diff --git a/Dockerfile b/Dockerfile
index c055f55..48e2b24 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -2,16 +2,16 @@
 # Docker image for the Tool Router (based on the official LiteLLM image)
 # ---------------------------------------------------------------
 # Why use the official base?
-# • It already contains the core LiteLLM binaries and entrypoint
-# • Smaller image size (no extra OS packages we don’t need)
-# • Keeps the same security update cadence as the official image
+# - It already contains the core LiteLLM binaries and entrypoint
+# - Smaller image size (no extra OS packages we do not need)
+# - Keeps the same security update cadence as the official image
 #
 # What we add:
-#   • Our Tool Router source code (tool_router_logger.py, config.yaml, etc.)
-#   • Extra Python dependencies required for the Jaccard/Embedding logic
-#       – numpy
-#       – scikit‑learn
-#   • A tiny wrapper entrypoint that runs `litellm --config /app/config.yaml`
+#   - Our Tool Router source code (tool_router_logger.py, config.yaml, etc.)
+#   - Extra Python dependencies required for the Jaccard/Embedding logic
+#       - numpy
+#       - scikit-learn
+#   - A tiny wrapper entrypoint that runs litellm --config /app/config.yaml
 # ---------------------------------------------------------------
 
 # 1. Use the official LiteLLM image (based on python:3.12-slim)
@@ -19,9 +19,7 @@ FROM litellm/litellm:latest AS base
 
 # 2. Set environment variables that control the router
 ENV \
-  # Port the proxy will expose (match docker‑compose)
   PORT=4000 \
-  # Router defaults – can be overridden at runtime with env vars
   TOOL_ROUTER_SIMILARITY_MODE=jaccard \
   TOOL_ROUTER_TOP_K=3 \
   TOOL_ROUTER_MIN_SIMILARITY=0.15 \
@@ -38,7 +36,6 @@ USER litellm
 WORKDIR /app
 
 # 5. Copy only the files that belong to the Tool Router
-#    (keeps the image lean – we don’t copy .git, docs, etc.)
 COPY --chown=litellm:litellm \
     tool_router_logger.py \
     config.yaml \
@@ -47,17 +44,16 @@ COPY --chown=litellm:litellm \
     ./
 
 # 6. Install the extra Python deps that the router needs:
-#       – numpy   (for cosine similarity)
-#       – scikit‑learn (for the Jaccard fallback)
+#       - numpy   (for cosine similarity)
+#       - scikit-learn (for the Jaccard fallback)
 RUN pip install --no-cache-dir -r requirements.txt
 
 # 7. Expose the port used by LiteLLM
 EXPOSE 4000
 
-# 8. Healthcheck - LiteLLM returns a JSON "health" endpoint
+# 8. Healthcheck - LiteLLM returns a JSON health endpoint
 HEALTHCHECK --interval=30s --timeout=5s --start-period=20s --retries=3 \
   CMD curl -fsS "http://127.0.0.1:${PORT}/health" || exit 1
 
 # 9. Default command - run the proxy with our config file
-#     The official image’s entrypoint is preserved, we just pass the config.
-CMD ["sh", "-c", "litellm --config /app/config.yaml --port ${PORT} --host 0.0.0.0"]
\ No newline at end of file
+CMD ["sh", "-c", "litellm --config /app/config.yaml --port ${PORT} --host 0.0.0.0"]