Caution
The main branch is no longer maintained and is equivalent to the v0 version. Please consider migrating to the latest v1 branch which is now the default branch.
This repository is a sample chatbot using the Anthropic company's LLM Claude, one of the foundational models provided by Amazon Bedrock for generative AI.
Not only text but also images are available with Anthropic's Claude 3. Currently we support Haiku, Sonnet and Opus.
Add your own instruction and give external knowledge as URL or files (a.k.a RAG). The bot can be shared among application users. The customized bot also can be published as stand-alone API (See the detail).
Analyze usage for each user / bot on administrator dashboard. detail
- English 💬
- 日本語 💬 (ドキュメントはこちら)
- 한국어 💬
- 中文 💬
- Français 💬
- Deutsch 💬
- Español 💬
- Italian 💬
- In the us-east-1 region, open Bedrock Model access >
Manage model access> CheckAnthropic / Claude 3 Haiku,Anthropic / Claude 3 SonnetandCohere / Embed MultilingualthenSave changes.
Screenshot
- Open CloudShell at the region where you want to deploy
- Run deployment via following commands
git clone https://github.com/aws-samples/bedrock-claude-chat.git
cd bedrock-claude-chat
chmod +x bin.sh
./bin.shYou can now specify the following parameters during deployment to enhance security and customization:
- --disable-self-register: Disable self-registration (default: enabled). If this flag is set, you will need to create all users on cognito and it will not allow users to self register their accounts.
- --ipv4-ranges: Comma-separated list of allowed IPv4 ranges. (default: allow all ipv4 addresses)
- --ipv6-ranges: Comma-separated list of allowed IPv6 ranges. (default: allow all ipv6 addresses)
- --allowed-signup-email-domains: Comma-separated list of allowed email domains for sign-up. (default: no domain restriction)
- --region: Define the region where bedrock is available. (default: us-east-1)
./bin.sh --disable-self-register --ipv4-ranges "192.0.2.0/25,192.0.2.128/25" --ipv6-ranges "2001:db8:1:2::/64,2001:db8:1:3::/64" --allowed-signup-email-domains "example.com,anotherexample.com" --region "us-west-2"- After about 35 minutes, you will get the following output, which you can access from your browser
Frontend URL: https://xxxxxxxxx.cloudfront.net
The sign-up screen will appear as shown above, where you can register your email and log in.
Important
This deployment method allows anyone with the URL to sign up if optional parameters are not configured. For production use, we strongly recommend adding IP address restrictions and disabling self-signup to mitigate security risks (Defining the allowed-signup-email-domains to allow only your emails from your comapny domain to be able to sing-up to restrict the users). For ip address restriction use both ipv4-ranges and ipv6-ranges and to disable self-signup use disable-self-register when executing ./bin.
It's an architecture built on AWS managed services, eliminating the need for infrastructure management. Utilizing Amazon Bedrock, there's no need to communicate with APIs outside of AWS. This enables deploying scalable, reliable, and secure applications.
- Amazon DynamoDB: NoSQL database for conversation history storage
- Amazon API Gateway + AWS Lambda: Backend API endpoint (AWS Lambda Web Adapter, FastAPI)
- Amazon CloudFront + S3: Frontend application delivery (React, Tailwind CSS)
- AWS WAF: IP address restriction
- Amazon Cognito: User authentication
- Amazon Bedrock: Managed service to utilize foundational models via APIs. Claude is used for chat response and Cohere for vector embedding
- Amazon EventBridge Pipes: Receiving event from DynamoDB stream and launching ECS task to embed external knowledge
- Amazon Elastic Container Service: Run crawling, parsing and embedding tasks. Cohere Multilingual is the model used for embedding.
- Amazon Aurora PostgreSQL: Scalable vector store with pgvector plugin
- Amazon Athena: Query service to analyze S3 bucket
Super-easy Deployment uses AWS CodeBuild to perform deployment by CDK internally. This section describes the procedure for deploying directly with CDK.
- Please have UNIX, Docker and a Node.js runtime environment. If not, you can also use Cloud9
Important
If there is insufficient storage space in the local environment during deployment, CDK bootstrapping may result in an error. If you are running in Cloud9 etc., we recommend expanding the volume size of the instance before deploying.
- Clone this repository
git clone https://github.com/aws-samples/bedrock-claude-chat
- Install npm packages
cd bedrock-claude-chat
cd cdk
npm ci
- Install AWS CDK
npm i -g aws-cdk
- Before deploying the CDK, you will need to work with Bootstrap once for the region you are deploying to. In this example, we will deploy to the us-east-1 region. Please replace your account id into
<account id>.
cdk bootstrap aws://<account id>/us-east-1
-
If necessary, edit the following entries in cdk.json if necessary.
bedrockRegion: Region where Bedrock is available. NOTE: Bedrock does NOT support all regions for now.allowedIpV4AddressRanges,allowedIpV6AddressRanges: Allowed IP Address range.
-
Deploy this sample project
cdk deploy --require-approval never --all
- You will get output similar to the following. The URL of the web app will be output in
BedrockChatStack.FrontendURL, so please access it from your browser.
✅ BedrockChatStack
✨ Deployment time: 78.57s
Outputs:
BedrockChatStack.AuthUserPoolClientIdXXXXX = xxxxxxx
BedrockChatStack.AuthUserPoolIdXXXXXX = ap-northeast-1_XXXX
BedrockChatStack.BackendApiBackendApiUrlXXXXX = https://xxxxx.execute-api.ap-northeast-1.amazonaws.com
BedrockChatStack.FrontendURL = https://xxxxx.cloudfront.netUpdate enableMistral to true in cdk.json, and run cdk deploy.
...
"enableMistral": true,Important
This project focus on Anthropic Claude models, the Mistral models are limited supported. For example, prompt examples are based on Claude models. This is a Mistral-only option, once you toggled to enable Mistral models, you can only use Mistral models for all the chat features, NOT both Claude and Mistral models.
Users can adjust the text generation parameters from the custom bot creation screen. If the bot is not used, the default parameters set in config.py will be used.
DEFAULT_GENERATION_CONFIG = {
"max_tokens": 2000,
"top_k": 250,
"top_p": 0.999,
"temperature": 0.6,
"stop_sequences": ["Human: ", "Assistant: "],
}If using cli and CDK, please cdk destroy. If not, access CloudFormation and then delete BedrockChatStack and FrontendWafStack manually. Please note that FrontendWafStack is in us-east-1 region.
By setting cdk.json in the following CRON format, you can stop and restart Aurora Serverless resources created by the VectorStore construct. Applying this setting can reduce operating costs. By default, Aurora Serverless is always running. Note that it will be executed in UTC time.
...
"rdbSchedules": {
"stop": {
"minute": "50",
"hour": "10",
"day": "*",
"month": "*",
"year": "*"
},
"start": {
"minute": "40",
"hour": "2",
"day": "*",
"month": "*",
"year": "*"
}
}This asset automatically detects the language using i18next-browser-languageDetector. You can switch languages from the application menu. Alternatively, you can use Query String to set the language as shown below.
https://example.com?lng=ja
This sample has self sign up enabled by default. To disable self sign up, open cdk.json and switch selfSignUpEnabled as false. If you configure external identity provider, the value will be ignored and automatically disabled.
By default, this sample does not restrict the domains for sign-up email addresses. To allow sign-ups only from specific domains, open cdk.json and specify the domains as a list in allowedSignUpEmailDomains.
"allowedSignUpEmailDomains": ["example.com"],This sample supports external identity provider. Currently we support Google and custom OIDC provider.
See LOCAL DEVELOPMENT.
Thank you for considering contributing to this repository! We welcome bug fixes, language translations (i18n), feature enhancements, and other improvements.
For feature enhancements and other improvements, before creating a Pull Request, we would greatly appreciate it if you could create a Feature Request Issue to discuss the implementation approach and details. For bug fixes and language translations (i18n), proceed with creating a Pull Request directly.
Please also take a look at the following guidelines before contributing:
See here.
This library is licensed under the MIT-0 License. See the LICENSE file.