OpenAI Chat Traces Analysis
Analysis of recent OpenAI chat traces in the MCP tests project
Created on March 16|Last edited on March 16
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OpenAI Chat Traces Analysis
Overview
This report analyzes the OpenAI chat traces in the `wandb-applied-ai-team/mcp-tests` project. The analysis focuses on the 5 most recent traces, examining their timing, duration, and token usage patterns.
Select runs that logged OpenAI Chat Traces Visualizations to visualize data here.
Run set
38
Summary Statistics
- **Total OpenAI Chat Traces**: 1,155
- **Root Traces Count**: 0
Analysis of Recent Traces
The 5 most recent OpenAI chat traces were analyzed. These traces were all created on March 12, 2025.
Models Used
The traces used two different models:
- GPT-4-1106-preview: Used in 3 traces
- GPT-4o-2024-11-20: Used in 2 traces
Duration Analysis
The duration of these traces varies significantly:
- GPT-4-1106-preview traces: Generally shorter duration (3.4-3.5 seconds)
- GPT-4o-2024-11-20 traces: Longer duration (10.7-15.2 seconds)
Key Observations
1. **Model Performance**: GPT-4o-2024-11-20 traces take significantly longer to process compared to GPT-4-1106-preview, with an average duration 3-4 times longer.
2. **Token Usage Patterns**: GPT-4o-2024-11-20 traces tend to use more tokens on average, though the highest token count in this sample was from a GPT-4-1106-preview trace.
3. **Timing Patterns**: The traces appear to be part of different test sequences, with multiple traces running in parallel during certain time periods.
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