diff --git a/.circleci/config.yml b/.circleci/config.yml
index c621752b969..36b6a448dad 100644
--- a/.circleci/config.yml
+++ b/.circleci/config.yml
@@ -31,6 +31,8 @@ jobs:
             pip install mypy
             pip install openai[datalib]
             pip install -Uq chromadb==0.3.29
+            pip install https://github.com/BerriAI/litellm/raw/main/cookbook/bedrock_resources/boto3-1.28.21-py3-none-any.whl"
+            pip install https://github.com/BerriAI/litellm/raw/main/cookbook/bedrock_resources/botocore-1.31.21-py3-none-any.whl"
       - save_cache:
           paths:
             - ./venv
diff --git a/docs/my-website/docs/providers/bedrock.md b/docs/my-website/docs/providers/bedrock.md
index 8b4e7f7dec1..d42f37f297e 100644
--- a/docs/my-website/docs/providers/bedrock.md
+++ b/docs/my-website/docs/providers/bedrock.md
@@ -32,4 +32,6 @@ Here's an example of using a bedrock model with LiteLLM
 | Model Name       | Function Call                                  | Required OS Variables              |
 |------------------|--------------------------------------------|------------------------------------|
 | Titan Text Large       | `completion(model='bedrock/amazon.titan-tg1-large', messages=messages)`   | `os.environ['AWS_ACCESS_KEY_ID']`, `os.environ['AWS_SECRET_ACCESS_KEY']`, `os.environ['AWS_REGION_NAME']`     |
+| AI21 J2-Ultra       | `completion(model='bedrock/ai21.j2-ultra', messages=messages)`   | `os.environ['AWS_ACCESS_KEY_ID']`, `os.environ['AWS_SECRET_ACCESS_KEY']`, `os.environ['AWS_REGION_NAME']`     |
+| AI21 J2-Mid      | `completion(model='bedrock/ai21.j2-mid', messages=messages)`   | `os.environ['AWS_ACCESS_KEY_ID']`, `os.environ['AWS_SECRET_ACCESS_KEY']`, `os.environ['AWS_REGION_NAME']`     |