Sentry Voice AI Integration — Voice Error Context | (2026)

Enrich Sentry errors with voice conversation context. Understand visitor actions and intent when errors occurred.

Overview

Enrich Sentry error reports with voice conversation context. Understand what visitors were asking about and doing when errors occurred for faster debugging.

Features

• Error Context Enrichment: Sentry errors include voice conversation context — what the visitor was asking, their intent, and last actions.
• Voice Breadcrumbs: Voice events appear as Sentry breadcrumbs for error timeline reconstruction and root cause analysis.
• User Context: Voice conversation visitor data enriches Sentry user context for better error grouping and impact assessment.
• Tag Enrichment: Add voice-specific tags to Sentry errors — conversation active, language, intent — for filtering and search.
• Voice-Related Errors: Filter Sentry errors to show only those that occurred during active voice conversations for focused debugging.
• Real-Time Context: Voice context is attached to errors in real time as they occur during active conversations.

How It Works

• Connect Your Sentry Project: Enter your Sentry DSN and configure the AnveVoice integration for error context enrichment.
• Configure Context Data: Select which voice data adds context to Sentry — conversation state, visitor intent, last navigation action.
• Set Breadcrumb Rules: Configure how voice events appear as Sentry breadcrumbs for error timeline reconstruction.
• Activate & Verify: Turn on the integration and verify voice context appears on Sentry error events.

Summary

• Enrich Sentry errors with voice conversation context. Understand visitor actions and intent when errors occurred.
• Error Context Enrichment
• Adding AnveVoice to Sentry takes under 5 minutes and gives your debugging team voice conversation context on every error.

Frequently Asked Questions

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