /edge/<lang>/<page> for
Edge, /v<X.Y.Z>/<lang>/<page> for every frozen snapshot. The wildcard
redirects /<lang>/:slug* -> /<default>/<lang>/:slug* keep stale links
working, and every freeze rewrites them (plus all per-section/per-page
redirects) so destinations always resolve to the current default
without depending on a second redirect hop.

Release flow integration (devtools release):
- New module crewai_devtools.docs_versioning.freeze() materialises
  docs/v<X.Y.Z>/ from docs/edge/, rewrites openapi: refs inside the
  snapshot, inserts the version into every language block in
  docs.json, and refreshes all redirect destinations.
- _update_docs_and_create_pr() in cli.py now calls that freeze during
  Phase 2 of devtools release. Edge changelogs are updated first (so
  the snapshot freeze picks them up), then the snapshot is staged
  alongside docs.json, branched as docs/freeze-v<X.Y.Z>, and the PR
  is titled [docs-freeze] docs: snapshot and changelog for v<X.Y.Z>
  — the title prefix the new CI guard reads.
- The PR still gates tag, GitHub release, PyPI publish, and the
  enterprise release as before; no new PRs are added.
- Pre-releases (1.X.YaN, 1.X.YbN, ...) skip the snapshot — they ride
  Edge — and the docs PR title omits the [docs-freeze] prefix.
- docs_check (AI-generated docs scaffolding) writes to
  docs/edge/<lang>/* so newly-generated unreleased docs land in Edge
  and never accidentally touch a frozen snapshot.

Migration scripts (one-shot):
- scripts/docs/freeze_historical_versions.py reconstructs all 16
  historical snapshots (v1.10.0 .. v1.14.7) from git tags via
  git archive | tar, rewriting openapi: MDX refs so each snapshot
  reads its own enterprise-api YAML rather than the live one.
- scripts/docs/prefix_version_paths.py one-shot-migrates docs.json:
  rewrites every page path in 16 versioned blocks to point under
  docs/v<X.Y.Z>/, inserts a new Edge entry per language, tags
  v1.14.7 as Latest (default), prunes pages whose target file
  doesn't exist in the snapshot (e.g. docs/ar/ didn't exist before
  v1.12.0), and writes the wildcard + per-section redirects.
- scripts/docs/freeze_current_edge.py is now a thin CLI wrapper
  around docs_versioning.freeze for manual one-off freezes (e.g.
  retroactively snapshotting a forgotten release).

CI guards (.github/workflows/docs-snapshots.yml):
- Frozen snapshots under docs/v[0-9]*/ are immutable; only PRs whose
  title contains [docs-freeze] (i.e. release-cut PRs generated by
  devtools release or the manual wrapper) may modify them.
- Images under docs/images/ are append-only since snapshots share a
  single image directory. Deleting or renaming an image breaks every
  historical snapshot that still references it.

Restored docs/images/crewai-otel-export.png from PR #3673; it was
deleted in PR #4908 but v1.10.0 / v1.10.1 snapshots still reference
it. Restoring instead of editing the snapshots preserves historical
rendering fidelity and validates the new append-only rule
retroactively.

Tests:
- lib/devtools/tests/test_docs_versioning.py covers the freeze: file
  copy, openapi rewrite, version insertion, default demotion, redirect
  upserts, per-section redirect rewriting, idempotency, and invalid
  inputs.

Verified locally with mintlify broken-links: 0 broken links across
the full site (Edge + 16 frozen versions, 4 locales).

AGENTS.md (repo root) is the contributor guide for the new model;
RELEASING.md is the release-cut runbook; README's Contribution
section links to both.

Co-authored-by: Cursor <cursoragent@cursor.com>

* style: resolve linter issues

---------

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-06-17 11:56:59 -04:00

113 lines
5.7 KiB
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---
title: "Watch your Automations"
description: "Watch fleet health, LLM consumption, and per-automation behavior from the Automations tab."
sidebarTitle: "Monitoring"
icon: "gauge"
mode: "wide"
---
<Info>
**ACP (Beta) Docs Navigation**
- [Overview](/en/enterprise/features/agent-control-plane/overview)
- **Monitoring** *(you are here)*
- [Rules](/en/enterprise/features/agent-control-plane/rules)
</Info>
## Overview
The **Automations** tab is the read-only operations view of the [Agent Control Plane](/en/enterprise/features/agent-control-plane/overview). It combines two metric cards, an interactive sankey, and two sub-tables — **Automations** and **Consumption** — that you can search, filter, and sort.
<Frame>
![Agent Control Plane overview](/images/enterprise/acp-overview-automations-sankey.png)
</Frame>
All charts and tables respect the **Last 24 hours / Last Week / Last 30 days** selector at the top right. Deltas compare the selected window against the previous one of the same length.
<Note>
Rows only show data for deployments on **crewAI v1.13 or higher** — older deployments appear in the *"We've detected N other automations that we can't display"* banner under the sankey and contribute zero metrics until they're updated and re-deployed. See [Overview — Requirements](/en/enterprise/features/agent-control-plane/overview#requirements).
</Note>
## Dashboard
The header of the page has two metric cards and an interactive sankey. Clicking either card switches the sankey between two modes:
- **Health mode** — `Total Automations → status buckets (Critical / Warning / Healthy)`. Click a bucket to filter the Automations table to just those deployments.
- **Consumption mode** — `Model Providers → Automations → Total Cost`. Click a provider to filter the Consumption table to that provider.
| Card | What it shows |
|------|---------------|
| **Automations** | `active` automations (and total count), total `errors` in the window, currently `active executions` (and total in the window), with a delta vs the previous period. |
| **Consumption** | Total `cost` and `tokens used`, with a cost delta vs the previous period. |
<Frame>
![Overview with consumption sankey](/images/enterprise/acp-overview-consumption-sankey.png)
</Frame>
## Automations table
The **Automations** sub-tab is the per-deployment breakdown of fleet health. Each row is one deployed crew or flow.
<Frame>
![Automations table with health status breakdown](/images/enterprise/acp-automations-table.png)
</Frame>
| Column | What it shows |
|--------|---------------|
| **Automation** | Deployment name and any tags assigned to it (e.g. `production`, `financial`). |
| **Last execution** | Time since the most recent run. |
| **Health Status Breakdown** | Stacked bar of `Critical` / `Warning` / `Healthy` percentages for executions in the window. |
| **Executions with Errors** | Total failed executions in the window. |
| **PII detection applied** | `Yes` if a per-deployment PII config or a matching [PII rule](/en/enterprise/features/agent-control-plane/rules) is active. |
| **Executions** | Total executions in the window. |
| **Last updated** | When the deployment was last re-deployed. |
| **Crew Version** | The `crewai` version reported by the deployment. An info icon next to versions below `1.13` flags rows that can't contribute metrics. |
Search by name, filter by `Status` (`Healthy` / `Warning` / `Critical`), and sort by any column header. Click a deployment name to open the **Automation panel** (see below).
## Consumption table
The **Consumption** sub-tab is the per-deployment breakdown of LLM spend and token usage.
<Frame>
![Consumption table broken down by LLM provider](/images/enterprise/acp-consumption-table.png)
</Frame>
| Column | What it shows |
|--------|---------------|
| **Automation** | Deployment name. |
| **Last execution** | Time since the most recent run. |
| **Tokens used** | One row per LLM provider used by this automation, with the delta vs the previous period. |
| **Cost** | Cost per LLM provider, with the delta vs the previous period. |
| **Total cost** | Sum across all providers, with the delta. |
| **Executions** | Total executions in the window. |
| **Last updated** | When the deployment was last re-deployed. |
| **Crew Version** | The `crewai` version reported by the deployment. |
Filter by **LLM provider** and sort by `Cost`, `Executions`, or `Last run`.
<Info>
**Empty cells (`—` or `$0.00`) usually mean the deployment is below crewAI v1.13.** In the screenshot above, *Automation F* (`1.7.0`) and *Automation I* (`1.12.2`) show blanks for tokens and cost — their executions still run, but they don't emit the provider-level telemetry that powers this table. Update and re-deploy these crews to start collecting consumption data.
</Info>
## Related
<CardGroup cols={2}>
<Card title="Agent Control Plane — Overview" icon="book-open" href="/en/enterprise/features/agent-control-plane/overview">
What ACP is, requirements, plan tiers, and RBAC.
</Card>
<Card title="Agent Control Plane — Rules" icon="shield-check" href="/en/enterprise/features/agent-control-plane/rules">
Apply organization-wide PII Redaction rules across many automations.
</Card>
<Card title="Traces" icon="timeline" href="/en/enterprise/features/traces">
Drill into a single execution to see agent reasoning, tool calls, and token usage.
</Card>
<Card title="Deploy to AMP" icon="rocket" href="/en/enterprise/guides/deploy-to-amp">
Deploy a crew on a crewAI version that supports the Agent Control Plane.
</Card>
</CardGroup>
<Card title="Need Help?" icon="headset" href="mailto:support@crewai.com">
Contact our support team for help interpreting metrics in the Agent Control Plane.
</Card>