mirror of
https://github.com/Aider-AI/aider.git
synced 2025-06-11 23:25:01 +00:00
129 lines
4.3 KiB
Markdown
129 lines
4.3 KiB
Markdown
---
|
|
parent: Connecting to LLMs
|
|
nav_order: 560
|
|
---
|
|
|
|
# Amazon Bedrock
|
|
|
|
Aider can connect to models provided by Amazon Bedrock.
|
|
You will need to have an AWS account with access to the Bedrock service.
|
|
|
|
To configure Aider to use the Amazon Bedrock API, you need to set up your AWS credentials.
|
|
This can be done using the AWS CLI or by setting environment variables.
|
|
|
|
## Select a Model from Amazon Bedrock
|
|
|
|
Before you can use a model through Amazon Bedrock, you must "enable" the model under the **Model
|
|
Access** screen in the AWS Management Console.
|
|
To find the `Model ID`, open the **Model Catalog** area in the Bedrock console, select the model
|
|
you want to use, and the find the `modelId` property under the "Usage" heading.
|
|
|
|
### Bedrock Inference Profiles
|
|
|
|
Amazon Bedrock has added support for a new feature called [cross-region "inference profiles."](https://aws.amazon.com/about-aws/whats-new/2024/09/amazon-bedrock-knowledge-bases-cross-region-inference/)
|
|
Some models hosted in Bedrock _only_ support these inference profiles.
|
|
If you're using one of these models, then you will need to use the `Inference Profile ID`
|
|
instead of the `Model ID` from the **Model Catalog** screen, in the AWS Management Console.
|
|
For example, the Claude Sonnet 3.7 model, release in February 2025, exclusively supports
|
|
inference through inference profiles. To use this model, you would use the
|
|
`us.anthropic.claude-3-7-sonnet-20250219-v1:0` Inference Profile ID.
|
|
In the Amazon Bedrock console, go to Inference and Assessment ➡️ Cross-region Inference
|
|
to find the `Inference Profile ID` value.
|
|
|
|
If you attempt to use a `Model ID` for a model that exclusively supports the Inference Profile
|
|
feature, you will receive an error message like the following:
|
|
|
|
> litellm.BadRequestError: BedrockException - b'{"message":"Invocation of model ID
|
|
anthropic.claude-3-7-sonnet-20250219-v1:0 with on-demand throughput isn\xe2\x80\x99t supported. Retry your
|
|
request with the ID or ARN of an inference profile that contains this model."}'
|
|
|
|
## AWS CLI Configuration
|
|
|
|
If you haven't already, install the [AWS CLI](https://aws.amazon.com/cli/) and configure it with your credentials:
|
|
|
|
```bash
|
|
aws configure
|
|
```
|
|
|
|
This will prompt you to enter your AWS Access Key ID, Secret Access Key, and default region.
|
|
|
|
## Environment Variables
|
|
|
|
Alternatively, you can set the following environment variables:
|
|
|
|
```bash
|
|
export AWS_REGION=your_preferred_region
|
|
|
|
# For user authentication
|
|
export AWS_ACCESS_KEY_ID=your_access_key
|
|
export AWS_SECRET_ACCESS_KEY=your_secret_key
|
|
|
|
# For profile authentication
|
|
export AWS_PROFILE=your-profile
|
|
```
|
|
|
|
You can add these to your
|
|
[.env file](/docs/config/dotenv.html).
|
|
|
|
### Set Environment Variables with PowerShell
|
|
|
|
If you're using PowerShell on MacOS, Linux, or Windows, you can set the same AWS configuration environment variables with these commands.
|
|
|
|
```pwsh
|
|
$env:AWS_ACCESS_KEY_ID = 'your_access_key'
|
|
$env:AWS_SECRET_ACCESS_KEY = 'your_secret_key'
|
|
$env:AWS_REGION = 'us-west-2' # Put whichever AWS region that you'd like, that the Bedrock service supports.
|
|
```
|
|
|
|
## Install boto3
|
|
|
|
The AWS Bedrock provider requires the `boto3` package in order to function correctly:
|
|
|
|
```bash
|
|
pip install boto3
|
|
```
|
|
|
|
To use aider installed via `pipx` with AWS Bedrock, you must add the `boto3` dependency to aider's virtual environment by running
|
|
|
|
```bash
|
|
pipx inject aider-chat boto3
|
|
```
|
|
|
|
You must install `boto3` dependency to aider's virtual environment installed via one-liner or uv by running
|
|
|
|
```bash
|
|
uv tool run --from aider-chat pip install boto3
|
|
```
|
|
|
|
|
|
## Running Aider with Bedrock
|
|
|
|
Once your AWS credentials are set up, you can run Aider with the `--model` command line switch, specifying the Bedrock model you want to use:
|
|
|
|
```bash
|
|
aider --model bedrock/anthropic.claude-3-5-sonnet-20240620-v1:0
|
|
```
|
|
|
|
Sometimes it seems to help if you prefix the model name with "us.":
|
|
|
|
```bash
|
|
aider --model bedrock/us.anthropic.claude-3-5-sonnet-20240620-v1:0
|
|
```
|
|
|
|
|
|
## Available Models
|
|
|
|
To see some models available via Bedrock, run:
|
|
|
|
```bash
|
|
aider --list-models bedrock/
|
|
```
|
|
|
|
Make sure you have access to these models in your AWS account before attempting to use them with Aider.
|
|
|
|
# More info
|
|
|
|
For more information on Amazon Bedrock and its models, refer to the [official AWS documentation](https://docs.aws.amazon.com/bedrock/latest/userguide/what-is-bedrock.html).
|
|
|
|
Also, see the
|
|
[litellm docs on Bedrock](https://litellm.vercel.app/docs/providers/bedrock).
|