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数据与研究

querying-mlflow-metrics

mlflow/skills

Fetches aggregated trace metrics (token usage, latency, trace counts, quality evaluations) from MLflow tracking servers. Triggers on requests to show metrics, analyze token usage, view LLM costs, check usage trends, or query trace statistics.

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安装命令

npx skills add https://github.com/mlflow/skills --skill querying-mlflow-metrics

SKILL.md

MLflow Metrics

Run scripts/fetch_metrics.py to query metrics from an MLflow tracking server.

Examples

Token usage summary:

python scripts/fetch_metrics.py -s http://localhost:5000 -x 1 -m total_tokens -a SUM,AVG

Output: AVG: 223.91 SUM: 7613

Hourly token trend (last 24h):

python scripts/fetch_metrics.py -s http://localhost:5000 -x 1 -m total_tokens -a SUM \
    -t 3600 --start-time="-24h" --end-time=now

Output: Time-bucketed token sums per hour

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