Removed unnecessary constants; updated docs to align with bootstrap naming convention

docs/concepts/llms.mdx

@@ -244,7 +244,7 @@ There are three ways to configure LLMs in CrewAI. Choose the method that best fi
         # llm: bedrock/meta.llama2-70b-chat-v1
 
         # Amazon SageMaker Models - Enterprise-grade
-        # llm: sagemaker/<your-sagemaker-endpoint>
+        # llm: sagemaker/<my-endpoint>
 
         # Mistral Models - Open source alternative
         # llm: mistral/mistral-large-latest
@@ -520,7 +520,7 @@ Learn how to get the most out of your LLM configuration:
     Example usage:
     ```python Code
     llm = LLM(
-        model="sagemaker/<your-sagemaker-endpoint>"
+        model="sagemaker/<my-endpoint>"
     )
     ```
   </Accordion>

src/crewai/cli/constants.py

@@ -63,20 +63,6 @@ ENV_VARS = {
             "key_name": "AWS_REGION_NAME",
         },
     ],
-    "sagemaker": [
-        {
-            "prompt": "Enter your AWS Access Key ID (press Enter to skip)",
-            "key_name": "AWS_ACCESS_KEY_ID",
-        },
-        {
-            "prompt": "Enter your AWS Secret Access Key (press Enter to skip)",
-            "key_name": "AWS_SECRET_ACCESS_KEY",
-        },
-        {
-            "prompt": "Enter your AWS Region Name (press Enter to skip)",
-            "key_name": "AWS_REGION_NAME",
-        },
-    ],
     "azure": [
         {
             "prompt": "Enter your Azure deployment name (must start with 'azure/')",
@@ -123,7 +109,6 @@ PROVIDERS = [
     "ollama",
     "watson",
     "bedrock",
-    "sagemaker",
     "azure",
     "cerebras",
     "sambanova",
@@ -254,7 +239,6 @@ MODELS = {
         "bedrock/mistral.mistral-7b-instruct-v0:2",
         "bedrock/mistral.mixtral-8x7b-instruct-v0:1",
     ],
-    "sagemaker": ["sagemaker/<your-sagemaker-endpoint>"],
     "sambanova": [
         "sambanova/Meta-Llama-3.3-70B-Instruct",
         "sambanova/QwQ-32B-Preview",