back
loading skill details...
Analyzes an MLflow session — a sequence of traces from a multi-turn chat conversation or interaction. Use when the user asks to debug a chat conversation,…
Analyzing an MLflow Chat Session What is a Session? A session groups multiple traces that belong to the same chat conversation or user interaction. Each trace in the session represents one turn: the user's input and the system's response. Traces within a session are linked by a shared session ID stored in trace metadata. The session ID is stored in trace metadata under the key mlflow.trace.session. This key contains dots, which affects filter syntax (see below). All traces sharing the same value for this key belong to the same session. Reconstructing the Conversation Reconstructing a session's conversation is a multi-step process: discover the input/output schema from the first trace, extract those fields efficiently across all session traces, then inspect specific turns as needed. Do NOT fetch full traces for every turn — use --extract-fields on the search command instead. Step 1: Discover the schema. First, find a trace ID from the session, then fetch its full JSON to inspect the schema:
don't have the plugin yet? install it then click "run inline in claude" again.