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Today we are excited that we can announce that Claude Sonnet 4.5, powered by anthropic, is now available in the fully managed Amazon Bedrock service, which offers a selection of high -performance endowment models from the AI leading companies. This new model builds on the foundations of Claude 4 to achieve the latest performance in coding and complex agency applications.
Claude Sonet 4.5 demonstrates advances in agents’ abilities, with increased performance in handling tools, memory management and context processing. The model shows a significant improvement in the generation and code analysis, from identifying optimal improvements to performance judgment in refactoring decisions. It is particularly excelled in autonomous tasks with long horizon, where it can effectively plan and perform comprehensive software projects lasting hours or days while maintaining consistent performance and reliability during the development cycle.
Source: https://www.anthropic.com/news/claude-sonnet-4-5
Using Claude Sonet 4.5 in Amazon Bedrock, developers get access to a fully managed service that not only provides a uniform API for endowment models, but ensures that their data remains under complete control with business levels for security and optimization.
Claude Sonnet 4.5 also integrates with Amazon Amazon Bedrock Agentcore, which allows developers to maximize the model’s capabilities for building complex agents. Agentcore purpose -based infrastructure complements the increased model capabilities in tool processing, memory management and context understanding. Developers can use complete session isolation, 8 -hour long -term support and comprehensive observability function for deploying and monitoring agents ready for production from autonomous security operations to comprehensive business procedures.
Business Applications and Application Cases
In addition to its technical capabilities, Sonnet 4.5 provides practical business value through consistent performance and advanced problem solving capabilities. The model excels in the production and modifications of business documents while maintaining reliable performance across complex workflows.
The model shows strength in several key sectors:
- Cyber safety – Claude Sonnet 4.5 can be used to deploy agents that autonomically correct vulnerability before exploitation, move from reactive detection to proactive defense.
- Finance-Sonnet 4.5 processes everything from financial analysis at the basic level to advanced predictive analysis and helps transform the preparation of hand audit for intelligent risk management.
- Research-Sonnet 4.5 can better process tools, context and supply office files ready to make professional analyzes into the final outputs and knowledge that can be performed.
Sonnet 4.5 Function in Amazon Bedrock API
Here are several peaks of Sonnet 4.5 in Amazon Bedrock API:
Managing a window of intelligent context – The new API presents intelligent manipulation when AI models achieve their maximum capacity. Instead of returning errors, when the conversation is too long, Claude Sonet 4.5 now generates answers to the available limit and clearly indicates why it has stopped. This eliminates frustrating interruptions and allows users to maximize the available context window.
Use tool cleaning for efficiency – Claude Sonet 4.5 allows you to clean the history of tool interaction during long conversations. When conversations include multiple tool calls, the system can automatically remove older tool results while maintaining recent. This keeps the conversation efficient and prevents unnecessary consumption of tokens and reduces costs while maintaining the quality of conversation.
Memory between conversion – The new memory capacity allows Sonet 4.5 to remember information in different conversations using a local memory file. Users may expressly ask the model to remember preferences, context or important information that persists behind a single chat. This creates more adapted and contextual interactions while maintaining information in the local file.
With these new context management abilities, developers can build AI agents who are able to handle long -term tasks at higher intelligence without affecting contextual limits or often lost critical information.
We are starting
If you want to start working with Claude Sonnet 4.5, you can access it via Amazon Bedrock using the right ID model. A good practice is to use Amazon Bedrock Converse API to write code once and to switch smoothly between different models, making experimentation with Sonnet 4.5 or any other models available in Amazon Bedrock.
We will see it in action with a simple example. I will use Amazon Bedrock Converse API to send a prompt to Sonet 4.5. I will start by importing the modules that I will use. For this short example, I only need AWS SDK for Python (Boto3) to create a BedrockrunTimeclient. I also import a rich package so I can format my output nicely later.
After proven procedures, I create a boto3 session and instead of creating one directly, I create a client Amazon Bedrock. This gives you an explicit configuration, improves thread safety, and makes your code more predictable and more testable compared to the starting session.
I want to give the model something with a little complexity instead of asking a simple question to demonstrate the power of Sonet 4.5. So I will give the model the current state of imaginary older monolithic applications written in Java with a single database and ask for a digital transformation plan that includes a migration strategy, risk assessment, time schedule and key milestones, and specific AWS recommendations.
Because the challenge is quite long, I put it in the text file locally and just load it into the code. Then I set Amazon Bedrock Converse Payload settings “User” Settings to indicate that this is an application user and add a prompt to content.
This is where the magic is happening! They put it all together and call Claude Sonnet 4.5 using his ID model. Well, a little. Sonnet 4.5 can only be accessed through an inference profile. This defines which AWS regions will process model requirements and help manage the permeability and performance.
For this demo, I will use one of the system profiles for the Amazon Bedrock Cross Region profiles that automatically direct requirements across multiple regions for optimal performance.
Now I just have to print on the screen to see the results. This is where I use a rich package I imported earlier so we could have a nicely formatted output because I expect a long answer to this. I will also save the output to the file so I can have something I can share with my teams.
Okay, let’s look at the results! As expected, Sonnet 4.5 has elaborated my requirements and provided extensive and deep instructions for my digital transformation plan that I could start putting into practice. This included a summary, step by step migration strategies divided into phases with estimates of time, and even some code samples to include the development process and begin to divide things into micro -checks. He also provided business cases for introducing technology and recommended the right AWS services for each scenario. Here are several peaks from the report.
Claude Sonnet 4.5 is able to maintain consistency and provide creative solutions, making it an ideal choice for businesses trying to use AI for comprehensive problems for solving problems and development. Its improved skills in the following ways and the use of tools are effectively translated into more reliable and innovative solutions in different business contexts.
What to know
Claude Sonnet 4.5 represents an important step forward in agents’ abilities, especially in areas where consistent performance and creative problem solving are necessary. Thanks to the increased ability to process tools, control of memory and context processing, it is particularly valuable across key sectors such as finance, research and cyber security. Whether manipulation of comprehensive development cycles, long -term tasks or solving business critical work flows, Claude Sonet 4.5 combines technical perfection with practical business value.
Claude Sonet 4.5 is available today. Detailed information about its availability can be found on the documentation.
To learn more about Amazon Bedrock, explore our Amazon Bedrock Workshop seminar to find out how to use available models and their capabilities in your applications.