sentry

sentry

Query errors, investigate exceptions, track issues, and monitor release health via the Sentry REST API. API usage is referenced through Context7 MCP; only company-specific rules are documented here.

Description

Applicable scenarios: production error investigation, issue triage, release health checks, crash analysis.

• Internal URL: https://sentry-us.example.com (self-hosted Sentry, API base path /api/0/)
• Organization slug: sentry

Variable	Description	Required
SENTRY_AUTH_TOKEN	Organization Token (Settings -> Organization Tokens -> Create)	Yes

Authentication: -H "Authorization: Bearer $SENTRY_AUTH_TOKEN"

The current Organization Token only has Release-related permissions by default. To query Issues/Events, create an Internal Integration in Developer Settings and enable Issue & Event: Read, Project: Read, Organization: Read.

Rules

Project Structure (7 projects)

Project slug	Product	Platform	Description
app-android	Main App	Android	Primary consumer app (most frequent releases)
app-ios	Main App	iOS	Primary consumer app
backend-service	Backend	Java	Backend service (shares releases with consumer-service)
consumer-service	Backend	Java	Backend consumer service
app2-android	Sub-brand App	Android	Sub-brand app
app2-ios	Sub-brand App	iOS	Sub-brand app
app3-ios	Security App	iOS	Security app

Release Version Naming Convention

Three formats, distinguished by platform:

Platform	Format	Example
Android	{major}.{minor}.{patch}({commit_hash})	2.85.0(b4f16c)
iOS	{bundle_id}@{version}+{build_number}	com.example.app@3.91.0+30713
Backend	{YYYYMMDD}@{COMMIT_HASH}	20260212@3A5AE26

iOS Bundle ID Reference:

Bundle ID	Product
com.example.app	Main App
com.example.guard	Guard App
com.example.app2	Sub-brand App
com.example.app3	Security App

Release Frequency

• app-android: Multiple builds per day (CI auto-reports)
• app-ios: Several times per week
• backend-service / consumer-service: Approximately daily deployments, version numbers include date (YYYYMMDD@HASH), both projects share the same release
• app2-*: Lower frequency

Hard Rules

1. Look before you act: Write operations (resolve / ignore / assign) must be preceded by reviewing the stack trace and impact scope
2. PII protection: Error context may contain user data; never share raw stack traces externally or expose user information

Common Workflows

1. Investigate production errors: Query unresolved issues for a project -> sort by time -> view latest event stack trace -> locate code line -> provide fix suggestions
2. Post-deployment health check: Query latest release -> check for new issues -> confirm Crash Free Rate -> continue monitoring for 30min
3. Batch triage: Filter by project + environment -> review stack traces one by one -> resolve / ignore / assign
4. Release tracking: /api/0/organizations/sentry/releases/?per_page=20&sort=date -> check latest releases

Examples

Bad

# Resolving without investigation
User: Help me handle the errors on Sentry
AI: I've resolved all unresolved issues for you.  <- Did not review stack traces and impact scope

# PII leakage
AI: The stack trace shows user email user@example.com triggered the exception...  <- Should not expose user information

Good

# Post-deployment check
User: Backend just released a new version, check if there are new errors on Sentry
AI: Querying latest Release...
  1. Found 20260303@A1B2C3D, linked to backend-service and consumer-service
  2. Checking issues associated with this Release...
  3. No new issues found, recommend continuing to monitor for 30min

# Client crash investigation
User: app-android latest version 2.85.0 has user reports of crashes
AI: Querying app-android project Release 2.85.0 related issues...
  1. Found latest build 2.85.0(b4f16c)
  2. Viewing unresolved issues, sorted by affected user count
  3. Viewing top issue stack trace -> locating code