diff --git a/eureka_ml_insights/configs/__init__.py b/eureka_ml_insights/configs/__init__.py
index 7d04a3f..b5a720c 100644
--- a/eureka_ml_insights/configs/__init__.py
+++ b/eureka_ml_insights/configs/__init__.py
@@ -1,4 +1,3 @@
-from .aime import AIME_PIPELINE
 from .config import (
     AggregatorConfig,
     DataJoinConfig,
@@ -11,71 +10,7 @@
     PipelineConfig,
     PromptProcessingConfig,
 )
-from .dna import DNA_PIPELINE
-from .drop import Drop_Experiment_Pipeline
 from .experiment_config import ExperimentConfig, create_logdir
-from .flenqa import FlenQA_Experiment_Pipeline
-from .geometer import GEOMETER_PIPELINE
-from .gpqa import GPQA_Experiment_Pipeline
-from .ifeval import IFEval_PIPELINE
-from .image_understanding.object_detection import (
-    OBJECT_DETECTION_PAIRS_LOCAL_PIPELINE,
-    OBJECT_DETECTION_PAIRS_PIPELINE,
-    OBJECT_DETECTION_SINGLE_LOCAL_PIPELINE,
-    OBJECT_DETECTION_SINGLE_PIPELINE,
-)
-from .image_understanding.object_recognition import (
-    OBJECT_RECOGNITION_PAIRS_LOCAL_PIPELINE,
-    OBJECT_RECOGNITION_PAIRS_PIPELINE,
-    OBJECT_RECOGNITION_SINGLE_LOCAL_PIPELINE,
-    OBJECT_RECOGNITION_SINGLE_PIPELINE,
-)
-from .image_understanding.spatial_reasoning import (
-    SPATIAL_REASONING_PAIRS_LOCAL_PIPELINE,
-    SPATIAL_REASONING_PAIRS_PIPELINE,
-    SPATIAL_REASONING_SINGLE_LOCAL_PIPELINE,
-    SPATIAL_REASONING_SINGLE_PIPELINE,
-)
-from .image_understanding.visual_prompting import (
-    VISUAL_PROMPTING_PAIRS_LOCAL_PIPELINE,
-    VISUAL_PROMPTING_PAIRS_PIPELINE,
-    VISUAL_PROMPTING_SINGLE_LOCAL_PIPELINE,
-    VISUAL_PROMPTING_SINGLE_PIPELINE,
-)
-from .kitab import (
-    GPT35_KITAB_ONE_BOOK_CONSTRAINT_PIPELINE,
-    KITAB_ONE_BOOK_CONSTRAINT_PIPELINE,
-    KITAB_ONE_BOOK_CONSTRAINT_PIPELINE_SELF_CONTEXT,
-    KITAB_ONE_BOOK_CONSTRAINT_PIPELINE_WITH_CONTEXT,
-    KITAB_TWO_BOOK_CONSTRAINT_PIPELINE,
-    KITAB_TWO_BOOK_CONSTRAINT_PIPELINE_WITH_CONTEXT,
-)
-from .mmmu import MMMU_BASELINE_PIPELINE
-from .nondeterminism import (
-    Geo_Nondeterminism,
-    IFEval_Nondeterminism,
-    Kitab_Nondeterminism,
-    MMMU_Nondeterminism,
-)
-from .toxigen import (
-    ToxiGen_Discriminative_PIPELINE,
-    ToxiGen_Generative_PIPELINE,
-)
-from .vision_language.maze import (
-    MAZE_PIPELINE,
-    MAZE_REPORTING_PIPELINE,
-    MAZE_TEXTONLY_PIPELINE,
-)
-from .vision_language.spatial_grid import (
-    SPATIAL_GRID_PIPELINE,
-    SPATIAL_GRID_REPORTING_PIPELINE,
-    SPATIAL_GRID_TEXTONLY_PIPELINE,
-)
-from .vision_language.spatial_map import (
-    SPATIAL_MAP_PIPELINE,
-    SPATIAL_MAP_REPORTING_PIPELINE,
-    SPATIAL_MAP_TEXTONLY_PIPELINE,
-)
 
 __all__ = [
     PipelineConfig,
@@ -89,50 +24,5 @@
     DataSetConfig,
     EvalReportingConfig,
     ExperimentConfig,
-    OBJECT_DETECTION_PAIRS_PIPELINE,
-    OBJECT_DETECTION_SINGLE_PIPELINE,
-    OBJECT_DETECTION_PAIRS_LOCAL_PIPELINE,
-    OBJECT_DETECTION_SINGLE_LOCAL_PIPELINE,
-    OBJECT_RECOGNITION_PAIRS_PIPELINE,
-    OBJECT_RECOGNITION_SINGLE_PIPELINE,
-    OBJECT_RECOGNITION_PAIRS_LOCAL_PIPELINE,
-    OBJECT_RECOGNITION_SINGLE_LOCAL_PIPELINE,
-    SPATIAL_REASONING_PAIRS_PIPELINE,
-    SPATIAL_REASONING_SINGLE_PIPELINE,
-    SPATIAL_REASONING_PAIRS_LOCAL_PIPELINE,
-    SPATIAL_REASONING_SINGLE_LOCAL_PIPELINE,
-    VISUAL_PROMPTING_PAIRS_PIPELINE,
-    VISUAL_PROMPTING_SINGLE_PIPELINE,
-    VISUAL_PROMPTING_PAIRS_LOCAL_PIPELINE,
-    VISUAL_PROMPTING_SINGLE_LOCAL_PIPELINE,
-    SPATIAL_GRID_PIPELINE,
-    SPATIAL_GRID_TEXTONLY_PIPELINE,
-    SPATIAL_GRID_REPORTING_PIPELINE,
-    SPATIAL_MAP_PIPELINE,
-    SPATIAL_MAP_TEXTONLY_PIPELINE,
-    SPATIAL_MAP_REPORTING_PIPELINE,
-    MAZE_PIPELINE,
-    MAZE_TEXTONLY_PIPELINE,
-    MAZE_REPORTING_PIPELINE,
-    IFEval_PIPELINE,
-    FlenQA_Experiment_Pipeline,
-    GPQA_Experiment_Pipeline,
-    Drop_Experiment_Pipeline,
-    GEOMETER_PIPELINE,
-    MMMU_BASELINE_PIPELINE,
-    KITAB_ONE_BOOK_CONSTRAINT_PIPELINE,
-    KITAB_ONE_BOOK_CONSTRAINT_PIPELINE_WITH_CONTEXT,
-    KITAB_ONE_BOOK_CONSTRAINT_PIPELINE_SELF_CONTEXT,
-    KITAB_TWO_BOOK_CONSTRAINT_PIPELINE,
-    KITAB_TWO_BOOK_CONSTRAINT_PIPELINE_WITH_CONTEXT,
-    GPT35_KITAB_ONE_BOOK_CONSTRAINT_PIPELINE,
-    DNA_PIPELINE,
-    ToxiGen_Discriminative_PIPELINE,
-    ToxiGen_Generative_PIPELINE,
-    Geo_Nondeterminism,
-    MMMU_Nondeterminism,
-    IFEval_Nondeterminism,
-    Kitab_Nondeterminism,
-    AIME_PIPELINE,
     create_logdir,
 ]
diff --git a/eureka_ml_insights/configs/model_configs.py b/eureka_ml_insights/configs/model_configs.py
index 01e2cd1..1b83a7b 100644
--- a/eureka_ml_insights/configs/model_configs.py
+++ b/eureka_ml_insights/configs/model_configs.py
@@ -13,6 +13,7 @@
     LLaVAModel,
     MistralServerlessAzureRestEndpointModel,
     RestEndpointModel,
+    TestModel,
 )
 
 from .config import ModelConfig
@@ -21,6 +22,10 @@
 # in the secret_key_params dictionary. OR you can provide the key name and key vault URL to fetch the key from Azure Key Vault.
 # You don't need to provide both the key_vault_url and local_keys_path. You can provide one of them based on your setup.
 
+
+# Test model
+TEST_MODEL_CONFIG = ModelConfig(TestModel, {})
+
 # OpenAI models
 
 OPENAI_SECRET_KEY_PARAMS = {
@@ -193,4 +198,4 @@
         },
         "model_name": "Mistral-large-2407",
     },
-)
\ No newline at end of file
+)
diff --git a/eureka_ml_insights/core/__init__.py b/eureka_ml_insights/core/__init__.py
index c79de3d..82a51ec 100644
--- a/eureka_ml_insights/core/__init__.py
+++ b/eureka_ml_insights/core/__init__.py
@@ -1,5 +1,5 @@
 from .data_join import DataJoin
-from .data_processing import DataProcessing, NumpyEncoder
+from .data_processing import DataProcessing
 from .eval_reporting import EvalReporting
 from .inference import Inference
 from .pipeline import Component, Pipeline
@@ -12,6 +12,5 @@
     "EvalReporting",
     "DataProcessing",
     "PromptProcessing",
-    "NumpyEncoder",
     "DataJoin",
 ]
diff --git a/eureka_ml_insights/core/data_processing.py b/eureka_ml_insights/core/data_processing.py
index 8fc45e3..56a653a 100644
--- a/eureka_ml_insights/core/data_processing.py
+++ b/eureka_ml_insights/core/data_processing.py
@@ -1,11 +1,10 @@
-import base64
 import json
 import logging
 import os
 from hashlib import md5
 from typing import List, Optional
 
-import numpy as np
+from eureka_ml_insights.data_utils import NumpyEncoder
 
 from .pipeline import Component
 from .reserved_names import (
@@ -21,36 +20,6 @@ def compute_hash(val: str) -> str:
     return md5(val.encode("utf-8")).hexdigest()
 
 
-class NumpyEncoder(json.JSONEncoder):
-    """Special json encoder for numpy types"""
-
-    def default(self, obj):
-        if isinstance(
-            obj,
-            (
-                np.int_,
-                np.intc,
-                np.intp,
-                np.int8,
-                np.int16,
-                np.int32,
-                np.int64,
-                np.uint8,
-                np.uint16,
-                np.uint32,
-                np.uint64,
-            ),
-        ):
-            return int(obj)
-        elif isinstance(obj, (np.float_, np.float16, np.float32, np.float64)):
-            return float(obj)
-        elif isinstance(obj, (np.ndarray,)):
-            return obj.tolist()
-        elif isinstance(obj, bytes):
-            return base64.b64encode(obj).decode("ascii")
-        return json.JSONEncoder.default(self, obj)
-
-
 class DataProcessing(Component):
     @classmethod
     def from_config(cls, config):
diff --git a/eureka_ml_insights/core/eval_reporting.py b/eureka_ml_insights/core/eval_reporting.py
index c7e72c7..7e2eaa9 100644
--- a/eureka_ml_insights/core/eval_reporting.py
+++ b/eureka_ml_insights/core/eval_reporting.py
@@ -2,9 +2,9 @@
 import json
 import os
 
+from eureka_ml_insights.data_utils import NumpyEncoder
 from eureka_ml_insights.metrics import Reporter
 
-from .data_processing import NumpyEncoder
 from .pipeline import Component
 
 
diff --git a/eureka_ml_insights/data_utils/__init__.py b/eureka_ml_insights/data_utils/__init__.py
index 88b5921..5d93b55 100644
--- a/eureka_ml_insights/data_utils/__init__.py
+++ b/eureka_ml_insights/data_utils/__init__.py
@@ -11,8 +11,8 @@
     MMDataLoader,
     TXTWriter,
 )
+from .encoders import NumpyEncoder
 from .prompt_processing import JinjaPromptTemplate
-from .secret_key_utils import GetKey
 from .spatial_utils import (
     ExtractAnswerGrid,
     ExtractAnswerMaze,
@@ -67,11 +67,11 @@
     RegexTransform,
     ASTEvalTransform,
     PrependStringTransform,
-    GetKey,
     ExtractAnswerGrid,
     ExtractAnswerSpatialMap,
     ExtractAnswerMaze,
     ShuffleColumnsTransform,
     ColumnMatchMapTransform,
     TokenCounterTransform,
+    NumpyEncoder,
 ]
diff --git a/eureka_ml_insights/data_utils/data.py b/eureka_ml_insights/data_utils/data.py
index fc520e9..55fd556 100644
--- a/eureka_ml_insights/data_utils/data.py
+++ b/eureka_ml_insights/data_utils/data.py
@@ -14,9 +14,9 @@
 from PIL import Image
 from tqdm import tqdm
 
-from eureka_ml_insights.core import NumpyEncoder
+from eureka_ml_insights.secret_management import get_secret
 
-from .secret_key_utils import GetKey
+from .encoders import NumpyEncoder
 from .transform import DFTransformBase
 
 log = logging.getLogger("data_reader")
@@ -216,14 +216,14 @@ def get_query_string(self, query_string=None, secret_key_params=None):
         One of the two arguments must be provided.
         args:
             query_string: str, query string to authenticate with Azure Blob Storage.
-            secret_key_params: dict, dictionary containing the paramters to call GetKey with.
+            secret_key_params: dict, dictionary containing the paramters to call get_secret with.
         """
         self.query_string = query_string
         self.secret_key_params = secret_key_params
         if self.query_string is None and self.secret_key_params is None:
             raise ValueError("Either provide query_string or secret_key_params to load data from Azure.")
         if self.query_string is None:
-            self.query_string = GetKey(**secret_key_params)
+            self.query_string = get_secret(**secret_key_params)
 
 
 class AzureMMDataLoader(MMDataLoader):
diff --git a/eureka_ml_insights/data_utils/encoders.py b/eureka_ml_insights/data_utils/encoders.py
new file mode 100644
index 0000000..a8ab9d2
--- /dev/null
+++ b/eureka_ml_insights/data_utils/encoders.py
@@ -0,0 +1,32 @@
+import json
+import base64
+import numpy as np
+
+class NumpyEncoder(json.JSONEncoder):
+    """Special json encoder for numpy types"""
+
+    def default(self, obj):
+        if isinstance(
+            obj,
+            (
+                np.int_,
+                np.intc,
+                np.intp,
+                np.int8,
+                np.int16,
+                np.int32,
+                np.int64,
+                np.uint8,
+                np.uint16,
+                np.uint32,
+                np.uint64,
+            ),
+        ):
+            return int(obj)
+        elif isinstance(obj, (np.float_, np.float16, np.float32, np.float64)):
+            return float(obj)
+        elif isinstance(obj, (np.ndarray,)):
+            return obj.tolist()
+        elif isinstance(obj, bytes):
+            return base64.b64encode(obj).decode("ascii")
+        return json.JSONEncoder.default(self, obj)
\ No newline at end of file
diff --git a/eureka_ml_insights/metrics/kitab_metrics.py b/eureka_ml_insights/metrics/kitab_metrics.py
index 8d49f5d..c11aafb 100644
--- a/eureka_ml_insights/metrics/kitab_metrics.py
+++ b/eureka_ml_insights/metrics/kitab_metrics.py
@@ -11,17 +11,17 @@
 import numpy as np
 import requests
 from azure.ai.textanalytics import TextAnalyticsClient
-from azure.identity import DefaultAzureCredential
 from azure.core.credentials import AzureKeyCredential
 from azure.core.exceptions import (
     HttpResponseError,
     ServiceRequestError,
     ServiceResponseError,
 )
+from azure.identity import DefaultAzureCredential
 from fuzzywuzzy import fuzz
 
-from eureka_ml_insights.data_utils import GetKey, kitab_utils
 from eureka_ml_insights.metrics import CompositeMetric
+from eureka_ml_insights.secret_management import get_secret
 
 
 class KitabMetric(CompositeMetric):
@@ -40,10 +40,10 @@ def __init__(self, temp_path_names, azure_lang_service_config):
         )
         # requires an Azure Cognitive Services Endpoint
         # (ref: https://learn.microsoft.com/en-us/azure/ai-services/language-service/)
-        self.key = GetKey(
-            key_name = azure_lang_service_config["secret_key_params"].get("key_name", None),
-            local_keys_path = azure_lang_service_config["secret_key_params"].get("local_keys_path", None),
-            key_vault_url = azure_lang_service_config["secret_key_params"].get("key_vault_url", None),
+        self.key = get_secret(
+            key_name=azure_lang_service_config["secret_key_params"].get("key_name", None),
+            local_keys_path=azure_lang_service_config["secret_key_params"].get("local_keys_path", None),
+            key_vault_url=azure_lang_service_config["secret_key_params"].get("key_vault_url", None),
         )
         self.endpoint = azure_lang_service_config["url"]
         self.text_analytics_credential = self.get_verified_credential()
@@ -51,19 +51,14 @@ def __init__(self, temp_path_names, azure_lang_service_config):
     def get_verified_credential(self):
         model_version = "latest"
         try:
-            text_analytics_client = TextAnalyticsClient(
-                endpoint=self.endpoint, credential=AzureKeyCredential(self.key)
-            )
+            text_analytics_client = TextAnalyticsClient(endpoint=self.endpoint, credential=AzureKeyCredential(self.key))
             text_analytics_client.recognize_entities(["New York City"], model_version=model_version)
             return AzureKeyCredential(self.key)
         except Exception as e:
             logging.info(f"Failed to create the TextAnalyticsClient using AzureKeyCredential")
             logging.info("The error is caused by: {}".format(e))
         try:
-            text_analytics_client = TextAnalyticsClient(
-                endpoint=self.endpoint, credential=DefaultAzureCredential()
-
-            )
+            text_analytics_client = TextAnalyticsClient(endpoint=self.endpoint, credential=DefaultAzureCredential())
             text_analytics_client.recognize_entities(["New York City"], model_version=model_version)
             return DefaultAzureCredential()
         except Exception as e:
@@ -112,17 +107,13 @@ def process_row(self, row, gpt4_names):
         all_books = []
         raw_unmapped = []
 
-        mapped_books = [
-            self.process_title(book) for book in ast.literal_eval(row["mapped_books"])
-        ] 
+        mapped_books = [self.process_title(book) for book in ast.literal_eval(row["mapped_books"])]
         model_books = (
             [self.process_title(book) for book in row["model_books"]]
             if isinstance(row["model_books"], list)
             else [self.process_title(book) for book in row["model_books"]["titles"]]
         )
-        all_books = [
-            self.process_title(self.process_all_books(book)) for book in ast.literal_eval(row["all_books"])
-        ]  
+        all_books = [self.process_title(self.process_all_books(book)) for book in ast.literal_eval(row["all_books"])]
         raw_books = [self.process_title(book) for book in ast.literal_eval(row["raw_books"])]
 
         len(model_books)
@@ -468,9 +459,7 @@ def extract_persons(self, text):
                     text_analytics_client = TextAnalyticsClient(
                         endpoint=self.endpoint, credential=self.text_analytics_credential, api_version="2023-04-01"
                     )
-                    result = text_analytics_client.recognize_entities(
-                        input_texts, model_version="2023-04-15-preview"
-                    )
+                    result = text_analytics_client.recognize_entities(input_texts, model_version="2023-04-15-preview")
 
                     error_flag = any([review.is_error for review in result])
                     result = [review for review in result if not review.is_error]
diff --git a/eureka_ml_insights/metrics/spatial_and_layout_metrics.py b/eureka_ml_insights/metrics/spatial_and_layout_metrics.py
index df1d9b1..eeec2cb 100644
--- a/eureka_ml_insights/metrics/spatial_and_layout_metrics.py
+++ b/eureka_ml_insights/metrics/spatial_and_layout_metrics.py
@@ -5,12 +5,8 @@
 import nltk
 from pycocotools.coco import COCO
 
-from eureka_ml_insights.data_utils import JsonReader
-from eureka_ml_insights.metrics.metrics_base import (
-    ClassicMetric,
-    DetectionMetric,
-    MultipleChoiceMetric,
-)
+from ..data_utils.data import JsonReader
+from .metrics_base import ClassicMetric, DetectionMetric, MultipleChoiceMetric
 
 
 def download_nltk_resources():
diff --git a/eureka_ml_insights/models/__init__.py b/eureka_ml_insights/models/__init__.py
index a4bbc88..3a8d024 100644
--- a/eureka_ml_insights/models/__init__.py
+++ b/eureka_ml_insights/models/__init__.py
@@ -13,6 +13,7 @@
     MistralServerlessAzureRestEndpointModel,
     Phi3HFModel,
     RestEndpointModel,
+    TestModel,
 )
 
 __all__ = [
@@ -30,4 +31,5 @@
     LlamaServerlessAzureRestEndpointModel,
     LLaVAModel,
     RestEndpointModel,
+    TestModel,
 ]
diff --git a/eureka_ml_insights/models/models.py b/eureka_ml_insights/models/models.py
index 39bff8d..5681171 100644
--- a/eureka_ml_insights/models/models.py
+++ b/eureka_ml_insights/models/models.py
@@ -11,7 +11,7 @@
 import tiktoken
 from azure.identity import DefaultAzureCredential, get_bearer_token_provider
 
-from eureka_ml_insights.data_utils import GetKey
+from eureka_ml_insights.secret_management import get_secret
 
 
 @dataclass
@@ -77,10 +77,10 @@ def get_api_key(self):
         """
         This method is used to get the api_key for the models that require key-based authentication.
         Either api_key (str) or secret_key_params (dict) must be provided.
-        if api_key is not directly provided, secret_key_params must be provided to get the api_key using GetKey method.
+        if api_key is not directly provided, secret_key_params must be provided to get the api_key using get_secret method.
         """
         if self.api_key is None:
-            self.api_key = GetKey(**self.secret_key_params)
+            self.api_key = get_secret(**self.secret_key_params)
         return self.api_key
 
 
@@ -403,7 +403,9 @@ class AzureOpenAIClientMixIn:
     def get_client(self):
         from openai import AzureOpenAI
 
-        token_provider = get_bearer_token_provider(DefaultAzureCredential(), "https://cognitiveservices.azure.com/.default")
+        token_provider = get_bearer_token_provider(
+            DefaultAzureCredential(), "https://cognitiveservices.azure.com/.default"
+        )
         return AzureOpenAI(
             azure_endpoint=self.url,
             api_version=self.api_version,
@@ -982,3 +984,21 @@ def get_response(self, request):
 
     def handle_request_error(self, e):
         return False
+
+
+@dataclass
+class TestModel(Model):
+    # This class is used for testing purposes only. It only waits for a specified time and returns a response.
+    response_time: float = 0.1
+    model_output: str = "This is a test response."
+
+    def __post_init__(self):
+        self.n_output_tokens = self.count_tokens()
+
+    def generate(self, text_prompt, **kwargs):
+        return {
+            "model_output": self.model_output,
+            "is_valid": True,
+            "response_time": self.response_time,
+            "n_output_tokens": self.n_output_tokens,
+        }
diff --git a/eureka_ml_insights/secret_management/__init__.py b/eureka_ml_insights/secret_management/__init__.py
new file mode 100644
index 0000000..a1e5a89
--- /dev/null
+++ b/eureka_ml_insights/secret_management/__init__.py
@@ -0,0 +1 @@
+from .secret_key_utils import get_secret
diff --git a/eureka_ml_insights/data_utils/secret_key_utils.py b/eureka_ml_insights/secret_management/secret_key_utils.py
similarity index 96%
rename from eureka_ml_insights/data_utils/secret_key_utils.py
rename to eureka_ml_insights/secret_management/secret_key_utils.py
index ce3f329..ab4c61c 100644
--- a/eureka_ml_insights/data_utils/secret_key_utils.py
+++ b/eureka_ml_insights/secret_management/secret_key_utils.py
@@ -9,7 +9,7 @@
 logging.basicConfig(level=logging.INFO, format="%(filename)s - %(funcName)s - %(message)s")
 
 
-def GetKey(key_name: str, local_keys_path:Optional[str]=None, key_vault_url:Optional[str]=None) -> Optional[str]:
+def get_secret(key_name: str, local_keys_path:Optional[str]=None, key_vault_url:Optional[str]=None) -> Optional[str]:
     """This function retrieves a key from key vault or if it is locally cached in a file.
     args:
         key_name: str, the name of the key to retrieve.
@@ -129,4 +129,4 @@ def get_cached_keys_dict(local_keys_path: str) -> Dict[str, str]:
 if __name__ == "__main__":
     key_name = "aifeval-datasets"
     key_vault_url = "https://aifeval.vault.azure.net/"
-    GetKey(key_name, key_vault_url=key_vault_url)
+    get_secret(key_name, key_vault_url=key_vault_url)
diff --git a/eureka_ml_insights/user_configs/__init__.py b/eureka_ml_insights/user_configs/__init__.py
new file mode 100644
index 0000000..0896652
--- /dev/null
+++ b/eureka_ml_insights/user_configs/__init__.py
@@ -0,0 +1,113 @@
+from .aime import AIME_PIPELINE
+from .dna import DNA_PIPELINE
+from .drop import Drop_Experiment_Pipeline
+from .flenqa import FlenQA_Experiment_Pipeline
+from .geometer import GEOMETER_PIPELINE
+from .gpqa import GPQA_Experiment_Pipeline
+from .ifeval import IFEval_PIPELINE
+from .image_understanding.object_detection import (
+    OBJECT_DETECTION_PAIRS_LOCAL_PIPELINE,
+    OBJECT_DETECTION_PAIRS_PIPELINE,
+    OBJECT_DETECTION_SINGLE_LOCAL_PIPELINE,
+    OBJECT_DETECTION_SINGLE_PIPELINE,
+)
+from .image_understanding.object_recognition import (
+    OBJECT_RECOGNITION_PAIRS_LOCAL_PIPELINE,
+    OBJECT_RECOGNITION_PAIRS_PIPELINE,
+    OBJECT_RECOGNITION_SINGLE_LOCAL_PIPELINE,
+    OBJECT_RECOGNITION_SINGLE_PIPELINE,
+)
+from .image_understanding.spatial_reasoning import (
+    SPATIAL_REASONING_PAIRS_LOCAL_PIPELINE,
+    SPATIAL_REASONING_PAIRS_PIPELINE,
+    SPATIAL_REASONING_SINGLE_LOCAL_PIPELINE,
+    SPATIAL_REASONING_SINGLE_PIPELINE,
+)
+from .image_understanding.visual_prompting import (
+    VISUAL_PROMPTING_PAIRS_LOCAL_PIPELINE,
+    VISUAL_PROMPTING_PAIRS_PIPELINE,
+    VISUAL_PROMPTING_SINGLE_LOCAL_PIPELINE,
+    VISUAL_PROMPTING_SINGLE_PIPELINE,
+)
+from .kitab import (
+    GPT35_KITAB_ONE_BOOK_CONSTRAINT_PIPELINE,
+    KITAB_ONE_BOOK_CONSTRAINT_PIPELINE,
+    KITAB_ONE_BOOK_CONSTRAINT_PIPELINE_SELF_CONTEXT,
+    KITAB_ONE_BOOK_CONSTRAINT_PIPELINE_WITH_CONTEXT,
+    KITAB_TWO_BOOK_CONSTRAINT_PIPELINE,
+    KITAB_TWO_BOOK_CONSTRAINT_PIPELINE_WITH_CONTEXT,
+)
+from .mmmu import MMMU_BASELINE_PIPELINE
+from .nondeterminism import (
+    Geo_Nondeterminism,
+    IFEval_Nondeterminism,
+    Kitab_Nondeterminism,
+    MMMU_Nondeterminism,
+)
+from .toxigen import (
+    ToxiGen_Discriminative_PIPELINE,
+    ToxiGen_Generative_PIPELINE,
+)
+from .vision_language.maze import (
+    MAZE_PIPELINE,
+    MAZE_REPORTING_PIPELINE,
+    MAZE_TEXTONLY_PIPELINE,
+)
+from .vision_language.spatial_grid import (
+    SPATIAL_GRID_PIPELINE,
+    SPATIAL_GRID_REPORTING_PIPELINE,
+    SPATIAL_GRID_TEXTONLY_PIPELINE,
+)
+from .vision_language.spatial_map import (
+    SPATIAL_MAP_PIPELINE,
+    SPATIAL_MAP_REPORTING_PIPELINE,
+    SPATIAL_MAP_TEXTONLY_PIPELINE,
+)
+
+__all__ = [
+    OBJECT_DETECTION_PAIRS_PIPELINE,
+    OBJECT_DETECTION_SINGLE_PIPELINE,
+    OBJECT_DETECTION_PAIRS_LOCAL_PIPELINE,
+    OBJECT_DETECTION_SINGLE_LOCAL_PIPELINE,
+    OBJECT_RECOGNITION_PAIRS_PIPELINE,
+    OBJECT_RECOGNITION_SINGLE_PIPELINE,
+    OBJECT_RECOGNITION_PAIRS_LOCAL_PIPELINE,
+    OBJECT_RECOGNITION_SINGLE_LOCAL_PIPELINE,
+    SPATIAL_REASONING_PAIRS_PIPELINE,
+    SPATIAL_REASONING_SINGLE_PIPELINE,
+    SPATIAL_REASONING_PAIRS_LOCAL_PIPELINE,
+    SPATIAL_REASONING_SINGLE_LOCAL_PIPELINE,
+    VISUAL_PROMPTING_PAIRS_PIPELINE,
+    VISUAL_PROMPTING_SINGLE_PIPELINE,
+    VISUAL_PROMPTING_PAIRS_LOCAL_PIPELINE,
+    VISUAL_PROMPTING_SINGLE_LOCAL_PIPELINE,
+    SPATIAL_GRID_PIPELINE,
+    SPATIAL_GRID_TEXTONLY_PIPELINE,
+    SPATIAL_GRID_REPORTING_PIPELINE,
+    SPATIAL_MAP_PIPELINE,
+    SPATIAL_MAP_TEXTONLY_PIPELINE,
+    SPATIAL_MAP_REPORTING_PIPELINE,
+    MAZE_PIPELINE,
+    MAZE_TEXTONLY_PIPELINE,
+    MAZE_REPORTING_PIPELINE,
+    IFEval_PIPELINE,
+    FlenQA_Experiment_Pipeline,
+    GPQA_Experiment_Pipeline,
+    Drop_Experiment_Pipeline,
+    GEOMETER_PIPELINE,
+    MMMU_BASELINE_PIPELINE,
+    KITAB_ONE_BOOK_CONSTRAINT_PIPELINE,
+    KITAB_ONE_BOOK_CONSTRAINT_PIPELINE_WITH_CONTEXT,
+    KITAB_ONE_BOOK_CONSTRAINT_PIPELINE_SELF_CONTEXT,
+    KITAB_TWO_BOOK_CONSTRAINT_PIPELINE,
+    KITAB_TWO_BOOK_CONSTRAINT_PIPELINE_WITH_CONTEXT,
+    GPT35_KITAB_ONE_BOOK_CONSTRAINT_PIPELINE,
+    DNA_PIPELINE,
+    ToxiGen_Discriminative_PIPELINE,
+    ToxiGen_Generative_PIPELINE,
+    Geo_Nondeterminism,
+    MMMU_Nondeterminism,
+    IFEval_Nondeterminism,
+    Kitab_Nondeterminism,
+    AIME_PIPELINE,
+]
diff --git a/eureka_ml_insights/configs/aime.py b/eureka_ml_insights/user_configs/aime.py
similarity index 95%
rename from eureka_ml_insights/configs/aime.py
rename to eureka_ml_insights/user_configs/aime.py
index 670db9e..6408529 100644
--- a/eureka_ml_insights/configs/aime.py
+++ b/eureka_ml_insights/user_configs/aime.py
@@ -16,7 +16,7 @@
 from eureka_ml_insights.metrics.metrics_base import ExactMatch
 from eureka_ml_insights.metrics.reports import CountAggregator
 
-from .config import (
+from eureka_ml_insights.configs import (
     AggregatorConfig,
     DataProcessingConfig,
     DataSetConfig,
@@ -27,7 +27,7 @@
     PipelineConfig,
     PromptProcessingConfig,
 )
-from .experiment_config import ExperimentConfig
+from eureka_ml_insights.configs import ExperimentConfig
 
 
 class AIME_PIPELINE(ExperimentConfig):
diff --git a/eureka_ml_insights/configs/dna.py b/eureka_ml_insights/user_configs/dna.py
similarity index 97%
rename from eureka_ml_insights/configs/dna.py
rename to eureka_ml_insights/user_configs/dna.py
index 6210128..2df3d2d 100644
--- a/eureka_ml_insights/configs/dna.py
+++ b/eureka_ml_insights/user_configs/dna.py
@@ -18,7 +18,7 @@
 from eureka_ml_insights.data_utils.transform import AddColumn
 from eureka_ml_insights.metrics.reports import CountAggregator
 
-from .config import (
+from eureka_ml_insights.configs import (
     AggregatorConfig,
     DataProcessingConfig,
     DataSetConfig,
@@ -28,8 +28,8 @@
     PipelineConfig,
     PromptProcessingConfig,
 )
-from .experiment_config import ExperimentConfig
-from .model_configs import OAI_GPT4_1106_PREVIEW_CONFIG
+from eureka_ml_insights.configs import ExperimentConfig
+from eureka_ml_insights.configs.model_configs import OAI_GPT4_1106_PREVIEW_CONFIG
 
 
 class DNA_PIPELINE(ExperimentConfig):
diff --git a/eureka_ml_insights/configs/drop.py b/eureka_ml_insights/user_configs/drop.py
similarity index 97%
rename from eureka_ml_insights/configs/drop.py
rename to eureka_ml_insights/user_configs/drop.py
index dda1fda..7d90204 100644
--- a/eureka_ml_insights/configs/drop.py
+++ b/eureka_ml_insights/user_configs/drop.py
@@ -14,7 +14,7 @@
 )
 from eureka_ml_insights.metrics import AverageAggregator, MaxTokenF1ScoreMetric
 
-from .config import (
+from eureka_ml_insights.configs import (
     AggregatorConfig,
     DataSetConfig,
     EvalReportingConfig,
@@ -24,7 +24,7 @@
     PipelineConfig,
     PromptProcessingConfig,
 )
-from .experiment_config import ExperimentConfig
+from eureka_ml_insights.configs import ExperimentConfig
 
 """This file contains user defined configuration classes for the geometric reasoning task on geometer dataset.
 """
diff --git a/eureka_ml_insights/configs/flenqa.py b/eureka_ml_insights/user_configs/flenqa.py
similarity index 97%
rename from eureka_ml_insights/configs/flenqa.py
rename to eureka_ml_insights/user_configs/flenqa.py
index ae4c1ad..59ffbe1 100644
--- a/eureka_ml_insights/configs/flenqa.py
+++ b/eureka_ml_insights/user_configs/flenqa.py
@@ -17,7 +17,7 @@
 from eureka_ml_insights.data_utils.flenqa_utils import FlenQAOutputProcessor
 from eureka_ml_insights.metrics import CountAggregator, ExactMatch
 
-from .config import (
+from eureka_ml_insights.configs import (
     AggregatorConfig,
     DataProcessingConfig,
     DataSetConfig,
@@ -28,7 +28,7 @@
     PipelineConfig,
     PromptProcessingConfig,
 )
-from .experiment_config import ExperimentConfig
+from eureka_ml_insights.configs import ExperimentConfig
 
 
 class FlenQA_Experiment_Pipeline(ExperimentConfig):
diff --git a/eureka_ml_insights/configs/geometer.py b/eureka_ml_insights/user_configs/geometer.py
similarity index 96%
rename from eureka_ml_insights/configs/geometer.py
rename to eureka_ml_insights/user_configs/geometer.py
index e084318..addbaa9 100644
--- a/eureka_ml_insights/configs/geometer.py
+++ b/eureka_ml_insights/user_configs/geometer.py
@@ -11,7 +11,7 @@
 )
 from eureka_ml_insights.metrics import CountAggregator, GeoMCQMetric
 
-from .config import (
+from eureka_ml_insights.configs import(
     AggregatorConfig,
     DataSetConfig,
     EvalReportingConfig,
@@ -21,7 +21,7 @@
     PipelineConfig,
     PromptProcessingConfig,
 )
-from .experiment_config import ExperimentConfig
+from eureka_ml_insights.configs import ExperimentConfig
 
 """This file contains user defined configuration classes for the geometric reasoning task on geometer dataset.
 """
diff --git a/eureka_ml_insights/configs/gpqa.py b/eureka_ml_insights/user_configs/gpqa.py
similarity index 97%
rename from eureka_ml_insights/configs/gpqa.py
rename to eureka_ml_insights/user_configs/gpqa.py
index 64340f7..56ac28a 100644
--- a/eureka_ml_insights/configs/gpqa.py
+++ b/eureka_ml_insights/user_configs/gpqa.py
@@ -15,7 +15,7 @@
 )
 from eureka_ml_insights.metrics import CountAggregator, ExactMatch
 
-from .config import (
+from eureka_ml_insights.configs import(
     AggregatorConfig,
     DataSetConfig,
     EvalReportingConfig,
@@ -25,7 +25,7 @@
     PipelineConfig,
     PromptProcessingConfig,
 )
-from .experiment_config import ExperimentConfig
+from eureka_ml_insights.configs import ExperimentConfig
 
 """This file contains user defined configuration classes for the geometric reasoning task on the GPQA dataset.
 """
diff --git a/eureka_ml_insights/configs/ifeval.py b/eureka_ml_insights/user_configs/ifeval.py
similarity index 98%
rename from eureka_ml_insights/configs/ifeval.py
rename to eureka_ml_insights/user_configs/ifeval.py
index a05a5a8..f1ef44d 100644
--- a/eureka_ml_insights/configs/ifeval.py
+++ b/eureka_ml_insights/user_configs/ifeval.py
@@ -20,7 +20,7 @@
     TwoColumnSumAverageAggregator,
 )
 
-from .config import (
+from eureka_ml_insights.configs import(
     AggregatorConfig,
     DataProcessingConfig,
     DataSetConfig,
@@ -31,7 +31,7 @@
     PipelineConfig,
     PromptProcessingConfig,
 )
-from .experiment_config import ExperimentConfig
+from eureka_ml_insights.configs import ExperimentConfig
 
 
 class IFEval_PIPELINE(ExperimentConfig):
diff --git a/eureka_ml_insights/configs/image_understanding/__init__.py b/eureka_ml_insights/user_configs/image_understanding/__init__.py
similarity index 100%
rename from eureka_ml_insights/configs/image_understanding/__init__.py
rename to eureka_ml_insights/user_configs/image_understanding/__init__.py
diff --git a/eureka_ml_insights/configs/image_understanding/common.py b/eureka_ml_insights/user_configs/image_understanding/common.py
similarity index 95%
rename from eureka_ml_insights/configs/image_understanding/common.py
rename to eureka_ml_insights/user_configs/image_understanding/common.py
index d066d58..a2a2c8a 100644
--- a/eureka_ml_insights/configs/image_understanding/common.py
+++ b/eureka_ml_insights/user_configs/image_understanding/common.py
@@ -2,7 +2,7 @@
 
 from eureka_ml_insights.data_utils import DataReader, MMDataLoader
 
-from ..config import DataSetConfig
+from eureka_ml_insights.configs import DataSetConfig
 
 
 class LOCAL_DATA_PIPELINE:
diff --git a/eureka_ml_insights/configs/image_understanding/object_detection.py b/eureka_ml_insights/user_configs/image_understanding/object_detection.py
similarity index 99%
rename from eureka_ml_insights/configs/image_understanding/object_detection.py
rename to eureka_ml_insights/user_configs/image_understanding/object_detection.py
index 40820c2..8585184 100644
--- a/eureka_ml_insights/configs/image_understanding/object_detection.py
+++ b/eureka_ml_insights/user_configs/image_understanding/object_detection.py
@@ -17,7 +17,7 @@
     CocoObjectDetectionMetric,
 )
 
-from ..config import (
+from eureka_ml_insights.configs import (
     AggregatorConfig,
     DataSetConfig,
     EvalReportingConfig,
diff --git a/eureka_ml_insights/configs/image_understanding/object_recognition.py b/eureka_ml_insights/user_configs/image_understanding/object_recognition.py
similarity index 99%
rename from eureka_ml_insights/configs/image_understanding/object_recognition.py
rename to eureka_ml_insights/user_configs/image_understanding/object_recognition.py
index c238a8a..0d7c2ae 100644
--- a/eureka_ml_insights/configs/image_understanding/object_recognition.py
+++ b/eureka_ml_insights/user_configs/image_understanding/object_recognition.py
@@ -18,7 +18,7 @@
     ObjectRecognitionMetric,
 )
 
-from ..config import (
+from eureka_ml_insights.configs import (
     AggregatorConfig,
     DataSetConfig,
     EvalReportingConfig,
diff --git a/eureka_ml_insights/configs/image_understanding/spatial_reasoning.py b/eureka_ml_insights/user_configs/image_understanding/spatial_reasoning.py
similarity index 99%
rename from eureka_ml_insights/configs/image_understanding/spatial_reasoning.py
rename to eureka_ml_insights/user_configs/image_understanding/spatial_reasoning.py
index 9f13ecf..c2cbfa0 100644
--- a/eureka_ml_insights/configs/image_understanding/spatial_reasoning.py
+++ b/eureka_ml_insights/user_configs/image_understanding/spatial_reasoning.py
@@ -20,7 +20,7 @@
     SpatialAndLayoutReasoningMetric,
 )
 
-from ..config import (
+from eureka_ml_insights.configs import (
     AggregatorConfig,
     DataSetConfig,
     EvalReportingConfig,
diff --git a/eureka_ml_insights/configs/image_understanding/visual_prompting.py b/eureka_ml_insights/user_configs/image_understanding/visual_prompting.py
similarity index 99%
rename from eureka_ml_insights/configs/image_understanding/visual_prompting.py
rename to eureka_ml_insights/user_configs/image_understanding/visual_prompting.py
index bb9438d..4adaefd 100644
--- a/eureka_ml_insights/configs/image_understanding/visual_prompting.py
+++ b/eureka_ml_insights/user_configs/image_understanding/visual_prompting.py
@@ -18,7 +18,7 @@
     ObjectRecognitionMetric,
 )
 
-from ..config import (
+from eureka_ml_insights.configs import (
     AggregatorConfig,
     DataSetConfig,
     EvalReportingConfig,
diff --git a/eureka_ml_insights/configs/kitab.py b/eureka_ml_insights/user_configs/kitab.py
similarity index 99%
rename from eureka_ml_insights/configs/kitab.py
rename to eureka_ml_insights/user_configs/kitab.py
index 97bdd63..0decdab 100644
--- a/eureka_ml_insights/configs/kitab.py
+++ b/eureka_ml_insights/user_configs/kitab.py
@@ -22,7 +22,7 @@
 from eureka_ml_insights.metrics import AverageAggregator
 from eureka_ml_insights.metrics.kitab_metrics import KitabMetric
 
-from .config import (
+from eureka_ml_insights.configs import(
     AggregatorConfig,
     DataProcessingConfig,
     DataSetConfig,
@@ -33,7 +33,7 @@
     PipelineConfig,
     PromptProcessingConfig,
 )
-from .experiment_config import ExperimentConfig
+from eureka_ml_insights.configs import ExperimentConfig
 
 # Example template for an Azure Language Service config
 # required for running entity recognition for evaluating human and city name
diff --git a/eureka_ml_insights/configs/mmmu.py b/eureka_ml_insights/user_configs/mmmu.py
similarity index 98%
rename from eureka_ml_insights/configs/mmmu.py
rename to eureka_ml_insights/user_configs/mmmu.py
index b7c6980..524c73a 100644
--- a/eureka_ml_insights/configs/mmmu.py
+++ b/eureka_ml_insights/user_configs/mmmu.py
@@ -20,7 +20,7 @@
 )
 from eureka_ml_insights.metrics import CountAggregator, MMMUMetric
 
-from .config import (
+from eureka_ml_insights.configs import(
     AggregatorConfig,
     DataSetConfig,
     EvalReportingConfig,
diff --git a/eureka_ml_insights/configs/nondeterminism.py b/eureka_ml_insights/user_configs/nondeterminism.py
similarity index 100%
rename from eureka_ml_insights/configs/nondeterminism.py
rename to eureka_ml_insights/user_configs/nondeterminism.py
diff --git a/eureka_ml_insights/configs/specifications/aime_spec.txt b/eureka_ml_insights/user_configs/specifications/aime_spec.txt
similarity index 100%
rename from eureka_ml_insights/configs/specifications/aime_spec.txt
rename to eureka_ml_insights/user_configs/specifications/aime_spec.txt
diff --git a/eureka_ml_insights/configs/specifications/dna_spec.txt b/eureka_ml_insights/user_configs/specifications/dna_spec.txt
similarity index 100%
rename from eureka_ml_insights/configs/specifications/dna_spec.txt
rename to eureka_ml_insights/user_configs/specifications/dna_spec.txt
diff --git a/eureka_ml_insights/configs/specifications/flenqa_spec.txt b/eureka_ml_insights/user_configs/specifications/flenqa_spec.txt
similarity index 100%
rename from eureka_ml_insights/configs/specifications/flenqa_spec.txt
rename to eureka_ml_insights/user_configs/specifications/flenqa_spec.txt
diff --git a/eureka_ml_insights/configs/specifications/geometer_spec.txt b/eureka_ml_insights/user_configs/specifications/geometer_spec.txt
similarity index 100%
rename from eureka_ml_insights/configs/specifications/geometer_spec.txt
rename to eureka_ml_insights/user_configs/specifications/geometer_spec.txt
diff --git a/eureka_ml_insights/configs/specifications/ifeval_spec.txt b/eureka_ml_insights/user_configs/specifications/ifeval_spec.txt
similarity index 100%
rename from eureka_ml_insights/configs/specifications/ifeval_spec.txt
rename to eureka_ml_insights/user_configs/specifications/ifeval_spec.txt
diff --git a/eureka_ml_insights/configs/specifications/image_understanding.txt b/eureka_ml_insights/user_configs/specifications/image_understanding.txt
similarity index 100%
rename from eureka_ml_insights/configs/specifications/image_understanding.txt
rename to eureka_ml_insights/user_configs/specifications/image_understanding.txt
diff --git a/eureka_ml_insights/configs/specifications/kitab_spec.txt b/eureka_ml_insights/user_configs/specifications/kitab_spec.txt
similarity index 100%
rename from eureka_ml_insights/configs/specifications/kitab_spec.txt
rename to eureka_ml_insights/user_configs/specifications/kitab_spec.txt
diff --git a/eureka_ml_insights/configs/specifications/mmmu.txt b/eureka_ml_insights/user_configs/specifications/mmmu.txt
similarity index 100%
rename from eureka_ml_insights/configs/specifications/mmmu.txt
rename to eureka_ml_insights/user_configs/specifications/mmmu.txt
diff --git a/eureka_ml_insights/configs/specifications/physical_holoassist_spec.txt b/eureka_ml_insights/user_configs/specifications/physical_holoassist_spec.txt
similarity index 100%
rename from eureka_ml_insights/configs/specifications/physical_holoassist_spec.txt
rename to eureka_ml_insights/user_configs/specifications/physical_holoassist_spec.txt
diff --git a/eureka_ml_insights/configs/specifications/toxigen_spec.txt b/eureka_ml_insights/user_configs/specifications/toxigen_spec.txt
similarity index 100%
rename from eureka_ml_insights/configs/specifications/toxigen_spec.txt
rename to eureka_ml_insights/user_configs/specifications/toxigen_spec.txt
diff --git a/eureka_ml_insights/configs/specifications/vision_language.txt b/eureka_ml_insights/user_configs/specifications/vision_language.txt
similarity index 100%
rename from eureka_ml_insights/configs/specifications/vision_language.txt
rename to eureka_ml_insights/user_configs/specifications/vision_language.txt
diff --git a/eureka_ml_insights/configs/toxigen.py b/eureka_ml_insights/user_configs/toxigen.py
similarity index 98%
rename from eureka_ml_insights/configs/toxigen.py
rename to eureka_ml_insights/user_configs/toxigen.py
index 6c2583b..ab9fb91 100644
--- a/eureka_ml_insights/configs/toxigen.py
+++ b/eureka_ml_insights/user_configs/toxigen.py
@@ -25,7 +25,7 @@
     ExactMatch,
 )
 
-from .config import (
+from eureka_ml_insights.configs import(
     AggregatorConfig,
     DataProcessingConfig,
     DataSetConfig,
@@ -35,8 +35,8 @@
     PipelineConfig,
     PromptProcessingConfig,
 )
-from .experiment_config import ExperimentConfig
-from .model_configs import OAI_GPT4_1106_PREVIEW_CONFIG
+from eureka_ml_insights.configs import ExperimentConfig
+from eureka_ml_insights.configs.model_configs import OAI_GPT4_1106_PREVIEW_CONFIG
 
 """This class specifies the config for running Toxigen discriminative benchmark."""
 
diff --git a/eureka_ml_insights/configs/vision_language/__init__.py b/eureka_ml_insights/user_configs/vision_language/__init__.py
similarity index 100%
rename from eureka_ml_insights/configs/vision_language/__init__.py
rename to eureka_ml_insights/user_configs/vision_language/__init__.py
diff --git a/eureka_ml_insights/configs/vision_language/maze.py b/eureka_ml_insights/user_configs/vision_language/maze.py
similarity index 99%
rename from eureka_ml_insights/configs/vision_language/maze.py
rename to eureka_ml_insights/user_configs/vision_language/maze.py
index 0f8da2e..7294a65 100644
--- a/eureka_ml_insights/configs/vision_language/maze.py
+++ b/eureka_ml_insights/user_configs/vision_language/maze.py
@@ -14,7 +14,7 @@
 )
 from eureka_ml_insights.metrics import CaseInsensitiveMatch, CountAggregator
 
-from ..config import (
+from eureka_ml_insights.configs import (
     AggregatorConfig,
     DataSetConfig,
     EvalReportingConfig,
diff --git a/eureka_ml_insights/configs/vision_language/spatial_grid.py b/eureka_ml_insights/user_configs/vision_language/spatial_grid.py
similarity index 99%
rename from eureka_ml_insights/configs/vision_language/spatial_grid.py
rename to eureka_ml_insights/user_configs/vision_language/spatial_grid.py
index 92166eb..c45d6d7 100644
--- a/eureka_ml_insights/configs/vision_language/spatial_grid.py
+++ b/eureka_ml_insights/user_configs/vision_language/spatial_grid.py
@@ -13,7 +13,7 @@
     SequenceTransform,
 )
 from eureka_ml_insights.metrics import CaseInsensitiveMatch, CountAggregator
-from ..config import (
+from eureka_ml_insights.configs import (
     AggregatorConfig,
     DataSetConfig,
     EvalReportingConfig,
diff --git a/eureka_ml_insights/configs/vision_language/spatial_map.py b/eureka_ml_insights/user_configs/vision_language/spatial_map.py
similarity index 99%
rename from eureka_ml_insights/configs/vision_language/spatial_map.py
rename to eureka_ml_insights/user_configs/vision_language/spatial_map.py
index 7a4cfdf..1453335 100644
--- a/eureka_ml_insights/configs/vision_language/spatial_map.py
+++ b/eureka_ml_insights/user_configs/vision_language/spatial_map.py
@@ -14,7 +14,7 @@
 )
 from eureka_ml_insights.metrics import CaseInsensitiveMatch, CountAggregator
 
-from ..config import (
+from eureka_ml_insights.configs import (
     AggregatorConfig,
     DataSetConfig,
     EvalReportingConfig,
diff --git a/main.py b/main.py
index 5e6b143..8eed49c 100755
--- a/main.py
+++ b/main.py
@@ -3,7 +3,7 @@
 import argparse
 import logging
 
-from eureka_ml_insights import configs
+from eureka_ml_insights import user_configs as configs
 from eureka_ml_insights.configs import model_configs
 from eureka_ml_insights.core import Pipeline
 
diff --git a/tests/pipeline_tests.py b/tests/pipeline_tests.py
index 071c1d8..1d86e33 100644
--- a/tests/pipeline_tests.py
+++ b/tests/pipeline_tests.py
@@ -12,7 +12,14 @@
 path = str(Path(Path(__file__).parent.absolute()).parent.absolute())  # noqa
 sys.path.insert(0, path)  # noqa
 
-from eureka_ml_insights.configs import (
+from eureka_ml_insights.configs import MetricConfig, ModelConfig
+from eureka_ml_insights.core import Pipeline
+from eureka_ml_insights.data_utils.transform import (
+    RunPythonTransform,
+    SamplerTransform,
+    SequenceTransform,
+)
+from eureka_ml_insights.user_configs import (
     AIME_PIPELINE,
     DNA_PIPELINE,
     GEOMETER_PIPELINE,
@@ -28,20 +35,12 @@
     SPATIAL_MAP_TEXTONLY_PIPELINE,
     SPATIAL_REASONING_SINGLE_PIPELINE,
     VISUAL_PROMPTING_SINGLE_PIPELINE,
-    GPQA_Experiment_Pipeline,
     Drop_Experiment_Pipeline,
+    GPQA_Experiment_Pipeline,
     IFEval_PIPELINE,
-    MetricConfig,
-    ModelConfig,
     ToxiGen_Discriminative_PIPELINE,
     ToxiGen_Generative_PIPELINE,
 )
-from eureka_ml_insights.core import Pipeline
-from eureka_ml_insights.data_utils.transform import (
-    RunPythonTransform,
-    SamplerTransform,
-    SequenceTransform,
-)
 from tests.test_utils import (
     DetectionTestModel,
     DNAEvaluationInferenceTestModel,
@@ -262,6 +261,7 @@ def configure_pipeline(self):
         }
         return config
 
+
 class TEST_TOXIGEN_GEN_PIPELINE(ToxiGen_Generative_PIPELINE):
     def configure_pipeline(self):
         config = super().configure_pipeline(model_config=ModelConfig(GenericTestModel, {}))
@@ -297,7 +297,8 @@ def configure_pipeline(self):
             "n_iter": N_ITER,
         }
         return config
-      
+
+
 class TEST_DROP_PIPELINE(Drop_Experiment_Pipeline):
     # Test config the Drop benchmark with TestModel and TestDataLoader
     def configure_pipeline(self):
@@ -462,14 +463,17 @@ class TOXIGEN_PipelineTest(PipelineTest, unittest.TestCase):
     def get_config(self):
         return TEST_TOXIGEN_PIPELINE().pipeline_config
 
+
 class TOXIGEN_GEN_PipelineTest(PipelineTest, unittest.TestCase):
     def get_config(self):
         return TEST_TOXIGEN_GEN_PIPELINE().pipeline_config
 
+
 class KITAB_ONE_BOOK_CONSTRAINT_PIPELINE_PipelineTest(PipelineTest, unittest.TestCase):
     def get_config(self):
         return TEST_KITAB_ONE_BOOK_CONSTRAINT_PIPELINE().pipeline_config
 
+
 @unittest.skipIf("skip_tests_with_missing_ds" in os.environ, "Missing public dataset. TODO: revert")
 class GPQA_PipelineTest(PipelineTest, unittest.TestCase):
     def get_config(self):