diff --git a/.env.docker.example b/.env.docker.example
index 537c321..6cd740b 100644
--- a/.env.docker.example
+++ b/.env.docker.example
@@ -13,7 +13,7 @@ POSTGRES_PASSWORD=postgres
 
 REDIS_ENDPOINT=redis://redis:6379/0
 
-ENVIRONMENT=development
+ENVIRONMENT=production
 
 AI_STRATEGY=OLLAMA   #OLLAMA,OPENAI,ANTHROPIC
 
diff --git a/src/app.py b/src/app.py
index c472fac..fe3afac 100644
--- a/src/app.py
+++ b/src/app.py
@@ -48,8 +48,11 @@ def health():
         "uptime": round(time.time() - start_time, 2),
         "external_modules": {"ollama": ollama_health},
         "urls": {
-            # "llm": llm_service.get_url(),
-            "redis": config.redis_endpoint,
+            "redis": (
+                config.redis_endpoint
+                if config.environment == "development"
+                else "retracted"
+            ),
             # this leaks the db user and password in dev mode
             "postgres": (
                 config.get_db_url()
diff --git a/src/routes/v1/upload.py b/src/routes/v1/upload.py
index 4777913..c98d39c 100644
--- a/src/routes/v1/upload.py
+++ b/src/routes/v1/upload.py
@@ -60,9 +60,9 @@ async def upload(
     finding_repository.create_findings(findings)
     worker_input = GenerateReportInput(
         recommendation_task_id=recommendation_task.id,
-        generate_long_solution=data.preferences.long_description or True,
-        generate_search_terms=data.preferences.search_terms or True,
-        generate_aggregate_solutions=data.preferences.aggregated_solutions or True,
+        generate_long_solution=data.preferences.long_description,
+        generate_search_terms=data.preferences.search_terms,
+        generate_aggregate_solutions=data.preferences.aggregated_solutions,
     )
 
     celery_result = worker.send_task(
diff --git a/src/test/mock_llm.py b/src/test/mock_llm.py
index 84519ed..2172e1b 100644
--- a/src/test/mock_llm.py
+++ b/src/test/mock_llm.py
@@ -58,7 +58,7 @@ def get_url(self) -> str:
         return self.generate_url
 
     def _generate(self, prompt: str, json=True) -> Dict[str, str]:
-        print(prompt)
+        # TODO: Mock Aggregated Solution Responses and Subdivision Responses
         print(f"{answer_in_json_prompt('recommendation')}".format())
         if f"{answer_in_json_prompt('combined_description').format()}" in prompt:
             return {"combined_description": "combined_description"}