Before you start
To enable Patterns, you need:- Project traces. Patterns analyzes your project logs. If your project has no logs, log traces first.
- Model access. Patterns uses Loop’s models. Built-in models require no provider setup and use your organization’s monthly model credits. On Starter, they require an organization owner with a work email address or a payment method on file. To use your own key or continue after credits run out, configure an OpenAI-compatible AI provider.
- Permission to create project automations. Members of the Owners and Engineers permission groups have this permission by default.
- The Loop runtime on self-hosted AWS deployments. Runs fail until you enable the Loop runtime in your data plane.
How Patterns selects a provider
How Patterns selects a provider
- When built-in models are available, Patterns selects them automatically. On Enterprise, you can choose a compatible configured provider instead.
- When built-in models are unavailable, Patterns selects your only compatible configured provider automatically. If you have several, you choose one.
Set up Slack notifications (optional)
Set up Slack notifications (optional)
To receive notifications, connect a Slack workspace, then choose a workspace and channel during Patterns setup. You can also add a notification destination after setup.
Enable pattern discovery
- Go to Patterns. The Get started with Patterns panel guides you through setup.
- If the panel shows Add provider, configure an organization-level AI provider before continuing. See Common issues for provider and model credit requirements.
- If the panel shows Continue, click it to open Configure Patterns. Choose a provider under Select a model provider if that field appears. If a Slack workspace is connected, you can also choose a workspace and channel for notifications.
- Click Enable Patterns. If no provider choice or Slack configuration is needed, this button appears directly on the initial panel.
- Schedule: Daily at 9:00 AM in your default timezone.
- Query range: The last 30 days.
- Permissions: Create and update patterns.
- Instruction: A default prompt telling Loop what to look for. You can edit it.
If a project has no patterns yet and no run is in progress, click Analyze patterns to queue another run without waiting for the schedule.
Tune the automation
You can change the automation’s instruction, schedule, model, query range, and destinations. To edit it, either click Settings on the Patterns page and select the automation, or go to Settings > Automations. Start with these fields:- Frequency. How often the run happens. A project with steady traffic rarely needs more than daily.
- Default query range. Each run inspects the full range, including traces inspected by previous runs. A wider range costs more.
- Instruction. What Loop should look at, how deeply, and when to stop.
- Destinations. Where run digests are delivered.
Keep the instruction framed around finding or updating patterns, even when you narrow the automation to one concern. An instruction that asks for a summary produces a summary, not a pattern record.
Add a focused automation
Add an automation when a concern needs its own scope or schedule, such as tool-call errors, cost growth, latency for specific customers, or quality regressions. All automations write to the same patterns list. Select Settings > New automation on the Patterns page. Review the prefilled automation, adjust its settings, and click Create.Common issues
Setup asks you to add a provider
Setup asks you to add a provider
When neither a compatible organization-level AI provider nor usable built-in models are available, the setup panel shows Add provider instead of Enable Patterns. Click Add provider to configure a provider without leaving setup.
- Built-in models are disabled. To use them instead of your own provider, enable them in Settings > AI providers. Your organization must meet the built-in model requirements.
- Your model credits are exhausted. Add your own provider key with Add provider, or select Upgrade to raise your plan’s limits. See model credits for how usage is counted.
An automation error appears on the Patterns page
An automation error appears on the Patterns page
If the latest run of an enabled Patterns automation fails, the page header shows Last run failed:
- Click it to see automation names and error messages.
- Select an entry to open the failed run in Loop in a new tab.
A run finished but recorded nothing
A run finished but recorded nothing
Loop records a pattern only when it can attach supporting evidence, so a quiet run is a normal outcome rather than a failure.Open the automation’s Past runs tab and select the run to read its transcript. Select Continue to fork an editable thread and ask Loop why it recorded nothing.If runs are consistently empty, the query range or the instruction is usually too narrow.
Patterns aren't notifying Slack
Patterns aren't notifying Slack
Destinations belong to automation runs. Patterns that Loop records during an interactive chat appear in the list but do not trigger Slack or webhook destinations.Confirm the destination is configured on the automation itself, under Destinations in the configuration panel, and that the Slack workspace is still connected.
The page asks you to upgrade your data plane
The page asks you to upgrade your data plane
Patterns requires data plane v2.13 or later. To upgrade, see the routine upgrade guide.
Next steps
- Review and act on patterns once the first run finishes.
- Run Loop on a schedule to configure destinations, write permissions, and past runs in depth.
- Set up alerts for conditions you already know how to detect.
- Active observability for coding agents to find recurring problems in coding-agent sessions with Topics facets and a Loop automation.