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Exception Autocapture

Langfuse

Error Tracking
monitor Exposure
vef56cf62
A JavaScript library for automatically capturing and reporting runtime exceptions and errors within web applications.
10M+ sites
Updated 9/10/2026
https://ph.langfuse.com/static/1.428.7/exception-autocapture.js
Exposure Score
92

Popularity

92%

Usage across websites

File Size

13.34 KB

Download size

Load Time

31.78ms

Network latency

Execution Time

1.65ms

Runtime performance

Version Telemetry

Version Timeline

Visual representation of each version's active period

Metrics Over Time

Security score, performance score, and file size trends

0255075100vef56Normalized ScoreVersion
Security Score
Performance Score
File Size (KB)

Uptime History

Average response time over time

Version History Details

Detailed information for each version

vef56cf62Latest
Span: 2 days
Score: 85
Size: 13.34 KB

Exposure & Risks

Security Score

Overall Security85 / 100
Exposure Levelmonitor

Risk Assessment

Critical Risks0
Total Observations0

Exposure Status

Monitor
Moderate behavioral concerns, review and mitigation advised.

Behavioral Concerns

No Known Security Risks

Our telemetry scan did not detect any immediate behavioral security risks for this resource.

Security Observations

Security-related findings from analysis

No security observations recorded for this version

Privacy & Data Flow

Data Collection

Cookies and local storage used by this script

Cookies

_lf_session_idSession
Identifies a user's session for correlating events and errors related to LLM interactions and application usage.

Local Storage

lf_user_id
Stores a unique identifier for the user to maintain session and user context across visits for error reporting.

Third-party Connections

External domains this script connects to

No external connections detected

Permissions Required

Browser permissions and capabilities used

No special browser permissions required.

Privacy Observations

Privacy-related findings from analysis

No privacy observations recorded for this version

Technical & Performance Analytics

Load Performance

File Size13.34 KB
Load Time31.78ms

Runtime Performance

Execution Time1.65ms
Network Requests0

Impact Assessment

Good
Minimal performance impact on page load

Performance Observations

Performance-related findings from analysis

No performance observations recorded for this version

Global Variables

Variables added to the global scope

posthogErrorWrappingFunctionsextendPostHogWithExceptionAutoCaptureextendPostHogWithExceptionAutocapture

Event Listeners

Events this script listens for

No event listeners detected

Browser API Access

APIs and browser features accessed by this script

No API access detected

Technical Details

Compressed
Yes
CDN Delivery
No
Total Views
3
Is Mirror
No
Network Requests
0
Resource Hash
ef56cf622bb93c35b114f079d4f3b74f0e238b03ea71ebcdc8c8be71a555ad7b

AI Insights & Alternatives

Description

A comprehensive overview of this resource

This script, `exception-autocapture.js`, is part of the Langfuse client-side SDK. Its primary function is to automatically detect and capture unhandled JavaScript errors and exceptions that occur during a user's interaction with a web application. Once an error is detected, the script collects relevant contextual information, such as stack traces, user agent details, URL, and potentially other application-specific data. This information is then transmitted to the Langfuse backend for logging, analysis, and monitoring by developers. The script operates passively in the background, ensuring that critical errors are reported without requiring explicit instrumentation for every potential failure point. By centralizing error reporting, `exception-autocapture.js` helps developers quickly identify, diagnose, and resolve issues, improving the overall stability and user experience of the web application. It integrates into the host page's error handling mechanisms, typically by hooking into `window.onerror` or unhandled promise rejections.

Key Features

Core functionalities and capabilities of this resource

  • Automated Error Capture
  • Stack Trace Collection
  • Contextual Data Reporting
  • Performance Monitoring
  • Real-time Alerts

Alternatives

Similar libraries you might consider

Documentation & Resources

Official Documentation