Hurry AI for Amazon Bedrock API Keys

Today, we are very happy to announce the greatest Amazon Bedrock engineers: API keys. API buttons provide immediate access to Amazon Bedrock Apis, submitting the authentication process so that developers focus on building rather than repair.

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In this post, check the APIs Keys how do you work and how to start using them today.

API Key Confirmation

Amazon Bedrock is now providing access to API key to guided combinations with tools and structures awaiting certification based on API keys. Amazon Bedrock and Amazon Bedrock Runtime Support Supks Support Support Support Support Support Support API Advertise Delivery Methods, Restricted Restricts, Distair, and Assessment.

The diagram compares the default verification process in Amazon Bedrock (orange) with API Keys, blue). In the default process, you must create ownership in AWS IAM ID center or IAM, to attach the IAM policies to provide approval permits to the functions of API, and produce guarantees, which you can use to make API calls. Taste boxes in Diagram highlights Amazon's sleeping steps now they are guided now when the API key is produced. Developers Now they can verify and have access to Amazon Bedrock API Apis looking up.

You can produce API keys in Amazon Bedrock Console, select between two types.

Reference ATI long-term keysYou can put expiry times from 1 day to expire. These keys are associated with the IAM user that Amazon Bedrock creates automatically. The system attaches the AmazonbedrockRockRockRockRockRocklimoughts a policy managed in this IAM user, and you can change the permissions as IAM service is required. We recommend using long-term buttons by checking Amazon Bedrock.

APPI short-term keys Use IAM Permissions from your current IAM principal and end the time when your account session ends or perpetrates 12 hours. Short-term API buttons use the AWS signure version 4 for authentication. Using the ongoing app, you can use the API key renewal text as shown in this example. We recommend that you use API brief setup key keys that requires higher security level.

To make your first API call

Once you have access to basic models, the Amazon Bedrock API keywords lock is correct. Here's how you can make your first API phone using AWS SDK Ython (Boto3 SDK) and API Keys:

Produce API key

To generate API key, follow these steps:

1. Sign in to AWS Management Console and open Amazon Bedrock Console
2. In the left navigation panel, select API keys
3. Choose either Produce a temporary API key or Produce a long-term API key
4. For long-term buttons, set your expiry time and prepare advanced permissions
5. Designate Generate and copy your API key

Set your API key such as natural flexibility

You can set your API key such as natural flexibility to automatically be monitored when performing API applications:

# To set the API key as an environment variable, you can open a terminal and run the following command:
export AWS_BEARER_TOKEN_BEDROCK=${api-key}

Boto3 SDK automatically detects your environment variables when creating Amazon Bedrock Cleric.

Make your first API phone

You can now create API calls in Amazon Bedrock in many ways:

1. Using a curl

   curl -X POST " 
     -H "Content-Type: application/json" 
     -H "Authorization: Bearer $AWS_BEARER_TOKEN_BEDROCK" 
     -d '{
       "messages": [
           {
               "role": "user",
               "content": [{"text": "Hello"}]
           }
       ]
     }'

2. Using Amazon Bedrock SDK:

   import boto3
   
   # Create an Amazon Bedrock client
   client = boto3.client(
       service_name="bedrock-runtime",
       region_name="us-east-1"     # If you've configured a default region, you can omit this line
   ) 
   
   # Define the model and message
   model_id = "us.anthropic.claude-3-5-haiku-20241022-v1:0"
   messages = [{"role": "user", "content": [{"text": "Hello"}]}]
      
   response = client.converse(
       modelId=model_id,
       messages=messages,
   )
   
   # Print the response
   print(response['output']['message']['content'][0]['text'])

3. You can also use traditional libraries such as Python applications:

   import requests
   import os
   
   url = "
   
   payload = {
       "messages": [
           {
               "role": "user",
               "content": [{"text": "Hello"}]
           }
       ]
   }
   
   headers = {
       "Content-Type": "application/json",
       "Authorization": f"Bearer {os.environ['AWS_BEARER_TOKEN_BEDROCK']}"
   }
   
   response = requests.request("POST", url, json=payload, headers=headers)
   
   print(response.text)

To close engineer experience and business security requirements

Business administrators are now able to direct their onboarding user in Amazon Bedrock Founditation Models. By setting up in need of high quality security level, administrators may allow API keype keys for their users. Sight-term API buttons use 4 AWS signature version and the existing IAM principal, storing established access controls used by management.

For research purposes and compliance purposes, all API calls are signed in to the AWS CloudTraail. API buttons are passed on as authenticated topics of API applications and are not logged in.

Store

Amazon Bedrock API keys are available in 20 AWS districts where Amazon Bedrock is located in Mzon Bedrock, Zurich), South America (São Paulo). To learn more about the API buttons in Amazon Bedrock, visit API key guidelines to the Amazon Bedrock user guide.

Assign API buttons to try Amazon Bedrock Console today and send feedback to AWS Re: Send Amazon Bedrock or contacts of the usual AWROCK.

About the authors

Sofian Hamiti The technology leader is over 10 years of construction AI, and leads the most effective groups to increase customer results. You have the love of equipping a variety of talent to drive a worldwide impact and achieve their job desires.

Ajit MahedDy An experienced product and the Go-to-Market leader (GTM) for more than 20 years of experience in the management of product, engineering and market. Before having his current role, Ajit product formation has led AI / ML products to leading technical companies, including Uber, Thuring, and eHealth. You are interested in the technological technological technology and driving the actual world impact with Ai Generative AI.

Nakul Vankadari Ramesh Are the engineering developer for more than seven years of building major distributed systems. You currently work in the Amazon Bedrock Team team, which helps to accelerate the development of skills in AI. Earlier, he contributed to the Blockchail held in Amazon, focusing on infrastructure infrastructure.

Huong Nguyen It is the main product manager for AWS. He is a product leader in Amazon Bedrock, at the age of 18 for the experience of creating customer products and the data. You are interested in the democratic democracy and AI generous AI to enable customer experience and business establishment. Outside work, she enjoys spending time with family and friends, listening to Audiobooks, walking, and garden.

Massimiana Analino It's the Holy Art of Ema Prototyping team. 3 years ago and a part of the professional Iot Focus of the Edge Computing, and he had a contribution when the AWS IT Green Unagination Services was presented with the Amazon Sagemaker Edge Manager. Based on Stockholm, you enjoy skating frozen lakes.