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Author: hassiebp

langfuse/batch_evaluation.py

@@ -847,7 +847,7 @@ async def run_async(
         evaluators: List[EvaluatorFunction],
         filter: Optional[str] = None,
         fetch_batch_size: int = 50,
-        fetch_trace_fields: Optional[str] = None,
+        fetch_trace_fields: Optional[str] = "io",
         max_items: Optional[int] = None,
         max_concurrency: int = 50,
         composite_evaluator: Optional[CompositeEvaluatorFunction] = None,
@@ -868,7 +868,7 @@ async def run_async(
             evaluators: List of evaluation functions to run on each item.
             filter: JSON filter string for querying items.
             fetch_batch_size: Number of items to fetch per API call.
-            fetch_trace_fields: Comma-separated list of fields to include when fetching traces. Available field groups: 'core' (always included), 'io' (input, output, metadata), 'scores', 'observations', 'metrics'. If not specified, all fields are returned. Example: 'core,scores,metrics'. Note: Excluded 'observations' or 'scores' fields return empty arrays; excluded 'metrics' returns -1 for 'totalCost' and 'latency'. Only relevant if scope is 'traces'.
+            fetch_trace_fields: Comma-separated list of fields to include when fetching traces. Available field groups: 'core' (always included), 'io' (input, output, metadata), 'scores', 'observations', 'metrics'. If not specified, all fields are returned. Example: 'core,scores,metrics'. Note: Excluded 'observations' or 'scores' fields return empty arrays; excluded 'metrics' returns -1 for 'totalCost' and 'latency'. Only relevant if scope is 'traces'. Default: 'io'
             max_items: Maximum number of items to process (None = all).
             max_concurrency: Maximum number of concurrent evaluations.
             composite_evaluator: Optional function to create composite scores.