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AWS
BedrockBedrock
@Bedrock
12 models
Bedrock is a service provided by Amazon AWS, focusing on delivering advanced AI language and visual models for enterprises. Its model family includes Anthropic's Claude series, Meta's Llama 3.1 series, and more, offering a range of options from lightweight to high-performance, supporting tasks such as text generation, conversation, and image processing for businesses of varying scales and needs.

Supported Models

Bedrock
Claude

Claude 3.5 Sonnet

anthropic.claude-3-5-sonnet-20240620-v1:0
200K
Maximum Context Length
200K
Maximum Output Length
--
Input Price
$3.00
Output Price
$15.00
Claude

Claude 3 Haiku

anthropic.claude-3-haiku-20240307-v1:0
200K
Maximum Context Length
200K
Maximum Output Length
--
Input Price
$0.25
Output Price
$1.25
Claude

Claude 3 Sonnet

anthropic.claude-3-sonnet-20240229-v1:0
200K
Maximum Context Length
200K
Maximum Output Length
--
Input Price
$3.00
Output Price
$15.00
Claude

Claude 3 Opus

anthropic.claude-3-opus-20240229-v1:0
200K
Maximum Context Length
200K
Maximum Output Length
--
Input Price
$15.00
Output Price
$75.00

Using Amazon Bedrock in LobeChat

Using Amazon Bedrock in LobeChat

Amazon Bedrock is a fully managed foundational model API service that allows users to access models from leading AI companies (such as AI21 Labs, Anthropic, Cohere, Meta, Stability AI) and Amazon's own foundational models.

This document will guide you on how to use Amazon Bedrock in LobeChat:

Step 1: Grant Access to Amazon Bedrock Models in AWS

  • Access and log in to the AWS Console
  • Search for bedrock and enter the Amazon Bedrock service
Enter Amazon Bedrock service
  • Select Models access from the left menu
Access Amazon Bedrock model permissions
  • Open model access permissions based on your needs
Open model access permissions
Some models may require additional information from you

Step 2: Obtain API Access Keys

  • Continue searching for IAM in the AWS console and enter the IAM service
Enter IAM service
  • In the Users menu, create a new IAM user
Create a new IAM user
  • Enter the user name in the pop-up dialog box
Enter user name
  • Add permissions for this user or join an existing user group to ensure access to Amazon Bedrock
Add permissions for the user
  • Create an access key for the added user
Create an access key
  • Copy and securely store the access key and secret access key, as they will be needed later
Enter IAM service

Please securely store the keys as they will only be shown once. If you lose them accidentally, you will need to create a new access key.

Step 3: Configure Amazon Bedrock in LobeChat

  • Access the Settings interface in LobeChat
  • Find the setting for Amazon Bedrock under Language Models and open it
Enter Amazon Bedrock keys in LobeChat
  • Open Amazon Bedrock and enter the obtained access key and secret access key
  • Choose an Amazon Bedrock model for your assistant to start the conversation
Select and use Amazon Bedrock model

You may incur charges while using the API service, please refer to Amazon Bedrock's pricing policy.

You can now engage in conversations using the models provided by Amazon Bedrock in LobeChat.

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