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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

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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