Recent Weave Traces Analysis
Analysis of the most recent Weave traces in the mcp-tests project
Created on March 21|Last edited on March 21
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Recent Weave Traces Analysis
This report provides an overview of the 10 most recent Weave traces found in the wandb-applied-ai-team/mcp-tests project.
Time Range
The analyzed traces occurred on **March 12, 2025**, specifically between **14:19:36** and **14:19:44** UTC.
Operation Types Distribution
The traces represent various operations, with the following distribution:
| Operation | Count |
|-----------|-------|
| openai.chat.completions.create | 2 |
| AsyncOpenAILLMModel.create | 2 |
| WandBotCorrectnessEvaluator.aevaluate | 2 |
| WandbotCorrectnessScorer.score | 2 |
| Scorer.summarize | 1 |
| Evaluation.summarize | 1 |
Trace Analysis
Evaluation Results
The traces appear to be part of an evaluation pipeline for a support bot called "Wandbot". The system was evaluating the correctness of responses to user queries about Weights & Biases.
From the scoring metrics visible in the traces:
- 75 out of 98 answers were marked as correct (77.5% accuracy)
- The mean score was 2.65 out of 3.0
Model Usage
The evaluation was using:
- `gpt-4o-2024-11-20` for response synthesis
- `gpt-4-1106-preview` as the evaluation judge model
Cost Information
The traces contain information about OpenAI API usage costs:
- Token usage was tracked
- Both prompt and completion tokens were priced and monitored
- The evaluation included substantial prompt context (5000+ tokens) for each evaluation
Configuration Details
The evaluation was conducted with specific configurations:
- Evaluation strategy: `wandbot_gpt-4o-2024-11-20`
- Number of samples: 98
- Language: English
The evaluation pipeline used a sophisticated retrieval system:
- Embedding model: `text-embedding-3-small`
- Reranker: Cohere's `rerank-english-v2.0`
- MMR search with lambda multiplier of 0.5
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