Amazon Bedrock を活用した RAG チャットボットアーキテクチャのハードニング : セキュアデザインのためのブループリントとアンチパターンへの緩和戦略 Amazon Web Services ブログ

Gain near real-time visibility into anomalous spend with AWS Cost Anomaly Detection alert notifications in Microsoft Teams and Slack by using AWS Chatbot. If you have less than administrative permissions, ensure you have the aforementioned permissions to create a configuration. Finally, under SNS topics, select the SNS topic that you created in Step 1. You can select multiple SNS topics from more than one public Region, granting them all the ability to notify the same Slack channel. Revcontent is a content discovery platform that helps advertisers drive highly engaged audiences through technology and partnerships with some of the world’s largest media brands.

We would love to have you on board to have a first-hand experience of Kommunicate. You can signup here and start delighting your customers right away. Choose whether to enable or disable this feature and click on Finish bot integration setup.

Synthesizing the data from all those different sources isn’t just hard work; it’s inefficient. AWS Chatbot is an interactive agent that makes it easier to monitor and interact with your AWS resources in your Microsoft Teams and Slack channels. LangChain is a toolkit designed for building applications that leverage language models. It helps in making these applications context-sensitive by linking them to various context sources, and also aids in decision-making based on this context.

AWS Systems Manager Incident Manager is an incident management console designed to help users mitigate and recover from incidents

affecting their AWS-hosted applications. An incident is any unplanned interruption or reduction in quality of services. You configure CloudWatch Events rules

for

AWS Health, and specify an SNS topic mapped in AWS Chatbot. AWS Health provides visibility into the state of your AWS resources, services, and

accounts.

Amazon’s Answer to ChatGPT Is a Workplace Assistant Called Q

Apple is likely to unveil its iPhone 16 series of phones and maybe even some Apple Watches at its Glowtime event on September 9.

• The first step is speech recognition—converting spoken word into text that a machine can more easily understand.
• Once you have the above information follow the below steps, click Save and Proceed.
• AWS recommends that you grant only the permissions required to perform a task for other users.
• Those bullet points were no doubt aimed at companies wary of adopting generative AI for liability and security reasons.

Combined with custom logic for dictating the flow of a conversation, Lex is able to respond to user commands and to send tasks off to Lambda for further processing. During a conversation, AWS Lex can also query users for additional information; for example, if a user is trying to book an appointment, Lex can ask the Chat GPT user for a date and time suitable for them. In the top-right corner, select the Slack workspace to configure and choose Agree. Your Slack workspace installs the AWS Slack App, and the AWS account that you logged in with can now send notifications. Building a chatbot was a complex process, but that was years ago.

Q can also troubleshoot things like network connectivity issues, analyzing network configurations to provide remediation steps. Onstage, Selipsky gave the example of an app that relies on high-performance https://chat.openai.com/ video encoding and transcoding. Asked about the best EC2 instance for the app in question, Q would give a list taking into account performance and cost considerations, Selipsky said.

This name will be visible to your users who interact with your bot. Once you save your slot type, you will have to navigate back to the Intents section on the left-hand side. We now have to add values to this slot, which are the options that a user will have. Select the “Slot types” on the left of the screen and click on the “Add slot type” drop-down menu.

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Waiting on hold, repeating information from one agent to the next, and generally spending too much time getting answers to questions can all lead to a lengthy and often frustrating customer journey. Today, AI is playing a role in improving this customer experience in call centers to include engagement through chatbots — intelligent, natural language virtual assistants. These chatbots are able to recognize human speech and understand the caller’s intent without requiring the caller to speak in specific phrases. Callers can perform tasks such as changing a password, requesting a balance on an account, or scheduling an appointment, without the need to speak to an agent. If you work on a DevOps team, you already know that monitoring systems and responding to events require major context switching. In the course of a day—or a single notification—teams might need to cycle among Slack, email, text messages, chat rooms, phone calls, video conversations and the AWS console.

Next comes the “Sample utterances” section, where you can specify the probable questions that a customer might ask your bot. When a person sends a query to Q, the bot can answer it using a specific model chosen by a company, or automatically route the question to the best system, although AWS isn’t sharing how. The latter is “more cost-efficient, but also flat out more effective,” Selipsky says.

Operationalize frequently used DevOps runbook processes and incident response tasks in chat channels with custom notifications, customizable actions, and command aliases. To top it all off, thanks to an intuitive setup wizard, AWS Chatbot only takes a few minutes to configure in your workspace. You simply go to the AWS console, authorize with Slack and add the Chatbot to your channel.

Once you have the above information follow the below steps, click Save and Proceed. In the image above, you can see that we are giving the name of the slot as “MovieName” and the Slot type as the custom-built type “MovieName”, which is now visible on the panel. This is the part where you collect a detail about the customer, something like a name or an email address.

Those bullet points were no doubt aimed at companies wary of adopting generative AI for liability and security reasons. Over a dozen companies have issued bans or restrictions on ChatGPT, expressing concerns about how data entered into the chatbot might be used and the risk of data leaks. No word on when or whether the subscription requirement will change. To prevent mistakes, Q has users inspect actions that it’s about to take before they run and link to the results for validation. If you do not have an AWS account, complete the following steps to create one.

You can run both read-only and mutative CLI commands in your Microsoft Teams and Slack channels. Refer to the AWS Chatbot documentation for the limitations compared to the AWS CLI. If you don’t remember the command syntax, AWS Chatbot will help you complete the command by providing command cues and asking for additional command parameters as needed. AWS Chatbot integrates with Microsoft Teams using an AWS Chatbot for Microsoft Teams app that you can install in your Microsoft Teams.

You create a Microsoft Teams channel configuration in AWS Chatbot console and authorize AWS Chatbot to send notifications to the configured channel and process AWS commands in the chat channel. The installation is performed with a click-through flow in a browser or using AWS CloudFormation templates and takes a few minutes to set up. DevOps teams widely use chat rooms as communications hubs where team members interact—both with one another and with the systems that they operate.

It’s even easier to set permissions for individual chat rooms and channels, determining who can take these actions through AWS Identity Access Management. AWS Chatbot comes loaded with pre-configured permissions templates, which of course can be customized to fit your organization. Message actions are shortcuts that let you take quick action by clicking a button on notifications and messages sent by AWS Chatbot. For example, CloudWatch Alarm notifications for Lambda functions and API Gateway stages have “Show Logs” and “Show Error Logs” buttons that display the logs for the affected resource in the chat channel.

A few sample applications are already made that you can try out for yourself, but we’ll go ahead and create a new custom bot so you can see how they’re built. With how latency dependant a chatbot usually is, it’s surprising to see only a few regions being supported, but Lex also only supports English so the region choices make sense. Machines don’t automatically understand human language though, so extracting the useful bits out of a given sentence is key to making the chatbot respond fluently to commands. AWS Comprehend does this with high accuracy and is able to pick out and identify keywords in input text. AWS Chatbot also supports several AWS services through CloudWatch Events.

You can configure as many channels with as many topics as you need. AWS Chatbot integrates with Slack using an AWS Chatbot Slack app that you can install to your Slack workspace from the AWS Chatbot console. The installation is performed with a click-through OAuth 2.0 flow in a browser and takes a few clicks.

Once your bot is done, you can give a response message letting the user know how the Lambda function handled their input, or simply thanking them for their service. From here, you can hit Build to test your bot in the integrated testing panel. It should respond to your utterance and ask you for each of the slots you’ve given it. It should respond well to changes in command structure, but if it doesn’t, you may want to add more utterances or expand your slot definitions. Parent composite alarms can have multiple triggering children however, the AWS Chatbot notification will only display a maximum of 3 of the total triggering metric children’s alarm states. For example,

if you have 10 total children alarms and 5 are currently triggered, the AWS Chatbot notification will display 3 of those 5.

With the advent of low-code no-code platforms, you can get up and running with building a bot without any need to know a programming language. To get started with AWS Chatbot, go to the AWS Chatbot console, create a configuration for Microsoft Teams, Slack, or Chime, and add AWS Chatbot to your channels or chatrooms. For the up-to-date list of supported services, see the AWS Chatbot documentation.

In order to successfully test the configuration from the console, your role must also have permission to use the AWS KMS key. After you sign up for an AWS account, secure your AWS account root user, enable AWS IAM Identity Center, and create an administrative user so that you

don’t use the root user for everyday tasks. You can also access the AWS Chatbot app from the Slack app directory.

Bots help facilitate these interactions, delivering important notifications and relaying commands from users back to systems. Many teams even prefer that operational events and notifications come through chat rooms where the entire team can see the notifications and discuss next steps. DevOps teams can receive real-time notifications that help them monitor their systems from within Slack. That means they can address situations before they become full-blown issues, whether it’s a budget deviation, a system overload or a security event.

With AWS Chatbot, you can use chat rooms to monitor and respond to events in your AWS Cloud. Find the URL of your private Slack channel by opening the context (right-click) menu on the channel name in the left sidebar in Slack, and choosing Copy link. AWS Chatbot can only work in a private channel if you invite the AWS bot to the channel by typing /invite @aws in Slack. First, create an SNS topic to connect CloudWatch with AWS Chatbot. If you already have an existing SNS topic, you can skip this step. Select Create bot from the menu and you are ready to get started with building your first bot.

If you have an existing AWS administrator user, you can access the AWS Chatbot console with no additional permissions. AWS recommends that you grant only the permissions required to perform a task for other users. For more information, see Apply least-privilege permissions in the AWS Identity and Access Management User Guide. For Send a notification to…, choose the SNS topic that you created in Step 1. To receive notifications when the alarm enters the OK state, choose Add notification, OK, and repeat the process. When something does require your attention, Slack plus AWS Chatbot helps you move work forward more efficiently.

AWS Chatbot allows you to communicate through chat channels and receive notifications and incident updates during an incident. You can also interact with the incident directly using chat commands. For more information, see Chat channels in the Incident Manager User Guide. You can also run AWS CLI commands directly in chat channels using AWS Chatbot.

You can retrieve diagnostic information, configure AWS resources, and run workflows. To run a command, AWS Chatbot checks that all required parameters are entered. If any are missing, AWS Chatbot prompts you for the required information.

AWS Chatbot supports using all supported AWS services in the

Regions where they are available. Run AWS Command Line Interface commands from Microsoft Teams and Slack channels to remediate your security findings. To let your user chat with the new bot, you need to assign all the conversations to the bot. After finishing the bot setup, click on Let this bot handle all the incoming conversations. Now, all new conversations initiated after the integration will be assigned to this bot, and your bot will start answering them.

The most important alerts from CloudWatch Alarms can be displayed as rich messages with graphs. Teams can set which AWS services send notifications where so developers aren’t bombarded with unnecessary information. AWS Chatbot configurations use IAM roles that the service assumes when making API calls and running commands on behalf of AWS Chatbot users.

AWS Config performs resource oversight and tracking for auditing and compliance, config change

management, troubleshooting, and security analysis. It provides a detailed view of AWS resources

configuration in your AWS account. The service also shows how resources relate to one another

and how they were configured in the past, so you can see how configurations and relationships

change over time. If you want to customize the message content of default service notifications or customize

messages for your application events, you can use custom notifications.

You can change this to call a Lambda function, passing the slot values as parameters to the function. With how metered all of the component services are, Lex itself is surprisingly simply priced—you’re charged $0.004 per voice request ($4 per thousand) and $0.001 per text request ($1 per thousand). Lex’s text output can also be converted to speech using AWS Polly, making for a seamless chatbot experience. AWS Lex is made up of many different machine-learning services, most of which are available as a standalone AWS service. Apple’s Glowtime iPhone event will include the iPhone 16, but may also feature new AirPods, a new Apple Watch and possibly even new Macs.

Give your topic a descriptive name and leave all other parameters at their default. Selecting a different region will change the language and content of slack.com. At Kommunicate, we envision a world-beating customer support solution to empower the new era of customer support.

You can either select a public channel from the dropdown list or paste the URL or ID of a private channel. You want to receive a notification every time the function invocation fails so that you can diagnose and fix problems as they occur. Not only does this speed up our development time, but it improves the overall development experience for the team.” — Kentaro Suzuki, Solution Architect – LIFULL Co., Ltd. Deploy the bot on a website or mobile app, and push it to its limit.

All this happens securely from within the Slack channels you already use every day. TransUnion is a worldwide information and insights enterprise that helps businesses transact with their customers using data such as credit scores, credit checks, and credit reports. The name and the profile picture will be visible to your users while interacting with your bot.

It provides information about the performance and availability of resources that

affect your applications running on AWS and guidance for remediation. AWS Health provides

this information in a console called the AWS Health Dashboard. If you would like to add AWS Chatbot access to an existing user or group, you can choose from allowed Chatbot actions in IAM. Slack redirects you from here to the Configure Slack Channel page.

In this next step, you will have to give basic details about the bot. We will create a bot that helps us book movie tickets at a nearby cinema—a simple chatbot use case. Once the bot starts an intent, it queries the user for additional data. Technically, you don’t need any additional data, and you can have your bot finish the conversation and perform its action right away.

You can set AWS Chatbot permissions scope with either a shared channel IAM role or an individual user IAM role. With a shared channel role, all channel members use a shared IAM role to run commands. Alternatively, you can configure AWS Chatbot to require channel members to choose an IAM role to run commands. The permissions scope is further controlled by channel guardrail IAM policies.

Refer to the AWS Chatbot documentation for details on permissions. To run a command in a Microsoft Teams or a Slack channel, first create a channel configuration using the AWS Chatbot console. To start interacting with AWS Chatbot in Microsoft Teams or Slack, type “@aws” followed by a command using the standard AWS CLI syntax. For example, type “@aws cloudwatch describe-alarms” to get a list and a chart of CloudWatch Alarms.

(You can read step-by-step instructions on the AWS DevOps Blog here.) And that means your teams are well on their way to better communication and faster incident resolutions. AWS Chatbot provides an audit log of commands it executes in CloudWatch Logs. This log includes executed commands and their chat workspace ID, channel ID, and channel user ID attributes. The audit log events in CloudWatch Logs are always enabled and can’t be disabled.

You can easily combine multiple alarms together into alarm hierarchies that only trigger once,

when multiple alarms fire at the same time. Selipsky underlined several times throughout the keynote that the answers Q gives — and the actions it takes — are fully controllable and filterable. Q will only return info a user’s authorized to see, and admins can restrict sensitive topics, having Q filter out inappropriate questions and answers where necessary. Q draws on its connections, integrations and data, including business-specific data, to come up with responses along with citations. AWS Chatbot currently supports service endpoints, however there are no adjustable quotas. For more information about AWS Chatbot AWS Region availability and quotas,

see AWS Chatbot endpoints and quotas.

AWS Chatbot helps your entire team stay updated on, respond to, and resolve operational events, security findings, and budget alerts for applications running in your AWS environment. AWS Chatbot supports commands for most AWS services, and its permissions scope is defined by the IAM role and channel IAM policy guardrails defined in your AWS Chatbot configurations. You can foun additiona information about ai customer service and artificial intelligence and NLP. Regardless of the IAM role permissions, access to certain services and commands, such as IAM and AWS Key Management Service (KMS), is disabled to prevent exposing credentials in chat channels.

In a Slack channel, you can receive a notification, retrieve diagnostic information, initiate workflows by invoking AWS Lambda functions, create AWS support cases or issue a command. You can think of these like arguments for a command—the bot must query the user for each argument before sending off its final action. The arguments are type sensitive, so if Lex asks a user how many items they would like to order, it won’t accept “green” as an answer. The first step is speech recognition—converting spoken word into text that a machine can more easily understand. AWS’s Transcribe service does this quite well, though it’s better suited for non-realtime applications, such as subtitling video or transcribing audio call logs. This step isn’t necessary if you’re making a text-based chatbot, but it’s crucial for bots like Alexa and Siri.

Selipsky points to OpenAI’s near-implosion last week to make the case for companies diversifying their AI providers. “You need not look any further than the events of the past ten days to understand how there will not be one model to rule them all,” he told WIRED ahead of today’s announcement. You cannot customize the formatting of AWS Chatbot notifications. Palm launched in 2023 with the goal of making cash management for enterprise treasury teams easier.

Establish integrations and security permissions

Remember, building a chatbot is not just a technical challenge, it is an opportunity to enhance user experience. You can create a private channel with just yourself and AWS Chatbot and use it for direct message communication. You can provision Microsoft Teams and Slack channel configurations using AWS CloudFormation. Provisioning Chime webhook configurations with AWS CloudFormation is currently not supported. Composite alarms allow you to combine multiple alarms to reduce alarm noise and focus on

critical operational issues.

AWS Chatbot

then confirms if the command is permissible by checking the command against what is allowed by the configured IAM roles and the channel guardrail policies. For more information, see Running AWS CLI commands from chat channels and Understanding permissions. Contacting customer service can often be a challenging experience, since the conversation engagement does not always meet the caller’s expectation.

AWS Chatbot supports both read-only and mutative CLI commands for most AWS services. Additionally, you can specify guardrail policy permissions to define allowable commands in your channel. To type a command, mention AWS Chatbot in a message by typing “@aws .” AWS Chatbot will provide command cues if you use incorrect syntax and will prompt you for additional command parameters as required.

You can think of Intents as certain actions your bot is capable of, such as scheduling appointments, ordering items, etc. Each intent needs a few trigger words, called utterances, which start the conversation. Try to keep these fairly brief; for example, “book an appointment” works better than “I would like to book an appointment.”

So I have named my chatbot  ”BookMovieTicket,” given a small description about the bot, and given all the requisite information. In this blog, I will help you understand the basic concepts of Lex and explain how to create a bot and integrate it into your website. Your engagement and support are greatly appreciated as we strive to keep you informed about aws chatbot interesting developments in the AI world and from Version 1 AI Labs. Here is an example of why new models such as GPT-3 are better in such scenarios than older ones like FLAN-XXL. I asked a question about toxicity based on the following paragraph from the LLama paper. By default, Lex runs in debug mode and simply returns the slot values once it’s done.

Thank you to our Diamond Sponsor Neon for supporting our community. You’re the first one out of the blocks to help others getting started with this HUGE technology. Thanks so much — can’t wait to get cranking with Bedrock using your pointers as a stepping stone. We can continue to run conversation.predict and see that it adds to the history of the conversation chain. The %pip command is a Jupyter magic command that allows for pip package management directly within the notebook.