searching-mlflow-traces
Searching MLflow Traces
Trace Data Structure
- TraceInfo:
trace_id,status(OK/ERROR),timestamp_ms,execution_time_ms,tags,metadata,assessments(human feedback, evaluation results) - Spans: Tree of operations with
name,type,attributes,start_time,end_time
Workflow
- Check CLI usage (required):
mlflow traces search --help - Build filter query using syntax below
- Execute search with appropriate flags
- Retrieve details for specific traces if needed
Step 1: Check CLI Usage
mlflow traces search --help
More from b-step62/skills
agent-evaluation
Use this when you need to IMPROVE or OPTIMIZE an existing LLM agent's performance - including improving tool selection accuracy, answer quality, reducing costs, or fixing issues where the agent gives wrong/incomplete responses. Evaluates agents systematically using MLflow evaluation with datasets, scorers, and tracing. Covers end-to-end evaluation workflow or individual components (tracing setup, dataset creation, scorer definition, evaluation execution).
9searching-mlflow-docs
Searches and retrieves MLflow documentation from the official docs site. Use when the user asks about MLflow features, APIs, integrations (LangGraph, LangChain, OpenAI, etc.), tracing, tracking, or requests to look up MLflow documentation. Triggers on "how do I use MLflow with X", "find MLflow docs for Y", "MLflow API for Z".
8querying-mlflow-metrics
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.
8instrumenting-with-mlflow-tracing
Instruments code with MLflow Tracing for observability. Triggers on questions about adding tracing, instrumenting agents/LLM apps, getting started with MLflow tracing, or tracing specific frameworks (LangGraph, LangChain, OpenAI, DSPy, CrewAI, AutoGen). Examples - "How do I add tracing?", "How to instrument my agent?", "How to trace my LangChain app?", "Getting started with MLflow tracing
7