Sentry
When developers, QA teams, or internal stakeholders ask about application errors, your AI agent pulls live issue data from Sentry. Error status, stack traces, affected releases, and resolution timelines are answered instantly without switching dashboards.
Your AI agent taps into Sentry's monitoring data to surface error details, project health, and release status in real-time conversations.
Sentry
See how engineering teams use AI agents to get Sentry answers faster, reduce context-switching, and keep releases on track without manual dashboard checks.
A product manager asks 'Is the checkout error from yesterday fixed?' Your AI Agent queries Sentry for the specific issue by title, checks its resolution status and the release that addressed it, and confirms the fix with the deployment timestamp. The PM gets a definitive answer without pinging an engineer, and the team stays focused on building.
After shipping v3.2, the engineering lead types 'How is the new release performing?' Your AI Agent pulls crash-free session rates, new error counts, and regression alerts from Sentry for that specific release version. The lead gets a health report in seconds instead of manually checking dashboards, and can escalate or celebrate immediately.
The on-call engineer gets paged at 3 AM and asks the agent 'What is happening in production right now?' Your AI Agent fetches the latest unresolved issues from Sentry sorted by event frequency, surfaces the top offenders with stack trace summaries, and identifies which services are affected. Triage starts immediately instead of waiting for the dashboard to load.
Sentry
FAQs
The agent uses Sentry's REST API with your authentication token to query issues, events, and project data in real time. When someone asks about a bug, the agent searches by issue ID, title, or project slug to find matching records. All data is fetched live from your Sentry organization.
Yes. The agent can filter issues and events by environment using Sentry's environment parameters. Ask about staging-specific errors or compare error rates across environments, and the agent scopes the query appropriately to give you targeted results.
The agent needs a Sentry auth token with read access to projects, issues, events, releases, and organizations. You can create a scoped token in your Sentry settings under API > Auth Tokens. Write access is only needed if you want the agent to resolve or assign issues.
No. The agent queries Sentry in real time during conversations. Stack traces, error messages, and user data are fetched live and used only to generate the response. Tars does not maintain a separate database of your monitoring data.
Yes. The agent can access your full Sentry issue history. Whether an error was logged yesterday or six months ago, if it exists in your Sentry organization, the agent can retrieve it and share the details.
Sentry's Slack integration sends notifications. Tars AI Agent has actual conversations, answering follow-up questions about error context, comparing releases, and pulling data from other connected tools like Jira or GitHub. It responds to questions instead of just pushing alerts.
If your token includes write permissions, the agent can bulk-mutate issues, including resolving, ignoring, or assigning them. You control the scope of permissions to match your team's comfort level with automated actions on error tracking data.
The agent handles this gracefully. If no matching project is found, it informs the user, suggests checking the project slug for typos, and offers to list all available projects in the organization so they can find the correct one.
Don't limit your AI Agent to basic conversations. Watch how to configure and add powerful tools making your agent smarter and more functional.
Privacy & Security
At Tars, we take privacy and security very seriously. We are compliant with GDPR, ISO, SOC 2, and HIPAA.
Email - sales@hellotars.com
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