feat(eval api): (2.2/n) delete eval / scoring / scoring_fn apis (#1700)

# What does this PR do?
- To make it easier, delete existing `eval/scoring/scoring_function`
apis. There will be a bunch of broken impls here. The sequence is:
1. migrate benchmark graders
2. clean up existing scoring functions

- Add a skeleton evaluation impl to make tests pass. 

## Test Plan
tested in following PRs

[//]: # (## Documentation)

llama_stack/providers/inline/evaluation/meta_reference/evaluation.py

@@ -0,0 +1,71 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the terms described in the LICENSE file in
+# the root directory of this source tree.
+
+from llama_stack.apis.agents import Agents
+from llama_stack.apis.datasetio import DatasetIO
+from llama_stack.apis.datasets import Datasets
+from llama_stack.apis.inference import Inference
+from llama_stack.providers.datatypes import BenchmarksProtocolPrivate
+
+from .....apis.benchmarks import Benchmark
+from .....apis.evaluation.evaluation import (
+    Evaluation,
+    EvaluationCandidate,
+    EvaluationJob,
+    EvaluationResponse,
+    EvaluationTask,
+)
+from .config import MetaReferenceEvaluationConfig
+
+EVAL_TASKS_PREFIX = "benchmarks:"
+
+
+class MetaReferenceEvaluationImpl(
+    Evaluation,
+    BenchmarksProtocolPrivate,
+):
+    def __init__(
+        self,
+        config: MetaReferenceEvaluationConfig,
+        datasetio_api: DatasetIO,
+        datasets_api: Datasets,
+        inference_api: Inference,
+        agents_api: Agents,
+    ) -> None:
+        self.config = config
+        self.datasetio_api = datasetio_api
+        self.datasets_api = datasets_api
+        self.inference_api = inference_api
+        self.agents_api = agents_api
+
+    async def initialize(self) -> None:
+        pass
+
+    async def shutdown(self) -> None:
+        pass
+
+    async def register_benchmark(self, benchmark: Benchmark) -> None:
+        pass
+
+    async def run(
+        self,
+        task: EvaluationTask,
+        candidate: EvaluationCandidate,
+    ) -> EvaluationJob:
+        raise NotImplementedError("Run is not implemented yet")
+
+    async def run_sync(
+        self,
+        task: EvaluationTask,
+        candidate: EvaluationCandidate,
+    ) -> EvaluationResponse:
+        raise NotImplementedError("Run sync is not implemented yet")
+
+    async def grade(self, task: EvaluationTask) -> EvaluationJob:
+        raise NotImplementedError("Grade is not implemented yet")
+
+    async def grade_sync(self, task: EvaluationTask) -> EvaluationResponse:
+        raise NotImplementedError("Grade sync is not implemented yet")