Overview

The LLM Debugger plugin provides advanced debugging capabilities for LLM interactions, helping developers identify and resolve issues in AI applications. Get detailed insights into requests, responses, token usage, and performance with comprehensive debugging tools.

Key Features

01

Request/Response Inspection

View detailed API calls with complete request and response data for thorough analysis.

02

Token Analysis

Token-by-token breakdown of usage with detailed analysis of input and output tokens.

03

Latency Tracking

Measure response times and identify performance bottlenecks with detailed timing data.

04

Error Analysis

Detailed error messages and stack traces for quick root cause identification.

05

Context Debugging

Inspect conversation context and prompt construction for context-related issues.

06

Comparison Tools

Compare different requests and responses to understand variations and behavior.

Use Cases

Response Debugging

Debug unexpected LLM responses by inspecting complete request and response details.

Performance Optimization

Optimize prompt performance by analyzing timing and token usage patterns.

Error Troubleshooting

Troubleshoot API errors with detailed error traces and diagnostic information.

Quality Analysis

Analyze response quality and identify issues affecting output consistency.

Parameter Tuning

Optimize request parameters by understanding their impact on responses.

Debug LLM Issues Efficiently

Get detailed insights to quickly identify and resolve AI application issues.

Request Access