---name: querying-mlflow-metricsdescription: 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.---

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

Latency percentiles by trace:

python scripts/fetch_metrics.py -s http://localhost:5000 -x 1 -m latency -a AVG,P95 -d trace_name

Error rate by status:

python scripts/fetch_metrics.py -s http://localhost:5000 -x 1 -m trace_count -a COUNT -d trace_status

Quality scores by evaluator (assessments):

python scripts/fetch_metrics.py -s http://localhost:5000 -x 1 -v ASSESSMENTS \
    -m assessment_value -a AVG,P50 -d assessment_name

Output: Average and median scores for each evaluator (e.g., correctness, relevance)

Assessment count by name:

python scripts/fetch_metrics.py -s http://localhost:5000 -x 1 -v ASSESSMENTS \
    -m assessment_count -a COUNT -d assessment_name

JSON output: Add -o json to any command.

Arguments

Arg	Required	Description
-s, --server	Yes	MLflow server URL
-x, --experiment-ids	Yes	Experiment IDs (comma-separated)
-m, --metric	Yes	trace_count, latency, input_tokens, output_tokens, total_tokens
-a, --aggregations	Yes	COUNT, SUM, AVG, MIN, MAX, P50, P95, P99
-d, --dimensions	No	Group by: trace_name, trace_status
-t, --time-interval	No	Bucket size in seconds (3600=hourly, 86400=daily)
--start-time	No	-24h, -7d, now, ISO 8601, or epoch ms
--end-time	No	Same formats as start-time
-o, --output	No	table (default) or json

For SPANS metrics (span_count, latency), add -v SPANS. For ASSESSMENTS metrics, add -v ASSESSMENTS.

See references/api_reference.md for filter syntax and full API details.