What are the monitoring and logging features in Dify? How to analyze and optimize application performance?

Dify provides comprehensive monitoring and logging features to help users understand application performance and optimize it. Core features include:

1. Application Monitoring

   • Call Statistics: Records API call counts, success rates, response times
   • Token Usage: Monitors input and output token consumption
   • Cost Statistics: Calculates usage costs based on model pricing
   • User Activity: Tracks active user counts and usage frequency

2. Conversation Logs

   • Complete conversation history records
   • User inputs and AI outputs
   • Context and parameter information
   • Timestamps and user identifiers

3. Performance Metrics

   • Average response time
   • P50/P95/P99 latency
   • Error rates and exception statistics
   • Concurrent request counts

4. Log Query

   • Filter by time range
   • Query by user ID
   • Query by application ID
   • Search by keywords

5. Data Export

   • Supports CSV format export
   • Supports JSON format export
   • Supports batch export

Optimization suggestions:

• Regularly analyze logs to identify performance bottlenecks
• Monitor token usage to control costs
• Pay attention to error logs and fix issues promptly
• Use A/B testing to optimize prompts

Candidates should understand Dify's monitoring and logging features and how to use this data to optimize application performance.