chore: import upstream snapshot with attribution

examples/flows/evaluation/eval-classification-accuracy-maf/workflow.py

@@ -0,0 +1,21 @@
+from dataclasses import dataclass
+from typing_extensions import Never
+from agent_framework import Executor, WorkflowBuilder, WorkflowContext, handler
+
+
+@dataclass
+class EvalInput:
+    groundtruth: str
+    prediction: str
+
+
+class GradeExecutor(Executor):
+    @handler
+    async def grade(self, input: EvalInput, ctx: WorkflowContext[Never, str]) -> None:
+        result = "Correct" if input.groundtruth.lower() == input.prediction.lower() else "Incorrect"
+        await ctx.yield_output(result)
+
+
+def create_workflow():
+    _grade = GradeExecutor(id="grade")
+    return WorkflowBuilder(name="EvalClassificationAccuracyRow", start_executor=_grade).build()