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Amazon Bedrock announces the preview launch of Session Management APIs, a new capability that enables developers to simplify state and context management for generative AI applications built with popular open source frameworks such as LangGraph and LlamaIndex. Building generative AI applications requires more than model API calls.
In this post, we guide you through integrating Amazon Bedrock Agents with enterprise data APIs to create more personalized and effective customer support experiences. An automotive retailer might use inventory management APIs to track stock levels and catalog APIs for vehicle compatibility and specifications.
The custom Google Chat app, configured for HTTP integration, sends an HTTP request to an API Gateway endpoint. Before processing the request, a Lambda authorizer function associated with the API Gateway authenticates the incoming message. The following figure illustrates the high-level design of the solution.
It also uses a number of other AWS services such as Amazon API Gateway , AWS Lambda , and Amazon SageMaker. API Gateway is serverless and hence automatically scales with traffic. API Gateway also provides a WebSocket API. Incoming requests to the gateway go through this point.
Events are everywhere! The software development world has realized the benefits of modeling our business processes and application logic as a log of events. When we speak to subject matter experts, we naturally use events to describe business scenarios. Luckily for us, Vonage has a fantastic API for tracking phone calls !
Note that these APIs use objects as namespaces, alleviating the need for explicit imports. API Gateway supports multiple mechanisms for controlling and managing access to an API. AWS Lambda handles the REST API integration, processing the requests and invoking the appropriate AWS services.
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.
From gaming and entertainment to education and corporate events, live streams have become a powerful medium for real-time engagement and content consumption. Interactions with Amazon Bedrock are handled by a Lambda function, which implements the application logic underlying an API made available using API Gateway.
The Vonage Voice API WebSockets feature recently left Beta status and became generally available. Vonage APIAccount. To complete this tutorial, you will need a Vonage APIaccount. Once you have an account, you can find your API Key and API Secret at the top of the Vonage API Dashboard.
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.
In the event of a Regional outage or disruption, you can swiftly redirect your bot traffic to a different Region. Enabling Global Resiliency for an Amazon Lex bot is straightforward using the AWS Management Console , AWS Command Line Interface (AWS CLI), or APIs. We walk through the instructions to replicate the bot later in this post.
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.
Amazon Bedrock agents use LLMs to break down tasks, interact dynamically with users, run actions through API calls, and augment knowledge using Amazon Bedrock Knowledge Bases. In this post, we demonstrate how to use Amazon Bedrock Agents with a web search API to integrate dynamic web content in your generative AI application.
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.
Solution overview Our solution implements a verified semantic cache using the Amazon Bedrock Knowledge Bases Retrieve API to reduce hallucinations in LLM responses while simultaneously improving latency and reducing costs. The function checks the semantic cache (Amazon Bedrock Knowledge Bases) using the Retrieve API.
So much exposure naturally brings added risks like account takeover (ATO). Each year, bad actors compromise billions of accounts through stolen credentials, phishing, social engineering, and multiple forms of ATO. To put it into perspective: account takeover fraud increased by 90% to an estimated $11.4 Overview of solution.
Step Functions orchestrates AWS services like AWS Lambda and organization APIs like DataStore to ingest, process, and store data securely. For example, the Datastore API might require certain input like date periods to query data. Full Macie finding event: {. } The fetched data is put into an S3 data store bucket for processing.
This is the sixth tutorial on how to use Voice APIs with ASP.NET series. A Nexmo account, which you can sign up for here. To use The Nexmo Voice API , we need to create a voice application. The configuration steps are detailed in the Nexmo Voice API with ASP.NET: Before you start post. API References and Tools.
This is the sixth tutorial on how to use Voice APIs with ASP.NET series. A Nexmo account, which you can sign up for here. To use The Nexmo Voice API , we need to create a voice application. The configuration steps are detailed in the Nexmo Voice API with ASP.NET: Before you start post. API References and Tools.
SageMaker Feature Store now makes it effortless to share, discover, and access feature groups across AWS accounts. With this launch, account owners can grant access to select feature groups by other accounts using AWS Resource Access Manager (AWS RAM).
These articles show you how to get started with Nexmo APIs like SMS, Voice and Verify, so feel free to refer back to them as you go, or in case you’d like to add another functionality. A Nexmo account — create one for free if you haven’t already. Go to your dashboard to find your API key and secret and make a note of them.
We use various AWS services to deploy a complete solution that you can use to interact with an API providing real-time weather information. We also use identity pool to provide temporary AWS credentials for the user while they interact with Amazon Bedrock API. In this solution, we use Amazon Bedrock Agents.
In this walkthrough, we are going to create a Ruby on Rails conference call application that utilizes the Nexmo Voice API. To work through this tutorial, you will need a Nexmo account. Set up our Nexmo account, purchase a Nexmo phone number, and create a Nexmo Voice application. to_json end def event end end.
In this walkthrough, we are going to create a Ruby on Rails conference call application that utilizes the Nexmo Voice API. To work through this tutorial, you will need a Nexmo account. Set up our Nexmo account, purchase a Nexmo phone number, and create a Nexmo Voice application. to_json end def event end end.
Online fraud has a widespread impact on businesses and requires an effective end-to-end strategy to detect and prevent new account fraud and account takeovers, and stop suspicious payment transactions. Example use cases for this could be payment processing or high-volume account creation.
So, in this walkthrough, we are going to recreate the game of telephone utilizing Ruby on Rails, the Nexmo Voice API, and Google Cloud Platform Speech to Text and Translate APIs. Nexmo Account. Google Cloud Platform Account. Setting Up a Nexmo Account. Setting Up a Google Cloud Platform Account.
So, in this walkthrough, we are going to recreate the game of telephone utilizing Ruby on Rails, the Nexmo Voice API, and Google Cloud Platform Speech to Text and Translate APIs. Nexmo Account. Google Cloud Platform Account. Setting Up a Nexmo Account. Setting Up a Google Cloud Platform Account.
They often find themselves struggling with language barriers when it comes to setting up reminders for events like business gatherings and customer meetings. The original message ( example in Norwegian ) is sent to a Step Functions state machine using API Gateway. Generate an action plan list for events.
The implementation uses Slacks event subscription API to process incoming messages and Slacks Web API to send responses. The incoming event from Slack is sent to an endpoint in API Gateway, and Slack expects a response in less than 3 seconds, otherwise the request fails.
You can integrate Smartsheet to Amazon Q Business through the AWS Management Console , AWS Command Line Interface (AWS CLI), or the CreateDataSource API. In Smartsheet Have access to the Smartsheet Event Reporting API. In your AWS account Create an Amazon Q Business application. A Smartsheet access token.
The application uses event-driven architecture (EDA), a powerful software design pattern that you can use to build decoupled systems by communicating through events. The event starts an AWS Step Functions workflow. Detect if the review content has any harmful information using the Amazon Comprehend DetectToxicContent API.
Handling Basic Inquiries : Chat GPT can assist with basic inquiries such as order status, account information, shipping details, or product specifications. For access to the entire recorded Town Hall event, please visit CCNG.com, On-Demand Webinars.
Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon via a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.
At events I’ve run in the past, a phone number has been one way provided to attendees—they can either call or text the number and it forwards on to several organizers who have the responsibility to be available to deal with any issues. A Vonage APIaccount – take note of your API Key & Secret on the dashboard.
Vonage APIAccount. To complete this tutorial, you will need a Vonage APIaccount. Once you have an account, you can find your API Key and API Secret at the top of the Vonage API Dashboard. React has its SyntheticEvent instance that is a wrapper around a browser’s native event.
Amazon Bedrock , a fully managed service offering high-performing foundation models from leading AI companies through a single API, has recently introduced two significant evaluation capabilities: LLM-as-a-judge under Amazon Bedrock Model Evaluation and RAG evaluation for Amazon Bedrock Knowledge Bases.
Amazon Rekognition has two sets of APIs that help you moderate images or videos to keep digital communities safe and engaged. Some customers have asked if they could use this approach to moderate videos by sampling image frames and sending them to the Amazon Rekognition image moderation API.
The S3 bucket is configured using event notification. The Amazon Bedrock API returns the output Q&A JSON file to the Lambda function. The container image sends the REST API request to Amazon API Gateway (using the GET method). API Gateway communicates with the TakeExamFn Lambda function as a proxy.
The Slack application sends the event to Amazon API Gateway , which is used in the event subscription. API Gateway forwards the event to an AWS Lambda function. If you don’t have an AWS account, see How do I create and activate a new Amazon Web Services account? Toggle Enable Events on.
You receive results through an API and pay only for what you use, with no minimum fees or upfront commitments. Solution overview The real-time personalized recommendations solution is implemented using Amazon Personalize , Amazon Simple Storage Service (Amazon S3) , Amazon Kinesis Data Streams , AWS Lambda , and Amazon API Gateway.
Add team members using their email addresses—they will receive instructions to set up their accounts. Programmatic setup Alternatively, you can create your labeling job programmatically using the CreateLabelingJob API. On the SageMaker console, choose Labeling workforces. val(option).text(option)); append(qualityCheck).append(qualityLabel));
Analyst Notes Database Knowledge base containing reports from Analysts on their interpretation and analyis of economic events. Analyst Notes Database This is asking for interpretation of an event, I will look in Analyst Notes. Refer to this documentation for a detailed example of tool use with the Bedrock Converse API.
It’s straightforward to deploy in your AWS account. Prerequisites You need to have an AWS account and an AWS Identity and Access Management (IAM) role and user with permissions to create and manage the necessary resources and components for this application. Everything you need is provided as open source in our GitHub repo.
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.
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