Honeybadger

Error reports and deployment tracking through your AI agent, powered by Honeybadger

Your developers ask about production errors, deployment status, or cron job health. Your AI agent sends exception reports, logs deployments, and pings check-ins through Honeybadger's API, keeping your team informed without leaving their workflow.

Chosen by 800+ global brands across industries

Application health monitoring, conversational

Your agent reports errors, tracks releases, monitors cron jobs, and uploads source maps through Honeybadger, making DevOps workflows part of every conversation.

Honeybadger

Use Cases

DevOps visibility, no dashboard required

Real scenarios where development teams use AI agents to report errors, track releases, and monitor background jobs through Honeybadger during everyday conversations.

Automated Deployment Tracking Across Environments

A release engineer pushes to production and tells the agent. Your AI Agent calls Honeybadger's deployment reporting endpoint with the git revision, environment name, and repository URL. The deployment appears on Honeybadger's timeline. When a spike in errors follows, the team instantly correlates it with the release. No one had to remember to tag the deploy manually.

Cron Job Monitoring That Catches Silent Failures

A nightly database backup job should run at 2 AM. The agent is configured to send a Honeybadger check-in ping when the job completes. One night, the job silently fails. Honeybadger detects the missing check-in and alerts the on-call engineer before the business day starts. The team fixes the issue before any data is at risk.

Exception Reports with Full Context from Staging

A QA engineer reproduces a bug in staging and wants it logged with complete details. They describe the error to the agent, which sends a Honeybadger exception notice including the stack trace, HTTP request context, server environment, and breadcrumb trail. The backend developer receives a fully contextualized error report. Debugging starts immediately without asking QA to repeat steps.

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FAQs

Frequently Asked Questions

How does the AI agent report exceptions to Honeybadger?

The agent sends a POST request to Honeybadger's notice API with error class, message, backtrace, request context (URL, params, session), and server details (hostname, environment). Honeybadger processes it like any other exception from your app, grouping it with similar errors and sending notifications.

Can the agent track deployments for error correlation?

Yes. The agent calls Honeybadger's deployment reporting endpoint with the environment, git revision, repository URL, and local username. This creates a deployment marker on your project timeline, allowing Honeybadger to show which deploy introduced new errors.

What API key does Tars need from Honeybadger?

Tars uses your Honeybadger project API key, found on the project settings page in your Honeybadger dashboard. This key scopes all API calls to a specific project. You can use separate keys for different projects or environments.

Does Tars store my error data or stack traces?

No. Tars sends exception data directly to Honeybadger's API and does not retain copies. Stack traces, request context, and server details are transmitted to Honeybadger in real time and stored only in your Honeybadger account.

Can the agent monitor scheduled tasks using check-ins?

Yes. The agent pings Honeybadger's check-in endpoint by ID or by project API key plus slug. If a scheduled task misses its expected check-in window, Honeybadger sends an alert. This is ideal for monitoring cron jobs, data syncs, and recurring background tasks.

How is this different from Honeybadger's native SDK integration?

The native SDK catches exceptions automatically in your application code. The Tars integration lets your team report exceptions, deployments, and custom events conversationally from outside the application, covering manual QA reports, deployment notifications, and ad-hoc monitoring tasks.

Can the agent upload JavaScript source maps for better stack traces?

Yes. The agent can upload both minified JavaScript files and their corresponding source maps to Honeybadger. It uses the managed S3 upload for files and the source map endpoint for linking them. This enables readable stack traces for production errors in minified code.

What happens if the Honeybadger API rejects an exception report?

The agent catches the error response and notifies the user with the specific issue, such as an invalid API key, missing required fields, or payload size limits (events must be under 100 KB each, 5 MB total). It suggests corrections so the team can fix and retry.

How to add Tools to your AI Agent

Supercharge your AI Agent with Tool Integrations

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

We’ll never let you lose sleep over privacy and security concerns

At Tars, we take privacy and security very seriously. We are compliant with GDPR, ISO, SOC 2, and HIPAA.

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