diff --git a/docs/my-website/docs/completion/supported.md b/docs/my-website/docs/completion/supported.md
index ea8978066..750c98ef5 100644
--- a/docs/my-website/docs/completion/supported.md
+++ b/docs/my-website/docs/completion/supported.md
@@ -134,6 +134,21 @@ Example TogetherAI Usage - Note: liteLLM supports all models deployed on Togethe
 | togethercomputer/creative-v1      | `completion('togethercomputer/creative-v1', messages)`                | `os.environ['TOGETHERAI_API_KEY']` |
 | togethercomputer/yourmodel        | `completion('togethercomputer/yourmodel', messages)`                  | `os.environ['TOGETHERAI_API_KEY']` |
 
+### AWS Sagemaker Models
+https://aws.amazon.com/sagemaker/ Use liteLLM to easily call custom LLMs on Sagemaker
+
+### Requirements using Sagemaker with LiteLLM
+
+* `pip install boto3` 
+* Set the following AWS credentials as .env variables (Sagemaker auth: https://boto3.amazonaws.com/v1/documentation/api/latest/guide/credentials.html)
+    * AWS_ACCESS_KEY_ID
+    * AWS_SECRET_ACCESS_KEY
+    * AWS_REGION_NAME
+
+
+| Model Name       | Function Call                                  | Required OS Variables              |
+|------------------|--------------------------------------------|------------------------------------|
+| Llama2 7B        | `completion(model='sagemaker/jumpstart-dft-meta-textgeneration-llama-2-7b, messages=messages)`   | `os.environ['AWS_ACCESS_KEY_ID']`, `os.environ['AWS_SECRET_ACCESS_KEY']`, `os.environ['AWS_REGION_NAME']`     |
 
 ### Baseten Models
 Baseten provides infrastructure to deploy and serve ML models https://www.baseten.co/. Use liteLLM to easily call models deployed on Baseten.