diff --git a/ai-weather-agent/Procfile b/ai-weather-agent/Procfile
index 7ba3ee7..f5008b0 100644
--- a/ai-weather-agent/Procfile
+++ b/ai-weather-agent/Procfile
@@ -1,4 +1,4 @@
-max-serve-llm: (magic global install max-pipelines && magic global update max-pipelines) || true; MAX_SERVE_PORT=8000 MAX_SERVE_HOST=localhost HUGGING_FACE_HUB_TOKEN=$(cat backend/.env | grep HUGGING_FACE_HUB_TOKEN | cut -d '=' -f2) max-pipelines serve --huggingface-repo-id=modularai/Llama-3.1-8B-Instruct-GGUF --max-length 2048
-max-serve-embedding: (magic global install max-pipelines && magic global update max-pipelines) || true; MAX_SERVE_PORT=7999 MAX_SERVE_HOST=localhost HUGGING_FACE_HUB_TOKEN=$(cat backend/.env | grep HUGGING_FACE_HUB_TOKEN | cut -d '=' -f2) max-pipelines serve --huggingface-repo-id=sentence-transformers/all-mpnet-base-v2
+max-serve-llm: (magic global install max-pipelines && magic global update max-pipelines) || true; MAX_SERVE_PORT=8010 MAX_SERVE_HOST=0.0.0.0 HUGGING_FACE_HUB_TOKEN=$(cat backend/.env | grep HUGGING_FACE_HUB_TOKEN | cut -d '=' -f2) max-pipelines serve --huggingface-repo-id=modularai/Llama-3.1-8B-Instruct-GGUF --max-length 2048
+max-serve-embedding: (magic global install max-pipelines && magic global update max-pipelines) || true; MAX_SERVE_PORT=7999 MAX_SERVE_HOST=0.0.0.0 HUGGING_FACE_HUB_TOKEN=$(cat backend/.env | grep HUGGING_FACE_HUB_TOKEN | cut -d '=' -f2) max-pipelines serve --huggingface-repo-id=sentence-transformers/all-mpnet-base-v2
 backend: cd backend && magic run backend
 frontend: cd frontend && magic run frontend
diff --git a/ai-weather-agent/backend/src/main.py b/ai-weather-agent/backend/src/main.py
index 3dca0d1..311bdab 100644
--- a/ai-weather-agent/backend/src/main.py
+++ b/ai-weather-agent/backend/src/main.py
@@ -76,7 +76,7 @@ async def lifespan(app: FastAPI):
 
 CACHE_TTL = 3600  # 1 hour
 
-LLM_SERVER_URL = os.getenv("LLM_SERVER_URL", "http://0.0.0.0:8000/v1")
+LLM_SERVER_URL = os.getenv("LLM_SERVER_URL", "http://0.0.0.0:8010/v1")
 EMBEDDING_SERVER_URL = os.getenv("EMBEDDING_SERVER_URL", "http://0.0.0.0:7999/v1")
 EMBEDDING_MODEL = os.getenv(
     "EMBEDDING_MODEL", "sentence-transformers/all-mpnet-base-v2"