Exception Autocapture
Langfuse
Popularity
92%
Usage across websites
File Size
13.33 KB
Download size
Load Time
43.80ms
Network latency
Execution Time
2.04ms
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
Uptime History
Average response time over time
Version History Details
Detailed information for each version
Exposure & Risks
Security Score
Risk Assessment
Exposure Status
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
No cookies or local storage detected
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
Runtime Performance
Impact Assessment
Performance Observations
Performance-related findings from analysis
No performance observations recorded for this version
Global Variables
Variables added to the global scope
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
AI Insights & Alternatives
Description
A comprehensive overview of this resource
This script, `exception-autocapture.js`, is part of the Langfuse platform, which provides observability for LLM applications. When embedded on a webpage, it automatically intercepts and captures unhandled exceptions and errors that occur in the client-side JavaScript environment. It collects detailed context about these errors, including stack traces, user environment details, and potentially custom metadata configured by the application developer. This data is then transmitted to the Langfuse backend for analysis, allowing developers to monitor application health, debug issues, and gain insights into the performance and behavior of their LLM integrations. Its primary function is to provide real-time error reporting and diagnostics. The script works by hooking into global error events (e.g., `window.onerror`, unhandled promise rejections) and collecting relevant data before sending it via network requests to the Langfuse API. It operates passively in the background once loaded.
Key Features
Core functionalities and capabilities of this resource
- Error Monitoring
- Exception Handling
- Automatic Capture
- Client-side Diagnostics
- LLM Observability
- Real-time Reporting