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Sentry Integration

Connect Sentry to give Annie visibility into application errors, releases, and performance regressions. During an incident, Annie can correlate Sentry issues with your infrastructure changes and surface the events that matter.

Setup Guide

  1. Go to the Sentry integration page
  2. Click New token to add your Sentry user auth token
  3. Fill in the form fields below and click Save Sentry token

1. Display name

A human-readable label for this token (e.g. Production Sentry). Used only to identify the credential in the Anyshift UI.

2. Auth token

A Sentry user auth token. Generate one from your Sentry account under User Settings > Auth Tokens > Create New Token.

3. Host (optional)

Leave this field empty to use Sentry SaaS (sentry.io). For self-hosted or organization-scoped instances, enter the bare hostname — for example anyshift.sentry.io. Do not include https://

Required Permissions

The auth token needs the following scopes for Annie to access your Sentry data:
  • org:read — Read organization information
  • project:read — List and read projects
  • event:read — Read issues and events. Also required by the webhook below. When a regression arrives, Anyshift uses this same token to read the issue’s latest event for its release version, commit SHA, and trace id. Without event:read the regression is still recorded, but those fields stay empty and Annie cannot tie it back to the release, commit, and author that caused it.

Sentry Webhook (real-time event ingestion)

The auth token above lets Annie read Sentry on demand. The webhook does the opposite: it lets Sentry push error regressions to Anyshift in real time, so Annie can tie each returning error back to the release and commit that caused it.
The webhook needs the auth token too. The webhook delivery carries the issue, but not its release or commit. Anyshift fills those in using the auth token from step 2 (which must include event:read). So configure the auth token first; a webhook with no event:read token records regressions without the release, commit, and author link.
The webhook is delivered by a Sentry internal integration that you create inside your own Sentry organization and point at a per-project URL we give you. The integration signs each delivery with its Client Secret, which you submit to Anyshift so we can verify it. Each Sentry org provides its own secret; we store it encrypted and use it only to verify incoming signatures.
  1. On the Sentry integration page, find the Webhook section and copy the webhook URL shown there — it is unique to your project.
  2. In Sentry, go to Settings → Developer Settings → Custom Integrations → New Internal Integration.
  3. Name it (e.g. Anyshift). Under Permissions, set Issue & Event to Read.
  4. Under Webhooks, enable the issue resource and set the Webhook URL to the URL you copied in step 1.
  5. Save the integration — Sentry generates a Client Secret. Copy it.
  6. Back in Anyshift’s Webhook section, paste the Client Secret and click Save. The section will show as configured.

What gets recorded

Only regressions are recorded — a Sentry issue that was previously resolved and has come back (unresolved). New or ongoing errors are not ingested. When a regression arrives, Anyshift stores a durable record (issue id, title, error type, level, platform, first-seen, environment) and enriches it with the immutable release version, commit SHA, and a sample trace id — so Annie can pivot straight into the offending change and into your APM/logs. Volatile fields (current event count, affected users, status, assignee) are read live via the Sentry API rather than stored.

How It Works

Once connected, Annie’s AI agent can:
  • Investigate errors — Pull issue details, stack traces, and event payloads
  • Correlate with releases — Tie errors to the release that introduced them
  • Surface performance regressions — Identify performance issues that coincide with infrastructure or deploy changes
  • Link to your resource graph — Map Sentry projects and services to the cloud resources they run on
Anyshift + Sentry = faster root cause on application-layer incidents.