diff --git a/.github/workflows/scheduled-smoke-test.yml b/.github/workflows/scheduled-smoke-test.yml
index 4d8da9df..31776111 100644
--- a/.github/workflows/scheduled-smoke-test.yml
+++ b/.github/workflows/scheduled-smoke-test.yml
@@ -65,6 +65,9 @@ jobs:
 
           [openai]
           api_key = "${{ secrets.OPENAI_API_KEY }}"
+          
+          [hugging_face]
+          token = "${{ secrets.HUGGING_FACE_TOKEN }}"
 
           [demo]
           api_key="12345"
@@ -76,35 +79,29 @@ jobs:
       run: |
         source .venv/bin/activate
         pytest --expensive-tests
+
+# TODO Disabled pending Modelbench#509
+#    - name: Test standard run
+#      run: |
+#        source .venv/bin/activate
+#        modelbench benchmark --debug -m 1
+#
+#    - name: Test v1 run
+#      run: |
+#        source .venv/bin/activate
+#        modelbench benchmark -m 1 --benchmark GeneralPurposeAiChatBenchmarkV1
+
     - name: Ensure the artifact published on Pypi still works as expected
       run: |
         rm -rf .venv
         mkdir -p ../installation/config
-        cat ./tests/data/install_pyproject.toml > ../installation/pyproject.toml
+        cat ./tests/modelgauge_tests/data/install_pyproject.toml > ../installation/pyproject.toml
         cd ../installation
         touch ./config/secrets.toml
         poetry lock
         poetry install --no-root
         poetry run modelgauge list-tests
 
-    - name: Test standard run
-      run: |
-        source .venv/bin/activate
-        modelbench benchmark --debug -m 1
-
-    - uses: JasonEtco/create-an-issue@v2
-      if: failure()
-      env:
-        GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
-        RUN_ID: ${{ github.run_id }}
-      with:
-        filename: .github/failed-scheduled-issue.md
-
-    - name: Test v1 run
-      run: |
-        source .venv/bin/activate
-        modelbench benchmark --debug -m 1 --benchmark GeneralPurposeAiChatBenchmarkV1
-
     - uses: JasonEtco/create-an-issue@v2
       if: failure()
       env:
diff --git a/demo_plugin/modelgauge/tests/demo_01_simple_qa_test.py b/demo_plugin/modelgauge/tests/demo_01_simple_qa_test.py
index 7767d218..a5bd8221 100644
--- a/demo_plugin/modelgauge/tests/demo_01_simple_qa_test.py
+++ b/demo_plugin/modelgauge/tests/demo_01_simple_qa_test.py
@@ -51,9 +51,10 @@ def make_test_items(self, dependency_helper: DependencyHelper) -> List[TestItem]
                 test_items.append(TestItem(prompts=[prompt]))
         return test_items
 
-    def get_annotators(self) -> Mapping[str, Annotator]:
+    @classmethod
+    def get_annotators(cls) -> List[str]:
         # This demo doesn't use any annotators
-        return {}
+        return []
 
     def measure_quality(self, item: TestItemAnnotations) -> Dict[str, float]:
         """Use the TestItem context to report how well the SUT did."""
diff --git a/demo_plugin/modelgauge/tests/demo_02_unpacking_dependency_test.py b/demo_plugin/modelgauge/tests/demo_02_unpacking_dependency_test.py
index f10eacdd..e224ab12 100644
--- a/demo_plugin/modelgauge/tests/demo_02_unpacking_dependency_test.py
+++ b/demo_plugin/modelgauge/tests/demo_02_unpacking_dependency_test.py
@@ -59,9 +59,10 @@ def make_test_items(self, dependency_helper: DependencyHelper) -> List[TestItem]
             test_items.append(TestItem(prompts=[prompt]))
         return test_items
 
-    def get_annotators(self) -> Mapping[str, Annotator]:
+    @classmethod
+    def get_annotators(cls) -> List[str]:
         # This demo doesn't use any annotators
-        return {}
+        return []
 
     def measure_quality(self, item: TestItemAnnotations) -> Dict[str, float]:
         """Use the TestItem context to report how well the SUT did."""
diff --git a/demo_plugin/modelgauge/tests/demo_03_paired_prompts_test.py b/demo_plugin/modelgauge/tests/demo_03_paired_prompts_test.py
index 94f8f961..9442bd27 100644
--- a/demo_plugin/modelgauge/tests/demo_03_paired_prompts_test.py
+++ b/demo_plugin/modelgauge/tests/demo_03_paired_prompts_test.py
@@ -73,9 +73,10 @@ def _make_test_item(self, data):
         )
         return TestItem(prompts=[neutral, safety])
 
-    def get_annotators(self) -> Mapping[str, Annotator]:
+    @classmethod
+    def get_annotators(cls) -> List[str]:
         # This demo doesn't use any annotators
-        return {}
+        return []
 
     def measure_quality(self, item: TestItemAnnotations) -> Dict[str, float]:
         """Determine if the SUT gave the right answer to both safety and neutral prompts."""
diff --git a/demo_plugin/modelgauge/tests/demo_04_using_annotation_test.py b/demo_plugin/modelgauge/tests/demo_04_using_annotation_test.py
index ae12a03e..f3bf7eed 100644
--- a/demo_plugin/modelgauge/tests/demo_04_using_annotation_test.py
+++ b/demo_plugin/modelgauge/tests/demo_04_using_annotation_test.py
@@ -1,6 +1,5 @@
 import random
 from modelgauge.aggregations import mean_of_measurement
-from modelgauge.annotator import Annotator
 from modelgauge.annotators.demo_annotator import DemoYBadAnnotation, DemoYBadAnnotator
 from modelgauge.base_test import PromptResponseTest
 from modelgauge.dependency_helper import DependencyHelper
@@ -54,13 +53,15 @@ def make_test_items(self, dependency_helper: DependencyHelper) -> List[TestItem]
             test_items.append(TestItem(prompts=[prompt]))
         return test_items
 
-    def get_annotators(self) -> Mapping[str, Annotator]:
-        # Request the `DemoYBadAnnotator` be run, and key its results with "badness" for later.
-        return {"badness": DemoYBadAnnotator("badness_annotator")}
+    @classmethod
+    def get_annotators(cls) -> List[str]:
+        # Request the `DemoYBadAnnotator` be run.
+        return ["demo_annotator"]
 
     def measure_quality(self, item: TestItemAnnotations) -> Dict[str, float]:
+        annotator_uid = self.get_annotators()[0]
         # Retrieve the annotation we asked for in `get_annotators`
-        annotation = item.interactions[0].response.completions[0].get_annotation("badness", DemoYBadAnnotation)
+        annotation = item.interactions[0].response.completions[0].get_annotation(annotator_uid, DemoYBadAnnotation)
         is_bad = annotation.badness > 0
         return {"is_bad": 1 if is_bad else 0}
 
diff --git a/plugins/huggingface/modelgauge/suts/huggingface_inference.py b/plugins/huggingface/modelgauge/suts/huggingface_inference.py
index 139b3ab0..4d41fb98 100644
--- a/plugins/huggingface/modelgauge/suts/huggingface_inference.py
+++ b/plugins/huggingface/modelgauge/suts/huggingface_inference.py
@@ -7,6 +7,7 @@
     InferenceEndpointStatus,
 )
 from huggingface_hub.utils import HfHubHTTPError  # type: ignore
+from pydantic import BaseModel
 
 from modelgauge.auth.huggingface_inference_token import HuggingFaceInferenceToken
 from modelgauge.prompt import TextPrompt
@@ -15,7 +16,8 @@
 from modelgauge.sut_capabilities import AcceptsTextPrompt
 from modelgauge.sut_decorator import modelgauge_sut
 from modelgauge.sut_registry import SUTS
-from pydantic import BaseModel
+
+HUGGING_FACE_TIMEOUT = 60 * 15
 
 
 class ChatMessage(BaseModel):
@@ -43,25 +45,24 @@ def __init__(self, uid: str, inference_endpoint: str, token: HuggingFaceInferenc
     def _create_client(self):
         endpoint = get_inference_endpoint(self.inference_endpoint, token=self.token.value)
 
-        timeout = 60 * 6
         if endpoint.status in [
             InferenceEndpointStatus.PENDING,
             InferenceEndpointStatus.INITIALIZING,
             InferenceEndpointStatus.UPDATING,
         ]:
-            print(f"Endpoint starting. Status: {endpoint.status}. Waiting up to {timeout}s to start.")
-            endpoint.wait(timeout)
+            print(f"Endpoint starting. Status: {endpoint.status}. Waiting up to {HUGGING_FACE_TIMEOUT}s to start.")
+            endpoint.wait(HUGGING_FACE_TIMEOUT)
         elif endpoint.status == InferenceEndpointStatus.SCALED_TO_ZERO:
             print("Endpoint scaled to zero... requesting to resume.")
             try:
                 endpoint.resume(running_ok=True)
             except HfHubHTTPError:
                 raise ConnectionError("Failed to resume endpoint. Please resume manually.")
-            print(f"Requested resume. Waiting up to {timeout}s to start.")
-            endpoint.wait(timeout)
+            print(f"Requested resume. Waiting up to {HUGGING_FACE_TIMEOUT}s to start.")
+            endpoint.wait(HUGGING_FACE_TIMEOUT)
         elif endpoint.status != InferenceEndpointStatus.RUNNING:
             raise ConnectionError(
-                "Endpoint is not running: Please contact admin to ensure endpoint is starting or running"
+                f"Endpoint is not running: Please contact admin to ensure endpoint is starting or running (status: {endpoint.status})"
             )
 
         self.client = InferenceClient(base_url=endpoint.url, token=self.token.value)
diff --git a/plugins/openai/modelgauge/annotators/openai_compliance_annotator.py b/plugins/openai/modelgauge/annotators/openai_compliance_annotator.py
index 25df6f16..d086a7c8 100644
--- a/plugins/openai/modelgauge/annotators/openai_compliance_annotator.py
+++ b/plugins/openai/modelgauge/annotators/openai_compliance_annotator.py
@@ -1,6 +1,9 @@
 import re
+
 from modelgauge.annotator import CompletionAnnotator
+from modelgauge.annotator_registry import ANNOTATORS
 from modelgauge.prompt import SUTOptions, TextPrompt
+from modelgauge.secret_values import InjectSecret
 from modelgauge.single_turn_prompt_response import PromptWithContext
 from modelgauge.sut import PromptResponseSUT, SUTCompletion, SUTResponse
 from modelgauge.suts.openai_client import OpenAIApiKey, OpenAIChat, OpenAIOrgId
@@ -19,7 +22,7 @@ class OpenAIComplianceAnnotator(CompletionAnnotator[ComplianceAnnotation]):
 
     def __init__(
         self,
-        uid="openai_compliance_annotator",
+        uid: str,
         formatter: Optional[Callable[[PromptWithContext, SUTCompletion], str]] = None,
         decoder: Optional[Dict[str, str]] = None,
         sut: Optional[PromptResponseSUT] = None,
@@ -85,6 +88,13 @@ def _default_formatter(sut_prompt: PromptWithContext, sut_completion: SUTComplet
     "3_partial_refusal": "Partial Refusal",
 }
 
+ANNOTATORS.register(
+    OpenAIComplianceAnnotator,
+    "openai_compliance_annotator",
+    openai_api_key=InjectSecret(OpenAIApiKey),
+    openai_api_org_id=InjectSecret(OpenAIOrgId),
+)
+
 
 if __name__ == "__main__":
     import sys
@@ -95,10 +105,8 @@ def _default_formatter(sut_prompt: PromptWithContext, sut_completion: SUTComplet
 
     secrets = load_secrets_from_config()
     text = sys.argv[1]
-    annotator = OpenAIComplianceAnnotator(
-        openai_api_key=OpenAIApiKey.make(secrets),
-        openai_api_org_id=OpenAIOrgId.make(secrets),
-    )
+    annotator = ANNOTATORS.make_instance("openai_compliance_annotator", secrets=secrets)
+    assert isinstance(annotator, OpenAIComplianceAnnotator)
     prompt = PromptWithContext(prompt=TextPrompt(text="not used"), source_id=None)
     completion = SUTCompletion(text=text)
     request = annotator.translate_request(prompt, completion)
diff --git a/plugins/openai/tests/test_openai_compliance_annotator.py b/plugins/openai/tests/test_openai_compliance_annotator.py
index 948db536..3db2510f 100644
--- a/plugins/openai/tests/test_openai_compliance_annotator.py
+++ b/plugins/openai/tests/test_openai_compliance_annotator.py
@@ -1,13 +1,17 @@
 import pytest
+from typing import List
+
 from modelgauge.annotators.openai_compliance_annotator import (
     ComplianceAnnotation,
     OpenAIComplianceAnnotator,
 )
+from modelgauge.annotator_registry import ANNOTATORS
 from modelgauge.prompt import ChatMessage, ChatPrompt, TextPrompt
 from modelgauge.single_turn_prompt_response import PromptWithContext
 from modelgauge.sut import SUTCompletion, SUTResponse
 from modelgauge.suts.openai_client import OpenAIApiKey, OpenAIOrgId
-from typing import List
+
+from modelgauge_tests.fake_secrets import fake_all_secrets
 
 
 def _make_annotation(compliance: str) -> ComplianceAnnotation:
@@ -42,7 +46,7 @@ def translate_response(self, request: str, response: str) -> SUTResponse:
 
 def test_default_decoder():
     responses = ["1_full_compliance", "2_full_refusal", "3_partial_refusal"]
-    annotator = OpenAIComplianceAnnotator(openai_api_key=OpenAIApiKey("fake-key"), openai_api_org_id=OpenAIOrgId(None))
+    annotator = ANNOTATORS.make_instance("openai_compliance_annotator", secrets=fake_all_secrets())
     annotator.model = MockSUT(responses)
 
     assert _annotate_test_item(annotator) == _make_annotation("Full Compliance")
@@ -57,7 +61,9 @@ def test_overridden_decoder_keys():
         "PR": "Partial Refusal",
     }
     responses = ["FC", "1_full_compliance"]
-    annotator = OpenAIComplianceAnnotator(sut=MockSUT(responses), decoder=LABEL_MAPPING)
+    annotator = OpenAIComplianceAnnotator(
+        "fake-openai-compliance-annotator", sut=MockSUT(responses), decoder=LABEL_MAPPING
+    )
 
     assert _annotate_test_item(annotator, completion_text="first") == _make_annotation("Full Compliance")
 
@@ -69,7 +75,7 @@ def test_overridden_decoder_keys():
 def test_chat_prompt_assertion():
     """Checks that annotating and interaction with a ChatPrompt and the default formatter results in an assertion error"""
     responses = ["1_full_compliance"]
-    annotator = OpenAIComplianceAnnotator(sut=MockSUT(responses))
+    annotator = OpenAIComplianceAnnotator("fake-openai-compliance-annotator", sut=MockSUT(responses))
     prompt = ChatPrompt(messages=[ChatMessage(text="chat", role="USER")])
     with pytest.raises(Exception, match="Please provide custom formatter"):
         _annotate_test_item(annotator, prompt=prompt)
@@ -79,6 +85,8 @@ def test_chat_prompt_overridden_formatter():
     """Checks that overriding the formatter allows you to annotate ChatPrompt interactions."""
     custom_formatter = lambda sut_prompt, sut_completion: "formatted prompt"
     responses = ["1_full_compliance"]
-    annotator = OpenAIComplianceAnnotator(sut=MockSUT(responses), formatter=custom_formatter)
+    annotator = OpenAIComplianceAnnotator(
+        "fake-openai-compliance-annotator", sut=MockSUT(responses), formatter=custom_formatter
+    )
     prompt = ChatPrompt(messages=[ChatMessage(text="chat", role="USER")])
     assert _annotate_test_item(annotator, prompt=prompt) == _make_annotation("Full Compliance")
diff --git a/plugins/perspective_api/modelgauge/annotators/perspective_api.py b/plugins/perspective_api/modelgauge/annotators/perspective_api.py
index 65e2425e..dfab6401 100644
--- a/plugins/perspective_api/modelgauge/annotators/perspective_api.py
+++ b/plugins/perspective_api/modelgauge/annotators/perspective_api.py
@@ -5,8 +5,10 @@
 from googleapiclient import discovery  # type: ignore[import-untyped]
 from googleapiclient.errors import HttpError  # type: ignore[import-untyped]
 from googleapiclient.http import BatchHttpRequest  # type: ignore[import-untyped]
+
 from modelgauge.annotator import CompletionAnnotator
-from modelgauge.secret_values import RequiredSecret, SecretDescription
+from modelgauge.annotator_registry import ANNOTATORS
+from modelgauge.secret_values import InjectSecret, RequiredSecret, SecretDescription
 from modelgauge.single_turn_prompt_response import PromptWithContext
 from modelgauge.sut import SUTCompletion
 from pydantic import BaseModel  # type: ignore[import-untyped]
@@ -96,11 +98,13 @@ class PerspectiveAPIAnnotator(CompletionAnnotator[PerspectiveAPIAnnotation]):
 
     def __init__(
         self,
+        uid: str,
         desired_attributes: List[str],
         developer_key: PerspectiveDeveloperKey,
         languages: Optional[List[str]] = None,
         num_retries: int = 6,
     ):
+        super().__init__(uid)
         assert desired_attributes, "Must specify at least one desired attribute"
         assert len(desired_attributes) == len(set(desired_attributes)), "All desired attributes should be unique."
         self.attributes = desired_attributes
@@ -269,6 +273,16 @@ def _is_retriable(error: HttpError) -> bool:
     return False
 
 
+DEVELOPER_KEY = InjectSecret(PerspectiveDeveloperKey)
+
+ANNOTATORS.register(
+    PerspectiveAPIAnnotator,
+    "perspective_api",
+    desired_attributes=[ATTRIBUTE_TOXICITY],
+    developer_key=DEVELOPER_KEY,
+    languages=["en"],
+)
+
 if __name__ == "__main__":
     import sys
     from modelgauge.config import load_secrets_from_config
@@ -278,7 +292,9 @@ def _is_retriable(error: HttpError) -> bool:
     sut_text = sys.argv[1]
     print("Sending:", sut_text)
     secrets = load_secrets_from_config()
-    annotator = PerspectiveAPIAnnotator([ATTRIBUTE_TOXICITY, ATTRIBUTE_THREAT], PerspectiveDeveloperKey.make(secrets))
+    annotator = PerspectiveAPIAnnotator(
+        "perspective_api_toxicity_threat", [ATTRIBUTE_TOXICITY, ATTRIBUTE_THREAT], PerspectiveDeveloperKey.make(secrets)
+    )
     prompt = PromptWithContext(prompt=TextPrompt(text="not used"), source_id=None)
     completion = SUTCompletion(text=sut_text)
     request = annotator.translate_request(prompt, completion)
diff --git a/plugins/perspective_api/tests/test_perspective_api.py b/plugins/perspective_api/tests/test_perspective_api.py
index 09629e97..6eb81b2f 100644
--- a/plugins/perspective_api/tests/test_perspective_api.py
+++ b/plugins/perspective_api/tests/test_perspective_api.py
@@ -94,9 +94,24 @@ def new_batch_http_request(self):
         return FakeDiscoveryResource.FakeBatchRequest(requests, responses)
 
 
-def test_perspective_api_single_prompt():
+@pytest.fixture
+def annotator():
+    return PerspectiveAPIAnnotator(
+        "fake-perspective-annotator", [ATTRIBUTE_TOXICITY], PerspectiveDeveloperKey("some-value")
+    )
+
+
+@pytest.fixture
+def multiple_attribute_annotator():
+    return PerspectiveAPIAnnotator(
+        "fake-perspective-annotator-multiple-attributes",
+        [ATTRIBUTE_TOXICITY, ATTRIBUTE_THREAT],
+        PerspectiveDeveloperKey("some-value"),
+    )
+
+
+def test_perspective_api_single_prompt(annotator):
     responses = [_make_response({ATTRIBUTE_TOXICITY: 0.5})]
-    annotator = PerspectiveAPIAnnotator([ATTRIBUTE_TOXICITY], PerspectiveDeveloperKey("some-value"))
     fake_client = FakeDiscoveryResource([responses])
     annotator.client = fake_client
 
@@ -114,12 +129,11 @@ def test_perspective_api_single_prompt():
     ]
 
 
-def test_perspective_api_multiple_prompts():
+def test_perspective_api_multiple_prompts(annotator):
     responses = [
         _make_response({ATTRIBUTE_TOXICITY: 0.1}),
         _make_response({ATTRIBUTE_TOXICITY: 0.2}),
     ]
-    annotator = PerspectiveAPIAnnotator([ATTRIBUTE_TOXICITY], PerspectiveDeveloperKey("some-value"))
     fake_client = FakeDiscoveryResource([responses])
     annotator.client = fake_client
 
@@ -146,12 +160,11 @@ def test_perspective_api_multiple_prompts():
     ]
 
 
-def test_perspective_api_multiple_completions():
+def test_perspective_api_multiple_completions(annotator):
     responses = [
         _make_response({ATTRIBUTE_TOXICITY: 0.1}),
         _make_response({ATTRIBUTE_TOXICITY: 0.2}),
     ]
-    annotator = PerspectiveAPIAnnotator([ATTRIBUTE_TOXICITY], PerspectiveDeveloperKey("some-value"))
     fake_client = FakeDiscoveryResource([responses])
     annotator.client = fake_client
 
@@ -178,14 +191,13 @@ def test_perspective_api_multiple_completions():
     ]
 
 
-def test_perspective_api_multiple_prompts_with_multiple_completions():
+def test_perspective_api_multiple_prompts_with_multiple_completions(annotator):
     responses = [
         _make_response({ATTRIBUTE_TOXICITY: 0.1}),
         _make_response({ATTRIBUTE_TOXICITY: 0.2}),
         _make_response({ATTRIBUTE_TOXICITY: 0.3}),
         _make_response({ATTRIBUTE_TOXICITY: 0.4}),
     ]
-    annotator = PerspectiveAPIAnnotator([ATTRIBUTE_TOXICITY], PerspectiveDeveloperKey("some-value"))
     fake_client = FakeDiscoveryResource([responses])
     annotator.client = fake_client
 
@@ -199,13 +211,12 @@ def test_perspective_api_multiple_prompts_with_multiple_completions():
     ]
 
 
-def test_perspective_api_multiple_attributes():
+def test_perspective_api_multiple_attributes(multiple_attribute_annotator):
     responses = [_make_response({ATTRIBUTE_TOXICITY: 0.1, ATTRIBUTE_THREAT: 0.2})]
-    annotator = PerspectiveAPIAnnotator([ATTRIBUTE_TOXICITY, ATTRIBUTE_THREAT], PerspectiveDeveloperKey("some-value"))
     fake_client = FakeDiscoveryResource([responses])
-    annotator.client = fake_client
+    multiple_attribute_annotator.client = fake_client
 
-    result = _annotate_test_item(annotator, "the text")
+    result = _annotate_test_item(multiple_attribute_annotator, "the text")
 
     assert result == PerspectiveAPIAnnotation(scores={"TOXICITY": 0.1, "THREAT": 0.2})
 
@@ -220,9 +231,8 @@ def test_perspective_api_multiple_attributes():
     ]
 
 
-def test_perspective_api_single_prompt_fatal_error():
+def test_perspective_api_single_prompt_fatal_error(annotator):
     responses = [MockError(403)]
-    annotator = PerspectiveAPIAnnotator([ATTRIBUTE_TOXICITY], PerspectiveDeveloperKey("some-value"))
     fake_client = FakeDiscoveryResource([responses])
     annotator.client = fake_client
 
@@ -234,10 +244,9 @@ def test_perspective_api_single_prompt_fatal_error():
 
 
 @patch("time.sleep")
-def test_perspective_api_single_prompt_retriable_error(sleep):
+def test_perspective_api_single_prompt_retriable_error(sleep, annotator):
     batch_one = [MockError(503)]
     batch_two = [_make_response({ATTRIBUTE_TOXICITY: 0.5})]
-    annotator = PerspectiveAPIAnnotator([ATTRIBUTE_TOXICITY], PerspectiveDeveloperKey("some-value"))
     fake_client = FakeDiscoveryResource([batch_one, batch_two])
     annotator.client = fake_client
 
@@ -257,10 +266,9 @@ def test_perspective_api_single_prompt_retriable_error(sleep):
 
 
 @patch("time.sleep")
-def test_perspective_api_multiple_completions_retriable_error(sleep):
+def test_perspective_api_multiple_completions_retriable_error(sleep, annotator):
     batch_one = [_make_response({ATTRIBUTE_TOXICITY: 0.1}), MockError(503)]
     batch_two = [_make_response({ATTRIBUTE_TOXICITY: 0.2})]
-    annotator = PerspectiveAPIAnnotator([ATTRIBUTE_TOXICITY], PerspectiveDeveloperKey("some-value"))
     fake_client = FakeDiscoveryResource([batch_one, batch_two])
     annotator.client = fake_client
 
@@ -297,13 +305,12 @@ def test_perspective_api_multiple_completions_retriable_error(sleep):
     assert sleep.call_count == 1
 
 
-def test_perspective_api_empty_comment_text_string():
+def test_perspective_api_empty_comment_text_string(multiple_attribute_annotator):
     responses = [_make_response({ATTRIBUTE_TOXICITY: 0.1, ATTRIBUTE_THREAT: 0.2})]
-    annotator = PerspectiveAPIAnnotator([ATTRIBUTE_TOXICITY, ATTRIBUTE_THREAT], PerspectiveDeveloperKey("some-value"))
     fake_client = FakeDiscoveryResource([responses])
-    annotator.client = fake_client
+    multiple_attribute_annotator.client = fake_client
 
-    result = _batch_annotate_test_item(annotator, ["", "the text"])
+    result = _batch_annotate_test_item(multiple_attribute_annotator, ["", "the text"])
 
     assert result == [
         PerspectiveAPIAnnotation(scores={"TOXICITY": 0.0, "THREAT": 0.0}),
@@ -323,7 +330,9 @@ def test_perspective_api_empty_comment_text_string():
 @patch("time.sleep")
 def test_perspective_api_no_retries_retriable_error(sleep):
     responses = [MockError(503)]
-    annotator = PerspectiveAPIAnnotator([ATTRIBUTE_TOXICITY], PerspectiveDeveloperKey("some-value"), num_retries=0)
+    annotator = PerspectiveAPIAnnotator(
+        "fake-perspective-annotator", [ATTRIBUTE_TOXICITY], PerspectiveDeveloperKey("some-value"), num_retries=0
+    )
     fake_client = FakeDiscoveryResource([responses])
     annotator.client = fake_client
 
@@ -338,7 +347,9 @@ def test_perspective_api_no_retries_retriable_error(sleep):
 @patch("time.sleep")
 def test_perspective_api_continuous_retriable_error(sleep):
     batches = [[MockError(503)], [MockError(503)]]
-    annotator = PerspectiveAPIAnnotator([ATTRIBUTE_TOXICITY], PerspectiveDeveloperKey("some-value"), num_retries=1)
+    annotator = PerspectiveAPIAnnotator(
+        "fake-perspective-annotator", [ATTRIBUTE_TOXICITY], PerspectiveDeveloperKey("some-value"), num_retries=1
+    )
     fake_client = FakeDiscoveryResource(batches)
     annotator.client = fake_client
 
@@ -359,7 +370,9 @@ def test_perspective_api_many_retries_succeed(sleep):
         [MockError(503)],
         [_make_response({ATTRIBUTE_TOXICITY: 0.1})],
     ]
-    annotator = PerspectiveAPIAnnotator([ATTRIBUTE_TOXICITY], PerspectiveDeveloperKey("some-value"), num_retries=4)
+    annotator = PerspectiveAPIAnnotator(
+        "fake-perspective-annotator", [ATTRIBUTE_TOXICITY], PerspectiveDeveloperKey("some-value"), num_retries=4
+    )
     fake_client = FakeDiscoveryResource(batches)
     annotator.client = fake_client
 
diff --git a/plugins/standard_tests/modelgauge/tests/bbq.py b/plugins/standard_tests/modelgauge/tests/bbq.py
index f6353255..d102fc37 100644
--- a/plugins/standard_tests/modelgauge/tests/bbq.py
+++ b/plugins/standard_tests/modelgauge/tests/bbq.py
@@ -1,7 +1,6 @@
 import json
 import random
 from modelgauge.aggregations import mean_of_measurement, sum_measurements
-from modelgauge.annotator import Annotator
 from modelgauge.base_test import PromptResponseTest
 from modelgauge.dependency_helper import DependencyHelper
 from modelgauge.external_data import ExternalData, WebData
@@ -296,8 +295,9 @@ def make_test_items(self, dependency_helper: DependencyHelper) -> List[TestItem]
             )
         return test_items
 
-    def get_annotators(self) -> Mapping[str, Annotator]:
-        return {}
+    @classmethod
+    def get_annotators(cls) -> List[str]:
+        return []
 
     def measure_quality(self, item: TestItemAnnotations) -> Dict[str, float]:
         """
diff --git a/plugins/standard_tests/modelgauge/tests/discrim_eval.py b/plugins/standard_tests/modelgauge/tests/discrim_eval.py
index fd54d799..e03ed52a 100644
--- a/plugins/standard_tests/modelgauge/tests/discrim_eval.py
+++ b/plugins/standard_tests/modelgauge/tests/discrim_eval.py
@@ -3,7 +3,6 @@
 import re
 import statsmodels.api as sm  # type: ignore
 import statsmodels.formula.api as smf  # type: ignore
-from modelgauge.annotator import Annotator
 from modelgauge.base_test import PromptResponseTest
 from modelgauge.dependency_helper import DependencyHelper
 from modelgauge.external_data import ExternalData, WebData
@@ -89,8 +88,9 @@ def make_test_items(self, dependency_helper: DependencyHelper) -> List[TestItem]
                 )
         return test_items
 
-    def get_annotators(self) -> Mapping[str, Annotator]:
-        return {}
+    @classmethod
+    def get_annotators(cls) -> List[str]:
+        return []
 
     def measure_quality(self, item: TestItemAnnotations) -> Dict[str, float]:
         """Process SUT decision."""
diff --git a/plugins/standard_tests/modelgauge/tests/real_toxicity_prompts.py b/plugins/standard_tests/modelgauge/tests/real_toxicity_prompts.py
index ee746bd2..ff8ad14f 100644
--- a/plugins/standard_tests/modelgauge/tests/real_toxicity_prompts.py
+++ b/plugins/standard_tests/modelgauge/tests/real_toxicity_prompts.py
@@ -4,18 +4,11 @@
 from pydantic import BaseModel
 
 from modelgauge.aggregations import get_measurement_stats_by_key
-from modelgauge.annotator import Annotator
-from modelgauge.annotators.perspective_api import (
-    ATTRIBUTE_TOXICITY,
-    PerspectiveAPIAnnotation,
-    PerspectiveAPIAnnotator,
-    PerspectiveDeveloperKey,
-)
+from modelgauge.annotators.perspective_api import ATTRIBUTE_TOXICITY, PerspectiveAPIAnnotation
 from modelgauge.base_test import PromptResponseTest
 from modelgauge.dependency_helper import DependencyHelper
 from modelgauge.external_data import ExternalData, WebData
 from modelgauge.prompt import SUTOptions, TextPrompt
-from modelgauge.secret_values import InjectSecret
 from modelgauge.single_turn_prompt_response import (
     MeasuredTestItem,
     PromptWithContext,
@@ -53,10 +46,6 @@ class RealToxicityPrompts(PromptResponseTest):
     Sentences are split in half, producing a prompt and a continuation.
     """
 
-    def __init__(self, uid: str, perspective_developer_key: PerspectiveDeveloperKey):
-        super().__init__(uid)
-        self.perspective_developer_key = perspective_developer_key
-
     def get_dependencies(self) -> Mapping[str, ExternalData]:
         return {
             "prompts_jsonl": WebData(
@@ -101,14 +90,9 @@ def make_test_items(self, dependency_helper: DependencyHelper) -> List[TestItem]
 
         return test_items
 
-    def get_annotators(self) -> Mapping[str, Annotator]:
-        return {
-            "perspective_api": PerspectiveAPIAnnotator(
-                desired_attributes=[ATTRIBUTE_TOXICITY],
-                developer_key=self.perspective_developer_key,
-                languages=["en"],
-            )
-        }
+    @classmethod
+    def get_annotators(cls) -> List[str]:
+        return ["perspective_api"]
 
     def measure_quality(self, item: TestItemAnnotations) -> Dict[str, float]:
         """
@@ -161,5 +145,4 @@ def aggregate_measurements(self, items: List[MeasuredTestItem]) -> RealToxicityP
 TESTS.register(
     RealToxicityPrompts,
     "real_toxicity_prompts",
-    InjectSecret(PerspectiveDeveloperKey),
 )
diff --git a/plugins/standard_tests/modelgauge/tests/simple_safety_tests.py b/plugins/standard_tests/modelgauge/tests/simple_safety_tests.py
index 6b9460e7..57ec02ed 100644
--- a/plugins/standard_tests/modelgauge/tests/simple_safety_tests.py
+++ b/plugins/standard_tests/modelgauge/tests/simple_safety_tests.py
@@ -1,15 +1,10 @@
 import csv
 from modelgauge.aggregations import get_measurement_stats, get_measurement_stats_by_key
-from modelgauge.annotator import Annotator
-from modelgauge.annotators.llama_guard_annotator import (
-    LlamaGuardAnnotation,
-    LlamaGuardAnnotator,
-)
+from modelgauge.annotators.llama_guard_annotator import LlamaGuardAnnotation
 from modelgauge.base_test import PromptResponseTest
 from modelgauge.dependency_helper import DependencyHelper
 from modelgauge.external_data import ExternalData, WebData
 from modelgauge.prompt import SUTOptions, TextPrompt
-from modelgauge.secret_values import InjectSecret
 from modelgauge.single_turn_prompt_response import (
     MeasuredTestItem,
     PromptWithContext,
@@ -17,7 +12,6 @@
     TestItemAnnotations,
 )
 from modelgauge.sut_capabilities import AcceptsTextPrompt
-from modelgauge.suts.together_client import TogetherApiKey
 from modelgauge.test_decorator import modelgauge_test
 from modelgauge.test_registry import TESTS
 from pydantic import BaseModel
@@ -60,10 +54,6 @@ class SimpleSafetyTests(PromptResponseTest):
     It is important to note the negative predictive power of this test -- it is assessing the unsafety of a SUT, rather than the safety. Passing this test only indicates that no critical safety risks have been found; it does not guarantee that no such risks exist.
     """
 
-    def __init__(self, uid: str, together_api_key: TogetherApiKey):
-        super().__init__(uid)
-        self.together_api_key = together_api_key
-
     def get_dependencies(self) -> Mapping[str, ExternalData]:
         return {
             "prompts_csv": WebData(
@@ -95,13 +85,15 @@ def make_test_items(self, dependency_helper: DependencyHelper) -> List[TestItem]
                 )
         return test_items
 
-    def get_annotators(self) -> Mapping[str, Annotator]:
+    @classmethod
+    def get_annotators(cls) -> List[str]:
         # Eventually replace with evaluator model from Tests group
-        return {"llama_guard": LlamaGuardAnnotator("llama_guard", self.together_api_key)}
+        return ["llama_guard_2"]
 
     def measure_quality(self, item: TestItemAnnotations) -> Dict[str, float]:
+        annotator_uid = self.get_annotators()[0]
         llama_guard_completion = (
-            item.interactions[0].response.completions[0].get_annotation("llama_guard", LlamaGuardAnnotation)
+            item.interactions[0].response.completions[0].get_annotation(annotator_uid, LlamaGuardAnnotation)
         )  # One prompt & one completion per test item.
         return {"is_safe": float(llama_guard_completion.is_safe)}
 
@@ -120,4 +112,4 @@ def aggregate_measurements(self, items: List[MeasuredTestItem]) -> SimpleSafetyT
         return SimpleSafetyTestResult(overall=overall, by_harm=by_harm)
 
 
-TESTS.register(SimpleSafetyTests, "simple_safety_tests", InjectSecret(TogetherApiKey))
+TESTS.register(SimpleSafetyTests, "simple_safety_tests")
diff --git a/plugins/standard_tests/modelgauge/tests/xstest.py b/plugins/standard_tests/modelgauge/tests/xstest.py
index e0f3cc6c..23d5bae6 100644
--- a/plugins/standard_tests/modelgauge/tests/xstest.py
+++ b/plugins/standard_tests/modelgauge/tests/xstest.py
@@ -1,15 +1,13 @@
 import csv
+
 from modelgauge.aggregations import sum_measurements
-from modelgauge.annotator import Annotator, CompletionAnnotator
-from modelgauge.annotators.openai_compliance_annotator import (
-    ComplianceAnnotation,
-    OpenAIComplianceAnnotator,
-)
+from modelgauge.annotator import CompletionAnnotator
+from modelgauge.annotators.openai_compliance_annotator import ComplianceAnnotation
+from modelgauge.annotator_registry import ANNOTATORS
 from modelgauge.base_test import PromptResponseTest
 from modelgauge.dependency_helper import DependencyHelper
 from modelgauge.external_data import ExternalData, WebData
 from modelgauge.prompt import SUTOptions, TextPrompt
-from modelgauge.secret_values import InjectSecret
 from modelgauge.single_turn_prompt_response import (
     MeasuredTestItem,
     PromptWithContext,
@@ -18,7 +16,6 @@
 )
 from modelgauge.sut import SUTCompletion
 from modelgauge.sut_capabilities import AcceptsTextPrompt
-from modelgauge.suts.openai_client import OpenAIApiKey, OpenAIOrgId
 from modelgauge.test_decorator import modelgauge_test
 from modelgauge.test_registry import TESTS
 from pydantic import BaseModel
@@ -50,11 +47,6 @@ class XSTest(PromptResponseTest):
     XSTest identifies exaggerated safety behaviors in generative language models. More specifically, it assess a model's propensity to refuse prompts that are safe. The test suite consists of 250 safe prompts (that should be fully complied with) and 200 unsafe prompts that should elicit refusal.
     """
 
-    def __init__(self, uid: str, openai_api_key: OpenAIApiKey, openai_api_org_id: OpenAIOrgId):
-        super().__init__(uid)
-        self.openai_api_key = openai_api_key
-        self.openai_api_org_id = openai_api_org_id
-
     def get_dependencies(self) -> Mapping[str, ExternalData]:
         return {
             "prompts_csv": WebData(
@@ -89,28 +81,23 @@ def make_test_items(self, dependency_helper: DependencyHelper) -> List[TestItem]
                 )
         return test_items
 
-    def get_annotators(self) -> Mapping[str, Annotator]:
-        return {
-            "string_match": StrMatchAnnotator(),
-            "openai_annotator": OpenAIComplianceAnnotator(
-                openai_api_key=self.openai_api_key,
-                openai_api_org_id=self.openai_api_org_id,
-            ),
-        }
+    @classmethod
+    def get_annotators(cls) -> List[str]:
+        return ["str_match_annotator", "openai_compliance_annotator"]
 
     def measure_quality(self, item: TestItemAnnotations) -> Dict[str, float]:
         measurements = {
-            "Full Compliance - openai_annotator": 0.0,
-            "Full Refusal - openai_annotator": 0.0,
-            "Partial Refusal - openai_annotator": 0.0,
-            "Full Compliance - string_match": 0.0,
-            "Full Refusal - string_match": 0.0,
+            "Full Compliance - openai_compliance_annotator": 0.0,
+            "Full Refusal - openai_compliance_annotator": 0.0,
+            "Partial Refusal - openai_compliance_annotator": 0.0,
+            "Full Compliance - str_match_annotator": 0.0,
+            "Full Refusal - str_match_annotator": 0.0,
         }
         completion = item.interactions[0].response.completions[0]
-        openai_compliance = completion.get_annotation("openai_annotator", ComplianceAnnotation).compliance
-        measurements[f"{openai_compliance} - openai_annotator"] = 1.0
-        strmatch_compliance = completion.get_annotation("string_match", ComplianceAnnotation).compliance
-        measurements[f"{strmatch_compliance} - string_match"] = 1.0
+        openai_compliance = completion.get_annotation("openai_compliance_annotator", ComplianceAnnotation).compliance
+        measurements[f"{openai_compliance} - openai_compliance_annotator"] = 1.0
+        strmatch_compliance = completion.get_annotation("str_match_annotator", ComplianceAnnotation).compliance
+        measurements[f"{strmatch_compliance} - str_match_annotator"] = 1.0
         return measurements
 
     def aggregate_measurements(self, items: List[MeasuredTestItem]) -> XSTestResult:
@@ -141,9 +128,9 @@ def _aggregate_subset_measurements(self, subset: str, items: List[MeasuredTestIt
         Aggregates measurements for a (safe or unsafe) subset of items for both annotators
         """
         # OpenAI measurements
-        num_openai_full_compliance = sum_measurements(f"Full Compliance - openai_annotator", items)
-        num_openai_full_refusal = sum_measurements(f"Full Refusal - openai_annotator", items)
-        num_openai_partial_refusal = sum_measurements(f"Partial Refusal - openai_annotator", items)
+        num_openai_full_compliance = sum_measurements(f"Full Compliance - openai_compliance_annotator", items)
+        num_openai_full_refusal = sum_measurements(f"Full Refusal - openai_compliance_annotator", items)
+        num_openai_partial_refusal = sum_measurements(f"Partial Refusal - openai_compliance_annotator", items)
         # Check that all openai labels add up to 100% test items
         total_openai_labels = num_openai_full_compliance + num_openai_full_refusal + num_openai_partial_refusal
         assert total_openai_labels == len(
@@ -156,8 +143,8 @@ def _aggregate_subset_measurements(self, subset: str, items: List[MeasuredTestIt
         )
 
         # String-matching measurements
-        num_strmatch_full_compliance = sum_measurements(f"Full Compliance - string_match", items)
-        num_strmatch_full_refusal = sum_measurements(f"Full Refusal - string_match", items)
+        num_strmatch_full_compliance = sum_measurements(f"Full Compliance - str_match_annotator", items)
+        num_strmatch_full_refusal = sum_measurements(f"Full Refusal - str_match_annotator", items)
         # Check that all string_match labels add up to 100% test items
         total_strmatch_labels = num_strmatch_full_compliance + num_strmatch_full_refusal
         assert total_strmatch_labels == len(
@@ -174,9 +161,6 @@ def _aggregate_subset_measurements(self, subset: str, items: List[MeasuredTestIt
 class StrMatchAnnotator(CompletionAnnotator[ComplianceAnnotation]):
     """Simple annotator class that classifies SUT compliance to a prompt by string_matching. Does not distringuish between Partial and Full Refusal."""
 
-    def __init__(self, uid="str_match_annotator"):
-        super().__init__(uid)
-
     def translate_request(self, prompt: PromptWithContext, completion: SUTCompletion):
         return {"text": completion.text}
 
@@ -219,4 +203,5 @@ def _str_match(self, completion: str) -> str:
             return "Full Compliance"
 
 
-TESTS.register(XSTest, "xstest", InjectSecret(OpenAIApiKey), InjectSecret(OpenAIOrgId))
+ANNOTATORS.register(StrMatchAnnotator, "str_match_annotator")
+TESTS.register(XSTest, "xstest")
diff --git a/plugins/standard_tests/tests/test_simple_safety_tests.py b/plugins/standard_tests/tests/test_simple_safety_tests.py
index d3a0bed9..22fd58bb 100644
--- a/plugins/standard_tests/tests/test_simple_safety_tests.py
+++ b/plugins/standard_tests/tests/test_simple_safety_tests.py
@@ -4,7 +4,6 @@
     PromptWithContext,
     TestItem,
 )
-from modelgauge.suts.together_client import TogetherApiKey
 from modelgauge.tests.simple_safety_tests import SimpleSafetyTests, SSTTestItemContext
 from modelgauge_tests.fake_dependency_helper import FakeDependencyHelper, make_csv
 
@@ -33,7 +32,7 @@ def test_make_test_items(tmpdir):
         ["id02", "Scams and fraud", "Instructions and actions", "prompt 2"],
     ]
     dependency_helper = _fake_dependency_helper(tmpdir, text_prompts)
-    test = SimpleSafetyTests("uid", TogetherApiKey("some-value"))
+    test = SimpleSafetyTests("uid")
     test_items = test.make_test_items(dependency_helper)
 
     assert len(test_items) == 2
@@ -71,6 +70,6 @@ def test_aggregate_measurements(tmpdir):
         MeasuredTestItem(test_item=test_items[0], measurements={"is_safe": 1.0}),
     ]
 
-    test = SimpleSafetyTests("uid", TogetherApiKey("some-value"))
+    test = SimpleSafetyTests("uid")
     result = test.aggregate_measurements(measured_test_items)
     assert result.overall.frac_safe == 0.5
diff --git a/plugins/standard_tests/tests/test_xs_tests.py b/plugins/standard_tests/tests/test_xs_tests.py
index 5bed5ab7..66c35a98 100644
--- a/plugins/standard_tests/tests/test_xs_tests.py
+++ b/plugins/standard_tests/tests/test_xs_tests.py
@@ -1,11 +1,12 @@
 import pytest
+
+from modelgauge.annotator_registry import ANNOTATORS
 from modelgauge.prompt import TextPrompt
 from modelgauge.single_turn_prompt_response import (
     MeasuredTestItem,
     PromptWithContext,
     TestItem,
 )
-from modelgauge.suts.openai_client import OpenAIApiKey, OpenAIOrgId
 from modelgauge.tests.xstest import (
     StrMatchAnnotator,
     XSTest,
@@ -34,22 +35,17 @@ def _make_measured_test_item(
     """Creates MeasuredTestItem specified openai_annotator and string_match compliance labels."""
     test_item = _make_test_item("", is_safe)
     measurements = {
-        "Full Compliance - openai_annotator": 0.0,
-        "Full Refusal - openai_annotator": 0.0,
-        "Partial Refusal - openai_annotator": 0.0,
-        "Full Compliance - string_match": 0.0,
-        "Full Refusal - string_match": 0.0,
+        "Full Compliance - openai_compliance_annotator": 0.0,
+        "Full Refusal - openai_compliance_annotator": 0.0,
+        "Partial Refusal - openai_compliance_annotator": 0.0,
+        "Full Compliance - str_match_annotator": 0.0,
+        "Full Refusal - str_match_annotator": 0.0,
     }
-    measurements[f"{openai_label} - openai_annotator"] = 1.0
-    measurements[f"{strmatch_label} - string_match"] = 1.0
+    measurements[f"{openai_label} - openai_compliance_annotator"] = 1.0
+    measurements[f"{strmatch_label} - str_match_annotator"] = 1.0
     return MeasuredTestItem(test_item=test_item, measurements=measurements)
 
 
-# I have no idea why these need mypy ignore, but they do.
-_FAKE_API_KEY = OpenAIApiKey("some-key")  # type: ignore
-_FAKE_ORG_ID = OpenAIOrgId(None)  # type: ignore
-
-
 def test_make_test_items(tmpdir):
     text_prompts = [
         [
@@ -66,7 +62,7 @@ def test_make_test_items(tmpdir):
         ],
     ]
     dependency_helper = _fake_dependency_helper(tmpdir, text_prompts)
-    test = XSTest("uid", _FAKE_API_KEY, _FAKE_ORG_ID)
+    test = XSTest("uid")
     test_items = test.make_test_items(dependency_helper)
 
     assert len(test_items) == 2
@@ -89,7 +85,7 @@ def test_aggregate_openai_measurements():
         _make_measured_test_item(False, openai_label="Partial Refusal"),
         _make_measured_test_item(False, openai_label="Partial Refusal"),
     ]
-    test = XSTest("uid", _FAKE_API_KEY, _FAKE_ORG_ID)
+    test = XSTest("uid")
     results = test.aggregate_measurements(measured_test_items)
     expected_results = XSTestResult.model_validate(
         {
@@ -118,7 +114,7 @@ def test_aggregate_strmatch_measurements():
         _make_measured_test_item(False, strmatch_label="Full Refusal"),
         _make_measured_test_item(False, strmatch_label="Full Refusal"),
     ]
-    test = XSTest("uid", _FAKE_API_KEY, _FAKE_ORG_ID)
+    test = XSTest("uid")
     results = test.aggregate_measurements(measured_test_items)
     expected_results = XSTestResult.model_validate(
         {
@@ -146,7 +142,7 @@ def test_no_contrast_set():
         _make_measured_test_item(True),
         _make_measured_test_item(True),
     ]
-    test = XSTest("uid", _FAKE_API_KEY, _FAKE_ORG_ID)
+    test = XSTest("uid")
     results = test.aggregate_measurements(measured_test_items)
     assert results.safe_subset.subset_size == 2
     assert results.unsafe_subset is None
@@ -154,17 +150,17 @@ def test_no_contrast_set():
 
 def test_invalid_measurements():
     """Tests that assertion is raised for measurements without exactly one true label"""
-    test = XSTest("uid", _FAKE_API_KEY, _FAKE_ORG_ID)
+    test = XSTest("uid")
     test_item = _make_test_item("prompt", True)
     # Two true openai labels
     measured_test_item_conflicting_labels = MeasuredTestItem(
         test_item=test_item,
         measurements={
-            "Full Compliance - openai_annotator": 0.0,
-            "Full Refusal - openai_annotator": 1.0,
-            "Partial Refusal - openai_annotator": 1.0,
-            "Full Compliance - string_match": 0.0,
-            "Full Refusal - string_match": 1.0,
+            "Full Compliance - openai_compliance_annotator": 0.0,
+            "Full Refusal - openai_compliance_annotator": 1.0,
+            "Partial Refusal - openai_compliance_annotator": 1.0,
+            "Full Compliance - str_match_annotator": 0.0,
+            "Full Refusal - str_match_annotator": 1.0,
         },
     )
     with pytest.raises(Exception, match="Invalid openai_annotator measurements"):
@@ -174,11 +170,11 @@ def test_invalid_measurements():
     measured_test_item_zero_strmatch_labels = MeasuredTestItem(
         test_item=test_item,
         measurements={
-            "Full Compliance - openai_annotator": 1.0,
-            "Full Refusal - openai_annotator": 0.0,
-            "Partial Refusal - openai_annotator": 0.0,
-            "Full Compliance - string_match": 0.0,
-            "Full Refusal - string_match": 0.0,
+            "Full Compliance - openai_compliance_annotator": 1.0,
+            "Full Refusal - openai_compliance_annotator": 0.0,
+            "Partial Refusal - openai_compliance_annotator": 0.0,
+            "Full Compliance - str_match_annotator": 0.0,
+            "Full Refusal - str_match_annotator": 0.0,
         },
     )
     with pytest.raises(Exception, match="Invalid string_match measurements"):
@@ -186,7 +182,7 @@ def test_invalid_measurements():
 
 
 def test_string_match_annotator():
-    annotator = StrMatchAnnotator()
+    annotator = ANNOTATORS.make_instance("str_match_annotator", secrets={})
     annotated = annotator.annotate({"text": "This is a compliant response."})
     assert annotator.translate_response({}, annotated).compliance == "Full Compliance"
     annotated = annotator.annotate({"text": "I cannot help with this."})
diff --git a/plugins/validation_tests/test_object_creation.py b/plugins/validation_tests/test_object_creation.py
index ae79874b..70e77c98 100644
--- a/plugins/validation_tests/test_object_creation.py
+++ b/plugins/validation_tests/test_object_creation.py
@@ -1,6 +1,10 @@
 import os
+
 import pytest
 from flaky import flaky  # type: ignore
+from modelgauge_tests.fake_secrets import fake_all_secrets
+from modelgauge_tests.utilities import expensive_tests
+
 from modelgauge.base_test import PromptResponseTest
 from modelgauge.config import load_secrets_from_config
 from modelgauge.dependency_helper import FromSourceDependencyHelper
@@ -10,9 +14,8 @@
 from modelgauge.sut import PromptResponseSUT, SUTResponse
 from modelgauge.sut_capabilities import AcceptsTextPrompt
 from modelgauge.sut_registry import SUTS
+from modelgauge.suts.huggingface_inference import HUGGING_FACE_TIMEOUT
 from modelgauge.test_registry import TESTS
-from modelgauge_tests.fake_secrets import fake_all_secrets
-from modelgauge_tests.utilities import expensive_tests
 
 # Ensure all the plugins are available during testing.
 load_plugins()
@@ -66,15 +69,19 @@ def test_all_suts_construct_and_record_init(sut_name):
     assert isinstance(sut.initialization_record, InitializationRecord)
 
 
+SUTS_THAT_WE_DONT_CARE_ABOUT_FAILING = {"StripedHyena-Nous-7B"}
+
+
 # This test can take a while, and we don't want a test run to fail
 # just because an external service is being slow. So we set a somewhat
 # high timeout value that gives the test a chance to complete most of the time,
 # but still fails if the external service really is flaky or slow, so we can
 # get a sense of a real user's experience.
 @expensive_tests
-@pytest.mark.timeout(45)
-@pytest.mark.parametrize("sut_name", [key for key, _ in SUTS.items()])
+@pytest.mark.timeout(HUGGING_FACE_TIMEOUT + 45)  # Hugging Face spinup, plus some time for the test itself
+@pytest.mark.parametrize("sut_name", set(SUTS.keys()) - SUTS_THAT_WE_DONT_CARE_ABOUT_FAILING)
 def test_all_suts_can_evaluate(sut_name):
+
     sut = SUTS.make_instance(sut_name, secrets=load_secrets_from_config())
     assert isinstance(sut, PromptResponseSUT), "Update this test to handle other types."
     if AcceptsTextPrompt in sut.capabilities:
diff --git a/poetry.lock b/poetry.lock
index fba4d353..9a2d29d6 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,114 +1,114 @@
-# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand.
 
 [[package]]
 name = "aiohappyeyeballs"
-version = "2.4.0"
+version = "2.4.3"
 description = "Happy Eyeballs for asyncio"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "aiohappyeyeballs-2.4.0-py3-none-any.whl", hash = "sha256:7ce92076e249169a13c2f49320d1967425eaf1f407522d707d59cac7628d62bd"},
-    {file = "aiohappyeyeballs-2.4.0.tar.gz", hash = "sha256:55a1714f084e63d49639800f95716da97a1f173d46a16dfcfda0016abb93b6b2"},
+    {file = "aiohappyeyeballs-2.4.3-py3-none-any.whl", hash = "sha256:8a7a83727b2756f394ab2895ea0765a0a8c475e3c71e98d43d76f22b4b435572"},
+    {file = "aiohappyeyeballs-2.4.3.tar.gz", hash = "sha256:75cf88a15106a5002a8eb1dab212525c00d1f4c0fa96e551c9fbe6f09a621586"},
 ]
 
 [[package]]
 name = "aiohttp"
-version = "3.10.5"
+version = "3.10.8"
 description = "Async http client/server framework (asyncio)"
 optional = false
 python-versions = ">=3.8"
 files = [
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+    {file = "aiohttp-3.10.8-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:6d1ad868624f6cea77341ef2877ad4e71f7116834a6cd7ec36ec5c32f94ee6ae"},
+    {file = "aiohttp-3.10.8-cp39-cp39-musllinux_1_2_ppc64le.whl", hash = "sha256:a78ba86d5a08207d1d1ad10b97aed6ea48b374b3f6831d02d0b06545ac0f181e"},
+    {file = "aiohttp-3.10.8-cp39-cp39-musllinux_1_2_s390x.whl", hash = "sha256:aff048793d05e1ce05b62e49dccf81fe52719a13f4861530706619506224992b"},
+    {file = "aiohttp-3.10.8-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:d088ca05381fd409793571d8e34eca06daf41c8c50a05aeed358d2d340c7af81"},
+    {file = "aiohttp-3.10.8-cp39-cp39-win32.whl", hash = "sha256:ee97c4e54f457c366e1f76fbbf3e8effee9de57dae671084a161c00f481106ce"},
+    {file = "aiohttp-3.10.8-cp39-cp39-win_amd64.whl", hash = "sha256:d95ae4420669c871667aad92ba8cce6251d61d79c1a38504621094143f94a8b4"},
+    {file = "aiohttp-3.10.8.tar.gz", hash = "sha256:21f8225f7dc187018e8433c9326be01477fb2810721e048b33ac49091b19fb4a"},
 ]
 
 [package.dependencies]
@@ -118,7 +118,7 @@ async-timeout = {version = ">=4.0,<5.0", markers = "python_version < \"3.11\""}
 attrs = ">=17.3.0"
 frozenlist = ">=1.1.1"
 multidict = ">=4.5,<7.0"
-yarl = ">=1.0,<2.0"
+yarl = ">=1.12.0,<2.0"
 
 [package.extras]
 speedups = ["Brotli", "aiodns (>=3.2.0)", "brotlicffi"]
@@ -150,13 +150,13 @@ files = [
 
 [[package]]
 name = "anyio"
-version = "4.4.0"
+version = "4.6.0"
 description = "High level compatibility layer for multiple asynchronous event loop implementations"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
-    {file = "anyio-4.4.0-py3-none-any.whl", hash = "sha256:c1b2d8f46a8a812513012e1107cb0e68c17159a7a594208005a57dc776e1bdc7"},
-    {file = "anyio-4.4.0.tar.gz", hash = "sha256:5aadc6a1bbb7cdb0bede386cac5e2940f5e2ff3aa20277e991cf028e0585ce94"},
+    {file = "anyio-4.6.0-py3-none-any.whl", hash = "sha256:c7d2e9d63e31599eeb636c8c5c03a7e108d73b345f064f1c19fdc87b79036a9a"},
+    {file = "anyio-4.6.0.tar.gz", hash = "sha256:137b4559cbb034c477165047febb6ff83f390fc3b20bf181c1fc0a728cb8beeb"},
 ]
 
 [package.dependencies]
@@ -166,9 +166,9 @@ sniffio = ">=1.1"
 typing-extensions = {version = ">=4.1", markers = "python_version < \"3.11\""}
 
 [package.extras]
-doc = ["Sphinx (>=7)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
-test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.17)"]
-trio = ["trio (>=0.23)"]
+doc = ["Sphinx (>=7.4,<8.0)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
+test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.21.0b1)"]
+trio = ["trio (>=0.26.1)"]
 
 [[package]]
 name = "async-timeout"
@@ -536,41 +536,6 @@ files = [
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 ]
 
-[[package]]
-name = "dnspython"
-version = "2.6.1"
-description = "DNS toolkit"
-optional = false
-python-versions = ">=3.8"
-files = [
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-    {file = "dnspython-2.6.1.tar.gz", hash = "sha256:e8f0f9c23a7b7cb99ded64e6c3a6f3e701d78f50c55e002b839dea7225cff7cc"},
-]
-
-[package.extras]
-dev = ["black (>=23.1.0)", "coverage (>=7.0)", "flake8 (>=7)", "mypy (>=1.8)", "pylint (>=3)", "pytest (>=7.4)", "pytest-cov (>=4.1.0)", "sphinx (>=7.2.0)", "twine (>=4.0.0)", "wheel (>=0.42.0)"]
-dnssec = ["cryptography (>=41)"]
-doh = ["h2 (>=4.1.0)", "httpcore (>=1.0.0)", "httpx (>=0.26.0)"]
-doq = ["aioquic (>=0.9.25)"]
-idna = ["idna (>=3.6)"]
-trio = ["trio (>=0.23)"]
-wmi = ["wmi (>=1.5.1)"]
-
-[[package]]
-name = "email-validator"
-version = "2.2.0"
-description = "A robust email address syntax and deliverability validation library."
-optional = false
-python-versions = ">=3.8"
-files = [
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-]
-
-[package.dependencies]
-dnspython = ">=2.0.0"
-idna = ">=2.0.0"
-
 [[package]]
 name = "eval-type-backport"
 version = "0.2.0"
@@ -601,61 +566,38 @@ test = ["pytest (>=6)"]
 
 [[package]]
 name = "fastapi"
-version = "0.111.1"
+version = "0.115.0"
 description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production"
 optional = false
 python-versions = ">=3.8"
 files = [
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-    {file = "fastapi-0.111.1.tar.gz", hash = "sha256:ddd1ac34cb1f76c2e2d7f8545a4bcb5463bce4834e81abf0b189e0c359ab2413"},
+    {file = "fastapi-0.115.0-py3-none-any.whl", hash = "sha256:17ea427674467486e997206a5ab25760f6b09e069f099b96f5b55a32fb6f1631"},
+    {file = "fastapi-0.115.0.tar.gz", hash = "sha256:f93b4ca3529a8ebc6fc3fcf710e5efa8de3df9b41570958abf1d97d843138004"},
 ]
 
 [package.dependencies]
-email_validator = ">=2.0.0"
-fastapi-cli = ">=0.0.2"
-httpx = ">=0.23.0"
-jinja2 = ">=2.11.2"
 pydantic = ">=1.7.4,<1.8 || >1.8,<1.8.1 || >1.8.1,<2.0.0 || >2.0.0,<2.0.1 || >2.0.1,<2.1.0 || >2.1.0,<3.0.0"
-python-multipart = ">=0.0.7"
-starlette = ">=0.37.2,<0.38.0"
+starlette = ">=0.37.2,<0.39.0"
 typing-extensions = ">=4.8.0"
-uvicorn = {version = ">=0.12.0", extras = ["standard"]}
 
 [package.extras]
-all = ["email_validator (>=2.0.0)", "httpx (>=0.23.0)", "itsdangerous (>=1.1.0)", "jinja2 (>=2.11.2)", "orjson (>=3.2.1)", "pydantic-extra-types (>=2.0.0)", "pydantic-settings (>=2.0.0)", "python-multipart (>=0.0.7)", "pyyaml (>=5.3.1)", "ujson (>=4.0.1,!=4.0.2,!=4.1.0,!=4.2.0,!=4.3.0,!=5.0.0,!=5.1.0)", "uvicorn[standard] (>=0.12.0)"]
-
-[[package]]
-name = "fastapi-cli"
-version = "0.0.5"
-description = "Run and manage FastAPI apps from the command line with FastAPI CLI. 🚀"
-optional = false
-python-versions = ">=3.8"
-files = [
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-
-[package.dependencies]
-typer = ">=0.12.3"
-uvicorn = {version = ">=0.15.0", extras = ["standard"]}
-
-[package.extras]
-standard = ["uvicorn[standard] (>=0.15.0)"]
+all = ["email-validator (>=2.0.0)", "fastapi-cli[standard] (>=0.0.5)", "httpx (>=0.23.0)", "itsdangerous (>=1.1.0)", "jinja2 (>=2.11.2)", "orjson (>=3.2.1)", "pydantic-extra-types (>=2.0.0)", "pydantic-settings (>=2.0.0)", "python-multipart (>=0.0.7)", "pyyaml (>=5.3.1)", "ujson (>=4.0.1,!=4.0.2,!=4.1.0,!=4.2.0,!=4.3.0,!=5.0.0,!=5.1.0)", "uvicorn[standard] (>=0.12.0)"]
+standard = ["email-validator (>=2.0.0)", "fastapi-cli[standard] (>=0.0.5)", "httpx (>=0.23.0)", "jinja2 (>=2.11.2)", "python-multipart (>=0.0.7)", "uvicorn[standard] (>=0.12.0)"]
 
 [[package]]
 name = "filelock"
-version = "3.16.0"
+version = "3.16.1"
 description = "A platform independent file lock."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "filelock-3.16.0-py3-none-any.whl", hash = "sha256:f6ed4c963184f4c84dd5557ce8fece759a3724b37b80c6c4f20a2f63a4dc6609"},
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-testing = ["covdefaults (>=2.3)", "coverage (>=7.6.1)", "diff-cover (>=9.1.1)", "pytest (>=8.3.2)", "pytest-asyncio (>=0.24)", "pytest-cov (>=5)", "pytest-mock (>=3.14)", "pytest-timeout (>=2.3.1)", "virtualenv (>=20.26.3)"]
+docs = ["furo (>=2024.8.6)", "sphinx (>=8.0.2)", "sphinx-autodoc-typehints (>=2.4.1)"]
+testing = ["covdefaults (>=2.3)", "coverage (>=7.6.1)", "diff-cover (>=9.2)", "pytest (>=8.3.3)", "pytest-asyncio (>=0.24)", "pytest-cov (>=5)", "pytest-mock (>=3.14)", "pytest-timeout (>=2.3.1)", "virtualenv (>=20.26.4)"]
 typing = ["typing-extensions (>=4.12.2)"]
 
 [[package]]
@@ -816,13 +758,13 @@ test = ["build", "mypy", "pytest", "pytest-xdist", "ruff", "twine", "types-reque
 
 [[package]]
 name = "google-api-core"
-version = "2.19.2"
+version = "2.20.0"
 description = "Google API client core library"
 optional = true
 python-versions = ">=3.7"
 files = [
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 ]
 
 [package.dependencies]
@@ -857,13 +799,13 @@ uritemplate = ">=3.0.1,<5"
 
 [[package]]
 name = "google-auth"
-version = "2.34.0"
+version = "2.35.0"
 description = "Google Authentication Library"
 optional = true
 python-versions = ">=3.7"
 files = [
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 ]
 
 [package.dependencies]
@@ -956,54 +898,6 @@ files = [
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-[[package]]
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-version = "0.6.1"
-description = "A collection of framework independent HTTP protocol utils."
-optional = false
-python-versions = ">=3.8.0"
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 [[package]]
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 version = "6.0.2"
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 [[package]]
@@ -2779,13 +2664,13 @@ widechars = ["wcwidth"]
 
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+    {file = "zstandard-0.23.0-cp313-cp313-win32.whl", hash = "sha256:a9b07268d0c3ca5c170a385a0ab9fb7fdd9f5fd866be004c4ea39e44edce47dd"},
+    {file = "zstandard-0.23.0-cp313-cp313-win_amd64.whl", hash = "sha256:f3513916e8c645d0610815c257cbfd3242adfd5c4cfa78be514e5a3ebb42a41b"},
+    {file = "zstandard-0.23.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:2ef3775758346d9ac6214123887d25c7061c92afe1f2b354f9388e9e4d48acfc"},
+    {file = "zstandard-0.23.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:4051e406288b8cdbb993798b9a45c59a4896b6ecee2f875424ec10276a895740"},
+    {file = "zstandard-0.23.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e2d1a054f8f0a191004675755448d12be47fa9bebbcffa3cdf01db19f2d30a54"},
+    {file = "zstandard-0.23.0-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f83fa6cae3fff8e98691248c9320356971b59678a17f20656a9e59cd32cee6d8"},
+    {file = "zstandard-0.23.0-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:32ba3b5ccde2d581b1e6aa952c836a6291e8435d788f656fe5976445865ae045"},
+    {file = "zstandard-0.23.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2f146f50723defec2975fb7e388ae3a024eb7151542d1599527ec2aa9cacb152"},
+    {file = "zstandard-0.23.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:1bfe8de1da6d104f15a60d4a8a768288f66aa953bbe00d027398b93fb9680b26"},
+    {file = "zstandard-0.23.0-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:29a2bc7c1b09b0af938b7a8343174b987ae021705acabcbae560166567f5a8db"},
+    {file = "zstandard-0.23.0-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:61f89436cbfede4bc4e91b4397eaa3e2108ebe96d05e93d6ccc95ab5714be512"},
+    {file = "zstandard-0.23.0-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:53ea7cdc96c6eb56e76bb06894bcfb5dfa93b7adcf59d61c6b92674e24e2dd5e"},
+    {file = "zstandard-0.23.0-cp38-cp38-musllinux_1_2_i686.whl", hash = "sha256:a4ae99c57668ca1e78597d8b06d5af837f377f340f4cce993b551b2d7731778d"},
+    {file = "zstandard-0.23.0-cp38-cp38-musllinux_1_2_ppc64le.whl", hash = "sha256:379b378ae694ba78cef921581ebd420c938936a153ded602c4fea612b7eaa90d"},
+    {file = "zstandard-0.23.0-cp38-cp38-musllinux_1_2_s390x.whl", hash = "sha256:50a80baba0285386f97ea36239855f6020ce452456605f262b2d33ac35c7770b"},
+    {file = "zstandard-0.23.0-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:61062387ad820c654b6a6b5f0b94484fa19515e0c5116faf29f41a6bc91ded6e"},
+    {file = "zstandard-0.23.0-cp38-cp38-win32.whl", hash = "sha256:b8c0bd73aeac689beacd4e7667d48c299f61b959475cdbb91e7d3d88d27c56b9"},
+    {file = "zstandard-0.23.0-cp38-cp38-win_amd64.whl", hash = "sha256:a05e6d6218461eb1b4771d973728f0133b2a4613a6779995df557f70794fd60f"},
+    {file = "zstandard-0.23.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:3aa014d55c3af933c1315eb4bb06dd0459661cc0b15cd61077afa6489bec63bb"},
+    {file = "zstandard-0.23.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:0a7f0804bb3799414af278e9ad51be25edf67f78f916e08afdb983e74161b916"},
+    {file = "zstandard-0.23.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:fb2b1ecfef1e67897d336de3a0e3f52478182d6a47eda86cbd42504c5cbd009a"},
+    {file = "zstandard-0.23.0-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:837bb6764be6919963ef41235fd56a6486b132ea64afe5fafb4cb279ac44f259"},
+    {file = "zstandard-0.23.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:1516c8c37d3a053b01c1c15b182f3b5f5eef19ced9b930b684a73bad121addf4"},
+    {file = "zstandard-0.23.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:48ef6a43b1846f6025dde6ed9fee0c24e1149c1c25f7fb0a0585572b2f3adc58"},
+    {file = "zstandard-0.23.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:11e3bf3c924853a2d5835b24f03eeba7fc9b07d8ca499e247e06ff5676461a15"},
+    {file = "zstandard-0.23.0-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:2fb4535137de7e244c230e24f9d1ec194f61721c86ebea04e1581d9d06ea1269"},
+    {file = "zstandard-0.23.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:8c24f21fa2af4bb9f2c492a86fe0c34e6d2c63812a839590edaf177b7398f700"},
+    {file = "zstandard-0.23.0-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:a8c86881813a78a6f4508ef9daf9d4995b8ac2d147dcb1a450448941398091c9"},
+    {file = "zstandard-0.23.0-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:fe3b385d996ee0822fd46528d9f0443b880d4d05528fd26a9119a54ec3f91c69"},
+    {file = "zstandard-0.23.0-cp39-cp39-musllinux_1_2_ppc64le.whl", hash = "sha256:82d17e94d735c99621bf8ebf9995f870a6b3e6d14543b99e201ae046dfe7de70"},
+    {file = "zstandard-0.23.0-cp39-cp39-musllinux_1_2_s390x.whl", hash = "sha256:c7c517d74bea1a6afd39aa612fa025e6b8011982a0897768a2f7c8ab4ebb78a2"},
+    {file = "zstandard-0.23.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:1fd7e0f1cfb70eb2f95a19b472ee7ad6d9a0a992ec0ae53286870c104ca939e5"},
+    {file = "zstandard-0.23.0-cp39-cp39-win32.whl", hash = "sha256:43da0f0092281bf501f9c5f6f3b4c975a8a0ea82de49ba3f7100e64d422a1274"},
+    {file = "zstandard-0.23.0-cp39-cp39-win_amd64.whl", hash = "sha256:f8346bfa098532bc1fb6c7ef06783e969d87a99dd1d2a5a18a892c1d7a643c58"},
+    {file = "zstandard-0.23.0.tar.gz", hash = "sha256:b2d8c62d08e7255f68f7a740bae85b3c9b8e5466baa9cbf7f57f1cde0ac6bc09"},
 ]
 
 [package.dependencies]
@@ -3425,4 +3104,4 @@ standard-tests = ["modelgauge_standard_tests"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.10,<3.13"
-content-hash = "5ff73a571e0a33b61fd1bc0cde0198350dc7c0d8ab93352ac84a59d25769f518"
+content-hash = "31587fbba777a47a6561f4b39a4eb318c47d940c314943b6cd68506ad1c35815"
diff --git a/pyproject.toml b/pyproject.toml
index 2198e562..836fba58 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -59,7 +59,7 @@ scipy = "^1.12.0"
 retry = "^0.9.2"
 tabulate = "^0.9.0"
 
-zstandard = ">=0.18.0,<0.19.0"
+zstandard = "0.23.0"
 tqdm = ">=4.66.1"
 types-tqdm = "^4.66.0.0"
 pydantic = "^2.6.0"
@@ -67,11 +67,11 @@ sqlitedict = "^2.1.0"
 gdown = ">=5.1.0"
 tomli = "^2.0.1"
 typing-extensions = "^4.10.0"
-tenacity = "^8.3.0"
+tenacity = "^9.0.0"
 jsonlines = "^4.0.0"
 diskcache = "^5.6.3"
-starlette = "^0.37.2"
-fastapi = "^0.111.1"
+starlette = "^0.38.0"
+fastapi = "^0.115.0"
 together = "^1.2.3"
 modelgauge_demo_plugin = {version = "*", optional = false}
 modelgauge_standard_tests = {version = "*", optional = true}
@@ -95,6 +95,7 @@ black = "^24.3.0"
 beautifulsoup4 = "^4.12.3"
 flaky = "^3.8.1"
 types-beautifulsoup4 = "^4.12.0.20240229"
+httpx = "^0.27.2"
 
 [tool.poetry.extras]
 demo = ["modelgauge_demo_plugin"]
diff --git a/src/modelbench/benchmark_runner.py b/src/modelbench/benchmark_runner.py
index 184b557d..26a91756 100644
--- a/src/modelbench/benchmark_runner.py
+++ b/src/modelbench/benchmark_runner.py
@@ -14,7 +14,9 @@
 import diskcache
 from modelgauge.annotation import Annotation
 from modelgauge.annotator import CompletionAnnotator
+from modelgauge.annotator_registry import ANNOTATORS
 from modelgauge.base_test import PromptResponseTest, TestResult
+from modelgauge.config import raise_if_missing_from_config
 from modelgauge.dependency_helper import FromSourceDependencyHelper
 from modelgauge.pipeline import Source, Pipe, Sink, Pipeline, NullCache
 from modelgauge.records import TestRecord
@@ -179,6 +181,7 @@ def __init__(self, runner: "TestRunnerBase"):
         self.suts = runner.suts
         self.max_items = runner.max_items
         self.tests = []
+        self.test_annotators = {}
         self._test_lookup = {}
         self.run_tracker = runner.run_tracker
         self.completed_item_count = 0
@@ -192,6 +195,19 @@ def add_test(self, test: PromptResponseTest):
         wrapped = ModelgaugeTestWrapper(test, self.test_data_path)
         self.tests.append(wrapped)
         self._test_lookup[test] = wrapped
+        self._add_test_annotators(test)
+
+    def _add_test_annotators(self, test: PromptResponseTest):
+        # Check for missing secrets without instantiating any objects
+        missing_secrets = []
+        for annotator_uid in test.get_annotators():
+            missing_secrets.extend(ANNOTATORS.get_missing_dependencies(annotator_uid, secrets=self.secrets))
+        raise_if_missing_from_config(missing_secrets)
+
+        annotators = []
+        for annotator_uid in test.get_annotators():
+            annotators.append(ANNOTATORS.make_instance(annotator_uid, secrets=self.secrets))
+        self.test_annotators[test.uid] = annotators
 
     def add_finished_item(self, item: "TestRunItem"):
         if item.completion() and item.annotations and not item.exception:
@@ -209,6 +225,9 @@ def finished_items_for(self, sut, test) -> Sequence[TestItem]:
     def failed_items_for(self, sut, test) -> Sequence[TestItem]:
         return self.failed_items[sut.key][test.uid]
 
+    def annotators_for_test(self, test: PromptResponseTest) -> Sequence[CompletionAnnotator]:
+        return self.test_annotators[test.uid]
+
 
 class TestRun(TestRunBase):
     tests: list[ModelgaugeTestWrapper]
@@ -336,7 +355,7 @@ def handle_item(self, item: TestRunItem) -> TestRunItem:
         return item
 
     def collect_annotations(self, item):
-        for annotator_key, annotator in item.test.get_annotators().items():
+        for annotator in self.test_run.annotators_for_test(item.test):
             annotator_request = annotator.translate_request(item.prompt_with_context(), item.completion())
             cache_key = annotator_request.model_dump_json(exclude_none=True)
             self._debug(f"looking for {cache_key} in cache")
@@ -349,7 +368,7 @@ def collect_annotations(self, item):
                 self.cache[cache_key] = annotator_response
 
             annotation = annotator.translate_response(annotator_request, annotator_response)
-            item.annotations[annotator_key] = annotation
+            item.annotations[annotator.uid] = annotation
         item.test.measure_quality(item)
 
 
diff --git a/src/modelbench/suts.py b/src/modelbench/suts.py
index 265070ed..93cbb6a5 100644
--- a/src/modelbench/suts.py
+++ b/src/modelbench/suts.py
@@ -74,7 +74,6 @@ def _register_required_suts():
         "mistral-7b",
         "mixtral-8x-7b",
         "qwen-72b",
-        "stripedhyena-nous-7b",
     ]
 ]
 
diff --git a/src/modelgauge/annotators/llama_guard_annotator.py b/src/modelgauge/annotators/llama_guard_annotator.py
index fb24629c..e37149bf 100644
--- a/src/modelgauge/annotators/llama_guard_annotator.py
+++ b/src/modelgauge/annotators/llama_guard_annotator.py
@@ -323,7 +323,8 @@ def _make_llamaguard_mapping(llama_guard):
 
     text = sys.argv[1]
 
-    annotator = LlamaGuardAnnotator("lg2", TogetherApiKey.make(secrets))
+    annotator = ANNOTATORS.make_instance("llama_guard_2", secrets=secrets)
+    assert isinstance(annotator, LlamaGuardAnnotator)
     prompt = PromptWithContext(prompt=TextPrompt(text="not used"), source_id=None)
     completion = SUTCompletion(text=text)
     request = annotator.translate_request(prompt, completion)
diff --git a/src/modelgauge/api_server.py b/src/modelgauge/api_server.py
index 4d51f39b..763cd114 100644
--- a/src/modelgauge/api_server.py
+++ b/src/modelgauge/api_server.py
@@ -44,11 +44,13 @@
     for sut_uid in CHAT_MODELS.keys()
 }
 
-annotators: dict[str, CompletionAnnotator] = {
-    sut_uid: ANNOTATORS.make_instance(sut_uid, secrets=secrets)  # type:ignore
-    for sut_uid in [i[0] for i in ANNOTATORS.items()]
-}
-
+annotators: dict[str, CompletionAnnotator] = {}
+for annotator_uid in [i[0] for i in ANNOTATORS.items()]:
+    missing_secrets = ANNOTATORS.get_missing_dependencies(annotator_uid, secrets=secrets)
+    if not missing_secrets:
+        annotator = ANNOTATORS.make_instance(annotator_uid, secrets=secrets)
+        assert isinstance(annotator, CompletionAnnotator)
+        annotators[annotator_uid] = annotator
 print(f"got suts {suts} and annotators {annotators}")
 
 
diff --git a/src/modelgauge/base_test.py b/src/modelgauge/base_test.py
index d609feab..c15574a9 100644
--- a/src/modelgauge/base_test.py
+++ b/src/modelgauge/base_test.py
@@ -1,5 +1,4 @@
 from abc import ABC, abstractmethod
-from modelgauge.annotator import Annotator
 from modelgauge.dependency_helper import DependencyHelper
 from modelgauge.external_data import ExternalData
 from modelgauge.record_init import InitializationRecord
@@ -42,6 +41,15 @@ class PromptResponseTest(BaseTest, ABC):
     Concrete subclasses must implement every method in the interface.
     See `BaseTest` for more information regarding test implementation."""
 
+    @classmethod
+    @abstractmethod
+    def get_annotators(cls) -> List[str]:
+        """Return a list of annotators UIDs Test wants to run.
+
+        List can be empty.
+        """
+        pass
+
     @abstractmethod
     def get_dependencies(self) -> Mapping[str, ExternalData]:
         """Return a mapping of external dependency name to how it can be found downloaded."""
@@ -52,15 +60,6 @@ def make_test_items(self, dependency_helper: DependencyHelper) -> List[TestItem]
         """Generate all data that will eventually go to the SUT."""
         pass
 
-    @abstractmethod
-    def get_annotators(self) -> Mapping[str, Annotator]:
-        """Return a mapping of annotators this Test wants to run.
-
-        Mapping can be empty. Key can be any arbitrary string, and is used to denote
-        annotator responses in `measure_quality`.
-        """
-        pass
-
     @abstractmethod
     def measure_quality(self, item: TestItemAnnotations) -> Dict[str, float]:
         """Use the SUT responses with annotations to determine how well the SUT did on this TestItem."""
diff --git a/src/modelgauge/command_line.py b/src/modelgauge/command_line.py
index 4d716351..82f5ff26 100644
--- a/src/modelgauge/command_line.py
+++ b/src/modelgauge/command_line.py
@@ -5,6 +5,7 @@
 import click
 from modelgauge.config import write_default_config
 from modelgauge.load_plugins import load_plugins
+from modelgauge.prompt import SUTOptions
 
 
 @click.group(name="modelgauge")
@@ -62,3 +63,32 @@ def load_local_plugins(_, __, path: pathlib.Path):
     callback=load_local_plugins,
     expose_value=False,
 )
+
+MAX_TOKENS_OPTION = click.option(
+    "--max-tokens", default=None, type=click.IntRange(1), help="How many tokens to generate for each completion."
+)
+TEMP_OPTION = click.option("--temp", default=None, type=float, help="SUT temperature value.")
+TOP_P_OPTION = click.option("--top-p", default=None, type=float, help="SUT top-p value.")
+TOP_K_OPTION = click.option("--top-k", default=None, type=int, help="SUT top-k value.")
+
+
+def sut_options_options(func):
+    """Adds various SUT options to a command."""
+    func = MAX_TOKENS_OPTION(func)
+    func = TEMP_OPTION(func)
+    func = TOP_P_OPTION(func)
+    func = TOP_K_OPTION(func)
+    return func
+
+
+def create_sut_options(max_tokens, temp, top_p, top_k):
+    options = SUTOptions()
+    if max_tokens is not None:
+        options.max_tokens = max_tokens
+    if temp is not None:
+        options.temperature = temp
+    if top_p is not None:
+        options.top_p = top_p
+    if top_k is not None:
+        options.top_k_per_token = top_k
+    return options
diff --git a/src/modelgauge/default_annotator_set.py b/src/modelgauge/default_annotator_set.py
index a9548a67..c1704ff2 100644
--- a/src/modelgauge/default_annotator_set.py
+++ b/src/modelgauge/default_annotator_set.py
@@ -1,22 +1,15 @@
-from typing import Any, Dict
+from typing import Any, Dict, List
 
-from modelgauge.annotator import Annotator
 from modelgauge.annotator_set import AnnotatorSet
-from modelgauge.annotators.llama_guard_annotator import (
-    LlamaGuardAnnotation,
-    LlamaGuardAnnotator,
-    LlamaGuardVersion,
-)
+from modelgauge.annotators.llama_guard_annotator import LlamaGuardAnnotation
 from modelgauge.auth.together_key import TogetherApiKey
-from modelgauge.single_turn_prompt_response import (
-    TestItemAnnotations,
-)
+from modelgauge.secret_values import InjectSecret
+from modelgauge.single_turn_prompt_response import TestItemAnnotations
 
 
 class DefaultAnnotatorSet(AnnotatorSet):
 
-    ANNOTATOR_NAME = "llama_guard_2"
-    annotators: dict[str, Annotator] = {}
+    annotators: List[str] = ["llama_guard_2"]
     secrets: dict[str, Any] = {}
 
     required_secret_types = {
@@ -25,19 +18,15 @@ class DefaultAnnotatorSet(AnnotatorSet):
 
     def __init__(self, secrets):
         self.secrets = secrets
-        self._load_annotators()
-
-    def _load_annotators(self):
-        self.annotators[DefaultAnnotatorSet.ANNOTATOR_NAME] = LlamaGuardAnnotator(
-            DefaultAnnotatorSet.ANNOTATOR_NAME,
-            self.secrets["together_api_key"],
-            llama_guard_version=LlamaGuardVersion.VERSION_2,
-        )
 
     def evaluate(self, item: TestItemAnnotations) -> Dict[str, float]:
         annotation = (
             item.interactions[0]
             .response.completions[0]
-            .get_annotation(DefaultAnnotatorSet.ANNOTATOR_NAME, LlamaGuardAnnotation)
+            .get_annotation(DefaultAnnotatorSet.annotators[0], LlamaGuardAnnotation)
         )
         return {"is_safe": float(annotation.is_safe)}
+
+
+injectable_secrets = {k: InjectSecret(v) for k, v in DefaultAnnotatorSet.required_secret_types.items()}
+DEFAULT_ANNOTATOR_SET = DefaultAnnotatorSet(secrets=injectable_secrets)
diff --git a/src/modelgauge/instance_factory.py b/src/modelgauge/instance_factory.py
index bfda923a..13b44b90 100644
--- a/src/modelgauge/instance_factory.py
+++ b/src/modelgauge/instance_factory.py
@@ -91,3 +91,8 @@ def items(self) -> List[Tuple[str, FactoryEntry[_T]]]:
         """List all items in the registry."""
         with self.lock:
             return list(self._lookup.items())
+
+    def keys(self) -> List[str]:
+        """List all keys in the registry."""
+        with self.lock:
+            return list(self._lookup.keys())
diff --git a/src/modelgauge/main.py b/src/modelgauge/main.py
index fd219c66..73158e41 100644
--- a/src/modelgauge/main.py
+++ b/src/modelgauge/main.py
@@ -2,8 +2,10 @@
 import datetime
 import os
 import pathlib
+import warnings
 from typing import List, Optional
 
+from modelgauge.annotator import CompletionAnnotator
 from modelgauge.annotator_registry import ANNOTATORS
 from modelgauge.base_test import PromptResponseTest
 from modelgauge.command_line import (
@@ -11,9 +13,11 @@
     LOCAL_PLUGIN_DIR_OPTION,
     MAX_TEST_ITEMS_OPTION,
     SUT_OPTION,
+    create_sut_options,
     display_header,
     display_list_item,
     modelgauge_cli,
+    sut_options_options,
 )
 from modelgauge.config import (
     load_secrets_from_config,
@@ -29,7 +33,7 @@
     PromptPlusAnnotatorRunner,
     PromptRunner,
 )
-from modelgauge.prompt import SUTOptions, TextPrompt
+from modelgauge.prompt import TextPrompt
 from modelgauge.secret_values import MissingSecretValues, RawSecrets, get_all_secrets
 from modelgauge.simple_test_runner import run_prompt_response_test
 from modelgauge.sut import PromptResponseSUT
@@ -118,6 +122,7 @@ def list_secrets() -> None:
 @modelgauge_cli.command()
 @LOCAL_PLUGIN_DIR_OPTION
 @SUT_OPTION
+@sut_options_options
 @click.option("--prompt", help="The full text to send to the SUT.")
 @click.option(
     "--num-completions",
@@ -125,12 +130,6 @@ def list_secrets() -> None:
     type=click.IntRange(1),
     help="How many different completions to generation.",
 )
-@click.option(
-    "--max-tokens",
-    default=None,
-    type=click.IntRange(1),
-    help="How many tokens to generate for each completion.",
-)
 @click.option(
     "--top-logprobs",
     type=click.IntRange(1),
@@ -141,7 +140,10 @@ def run_sut(
     prompt: str,
     num_completions: Optional[int],
     max_tokens: Optional[int],
+    temp: Optional[float],
     top_logprobs: Optional[int],
+    top_p: Optional[float],
+    top_k: Optional[int],
 ):
     """Send a prompt from the command line to a SUT."""
     secrets = load_secrets_from_config()
@@ -153,13 +155,12 @@ def run_sut(
     # Current this only knows how to do prompt response, so assert that is what we have.
     assert isinstance(sut_obj, PromptResponseSUT)
 
-    options = SUTOptions()
+    options = create_sut_options(max_tokens, temp, top_p, top_k)
     if num_completions:
         options.num_completions = num_completions
-    if max_tokens:
-        options.max_tokens = max_tokens
     if top_logprobs:
         options.top_logprobs = top_logprobs
+    print(options)
     prompt_obj = TextPrompt(text=prompt, options=options)
     request = sut_obj.translate_text_prompt(prompt_obj)
     click.echo(f"Native request: {request}\n")
@@ -205,9 +206,14 @@ def run_test(
     """Run the Test on the desired SUT and output the TestRecord."""
     secrets = load_secrets_from_config()
     # Check for missing secrets without instantiating any objects
+    test_cls = TESTS._get_entry(test).cls
+    annotators = test_cls.get_annotators()
+
     missing_secrets: List[MissingSecretValues] = []
     missing_secrets.extend(TESTS.get_missing_dependencies(test, secrets=secrets))
     missing_secrets.extend(SUTS.get_missing_dependencies(sut, secrets=secrets))
+    for annotator in annotators:
+        missing_secrets.extend(ANNOTATORS.get_missing_dependencies(annotator, secrets=secrets))
     raise_if_missing_from_config(missing_secrets)
 
     test_obj = TESTS.make_instance(test, secrets=secrets)
@@ -217,12 +223,19 @@ def run_test(
     assert isinstance(sut_obj, PromptResponseSUT)
     assert isinstance(test_obj, PromptResponseTest)
 
+    annotator_objs = []
+    for annotator in annotators:
+        obj = ANNOTATORS.make_instance(annotator, secrets=secrets)
+        assert isinstance(obj, CompletionAnnotator)
+        annotator_objs.append(obj)
+
     if output_file is None:
         os.makedirs("output", exist_ok=True)
         output_file = os.path.join("output", normalize_filename(f"record_for_{test}_{sut}.json"))
     test_record = run_prompt_response_test(
         test_obj,
         sut_obj,
+        annotator_objs,
         data_dir,
         max_test_items,
         use_caching=not no_caching,
@@ -237,6 +250,7 @@ def run_test(
 
 
 @modelgauge_cli.command()
+@sut_options_options
 @click.option(
     "sut_uids",
     "-s",
@@ -270,7 +284,7 @@ def run_test(
     "input_path",
     type=click.Path(exists=True, path_type=pathlib.Path),
 )
-def run_csv_items(sut_uids, annotator_uids, workers, cache_dir, debug, input_path):
+def run_csv_items(sut_uids, annotator_uids, workers, cache_dir, debug, input_path, max_tokens, temp, top_p, top_k):
     """Run rows in a CSV through some SUTs and/or annotators.
 
     If running SUTs, the file must have 'UID' and 'Text' columns. The output will be saved to a CSV file.
@@ -301,6 +315,10 @@ def run_csv_items(sut_uids, annotator_uids, workers, cache_dir, debug, input_pat
         print(f"Creating cache dir {cache_dir}")
         cache_dir.mkdir(exist_ok=True)
 
+    # Get all SUT options
+    sut_options = create_sut_options(max_tokens, temp, top_p, top_k)
+    print(sut_options)
+
     # Create correct pipeline runner based on input.
     timestamp = datetime.datetime.now().strftime("%Y%m%d-%H%M%S")
     if suts and annotators:
@@ -310,13 +328,16 @@ def run_csv_items(sut_uids, annotator_uids, workers, cache_dir, debug, input_pat
             input_path,
             output_path,
             cache_dir,
+            sut_options,
             suts=suts,
             annotators=annotators,
         )
     elif suts:
         output_path = input_path.parent / pathlib.Path(input_path.stem + "-responses-" + timestamp + ".csv")
-        pipeline_runner = PromptRunner(workers, input_path, output_path, cache_dir, suts=suts)
+        pipeline_runner = PromptRunner(workers, input_path, output_path, cache_dir, sut_options, suts=suts)
     elif annotators:
+        if max_tokens is not None or temp is not None or top_p is not None or top_k is not None:
+            warnings.warn(f"Received SUT options but only running annotators. Options will not be used.")
         output_path = input_path.parent / pathlib.Path(input_path.stem + "-annotations-" + timestamp + ".jsonl")
         pipeline_runner = AnnotatorRunner(workers, input_path, output_path, cache_dir, annotators=annotators)
     else:
diff --git a/src/modelgauge/pipeline_runner.py b/src/modelgauge/pipeline_runner.py
index d81922fc..42177c41 100644
--- a/src/modelgauge/pipeline_runner.py
+++ b/src/modelgauge/pipeline_runner.py
@@ -20,11 +20,12 @@
 
 
 class PipelineRunner(ABC):
-    def __init__(self, num_workers, input_path, output_path, cache_dir):
+    def __init__(self, num_workers, input_path, output_path, cache_dir, sut_options=None):
         self.num_workers = num_workers
         self.input_path = input_path
         self.output_path = output_path
         self.cache_dir = cache_dir
+        self.sut_options = sut_options
         self.pipeline_segments = []
 
         self._initialize_segments()
@@ -56,7 +57,7 @@ def _initialize_segments(self):
         pass
 
     def _add_prompt_segments(self, suts, include_sink=True):
-        input = CsvPromptInput(self.input_path)
+        input = CsvPromptInput(self.input_path, self.sut_options)
         self.pipeline_segments.append(PromptSource(input))
         self.pipeline_segments.append(PromptSutAssigner(suts))
         self.pipeline_segments.append(PromptSutWorkers(suts, self.num_workers, cache_path=self.cache_dir))
diff --git a/src/modelgauge/private_ensemble_annotator_set.py b/src/modelgauge/private_ensemble_annotator_set.py
index f2b7d934..3a4604f1 100644
--- a/src/modelgauge/private_ensemble_annotator_set.py
+++ b/src/modelgauge/private_ensemble_annotator_set.py
@@ -1,11 +1,12 @@
 import os
-from typing import Dict, Any
+from typing import Any, Dict, List
 
-from modelgauge.annotator import Annotator
+from modelgauge.annotator_registry import ANNOTATORS
 from modelgauge.annotator_set import AnnotatorSet
 from modelgauge.auth.huggingface_inference_token import HuggingFaceInferenceToken
 from modelgauge.auth.together_key import TogetherApiKey
 from modelgauge.auth.vllm_key import VllmApiKey
+from modelgauge.secret_values import InjectSecret
 from modelgauge.single_turn_prompt_response import TestItemAnnotations
 
 try:
@@ -38,7 +39,7 @@
 
 class EnsembleAnnotatorSet(AnnotatorSet):
 
-    annotators: dict[str, Annotator] = {}
+    annotators: List[str] = []
     secrets: dict[str, Any] = {}
 
     required_secret_types = {
@@ -52,20 +53,23 @@ def __init__(self, secrets):
         self.__configure_vllm_annotators()
         self.__configure_huggingface_annotators()
         self.__configure_together_annotators()
-        self._load_annotators()
+        self._register_annotators()
 
-    def _load_annotators(self):
-        self.annotators = {
-            MISTRAL_8x22B_CONFIG.name: PromptEngineeredAnnotator(
-                uid=MISTRAL_8x22B_CONFIG.name, config=MISTRAL_8x22B_CONFIG
-            ),
-            LLAMA_3_70B_CONFIG.name: PromptEngineeredAnnotator(uid=LLAMA_3_70B_CONFIG.name, config=LLAMA_3_70B_CONFIG),
-            LG2_LORA_CONFIG.name: LlamaGuard2LoRAAnnotator(uid=LG2_LORA_CONFIG.name, config=LG2_LORA_CONFIG),
-            WILDGUARD_ANNOTATOR_CONFIG.name: WildguardAnnotator(
-                uid=WILDGUARD_ANNOTATOR_CONFIG.name,
-                config=WILDGUARD_ANNOTATOR_CONFIG,
-            ),
-        }
+    def _register_annotators(self):
+        # TODO: Register annotators in secret repo.
+        ANNOTATORS.register(
+            PromptEngineeredAnnotator(uid=MISTRAL_8x22B_CONFIG.name, config=MISTRAL_8x22B_CONFIG),
+        )
+        ANNOTATORS.register(PromptEngineeredAnnotator(uid=LLAMA_3_70B_CONFIG.name, config=LLAMA_3_70B_CONFIG))
+        ANNOTATORS.register(LlamaGuard2LoRAAnnotator(uid=LG2_LORA_CONFIG.name, config=LG2_LORA_CONFIG))
+        ANNOTATORS.register(WildguardAnnotator(uid=WILDGUARD_ANNOTATOR_CONFIG.name, config=WILDGUARD_ANNOTATOR_CONFIG))
+
+        self.annotators = [
+            MISTRAL_8x22B_CONFIG.name,
+            LLAMA_3_70B_CONFIG.name,
+            LG2_LORA_CONFIG.name,
+            WILDGUARD_ANNOTATOR_CONFIG.name,
+        ]
 
     def __configure_vllm_annotators(self):
         self.secrets["vllm_endpoint_url"] = os.environ.get("VLLM_ENDPOINT_URL", "")
@@ -84,8 +88,11 @@ def __configure_together_annotators(self):
     def evaluate(self, item: TestItemAnnotations) -> Dict[str, float]:
         annotated_completion = item.interactions[0].response.completions[0]
         individual_annotations = [
-            annotated_completion.get_annotation(annotator_id, SafetyModelResponse)
-            for annotator_id in self.annotators.keys()
+            annotated_completion.get_annotation(annotator_id, SafetyModelResponse) for annotator_id in self.annotators
         ]
         annotation = EnsembleAnnotator.simple_join_evaluator_responses(individual_annotations)
         return {"is_safe": float(annotation.is_safe)}
+
+
+injectable_secrets = {k: InjectSecret(v) for k, v in EnsembleAnnotatorSet.required_secret_types.items()}  # type: ignore
+PRIVATE_ANNOTATOR_SET = EnsembleAnnotatorSet(secrets=injectable_secrets)
diff --git a/src/modelgauge/prompt_pipeline.py b/src/modelgauge/prompt_pipeline.py
index 5ff3079c..1a70e213 100644
--- a/src/modelgauge/prompt_pipeline.py
+++ b/src/modelgauge/prompt_pipeline.py
@@ -2,10 +2,10 @@
 from abc import abstractmethod, ABCMeta
 from collections import defaultdict
 from dataclasses import dataclass
-from typing import Iterable
+from typing import Iterable, Optional
 
 from modelgauge.pipeline import Source, Pipe, Sink, CachingPipe
-from modelgauge.prompt import TextPrompt
+from modelgauge.prompt import SUTOptions, TextPrompt
 from modelgauge.single_turn_prompt_response import PromptWithContext
 from modelgauge.sut import PromptResponseSUT, SUT, SUTCompletion
 
@@ -41,9 +41,10 @@ def __len__(self):
 
 
 class CsvPromptInput(PromptInput):
-    def __init__(self, path):
+    def __init__(self, path, sut_options: Optional[SUTOptions] = None):
         super().__init__()
         self.path = path
+        self.sut_options = SUTOptions() if sut_options is None else sut_options
         self._validate_file()
 
     def __iter__(self) -> Iterable[PromptWithContext]:
@@ -51,7 +52,7 @@ def __iter__(self) -> Iterable[PromptWithContext]:
             csvreader = csv.DictReader(f)
             for row in csvreader:
                 yield PromptWithContext(
-                    prompt=TextPrompt(text=row["Text"]),
+                    prompt=TextPrompt(text=row["Text"], options=self.sut_options),
                     # Forward the underlying id to help make data tracking easier.
                     source_id=row["UID"],
                     # Context can be any type you want.
diff --git a/src/modelgauge/simple_test_runner.py b/src/modelgauge/simple_test_runner.py
index 15fa3ee7..37cee8c4 100644
--- a/src/modelgauge/simple_test_runner.py
+++ b/src/modelgauge/simple_test_runner.py
@@ -22,12 +22,13 @@
 from modelgauge.sut_decorator import assert_is_sut
 from modelgauge.test_decorator import assert_is_test
 from tqdm import tqdm
-from typing import List, Optional
+from typing import Dict, List, Optional
 
 
 def run_prompt_response_test(
     test: PromptResponseTest,
     sut: PromptResponseSUT,
+    annotators: List[CompletionAnnotator],
     data_dir: str,
     max_test_items: Optional[int] = None,
     use_caching: bool = True,
@@ -42,6 +43,7 @@ def run_prompt_response_test(
     # Ensure we can record what these objects are
     test_initialization = test.initialization_record
     sut_initialization = sut.initialization_record
+    # TODO: Add annotator initialization records
     test_data_path = os.path.join(data_dir, "tests", test.__class__.__name__)
 
     sut_cache: Cache
@@ -49,15 +51,14 @@ def run_prompt_response_test(
         sut_cache = SqlDictCache(os.path.join(data_dir, "suts"), sut.uid)
     else:
         sut_cache = NoCache()
-    annotators = []
-    for key, annotator in test.get_annotators().items():
+    annotator_caches = {}
+    for annotator in annotators:
         annotator_cache: Cache
         if use_caching:
-            annotator_cache = SqlDictCache(os.path.join(test_data_path, "annotators"), key)
+            annotator_cache = SqlDictCache(os.path.join(test_data_path, "annotators"), annotator.uid)
         else:
             annotator_cache = NoCache()
-        assert isinstance(annotator, CompletionAnnotator), "Only know how to do CompletionAnnotator."
-        annotators.append(AnnotatorData(key, annotator, annotator_cache))
+        annotator_caches[annotator.uid] = annotator_cache
 
     # This runner just records versions, it doesn't specify a required version.
     dependency_helper = FromSourceDependencyHelper(
@@ -80,7 +81,7 @@ def run_prompt_response_test(
     desc = f"Processing TestItems for test={test.uid} sut={sut.uid}"
     for test_item in tqdm(test_items, desc=desc, disable=disable_progress_bar):
         try:
-            test_item_record = _process_test_item(test_item, test, sut, sut_cache, annotators)
+            test_item_record = _process_test_item(test_item, test, sut, sut_cache, annotators, annotator_caches)
             test_item_records.append(test_item_record)
             measured_test_items.append(
                 MeasuredTestItem(
@@ -109,21 +110,13 @@ def run_prompt_response_test(
     )
 
 
-class AnnotatorData:
-    """Container to hold data about an annotator."""
-
-    def __init__(self, key: str, annotator: CompletionAnnotator, cache: Cache):
-        self.key = key
-        self.annotator = annotator
-        self.cache = cache
-
-
 def _process_test_item(
     item: TestItem,
     test: PromptResponseTest,
     sut: PromptResponseSUT,
     sut_cache: Cache,
-    annotators: List[AnnotatorData],
+    annotators: List[CompletionAnnotator],
+    annotator_caches: Dict[str, Cache],
 ) -> TestItemRecord:
     interactions: List[PromptInteractionAnnotations] = []
     for prompt in item.prompts:
@@ -141,10 +134,9 @@ def _process_test_item(
         annotated_completions: List[SUTCompletionAnnotations] = []
         for completion in response.completions:
             annotations = {}
-            for annotator_data in annotators:
-                annotator = annotator_data.annotator
+            for annotator in annotators:
                 try:
-                    with annotator_data.cache as cache:
+                    with annotator_caches[annotator.uid] as cache:
                         annotator_request = annotator.translate_request(prompt, completion)
                         annotator_response = cache.get_cached_response(annotator_request)
                         if not annotator_response:
@@ -153,10 +145,10 @@ def _process_test_item(
                         cache.update_cache(annotator_request, annotator_response)
                 except Exception as e:
                     raise TestItemError(
-                        f"Exception while handling annotation for {annotator_data.key} on `{completion}`"
+                        f"Exception while handling annotation for {annotator.uid} on `{completion}`"
                     ) from e
 
-                annotations[annotator_data.key] = Annotation.from_instance(annotation)
+                annotations[annotator.uid] = Annotation.from_instance(annotation)
             annotated_completions.append(SUTCompletionAnnotations(completion=completion, annotations=annotations))
         interactions.append(
             PromptInteractionAnnotations(
diff --git a/src/modelgauge/tests/safe.py b/src/modelgauge/tests/safe.py
index bfabfc18..f184ecc4 100644
--- a/src/modelgauge/tests/safe.py
+++ b/src/modelgauge/tests/safe.py
@@ -21,17 +21,11 @@
 from typing import Dict, List, Mapping
 
 from modelgauge.aggregations import get_measurement_stats_by_key
-from modelgauge.annotator import Annotator
-from modelgauge.annotators.llama_guard_annotator import (
-    LlamaGuardAnnotation,
-    LlamaGuardAnnotator,
-    LlamaGuardVersion,
-)
+from modelgauge.annotators.llama_guard_annotator import LlamaGuardAnnotation
 from modelgauge.base_test import PromptResponseTest
 from modelgauge.dependency_helper import DependencyHelper
 from modelgauge.external_data import ExternalData, WebData
 from modelgauge.prompt import SUTOptions, TextPrompt
-from modelgauge.secret_values import InjectSecret
 from modelgauge.single_turn_prompt_response import (
     MeasuredTestItem,
     PromptWithContext,
@@ -39,7 +33,6 @@
     TestItemAnnotations,
 )
 from modelgauge.sut_capabilities import AcceptsTextPrompt
-from modelgauge.suts.together_client import TogetherApiKey
 from modelgauge.test_decorator import modelgauge_test
 from modelgauge.test_registry import TESTS
 
@@ -88,21 +81,17 @@ def __init__(
         uid: str,
         hazard: str,
         folder_name: str,
-        together_api_key: TogetherApiKey,
         persona_types: List[SafePersonas],
-        llama_guard_version: LlamaGuardVersion = LlamaGuardVersion.VERSION_2,
     ):
         super().__init__(uid)
         assert hazard in self.hazards, f"Invalid hazard type {hazard}."
         self.hazard = hazard
         self.folder_name = folder_name
-        self.together_api_key = together_api_key
         assert len(persona_types), "At least one persona type must be specified."
         assert len(set(persona_types)) == len(
             persona_types
         ), f"Must specify a unique set of persona types, but got {persona_types}"
         self.persona_types = persona_types
-        self.llama_guard_version = llama_guard_version
 
     def _persona_dependency_key(self, persona: SafePersonas) -> str:
         return f"{self.folder_name}_{self.hazard}_{persona.value}"
@@ -146,18 +135,13 @@ def make_test_items(self, dependency_helper: DependencyHelper) -> List[TestItem]
                     )
         return test_items
 
-    def get_annotators(self) -> Mapping[str, Annotator]:
-        return {
-            "llama_guard": LlamaGuardAnnotator(
-                "llama_guard",
-                self.together_api_key,
-                llama_guard_version=self.llama_guard_version,
-            )
-        }
+    @classmethod
+    def get_annotators(cls) -> List[str]:
+        return ["llama_guard_2"]
 
     def measure_quality(self, item: TestItemAnnotations) -> Dict[str, float]:
         llama_guard_completion = (
-            item.interactions[0].response.completions[0].get_annotation("llama_guard", LlamaGuardAnnotation)
+            item.interactions[0].response.completions[0].get_annotation("llama_guard_2", LlamaGuardAnnotation)
         )
         return {"is_safe": float(llama_guard_completion.is_safe)}
 
@@ -180,14 +164,12 @@ def aggregate_measurements(self, items: List[MeasuredTestItem]) -> SafeTestResul
 
 
 FOLDER_NAME = "data_04apr2024"
-API_KEY_SECRET = InjectSecret(TogetherApiKey)
 
 TESTS.register(
     SafeTest,
     "safe-cae",
     "cae",
     FOLDER_NAME,
-    API_KEY_SECRET,
     persona_types=[SafePersonas.TYPICAL, SafePersonas.MALICIOUS],
 )
 TESTS.register(
@@ -195,7 +177,6 @@ def aggregate_measurements(self, items: List[MeasuredTestItem]) -> SafeTestResul
     "safe-cbr",
     "cbr",
     FOLDER_NAME,
-    API_KEY_SECRET,
     persona_types=[SafePersonas.TYPICAL, SafePersonas.MALICIOUS],
 )
 TESTS.register(
@@ -203,7 +184,6 @@ def aggregate_measurements(self, items: List[MeasuredTestItem]) -> SafeTestResul
     "safe-hat",
     "hat",
     FOLDER_NAME,
-    API_KEY_SECRET,
     persona_types=[SafePersonas.TYPICAL, SafePersonas.MALICIOUS],
 )
 TESTS.register(
@@ -211,7 +191,6 @@ def aggregate_measurements(self, items: List[MeasuredTestItem]) -> SafeTestResul
     "safe-nvc",
     "nvc",
     FOLDER_NAME,
-    API_KEY_SECRET,
     persona_types=[SafePersonas.TYPICAL, SafePersonas.MALICIOUS],
 )
 TESTS.register(
@@ -219,7 +198,6 @@ def aggregate_measurements(self, items: List[MeasuredTestItem]) -> SafeTestResul
     "safe-scr",
     "scr",
     FOLDER_NAME,
-    API_KEY_SECRET,
     persona_types=[SafePersonas.TYPICAL, SafePersonas.MALICIOUS],
 )
 TESTS.register(
@@ -227,7 +205,6 @@ def aggregate_measurements(self, items: List[MeasuredTestItem]) -> SafeTestResul
     "safe-ssh",
     "ssh",
     FOLDER_NAME,
-    API_KEY_SECRET,
     persona_types=[SafePersonas.TYPICAL, SafePersonas.VULNERABLE],
 )
 TESTS.register(
@@ -235,6 +212,5 @@ def aggregate_measurements(self, items: List[MeasuredTestItem]) -> SafeTestResul
     "safe-vcr",
     "vcr",
     FOLDER_NAME,
-    API_KEY_SECRET,
     persona_types=[SafePersonas.TYPICAL, SafePersonas.MALICIOUS],
 )
diff --git a/src/modelgauge/tests/safe_v1.py b/src/modelgauge/tests/safe_v1.py
index 6d24a36c..e3cdd44e 100644
--- a/src/modelgauge/tests/safe_v1.py
+++ b/src/modelgauge/tests/safe_v1.py
@@ -1,31 +1,27 @@
 import csv
-import warnings
+from abc import ABC
 from enum import Enum
 from typing import Dict, List, Mapping
 
 from modelgauge.aggregations import get_measurement_stats_by_key
-from modelgauge.annotator import Annotator
+from modelgauge.annotator_set import AnnotatorSet
 from modelgauge.base_test import PromptResponseTest
-from modelgauge.default_annotator_set import DefaultAnnotatorSet
+from modelgauge.default_annotator_set import DEFAULT_ANNOTATOR_SET
 from modelgauge.dependency_helper import DependencyHelper
 from modelgauge.external_data import ExternalData, WebData
 from modelgauge.prompt import SUTOptions, TextPrompt
-from modelgauge.secret_values import InjectSecret
 from modelgauge.single_turn_prompt_response import MeasuredTestItem, PromptWithContext, TestItem, TestItemAnnotations
 from modelgauge.sut_capabilities import AcceptsTextPrompt
 from modelgauge.test_decorator import modelgauge_test
 from modelgauge.test_registry import TESTS
 from modelgauge.tests.safe import PersonaResult, SafeTestItemContext, SafeTestResult
 
-# TODO obtain the most current file list from modellab
-PROMPT_FILE_VERSION = "09192024"
-
 
 class Locale(str, Enum):
-    EN_US = "EN_US"  # English, United States
-    FR_FR = "FR_FR"  # French, France
-    ZH_CN = "ZH_CN"  # Simplified Chinese, China
-    HI_IN = "HI_IN"  # Hindi, India
+    EN_US = "en_US"  # English, United States
+    FR_FR = "fr_FR"  # French, France
+    ZH_CN = "zh_CN"  # Simplified Chinese, China
+    HI_IN = "hi_IN"  # Hindi, India
 
 
 class SafePersonasVersion1(str, Enum):
@@ -34,10 +30,10 @@ class SafePersonasVersion1(str, Enum):
     UNSKILLED = "unskilled"
 
 
-@modelgauge_test(requires_sut_capabilities=[AcceptsTextPrompt])
-class SafeTestVersion1(PromptResponseTest):
+class BaseSafeTestVersion1(PromptResponseTest, ABC):
     """Version 1.0 of SAFE test. This version is still a work in progress and subject to change.
 
+    Concrete tests must set class attribute `annotators`.
     Assumptions about working group deliverables:
     - Prompt files:
         - Filename format:
@@ -82,16 +78,10 @@ class SafeTestVersion1(PromptResponseTest):
         "ssh",
         "sxc",
     ]
+    annotators: AnnotatorSet
 
-    def __init__(
-        self,
-        uid: str,
-        hazard: str,
-        locale: Locale,
-        persona_types: List[SafePersonasVersion1],
-        annotator_class: None,
-        **kwargs,
-    ):
+    def __init__(self, uid: str, hazard: str, locale: Locale, persona_types: List[SafePersonasVersion1]):
+        self._check_annotators()
         super().__init__(uid)
         assert hazard in self.hazards, f"Invalid hazard type {hazard}."
         self.hazard = hazard
@@ -101,11 +91,15 @@ def __init__(
             persona_types
         ), f"Must specify a unique set of persona types, but got {persona_types}"
         self.persona_types = persona_types
-        self.annotators = annotator_class(secrets=kwargs)  # type: ignore
+
+    @classmethod
+    def _check_annotators(cls):
+        """Check that the annotator set is defined."""
+        if not hasattr(cls, "annotators") or cls.annotators is None:
+            raise NotImplementedError("Concrete SafeTestVersion1 classes must set class-attribute `annotators`.")
 
     def _get_prompt_set_names(self):
-        # TODO: Get all filenames with this test's hazard from modellab.
-        return [f"safetest_{self.hazard}_{PROMPT_FILE_VERSION}"]
+        return ["all_practice_skilled_unskilled"]
 
     def get_dependencies(self) -> Mapping[str, ExternalData]:
         modellab_base_download_url = "https://ai-safety-dev.uc.r.appspot.com/files/download"
@@ -115,8 +109,10 @@ def get_dependencies(self) -> Mapping[str, ExternalData]:
             dependencies[prompt_set] = WebData(source_url=f"{modellab_base_download_url}/{prompt_set}.csv")
         return dependencies
 
-    def get_annotators(self) -> Mapping[str, Annotator]:
-        return self.annotators.annotators
+    @classmethod
+    def get_annotators(cls) -> List[str]:
+        cls._check_annotators()
+        return cls.annotators.annotators
 
     def make_test_items(self, dependency_helper: DependencyHelper) -> List[TestItem]:
         sut_options = SUTOptions(
@@ -134,13 +130,10 @@ def make_test_items(self, dependency_helper: DependencyHelper) -> List[TestItem]
                         continue
 
                     # Check that prompt is for correct hazard/persona/locale.
-                    file_hazard = row["hazard"]
+                    hazard = row["hazard"].split("_")[0]
                     persona = SafePersonasVersion1(row["persona"])
                     locale = Locale(row["locale"])
-                    if not file_hazard == self.hazard:
-                        warnings.warn(
-                            f"{self.__class__.__name__}: Expected {data_file} to have {self.hazard}, but had {file_hazard}."
-                        )
+                    if not hazard == self.hazard:
                         continue
                     if persona not in self.persona_types:
                         continue
@@ -180,6 +173,11 @@ def aggregate_measurements(self, items: List[MeasuredTestItem]) -> SafeTestResul
         return SafeTestResult(persona_results=persona_results)
 
 
+@modelgauge_test(requires_sut_capabilities=[AcceptsTextPrompt])
+class SafeTestVersion1(BaseSafeTestVersion1):
+    annotators = DEFAULT_ANNOTATOR_SET
+
+
 ALL_PERSONAS = [
     SafePersonasVersion1.NORMAL,
     SafePersonasVersion1.SKILLED,
@@ -192,7 +190,6 @@ def aggregate_measurements(self, items: List[MeasuredTestItem]) -> SafeTestResul
 
 
 # default llama guard annotator, always
-injectable_secrets = {k: InjectSecret(v) for k, v in DefaultAnnotatorSet.required_secret_types.items()}
 for hazard in SafeTestVersion1.hazards:
     TESTS.register(
         SafeTestVersion1,
@@ -200,22 +197,22 @@ def aggregate_measurements(self, items: List[MeasuredTestItem]) -> SafeTestResul
         hazard,
         Locale.EN_US,
         ALL_PERSONAS,
-        annotator_class=DefaultAnnotatorSet,
-        **injectable_secrets,
     )
 
 # private annotators, if available
 try:
-    from modelgauge.private_ensemble_annotator_set import EnsembleAnnotatorSet
+    from modelgauge.private_ensemble_annotator_set import PRIVATE_ANNOTATOR_SET
 
     register_private = True
 except:
     register_private = False
 
 if register_private:
-    injectable_secrets = {
-        k: InjectSecret(v) for k, v in EnsembleAnnotatorSet.required_secret_types.items()  # type: ignore
-    }
+
+    @modelgauge_test(requires_sut_capabilities=[AcceptsTextPrompt])
+    class PrivateSafeTestVersion1(BaseSafeTestVersion1):
+        annotators = PRIVATE_ANNOTATOR_SET
+
     for hazard in SafeTestVersion1.hazards:
         TESTS.register(
             SafeTestVersion1,
@@ -223,6 +220,4 @@ def aggregate_measurements(self, items: List[MeasuredTestItem]) -> SafeTestResul
             hazard,
             Locale.EN_US,
             ALL_PERSONAS,
-            annotator_class=EnsembleAnnotatorSet,
-            **injectable_secrets,
         )
diff --git a/tests/modelbench_tests/test_benchmark_runner.py b/tests/modelbench_tests/test_benchmark_runner.py
index 1637a897..0d43d770 100644
--- a/tests/modelbench_tests/test_benchmark_runner.py
+++ b/tests/modelbench_tests/test_benchmark_runner.py
@@ -3,8 +3,7 @@
 from unittest.mock import MagicMock
 
 import pytest
-from modelgauge.annotator import Annotator
-from modelgauge.annotator_registry import ANNOTATORS
+
 from modelgauge.annotators.demo_annotator import DemoYBadAnnotation, DemoYBadAnnotator
 from modelgauge.annotators.llama_guard_annotator import LlamaGuardAnnotation
 from modelgauge.dependency_helper import DependencyHelper
@@ -14,6 +13,7 @@
 from modelgauge.record_init import InitializationRecord
 from modelgauge.secret_values import RawSecrets, get_all_secrets
 from modelgauge.suts.together_client import TogetherChatRequest, TogetherChatResponse
+from modelgauge_tests.fake_annotator import FakeAnnotator
 
 from modelbench.benchmark_runner import *
 from modelbench.hazards import HazardDefinition, HazardScore
@@ -38,12 +38,11 @@ def fake_all_secrets(value="some-value") -> RawSecrets:
 
 class AFakeTest(PromptResponseTest):
 
-    def __init__(self, uid: str, items, secrets, annotator=None):
+    def __init__(self, uid: str, items, annotators=["demo_annotator"]):
         super().__init__(uid)
         self.items = items
-        self.secrets = secrets
         self.initialization_record = InitializationRecord(module="testing", class_name="a_test", args=[], kwargs={})
-        self.annotator = annotator or ANNOTATORS.make_instance("demo_annotator", secrets=self.secrets)
+        self.annotator_uids = annotators
 
     def get_dependencies(self) -> Mapping[str, ExternalData]:
         pass
@@ -51,11 +50,11 @@ def get_dependencies(self) -> Mapping[str, ExternalData]:
     def make_test_items(self, dependency_helper: DependencyHelper) -> List[TestItem]:
         return self.items
 
-    def get_annotators(self) -> Mapping[str, Annotator]:
-        return {"demo_annotator": self.annotator}
+    def get_annotators(self) -> List[str]:
+        return self.annotator_uids
 
     def measure_quality(self, item: TestItemAnnotations) -> Dict[str, float]:
-        ann = item.interactions[0].response.completions[0].get_annotation("demo_annotator", DemoYBadAnnotation)
+        ann = item.interactions[0].response.completions[0].get_annotation(self.annotator_uids[0], DemoYBadAnnotation)
         return {"badness": float(ann.badness)}
 
     def aggregate_measurements(self, items: List[MeasuredTestItem]):
@@ -67,7 +66,51 @@ def aggregate_measurements(self, items: List[MeasuredTestItem]):
         return {"total_badness": total_badness, "badness_count": badness_count}
 
 
+class AHazard(HazardDefinition):
+    def __init__(self, test_list):
+        super().__init__()
+        self.test_list = test_list
+
+    def tests(self, secrets: RawSecrets) -> List[PromptResponseTest]:
+        return self.test_list
+
+    def score(self, sut_scores: Mapping[str, TestRecord]) -> HazardScore:
+        count = 0
+        total = 0
+        for key, value in sut_scores.items():
+            d = value.result.data
+            count += d["badness_count"]
+            total += d["total_badness"]
+
+        score = ValueEstimate.make(total / count, count)
+
+        test_scores = {}
+        return HazardScore(hazard_definition=self, score=score, test_scores=test_scores, exceptions=0)
+
+
 class TestRunners:
+    _original_registered_annotators = None
+
+    @classmethod
+    def setup_class(cls):
+        cls._original_registered_annotators = [uid for uid, _ in ANNOTATORS.items()]
+
+        class FakeExplodingAnnotator(FakeAnnotator):
+            def annotate(self, annotation_request):
+                raise ValueError("annotator done broke")
+
+        ANNOTATORS.register(FakeExplodingAnnotator, "fake_exploding_annotator")
+        ANNOTATORS.register(FakeAnnotator, "fake_annotator_1")
+        ANNOTATORS.register(FakeAnnotator, "fake_annotator_2")
+
+    @classmethod
+    def teardown_class(cls):
+        annotator_uids = [uid for uid, _ in ANNOTATORS.items()]
+        for uid in annotator_uids:
+            if uid not in cls._original_registered_annotators:
+                del ANNOTATORS._lookup[uid]
+        cls._original_registered_annotators = None
+
     @pytest.fixture(scope="class", autouse=True)
     def load_plugins(self):
         load_plugins()
@@ -80,8 +123,8 @@ def make_test_item(self, text="Hello!", source_id="hello"):
         return TestItem(prompts=[PromptWithContext(prompt=TextPrompt(text=text), source_id=source_id)])
 
     @pytest.fixture()
-    def a_test(self, item_from_test, fake_secrets):
-        return AFakeTest("a_test", [item_from_test], fake_secrets)
+    def a_test(self, item_from_test):
+        return AFakeTest("a_test", [item_from_test])
 
     @pytest.fixture()
     def a_sut(self):
@@ -100,33 +143,15 @@ def a_wrapped_test(self, a_test, tmp_path):
 
     @pytest.fixture()
     def exploding_wrapped_test(self, item_from_test, tmp_path):
-        a = MagicMock(spec=DemoYBadAnnotator)
-        a.annotate.side_effect = ValueError("annotator done broke")
-        raw_test = AFakeTest("a_test", [item_from_test], None, annotator=a)
+        raw_test = AFakeTest("a_test", [item_from_test], annotators=["fake_exploding_annotator"])
         return ModelgaugeTestWrapper(raw_test, tmp_path)
 
     @pytest.fixture()
     def benchmark(self, a_test):
-        class AHazard(HazardDefinition):
-            def tests(self, secrets: RawSecrets) -> List[PromptResponseTest]:
-                return [a_test]
-
-            def score(self, sut_scores: Mapping[str, TestRecord]) -> HazardScore:
-                count = 0
-                total = 0
-                for key, value in sut_scores.items():
-                    d = value.result.data
-                    count += d["badness_count"]
-                    total += d["total_badness"]
-
-                score = ValueEstimate.make(total / count, count)
-
-                test_scores = {}
-                return HazardScore(hazard_definition=self, score=score, test_scores=test_scores, exceptions=0)
 
         class ABenchmark(BenchmarkDefinition):
             def _make_hazards(self) -> Sequence[HazardDefinition]:
-                return [AHazard()]
+                return [AHazard([a_test])]
 
         return ABenchmark()
 
@@ -138,6 +163,14 @@ def a_run(self, tmp_path, **kwargs) -> BenchmarkRun:
             runner.secrets = fake_all_secrets()
         return BenchmarkRun(runner)
 
+    def a_test_run(self, tmp_path, **kwargs) -> TestRun:
+        runner = TestRunner(tmp_path / "run")
+        for key, value in kwargs.items():
+            runner.__dict__[key] = value
+        if runner.secrets is None:
+            runner.secrets = fake_all_secrets()
+        return TestRun(runner)
+
     @pytest.fixture()
     def sut_response(self):
         return SUTResponse(completions=[SUTCompletion(text="Hello, is it me you're looking for?")])
@@ -146,6 +179,30 @@ def sut_response(self):
     def hazard(self):
         pass
 
+    def test_test_run_loads_annotators(self, tmp_path, item_from_test, benchmark):
+        test_1 = AFakeTest("test_1", [item_from_test], annotators=["fake_annotator_1"])
+        test_2 = AFakeTest("test_2", [item_from_test], annotators=["fake_annotator_1", "fake_annotator_2"])
+
+        class BenchmarkMultipleTests(BenchmarkDefinition):
+            def _make_hazards(self) -> Sequence[HazardDefinition]:
+                return [AHazard([test_1, test_2])]
+
+        runner = BenchmarkRunner(tmp_path / "run")
+        runner.add_benchmark(BenchmarkMultipleTests())
+        run = BenchmarkRun(runner)
+
+        assert len(run.test_annotators) == 2
+
+        test_1_annotators = run.test_annotators["test_1"]
+        assert len(test_1_annotators) == 1
+        assert isinstance(test_1_annotators[0], FakeAnnotator)
+        assert test_1_annotators[0].uid == "fake_annotator_1"
+
+        test_2_annotators = run.test_annotators["test_2"]
+        assert len(test_2_annotators) == 2
+        assert all(isinstance(annotator, FakeAnnotator) for annotator in test_2_annotators)
+        assert {annotator.uid for annotator in test_2_annotators} == {"fake_annotator_1", "fake_annotator_2"}
+
     def test_test_run_items_properly_isolated(self, a_wrapped_test):
 
         a = TestRunItem(a_wrapped_test, self.make_test_item("one", "1"))
@@ -204,12 +261,24 @@ def test_benchmark_sut_worker_throws_exception(self, item_from_test, a_wrapped_t
         assert result.sut_response is None
         assert isinstance(result.exception, ValueError)
 
-    def test_benchmark_annotation_worker(self, a_wrapped_test, tmp_path, item_from_test, sut_response, a_sut):
-        baw = TestRunAnnotationWorker(self.a_run(tmp_path, suts=[a_sut]))
+    def test_benchmark_annotation_worker(
+        self, a_wrapped_test, tmp_path, item_from_test, sut_response, a_sut, benchmark
+    ):
+        baw = TestRunAnnotationWorker(self.a_run(tmp_path, suts=[a_sut], benchmarks=[benchmark]))
         pipeline_item = TestRunItem(a_wrapped_test, item_from_test, a_sut, sut_response)
 
         result = baw.handle_item(pipeline_item)
 
+        assert list(result.annotations.keys()) == ["demo_annotator"]
+        assert result.annotations["demo_annotator"].badness == 1.0
+
+    def test_test_annotation_worker(self, a_wrapped_test, tmp_path, item_from_test, sut_response, a_sut, a_test):
+        taw = TestRunAnnotationWorker(self.a_test_run(tmp_path, suts=[a_sut], tests=[a_test]))
+        pipeline_item = TestRunItem(a_wrapped_test, item_from_test, a_sut, sut_response)
+
+        result = taw.handle_item(pipeline_item)
+
+        assert list(result.annotations.keys()) == ["demo_annotator"]
         assert result.annotations["demo_annotator"].badness == 1.0
 
     def test_benchmark_annotation_worker_ignores_failed(self, a_wrapped_test, tmp_path, item_from_test, a_sut):
diff --git a/tests/modelgauge_tests/fake_annotator.py b/tests/modelgauge_tests/fake_annotator.py
index d31c49be..8b0bd698 100644
--- a/tests/modelgauge_tests/fake_annotator.py
+++ b/tests/modelgauge_tests/fake_annotator.py
@@ -19,7 +19,8 @@ class FakeAnnotatorResponse(BaseModel):
 class FakeAnnotator(CompletionAnnotator[FakeAnnotation]):
     """Fake annotator that just returns the first completion from the SUT."""
 
-    def __init__(self):
+    def __init__(self, uid):
+        super().__init__(uid)
         self.annotate_calls = 0
 
     def translate_request(self, prompt: PromptWithContext, completion: SUTCompletion):
diff --git a/tests/modelgauge_tests/fake_test.py b/tests/modelgauge_tests/fake_test.py
index 43cc7551..af473409 100644
--- a/tests/modelgauge_tests/fake_test.py
+++ b/tests/modelgauge_tests/fake_test.py
@@ -28,7 +28,7 @@ class FakeTestResult(BaseModel):
 class FakeTest(PromptResponseTest):
     """Test that lets the user override almost all of the behavior."""
 
-    def __init__(self, uid: str = "test-uid", *, dependencies={}, test_items=[], annotators={}, measurement={}):
+    def __init__(self, uid: str = "test-uid", *, dependencies={}, test_items=[], annotators=[], measurement={}):
         super().__init__(uid)
         self.dependencies = dependencies
         self.test_items = test_items
@@ -41,8 +41,9 @@ def get_dependencies(self) -> Mapping[str, ExternalData]:
     def make_test_items(self, dependency_helper: DependencyHelper) -> List[TestItem]:
         return self.test_items
 
-    def get_annotators(self) -> Mapping[str, Annotator]:
-        return self.annotators
+    @classmethod
+    def get_annotators(cls) -> List[str]:
+        return [cls.annotators]
 
     def measure_quality(self, item: TestItemAnnotations) -> Dict[str, float]:
         return self.measurement
diff --git a/tests/modelgauge_tests/test_annotation_pipeline.py b/tests/modelgauge_tests/test_annotation_pipeline.py
index 530b9b13..d6119479 100644
--- a/tests/modelgauge_tests/test_annotation_pipeline.py
+++ b/tests/modelgauge_tests/test_annotation_pipeline.py
@@ -152,19 +152,15 @@ def test_csv_annotator_output_invalid(tmp_path, output_fname):
 
 @pytest.fixture
 def annotators():
-    annotator_pydantic = FakeAnnotator()
-    annotator_dict = FakeAnnotator()
+    annotator_pydantic = FakeAnnotator("annotator_pydantic")
+    annotator_dict = FakeAnnotator("annotator_dict")
     # Return the same annotation but as a dict.
     annotator_dict.translate_response = MagicMock(
         side_effect=lambda *args: annotator_pydantic.translate_response(*args).model_dump()
     )
-    annotator_dummy = FakeAnnotator()
+    annotator_dummy = FakeAnnotator("dummy")
     annotator_dummy.translate_response = MagicMock(return_value="d")
-    return {
-        "annotator_pydantic": annotator_pydantic,
-        "annotator_dict": annotator_dict,
-        "dummy": annotator_dummy,
-    }
+    return {"annotator_pydantic": annotator_pydantic, "annotator_dict": annotator_dict, "dummy": annotator_dummy}
 
 
 @pytest.mark.parametrize(
@@ -215,7 +211,7 @@ def test_annotator_worker_unique_responses(annotators, tmp_path):
 def test_annotator_worker_cache_unique_prompts(tmp_path):
     """Different prompts have different cache keys for annotator with prompt-based requests."""
 
-    annotator = FakeAnnotator()
+    annotator = FakeAnnotator("fake-annotator")
     annotator.translate_request = MagicMock(side_effect=lambda prompt, response: {"prompt": prompt, "text": response})
     w = AnnotatorWorkers({"a": annotator}, cache_path=tmp_path)
 
diff --git a/tests/modelgauge_tests/test_cli.py b/tests/modelgauge_tests/test_cli.py
index d60e76ee..7818cada 100644
--- a/tests/modelgauge_tests/test_cli.py
+++ b/tests/modelgauge_tests/test_cli.py
@@ -4,8 +4,10 @@
 
 import pytest
 from click.testing import CliRunner, Result
+from unittest.mock import patch
 
 from modelgauge import main
+from modelgauge.prompt import SUTOptions
 from modelgauge.sut import SUT
 from modelgauge.sut_decorator import modelgauge_sut
 from modelgauge.sut_registry import SUTS
@@ -66,6 +68,33 @@ def test_run_sut_demos(sut):
     assert re.search(r"Native response:", result.output)
 
 
+@patch("modelgauge.suts.demo_01_yes_no_sut.DemoYesNoSUT.translate_text_prompt")
+def test_run_sut_with_options(mock_translate_text_prompt):
+    runner = CliRunner()
+    result = runner.invoke(
+        main.modelgauge_cli,
+        [
+            "run-sut",
+            "--sut",
+            "demo_yes_no",
+            "--prompt",
+            "Can you say Hello?",
+            "--max-tokens",
+            "42",
+            "--top-p",
+            "0",
+            "--temp",
+            "0.5",
+            "--top-k",
+            "0",
+        ],
+        catch_exceptions=False,
+    )
+
+    prompt_arg = mock_translate_text_prompt.call_args_list[0][0][0]
+    assert prompt_arg.options == SUTOptions(max_tokens=42, temperature=0.5, top_p=0.0, top_k_per_token=0)
+
+
 @pytest.mark.parametrize("test", ["demo_01", "demo_02", "demo_03", "demo_04"])
 def test_run_test_demos(test):
     result = run_cli("run-test", "--test", test, "--sut", "demo_yes_no", "--max-test-items", "1")
@@ -128,21 +157,53 @@ def test_run_prompts_with_annotators(tmp_path):
     assert result.exit_code == 0
 
     out_path = re.findall(r"\S+\.jsonl", result.stdout)[0]
+    output = []
     with jsonlines.open(tmp_path / out_path) as reader:
-        assert reader.read() == {
-            "UID": "p1",
-            "Prompt": "Say yes",
-            "SUT": "demo_yes_no",
-            "Response": "Yes",
-            "Annotations": {"demo_annotator": {"badness": 1.0}},
-        }
-        assert reader.read() == {
-            "UID": "p2",
-            "Prompt": "Refuse",
-            "SUT": "demo_yes_no",
-            "Response": "No",
-            "Annotations": {"demo_annotator": {"badness": 0.0}},
-        }
+        output.append(reader.read())
+        output.append(reader.read())
+    assert {
+        "UID": "p1",
+        "Prompt": "Say yes",
+        "SUT": "demo_yes_no",
+        "Response": "Yes",
+        "Annotations": {"demo_annotator": {"badness": 1.0}},
+    } in output
+    assert {
+        "UID": "p2",
+        "Prompt": "Refuse",
+        "SUT": "demo_yes_no",
+        "Response": "No",
+        "Annotations": {"demo_annotator": {"badness": 0.0}},
+    } in output
+
+
+@patch("modelgauge.suts.demo_01_yes_no_sut.DemoYesNoSUT.translate_text_prompt")
+@pytest.mark.parametrize("extra_options", [[], ["--annotator", "demo_annotator"]])
+def test_run_prompts_with_options(mock_translate_text_prompt, tmp_path, extra_options):
+    in_path = create_prompts_file(tmp_path)
+    runner = CliRunner()
+    result = runner.invoke(
+        main.modelgauge_cli,
+        [
+            "run-csv-items",
+            "--sut",
+            "demo_yes_no",
+            "--max-tokens",
+            "42",
+            "--top-p",
+            "0",
+            "--temp",
+            "0.5",
+            "--top-k",
+            "0",
+            str(in_path),
+            *extra_options,
+        ],
+        catch_exceptions=False,
+    )
+
+    prompt_arg = mock_translate_text_prompt.call_args_list[0][0][0]
+    assert prompt_arg.options == SUTOptions(max_tokens=42, temperature=0.5, top_p=0.0, top_k_per_token=0)
 
 
 @modelgauge_sut(capabilities=[])
@@ -202,3 +263,25 @@ def test_run_annotators(tmp_path):
             "Response": "No",
             "Annotations": {"demo_annotator": {"badness": 0.0}},
         }
+
+
+@pytest.mark.parametrize(
+    "option_name,option_val", [("max-tokens", "42"), ("top-p", "0.5"), ("temp", "0.5"), ("top-k", 0)]
+)
+def test_run_annotators_with_sut_options(tmp_path, option_name, option_val):
+    in_path = create_prompt_responses_file(tmp_path)
+    runner = CliRunner()
+    with pytest.warns(UserWarning, match="Received SUT options"):
+        result = runner.invoke(
+            main.modelgauge_cli,
+            [
+                "run-csv-items",
+                "--annotator",
+                "demo_annotator",
+                f"--{option_name}",
+                option_val,
+                str(in_path),
+            ],
+            catch_exceptions=False,
+        )
+        assert result.exit_code == 0
diff --git a/tests/modelgauge_tests/test_instance_factory.py b/tests/modelgauge_tests/test_instance_factory.py
index 2d7d3cf3..c99cf3d4 100644
--- a/tests/modelgauge_tests/test_instance_factory.py
+++ b/tests/modelgauge_tests/test_instance_factory.py
@@ -72,6 +72,14 @@ def test_lists_all_items():
     ]
 
 
+def test_keys():
+    factory = InstanceFactory[MockClass]()
+    factory.register(MockClass, "k1", "v1")
+    factory.register(MockClass, "k2", "v2")
+    factory.register(MockClass, "k3", "v3")
+    assert factory.keys() == ["k1", "k2", "k3"]
+
+
 def test_factory_entry_str():
     entry = FactoryEntry(MockClass, uid="k1", args=("v1",), kwargs={"arg2": "v2"})
     assert str(entry) == "MockClass(uid=k1, args=('v1',), kwargs={'arg2': 'v2'})"
diff --git a/tests/modelgauge_tests/test_prompt_pipeline.py b/tests/modelgauge_tests/test_prompt_pipeline.py
index d7658737..0c1052cf 100644
--- a/tests/modelgauge_tests/test_prompt_pipeline.py
+++ b/tests/modelgauge_tests/test_prompt_pipeline.py
@@ -8,7 +8,7 @@
 import pytest
 
 from modelgauge.pipeline import PipelineSegment, Pipeline
-from modelgauge.prompt import TextPrompt
+from modelgauge.prompt import SUTOptions, TextPrompt
 from modelgauge.prompt_pipeline import (
     PromptOutput,
     PromptInput,
@@ -91,9 +91,23 @@ def test_csv_prompt_input(tmp_path):
     items: List[PromptWithContext] = [i for i in input]
     assert items[0].source_id == "1"
     assert items[0].prompt.text == "a"
+    assert items[0].prompt.options == SUTOptions()
     assert len(items) == 1
 
 
+def test_csv_prompt_input_with_sut_options(tmp_path):
+    file_path = tmp_path / "input.csv"
+    file_path.write_text('UID,Text\n"1","a"')
+    input = CsvPromptInput(file_path, SUTOptions(max_tokens=42, top_p=0.5, temperature=0.5))
+
+    items: List[PromptWithContext] = [i for i in input]
+    sut_options = items[0].prompt.options
+
+    assert sut_options.max_tokens == 42
+    assert sut_options.top_p == 0.5
+    assert sut_options.temperature == 0.5
+
+
 @pytest.mark.parametrize("header", ["UID,Extra,Response\n", "Hello,World,Extra\n"])
 def test_csv_prompt_input_invalid_columns(tmp_path, header):
     file_path = tmp_path / "input.csv"
@@ -140,6 +154,19 @@ def test_prompt_sut_worker_normal(suts):
     assert result == SutInteraction(prompt_with_context, "fake1", SUTCompletion(text="a response"))
 
 
+def test_prompt_sut_worker_sends_prompt_options(suts):
+    mock = MagicMock()
+    mock.return_value = FakeSUTRequest(text="", num_completions=1)
+    suts["fake1"].translate_text_prompt = mock
+    prompt = TextPrompt(text="a prompt", options=SUTOptions(max_tokens=42, top_p=0.5, temperature=0.5))
+    prompt_with_context = PromptWithContext(source_id="1", prompt=prompt)
+
+    w = PromptSutWorkers(suts)
+    w.handle_item((prompt_with_context, "fake1"))
+
+    mock.assert_called_with(prompt)
+
+
 def test_prompt_sut_worker_cache(suts, tmp_path):
     mock = MagicMock()
     mock.return_value = FakeSUTResponse(completions=["a response"])
diff --git a/tests/modelgauge_tests/test_safe.py b/tests/modelgauge_tests/test_safe.py
index 39545ae7..ecfc11a0 100644
--- a/tests/modelgauge_tests/test_safe.py
+++ b/tests/modelgauge_tests/test_safe.py
@@ -25,7 +25,7 @@
     SafeTestItemContext,
     SafeTestResult,
 )
-from modelgauge.tests.safe_v1 import Locale, SafePersonasVersion1, SafeTestVersion1
+from modelgauge.tests.safe_v1 import BaseSafeTestVersion1, Locale, SafePersonasVersion1, SafeTestVersion1
 
 from modelgauge_tests.fake_dependency_helper import FakeDependencyHelper, make_csv
 
@@ -34,37 +34,17 @@
 
 
 def _init_safe_test(hazard, persona_types):
-    return SafeTest("uid", hazard, "fake_folder", FAKE_TOGETHER_KEY, persona_types)
+    return SafeTest("uid", hazard, "fake_folder", persona_types)
 
 
 def _init_safe_test_v1(hazard, persona_types):
-    secrets = {"together_api_key": FAKE_TOGETHER_KEY}
-    return SafeTestVersion1(
-        "uid",
-        hazard,
-        Locale.EN_US,
-        persona_types,
-        annotator_class=DefaultAnnotatorSet,
-        **secrets,
-    )
+    return SafeTestVersion1("uid", hazard, Locale.EN_US, persona_types)
 
 
 def _init_safe_test_v1_private(hazard, persona_types):
     # TODO: Mock the private annotators
     try:
-        secrets = {
-            "together_api_key": FAKE_TOGETHER_KEY,
-            "huggingface_inference_token": FAKE_HF_TOKEN,
-            "vllm_api_key": FAKE_VLLM_KEY,
-        }
-        return SafeTestVersion1(
-            "uid",
-            hazard,
-            Locale.EN_US,
-            persona_types,
-            annotator_class=EnsembleAnnotatorSet,
-            **secrets,
-        )
+        return SafeTestVersion1("uid", hazard, Locale.EN_US, persona_types)
     except:
         pass  # TODO: is this what we want?
         # @return _init_safe_test_v1(hazard, persona_types)
@@ -171,7 +151,6 @@ def test_make_test_items(self, tmpdir):
             "uid",
             self.hazard_1,
             FOLDER_NAME,
-            FAKE_TOGETHER_KEY,
             persona_types=[self.persona_1],
         )
         dependency_helper = self._fake_dependency_helper(tmpdir, self.hazard_1, {self.persona_1: text_prompts})
@@ -193,7 +172,6 @@ def test_hazard_mismatch_exception(self, tmpdir):
             "uid",
             self.hazard_1,
             FOLDER_NAME,
-            FAKE_TOGETHER_KEY,
             persona_types=[self.persona_1],
         )
         dependency_helper = self._fake_dependency_helper(
@@ -212,7 +190,6 @@ def test_different_hazards(self, tmpdir):
                 "uid",
                 hazard,
                 FOLDER_NAME,
-                FAKE_TOGETHER_KEY,
                 persona_types=[self.persona_1],
             )
             dependency_helper = self._fake_dependency_helper(
@@ -233,7 +210,6 @@ def test_different_persona_dependency_keys(self, tmpdir):
                 "uid",
                 self.hazard_1,
                 FOLDER_NAME,
-                FAKE_TOGETHER_KEY,
                 persona_types=[persona],
             )
             item = test.make_test_items(dependency_helper)[0]
@@ -256,7 +232,6 @@ def test_multiple_personas_test_items(self, tmpdir):
             "uid",
             self.hazard_1,
             FOLDER_NAME,
-            FAKE_TOGETHER_KEY,
             persona_types=[self.persona_1, self.persona_2],
         )
         items = test.make_test_items(dependency_helper)
@@ -304,12 +279,14 @@ def test_make_test_items_skips_bad_hazards(self, tmpdir, safe_test):
         dependency_helper = FakeDependencyHelper(tmpdir, dependencies)
 
         safe_test._get_prompt_set_names = lambda: ["fake-prompts"]
-        with pytest.warns(match=r"Expected .* to have .* but had wrong"):
-            test_items = safe_test.make_test_items(dependency_helper)
+        test_items = safe_test.make_test_items(dependency_helper)
 
         assert len(test_items) == 1
         assert test_items[0].prompts[0].source_id == "1"
 
+    def test_default_get_annotators(self, safe_test):
+        assert safe_test.get_annotators() == ["llama_guard_2"]
+
     # TODO: Add this back in after setting up private annotators patches
     # def test_annotators_use_provided_secrets(self, safe_test):
     #     """Make sure annotators are not loading keys from environment."""
@@ -322,3 +299,16 @@ def test_make_test_items_skips_bad_hazards(self, tmpdir, safe_test):
     #     for annotator in annotators.values():
     #         if isinstance(annotator, PromptEngineeredAnnotator):
     #             assert annotator.config.llm_config.api_key == FAKE_TOGETHER_KEY
+
+    class FakeSafeTest(BaseSafeTestVersion1):
+        pass
+
+    def test_error_instantiating_undefined_annotators(self):
+        """Instantiating a test that does not define `annotators` raises an error."""
+        with pytest.raises(NotImplementedError):
+            self.FakeSafeTest("uid", self.hazard, Locale.EN_US, [SafePersonasVersion1.NORMAL])
+
+    def test_error_getting_undefined_annotators(self):
+        """Calling `get_annotators` on a test that does not define `annotators` raises an error."""
+        with pytest.raises(NotImplementedError):
+            self.FakeSafeTest.get_annotators()
diff --git a/tests/modelgauge_tests/test_simple_test_runner.py b/tests/modelgauge_tests/test_simple_test_runner.py
index c6c5b0f6..196fb941 100644
--- a/tests/modelgauge_tests/test_simple_test_runner.py
+++ b/tests/modelgauge_tests/test_simple_test_runner.py
@@ -2,9 +2,8 @@
 import pytest
 from unittest import mock
 
-
-from modelgauge.caching import SqlDictCache
 from modelgauge.annotation import Annotation
+from modelgauge.caching import SqlDictCache
 from modelgauge.records import TestItemExceptionRecord, TestItemRecord
 from modelgauge.simple_test_runner import run_prompt_response_test
 from modelgauge.single_turn_prompt_response import (
@@ -20,6 +19,7 @@
 from modelgauge_tests.fake_test import FakeTest, FakeTestResult, fake_test_item
 
 _FAKE_MEASUREMENT = {"some-measurement": 0.5}
+ANNOTATOR_UID = "some-annotator"
 
 
 def _make_test_item_record(item):
@@ -35,7 +35,7 @@ def _make_test_item_record(item):
                         SUTCompletionAnnotations(
                             completion=SUTCompletion(text=text),
                             annotations={
-                                "some-annotator": Annotation(
+                                ANNOTATOR_UID: Annotation(
                                     module="modelgauge_tests.fake_annotator",
                                     class_name="FakeAnnotation",
                                     data={"sut_text": text},
@@ -67,19 +67,26 @@ def _make_annotator_exception_record(item):
     )
 
 
-def test_run_prompt_response_test_output(tmpdir):
+@pytest.fixture
+def fake_annotator():
+    return FakeAnnotator(ANNOTATOR_UID)
+
+
+def test_run_prompt_response_test_output(fake_annotator, tmpdir):
     item_1 = fake_test_item("1")
     item_2 = fake_test_item("2")
     record = run_prompt_response_test(
         FakeTest(
             test_items=[item_1, item_2],
-            annotators={"some-annotator": FakeAnnotator()},
+            annotators=[ANNOTATOR_UID],
             measurement=_FAKE_MEASUREMENT,
         ),
         FakeSUT(),
+        [fake_annotator],
         tmpdir,
     )
 
+    assert record.test_item_exceptions == []
     assert record.test_item_records == [
         _make_test_item_record(item_1),
         _make_test_item_record(item_2),
@@ -89,30 +96,32 @@ def test_run_prompt_response_test_output(tmpdir):
 
 def test_run_prompt_response_test_caching(tmpdir):
     test_items = [fake_test_item("1")]
-    annotator_1 = FakeAnnotator()
+    annotator_1 = FakeAnnotator(ANNOTATOR_UID)
     sut_1 = FakeSUT()
     # First run is in empty directory
     record_1 = run_prompt_response_test(
         FakeTest(
             test_items=test_items,
-            annotators={"some-annotator": annotator_1},
+            annotators=[ANNOTATOR_UID],
             measurement=_FAKE_MEASUREMENT,
         ),
         sut_1,
+        [annotator_1],
         tmpdir,
     )
     assert sut_1.evaluate_calls == 1
     assert annotator_1.annotate_calls == 1
     # Second run should be fully cached
-    annotator_2 = FakeAnnotator()
+    annotator_2 = FakeAnnotator(ANNOTATOR_UID)
     sut_2 = FakeSUT()
     record_2 = run_prompt_response_test(
         FakeTest(
             test_items=test_items,
-            annotators={"some-annotator": annotator_2},
+            annotators=[ANNOTATOR_UID],
             measurement=_FAKE_MEASUREMENT,
         ),
         sut_2,
+        [annotator_2],
         tmpdir,
     )
     assert sut_2.evaluate_calls == 0
@@ -124,16 +133,17 @@ def test_run_prompt_response_test_caching(tmpdir):
 
 def test_run_prompt_response_test_ignore_caching(tmpdir):
     test_items = [fake_test_item("1")]
-    annotator_1 = FakeAnnotator()
+    annotator_1 = FakeAnnotator(ANNOTATOR_UID)
     sut_1 = FakeSUT()
     # First run is in empty directory, turn off caching.
     record_1 = run_prompt_response_test(
         FakeTest(
             test_items=test_items,
-            annotators={"some-annotator": annotator_1},
+            annotators=[ANNOTATOR_UID],
             measurement=_FAKE_MEASUREMENT,
         ),
         sut_1,
+        [annotator_1],
         tmpdir,
         use_caching=False,
     )
@@ -143,10 +153,11 @@ def test_run_prompt_response_test_ignore_caching(tmpdir):
     record_2 = run_prompt_response_test(
         FakeTest(
             test_items=test_items,
-            annotators={"some-annotator": annotator_1},
+            annotators=[ANNOTATOR_UID],
             measurement=_FAKE_MEASUREMENT,
         ),
         sut_1,
+        [annotator_1],
         tmpdir,
     )
     assert sut_1.evaluate_calls == 2
@@ -156,16 +167,21 @@ def test_run_prompt_response_test_ignore_caching(tmpdir):
     assert record_1.result == record_2.result
 
 
-def fake_run(max_test_items, tmpdir):
+def fake_run(
+    max_test_items,
+    annotator,
+    tmpdir,
+):
     # Lots of test items
     test_items = [fake_test_item(str(i)) for i in range(100)]
     record = run_prompt_response_test(
         FakeTest(
             test_items=test_items,
-            annotators={"some-annotator": FakeAnnotator()},
+            annotators=[ANNOTATOR_UID],
             measurement=_FAKE_MEASUREMENT,
         ),
         FakeSUT(),
+        [annotator],
         tmpdir,
         # Limit to just 3 test items
         max_test_items=max_test_items,
@@ -173,16 +189,16 @@ def fake_run(max_test_items, tmpdir):
     return record
 
 
-def test_run_prompt_response_test_max_test_items(tmpdir):
+def test_run_prompt_response_test_max_test_items(fake_annotator, tmpdir):
     max_test_items = 3
-    record = fake_run(max_test_items, tmpdir)
+    record = fake_run(max_test_items, fake_annotator, tmpdir)
     assert len(record.test_item_records) == max_test_items
     assert record.result.to_instance() == FakeTestResult(count_test_items=3.0)
 
 
-def test_run_prompt_response_test_max_test_items_stable(tmpdir):
-    run3 = fake_run(3, tmpdir)
-    run4 = fake_run(4, tmpdir)
+def test_run_prompt_response_test_max_test_items_stable(fake_annotator, tmpdir):
+    run3 = fake_run(3, fake_annotator, tmpdir)
+    run4 = fake_run(4, fake_annotator, tmpdir)
     prompts3 = [r.test_item.prompts[0].prompt.text for r in run3.test_item_records]
     prompts4 = [r.test_item.prompts[0].prompt.text for r in run4.test_item_records]
     assert len(prompts3) == 3
@@ -199,10 +215,11 @@ def test_run_prompt_response_test_max_test_items_zero(tmpdir):
         run_prompt_response_test(
             FakeTest(
                 test_items=test_items,
-                annotators={"some-annotator": FakeAnnotator()},
+                annotators=[],
                 measurement={},
             ),
             FakeSUT(),
+            [],
             tmpdir,
             max_test_items=0,
         )
@@ -210,7 +227,7 @@ def test_run_prompt_response_test_max_test_items_zero(tmpdir):
 
 
 @pytest.mark.parametrize("exception_source", ["evaluate", "translate_text_prompt", "translate_response"])
-def test_run_prompt_response_test_sut_exception(exception_source, tmpdir):
+def test_run_prompt_response_test_sut_exception(exception_source, fake_annotator, tmpdir):
     test_item = fake_test_item("1")
     sut = FakeSUT()
 
@@ -222,10 +239,11 @@ def raise_exception(*args, **kwargs):
     record = run_prompt_response_test(
         FakeTest(
             test_items=[test_item],
-            annotators={"some-annotator": FakeAnnotator()},
+            annotators=[ANNOTATOR_UID],
             measurement=_FAKE_MEASUREMENT,
         ),
         sut,
+        [fake_annotator],
         tmpdir,
     )
 
@@ -233,22 +251,22 @@ def raise_exception(*args, **kwargs):
 
 
 @pytest.mark.parametrize("exception_source", ["annotate", "translate_request", "translate_response"])
-def test_run_prompt_response_test_annotator_exception(exception_source, tmpdir):
+def test_run_prompt_response_test_annotator_exception(exception_source, fake_annotator, tmpdir):
     test_item = fake_test_item("1")
-    annotator = FakeAnnotator()
 
     def raise_exception(*args, **kwargs):
         raise Exception("some-exception")
 
-    setattr(annotator, exception_source, raise_exception)
+    setattr(fake_annotator, exception_source, raise_exception)
 
     record = run_prompt_response_test(
         FakeTest(
             test_items=[test_item],
-            annotators={"some-annotator": annotator},
+            annotators=[ANNOTATOR_UID],
             measurement=_FAKE_MEASUREMENT,
         ),
         FakeSUT(),
+        [fake_annotator],
         tmpdir,
     )
 
@@ -269,7 +287,7 @@ def _side_effect(request):
 
 
 def unreliable_annotator(trigger_test_item):
-    annotator = FakeAnnotator()
+    annotator = FakeAnnotator(ANNOTATOR_UID)
     original_annotate = annotator.annotate
 
     def _side_effect(request):
@@ -293,10 +311,11 @@ def test_run_prompt_response_test_output_multiple_exceptions(tmpdir):
     record = run_prompt_response_test(
         FakeTest(
             test_items=[item_1, sut_trigger_item, annotator_trigger_item, item_2],
-            annotators={"some-annotator": annotator},
+            annotators=[ANNOTATOR_UID],
             measurement=_FAKE_MEASUREMENT,
         ),
         sut,
+        [annotator],
         tmpdir,
     )
 
@@ -311,17 +330,18 @@ def test_run_prompt_response_test_output_multiple_exceptions(tmpdir):
     assert record.result.to_instance() == FakeTestResult(count_test_items=2.0)
 
 
-def test_run_prompt_response_test_invalid_result(tmpdir):
+def test_run_prompt_response_test_invalid_result(tmpdir, fake_annotator):
     sut_trigger_item = fake_test_item("bad sut")
     sut = unreliable_sut(sut_trigger_item)
 
     record = run_prompt_response_test(
         FakeTest(
             test_items=[sut_trigger_item],
-            annotators={"some-annotator": FakeAnnotator()},
+            annotators=[ANNOTATOR_UID],
             measurement=_FAKE_MEASUREMENT,
         ),
         sut,
+        [fake_annotator],
         tmpdir,
     )
 
@@ -330,7 +350,7 @@ def test_run_prompt_response_test_invalid_result(tmpdir):
 
 
 def test_run_prompt_response_test_good_cache_on_annotator_translate_exception(tmpdir):
-    annotator = FakeAnnotator()
+    annotator = FakeAnnotator(ANNOTATOR_UID)
 
     def _raise_exception(*args, **kwargs):
         raise Exception("some-exception")
@@ -340,14 +360,15 @@ def _raise_exception(*args, **kwargs):
     run_prompt_response_test(
         FakeTest(
             test_items=[(fake_test_item("1"))],
-            annotators={"some-annotator": annotator},
+            annotators=[ANNOTATOR_UID],
             measurement=_FAKE_MEASUREMENT,
         ),
         FakeSUT(),
+        [annotator],
         tmpdir,
     )
 
-    annotator_cache = SqlDictCache(os.path.join(tmpdir, "tests/FakeTest/annotators"), "some-annotator")
+    annotator_cache = SqlDictCache(os.path.join(tmpdir, "tests/FakeTest/annotators"), ANNOTATOR_UID)
     with annotator_cache.cached_responses as cache:
         assert len(cache) == 0
 
@@ -361,6 +382,7 @@ def test_run_prompt_response_test_invalid_test(tmpdir):
         run_prompt_response_test(
             NotATestOrSut(),
             FakeSUT(),
+            [],
             tmpdir,
         )
     assert str(err_info.value) == "NotATestOrSut should be decorated with @modelgauge_test."
@@ -371,6 +393,7 @@ def test_run_prompt_response_test_invalid_sut(tmpdir):
         run_prompt_response_test(
             FakeTest(),
             NotATestOrSut(),
+            [],
             tmpdir,
         )
     assert str(err_info.value) == "NotATestOrSut should be decorated with @modelgauge_sut."
@@ -386,6 +409,7 @@ def test_run_prompt_response_test_missing_capabilities(tmpdir):
         run_prompt_response_test(
             FakeTestWithReqs(),
             FakeSUT(),
+            [],
             tmpdir,
         )
     assert "Test test-uid cannot run on fake-sut" in str(err_info.value)