lint

Signed-off-by: Peter Jausovec <[email protected]>

Author: peterj

src/agentevals/api/routes.py

@@ -114,6 +114,7 @@ async def _maybe_persist_evaluate_run(
 
 _MAX_JSON_BODY_BYTES = 50 * 1024 * 1024  # 50 MB (multipart endpoints allow 10 MB per file)
 
+
 @router.get("/health", response_model=StandardResponse[HealthData])
 async def health_check():
     return StandardResponse(data=HealthData(status="ok", version=__version__))

src/agentevals/cli.py

@@ -183,14 +183,16 @@ def run(
             )
             config = merge_configs(file_config, cli_config)
         elif judge_model is not None or threshold is not None or trajectory_match_type is not None:
-            config = config.model_copy(update={
-                "evaluators": _apply_builtin_overrides(
-                    config.evaluators,
-                    judge_model=judge_model,
-                    threshold=threshold,
-                    trajectory_match_type=trajectory_match_type,
-                )
-            })
+            config = config.model_copy(
+                update={
+                    "evaluators": _apply_builtin_overrides(
+                        config.evaluators,
+                        judge_model=judge_model,
+                        threshold=threshold,
+                        trajectory_match_type=trajectory_match_type,
+                    )
+                }
+            )
         if trace_files:
             config.trace_files = list(trace_files)
         if eval_set is not None:

src/agentevals/config.py

@@ -157,11 +157,11 @@ class EvalParams(BaseModel):
     def _validate_evaluators(cls, v: list[EvaluatorDef]) -> list[EvaluatorDef]:
         if not v:
             raise ValueError("At least one evaluator is required.")
-        duplicate_names = sorted(name for name, count in Counter(evaluator.name for evaluator in v).items() if count > 1)
+        duplicate_names = sorted(
+            name for name, count in Counter(evaluator.name for evaluator in v).items() if count > 1
+        )
         if duplicate_names:
-            raise ValueError(
-                "Evaluator names must be globally unique. Duplicate names: " + ", ".join(duplicate_names)
-            )
+            raise ValueError("Evaluator names must be globally unique. Duplicate names: " + ", ".join(duplicate_names))
         return v
 
     max_concurrent_traces: int = Field(

src/agentevals/eval_config_loader.py

@@ -25,8 +25,7 @@
 
 
 def _parse_evaluator_entry(entry: dict[str, Any]) -> EvaluatorDef:
-    """Parse a single evaluator entry from the YAML config.
-    """
+    """Parse a single evaluator entry from the YAML config."""
     if not isinstance(entry, dict):
         raise ValueError(
             f"Each evaluator entry must be a mapping with 'name' and 'type' fields, got {type(entry).__name__}: {entry!r}"

src/agentevals/mcp_server.py

@@ -299,13 +299,15 @@ async def evaluate_traces(
                 )
                 config = merge_configs(file_config, cli_config)
             elif judge_model is not None or threshold is not None:
-                config = config.model_copy(update={
-                    "evaluators": _apply_builtin_overrides(
-                        config.evaluators,
-                        judge_model=judge_model,
-                        threshold=threshold,
-                    )
-                })
+                config = config.model_copy(
+                    update={
+                        "evaluators": _apply_builtin_overrides(
+                            config.evaluators,
+                            judge_model=judge_model,
+                            threshold=threshold,
+                        )
+                    }
+                )
             if trace_files:
                 config.trace_files = trace_files
             if trace_format is not None: