AWS Machine Learning

JULY 31, 2024

The new ApplyGuardrail API enables you to assess any text using your preconfigured guardrails in Amazon Bedrock, without invoking the FMs. In this post, we demonstrate how to use the ApplyGuardrail API with long-context inputs and streaming outputs. For example, you can now use the API with models hosted on Amazon SageMaker.

APIs 135

APIs Banking Best practices Engineering 135

AWS Machine Learning

NOVEMBER 19, 2024

Clone the repo To get started, clone the repository by running the following command, and then switch to the working directory: git clone [link] Build your guardrail To build the guardrail, you can use the CreateGuardrail API. Based on the API response, you can determine the guardrail’s action.

APIs 123

APIs Government Banking Engineering 123

AWS Machine Learning

SEPTEMBER 13, 2024

Intricate workflows that require dynamic and complex API orchestration can often be complex to manage. In this post, we explore how chaining domain-specific agents using Amazon Bedrock Agents can transform a system of complex API interactions into streamlined, adaptive workflows, empowering your business to operate with agility and precision.

APIs 136

APIs Enterprise Best practices Accountability 136

AWS Machine Learning

APRIL 3, 2025

Each drone follows predefined routes, with flight waypoints, altitude, and speed configured through an AWS API, using coordinates stored in Amazon DynamoDB. API Gateway plays a complementary role by acting as the main entry point for external applications, dashboards, and enterprise integrations.

APIs 121

APIs Telecommunications Enterprise Best practices 121

AWS Machine Learning

MARCH 6, 2025

By using the power of LLMs and combining them with specialized tools and APIs, agents can tackle complex, multistep tasks that were previously beyond the reach of traditional AI systems. Whenever local database information is unavailable, it triggers an online search using the Tavily API. Its used by the weather_agent() function.

APIs 132

APIs Scripts Enterprise Management 132

AWS Machine Learning

OCTOBER 29, 2024

To enable the video insights solution, the architecture uses a combination of AWS services, including the following: Amazon API Gateway is a fully managed service that makes it straightforward for developers to create, publish, maintain, monitor, and secure APIs at scale.

Engineering 116

Engineering APIs Sales Enterprise 116

AWS Machine Learning

APRIL 9, 2025

In addition, they use the developer-provided instruction to create an orchestration plan and then carry out the plan by invoking company APIs and accessing knowledge bases using Retrieval Augmented Generation (RAG) to provide an answer to the users request. This differs from confirmation flows where the agent directly executes API calls.

APIs 125

APIs Entertainment Enterprise Feedback 125

AWS Machine Learning

APRIL 23, 2025

For more information, see Redacting PII entities with asynchronous jobs (API). The query is then forwarded using a REST API call to an Amazon API Gateway endpoint along with the access tokens in the header. The user query is sent using an API call along with the authentication token through Amazon API Gateway.

APIs 108

APIs Healthcare Enterprise Accountability 108

AWS Machine Learning

DECEMBER 18, 2024

This involves creating an OAuth API endpoint in ServiceNow and using the web experience URL from Amazon Q Business as the callback URL. The final step of the solution involves enhancing the application environment with a custom plugin for ServiceNow using APIs defined in an OpenAPI schema.

APIs 101

APIs Enterprise Accountability Government 101

AWS Machine Learning

OCTOBER 31, 2024

We provide the service account with authorization scopes to allow access to the required Gmail APIs. After you create the project, on the navigation menu, choose APIs and Services and Library to view the API Library. On the API Library page, search for and choose Admin SDK API. Choose Enable to enable this API.

APIs 125

APIs Accountability Enterprise Engineering 125

AWS Machine Learning

DECEMBER 4, 2024

This includes setting up Amazon API Gateway , AWS Lambda functions, and Amazon Athena to enable querying the structured sales data. Navigate to the AWS Secrets Manager console and find the secret -api-keys. Import the API schema from the openapi_schema.json file that you downloaded earlier. Download all three sample data files.

APIs 110

APIs Sales Surveys Analytics 110

AWS Machine Learning

JANUARY 22, 2025

Amazon Bedrock Flows offers an intuitive visual builder and a set of APIs to seamlessly link foundation models (FMs), Amazon Bedrock features, and AWS services to build and automate user-defined generative AI workflows at scale. Test the flow Youre now ready to test the flow through the Amazon Bedrock console or API.

APIs 135

APIs Transportation Best practices Enterprise 135

AWS Machine Learning

NOVEMBER 13, 2024

The solution also uses Amazon Cognito user pools and identity pools for managing authentication and authorization of users, Amazon API Gateway REST APIs, AWS Lambda functions, and an Amazon Simple Storage Service (Amazon S3) bucket. To launch the solution in a different Region, change the aws_region parameter accordingly.

APIs 136

APIs Scripts Accountability Entertainment 136

AWS Machine Learning

MARCH 11, 2025

Amazon Bedrock APIs make it straightforward to use Amazon Titan Text Embeddings V2 for embedding data. The implementation used the universal gateway provided by the FloTorch enterprise version to enable consistent API calls using the same function and to track token count and latency metrics uniformly. get("message", {}).get("content")

Benchmark 118

Benchmark APIs Enterprise Scripts 118

AWS Machine Learning

MARCH 14, 2025

Traditional automation approaches require custom API integrations for each application, creating significant development overhead. Add the Amazon Bedrock Agents supported computer use action groups to your agent using CreateAgentActionGroup API. Prerequisites AWS Command Line Interface (CLI), follow instructions here.

APIs 137

APIs Engineering CRM Enterprise 137

AWS Machine Learning

MARCH 19, 2025

This could be APIs, code functions, or schemas and structures required by your end application. Tool use with Amazon Nova To illustrate the concept of tool use, we can imagine a situation where we provide Amazon Nova access to a few different tools, such as a calculator or a weather API. Amazon Nova will use the weather tool.

APIs 110

APIs Engineering Chatbots Best practices 110

AWS Machine Learning

MAY 13, 2025

This enables a RAG scenario with Amazon Bedrock by enriching the generative AI prompt using Amazon Bedrock APIs with your company-specific data retrieved from the OpenSearch Serverless vector database. The RAG Retrieval Application container uses Bedrock Knowledge Bases APIs and Anthropics Claude 3.5

APIs 111

APIs Engineering Enterprise Accountability 111

AWS Machine Learning

JANUARY 24, 2025

These steps might involve both the use of an LLM and external data sources and APIs. Agent plugin controller This component is responsible for the API integration to external data sources and APIs. The LLM agent is an orchestrator of a set of steps that might be necessary to complete the desired request.

APIs 123

APIs Scripts Best practices Management 123

AWS Machine Learning

JANUARY 28, 2025

Using SageMaker with MLflow to track experiments The fully managed MLflow capability on SageMaker is built around three core components: MLflow tracking server This component can be quickly set up through the Amazon SageMaker Studio interface or using the API for more granular configurations.

Management 123

Management APIs Engineering Metrics 123

AWS Machine Learning

NOVEMBER 14, 2024

Customers can use the SageMaker Studio UI or APIs to specify the SageMaker Model Registry model to be shared and grant access to specific AWS accounts or to everyone in the organization. We will start by using the SageMaker Studio UI and then by using APIs.

Government 109

Government Management APIs Accountability 109

AWS Machine Learning

NOVEMBER 15, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

APIs 116

APIs Government Best practices Metrics 116

AWS Machine Learning

OCTOBER 30, 2024

Enabling Global Resiliency for an Amazon Lex bot is straightforward using the AWS Management Console , AWS Command Line Interface (AWS CLI), or APIs. Global Resiliency APIs Global Resiliency provides API support to create and manage replicas. To better understand the solution, refer to the following architecture diagram.

Chatbots 118

Chatbots Interactive Voice Response APIs Telecommunications 118

AWS Machine Learning

DECEMBER 2, 2024

You can retrieve the number of copies of an inference component at any time by making the DescribeInferenceComponent API call and checking the CurrentCopyCount. ApplicationAutoScaling may be in-progress (if configured) or try to increase the capacity by invoking UpdateInferenceComponentRuntimeConfig API. import json scheduler = boto3.client('scheduler')

APIs 113

APIs Best practices Metrics Engineering 113

AWS Machine Learning

MARCH 25, 2025

For more information about the SageMaker AI API, refer to the SageMaker AI API Reference. 8B-Instruct to DeepSeek-R1-Distill-Llama-8B, but the new model version has different API expectations. In this use case, you have configured a CloudWatch alarm to monitor for 4xx errors, which would indicate API compatibility issues.

APIs 116

APIs Engineering Accountability Metrics 116

AWS Machine Learning

FEBRUARY 21, 2025

The solution uses the FMs tool use capabilities, accessed through the Amazon Bedrock Converse API. This enables the FMs to not just process text, but to actively engage with various external tools and APIs to perform complex document analysis tasks. For more details on how tool use works, refer to The complete tool use workflow.

APIs 103

APIs Healthcare Consulting Consulting 103

AWS Machine Learning

APRIL 10, 2025

You can get started without any prior machine learning (ML) experience, and Amazon Personalize allows you to use APIs to build sophisticated personalization capabilities. After the model is trained, you can get the top recommended movies for each user by querying the recommender with each user ID through the Amazon Personalize Runtime API.

Personalization 109

Personalization APIs Advertising Accountability 109

AWS Machine Learning

APRIL 9, 2024

In this post, we discuss two new features of Knowledge Bases for Amazon Bedrock specific to the RetrieveAndGenerate API: configuring the maximum number of results and creating custom prompts with a knowledge base prompt template. The following are the results for different values of ‘ numberOfResults ’ parameters.

APIs 138

APIs Engineering Healthcare Education 138

AWS Machine Learning

APRIL 3, 2025

When complete, a notification chain using Amazon Simple Queue Service (Amazon SQS) and our internal notifications service API gateway begins delivering updates using Slack direct messaging and storing searchable records in OpenSearch for future reference.

Accountability 118

Accountability Sales CRM APIs 118

AWS Machine Learning

JANUARY 14, 2025

The embedding model, which is hosted on the same EC2 instance as the local LLM API inference server, converts the text chunks into vector representations. The prompt is forwarded to the local LLM API inference server instance, where the prompt is tokenized and is converted into a vector representation using the local embedding model.

APIs 114

APIs Chatbots Enterprise Healthcare 114

AWS Machine Learning

OCTOBER 23, 2024

Agent Creator is a versatile extension to the SnapLogic platform that is compatible with modern databases, APIs, and even legacy mainframe systems, fostering seamless integration across various data environments. The integration with Amazon Bedrock is achieved through the Amazon Bedrock InvokeModel APIs.

Enterprise 95

Enterprise APIs Engineering Government 95

AWS Machine Learning

NOVEMBER 21, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

APIs 116

APIs Call Center Engineering Personalization 116

AWS Machine Learning

MARCH 26, 2025

Update models in the private hub Modify your existing private HubContent by calling the new sagemaker:UpdateHubContent API. Refer to the public API documentation for more details. Refer to the public API documentation for more details. Refer to the public API documentation for more usage details.

APIs 114

APIs Enterprise Government Accountability 114

AWS Machine Learning

NOVEMBER 22, 2024

Cloud providers have recognized the need to offer model inference through an API call, significantly streamlining the implementation of AI within applications. Although a single API call can address simple use cases, more complex ones may necessitate the use of multiple calls and integrations with other services.

APIs 104

APIs Technology Management Enterprise 104

AWS Machine Learning

MARCH 4, 2025

invoke(inputs["query"])) ) return retrieval_chain Option 2: Access the underlying Boto3 API The Boto3 API is able to directly retrieve with a dynamic retrieval_config. For Amazon Bedrock: Use IAM roles and policies to control access to Bedrock resources and APIs.

APIs 122

APIs Best practices Management Personalization 122

AWS Machine Learning

NOVEMBER 22, 2024

Reduced time and effort in testing and deploying AI workflows with SDK APIs and serverless infrastructure. We can also quickly integrate flows with our applications using the SDK APIs for serverless flow execution — without wasting time in deployment and infrastructure management.

APIs 128

APIs Chatbots Enterprise Customer centricity 128

AWS Machine Learning

APRIL 30, 2025

For anonymous Amazon Q Business applications, weve implemented a simple consumption-based pricing model where youre charged based on the number of Chat or ChatSync API operations your anonymous Amazon Q Business applications make. This policy limits actions to only the necessary APIs and restricts access to only your specific application.

APIs 77

APIs Enterprise Self service Accountability 77

AWS Machine Learning

MARCH 3, 2025

You can find detailed usage instructions, including sample API calls and code snippets for integration. However, to invoke the deployed model programmatically with Amazon Bedrock APIs, you need to use the endpoint ARN as model-id in the Amazon Bedrock SDK. To begin using Pixtral 12B, choose Deploy.

Benchmark 118

Benchmark APIs Enterprise Construction 118