diff --git a/docs/my-website/docs/providers/bedrock.md b/docs/my-website/docs/providers/bedrock.md
index 608bc9d1f..ffe258e97 100644
--- a/docs/my-website/docs/providers/bedrock.md
+++ b/docs/my-website/docs/providers/bedrock.md
@@ -361,47 +361,6 @@ response = completion(
 )
 ```
 
-### Passing an external BedrockRuntime.Client as a parameter - Completion()
-Pass an external BedrockRuntime.Client object as a parameter to litellm.completion. Useful when using an AWS credentials profile, SSO session, assumed role session, or if environment variables are not available for auth.
-
-Create a client from session credentials:
-```python
-import boto3
-from litellm import completion
-
-bedrock = boto3.client(
-            service_name="bedrock-runtime",
-            region_name="us-east-1",
-            aws_access_key_id="",
-            aws_secret_access_key="",
-            aws_session_token="",
-)
-
-response = completion(
-            model="bedrock/anthropic.claude-instant-v1",
-            messages=[{ "content": "Hello, how are you?","role": "user"}],
-            aws_bedrock_client=bedrock,
-)
-```
-
-Create a client from AWS profile in `~/.aws/config`:
-```python
-import boto3
-from litellm import completion
-
-dev_session = boto3.Session(profile_name="dev-profile")
-bedrock = dev_session.client(
-            service_name="bedrock-runtime",
-            region_name="us-east-1",
-)
-
-response = completion(
-            model="bedrock/anthropic.claude-instant-v1",
-            messages=[{ "content": "Hello, how are you?","role": "user"}],
-            aws_bedrock_client=bedrock,
-)
-```
-
 ### SSO Login (AWS Profile)
 - Set `AWS_PROFILE` environment variable
 - Make bedrock completion call
@@ -464,6 +423,56 @@ response = completion(
         )
 ```
 
+
+### Passing an external BedrockRuntime.Client as a parameter - Completion()
+
+:::warning
+
+This is a deprecated flow. Boto3 is not async. And boto3.client does not let us make the http call through httpx. Pass in your aws params through the method above 👆. [See Auth Code](https://github.com/BerriAI/litellm/blob/55a20c7cce99a93d36a82bf3ae90ba3baf9a7f89/litellm/llms/bedrock_httpx.py#L284) [Add new auth flow](https://github.com/BerriAI/litellm/issues)
+
+:::
+
+Pass an external BedrockRuntime.Client object as a parameter to litellm.completion. Useful when using an AWS credentials profile, SSO session, assumed role session, or if environment variables are not available for auth.
+
+Create a client from session credentials:
+```python
+import boto3
+from litellm import completion
+
+bedrock = boto3.client(
+            service_name="bedrock-runtime",
+            region_name="us-east-1",
+            aws_access_key_id="",
+            aws_secret_access_key="",
+            aws_session_token="",
+)
+
+response = completion(
+            model="bedrock/anthropic.claude-instant-v1",
+            messages=[{ "content": "Hello, how are you?","role": "user"}],
+            aws_bedrock_client=bedrock,
+)
+```
+
+Create a client from AWS profile in `~/.aws/config`:
+```python
+import boto3
+from litellm import completion
+
+dev_session = boto3.Session(profile_name="dev-profile")
+bedrock = dev_session.client(
+            service_name="bedrock-runtime",
+            region_name="us-east-1",
+)
+
+response = completion(
+            model="bedrock/anthropic.claude-instant-v1",
+            messages=[{ "content": "Hello, how are you?","role": "user"}],
+            aws_bedrock_client=bedrock,
+)
+```
+
+
 ## Provisioned throughput models
 To use provisioned throughput Bedrock models pass 
 - `model=bedrock/<base-model>`, example `model=bedrock/anthropic.claude-v2`. Set `model` to any of the [Supported AWS models](#supported-aws-bedrock-models)