diff --git a/tests/test_vision_agent.py b/tests/test_vision_agent.py
new file mode 100644
index 00000000..98df1f3f
--- /dev/null
+++ b/tests/test_vision_agent.py
@@ -0,0 +1,31 @@
+from vision_agent.agent.vision_agent import sample_n_evenly_spaced
+
+
+def test_sample_n_evenly_spaced_side_cases():
+    # Test for empty input
+    assert sample_n_evenly_spaced([], 0) == []
+    assert sample_n_evenly_spaced([], 1) == []
+
+    # Test for n = 0
+    assert sample_n_evenly_spaced([1, 2, 3, 4], 0) == []
+
+    # Test for n = 1
+    assert sample_n_evenly_spaced([1, 2, 3, 4], -1) == []
+    assert sample_n_evenly_spaced([1, 2, 3, 4], 5) == [1, 2, 3, 4]
+
+
+def test_sample_n_evenly_spaced_even_cases():
+    assert sample_n_evenly_spaced([1, 2, 3, 4, 5, 6], 2) == [1, 6]
+    assert sample_n_evenly_spaced([1, 2, 3, 4, 5, 6], 3) == [1, 3, 6]
+    assert sample_n_evenly_spaced([1, 2, 3, 4, 5, 6], 4) == [1, 3, 4, 6]
+    assert sample_n_evenly_spaced([1, 2, 3, 4, 5, 6], 5) == [1, 2, 3, 5, 6]
+    assert sample_n_evenly_spaced([1, 2, 3, 4, 5, 6], 6) == [1, 2, 3, 4, 5, 6]
+
+
+def test_sample_n_evenly_spaced_odd_cases():
+    assert sample_n_evenly_spaced([1, 2, 3, 4, 5, 6, 7], 2) == [1, 7]
+    assert sample_n_evenly_spaced([1, 2, 3, 4, 5, 6, 7], 3) == [1, 4, 7]
+    assert sample_n_evenly_spaced([1, 2, 3, 4, 5, 6, 7], 4) == [1, 3, 5, 7]
+    assert sample_n_evenly_spaced([1, 2, 3, 4, 5, 6, 7], 5) == [1, 3, 4, 5, 7]
+    assert sample_n_evenly_spaced([1, 2, 3, 4, 5, 6, 7], 6) == [1, 2, 3, 5, 6, 7]
+    assert sample_n_evenly_spaced([1, 2, 3, 4, 5, 6, 7], 7) == [1, 2, 3, 4, 5, 6, 7]
diff --git a/vision_agent/agent/vision_agent.py b/vision_agent/agent/vision_agent.py
index 93218e6c..514f8fa5 100644
--- a/vision_agent/agent/vision_agent.py
+++ b/vision_agent/agent/vision_agent.py
@@ -366,6 +366,20 @@ def _handle_viz_tools(
     return image_to_data
 
 
+def sample_n_evenly_spaced(lst: Sequence, n: int) -> Sequence:
+    if n <= 0:
+        return []
+    elif len(lst) == 0:
+        return []
+    elif n == 1:
+        return [lst[0]]
+    elif n >= len(lst):
+        return lst
+
+    spacing = (len(lst) - 1) / (n - 1)
+    return [lst[round(spacing * i)] for i in range(n)]
+
+
 def visualize_result(all_tool_results: List[Dict]) -> Sequence[Union[str, Path]]:
     image_to_data: Dict[str, Dict] = {}
     for tool_result in all_tool_results:
@@ -584,7 +598,7 @@ def chat_with_workflow(
             visualized_output = visualize_result(all_tool_results)
             all_tool_results.append({"visualized_output": visualized_output})
             if len(visualized_output) > 0:
-                reflection_images = visualized_output
+                reflection_images = sample_n_evenly_spaced(visualized_output, 3)
             elif image is not None:
                 reflection_images = [image]
             else:
diff --git a/vision_agent/lmm/lmm.py b/vision_agent/lmm/lmm.py
index a1fcc3c2..cc8861bd 100644
--- a/vision_agent/lmm/lmm.py
+++ b/vision_agent/lmm/lmm.py
@@ -9,10 +9,7 @@
 import requests
 from openai import AzureOpenAI, OpenAI
 
-from vision_agent.tools import (
-    CHOOSE_PARAMS,
-    SYSTEM_PROMPT,
-)
+from vision_agent.tools import CHOOSE_PARAMS, SYSTEM_PROMPT
 
 _LOGGER = logging.getLogger(__name__)
 
diff --git a/vision_agent/tools/__init__.py b/vision_agent/tools/__init__.py
index 60870b56..10daf7eb 100644
--- a/vision_agent/tools/__init__.py
+++ b/vision_agent/tools/__init__.py
@@ -12,12 +12,12 @@
     GroundingDINO,
     GroundingSAM,
     ImageCaption,
-    ZeroShotCounting,
-    VisualPromptCounting,
-    VisualQuestionAnswering,
     ImageQuestionAnswering,
     SegArea,
     SegIoU,
     Tool,
+    VisualPromptCounting,
+    VisualQuestionAnswering,
+    ZeroShotCounting,
     register_tool,
 )
diff --git a/vision_agent/tools/tools.py b/vision_agent/tools/tools.py
index 3bf2bfbf..32a998db 100644
--- a/vision_agent/tools/tools.py
+++ b/vision_agent/tools/tools.py
@@ -17,9 +17,9 @@
     normalize_bbox,
     rle_decode,
 )
+from vision_agent.lmm import OpenAILMM
 from vision_agent.tools.video import extract_frames_from_video
 from vision_agent.type_defs import LandingaiAPIKey
-from vision_agent.lmm import OpenAILMM
 
 _LOGGER = logging.getLogger(__name__)
 _LND_API_KEY = LandingaiAPIKey().api_key