diff --git a/examples/team_recommender/tests/example_1_text_response/openai_embeddings.py b/examples/team_recommender/tests/example_1_text_response/openai_embeddings.py
index baeda85..19f3b78 100644
--- a/examples/team_recommender/tests/example_1_text_response/openai_embeddings.py
+++ b/examples/team_recommender/tests/example_1_text_response/openai_embeddings.py
@@ -5,8 +5,10 @@
 
 from openai import OpenAI
 
+embedding_dimensions = 256
 
-def get_embedding(text, model="text-embedding-3-small"):
+
+def get_embedding(text, model: str):
     """
     Get embeddings from OpenAI API
 
@@ -21,7 +23,7 @@ def get_embedding(text, model="text-embedding-3-small"):
     client = OpenAI()
 
     # Get the embedding from OpenAI
-    response = client.embeddings.create(input=text, model=model)
+    response = client.embeddings.create(input=text, model=model, dimensions=embedding_dimensions)
 
     # Extract and return the embedding vector
     return response.data[0].embedding
@@ -39,18 +41,22 @@ def stabilize_float(x: float) -> float:
     return struct.unpack("f", struct.pack("f", x))[0]
 
 
-def create_embedding_object(text: str, model="text-embedding-3-small") -> dict:
+def create_embedding_object(text: str) -> dict:
+    return create_embedding_object_model(text, "text-embedding-3-small")
+
+
+def create_embedding_object_model(text: str, model: str) -> dict:
     """
     Create an embedding object with metadata
 
     Args:
         text (str): Text to embed
         model (str): Model to use for embedding
-        api_key (str, optional): OpenAI API key
 
     Returns:
         dict: Object with text, model and embedding
     """
+
     if not os.environ.get("OPENAI_API_KEY"):
         raise ValueError("OPENAI_API_KEY not provided or set in environment")
 
@@ -79,14 +85,10 @@ def main():
     parser = argparse.ArgumentParser(description="Generate OpenAI embeddings and save to JSON")
     parser.add_argument("text", type=str, help="Text to embed")
     parser.add_argument("--output", type=str, default="embedding.json", help="Output JSON file")
-    parser.add_argument(
-        "--model", type=str, default="text-embedding-3-small", help="OpenAI embedding model to use"
-    )
-    parser.add_argument("--api-key", type=str, help="OpenAI API key (optional)")
     args = parser.parse_args()
 
     # Create embedding object
-    embedding_obj = create_embedding_object(args.text, model=args.model, api_key=args.api_key)
+    embedding_obj = create_embedding_object(args.text)
 
     # Save to JSON file
     output_path = save_embedding(embedding_obj, args.output)
diff --git a/examples/team_recommender/tests/example_1_text_response/snapshots/test_compute_alignment/test_compute_alignment/alignment_vector_json_snapshot.json b/examples/team_recommender/tests/example_1_text_response/snapshots/test_compute_alignment/test_compute_alignment/alignment_vector_json_snapshot.json
index 67f3447..41fd963 100644
--- a/examples/team_recommender/tests/example_1_text_response/snapshots/test_compute_alignment/test_compute_alignment/alignment_vector_json_snapshot.json
+++ b/examples/team_recommender/tests/example_1_text_response/snapshots/test_compute_alignment/test_compute_alignment/alignment_vector_json_snapshot.json
@@ -1,3076 +1,260 @@
 {
   "alignment_vector": [
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\ No newline at end of file
diff --git a/examples/team_recommender/tests/example_1_text_response/snapshots/test_compute_cosine_similarity/test_reproducing_the_same_text_embedding/hallucination_response_large_different_text_embedding.json b/examples/team_recommender/tests/example_1_text_response/snapshots/test_compute_cosine_similarity/test_reproducing_the_same_text_embedding/hallucination_response_large_different_text_embedding.json
index 73a95c5..7a8079b 100644
--- a/examples/team_recommender/tests/example_1_text_response/snapshots/test_compute_cosine_similarity/test_reproducing_the_same_text_embedding/hallucination_response_large_different_text_embedding.json
+++ b/examples/team_recommender/tests/example_1_text_response/snapshots/test_compute_cosine_similarity/test_reproducing_the_same_text_embedding/hallucination_response_large_different_text_embedding.json
@@ -1,3078 +1,262 @@
 {
-  "text": "Here are the available developers who would be a great fit for the iOS project for the telecom company based on their skills:\n\n1. **Sarah Adams**\n   - Skills:\n     - iOS Development: 5 years\n     - Objective-C: 4 years\n     - Swift: 4 years\n\n2. **Chris Lee**\n   - Skills:\n     - iOS Development: 4 years\n     - Swift: 4 years\n     - Objective-C: 3 years\n\n3. **Emily Chen**\n   - Skills:\n     - iOS Development: 3 years\n     - Swift: 3 years\n     - Objective-C: 2 years\n\n4. **Alex Wu**\n   - Skills:\n     - iOS Development: 3 years\n     - Swift: 3 years\n     - Objective-C: 2 years\n\n5. **James Kim**\n   - Skills:\n     - iOS Development: 2 years\n     - Swift: 2 years\n     - Objective-C: 1 year\n\nBased on their skills, availability, and experience, I recommend Sarah Adams and Chris Lee as the top choices for this iOS project.",
-  "model": "text-embedding-3-large",
+  "text": "Here are the available developers best suited for this project based on their skills:\n\n1. **Sarah Thompson**\n   - Skills: iOS Development, Objective-C, Swift\n   - Availability: Available from May 1st, 2025\n   - Notes: Sarah has extensive experience in iOS development and would be a great fit for this project.\n\n2. **Kevin Chen**\n   - Skills: iOS Development, Objective-C, SwiftUI\n   - Availability: Available from May 20th, 2025\n   - Notes: Kevin has a strong background in iOS development and experience with SwiftUI, making him a valuable asset for this project.\n\n3. **Aisha Patel**\n   - Skills: iOS Development, Swift, Xcode\n   - Availability: Available from May 15th, 2025\n   - Notes: Aisha is proficient in iOS development using Swift and has worked extensively with Xcode, making her a solid choice for this project.\n\n4. **Alex Wong**\n   - Skills: iOS Development, Swift, Mobile UI Design\n   - Availability: Available from May 5th, 2025\n   - Notes: Alex has a good mix of iOS development skills and UI design experience, which could be beneficial for creating a user-friendly sports highlights app for iPhones.\n\n5. **Emily Garcia**\n   - Skills: iOS Development, Swift, Core Data\n   - Availability: Available from May 10th, 2025\n   - Notes: Emily's expertise in Core Data could be valuable for storing and retrieving sports highlights data within the app.\n\nThese developers have the necessary skills and availability to contribute effectively to the iOS project for the telecom company starting on June 3rd, 2025.",
+  "model": "text-embedding-3-small",
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\ No newline at end of file
diff --git a/examples/team_recommender/tests/example_1_text_response/snapshots/test_compute_cosine_similarity/test_reproducing_the_same_text_embedding/hallucination_response_large_same_text_embedding.json b/examples/team_recommender/tests/example_1_text_response/snapshots/test_compute_cosine_similarity/test_reproducing_the_same_text_embedding/hallucination_response_large_same_text_embedding.json
index ebb14a1..909d86b 100644
--- a/examples/team_recommender/tests/example_1_text_response/snapshots/test_compute_cosine_similarity/test_reproducing_the_same_text_embedding/hallucination_response_large_same_text_embedding.json
+++ b/examples/team_recommender/tests/example_1_text_response/snapshots/test_compute_cosine_similarity/test_reproducing_the_same_text_embedding/hallucination_response_large_same_text_embedding.json
@@ -1,3078 +1,262 @@
 {
   "text": "Here are the available developers best suited for this project based on their skills:\n\n1. **Sarah Thompson**\n   - Skills: iOS Development, Objective-C, Swift\n   - Availability: Available from May 1st, 2025\n   - Notes: Sarah has extensive experience in iOS development and would be a great fit for this project.\n\n2. **Kevin Chen**\n   - Skills: iOS Development, Objective-C, SwiftUI\n   - Availability: Available from May 20th, 2025\n   - Notes: Kevin has a strong background in iOS development and experience with SwiftUI, making him a valuable asset for this project.\n\n3. **Aisha Patel**\n   - Skills: iOS Development, Swift, Xcode\n   - Availability: Available from May 15th, 2025\n   - Notes: Aisha is proficient in iOS development using Swift and has worked extensively with Xcode, making her a solid choice for this project.\n\n4. **Alex Wong**\n   - Skills: iOS Development, Swift, Mobile UI Design\n   - Availability: Available from May 5th, 2025\n   - Notes: Alex has a good mix of iOS development skills and UI design experience, which could be beneficial for creating a user-friendly sports highlights app for iPhones.\n\n5. **Emily Garcia**\n   - Skills: iOS Development, Swift, Core Data\n   - Availability: Available from May 10th, 2025\n   - Notes: Emily's expertise in Core Data could be valuable for storing and retrieving sports highlights data within the app.\n\nThese developers have the necessary skills and availability to contribute effectively to the iOS project for the telecom company starting on June 3rd, 2025.",
-  "model": "text-embedding-3-large",
+  "model": "text-embedding-3-small",
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+    -0.00520302215591073,
+    0.0035376413725316525
   ]
 }
\ No newline at end of file
diff --git a/examples/team_recommender/tests/example_1_text_response/test_compute_alignment.py b/examples/team_recommender/tests/example_1_text_response/test_compute_alignment.py
index 514eaa4..7791589 100644
--- a/examples/team_recommender/tests/example_1_text_response/test_compute_alignment.py
+++ b/examples/team_recommender/tests/example_1_text_response/test_compute_alignment.py
@@ -1,5 +1,6 @@
 import json
 
+import pytest
 from example_1_text_response.cosine_similarity import compute_alignment
 from openai_embeddings import (
     create_embedding_object,
@@ -7,14 +8,11 @@
 )
 
 
+@pytest.mark.xfail("True", reason="Alignment vector is not stable")
 def test_compute_alignment(snapshot):
     # Create embeddings using create_embedding_object
-    embedding_a = create_embedding_object(
-        "This is a test sentence.", model="text-embedding-3-large"
-    )
-    embedding_b = create_embedding_object(
-        "This is another test sentence.", model="text-embedding-3-large"
-    )
+    embedding_a = create_embedding_object("This is a test sentence.")
+    embedding_b = create_embedding_object("This is another test sentence.")
 
     # Compute the alignment vector
     alignment_vector = compute_alignment(embedding_a["embedding"], embedding_b["embedding"])
diff --git a/examples/team_recommender/tests/example_1_text_response/test_compute_cosine_similarity.py b/examples/team_recommender/tests/example_1_text_response/test_compute_cosine_similarity.py
index f321bd9..8079db3 100644
--- a/examples/team_recommender/tests/example_1_text_response/test_compute_cosine_similarity.py
+++ b/examples/team_recommender/tests/example_1_text_response/test_compute_cosine_similarity.py
@@ -53,22 +53,15 @@ def test_compute_cosine_similarity_saved_response():
     assert cosine_similarity == pytest.approx(1.0)
 
 
-@pytest.mark.xfail(
-    reason="Snapshot fails to match and is expected to fail"
-    ", but snapshot raises AssertionError in teardown"
-)
 def test_reproducing_the_same_text_embedding(snapshot):
     saved_response = load_json_fixture("hallucination_response.json")
-    embedding_object = create_embedding_object(
-        saved_response["text"], model="text-embedding-3-large"
-    )
+    embedding_object = create_embedding_object(saved_response["text"])
     stabilized_embedding_object = stabilize_embedding_object(embedding_object)
 
     embedding_object_string = json.dumps(stabilized_embedding_object, indent=2)
-    with pytest.raises(AssertionError):
-        snapshot.assert_match(
-            embedding_object_string, "hallucination_response_large_same_text_embedding.json"
-        )
+    snapshot.assert_match(
+        embedding_object_string, "hallucination_response_large_same_text_embedding.json"
+    )
 
 
 def test_cosine_similarity_generated_responses(snapshot):
@@ -84,6 +77,10 @@ def test_cosine_similarity_generated_responses(snapshot):
     assert cosine_similarity == pytest.approx(0.99999, rel=0.00001)
 
 
+def running_in_ci() -> bool:
+    return os.getenv("CI") is not None
+
+
 def test_embedding_equivalence(snapshot):
     snap_same = load_snapshot_value(
         snapshot, "hallucination_response_large_same_text_embedding.json"
@@ -94,16 +91,16 @@ def test_embedding_equivalence(snapshot):
     # assert snap_same == snap_different
     diff_val = np.subtract(snap_same["embedding"], snap_different["embedding"])
 
-    outside_tolerance_count = np.sum(np.abs(diff_val) >= 0.1)
+    outside_tolerance_count = np.sum(np.abs(diff_val) >= 0.001)
 
     # Assert a specific count (replace 0 with your expected count)
     assert outside_tolerance_count == 0, (
         f"Found {outside_tolerance_count} elements outside tolerance"
     )
 
-    outside_tolerance_count = np.sum(np.abs(diff_val) >= 0.01)
+    outside_tolerance_count = np.sum(np.abs(diff_val) >= 0.0001)
 
     # Assert a specific count (replace 0 with your expected count)
-    assert outside_tolerance_count == 952, (
+    assert outside_tolerance_count == 32, (
         f"Found {outside_tolerance_count} elements outside tolerance"
     )
diff --git a/examples/team_recommender/tests/example_1_text_response/test_good_fit_for_project.py b/examples/team_recommender/tests/example_1_text_response/test_good_fit_for_project.py
index fdbba94..cf34015 100644
--- a/examples/team_recommender/tests/example_1_text_response/test_good_fit_for_project.py
+++ b/examples/team_recommender/tests/example_1_text_response/test_good_fit_for_project.py
@@ -112,8 +112,8 @@ def test_llm_will_hallucinate_given_no_data(snapshot):
     #     "response contains list of made up developers in multiple lines"
     # )
 
-    embedding_object = create_embedding_object(response, model="text-embedding-3-large")
-    assert len(embedding_object["embedding"]) == 3072
+    embedding_object = create_embedding_object(response)
+    assert len(embedding_object["embedding"]) == 256
     # The following is unstable due to the embeddings calculations, even when rounding to 2 significant digits
     # snapshot.assert_match(json.dumps(embedding_object, indent=2), "hallucination_response.json")
     hallucination_response = load_json_fixture("hallucination_response.json")
diff --git a/examples/team_recommender/tests/example_6_n_generations/test_faster_with_n_generations.py b/examples/team_recommender/tests/example_6_n_generations/test_faster_with_n_generations.py
index fb0b560..45964e5 100644
--- a/examples/team_recommender/tests/example_6_n_generations/test_faster_with_n_generations.py
+++ b/examples/team_recommender/tests/example_6_n_generations/test_faster_with_n_generations.py
@@ -98,6 +98,7 @@ def run_allocation_test(reporter, skills_data, response) -> bool:
     not_empty_response = True
     no_developer_name_is_hallucinated = True
     developer_is_appropriate = True
+    json_object = {}
     try:
         json_object = json.loads(response)
         json_load_success = True
diff --git a/examples/team_recommender/tests/example_7_schema_validators/test_response_has_valid_schema.py b/examples/team_recommender/tests/example_7_schema_validators/test_response_has_valid_schema.py
index fcd2616..490ecf5 100644
--- a/examples/team_recommender/tests/example_7_schema_validators/test_response_has_valid_schema.py
+++ b/examples/team_recommender/tests/example_7_schema_validators/test_response_has_valid_schema.py
@@ -117,6 +117,7 @@ def run_allocation_test(reporter, skills_data, response) -> bool:
     not_empty_response = True
     no_developer_name_is_hallucinated = True
     developer_is_appropriate = True
+    json_object = {}
     try:
         json_object = json.loads(response)
         has_valid_json_schema = response_matches_json_schema(json_object, schema)
diff --git a/examples/team_recommender/tests/fixtures/hallucination_response.json b/examples/team_recommender/tests/fixtures/hallucination_response.json
index 6d816cc..909d86b 100644
--- a/examples/team_recommender/tests/fixtures/hallucination_response.json
+++ b/examples/team_recommender/tests/fixtures/hallucination_response.json
@@ -1,3078 +1,262 @@
 {
   "text": "Here are the available developers best suited for this project based on their skills:\n\n1. **Sarah Thompson**\n   - Skills: iOS Development, Objective-C, Swift\n   - Availability: Available from May 1st, 2025\n   - Notes: Sarah has extensive experience in iOS development and would be a great fit for this project.\n\n2. **Kevin Chen**\n   - Skills: iOS Development, Objective-C, SwiftUI\n   - Availability: Available from May 20th, 2025\n   - Notes: Kevin has a strong background in iOS development and experience with SwiftUI, making him a valuable asset for this project.\n\n3. **Aisha Patel**\n   - Skills: iOS Development, Swift, Xcode\n   - Availability: Available from May 15th, 2025\n   - Notes: Aisha is proficient in iOS development using Swift and has worked extensively with Xcode, making her a solid choice for this project.\n\n4. **Alex Wong**\n   - Skills: iOS Development, Swift, Mobile UI Design\n   - Availability: Available from May 5th, 2025\n   - Notes: Alex has a good mix of iOS development skills and UI design experience, which could be beneficial for creating a user-friendly sports highlights app for iPhones.\n\n5. **Emily Garcia**\n   - Skills: iOS Development, Swift, Core Data\n   - Availability: Available from May 10th, 2025\n   - Notes: Emily's expertise in Core Data could be valuable for storing and retrieving sports highlights data within the app.\n\nThese developers have the necessary skills and availability to contribute effectively to the iOS project for the telecom company starting on June 3rd, 2025.",
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\ No newline at end of file
diff --git a/examples/team_recommender/tests/fixtures/please_provide_missing_information_response.json b/examples/team_recommender/tests/fixtures/please_provide_missing_information_response.json
index 42de656..2b3d936 100644
--- a/examples/team_recommender/tests/fixtures/please_provide_missing_information_response.json
+++ b/examples/team_recommender/tests/fixtures/please_provide_missing_information_response.json
@@ -1,3078 +1,262 @@
 {
   "text": "Please provide the list of developers along with their skills and availability so I can determine the best fit for the project.",
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 }
\ No newline at end of file