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docs(bedrock.md): update docs with deprecation notice for passing in boto3.client

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Krrish Dholakia 2024-06-10 20:38:38 -07:00
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docs/my-website/docs/providers/bedrock.md
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@ -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)