diff --git a/docs/to-do.md b/docs/to-do.md
index b78b0f967..877aa1f56 100644
--- a/docs/to-do.md
+++ b/docs/to-do.md
@@ -10,7 +10,7 @@
 [ X ] Base Phi-3 template
 [   ] CoT template
 [   ] Few Shot template with examples
-[   ] Reflextion template
+[   ] Reflexion template
 
 
 ### Prompt Templates: Supporting Logic
diff --git a/src/text_generation/common/constants.py b/src/text_generation/common/constants.py
index bed11930b..68401d409 100644
--- a/src/text_generation/common/constants.py
+++ b/src/text_generation/common/constants.py
@@ -1,8 +1,8 @@
 class Constants:
-    ASSISTANT_TOKEN = "<|assistant|>"
-    END_TOKEN = "<|end|>"
-    SYSTEM_TOKEN = "<|system|>"
-    USER_TOKEN = "<|user|>"
+    ASSISTANT_TOKEN =   "<|assistant|>"
+    END_TOKEN =         "<|end|>"
+    SYSTEM_TOKEN =      "<|system|>"
+    USER_TOKEN =        "<|user|>"
 
     class PromptTemplateIds:
         PHI_3_MINI_4K_INSTRUCT_BASIC =              "phi-3-mini-4k-instruct-basic"
diff --git a/tests/integration/test_prompt_template_repository.py b/tests/integration/test_prompt_template_repository.py
index ea9ffec68..14596047a 100644
--- a/tests/integration/test_prompt_template_repository.py
+++ b/tests/integration/test_prompt_template_repository.py
@@ -1,5 +1,6 @@
 import pytest
-from langchain_core.prompts import PromptTemplate
+from langchain_core.prompts import PromptTemplate, FewShotPromptTemplate, FewShotPromptWithTemplates
+from langchain_core.example_selectors import SemanticSimilarityExampleSelector
 
 
 @pytest.mark.repository
@@ -18,4 +19,76 @@ def test_1_save_templates(constants, prompt_template_service):
     )
     id = constants.PromptTemplateIds.PHI_3_MINI_4K_INSTRUCT_BASIC
     
-    prompt_template_service.add(id, prompt_template)
\ No newline at end of file
+    prompt_template_service.add(id, prompt_template)
+
+
+
+@pytest.mark.repository
+def test_2_save_templates(constants, prompt_template_service):
+
+        examples = [
+            {
+                "input": "Explain quantum computing",
+                "bad_response": "Quantum computing is like, super complicated and uses quantum stuff. It's really hard to understand and involves particles and things."
+            },
+            {
+                "input": "How do I bake a cake?",
+                "bad_response": "Mix stuff together and put it in oven. Cook until done."
+            }
+        ]
+        
+        example_template = PromptTemplate(
+            input_variables=["input", "bad_response"],
+            template="""Question: {input}
+
+            BAD Response (avoid this style):
+            {bad_response}"""
+        )
+    
+        prompt_template = FewShotPromptTemplate(
+            examples=examples,
+            example_prompt=example_template,
+            prefix="Learn from these examples showing good vs bad responses:",
+            suffix="Question: {input}\n\nProvide a GOOD response:",
+            input_variables=["input"],
+            example_separator="\n" + "="*50 + "\n"
+        )
+    
+        # prompt_template.examples = []
+        # formatted = prompt_template.format(input="What is machine learning?")
+
+        id = constants.PromptTemplateIds.PHI_3_MINI_4K_INSTRUCT_FEW_SHOT_EXAMPLES
+        prompt_template_service.add(id, prompt_template)
+
+def test_2_take2(constants):
+    # Note: This requires embeddings and vector store
+    # For demonstration, we'll show the structure
+    
+    # Create example selector (you'd need actual embeddings)
+    example_selector = SemanticSimilarityExampleSelector.from_examples(
+        examples,
+        OpenAIEmbeddings(),  # Replace with your preferred embeddings
+        FAISS,
+        k=2  # Select top 2 most similar examples
+    )
+    
+    system_template = f"""{constants.SYSTEM_TOKEN}
+You are a helpful AI assistant. Use the following examples to understand the expected response format and answer accordingly.{PHI3_END_TOKEN}
+"""
+    
+    suffix_template = f"""{constants.USER_TOKEN}
+{{input}}{constants.END_TOKEN}
+{constants.ASSISTANT_TOKEN}
+"""
+    
+    # Create few-shot prompt with semantic selection
+    few_shot_prompt = FewShotPromptTemplate(
+        example_selector=example_selector,
+        example_prompt=example_prompt,
+        prefix=system_template,
+        suffix=suffix_template,
+        input_variables=["input"],
+        example_separator="\n"
+    )
+    
+    return few_shot_prompt
\ No newline at end of file