OpenAI Chat Traces Analysis - MCP Tests Project
Analysis of OpenAI chat completion traces in the mcp-tests project showing the 5 most recent traces over time
Created on September 13|Last edited on September 13
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OpenAI Chat Traces Analysis
Summary
- **Total OpenAI Chat Traces**: 5
- **Time Range**: March 12, 2025 (14:18:52 - 14:19:43 UTC)
- **Duration**: ~51 seconds
- **Success Rate**: 100% (5/5 successful)
Trace Details
Models Used
- **gpt-4-1106-preview**: 3 traces
- **gpt-4o-2024-11-20**: 2 traces
Performance Metrics
- **Average Latency**: 7.25 seconds
- **Min Latency**: 3.42 seconds
- **Max Latency**: 15.18 seconds
Token Usage
- **Total Tokens**: 28,323 tokens across all traces
- **Prompt Tokens**: 28,002 tokens
- **Completion Tokens**: 1,367 tokens
Cost Analysis
- **Total Cost**: ~$0.15 USD
- **Average Cost per Trace**: ~$0.03 USD
Key Observations
1. **High Latency Variance**: Traces show significant latency differences (3.4s to 15.2s), likely due to different models and request complexity.
2. **Model Distribution**: Mix of GPT-4 variants with gpt-4-1106-preview being more frequently used.
3. **Concentrated Activity**: All traces occurred within a 1-minute window, suggesting batch processing or rapid testing.
4. **Consistent Success**: 100% success rate indicates stable API connectivity and proper request formatting.
Recommendations
- Monitor latency patterns for performance optimization opportunities
- Consider caching strategies for similar requests
- Track cost accumulation for budget management
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