From 128f861c48132b13ada04bf37a5618d6edb630ad Mon Sep 17 00:00:00 2001 From: Bigad Soleiman Date: Tue, 24 Oct 2023 12:58:14 +0100 Subject: [PATCH] Feat: IDEFICS models support + Mistral 7B Instruct (#135) * add [IDEFICS models](https://huggingface.co/blog/idefics), IDEFICS model interface and file upload capability in User Interface * update README with multimodal sample, instructions and warnings. * add [Mistral 7B Instruct](https://huggingface.co/mistralai/Mistral-7B-v0.1) support * remove LLama2 Base model --- README.md | 47 +- assets/multimodal-sample.gif | Bin 0 -> 3732247 bytes assets/select-multimodal.gif | Bin 0 -> 136646 bytes bin/aws-genai-llm-chatbot.ts | 2 +- bin/config.ts | 3 +- cli/magic-create.ts | 22 +- cli/magic.ts | 26 +- lib/authentication/index.ts | 29 +- lib/aws-genai-llm-chatbot-stack.ts | 123 +- lib/chatbot-api/chatbot-s3-buckets/index.ts | 34 + .../functions/api-handler/index.py | 4 +- .../api-handler/routes/{llms.py => models.py} | 8 +- .../incoming-message-handler/index.py | 7 +- lib/chatbot-api/index.ts | 25 +- lib/chatbot-api/rest-api.ts | 36 +- lib/chatbot-api/websocket-api.ts | 21 +- lib/llms/index.ts | 185 - .../request-handler/content_handler.py | 16 + .../functions/request-handler/index.py | 203 + lib/model-interfaces/idefics/index.ts | 236 + .../request-handler/adapters/base/base.py | 10 +- .../adapters/sagemaker/__init__.py | 1 + .../adapters/sagemaker/mistralai/__init__.py | 1 + .../sagemaker/mistralai/mistral_instruct.py | 64 + .../functions/request-handler/index.py | 21 +- lib/model-interfaces/langchain/index.ts | 26 +- lib/models/index.ts | 247 + .../create-aurora-workspace.ts | 2 +- lib/rag-engines/aurora-pgvector/index.ts | 2 +- .../data-import/file-import-workflow.ts | 2 +- lib/rag-engines/data-import/index.ts | 6 +- .../data-import/website-crawling-workflow.ts | 2 +- lib/rag-engines/index.ts | 16 +- .../create-opensearch-workspace.ts | 18 +- lib/rag-engines/opensearch-vector/index.ts | 12 +- lib/rag-engines/rag-dynamodb-tables/index.ts | 2 +- lib/rag-engines/sagemaker-rag-models/index.ts | 6 +- .../workspaces/delete-workspace.ts | 20 +- lib/rag-engines/workspaces/index.ts | 10 +- lib/sagemaker-model/container-images.ts | 4 +- lib/sagemaker-model/deploy-container-model.ts | 7 +- lib/sagemaker-model/deploy-package-model.ts | 2 +- .../hf-custom-script-model/index.ts | 2 +- lib/sagemaker-model/index.ts | 2 +- lib/sagemaker-model/types.ts | 2 +- lib/shared/index.ts | 30 +- lib/shared/layers/common/requirements.txt | 8 +- .../python/genai_core/aurora/query.py | 3 +- .../python/genai_core/kendra/data_sync.py | 9 +- .../python/genai_core/{llms.py => models.py} | 49 +- .../python/genai_core/opensearch/query.py | 3 +- .../python/genai_core/parameters.py | 10 +- .../python-sdk/python/genai_core/types.py | 41 +- .../python/genai_core/utils/websocket.py | 20 + .../python/genai_core/workspaces.py | 9 +- lib/shared/types.ts | 34 +- lib/user-interface/index.ts | 109 +- .../react-app/package-lock.json | 16980 +++++++++++++++- lib/user-interface/react-app/package.json | 14 +- .../src/common/api-client/api-client.ts | 12 +- .../{llms-client.ts => models-client.ts} | 8 +- .../react-app/src/common/types.ts | 19 +- .../components/chatbot/chat-input-panel.tsx | 250 +- .../src/components/chatbot/chat-message.tsx | 105 +- .../react-app/src/components/chatbot/chat.tsx | 5 +- .../src/components/chatbot/image-dialog.tsx | 207 + .../react-app/src/components/chatbot/types.ts | 48 +- .../react-app/src/components/chatbot/utils.ts | 6 + .../src/components/navigation-panel.tsx | 2 +- .../chatbot/models/column-definitions.tsx | 91 +- .../src/pages/chatbot/models/models.tsx | 22 +- .../react-app/src/pages/welcome.tsx | 48 +- .../react-app/src/styles/chat.module.scss | 10 + lib/user-interface/react-app/vite.config.ts | 46 +- package-lock.json | 1261 +- package.json | 9 +- 76 files changed, 19186 insertions(+), 1796 deletions(-) create mode 100644 assets/multimodal-sample.gif create mode 100644 assets/select-multimodal.gif create mode 100644 lib/chatbot-api/chatbot-s3-buckets/index.ts rename lib/chatbot-api/functions/api-handler/routes/{llms.py => models.py} (68%) delete mode 100644 lib/llms/index.ts create mode 100644 lib/model-interfaces/idefics/functions/request-handler/content_handler.py create mode 100644 lib/model-interfaces/idefics/functions/request-handler/index.py create mode 100644 lib/model-interfaces/idefics/index.ts create mode 100644 lib/model-interfaces/langchain/functions/request-handler/adapters/sagemaker/mistralai/__init__.py create mode 100644 lib/model-interfaces/langchain/functions/request-handler/adapters/sagemaker/mistralai/mistral_instruct.py create mode 100644 lib/models/index.ts rename lib/shared/layers/python-sdk/python/genai_core/{llms.py => models.py} (54%) create mode 100644 lib/shared/layers/python-sdk/python/genai_core/utils/websocket.py rename lib/user-interface/react-app/src/common/api-client/{llms-client.ts => models-client.ts} (51%) create mode 100644 lib/user-interface/react-app/src/components/chatbot/image-dialog.tsx diff --git a/README.md b/README.md index 0bb1bcc27..106e0d98d 100644 --- a/README.md +++ b/README.md @@ -1,4 +1,4 @@ -# Deploying a Multi-LLM and Multi-RAG Powered Chatbot Using AWS CDK on AWS +# Deploying a Multi-Model and Multi-RAG Powered Chatbot Using AWS CDK on AWS [![Release Notes](https://img.shields.io/github/v/release/aws-samples/aws-genai-llm-chatbot)](https://github.com/aws-samples/aws-genai-llm-chatbot/releases) [![GitHub star chart](https://img.shields.io/github/stars/aws-samples/aws-genai-llm-chatbot?style=social)](https://star-history.com/#aws-samples/aws-genai-llm-chatbot) [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT) @@ -27,7 +27,7 @@ # Features ## Modular, comprehensive and ready to use -This solution provides ready-to-use code so you can start **experimenting with a variety of Large Language Models, settings and prompts** in your own AWS account. +This solution provides ready-to-use code so you can start **experimenting with a variety of Large Language Models and Multimodal Language Models, settings and prompts** in your own AWS account. Supported model providers: - [Amazon Bedrock](https://aws.amazon.com/bedrock/) @@ -35,6 +35,15 @@ Supported model providers: - Third-party providers via API such as Anthropic, Cohere, AI21 Labs, OpenAI, etc. [See available langchain integrations](https://python.langchain.com/docs/integrations/llms/) for a comprehensive list. +## Experiment with multimodal models +Deploy [IDEFICS](https://huggingface.co/blog/idefics) models on [Amazon SageMaker](https://aws.amazon.com/sagemaker/) and see how the chatbot can answer questions about images, describe visual content, generate text grounded in multiple images. + + +![sample](assets/multimodal-sample.gif "AWS GenAI Chatbot") + +Read more how to deploy multimodal IDEFICS on Amazon SageMaker [here](#multimodal-models). + + ## Experiment with multiple RAG options with Workspaces A workspace is a logical namespace where you can upload files for indexing and storage in one of the vector databases. You can select the embeddings model and text-splitting configuration of your choice. @@ -52,10 +61,10 @@ The solution comes with several debugging tools to help you debug RAG scenarios: ## Full-fledged User Interface -The repository includes a CDK construct to deploy a **full-fledged UI** built with [React](https://react.dev/) to interact with the deployed LLMs as chatbots. Hosted on [Amazon S3](https://aws.amazon.com/s3/) and distributed with [Amazon CloudFront](https://aws.amazon.com/cloudfront/). +The repository includes a CDK construct to deploy a **full-fledged UI** built with [React](https://react.dev/) to interact with the deployed LLMs/MLMs as chatbots. Hosted on [Amazon S3](https://aws.amazon.com/s3/) and distributed with [Amazon CloudFront](https://aws.amazon.com/cloudfront/). -Protected with [Amazon Cognito Authentication](https://aws.amazon.com/cognito/) to help you interact and experiment with multiple LLMs, multiple RAG engines, conversational history support and document upload/progress. +Protected with [Amazon Cognito Authentication](https://aws.amazon.com/cognito/) to help you interact and experiment with multiple LLMs/MLMs, multiple RAG engines, conversational history support and document upload/progress. The interface layer between the UI and backend is built with [API Gateway REST API](https://docs.aws.amazon.com/apigateway/latest/developerguide/apigateway-rest-api.html) for management requests and [Amazon API Gateway WebSocket APIs](https://docs.aws.amazon.com/apigateway/latest/developerguide/apigateway-websocket-api.html) for chatbot messages and responses. @@ -68,7 +77,7 @@ Design system provided by [AWS Cloudscape Design System](https://cloudscape.desi Before you begin using the solution, there are certain precautions you must take into account: -- **Cost Management with self-hosted models on SageMaker**: Be mindful of the costs associated with AWS resources, especially with SageMaker models billed by the hour. While the sample is designed to be cost-effective, leaving serverful resources running for extended periods or deploying numerous LLMs can quickly lead to increased costs. +- **Cost Management with self-hosted models on SageMaker**: Be mindful of the costs associated with AWS resources, especially with SageMaker models billed by the hour. While the sample is designed to be cost-effective, leaving serverful resources running for extended periods or deploying numerous LLMs/MLMs can quickly lead to increased costs. - **Licensing obligations**: If you choose to use any datasets or models alongside the provided samples, ensure you check the LLM code and comply with all licensing obligations attached to them. @@ -206,7 +215,7 @@ npm install && npm run build npm run create ``` You'll be prompted to configure the different aspects of the solution, such as: -- The LLMs to enable (we support all models provided by Bedrock, FalconLite, LLama 2 and more to come) +- The LLMs or MLMs to enable (we support all models provided by Bedrock along with SageMaker hosted Idefics, FalconLite, Mistral and more to come) - Setup of the RAG system: engine selection (i.e. Aurora w/ pgvector, OpenSearch, Kendra..) embeddings selection and more to come. When done, answer `Y` to create a new configuration. @@ -251,16 +260,42 @@ GenAIChatBotStack.ApiKeysSecretNameXXXX = ApiKeysSecretName-xxxxxx 10. Login with the user created in .8; you will be asked to change the password. + +# Multimodal models +Currently the following multimodal models supported are: +- [IDEFICS 9b Instruct](https://huggingface.co/HuggingFaceM4/idefics-9b) + - Requires `ml.g5.12xlarge` instance. +- [IDEFICS 80b Instruct](https://huggingface.co/HuggingFaceM4/idefics-80b-instruct) + - Requires `ml.g5.48xlarge` instance. + +In order to have the right instance types and how to request them read [Amazon SageMaker requirements](#amazon-sagemaker-requirements-for-self-hosted-models-only) + +> NOTE: Make sure to review [IDEFICS models license sections](https://huggingface.co/HuggingFaceM4/idefics-80b-instruct#license). + +To deploy a multimodal model simply follow the [deploy instructions](#deploy) +and select one ot the supported models (press Space to select/deselect) from the magic-create CLI step and deploy as [instructed in the above section]((#deployment-dependencies-installation)). + +![sample](assets/select-multimodal.gif "AWS GenAI Chatbot") + + +> ⚠️ NOTE ⚠️ Amazon SageMaker are billed by the hour. Be aware not letting this models running unused to avoid unncesseray costs. + + + # Run user interface locally See instructions in the README file of the [`lib/user-interface/react-app`](./lib/user-interface/react-app) folder. + + # Clean up You can remove the stacks and all the associated resources created in your AWS account by running the following command: ```bash npx cdk destroy ``` +> **Note**: Depending on which resources have been deployed. Destroying the stack might take a while up to 45m. If deletion fails multipe times please manually delete the remaining stack's ENIs, you can filter ENIs by VPC/Subnet/etc using the search bar [here](https://console.aws.amazon.com/ec2/home#NIC) in the AWS console) and re-attempt a stack deletion. + # Architecture This repository comes with several reusable CDK constructs. 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a/bin/aws-genai-llm-chatbot.ts b/bin/aws-genai-llm-chatbot.ts index 235279478..632a6aeeb 100644 --- a/bin/aws-genai-llm-chatbot.ts +++ b/bin/aws-genai-llm-chatbot.ts @@ -1,6 +1,6 @@ #!/usr/bin/env node -import "source-map-support/register"; import * as cdk from "aws-cdk-lib"; +import "source-map-support/register"; import { AwsGenAILLMChatbotStack } from "../lib/aws-genai-llm-chatbot-stack"; import { getConfig } from "./config"; diff --git a/bin/config.ts b/bin/config.ts index e7d37f6c6..0fd22c72c 100644 --- a/bin/config.ts +++ b/bin/config.ts @@ -1,6 +1,5 @@ import { SupportedRegion, - SupportedSageMakerLLM, SystemConfig, } from "../lib/shared/types"; import { existsSync, readFileSync } from "fs"; @@ -22,7 +21,7 @@ export function getConfig(): SystemConfig { endpointUrl: "https://bedrock-runtime.us-east-1.amazonaws.com", }, llms: { - // sagemaker: [SupportedSageMakerLLM.FalconLite] + // sagemaker: [SupportedSageMakerModels.FalconLite] sagemaker: [], }, rag: { diff --git a/cli/magic-create.ts b/cli/magic-create.ts index 36b7ed215..2aa2e7a2a 100644 --- a/cli/magic-create.ts +++ b/cli/magic-create.ts @@ -7,7 +7,7 @@ import { Command } from "commander"; import * as enquirer from "enquirer"; import { SupportedRegion, - SupportedSageMakerLLM, + SupportedSageMakerModels, SystemConfig, } from "../lib/shared/types"; import { LIB_VERSION } from "./version.js"; @@ -61,7 +61,7 @@ const embeddingModels = [ options.bedrockRegion = config.bedrock?.region; options.bedrockEndpoint = config.bedrock?.endpointUrl; options.bedrockRoleArn = config.bedrock?.roleArn; - options.sagemakerLLMs = config.llms.sagemaker; + options.sagemakerModels = config.llms?.sagemaker; options.enableRag = config.rag.enabled; options.ragsToEnable = Object.keys(config.rag.engines).filter( (v: string) => (config.rag.engines as any)[v].enabled @@ -125,6 +125,7 @@ async function processCreateOptions(options: any): Promise { SupportedRegion.US_WEST_2, SupportedRegion.EU_CENTRAL_1, SupportedRegion.AP_SOUTHEAST_1, + SupportedRegion.AP_NORTHEAST_1, ], initial: options.bedrockRegion ?? "us-east-1", skip() { @@ -154,22 +155,23 @@ async function processCreateOptions(options: any): Promise { }, { type: "multiselect", - name: "sagemakerLLMs", + name: "sagemakerModels", message: - "Which Sagemaker LLMs do you want to enable (enter for None, space to select)", - choices: Object.values(SupportedSageMakerLLM), - initial: options.sagemakerLLMs || [], + "Which SageMaker Models do you want to enable (enter for None, space to select)", + choices: Object.values(SupportedSageMakerModels), + initial: options.sagemakerModels || [], }, { type: "confirm", name: "enableRag", message: "Do you want to enable RAG", - initial: options.enableRag || true, + initial: options.enableRag || false, }, { type: "multiselect", name: "ragsToEnable", - message: "Which datastores do you want to enable for RAG", + message: + "Which datastores do you want to enable for RAG (enter for None, space to select)", choices: [ { message: "Aurora", name: "aurora" }, { message: "OpenSearch", name: "opensearch" }, @@ -301,7 +303,7 @@ async function processCreateOptions(options: any): Promise { } : undefined, llms: { - sagemaker: answers.sagemakerLLMs, + sagemaker: answers.sagemakerModels, }, rag: { enabled: answers.enableRag, @@ -354,7 +356,7 @@ async function processCreateOptions(options: any): Promise { type: "confirm", name: "create", message: "Do you want to create a new config based on the above", - initial: false, + initial: true, }, ])) as any ).create diff --git a/cli/magic.ts b/cli/magic.ts index 2d427b6b1..e9c53ec89 100644 --- a/cli/magic.ts +++ b/cli/magic.ts @@ -1,17 +1,17 @@ -#!/usr/bin/env node +#!/usr/bin/env node // You might want to add this to the previous line --experimental-specifier-resolution=node -import { Command } from 'commander'; -import { LIB_VERSION } from './version.js' +import { Command } from "commander"; +import { LIB_VERSION } from "./version.js"; -(async () =>{ - let program = new Command(); - program - .version(LIB_VERSION) - .command('create', '📦 creates a new configuration for the a Chatbot') - .command('show','🚚 display the current chatbot configuration') - .command('deploy', '🌟 deploys the chatbot to your account') - .description('🛠️ Easily create a chatbots'); +(async () => { + let program = new Command(); + program + .version(LIB_VERSION) + .command("create", "📦 creates a new configuration for the a Chatbot") + .command("show", "🚚 display the current chatbot configuration") + .command("deploy", "🌟 deploys the chatbot to your account") + .description("🛠️ Easily create a chatbots"); - program.parse(process.argv); -} )(); \ No newline at end of file + program.parse(process.argv); +})(); diff --git a/lib/authentication/index.ts b/lib/authentication/index.ts index 3f13f6aef..66821d5cf 100644 --- a/lib/authentication/index.ts +++ b/lib/authentication/index.ts @@ -1,3 +1,4 @@ +import * as cognitoIdentityPool from "@aws-cdk/aws-cognito-identitypool-alpha"; import * as cdk from "aws-cdk-lib"; import * as cognito from "aws-cdk-lib/aws-cognito"; import { Construct } from "constructs"; @@ -5,6 +6,7 @@ import { Construct } from "constructs"; export class Authentication extends Construct { public readonly userPool: cognito.UserPool; public readonly userPoolClient: cognito.UserPoolClient; + public readonly identityPool: cognitoIdentityPool.IdentityPool; constructor(scope: Construct, id: string) { super(scope, id); @@ -27,8 +29,24 @@ export class Authentication extends Construct { }, }); + const identityPool = new cognitoIdentityPool.IdentityPool( + this, + "IdentityPool", + { + authenticationProviders: { + userPools: [ + new cognitoIdentityPool.UserPoolAuthenticationProvider({ + userPool, + userPoolClient, + }), + ], + }, + } + ); + this.userPool = userPool; this.userPoolClient = userPoolClient; + this.identityPool = identityPool; new cdk.CfnOutput(this, "UserPoolId", { value: userPool.userPoolId, @@ -36,11 +54,14 @@ export class Authentication extends Construct { new cdk.CfnOutput(this, "UserPoolWebClientId", { value: userPoolClient.userPoolClientId, - }) - - new cdk.CfnOutput(this, 'UserPoolLink', { - value: `https://${cdk.Stack.of(this).region}.console.aws.amazon.com/cognito/v2/idp/user-pools/${userPool.userPoolId}/users?region=${cdk.Stack.of(this).region}`, }); + new cdk.CfnOutput(this, "UserPoolLink", { + value: `https://${ + cdk.Stack.of(this).region + }.console.aws.amazon.com/cognito/v2/idp/user-pools/${ + userPool.userPoolId + }/users?region=${cdk.Stack.of(this).region}`, + }); } } diff --git a/lib/aws-genai-llm-chatbot-stack.ts b/lib/aws-genai-llm-chatbot-stack.ts index 9a21d59e9..4dc196a17 100644 --- a/lib/aws-genai-llm-chatbot-stack.ts +++ b/lib/aws-genai-llm-chatbot-stack.ts @@ -1,13 +1,14 @@ import * as cdk from "aws-cdk-lib"; import { Construct } from "constructs"; -import { SystemConfig } from "./shared/types"; +import { SystemConfig, ModelInterface, Direction } from "./shared/types"; import { Authentication } from "./authentication"; import { UserInterface } from "./user-interface"; import { Shared } from "./shared"; import { ChatBotApi } from "./chatbot-api"; import { RagEngines } from "./rag-engines"; -import { LargeLanguageModels } from "./llms"; +import { Models } from "./models"; import { LangChainInterface } from "./model-interfaces/langchain"; +import { IdeficsInterface } from "./model-interfaces/idefics"; import * as subscriptions from "aws-cdk-lib/aws-sns-subscriptions"; import * as sns from "aws-cdk-lib/aws-sns"; @@ -28,14 +29,10 @@ export class AwsGenAILLMChatbotStack extends cdk.Stack { const shared = new Shared(this, "Shared", { config: props.config }); const authentication = new Authentication(this, "Authentication"); - const languageModels = new LargeLanguageModels( - this, - "LargeLanguageModels", - { - config: props.config, - shared, - } - ); + const models = new Models(this, "Models", { + config: props.config, + shared, + }); let ragEngines: RagEngines | undefined = undefined; if (props.config.rag.enabled) { @@ -50,41 +47,99 @@ export class AwsGenAILLMChatbotStack extends cdk.Stack { config: props.config, ragEngines: ragEngines, userPool: authentication.userPool, - llms: languageModels.llms, - llmsParameter: languageModels.llmsParameter, + modelsParameter: models.modelsParameter, + models: models.models, }); // Langchain Interface Construct // This is the model interface recieving messages from the websocket interface via the message topic // and interacting with the model via LangChain library - const langchainInterface = new LangChainInterface( - this, - "LangchainInterface", - { + const langchainModels = models.models.filter( + (model) => model.interface === ModelInterface.LangChain + ); + + // check if any deployed model requires langchain interface or if bedrock is enabled from config + if (langchainModels.length > 0 || props.config.bedrock?.enabled) { + const langchainInterface = new LangChainInterface( + this, + "LangchainInterface", + { + shared, + config: props.config, + ragEngines, + messagesTopic: chatBotApi.messagesTopic, + sessionsTable: chatBotApi.sessionsTable, + byUserIdIndex: chatBotApi.byUserIdIndex, + } + ); + + // Route all incoming messages targeted to langchain to the langchain model interface queue + chatBotApi.messagesTopic.addSubscription( + new subscriptions.SqsSubscription(langchainInterface.ingestionQueue, { + filterPolicyWithMessageBody: { + direction: sns.FilterOrPolicy.filter( + sns.SubscriptionFilter.stringFilter({ + allowlist: [Direction.In], + }) + ), + modelInterface: sns.FilterOrPolicy.filter( + sns.SubscriptionFilter.stringFilter({ + allowlist: [ModelInterface.LangChain], + }) + ), + }, + }) + ); + + for (const model of models.models) { + if (model.interface === ModelInterface.LangChain) { + langchainInterface.addSageMakerEndpoint(model); + } + } + } + + // IDEFICS Interface Construct + // This is the model interface recieving messages from the websocket interface via the message topic + // and interacting with IDEFICS visual language models + const ideficsModels = models.models.filter( + (model) => model.interface === ModelInterface.Idefics + ); + + // check if any deployed model requires idefics interface + if (ideficsModels.length > 0) { + const ideficsInterface = new IdeficsInterface(this, "IdeficsInterface", { shared, config: props.config, - ragEngines, messagesTopic: chatBotApi.messagesTopic, sessionsTable: chatBotApi.sessionsTable, byUserIdIndex: chatBotApi.byUserIdIndex, - } - ); + chatbotFilesBucket: chatBotApi.filesBucket, + }); - // Route all incoming messages to the langchain model interface queue - chatBotApi.messagesTopic.addSubscription( - new subscriptions.SqsSubscription(langchainInterface.ingestionQueue, { - filterPolicyWithMessageBody: { - direction: sns.FilterOrPolicy.filter( - sns.SubscriptionFilter.stringFilter({ - allowlist: ["IN"], - }) - ), - }, - }) - ); + // Route all incoming messages targeted to idefics to the idefics model interface queue + chatBotApi.messagesTopic.addSubscription( + new subscriptions.SqsSubscription(ideficsInterface.ingestionQueue, { + filterPolicyWithMessageBody: { + direction: sns.FilterOrPolicy.filter( + sns.SubscriptionFilter.stringFilter({ + allowlist: [Direction.In], + }) + ), + modelInterface: sns.FilterOrPolicy.filter( + sns.SubscriptionFilter.stringFilter({ + allowlist: [ModelInterface.Idefics], + }) + ), + }, + }) + ); - for (const model of languageModels.llms) { - langchainInterface.addSageMakerEndpoint(model); + for (const model of models.models) { + // if model name contains idefics then add to idefics interface + if (model.interface === ModelInterface.Idefics) { + ideficsInterface.addSageMakerEndpoint(model); + } + } } new UserInterface(this, "UserInterface", { @@ -92,8 +147,10 @@ export class AwsGenAILLMChatbotStack extends cdk.Stack { config: props.config, userPoolId: authentication.userPool.userPoolId, userPoolClientId: authentication.userPoolClient.userPoolClientId, + identityPool: authentication.identityPool, restApi: chatBotApi.restApi, webSocketApi: chatBotApi.webSocketApi, + chatbotFilesBucket: chatBotApi.filesBucket, }); } } diff --git a/lib/chatbot-api/chatbot-s3-buckets/index.ts b/lib/chatbot-api/chatbot-s3-buckets/index.ts new file mode 100644 index 000000000..cb57bb9b4 --- /dev/null +++ b/lib/chatbot-api/chatbot-s3-buckets/index.ts @@ -0,0 +1,34 @@ +import * as cdk from "aws-cdk-lib"; +import { Construct } from "constructs"; +import * as s3 from "aws-cdk-lib/aws-s3"; + +export class ChatBotS3Buckets extends Construct { + public readonly filesBucket: s3.Bucket; + + constructor(scope: Construct, id: string) { + super(scope, id); + + const filesBucket = new s3.Bucket(this, "FilesBucket", { + blockPublicAccess: s3.BlockPublicAccess.BLOCK_ALL, + removalPolicy: cdk.RemovalPolicy.DESTROY, + autoDeleteObjects: true, + transferAcceleration: true, + cors: [ + { + allowedHeaders: ["*"], + allowedMethods: [ + s3.HttpMethods.PUT, + s3.HttpMethods.POST, + s3.HttpMethods.GET, + s3.HttpMethods.HEAD, + ], + allowedOrigins: ["*"], + exposedHeaders: ["ETag"], + maxAge: 3000, + }, + ], + }); + + this.filesBucket = filesBucket; + } +} diff --git a/lib/chatbot-api/functions/api-handler/index.py b/lib/chatbot-api/functions/api-handler/index.py index 1257c7caa..2344dc368 100644 --- a/lib/chatbot-api/functions/api-handler/index.py +++ b/lib/chatbot-api/functions/api-handler/index.py @@ -17,7 +17,7 @@ from routes.embeddings import router as embeddings_router from routes.cross_encoders import router as cross_encoders_router from routes.rag import router as rag_router -from routes.llms import router as llms_router +from routes.models import router as models_router from routes.workspaces import router as workspaces_router from routes.sessions import router as sessions_router from routes.semantic_search import router as semantic_search_router @@ -39,7 +39,7 @@ app.include_router(rag_router) app.include_router(embeddings_router) app.include_router(cross_encoders_router) -app.include_router(llms_router) +app.include_router(models_router) app.include_router(workspaces_router) app.include_router(sessions_router) app.include_router(semantic_search_router) diff --git a/lib/chatbot-api/functions/api-handler/routes/llms.py b/lib/chatbot-api/functions/api-handler/routes/models.py similarity index 68% rename from lib/chatbot-api/functions/api-handler/routes/llms.py rename to lib/chatbot-api/functions/api-handler/routes/models.py index e4e6f48df..6c58bf797 100644 --- a/lib/chatbot-api/functions/api-handler/routes/llms.py +++ b/lib/chatbot-api/functions/api-handler/routes/models.py @@ -1,4 +1,4 @@ -import genai_core.llms +import genai_core.models from aws_lambda_powertools import Logger, Tracer from aws_lambda_powertools.event_handler.api_gateway import Router @@ -7,9 +7,9 @@ logger = Logger() -@router.get("/llms") +@router.get("/models") @tracer.capture_method -def llms(): - models = genai_core.llms.list_models() +def models(): + models = genai_core.models.list_models() return {"ok": True, "data": models} diff --git a/lib/chatbot-api/functions/incoming-message-handler/index.py b/lib/chatbot-api/functions/incoming-message-handler/index.py index 397ae8b8a..6bf42f428 100644 --- a/lib/chatbot-api/functions/incoming-message-handler/index.py +++ b/lib/chatbot-api/functions/incoming-message-handler/index.py @@ -17,15 +17,16 @@ def handle_message(connection_id, user_id, body): action = body["action"] + model_interface = body.get("modelInterface", "langchain") data = body.get("data", {}) - return handle_request(connection_id, user_id, action, data) + return handle_request(connection_id, user_id, action, model_interface, data) -def handle_request(connection_id, user_id, action, data): +def handle_request(connection_id, user_id, action, model_interface, data): message = { - "type": "text", "action": action, + "modelInterface": model_interface, "direction": "IN", "connectionId": connection_id, "timestamp": str(int(round(datetime.now().timestamp()))), diff --git a/lib/chatbot-api/index.ts b/lib/chatbot-api/index.ts index 831bc41ba..f1dda76ed 100644 --- a/lib/chatbot-api/index.ts +++ b/lib/chatbot-api/index.ts @@ -1,24 +1,26 @@ -import { Construct } from "constructs"; -import { Shared } from "../shared"; -import { SageMakerLLMEndpoint, SystemConfig } from "../shared/types"; -import { RestApi } from "./rest-api"; -import { WebSocketApi } from "./websocket-api"; -import { ChatBotDynamoDBTables } from "./chatbot-dynamodb-tables"; -import { RagEngines } from "../rag-engines"; +import * as apigwv2 from "@aws-cdk/aws-apigatewayv2-alpha"; import * as apigateway from "aws-cdk-lib/aws-apigateway"; import * as cognito from "aws-cdk-lib/aws-cognito"; import * as dynamodb from "aws-cdk-lib/aws-dynamodb"; -import * as apigwv2 from "@aws-cdk/aws-apigatewayv2-alpha"; +import * as s3 from "aws-cdk-lib/aws-s3"; import * as sns from "aws-cdk-lib/aws-sns"; import * as ssm from "aws-cdk-lib/aws-ssm"; +import { Construct } from "constructs"; +import { RagEngines } from "../rag-engines"; +import { Shared } from "../shared"; +import { SageMakerModelEndpoint, SystemConfig } from "../shared/types"; +import { ChatBotDynamoDBTables } from "./chatbot-dynamodb-tables"; +import { ChatBotS3Buckets } from "./chatbot-s3-buckets"; +import { RestApi } from "./rest-api"; +import { WebSocketApi } from "./websocket-api"; export interface ChatBotApiProps { readonly shared: Shared; readonly config: SystemConfig; readonly ragEngines?: RagEngines; readonly userPool: cognito.UserPool; - readonly llmsParameter: ssm.StringParameter; - readonly llms: SageMakerLLMEndpoint[]; + readonly modelsParameter: ssm.StringParameter; + readonly models: SageMakerModelEndpoint[]; } export class ChatBotApi extends Construct { @@ -27,11 +29,13 @@ export class ChatBotApi extends Construct { public readonly messagesTopic: sns.Topic; public readonly sessionsTable: dynamodb.Table; public readonly byUserIdIndex: string; + public readonly filesBucket: s3.Bucket; constructor(scope: Construct, id: string, props: ChatBotApiProps) { super(scope, id); const chatTables = new ChatBotDynamoDBTables(this, "ChatDynamoDBTables"); + const chatBuckets = new ChatBotS3Buckets(this, "ChatBuckets"); const restApi = new RestApi(this, "RestApi", { ...props, @@ -46,5 +50,6 @@ export class ChatBotApi extends Construct { this.messagesTopic = webSocketApi.messagesTopic; this.sessionsTable = chatTables.sessionsTable; this.byUserIdIndex = chatTables.byUserIdIndex; + this.filesBucket = chatBuckets.filesBucket; } } diff --git a/lib/chatbot-api/rest-api.ts b/lib/chatbot-api/rest-api.ts index 6e289e4cd..a5b59d2d2 100644 --- a/lib/chatbot-api/rest-api.ts +++ b/lib/chatbot-api/rest-api.ts @@ -1,17 +1,17 @@ -import * as path from "path"; -import { Construct } from "constructs"; -import { Shared } from "../shared"; -import { SystemConfig, SageMakerLLMEndpoint } from "../shared/types"; -import { RagEngines } from "../rag-engines"; import * as cdk from "aws-cdk-lib"; -import * as ec2 from "aws-cdk-lib/aws-ec2"; import * as apigateway from "aws-cdk-lib/aws-apigateway"; -import * as lambda from "aws-cdk-lib/aws-lambda"; -import * as iam from "aws-cdk-lib/aws-iam"; -import * as logs from "aws-cdk-lib/aws-logs"; import * as cognito from "aws-cdk-lib/aws-cognito"; import * as dynamodb from "aws-cdk-lib/aws-dynamodb"; +import * as ec2 from "aws-cdk-lib/aws-ec2"; +import * as iam from "aws-cdk-lib/aws-iam"; +import * as lambda from "aws-cdk-lib/aws-lambda"; +import * as logs from "aws-cdk-lib/aws-logs"; import * as ssm from "aws-cdk-lib/aws-ssm"; +import { Construct } from "constructs"; +import * as path from "path"; +import { RagEngines } from "../rag-engines"; +import { Shared } from "../shared"; +import { SageMakerModelEndpoint, SystemConfig } from "../shared/types"; export interface RestApiProps { readonly shared: Shared; @@ -20,8 +20,8 @@ export interface RestApiProps { readonly userPool: cognito.UserPool; readonly sessionsTable: dynamodb.Table; readonly byUserIdIndex: string; - readonly llmsParameter: ssm.StringParameter; - readonly llms: SageMakerLLMEndpoint[]; + readonly modelsParameter: ssm.StringParameter; + readonly models: SageMakerModelEndpoint[]; } export class RestApi extends Construct { @@ -47,18 +47,16 @@ export class RestApi extends Construct { logRetention: logs.RetentionDays.ONE_WEEK, layers: [ props.shared.powerToolsLayer, - props.shared.commonLayer.layer, + props.shared.commonLayer, props.shared.pythonSDKLayer, ], vpc: props.shared.vpc, securityGroups: [apiSecurityGroup], - vpcSubnets: props.shared.vpc.selectSubnets({ - subnetType: ec2.SubnetType.PRIVATE_WITH_EGRESS, - }), + vpcSubnets: props.shared.vpc.privateSubnets as ec2.SubnetSelection, environment: { ...props.shared.defaultEnvironmentVariables, CONFIG_PARAMETER_NAME: props.shared.configParameter.parameterName, - LARGE_LANGUAGE_MODELS_PARAMETER_NAME: props.llmsParameter.parameterName, + MODELS_PARAMETER_NAME: props.modelsParameter.parameterName, X_ORIGIN_VERIFY_SECRET_ARN: props.shared.xOriginVerifySecret.secretArn, API_KEYS_SECRETS_ARN: props.shared.apiKeysSecret.secretArn, SESSIONS_TABLE_NAME: props.sessionsTable.tableName, @@ -192,7 +190,7 @@ export class RestApi extends Construct { new iam.PolicyStatement({ actions: ["kendra:Retrieve", "kendra:Query"], resources: [ - `arn:aws:kendra:${item.region}:${cdk.Aws.ACCOUNT_ID}:index/${item.kendraId}`, + `arn:${cdk.Aws.PARTITION}:kendra:${item.region}:${cdk.Aws.ACCOUNT_ID}:index/${item.kendraId}`, ], }) ); @@ -221,7 +219,7 @@ export class RestApi extends Construct { ); } - for (const model of props.llms) { + for (const model of props.models) { apiHandler.addToRolePolicy( new iam.PolicyStatement({ actions: ["sagemaker:InvokeEndpoint"], @@ -243,7 +241,7 @@ export class RestApi extends Construct { props.shared.xOriginVerifySecret.grantRead(apiHandler); props.shared.apiKeysSecret.grantRead(apiHandler); props.shared.configParameter.grantRead(apiHandler); - props.llmsParameter.grantRead(apiHandler); + props.modelsParameter.grantRead(apiHandler); props.sessionsTable.grantReadWriteData(apiHandler); props.ragEngines?.uploadBucket.grantReadWrite(apiHandler); props.ragEngines?.processingBucket.grantReadWrite(apiHandler); diff --git a/lib/chatbot-api/websocket-api.ts b/lib/chatbot-api/websocket-api.ts index 54ca6b8a2..e3379d3df 100644 --- a/lib/chatbot-api/websocket-api.ts +++ b/lib/chatbot-api/websocket-api.ts @@ -1,17 +1,18 @@ -import * as path from "path"; -import { Construct } from "constructs"; -import { Shared } from "../shared"; +import * as apigwv2 from "@aws-cdk/aws-apigatewayv2-alpha"; import { WebSocketLambdaAuthorizer } from "@aws-cdk/aws-apigatewayv2-authorizers-alpha"; import { WebSocketLambdaIntegration } from "@aws-cdk/aws-apigatewayv2-integrations-alpha"; -import * as apigwv2 from "@aws-cdk/aws-apigatewayv2-alpha"; import * as cdk from "aws-cdk-lib"; import * as dynamodb from "aws-cdk-lib/aws-dynamodb"; import * as iam from "aws-cdk-lib/aws-iam"; import * as lambda from "aws-cdk-lib/aws-lambda"; -import * as sns from "aws-cdk-lib/aws-sns"; -import * as sqs from "aws-cdk-lib/aws-sqs"; import * as lambdaEventSources from "aws-cdk-lib/aws-lambda-event-sources"; +import * as sns from "aws-cdk-lib/aws-sns"; import * as subscriptions from "aws-cdk-lib/aws-sns-subscriptions"; +import * as sqs from "aws-cdk-lib/aws-sqs"; +import { Construct } from "constructs"; +import * as path from "path"; +import { Shared } from "../shared"; +import { Direction } from "../shared/types"; interface WebSocketApiProps { readonly shared: Shared; @@ -130,7 +131,7 @@ export class WebSocketApi extends Construct { new iam.PolicyStatement({ actions: ["events:PutEvents"], resources: [ - `arn:aws:events:${cdk.Aws.REGION}:${cdk.Aws.ACCOUNT_ID}:event-bus/default`, + `arn:${cdk.Aws.PARTITION}:events:${cdk.Aws.REGION}:${cdk.Aws.ACCOUNT_ID}:event-bus/default`, ], }) ); @@ -139,7 +140,7 @@ export class WebSocketApi extends Construct { new iam.PolicyStatement({ actions: ["execute-api:ManageConnections"], resources: [ - `arn:aws:execute-api:${cdk.Aws.REGION}:${cdk.Aws.ACCOUNT_ID}:${webSocketApi.apiId}/${stage.stageName}/*/*`, + `arn:${cdk.Aws.PARTITION}:execute-api:${cdk.Aws.REGION}:${cdk.Aws.ACCOUNT_ID}:${webSocketApi.apiId}/${stage.stageName}/*/*`, ], }) ); @@ -176,7 +177,7 @@ export class WebSocketApi extends Construct { new iam.PolicyStatement({ actions: ["execute-api:ManageConnections"], resources: [ - `arn:aws:execute-api:${cdk.Aws.REGION}:${cdk.Aws.ACCOUNT_ID}:${webSocketApi.apiId}/${stage.stageName}/*/*`, + `arn:${cdk.Aws.PARTITION}:execute-api:${cdk.Aws.REGION}:${cdk.Aws.ACCOUNT_ID}:${webSocketApi.apiId}/${stage.stageName}/*/*`, ], }) ); @@ -213,7 +214,7 @@ export class WebSocketApi extends Construct { filterPolicyWithMessageBody: { direction: sns.FilterOrPolicy.filter( sns.SubscriptionFilter.stringFilter({ - allowlist: ["OUT"], + allowlist: [Direction.Out], }) ), }, diff --git a/lib/llms/index.ts b/lib/llms/index.ts deleted file mode 100644 index ba9895f37..000000000 --- a/lib/llms/index.ts +++ /dev/null @@ -1,185 +0,0 @@ -import * as cdk from "aws-cdk-lib"; -import { Construct } from "constructs"; -import { Shared } from "../shared"; -import { - ContainerImages, - DeploymentType, - SageMakerModel, -} from "../sagemaker-model"; -import { - SageMakerLLMEndpoint, - SupportedSageMakerLLM, - SystemConfig, -} from "../shared/types"; -import * as ssm from "aws-cdk-lib/aws-ssm"; - -export interface LargeLanguageModelsProps { - readonly config: SystemConfig; - readonly shared: Shared; -} - -export class LargeLanguageModels extends Construct { - public readonly llms: SageMakerLLMEndpoint[]; - public readonly llmsParameter: ssm.StringParameter; - - constructor(scope: Construct, id: string, props: LargeLanguageModelsProps) { - super(scope, id); - - const llms: SageMakerLLMEndpoint[] = []; - - if ( - props.config.llms?.sagemaker.includes(SupportedSageMakerLLM.FalconLite) - ) { - const falconLite = new SageMakerModel(this, "FalconLite", { - vpc: props.shared.vpc, - region: cdk.Aws.REGION, - model: { - type: DeploymentType.Container, - modelId: "amazon/FalconLite", - container: ContainerImages.HF_PYTORCH_LLM_TGI_INFERENCE_0_9_3, - instanceType: "ml.g5.12xlarge", - // https://github.com/awslabs/extending-the-context-length-of-open-source-llms/blob/main/custom-tgi-ecr/deploy.ipynb - containerStartupHealthCheckTimeoutInSeconds: 600, - env: { - SM_NUM_GPUS: JSON.stringify(4), - MAX_INPUT_LENGTH: JSON.stringify(12000), - MAX_TOTAL_TOKENS: JSON.stringify(12001), - HF_MODEL_QUANTIZE: "gptq", - TRUST_REMOTE_CODE: JSON.stringify(true), - MAX_BATCH_PREFILL_TOKENS: JSON.stringify(12001), - MAX_BATCH_TOTAL_TOKENS: JSON.stringify(12001), - GPTQ_BITS: JSON.stringify(4), - GPTQ_GROUPSIZE: JSON.stringify(128), - DNTK_ALPHA_SCALER: JSON.stringify(0.25), - }, - }, - }); - - llms.push({ - name: "amazon-FalconLite", - endpoint: falconLite.endpoint, - }); - } - - // To get Jumpstart model ARNs do the following - // 1. Identify the modelId via https://sagemaker.readthedocs.io/en/stable/doc_utils/pretrainedmodels.html - // 2. Run the following code - // - // from sagemaker.jumpstart.model import JumpStartModel - // region = 'us-east-1' - // model_id = 'meta-textgeneration-llama-2-13b' - // model = JumpStartModel(model_id=model_id, region=region) - // print(model.model_package_arn) - - if ( - props.config.llms?.sagemaker.includes( - SupportedSageMakerLLM.Llama2_13b_Base - ) - ) { - const llama2base = new SageMakerModel(this, "LLamaV2_13B_Base", { - vpc: props.shared.vpc, - region: cdk.Aws.REGION, - model: { - type: DeploymentType.ModelPackage, - modelId: "meta-LLama2-13b-base", - instanceType: "ml.g5.12xlarge", - packages: (scope) => - new cdk.CfnMapping(scope, "Llama2BasePackageMapping", { - lazy: true, - mapping: { - "ap-southeast-1": { - arn: "arn:aws:sagemaker:ap-southeast-1:192199979996:model-package/llama2-13b-v4-c4de6690de6132cb962827bec6ef6811", - }, - "ap-southeast-2": { - arn: "arn:aws:sagemaker:ap-southeast-2:666831318237:model-package/llama2-13b-v4-c4de6690de6132cb962827bec6ef6811", - }, - "eu-west-1": { - arn: "arn:aws:sagemaker:eu-west-1:985815980388:model-package/llama2-13b-v4-c4de6690de6132cb962827bec6ef6811", - }, - "us-east-1": { - arn: "arn:aws:sagemaker:us-east-1:865070037744:model-package/llama2-13b-v4-c4de6690de6132cb962827bec6ef6811", - }, - "us-east-2": { - arn: "arn:aws:sagemaker:us-east-2:057799348421:model-package/llama2-13b-v4-c4de6690de6132cb962827bec6ef6811", - }, - "us-west-2": { - arn: "arn:aws:sagemaker:us-west-2:594846645681:model-package/llama2-13b-v4-c4de6690de6132cb962827bec6ef6811", - }, - }, - }), - }, - }); - - llms.push({ - name: "meta-LLama2-13b-base", - endpoint: llama2base.endpoint, - }); - } - - // To get Jumpstart model ARNs do the following - // 1. Identify the modelId via https://sagemaker.readthedocs.io/en/stable/doc_utils/pretrainedmodels.html - // 2. Run the following code - // - // from sagemaker.jumpstart.model import JumpStartModel - // region = 'us-east-1' - // model_id = 'meta-textgeneration-llama-2-13b-f' - // model = JumpStartModel(model_id=model_id, region=region) - // print(model.model_package_arn) - if ( - props.config.llms.sagemaker.includes( - SupportedSageMakerLLM.Llama2_13b_Chat - ) - ) { - const llama2chat = new SageMakerModel(this, "LLamaV2_13B_Chat", { - vpc: props.shared.vpc, - region: cdk.Aws.REGION, - model: { - type: DeploymentType.ModelPackage, - modelId: "meta-LLama2-13b-chat", - instanceType: "ml.g5.12xlarge", - packages: (scope) => - new cdk.CfnMapping(scope, "Llama2ChatPackageMapping", { - lazy: true, - mapping: { - "ap-southeast-1": { - arn: "arn:aws:sagemaker:ap-southeast-1:192199979996:model-package/llama2-13b-f-v4-55c7c39a0cf535e8bad0d342598c219b", - }, - "ap-southeast-2": { - arn: "arn:aws:sagemaker:ap-southeast-2:666831318237:model-package/llama2-13b-f-v4-55c7c39a0cf535e8bad0d342598c219b", - }, - "eu-west-1": { - arn: "arn:aws:sagemaker:eu-west-1:985815980388:model-package/llama2-13b-f-v4-55c7c39a0cf535e8bad0d342598c219b", - }, - "us-east-1": { - arn: "arn:aws:sagemaker:us-east-1:865070037744:model-package/llama2-13b-f-v4-55c7c39a0cf535e8bad0d342598c219b", - }, - "us-east-2": { - arn: "arn:aws:sagemaker:us-east-2:057799348421:model-package/llama2-13b-f-v4-55c7c39a0cf535e8bad0d342598c219b", - }, - "us-west-2": { - arn: "arn:aws:sagemaker:us-west-2:594846645681:model-package/llama2-13b-f-v4-55c7c39a0cf535e8bad0d342598c219b", - }, - }, - }), - }, - }); - - llms.push({ - name: "meta-LLama2-13b-chat", - endpoint: llama2chat.endpoint, - }); - } - - const llmsParameter = new ssm.StringParameter(this, "LLMsParameter", { - stringValue: JSON.stringify( - llms.map((model) => ({ - name: model.name, - endpoint: model.endpoint.endpointName, - })) - ), - }); - - this.llms = llms; - this.llmsParameter = llmsParameter; - } -} diff --git a/lib/model-interfaces/idefics/functions/request-handler/content_handler.py b/lib/model-interfaces/idefics/functions/request-handler/content_handler.py new file mode 100644 index 000000000..afcd08adf --- /dev/null +++ b/lib/model-interfaces/idefics/functions/request-handler/content_handler.py @@ -0,0 +1,16 @@ +import json +from langchain.llms.sagemaker_endpoint import LLMContentHandler + + +class ContentHandler(LLMContentHandler): + content_type = "application/json" + accepts = "application/json" + + def transform_input(self, prompt: str, model_kwargs) -> bytes: + req = {"inputs": prompt, "parameters": model_kwargs} + input_str = json.dumps(req) + return input_str.encode("utf-8") + + def transform_output(self, output: bytes): + response_json = json.loads(output.read().decode("utf-8")) + return response_json[0]["generated_text"].split("Assistant:")[-1] diff --git a/lib/model-interfaces/idefics/functions/request-handler/index.py b/lib/model-interfaces/idefics/functions/request-handler/index.py new file mode 100644 index 000000000..efe5c2c3b --- /dev/null +++ b/lib/model-interfaces/idefics/functions/request-handler/index.py @@ -0,0 +1,203 @@ +import os +import json +import uuid +from datetime import datetime +from urllib.parse import urljoin + +from aws_lambda_powertools import Logger, Tracer +from aws_lambda_powertools.utilities.batch import BatchProcessor, EventType +from aws_lambda_powertools.utilities.batch.exceptions import BatchProcessingError +from aws_lambda_powertools.utilities.data_classes.sqs_event import SQSRecord +from aws_lambda_powertools.utilities.typing import LambdaContext + +from langchain.llms import SagemakerEndpoint + +from genai_core.langchain import DynamoDBChatMessageHistory +from genai_core.utils.websocket import send_to_client +from genai_core.types import ChatbotAction, ChatbotMessageType + +from content_handler import ContentHandler + +processor = BatchProcessor(event_type=EventType.SQS) +tracer = Tracer() +logger = Logger() + + +def handle_run(record): + connection_id = record["connectionId"] + user_id = record["userId"] + data = record["data"] + provider = data["provider"] + model_id = data["modelName"] + mode = data["mode"] + model_kwargs = data.get("modelKwargs", {}) + prompt = data["text"] + session_id = data.get("sessionId") + files = data.get("files", []) + + if not files: + files = [] + + if not session_id: + session_id = str(uuid.uuid4()) + + chat_history = DynamoDBChatMessageHistory( + table_name=os.environ["SESSIONS_TABLE_NAME"], + session_id=session_id, + user_id=user_id, + ) + + messages = chat_history.messages + + params = { + "do_sample": True, + "top_p": 0.2, + "temperature": 0.4, + "top_k": 50, + "max_new_tokens": 512, + "stop": ["User:", ""], + } + print(model_kwargs) + params = {} + if "temperature" in model_kwargs: + params["temperature"] = model_kwargs["temperature"] + if "topP" in model_kwargs: + params["top_p"] = model_kwargs["topP"] + if "maxTokens" in model_kwargs: + params["max_new_tokens"] = model_kwargs["maxTokens"] + + human_prompt_template = "User:{prompt}" + human_prompt_with_image = "User:{prompt}![]({image})" + ai_prompt_template = "Assistant:{prompt}" + + prompts = [] + for message in messages: + if message.type.lower() == ChatbotMessageType.Human.value.lower(): + message_files = message.additional_kwargs.get("files", []) + if not message_files: + prompts.append(human_prompt_template.format(prompt=message.content)) + for message_file in message_files: + prompts.append( + human_prompt_with_image.format( + prompt=message.content, + image=f"{urljoin(os.environ['CHATBOT_FILES_PRIVATE_API'], message_file['key'])}", + ) + ) + if message.type.lower() == ChatbotMessageType.AI.value.lower(): + prompts.append(ai_prompt_template.format(prompt=message.content)) + + if not files: + prompts.append(human_prompt_template.format(prompt=prompt)) + + for file in files: + key = file["key"] + prompts.append( + human_prompt_with_image.format( + prompt=prompt, + image=f"{urljoin(os.environ['CHATBOT_FILES_PRIVATE_API'], key)}", + ) + ) + + prompts.append("\nAssistant:") + + prompt_template = "".join(prompts) + print(prompt_template) + + mlm = SagemakerEndpoint( + endpoint_name=model_id, + region_name=os.environ["AWS_REGION"], + model_kwargs=params, + content_handler=ContentHandler(), + ) + + mlm_response = mlm.predict(prompt_template) + + metadata = { + "provider": provider, + "modelId": model_id, + "modelKwargs": model_kwargs, + "mode": mode, + "sessionId": session_id, + "userId": user_id, + } + if files: + metadata["files"] = files + + chat_history.add_user_message(prompt) + chat_history.add_metadata(metadata) + chat_history.add_ai_message(mlm_response) + + response = { + "sessionId": session_id, + "type": "text", + "content": mlm_response, + } + + send_to_client( + { + "type": "text", + "action": ChatbotAction.FINAL_RESPONSE.value, + "connectionId": connection_id, + "timestamp": str(int(round(datetime.now().timestamp()))), + "userId": user_id, + "data": response, + } + ) + + +@tracer.capture_method +def record_handler(record: SQSRecord): + payload: str = record.body + message: dict = json.loads(payload) + detail: dict = json.loads(message["Message"]) + logger.info(detail) + + if detail["action"] == ChatbotAction.RUN.value: + handle_run(detail) + + +def handle_failed_records(records): + for triplet in records: + status, error, record = triplet + payload: str = record.body + message: dict = json.loads(payload) + detail: dict = json.loads(message["Message"]) + logger.info(detail) + connection_id = detail["connectionId"] + user_id = detail["userId"] + data = detail.get("data", {}) + session_id = data.get("sessionId", "") + + send_to_client( + { + "type": "text", + "action": ChatbotAction.FINAL_RESPONSE.value, + "connectionId": connection_id, + "userId": user_id, + "timestamp": str(int(round(datetime.now().timestamp()))), + "data": { + "sessionId": session_id, + "content": str(error), + "type": "text", + }, + } + ) + + +@logger.inject_lambda_context(log_event=True) +@tracer.capture_lambda_handler +def handler(event, context: LambdaContext): + batch = event["Records"] + + try: + with processor(records=batch, handler=record_handler): + processed_messages = processor.process() + except BatchProcessingError as e: + logger.error(e) + + logger.info(processed_messages) + handle_failed_records( + message for message in processed_messages if message[0] == "fail" + ) + + return processor.response() diff --git a/lib/model-interfaces/idefics/index.ts b/lib/model-interfaces/idefics/index.ts new file mode 100644 index 000000000..36b4d2d9a --- /dev/null +++ b/lib/model-interfaces/idefics/index.ts @@ -0,0 +1,236 @@ +import * as cdk from "aws-cdk-lib"; +import * as apigateway from "aws-cdk-lib/aws-apigateway"; +import * as dynamodb from "aws-cdk-lib/aws-dynamodb"; +import * as ec2 from "aws-cdk-lib/aws-ec2"; +import * as iam from "aws-cdk-lib/aws-iam"; +import * as lambda from "aws-cdk-lib/aws-lambda"; +import * as lambdaEventSources from "aws-cdk-lib/aws-lambda-event-sources"; +import * as logs from "aws-cdk-lib/aws-logs"; +import * as s3 from "aws-cdk-lib/aws-s3"; +import { CfnEndpoint } from "aws-cdk-lib/aws-sagemaker"; +import * as sns from "aws-cdk-lib/aws-sns"; +import * as sqs from "aws-cdk-lib/aws-sqs"; +import { Construct } from "constructs"; +import * as path from "path"; +import { Shared } from "../../shared"; +import { SystemConfig } from "../../shared/types"; + +interface IdeficsInterfaceProps { + readonly shared: Shared; + readonly config: SystemConfig; + readonly messagesTopic: sns.Topic; + readonly sessionsTable: dynamodb.Table; + readonly byUserIdIndex: string; + readonly chatbotFilesBucket: s3.Bucket; +} + +export class IdeficsInterface extends Construct { + public readonly ingestionQueue: sqs.Queue; + public readonly requestHandler: lambda.Function; + + constructor(scope: Construct, id: string, props: IdeficsInterfaceProps) { + super(scope, id); + + const lambdaDurationInMinutes = 15; + + // Create a private API to serve images and other files from S3 + // in order to avoid using signed URLs and run out of input tokens + // with the idefics model + const vpcDefaultSecurityGroup = ec2.SecurityGroup.fromSecurityGroupId( + this, + "VPCDefaultSecurityGroup", + props.shared.vpc.vpcDefaultSecurityGroup + ); + + const vpcEndpoint = props.shared.vpc.addInterfaceEndpoint( + "PrivateApiEndpoint", + { + service: ec2.InterfaceVpcEndpointAwsService.APIGATEWAY, + privateDnsEnabled: true, + open: true, + securityGroups: [vpcDefaultSecurityGroup], + } + ); + + const api = new apigateway.RestApi(this, "ChatbotFilesPrivateApi", { + deployOptions: { + stageName: "prod", + }, + binaryMediaTypes: ["*/*"], + endpointConfiguration: { + types: [apigateway.EndpointType.PRIVATE], + vpcEndpoints: [vpcEndpoint], + }, + policy: new iam.PolicyDocument({ + statements: [ + new iam.PolicyStatement({ + actions: ["execute-api:Invoke"], + effect: iam.Effect.ALLOW, + resources: ["execute-api:/*/*/*"], + principals: [new iam.AnyPrincipal()], + }), + new iam.PolicyStatement({ + actions: ["execute-api:Invoke"], + effect: iam.Effect.DENY, + resources: ["execute-api:/*/*/*"], + principals: [new iam.AnyPrincipal()], + conditions: { + StringNotEquals: { + "aws:SourceVpce": vpcEndpoint.vpcEndpointId, + }, + }, + }), + ], + }), + }); + + // Create an API Gateway resource that proxies to the S3 bucket: + const integrationRole = new iam.Role(this, "S3IntegrationRole", { + assumedBy: new iam.ServicePrincipal("apigateway.amazonaws.com"), + managedPolicies: [ + iam.ManagedPolicy.fromAwsManagedPolicyName( + "service-role/AmazonAPIGatewayPushToCloudWatchLogs" + ), + ], + }); + integrationRole.addToPolicy( + new iam.PolicyStatement({ + actions: ["s3:Get*", "s3:List*"], + effect: iam.Effect.ALLOW, + resources: [ + `${props.chatbotFilesBucket.bucketArn}/*`, + `${props.chatbotFilesBucket.bucketArn}/*/*`, + ], + }) + ); + integrationRole.addToPolicy( + new iam.PolicyStatement({ + actions: ["kms:Decrypt", "kms:ReEncryptFrom"], + effect: iam.Effect.ALLOW, + resources: ["*"], + }) + ); + + const s3Integration = new apigateway.AwsIntegration({ + service: "s3", + integrationHttpMethod: "GET", + region: cdk.Aws.REGION, + path: `${props.chatbotFilesBucket.bucketName}/public/{object}`, + options: { + credentialsRole: integrationRole, + requestParameters: { + "integration.request.path.object": "method.request.path.object", + }, + integrationResponses: [ + { + statusCode: "200", + responseParameters: { + "method.response.header.Content-Type": + "integration.response.header.Content-Type", + }, + }, + ], + }, + }); + + const fileResource = api.root.addResource("{object}"); + fileResource.addMethod("ANY", s3Integration, { + methodResponses: [ + { + statusCode: "200", + responseParameters: { + "method.response.header.Content-Type": true, + }, + }, + ], + requestParameters: { + "method.request.path.object": true, + "method.request.header.Content-Type": true, + }, + }); + + const requestHandler = new lambda.Function( + this, + "IdeficsInterfaceRequestHandler", + { + vpc: props.shared.vpc, + code: lambda.Code.fromAsset( + path.join(__dirname, "./functions/request-handler") + ), + runtime: props.shared.pythonRuntime, + handler: "index.handler", + layers: [ + props.shared.powerToolsLayer, + props.shared.commonLayer, + props.shared.pythonSDKLayer, + ], + architecture: props.shared.lambdaArchitecture, + tracing: lambda.Tracing.ACTIVE, + timeout: cdk.Duration.minutes(lambdaDurationInMinutes), + memorySize: 1024, + logRetention: logs.RetentionDays.ONE_WEEK, + environment: { + ...props.shared.defaultEnvironmentVariables, + CONFIG_PARAMETER_NAME: props.shared.configParameter.parameterName, + SESSIONS_TABLE_NAME: props.sessionsTable.tableName, + SESSIONS_BY_USER_ID_INDEX_NAME: props.byUserIdIndex, + MESSAGES_TOPIC_ARN: props.messagesTopic.topicArn, + CHATBOT_FILES_BUCKET_NAME: props.chatbotFilesBucket.bucketName, + CHATBOT_FILES_PRIVATE_API: api.url, + }, + } + ); + + props.chatbotFilesBucket.grantRead(requestHandler); + props.sessionsTable.grantReadWriteData(requestHandler); + props.messagesTopic.grantPublish(requestHandler); + props.shared.configParameter.grantRead(requestHandler); + + const deadLetterQueue = new sqs.Queue(this, "DLQ"); + const queue = new sqs.Queue(this, "Queue", { + removalPolicy: cdk.RemovalPolicy.DESTROY, + // https://docs.aws.amazon.com/lambda/latest/dg/with-sqs.html#events-sqs-queueconfig + visibilityTimeout: cdk.Duration.minutes(lambdaDurationInMinutes * 6), + deadLetterQueue: { + queue: deadLetterQueue, + maxReceiveCount: 3, + }, + }); + + queue.addToResourcePolicy( + new iam.PolicyStatement({ + actions: ["sqs:SendMessage"], + resources: [queue.queueArn], + principals: [ + new iam.ServicePrincipal("events.amazonaws.com"), + new iam.ServicePrincipal("sqs.amazonaws.com"), + ], + }) + ); + + requestHandler.addEventSource(new lambdaEventSources.SqsEventSource(queue)); + + this.ingestionQueue = queue; + this.requestHandler = requestHandler; + } + + public addSageMakerEndpoint({ + endpoint, + name, + }: { + endpoint: CfnEndpoint; + name: string; + }) { + this.requestHandler.addToRolePolicy( + new iam.PolicyStatement({ + actions: ["sagemaker:InvokeEndpoint"], + resources: [endpoint.ref], + }) + ); + const cleanName = name.replace(/[\s.\-_]/g, "").toUpperCase(); + this.requestHandler.addEnvironment( + `SAGEMAKER_ENDPOINT_${cleanName}`, + endpoint.attrEndpointName + ); + } +} diff --git a/lib/model-interfaces/langchain/functions/request-handler/adapters/base/base.py b/lib/model-interfaces/langchain/functions/request-handler/adapters/base/base.py index 1334712ad..e017f5689 100644 --- a/lib/model-interfaces/langchain/functions/request-handler/adapters/base/base.py +++ b/lib/model-interfaces/langchain/functions/request-handler/adapters/base/base.py @@ -5,12 +5,14 @@ from langchain.chains import ConversationalRetrievalChain, ConversationChain from langchain.memory import ConversationBufferMemory from langchain.prompts.prompt import PromptTemplate -from genai_core.langchain import WorkspaceRetriever, DynamoDBChatMessageHistory from langchain.chains.conversational_retrieval.prompts import ( QA_PROMPT, CONDENSE_QUESTION_PROMPT, ) +from genai_core.langchain import WorkspaceRetriever, DynamoDBChatMessageHistory +from genai_core.types import ChatbotMode + logger = Logger() @@ -19,7 +21,9 @@ class Mode(Enum): class ModelAdapter: - def __init__(self, session_id, user_id, mode="chain", model_kwargs={}): + def __init__( + self, session_id, user_id, mode=ChatbotMode.CHAIN.value, model_kwargs={} + ): self.session_id = session_id self.user_id = user_id self._mode = mode @@ -162,7 +166,7 @@ def run(self, prompt, workspace_id=None, *args, **kwargs): logger.debug(f"workspace_id {workspace_id}") logger.debug(f"mode: {self._mode}") - if self._mode == "chain": + if self._mode == ChatbotMode.CHAIN.value: return self.run_with_chain(prompt, workspace_id) raise ValueError(f"unknown mode {self._mode}") diff --git a/lib/model-interfaces/langchain/functions/request-handler/adapters/sagemaker/__init__.py b/lib/model-interfaces/langchain/functions/request-handler/adapters/sagemaker/__init__.py index fc9fb6c8c..5d3567058 100644 --- a/lib/model-interfaces/langchain/functions/request-handler/adapters/sagemaker/__init__.py +++ b/lib/model-interfaces/langchain/functions/request-handler/adapters/sagemaker/__init__.py @@ -1,2 +1,3 @@ from .meta import * from .amazon import * +from .mistralai import * diff --git a/lib/model-interfaces/langchain/functions/request-handler/adapters/sagemaker/mistralai/__init__.py b/lib/model-interfaces/langchain/functions/request-handler/adapters/sagemaker/mistralai/__init__.py new file mode 100644 index 000000000..28cc48ebd --- /dev/null +++ b/lib/model-interfaces/langchain/functions/request-handler/adapters/sagemaker/mistralai/__init__.py @@ -0,0 +1 @@ +from .mistral_instruct import * diff --git a/lib/model-interfaces/langchain/functions/request-handler/adapters/sagemaker/mistralai/mistral_instruct.py b/lib/model-interfaces/langchain/functions/request-handler/adapters/sagemaker/mistralai/mistral_instruct.py new file mode 100644 index 000000000..3c9b59585 --- /dev/null +++ b/lib/model-interfaces/langchain/functions/request-handler/adapters/sagemaker/mistralai/mistral_instruct.py @@ -0,0 +1,64 @@ +import json +import os + +from langchain.llms.sagemaker_endpoint import LLMContentHandler, SagemakerEndpoint +from langchain.prompts.prompt import PromptTemplate + +from ...base import ModelAdapter +from ...registry import registry + + +class MistralInstructContentHandler(LLMContentHandler): + content_type = "application/json" + accepts = "application/json" + + def transform_input(self, prompt, model_kwargs) -> bytes: + input_str = json.dumps( + { + "inputs": prompt, + "parameters": { + "do_sample": True, + "max_new_tokens": model_kwargs.get("max_new_tokens", 512), + "top_p": model_kwargs.get("top_p", 0.9), + "temperature": model_kwargs.get("temperature", 0.6), + "return_full_text": False, + "stop": ["###", ""], + }, + } + ) + return input_str.encode("utf-8") + + def transform_output(self, output: bytes): + response_json = json.loads(output.read().decode("utf-8")) + return response_json[0]["generated_text"] + + +content_handler = MistralInstructContentHandler() + + +class SMMistralInstructAdapter(ModelAdapter): + def __init__(self, model_id, **kwargs): + self.model_id = model_id + + super().__init__(**kwargs) + + def get_llm(self, model_kwargs={}): + params = {} + if "temperature" in model_kwargs: + params["temperature"] = model_kwargs["temperature"] + if "topP" in model_kwargs: + params["top_p"] = model_kwargs["topP"] + if "maxTokens" in model_kwargs: + params["max_new_tokens"] = model_kwargs["maxTokens"] + + return SagemakerEndpoint( + endpoint_name=self.model_id, + region_name=os.environ["AWS_REGION"], + content_handler=content_handler, + model_kwargs=params, + callbacks=[self.callback_handler], + ) + + +# Register the adapter +registry.register(r"(?i)sagemaker\.mistralai-Mistral*", SMMistralInstructAdapter) diff --git a/lib/model-interfaces/langchain/functions/request-handler/index.py b/lib/model-interfaces/langchain/functions/request-handler/index.py index 292602be2..efdd6a107 100644 --- a/lib/model-interfaces/langchain/functions/request-handler/index.py +++ b/lib/model-interfaces/langchain/functions/request-handler/index.py @@ -11,25 +11,19 @@ from aws_lambda_powertools.utilities.data_classes.sqs_event import SQSRecord from aws_lambda_powertools.utilities.typing import LambdaContext +from genai_core.utils.websocket import send_to_client +from genai_core.types import ChatbotAction + processor = BatchProcessor(event_type=EventType.SQS) tracer = Tracer() logger = Logger() AWS_REGION = os.environ["AWS_REGION"] -MESSAGES_TOPIC_ARN = os.environ["MESSAGES_TOPIC_ARN"] API_KEYS_SECRETS_ARN = os.environ["API_KEYS_SECRETS_ARN"] -sns = boto3.client("sns", region_name=AWS_REGION) sequence_number = 0 -def send_to_client(detail): - sns.publish( - TopicArn=MESSAGES_TOPIC_ARN, - Message=json.dumps(detail), - ) - - def on_llm_new_token( connection_id, user_id, session_id, self, token, run_id, *args, **kwargs ): @@ -40,8 +34,7 @@ def on_llm_new_token( send_to_client( { "type": "text", - "action": "llm_new_token", - "direction": "OUT", + "action": ChatbotAction.LLM_NEW_TOKEN.value, "connectionId": connection_id, "userId": user_id, "timestamp": str(int(round(datetime.now().timestamp()))), @@ -88,7 +81,6 @@ def handle_run(record): response = model.run( prompt=prompt, workspace_id=workspace_id, - tools=[], ) logger.info(response) @@ -96,8 +88,7 @@ def handle_run(record): send_to_client( { "type": "text", - "action": "final_response", - "direction": "OUT", + "action": ChatbotAction.FINAL_RESPONSE.value, "connectionId": connection_id, "timestamp": str(int(round(datetime.now().timestamp()))), "userId": user_id, @@ -113,7 +104,7 @@ def record_handler(record: SQSRecord): detail: dict = json.loads(message["Message"]) logger.info(detail) - if detail["action"] == "run": + if detail["action"] == ChatbotAction.RUN.value: handle_run(detail) diff --git a/lib/model-interfaces/langchain/index.ts b/lib/model-interfaces/langchain/index.ts index 4cdae8715..050259176 100644 --- a/lib/model-interfaces/langchain/index.ts +++ b/lib/model-interfaces/langchain/index.ts @@ -1,16 +1,17 @@ -import * as path from "path"; import * as cdk from "aws-cdk-lib"; +import * as dynamodb from "aws-cdk-lib/aws-dynamodb"; +import * as iam from "aws-cdk-lib/aws-iam"; +import * as lambda from "aws-cdk-lib/aws-lambda"; +import * as lambdaEventSources from "aws-cdk-lib/aws-lambda-event-sources"; +import * as logs from "aws-cdk-lib/aws-logs"; import { CfnEndpoint } from "aws-cdk-lib/aws-sagemaker"; +import * as sns from "aws-cdk-lib/aws-sns"; +import * as sqs from "aws-cdk-lib/aws-sqs"; import { Construct } from "constructs"; +import * as path from "path"; +import { RagEngines } from "../../rag-engines"; import { Shared } from "../../shared"; import { SystemConfig } from "../../shared/types"; -import { RagEngines } from "../../rag-engines"; -import * as sns from "aws-cdk-lib/aws-sns"; -import * as sqs from "aws-cdk-lib/aws-sqs"; -import * as lambdaEventSources from "aws-cdk-lib/aws-lambda-event-sources"; -import * as iam from "aws-cdk-lib/aws-iam"; -import * as lambda from "aws-cdk-lib/aws-lambda"; -import * as dynamodb from "aws-cdk-lib/aws-dynamodb"; interface LangChainInterfaceProps { readonly shared: Shared; @@ -39,9 +40,10 @@ export class LangChainInterface extends Construct { tracing: lambda.Tracing.ACTIVE, timeout: cdk.Duration.minutes(15), memorySize: 1024, + logRetention: logs.RetentionDays.ONE_WEEK, layers: [ props.shared.powerToolsLayer, - props.shared.commonLayer.layer, + props.shared.commonLayer, props.shared.pythonSDKLayer, ], environment: { @@ -160,7 +162,7 @@ export class LangChainInterface extends Construct { new iam.PolicyStatement({ actions: ["kendra:Retrieve", "kendra:Query"], resources: [ - `arn:aws:kendra:${item.region}:${cdk.Aws.ACCOUNT_ID}:index/${item.kendraId}`, + `arn:${cdk.Aws.PARTITION}:kendra:${item.region}:${cdk.Aws.ACCOUNT_ID}:index/${item.kendraId}`, ], }) ); @@ -191,8 +193,8 @@ export class LangChainInterface extends Construct { }) ); - const deadLetterQueue = new sqs.Queue(this, "GenericModelDLQ"); - const queue = new sqs.Queue(this, "GenericModelQueue", { + const deadLetterQueue = new sqs.Queue(this, "DLQ"); + const queue = new sqs.Queue(this, "Queue", { removalPolicy: cdk.RemovalPolicy.DESTROY, // https://docs.aws.amazon.com/lambda/latest/dg/with-sqs.html#events-sqs-queueconfig visibilityTimeout: cdk.Duration.minutes(15 * 6), diff --git a/lib/models/index.ts b/lib/models/index.ts new file mode 100644 index 000000000..3400db68e --- /dev/null +++ b/lib/models/index.ts @@ -0,0 +1,247 @@ +import * as cdk from "aws-cdk-lib"; +import * as ssm from "aws-cdk-lib/aws-ssm"; +import { Construct } from "constructs"; +import { + ContainerImages, + DeploymentType, + SageMakerModel, +} from "../sagemaker-model"; +import { Shared } from "../shared"; +import { + Modality, + ModelInterface, + SageMakerModelEndpoint, + SupportedSageMakerModels, + SystemConfig, +} from "../shared/types"; + +export interface ModelsProps { + readonly config: SystemConfig; + readonly shared: Shared; +} + +export class Models extends Construct { + public readonly models: SageMakerModelEndpoint[]; + public readonly modelsParameter: ssm.StringParameter; + + constructor(scope: Construct, id: string, props: ModelsProps) { + super(scope, id); + + const models: SageMakerModelEndpoint[] = []; + + if ( + props.config.llms?.sagemaker.includes(SupportedSageMakerModels.FalconLite) + ) { + const falconLite = new SageMakerModel(this, "FalconLite", { + vpc: props.shared.vpc, + region: cdk.Aws.REGION, + model: { + type: DeploymentType.Container, + modelId: "amazon/FalconLite", + container: ContainerImages.HF_PYTORCH_LLM_TGI_INFERENCE_0_9_3, + instanceType: "ml.g5.12xlarge", + // https://github.com/awslabs/extending-the-context-length-of-open-source-llms/blob/main/custom-tgi-ecr/deploy.ipynb + containerStartupHealthCheckTimeoutInSeconds: 600, + env: { + SM_NUM_GPUS: JSON.stringify(4), + MAX_INPUT_LENGTH: JSON.stringify(12000), + MAX_TOTAL_TOKENS: JSON.stringify(12001), + HF_MODEL_QUANTIZE: "gptq", + TRUST_REMOTE_CODE: JSON.stringify(true), + MAX_BATCH_PREFILL_TOKENS: JSON.stringify(12001), + MAX_BATCH_TOTAL_TOKENS: JSON.stringify(12001), + GPTQ_BITS: JSON.stringify(4), + GPTQ_GROUPSIZE: JSON.stringify(128), + DNTK_ALPHA_SCALER: JSON.stringify(0.25), + }, + }, + }); + + models.push({ + name: falconLite.endpoint.endpointName!, + endpoint: falconLite.endpoint, + responseStreamingSupported: false, + inputModalities: [Modality.Text], + outputModalities: [Modality.Text], + interface: ModelInterface.LangChain, + ragSupported: true, + }); + } + + if ( + props.config.llms?.sagemaker.includes( + SupportedSageMakerModels.Mistral7b_Instruct + ) + ) { + const mistral7bInstruct = new SageMakerModel(this, "Mistral7BInstruct", { + vpc: props.shared.vpc, + region: cdk.Aws.REGION, + model: { + type: DeploymentType.Container, + modelId: "mistralai/Mistral-7B-Instruct-v0.1", + container: ContainerImages.HF_PYTORCH_LLM_TGI_INFERENCE_1_1_0, + instanceType: "ml.g5.2xlarge", + containerStartupHealthCheckTimeoutInSeconds: 300, + env: { + SM_NUM_GPUS: JSON.stringify(1), + }, + }, + }); + + models.push({ + name: mistral7bInstruct.endpoint.endpointName!, + endpoint: mistral7bInstruct.endpoint, + responseStreamingSupported: false, + inputModalities: [Modality.Text], + outputModalities: [Modality.Text], + interface: ModelInterface.LangChain, + ragSupported: true, + }); + } + + // To get Jumpstart model ARNs do the following + // 1. Identify the modelId via https://sagemaker.readthedocs.io/en/stable/doc_utils/pretrainedmodels.html + // 2. Run the following code + // + // from sagemaker.jumpstart.model import JumpStartModel + // region = 'us-east-1' + // model_id = 'meta-textgeneration-llama-2-13b-f' + // model = JumpStartModel(model_id=model_id, region=region) + // print(model.model_package_arn) + if ( + props.config.llms?.sagemaker.includes( + SupportedSageMakerModels.Llama2_13b_Chat + ) + ) { + const llama2chat = new SageMakerModel(this, "LLamaV2_13B_Chat", { + vpc: props.shared.vpc, + region: cdk.Aws.REGION, + model: { + type: DeploymentType.ModelPackage, + modelId: "meta-LLama2-13b-chat", + instanceType: "ml.g5.12xlarge", + packages: (scope) => + new cdk.CfnMapping(scope, "Llama2ChatPackageMapping", { + lazy: true, + mapping: { + "ap-southeast-1": { + arn: `arn:${cdk.Aws.PARTITION}:sagemaker:ap-southeast-1:192199979996:model-package/llama2-13b-f-v4-55c7c39a0cf535e8bad0d342598c219b`, + }, + "ap-southeast-2": { + arn: `arn:${cdk.Aws.PARTITION}:sagemaker:ap-southeast-2:666831318237:model-package/llama2-13b-f-v4-55c7c39a0cf535e8bad0d342598c219b`, + }, + "eu-west-1": { + arn: `arn:${cdk.Aws.PARTITION}:sagemaker:eu-west-1:985815980388:model-package/llama2-13b-f-v4-55c7c39a0cf535e8bad0d342598c219b`, + }, + "us-east-1": { + arn: `arn:${cdk.Aws.PARTITION}:sagemaker:us-east-1:865070037744:model-package/llama2-13b-f-v4-55c7c39a0cf535e8bad0d342598c219b`, + }, + "us-east-2": { + arn: `arn:${cdk.Aws.PARTITION}:sagemaker:us-east-2:057799348421:model-package/llama2-13b-f-v4-55c7c39a0cf535e8bad0d342598c219b`, + }, + "us-west-2": { + arn: `arn:${cdk.Aws.PARTITION}:sagemaker:us-west-2:594846645681:model-package/llama2-13b-f-v4-55c7c39a0cf535e8bad0d342598c219b`, + }, + }, + }), + }, + }); + + models.push({ + name: "meta-LLama2-13b-chat", + endpoint: llama2chat.endpoint, + responseStreamingSupported: false, + inputModalities: [Modality.Text], + outputModalities: [Modality.Text], + interface: ModelInterface.LangChain, + ragSupported: true, + }); + } + + if ( + props.config.llms?.sagemaker.includes(SupportedSageMakerModels.Idefics_9b) + ) { + const idefics9b = new SageMakerModel(this, "IDEFICS9B", { + vpc: props.shared.vpc, + region: cdk.Aws.REGION, + model: { + type: DeploymentType.Container, + modelId: "HuggingFaceM4/idefics-9b-instruct", + container: ContainerImages.HF_PYTORCH_LLM_TGI_INFERENCE_1_1_0, + instanceType: "ml.g5.12xlarge", + containerStartupHealthCheckTimeoutInSeconds: 300, + env: { + SM_NUM_GPUS: JSON.stringify(4), + MAX_INPUT_LENGTH: JSON.stringify(1024), + MAX_TOTAL_TOKENS: JSON.stringify(2048), + MAX_BATCH_TOTAL_TOKENS: JSON.stringify(8192), + }, + }, + }); + + models.push({ + name: idefics9b.endpoint.endpointName!, + endpoint: idefics9b.endpoint, + responseStreamingSupported: false, + inputModalities: [Modality.Text, Modality.Image], + outputModalities: [Modality.Text], + interface: ModelInterface.Idefics, + ragSupported: false, + }); + } + + if ( + props.config.llms?.sagemaker.includes( + SupportedSageMakerModels.Idefics_80b + ) + ) { + const idefics80b = new SageMakerModel(this, "IDEFICS80B", { + vpc: props.shared.vpc, + region: cdk.Aws.REGION, + model: { + type: DeploymentType.Container, + modelId: "HuggingFaceM4/idefics-80b-instruct", + container: ContainerImages.HF_PYTORCH_LLM_TGI_INFERENCE_1_1_0, + instanceType: "ml.g5.48xlarge", + containerStartupHealthCheckTimeoutInSeconds: 600, + env: { + SM_NUM_GPUS: JSON.stringify(8), + MAX_INPUT_LENGTH: JSON.stringify(1024), + MAX_TOTAL_TOKENS: JSON.stringify(2048), + MAX_BATCH_TOTAL_TOKENS: JSON.stringify(8192), + // quantization required to work with ml.g5.48xlarge + // comment if deploying with ml.p4d or ml.p4e instances + HF_MODEL_QUANTIZE: "bitsandbytes", + }, + }, + }); + + models.push({ + name: idefics80b.endpoint.endpointName!, + endpoint: idefics80b.endpoint, + responseStreamingSupported: false, + inputModalities: [Modality.Text, Modality.Image], + outputModalities: [Modality.Text], + interface: ModelInterface.Idefics, + ragSupported: false, + }); + } + + const modelsParameter = new ssm.StringParameter(this, "ModelsParameter", { + stringValue: JSON.stringify( + models.map((model) => ({ + name: model.name, + endpoint: model.endpoint.endpointName, + responseStreamingSupported: model.responseStreamingSupported, + inputModalities: model.inputModalities, + outputModalities: model.outputModalities, + interface: model.interface, + ragSupported: model.ragSupported, + })) + ), + }); + + this.models = models; + this.modelsParameter = modelsParameter; + } +} diff --git a/lib/rag-engines/aurora-pgvector/create-aurora-workspace.ts b/lib/rag-engines/aurora-pgvector/create-aurora-workspace.ts index fff30a9a5..5f1f8dba5 100644 --- a/lib/rag-engines/aurora-pgvector/create-aurora-workspace.ts +++ b/lib/rag-engines/aurora-pgvector/create-aurora-workspace.ts @@ -36,7 +36,7 @@ export class CreateAuroraWorkspace extends Construct { handler: "index.lambda_handler", layers: [ props.shared.powerToolsLayer, - props.shared.commonLayer.layer, + props.shared.commonLayer, props.shared.pythonSDKLayer, ], timeout: cdk.Duration.minutes(5), diff --git a/lib/rag-engines/aurora-pgvector/index.ts b/lib/rag-engines/aurora-pgvector/index.ts index f28007d59..adda29576 100644 --- a/lib/rag-engines/aurora-pgvector/index.ts +++ b/lib/rag-engines/aurora-pgvector/index.ts @@ -48,7 +48,7 @@ export class AuroraPgVector extends Construct { handler: "index.lambda_handler", layers: [ props.shared.powerToolsLayer, - props.shared.commonLayer.layer, + props.shared.commonLayer, props.shared.pythonSDKLayer, ], timeout: cdk.Duration.minutes(5), diff --git a/lib/rag-engines/data-import/file-import-workflow.ts b/lib/rag-engines/data-import/file-import-workflow.ts index c56c3652c..40aa20e0b 100644 --- a/lib/rag-engines/data-import/file-import-workflow.ts +++ b/lib/rag-engines/data-import/file-import-workflow.ts @@ -64,7 +64,7 @@ export class FileImportWorkflow extends Construct { const fileImportJob = new sfn.CustomState(this, "FileImportJob", { stateJson: { Type: "Task", - Resource: "arn:aws:states:::batch:submitJob.sync", + Resource: `arn:${cdk.Aws.PARTITION}:states:::batch:submitJob.sync`, Parameters: { JobDefinition: props.fileImportBatchJob.fileImportJob.jobDefinitionArn, diff --git a/lib/rag-engines/data-import/index.ts b/lib/rag-engines/data-import/index.ts index ac0bb5a46..e32e3f08c 100644 --- a/lib/rag-engines/data-import/index.ts +++ b/lib/rag-engines/data-import/index.ts @@ -152,13 +152,11 @@ export class DataImport extends Construct { logRetention: logs.RetentionDays.ONE_WEEK, layers: [ props.shared.powerToolsLayer, - props.shared.commonLayer.layer, + props.shared.commonLayer, props.shared.pythonSDKLayer, ], vpc: props.shared.vpc, - vpcSubnets: props.shared.vpc.selectSubnets({ - subnetType: ec2.SubnetType.PRIVATE_WITH_EGRESS, - }), + vpcSubnets: props.shared.vpc.privateSubnets as ec2.SubnetSelection, environment: { ...props.shared.defaultEnvironmentVariables, CONFIG_PARAMETER_NAME: props.shared.configParameter.parameterName, diff --git a/lib/rag-engines/data-import/website-crawling-workflow.ts b/lib/rag-engines/data-import/website-crawling-workflow.ts index 16ddd4ef7..1140a5ee7 100644 --- a/lib/rag-engines/data-import/website-crawling-workflow.ts +++ b/lib/rag-engines/data-import/website-crawling-workflow.ts @@ -51,7 +51,7 @@ export class WebsiteCrawlingWorkflow extends Construct { handler: "index.lambda_handler", layers: [ props.shared.powerToolsLayer, - props.shared.commonLayer.layer, + props.shared.commonLayer, props.shared.pythonSDKLayer, ], timeout: cdk.Duration.minutes(15), diff --git a/lib/rag-engines/index.ts b/lib/rag-engines/index.ts index 9901e15c5..26ee2d201 100644 --- a/lib/rag-engines/index.ts +++ b/lib/rag-engines/index.ts @@ -1,17 +1,17 @@ +import * as dynamodb from "aws-cdk-lib/aws-dynamodb"; +import * as s3 from "aws-cdk-lib/aws-s3"; +import * as sagemaker from "aws-cdk-lib/aws-sagemaker"; +import * as sfn from "aws-cdk-lib/aws-stepfunctions"; import { Construct } from "constructs"; -import { SageMakerRagModels } from "./sagemaker-rag-models"; -import { SystemConfig } from "../shared/types"; import { Shared } from "../shared"; +import { SystemConfig } from "../shared/types"; import { AuroraPgVector } from "./aurora-pgvector"; import { DataImport } from "./data-import"; -import { RagDynamoDBTables } from "./rag-dynamodb-tables"; -import { OpenSearchVector } from "./opensearch-vector"; import { KendraRetrieval } from "./kendra-retrieval"; +import { OpenSearchVector } from "./opensearch-vector"; +import { RagDynamoDBTables } from "./rag-dynamodb-tables"; +import { SageMakerRagModels } from "./sagemaker-rag-models"; import { Workspaces } from "./workspaces"; -import * as sagemaker from "aws-cdk-lib/aws-sagemaker"; -import * as s3 from "aws-cdk-lib/aws-s3"; -import * as dynamodb from "aws-cdk-lib/aws-dynamodb"; -import * as sfn from "aws-cdk-lib/aws-stepfunctions"; export interface RagEnginesProps { readonly config: SystemConfig; diff --git a/lib/rag-engines/opensearch-vector/create-opensearch-workspace.ts b/lib/rag-engines/opensearch-vector/create-opensearch-workspace.ts index 6c03dfb81..92d1a92b0 100644 --- a/lib/rag-engines/opensearch-vector/create-opensearch-workspace.ts +++ b/lib/rag-engines/opensearch-vector/create-opensearch-workspace.ts @@ -1,15 +1,15 @@ -import * as path from "path"; import * as cdk from "aws-cdk-lib"; -import { Construct } from "constructs"; -import { SystemConfig } from "../../shared/types"; -import { Shared } from "../../shared"; -import { RagDynamoDBTables } from "../rag-dynamodb-tables"; -import * as sfn from "aws-cdk-lib/aws-stepfunctions"; -import * as tasks from "aws-cdk-lib/aws-stepfunctions-tasks"; +import * as iam from "aws-cdk-lib/aws-iam"; import * as lambda from "aws-cdk-lib/aws-lambda"; import * as logs from "aws-cdk-lib/aws-logs"; -import * as iam from "aws-cdk-lib/aws-iam"; import * as oss from "aws-cdk-lib/aws-opensearchserverless"; +import * as sfn from "aws-cdk-lib/aws-stepfunctions"; +import * as tasks from "aws-cdk-lib/aws-stepfunctions-tasks"; +import { Construct } from "constructs"; +import * as path from "path"; +import { Shared } from "../../shared"; +import { SystemConfig } from "../../shared/types"; +import { RagDynamoDBTables } from "../rag-dynamodb-tables"; export interface CreateOpenSearchWorkspaceProps { readonly config: SystemConfig; @@ -44,7 +44,7 @@ export class CreateOpenSearchWorkspace extends Construct { handler: "index.lambda_handler", layers: [ props.shared.powerToolsLayer, - props.shared.commonLayer.layer, + props.shared.commonLayer, props.shared.pythonSDKLayer, ], timeout: cdk.Duration.minutes(5), diff --git a/lib/rag-engines/opensearch-vector/index.ts b/lib/rag-engines/opensearch-vector/index.ts index 834960436..47f951342 100644 --- a/lib/rag-engines/opensearch-vector/index.ts +++ b/lib/rag-engines/opensearch-vector/index.ts @@ -1,12 +1,12 @@ +import * as ec2 from "aws-cdk-lib/aws-ec2"; +import * as oss from "aws-cdk-lib/aws-opensearchserverless"; +import * as sfn from "aws-cdk-lib/aws-stepfunctions"; import { Construct } from "constructs"; import { Shared } from "../../shared"; import { SystemConfig } from "../../shared/types"; +import { Utils } from "../../shared/utils"; import { RagDynamoDBTables } from "../rag-dynamodb-tables"; import { CreateOpenSearchWorkspace } from "./create-opensearch-workspace"; -import { Utils } from "../../shared/utils"; -import * as ec2 from "aws-cdk-lib/aws-ec2"; -import * as oss from "aws-cdk-lib/aws-opensearchserverless"; -import * as sfn from "aws-cdk-lib/aws-stepfunctions"; export interface OpenSearchVectorProps { readonly config: SystemConfig; @@ -44,9 +44,7 @@ export class OpenSearchVector extends Construct { const cfnVpcEndpoint = new oss.CfnVpcEndpoint(this, "VpcEndpoint", { name: Utils.getName(props.config, "genaichatbot-vpce"), - subnetIds: props.shared.vpc.selectSubnets({ - subnetType: ec2.SubnetType.PRIVATE_WITH_EGRESS, - }).subnetIds, + subnetIds: props.shared.vpc.privateSubnets.map((subnet) => subnet.subnetId), vpcId: props.shared.vpc.vpcId, securityGroupIds: [sg.securityGroupId], }); diff --git a/lib/rag-engines/rag-dynamodb-tables/index.ts b/lib/rag-engines/rag-dynamodb-tables/index.ts index 945124deb..48adf57ac 100644 --- a/lib/rag-engines/rag-dynamodb-tables/index.ts +++ b/lib/rag-engines/rag-dynamodb-tables/index.ts @@ -1,6 +1,6 @@ import * as cdk from "aws-cdk-lib"; -import { Construct } from "constructs"; import * as dynamodb from "aws-cdk-lib/aws-dynamodb"; +import { Construct } from "constructs"; export class RagDynamoDBTables extends Construct { public readonly workspacesTable: dynamodb.Table; diff --git a/lib/rag-engines/sagemaker-rag-models/index.ts b/lib/rag-engines/sagemaker-rag-models/index.ts index d2ca95f2a..b4a920ce8 100644 --- a/lib/rag-engines/sagemaker-rag-models/index.ts +++ b/lib/rag-engines/sagemaker-rag-models/index.ts @@ -1,9 +1,9 @@ -import * as path from "path"; import * as cdk from "aws-cdk-lib"; import { Construct } from "constructs"; -import { SystemConfig } from "../../shared/types"; -import { Shared } from "../../shared"; +import * as path from "path"; import { DeploymentType, SageMakerModel } from "../../sagemaker-model"; +import { Shared } from "../../shared"; +import { SystemConfig } from "../../shared/types"; export interface SageMakerRagModelsProps { readonly config: SystemConfig; diff --git a/lib/rag-engines/workspaces/delete-workspace.ts b/lib/rag-engines/workspaces/delete-workspace.ts index 26ac89984..c475f99e4 100644 --- a/lib/rag-engines/workspaces/delete-workspace.ts +++ b/lib/rag-engines/workspaces/delete-workspace.ts @@ -1,18 +1,18 @@ -import * as path from "path"; import * as cdk from "aws-cdk-lib"; +import * as iam from "aws-cdk-lib/aws-iam"; +import * as lambda from "aws-cdk-lib/aws-lambda"; +import * as logs from "aws-cdk-lib/aws-logs"; +import * as sfn from "aws-cdk-lib/aws-stepfunctions"; +import * as tasks from "aws-cdk-lib/aws-stepfunctions-tasks"; import { Construct } from "constructs"; -import { SystemConfig } from "../../shared/types"; +import * as path from "path"; import { Shared } from "../../shared"; -import { OpenSearchVector } from "../opensearch-vector"; -import { KendraRetrieval } from "../kendra-retrieval"; +import { SystemConfig } from "../../shared/types"; import { AuroraPgVector } from "../aurora-pgvector"; import { DataImport } from "../data-import"; +import { KendraRetrieval } from "../kendra-retrieval"; +import { OpenSearchVector } from "../opensearch-vector"; import { RagDynamoDBTables } from "../rag-dynamodb-tables"; -import * as sfn from "aws-cdk-lib/aws-stepfunctions"; -import * as tasks from "aws-cdk-lib/aws-stepfunctions-tasks"; -import * as lambda from "aws-cdk-lib/aws-lambda"; -import * as logs from "aws-cdk-lib/aws-logs"; -import * as iam from "aws-cdk-lib/aws-iam"; export interface DeleteWorkspaceProps { readonly config: SystemConfig; @@ -43,7 +43,7 @@ export class DeleteWorkspace extends Construct { handler: "index.lambda_handler", layers: [ props.shared.powerToolsLayer, - props.shared.commonLayer.layer, + props.shared.commonLayer, props.shared.pythonSDKLayer, ], timeout: cdk.Duration.minutes(15), diff --git a/lib/rag-engines/workspaces/index.ts b/lib/rag-engines/workspaces/index.ts index 601d48613..4605a8e9e 100644 --- a/lib/rag-engines/workspaces/index.ts +++ b/lib/rag-engines/workspaces/index.ts @@ -1,13 +1,13 @@ +import * as sfn from "aws-cdk-lib/aws-stepfunctions"; import { Construct } from "constructs"; -import { SystemConfig } from "../../shared/types"; import { Shared } from "../../shared"; -import { DeleteWorkspace } from "./delete-workspace"; +import { SystemConfig } from "../../shared/types"; import { AuroraPgVector } from "../aurora-pgvector"; -import { OpenSearchVector } from "../opensearch-vector"; -import { KendraRetrieval } from "../kendra-retrieval"; import { DataImport } from "../data-import"; +import { KendraRetrieval } from "../kendra-retrieval"; +import { OpenSearchVector } from "../opensearch-vector"; import { RagDynamoDBTables } from "../rag-dynamodb-tables"; -import * as sfn from "aws-cdk-lib/aws-stepfunctions"; +import { DeleteWorkspace } from "./delete-workspace"; export interface WorkkspacesProps { readonly config: SystemConfig; diff --git a/lib/sagemaker-model/container-images.ts b/lib/sagemaker-model/container-images.ts index dd94c7519..950629bb9 100644 --- a/lib/sagemaker-model/container-images.ts +++ b/lib/sagemaker-model/container-images.ts @@ -22,8 +22,10 @@ export class ContainerImages { "huggingface-pytorch-tgi-inference:2.0.1-tgi0.9.3-gpu-py39-cu118-ubuntu20.04"; static readonly HF_PYTORCH_LLM_TGI_INFERENCE_1_0_3 = "huggingface-pytorch-tgi-inference:2.0.1-tgi1.0.3-gpu-py39-cu118-ubuntu20.04"; + static readonly HF_PYTORCH_LLM_TGI_INFERENCE_1_1_0 = + "huggingface-pytorch-tgi-inference:2.0.1-tgi1.1.0-gpu-py39-cu118-ubuntu20.04"; static readonly HF_PYTORCH_LLM_TGI_INFERENCE_LATEST = - ContainerImages.HF_PYTORCH_LLM_TGI_INFERENCE_1_0_3; + ContainerImages.HF_PYTORCH_LLM_TGI_INFERENCE_1_1_0; /* DJL_INFERENCE_DEEPSPEED https://github.com/aws/sagemaker-python-sdk/blob/master/src/sagemaker/image_uri_config/djl-deepspeed.json diff --git a/lib/sagemaker-model/deploy-container-model.ts b/lib/sagemaker-model/deploy-container-model.ts index 172aa50a6..61113d98c 100644 --- a/lib/sagemaker-model/deploy-container-model.ts +++ b/lib/sagemaker-model/deploy-container-model.ts @@ -1,3 +1,4 @@ +import * as ec2 from "aws-cdk-lib/aws-ec2"; import * as iam from "aws-cdk-lib/aws-iam"; import * as sagemaker from "aws-cdk-lib/aws-sagemaker"; import { Construct } from "constructs"; @@ -52,6 +53,10 @@ export function deployContainerModel( const model = new sagemaker.CfnModel(scope, "Model", { executionRoleArn: executionRole.roleArn, ...modelProps, + vpcConfig: { + securityGroupIds: [props.vpc.vpcDefaultSecurityGroup], + subnets: props.vpc.privateSubnets.map((subnet) => subnet.subnetId), + }, }); const endpointConfig = new sagemaker.CfnEndpointConfig( @@ -75,7 +80,7 @@ export function deployContainerModel( const endpoint = new sagemaker.CfnEndpoint(scope, modelId, { endpointConfigName: endpointConfig.getAtt("EndpointConfigName").toString(), - endpointName: modelId.split("/").join("-"), + endpointName: modelId.split("/").join("-").split(".").join("-"), }); endpoint.addDependency(endpointConfig); diff --git a/lib/sagemaker-model/deploy-package-model.ts b/lib/sagemaker-model/deploy-package-model.ts index f0f23cc60..e73413aa1 100644 --- a/lib/sagemaker-model/deploy-package-model.ts +++ b/lib/sagemaker-model/deploy-package-model.ts @@ -55,7 +55,7 @@ export function deployPackageModel( const endpoint = new sagemaker.CfnEndpoint(scope, modelId, { endpointConfigName: endpointConfig.getAtt("EndpointConfigName").toString(), - endpointName: modelId, + endpointName: modelId.split("/").join("-").split(".").join("-"), }); endpoint.addDependency(endpointConfig); diff --git a/lib/sagemaker-model/hf-custom-script-model/index.ts b/lib/sagemaker-model/hf-custom-script-model/index.ts index 7dd8871e8..af2a7e723 100644 --- a/lib/sagemaker-model/hf-custom-script-model/index.ts +++ b/lib/sagemaker-model/hf-custom-script-model/index.ts @@ -14,7 +14,7 @@ import { ContainerImages } from "../container-images"; import { ImageRepositoryMapping } from "../image-repository-mapping"; export interface HuggingFaceCustomScriptModelProps { - vpc: ec2.IVpc; + vpc: ec2.Vpc; region: string; instanceType: string; modelId: string | string[]; diff --git a/lib/sagemaker-model/index.ts b/lib/sagemaker-model/index.ts index fd242c9e3..9cdeed5e8 100644 --- a/lib/sagemaker-model/index.ts +++ b/lib/sagemaker-model/index.ts @@ -5,7 +5,7 @@ import { Construct } from "constructs"; import { deployContainerModel } from "./deploy-container-model"; import { deployCustomScriptModel } from "./deploy-custom-script-model"; import { deployPackageModel } from "./deploy-package-model"; -import { SageMakerModelProps, DeploymentType } from "./types"; +import { DeploymentType, SageMakerModelProps } from "./types"; export class SageMakerModel extends Construct { public readonly endpoint: sagemaker.CfnEndpoint; diff --git a/lib/sagemaker-model/types.ts b/lib/sagemaker-model/types.ts index ffbf56425..4fbb619e3 100644 --- a/lib/sagemaker-model/types.ts +++ b/lib/sagemaker-model/types.ts @@ -4,7 +4,7 @@ import * as lambda from "aws-cdk-lib/aws-lambda"; import { Construct } from "constructs"; export interface SageMakerModelProps extends cdk.NestedStackProps { - vpc: ec2.IVpc; + vpc: ec2.Vpc; region: string; model: ModelConfig; } diff --git a/lib/shared/index.ts b/lib/shared/index.ts index 8aeaefb74..52ca81377 100644 --- a/lib/shared/index.ts +++ b/lib/shared/index.ts @@ -1,12 +1,12 @@ -import * as path from "path"; import * as cdk from "aws-cdk-lib"; -import { Construct } from "constructs"; -import { Layer } from "../layer"; -import { SystemConfig } from "./types"; import * as ec2 from "aws-cdk-lib/aws-ec2"; import * as lambda from "aws-cdk-lib/aws-lambda"; import * as secretsmanager from "aws-cdk-lib/aws-secretsmanager"; import * as ssm from "aws-cdk-lib/aws-ssm"; +import { Construct } from "constructs"; +import * as path from "path"; +import { Layer } from "../layer"; +import { SystemConfig } from "./types"; const pythonRuntime = lambda.Runtime.PYTHON_3_11; const lambdaArchitecture = lambda.Architecture.X86_64; @@ -17,20 +17,22 @@ export interface SharedProps { } export class Shared extends Construct { - readonly vpc: ec2.IVpc; + readonly vpc: ec2.Vpc; readonly defaultEnvironmentVariables: Record; readonly configParameter: ssm.StringParameter; readonly pythonRuntime: lambda.Runtime = pythonRuntime; readonly lambdaArchitecture: lambda.Architecture = lambdaArchitecture; readonly xOriginVerifySecret: secretsmanager.Secret; readonly apiKeysSecret: secretsmanager.Secret; - readonly commonLayer: Layer; + readonly commonLayer: lambda.ILayerVersion; readonly powerToolsLayer: lambda.ILayerVersion; readonly pythonSDKLayer: lambda.ILayerVersion; constructor(scope: Construct, id: string, props: SharedProps) { super(scope, id); + const powerToolsLayerVersion = "46"; + this.defaultEnvironmentVariables = { POWERTOOLS_DEV: "true", LOG_LEVEL: "INFO", @@ -38,10 +40,11 @@ export class Shared extends Construct { POWERTOOLS_SERVICE_NAME: "chatbot", }; - let vpc: ec2.IVpc; + let vpc: ec2.Vpc; if (!props.config.vpc?.vpcId) { vpc = new ec2.Vpc(this, "VPC", { natGateways: 1, + restrictDefaultSecurityGroup: false, subnetConfiguration: [ { name: "public", @@ -60,7 +63,7 @@ export class Shared extends Construct { } else { vpc = ec2.Vpc.fromLookup(this, "VPC", { vpcId: props.config.vpc.vpcId, - }); + }) as ec2.Vpc; } if ( @@ -70,10 +73,12 @@ export class Shared extends Construct { // Create a VPC endpoint for S3. const s3GatewayEndpoint = vpc.addGatewayEndpoint("S3GatewayEndpoint", { service: ec2.GatewayVpcEndpointAwsService.S3, + }); const s3vpcEndpoint = vpc.addInterfaceEndpoint("S3InterfaceEndpoint", { service: ec2.InterfaceVpcEndpointAwsService.S3, + privateDnsEnabled: true, open: true, }); @@ -95,6 +100,7 @@ export class Shared extends Construct { service: ec2.InterfaceVpcEndpointAwsService.SAGEMAKER_RUNTIME, open: true, }); + } const configParameter = new ssm.StringParameter(this, "Config", { @@ -103,8 +109,8 @@ export class Shared extends Construct { const powerToolsArn = lambdaArchitecture === lambda.Architecture.X86_64 - ? `arn:aws:lambda:${cdk.Aws.REGION}:017000801446:layer:AWSLambdaPowertoolsPythonV2:42` - : `arn:aws:lambda:${cdk.Aws.REGION}:017000801446:layer:AWSLambdaPowertoolsPythonV2-Arm64:42`; + ? `arn:${cdk.Aws.PARTITION}:lambda:${cdk.Aws.REGION}:017000801446:layer:AWSLambdaPowertoolsPythonV2:${powerToolsLayerVersion}` + : `arn:${cdk.Aws.PARTITION}:lambda:${cdk.Aws.REGION}:017000801446:layer:AWSLambdaPowertoolsPythonV2-Arm64:${powerToolsLayerVersion}`; const powerToolsLayer = lambda.LayerVersion.fromLayerVersionArn( this, @@ -145,11 +151,11 @@ export class Shared extends Construct { this.vpc = vpc; this.configParameter = configParameter; - this.commonLayer = commonLayer; this.xOriginVerifySecret = xOriginVerifySecret; this.apiKeysSecret = apiKeysSecret; - this.pythonSDKLayer = pythonSDKLayer; this.powerToolsLayer = powerToolsLayer; + this.commonLayer = commonLayer.layer; + this.pythonSDKLayer = pythonSDKLayer; new cdk.CfnOutput(this, "ApiKeysSecretName", { value: apiKeysSecret.secretName, diff --git a/lib/shared/layers/common/requirements.txt b/lib/shared/layers/common/requirements.txt index 3ca0458c3..7fc8798ae 100644 --- a/lib/shared/layers/common/requirements.txt +++ b/lib/shared/layers/common/requirements.txt @@ -1,16 +1,16 @@ -aws_xray_sdk==2.12.0 -boto3==1.28.57 +aws_xray_sdk==2.12.1 +boto3==1.28.68 numpy==1.26.0 cfnresponse==1.1.2 aws_requests_auth==0.4.3 requests-aws4auth==1.2.3 -langchain==0.0.308 +langchain==0.0.320 opensearch-py==2.3.1 psycopg2-binary==2.9.7 pgvector==0.2.2 pydantic==2.3.0 urllib3<2 -openai==0.28.0 +openai==0.28.1 beautifulsoup4==4.12.2 requests==2.31.0 attrs==23.1.0 \ No newline at end of file diff --git a/lib/shared/layers/python-sdk/python/genai_core/aurora/query.py b/lib/shared/layers/python-sdk/python/genai_core/aurora/query.py index 24c119f11..db5a527d3 100644 --- a/lib/shared/layers/python-sdk/python/genai_core/aurora/query.py +++ b/lib/shared/layers/python-sdk/python/genai_core/aurora/query.py @@ -112,8 +112,7 @@ def query_workspace_aurora( raise Exception("Unknown metric") vector_search_records = cursor.fetchall() - vector_search_records = _convert_records( - "vector_search", vector_search_records) + vector_search_records = _convert_records("vector_search", vector_search_records) items.extend(vector_search_records) if hybrid_search: diff --git a/lib/shared/layers/python-sdk/python/genai_core/kendra/data_sync.py b/lib/shared/layers/python-sdk/python/genai_core/kendra/data_sync.py index 0491d93aa..26dbdbbdd 100644 --- a/lib/shared/layers/python-sdk/python/genai_core/kendra/data_sync.py +++ b/lib/shared/layers/python-sdk/python/genai_core/kendra/data_sync.py @@ -3,16 +3,14 @@ import genai_core.workspaces from .client import get_kendra_client_for_index -DEFAULT_KENDRA_S3_DATA_SOURCE_ID = os.environ.get( - "DEFAULT_KENDRA_S3_DATA_SOURCE_ID") +DEFAULT_KENDRA_S3_DATA_SOURCE_ID = os.environ.get("DEFAULT_KENDRA_S3_DATA_SOURCE_ID") def start_kendra_data_sync(workspace_id: str): workspace = genai_core.workspaces.get_workspace(workspace_id=workspace_id) if not workspace: - raise genai_core.types.CommonError( - f"Workspace {workspace_id} not found") + raise genai_core.types.CommonError(f"Workspace {workspace_id} not found") if workspace["engine"] != "kendra": raise genai_core.types.CommonError( @@ -38,8 +36,7 @@ def kendra_is_syncing(workspace_id: str): workspace = genai_core.workspaces.get_workspace(workspace_id=workspace_id) if not workspace: - raise genai_core.types.CommonError( - f"Workspace {workspace_id} not found") + raise genai_core.types.CommonError(f"Workspace {workspace_id} not found") if workspace["engine"] != "kendra": raise genai_core.types.CommonError( diff --git a/lib/shared/layers/python-sdk/python/genai_core/llms.py b/lib/shared/layers/python-sdk/python/genai_core/models.py similarity index 54% rename from lib/shared/layers/python-sdk/python/genai_core/llms.py rename to lib/shared/layers/python-sdk/python/genai_core/models.py index 2e367db83..c832da034 100644 --- a/lib/shared/layers/python-sdk/python/genai_core/llms.py +++ b/lib/shared/layers/python-sdk/python/genai_core/models.py @@ -2,6 +2,8 @@ import genai_core.clients import genai_core.parameters +from genai_core.types import Modality, Provider, ModelInterface + def list_models(): models = [] @@ -34,10 +36,13 @@ def list_openai_models(): return [ { - "provider": "openai", + "provider": Provider.OPENAI.value, "name": model["id"], "streaming": True, - "type": "text-generation", + "inputModalities": [Modality.TEXT.value], + "outputModalities": [Modality.TEXT.value], + "interface": ModelInterface.LANGCHIAN.value, + "ragSupported": True, } for model in models.data if model["id"].startswith("gpt") @@ -55,18 +60,18 @@ def list_bedrock_models(): models = [ { - "provider": "bedrock", + "provider": Provider.BEDROCK.value, "name": model["modelId"], - "streaming": model["modelId"].startswith("amazon") - or model["modelId"].startswith("anthropic"), - "type": "text-generation", + "streaming": model.get("responseStreamingSupported", False), + "inputModalities": model["inputModalities"], + "outputModalities": model["outputModalities"], + "interface": ModelInterface.LANGCHIAN.value, + "ragSupported": True, } for model in bedrock_models - # Exclude text-to-image models and Titan-Embeddings models - if not ( - model["modelId"].startswith("stability") - or "titan-e" in model["modelId"] - ) + # Exclude embeddings and stable diffusion models + if Modality.EMBEDDING.value not in model["outputModalities"] + and Modality.IMAGE.value not in model["outputModalities"] ] return models @@ -86,12 +91,18 @@ def list_bedrock_finetuned_models(): models = [ { - "provider": "bedrock", + "provider": Provider.BEDROCK.value, "name": f"{model['modelName']} (base model: {model['baseModelName']})", - "streaming": False, - "type": "text-generation", + "streaming": model.get("responseStreamingSupported", False), + "inputModalities": model["inputModalities"], + "outputModalities": model["outputModalities"], + "interface": ModelInterface.LANGCHIAN.value, + "ragSupported": True, } for model in bedrock_custom_models + # Exclude embeddings and stable diffusion models + if Modality.EMBEDDING.value not in model["outputModalities"] + and Modality.IMAGE.value not in model["outputModalities"] ] return models @@ -101,13 +112,17 @@ def list_bedrock_finetuned_models(): def list_sagemaker_models(): - models = genai_core.parameters.get_sagemaker_llms() + models = genai_core.parameters.get_sagemaker_models() return [ { - "provider": "sagemaker", + "provider": Provider.SAGEMAKER.value, "name": model["name"], - "streaming": False, + "streaming": model.get("responseStreamingSupported", False), + "inputModalities": model["inputModalities"], + "outputModalities": model["outputModalities"], + "interface": model["interface"], + "ragSupported": model["ragSupported"], } for model in models ] diff --git a/lib/shared/layers/python-sdk/python/genai_core/opensearch/query.py b/lib/shared/layers/python-sdk/python/genai_core/opensearch/query.py index 0fc9fe00b..adb88dfa9 100644 --- a/lib/shared/layers/python-sdk/python/genai_core/opensearch/query.py +++ b/lib/shared/layers/python-sdk/python/genai_core/opensearch/query.py @@ -45,8 +45,7 @@ def query_workspace_open_search( vector_search_records = vector_query( client, index_name, query_embeddings, vector_search_limit ) - vector_search_records = _convert_records( - "vector_search", vector_search_records) + vector_search_records = _convert_records("vector_search", vector_search_records) items.extend(vector_search_records) if hybrid_search: diff --git a/lib/shared/layers/python-sdk/python/genai_core/parameters.py b/lib/shared/layers/python-sdk/python/genai_core/parameters.py index b113f9dbc..b7eb65a4c 100644 --- a/lib/shared/layers/python-sdk/python/genai_core/parameters.py +++ b/lib/shared/layers/python-sdk/python/genai_core/parameters.py @@ -4,9 +4,7 @@ X_ORIGIN_VERIFY_SECRET_ARN = os.environ.get("X_ORIGIN_VERIFY_SECRET_ARN") API_KEYS_SECRETS_ARN = os.environ.get("API_KEYS_SECRETS_ARN") CONFIG_PARAMETER_NAME = os.environ.get("CONFIG_PARAMETER_NAME") -LARGE_LANGUAGE_MODELS_PARAMETER_NAME = os.environ.get( - "LARGE_LANGUAGE_MODELS_PARAMETER_NAME" -) +MODELS_PARAMETER_NAME = os.environ.get("MODELS_PARAMETER_NAME") def get_external_api_key(name: str): @@ -32,7 +30,5 @@ def get_config(): return config -def get_sagemaker_llms(): - return parameters.get_parameter( - LARGE_LANGUAGE_MODELS_PARAMETER_NAME, transform="json", max_age=60 - ) +def get_sagemaker_models(): + return parameters.get_parameter(MODELS_PARAMETER_NAME, transform="json", max_age=30) diff --git a/lib/shared/layers/python-sdk/python/genai_core/types.py b/lib/shared/layers/python-sdk/python/genai_core/types.py index 2f9e6f938..546e0dde3 100644 --- a/lib/shared/layers/python-sdk/python/genai_core/types.py +++ b/lib/shared/layers/python-sdk/python/genai_core/types.py @@ -1,6 +1,8 @@ -from pydantic import BaseModel +from enum import Enum from typing import Optional +from pydantic import BaseModel + class CommonError(Exception): pass @@ -23,3 +25,40 @@ class Workspace(BaseModel): id: str name: str engine: str + + +class Provider(Enum): + BEDROCK = "bedrock" + OPENAI = "openai" + SAGEMAKER = "sagemaker" + + +class Modality(Enum): + TEXT = "TEXT" + IMAGE = "IMAGE" + EMBEDDING = "EMBEDDING" + + +class ModelInterface(Enum): + LANGCHIAN = "langchain" + IDEFICS = "idefics" + + +class Direction(Enum): + IN = "IN" + OUT = "OUT" + + +class ChatbotMode(Enum): + CHAIN = "chain" + + +class ChatbotAction(Enum): + RUN = "run" + LLM_NEW_TOKEN = "llm_new_token" + FINAL_RESPONSE = "final_response" + + +class ChatbotMessageType(Enum): + Human = "human" + AI = "ai" diff --git a/lib/shared/layers/python-sdk/python/genai_core/utils/websocket.py b/lib/shared/layers/python-sdk/python/genai_core/utils/websocket.py new file mode 100644 index 000000000..ab636b900 --- /dev/null +++ b/lib/shared/layers/python-sdk/python/genai_core/utils/websocket.py @@ -0,0 +1,20 @@ +import json +import os + +import boto3 +from ..types import Direction + +sns = boto3.client("sns") + + +def send_to_client(detail, topic_arn=None): + if not "direction" in detail: + detail["direction"] = Direction.OUT.value + + if not topic_arn: + topic_arn = os.environ["MESSAGES_TOPIC_ARN"] + + sns.publish( + TopicArn=topic_arn, + Message=json.dumps(detail), + ) diff --git a/lib/shared/layers/python-sdk/python/genai_core/workspaces.py b/lib/shared/layers/python-sdk/python/genai_core/workspaces.py index 12e12a5be..272b25fab 100644 --- a/lib/shared/layers/python-sdk/python/genai_core/workspaces.py +++ b/lib/shared/layers/python-sdk/python/genai_core/workspaces.py @@ -8,10 +8,10 @@ dynamodb = boto3.resource("dynamodb") sfn_client = boto3.client("stepfunctions") -WORKSPACES_TABLE_NAME = os.environ["WORKSPACES_TABLE_NAME"] -WORKSPACES_BY_OBJECT_TYPE_INDEX_NAME = os.environ[ +WORKSPACES_TABLE_NAME = os.environ.get("WORKSPACES_TABLE_NAME") +WORKSPACES_BY_OBJECT_TYPE_INDEX_NAME = os.environ.get( "WORKSPACES_BY_OBJECT_TYPE_INDEX_NAME" -] +) CREATE_AURORA_WORKSPACE_WORKFLOW_ARN = os.environ.get( "CREATE_AURORA_WORKSPACE_WORKFLOW_ARN" ) @@ -25,7 +25,8 @@ WORKSPACE_OBJECT_TYPE = "workspace" -table = dynamodb.Table(WORKSPACES_TABLE_NAME) +if WORKSPACES_TABLE_NAME: + table = dynamodb.Table(WORKSPACES_TABLE_NAME) def list_workspaces(): diff --git a/lib/shared/types.ts b/lib/shared/types.ts index 4cf6a751a..7645a89ab 100644 --- a/lib/shared/types.ts +++ b/lib/shared/types.ts @@ -2,10 +2,12 @@ import * as sagemaker from "aws-cdk-lib/aws-sagemaker"; export type ModelProvider = "sagemaker" | "bedrock" | "openai"; -export enum SupportedSageMakerLLM { +export enum SupportedSageMakerModels { FalconLite = "FalconLite", Llama2_13b_Chat = "Llama2_13b_Chat", - Llama2_13b_Base = "Llama2_13b_Base", + Mistral7b_Instruct = "Mistral7b_Instruct", + Idefics_9b = "Idefics_9b (Multimodal)", + Idefics_80b = "Idefics_80b (Multimodal)", } export enum SupportedRegion { @@ -39,6 +41,22 @@ export enum SupportedRegion { US_WEST_2 = "us-west-2", } +export enum ModelInterface { + LangChain = "langchain", + Idefics = "idefics", +} + +export enum Modality { + Text = "TEXT", + Image = "IMAGE", + Embedding = "EMBEDDING", +} + +export enum Direction { + In = "IN", + Out = "OUT", +} + export interface SystemConfig { prefix: string; vpc?: { @@ -52,7 +70,7 @@ export interface SystemConfig { roleArn?: string; }; llms: { - sagemaker: SupportedSageMakerLLM[]; + sagemaker: SupportedSageMakerModels[]; }; rag: { enabled: boolean; @@ -92,3 +110,13 @@ export interface SageMakerLLMEndpoint { name: string; endpoint: sagemaker.CfnEndpoint; } + +export interface SageMakerModelEndpoint { + name: string; + endpoint: sagemaker.CfnEndpoint; + responseStreamingSupported: boolean; + inputModalities: Modality[]; + outputModalities: Modality[]; + interface: ModelInterface; + ragSupported: boolean; +} diff --git a/lib/user-interface/index.ts b/lib/user-interface/index.ts index f6ebdb612..41deb794f 100644 --- a/lib/user-interface/index.ts +++ b/lib/user-interface/index.ts @@ -1,26 +1,30 @@ +import * as apigwv2 from "@aws-cdk/aws-apigatewayv2-alpha"; +import * as cognitoIdentityPool from "@aws-cdk/aws-cognito-identitypool-alpha"; +import * as cdk from "aws-cdk-lib"; +import * as apigateway from "aws-cdk-lib/aws-apigateway"; +import * as cf from "aws-cdk-lib/aws-cloudfront"; +import * as iam from "aws-cdk-lib/aws-iam"; +import * as s3 from "aws-cdk-lib/aws-s3"; +import * as s3deploy from "aws-cdk-lib/aws-s3-deployment"; +import { Construct } from "constructs"; import { ExecSyncOptionsWithBufferEncoding, execSync, } from "node:child_process"; -import { Construct } from "constructs"; -import { Utils } from "../shared/utils"; +import * as path from "node:path"; import { Shared } from "../shared"; import { SystemConfig } from "../shared/types"; -import * as path from "node:path"; -import * as cdk from "aws-cdk-lib"; -import * as cf from "aws-cdk-lib/aws-cloudfront"; -import * as s3 from "aws-cdk-lib/aws-s3"; -import * as s3deploy from "aws-cdk-lib/aws-s3-deployment"; -import * as apigateway from "aws-cdk-lib/aws-apigateway"; -import * as apigwv2 from "@aws-cdk/aws-apigatewayv2-alpha"; +import { Utils } from "../shared/utils"; export interface UserInterfaceProps { readonly config: SystemConfig; readonly shared: Shared; readonly userPoolId: string; readonly userPoolClientId: string; + readonly identityPool: cognitoIdentityPool.IdentityPool; readonly restApi: apigateway.RestApi; readonly webSocketApi: apigwv2.WebSocketApi; + readonly chatbotFilesBucket: s3.Bucket; } export class UserInterface extends Construct { @@ -40,6 +44,7 @@ export class UserInterface extends Construct { const originAccessIdentity = new cf.OriginAccessIdentity(this, "S3OAI"); websiteBucket.grantRead(originAccessIdentity); + props.chatbotFilesBucket.grantRead(originAccessIdentity); const distribution = new cf.CloudFrontWebDistribution( this, @@ -113,6 +118,32 @@ export class UserInterface extends Construct { }, }, }, + { + behaviors: [ + { + pathPattern: "/chabot/files/*", + allowedMethods: cf.CloudFrontAllowedMethods.ALL, + viewerProtocolPolicy: cf.ViewerProtocolPolicy.REDIRECT_TO_HTTPS, + defaultTtl: cdk.Duration.seconds(0), + forwardedValues: { + queryString: true, + headers: [ + "Referer", + "Origin", + "Authorization", + "Content-Type", + "x-forwarded-user", + "Access-Control-Request-Headers", + "Access-Control-Request-Method", + ], + }, + }, + ], + s3OriginSource: { + s3BucketSource: props.chatbotFilesBucket, + originAccessIdentity, + }, + }, ], errorConfigurations: [ { @@ -130,6 +161,13 @@ export class UserInterface extends Construct { aws_cognito_region: cdk.Aws.REGION, aws_user_pools_id: props.userPoolId, aws_user_pools_web_client_id: props.userPoolClientId, + aws_cognito_identity_pool_id: props.identityPool.identityPoolId, + Storage: { + AWSS3: { + bucket: props.chatbotFilesBucket.bucketName, + region: cdk.Aws.REGION, + }, + }, config: { api_endpoint: `https://${distribution.distributionDomainName}/api`, websocket_endpoint: `wss://${distribution.distributionDomainName}/socket`, @@ -141,6 +179,59 @@ export class UserInterface extends Construct { }, }); + // Allow authenticated web users to read upload data to the attachments bucket for their chat files + // ref: https://docs.amplify.aws/lib/storage/getting-started/q/platform/js/#using-amazon-s3 + props.identityPool.authenticatedRole.addToPrincipalPolicy( + new iam.PolicyStatement({ + effect: iam.Effect.ALLOW, + actions: ["s3:GetObject", "s3:PutObject", "s3:DeleteObject"], + resources: [ + `${props.chatbotFilesBucket.bucketArn}/public/*`, + `${props.chatbotFilesBucket.bucketArn}/protected/\${cognito-identity.amazonaws.com:sub}/*`, + `${props.chatbotFilesBucket.bucketArn}/private/\${cognito-identity.amazonaws.com:sub}/*`, + ], + }) + ); + props.identityPool.authenticatedRole.addToPrincipalPolicy( + new iam.PolicyStatement({ + effect: iam.Effect.ALLOW, + actions: ["s3:ListBucket"], + resources: [`${props.chatbotFilesBucket.bucketArn}`], + conditions: { + StringLike: { + "s3:prefix": [ + "public/", + "public/*", + "protected/", + "protected/*", + "private/${cognito-identity.amazonaws.com:sub}/", + "private/${cognito-identity.amazonaws.com:sub}/*", + ], + }, + }, + }) + ); + + // Enable CORS for the attachments bucket to allow uploads from the user interface + // ref: https://docs.amplify.aws/lib/storage/getting-started/q/platform/js/#amazon-s3-bucket-cors-policy-setup + props.chatbotFilesBucket.addCorsRule({ + allowedMethods: [ + s3.HttpMethods.GET, + s3.HttpMethods.PUT, + s3.HttpMethods.POST, + s3.HttpMethods.DELETE, + ], + allowedOrigins: ["*"], + allowedHeaders: ["*"], + exposedHeaders: [ + "x-amz-server-side-encryption", + "x-amz-request-id", + "x-amz-id-2", + "ETag", + ], + maxAge: 3000, + }); + const asset = s3deploy.Source.asset(appPath, { bundling: { image: cdk.DockerImage.fromRegistry( diff --git a/lib/user-interface/react-app/package-lock.json b/lib/user-interface/react-app/package-lock.json index 543a17b09..340fe759a 100644 --- a/lib/user-interface/react-app/package-lock.json +++ b/lib/user-interface/react-app/package-lock.json @@ -1,19 +1,19 @@ { "name": "aws-genai-llm-chatbot", "version": "3.0.0", - "lockfileVersion": 3, + "lockfileVersion": 2, "requires": true, "packages": { "": { "name": "aws-genai-llm-chatbot", "version": "3.0.0", "dependencies": { - "@aws-amplify/ui-react": "^5.3.0", - "@cloudscape-design/components": "^3.0.371", - "@cloudscape-design/design-tokens": "^3.0.26", - "@cloudscape-design/global-styles": "^1.0.12", - "aws-amplify": "^5.3.10", - "luxon": "^3.4.2", + "@aws-amplify/ui-react": "^5.3.1", + "@cloudscape-design/components": "^3.0.405", + "@cloudscape-design/design-tokens": "^3.0.28", + "@cloudscape-design/global-styles": "^1.0.13", + "aws-amplify": "^5.3.11", + "luxon": "^3.4.3", "react": "^18.2.0", "react-dom": "^18.2.0", "react-json-view-lite": "^0.9.8", @@ -21,7 +21,7 @@ "react-router-dom": "^6.15.0", "react-speech-recognition": "^3.10.0", "react-textarea-autosize": "^8.5.3", - "react-use-websocket": "^4.3.1", + "react-use-websocket": "^4.5.0", "regenerator-runtime": "^0.14.0", "uuid": "^9.0.0" }, @@ -67,12 +67,12 @@ } }, "node_modules/@aws-amplify/analytics": { - "version": "6.5.4", - "resolved": 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a/lib/user-interface/react-app/package.json b/lib/user-interface/react-app/package.json index 909344466..d4a02e984 100644 --- a/lib/user-interface/react-app/package.json +++ b/lib/user-interface/react-app/package.json @@ -12,12 +12,12 @@ "format": "npx prettier --ignore-path .gitignore --write \"**/*.+(tsx|js|ts|json)\"" }, "dependencies": { - "@aws-amplify/ui-react": "^5.3.0", - "@cloudscape-design/components": "^3.0.371", - "@cloudscape-design/design-tokens": "^3.0.26", - "@cloudscape-design/global-styles": "^1.0.12", - "aws-amplify": "^5.3.10", - "luxon": "^3.4.2", + "@aws-amplify/ui-react": "^5.3.1", + "@cloudscape-design/components": "^3.0.405", + "@cloudscape-design/design-tokens": "^3.0.28", + "@cloudscape-design/global-styles": "^1.0.13", + "aws-amplify": "^5.3.11", + "luxon": "^3.4.3", "react": "^18.2.0", "react-dom": "^18.2.0", "react-json-view-lite": "^0.9.8", @@ -25,7 +25,7 @@ "react-router-dom": "^6.15.0", "react-speech-recognition": "^3.10.0", "react-textarea-autosize": "^8.5.3", - "react-use-websocket": "^4.3.1", + "react-use-websocket": "^4.5.0", "regenerator-runtime": "^0.14.0", "uuid": "^9.0.0" }, diff --git a/lib/user-interface/react-app/src/common/api-client/api-client.ts b/lib/user-interface/react-app/src/common/api-client/api-client.ts index 879b03b79..26b91a709 100644 --- a/lib/user-interface/react-app/src/common/api-client/api-client.ts +++ b/lib/user-interface/react-app/src/common/api-client/api-client.ts @@ -3,7 +3,7 @@ import { CrossEncodersClient } from "./cross-encoders-client"; import { EmbeddingsClient } from "./embeddings-client"; import { RagEnginesClient } from "./rag-engines-client"; import { HealthClient } from "./health-client"; -import { LLMsClient } from "./llms-client"; +import { ModelsClient } from "./models-client"; import { WorkspacesClient } from "./workspaces-client"; import { SessionsClient } from "./sessions-client"; import { SemanticSearchClient } from "./semantic-search-client"; @@ -15,7 +15,7 @@ export class ApiClient { private _ragEnginesClient: RagEnginesClient | undefined; private _embeddingsClient: EmbeddingsClient | undefined; private _crossEncodersClient: CrossEncodersClient | undefined; - private _llmsClient: LLMsClient | undefined; + private _modelsClient: ModelsClient | undefined; private _workspacesClient: WorkspacesClient | undefined; private _sessionsClient: SessionsClient | undefined; private _semanticSearchClient: SemanticSearchClient | undefined; @@ -54,12 +54,12 @@ export class ApiClient { return this._crossEncodersClient; } - public get llms() { - if (!this._llmsClient) { - this._llmsClient = new LLMsClient(this._appConfig); + public get models() { + if (!this._modelsClient) { + this._modelsClient = new ModelsClient(this._appConfig); } - return this._llmsClient; + return this._modelsClient; } public get workspaces() { diff --git a/lib/user-interface/react-app/src/common/api-client/llms-client.ts b/lib/user-interface/react-app/src/common/api-client/models-client.ts similarity index 51% rename from lib/user-interface/react-app/src/common/api-client/llms-client.ts rename to lib/user-interface/react-app/src/common/api-client/models-client.ts index 51912e5d6..d715d3713 100644 --- a/lib/user-interface/react-app/src/common/api-client/llms-client.ts +++ b/lib/user-interface/react-app/src/common/api-client/models-client.ts @@ -1,11 +1,11 @@ -import { ApiResult, LLMItem } from "../types"; +import { ApiResult, ModelItem } from "../types"; import { ApiClientBase } from "./api-client-base"; -export class LLMsClient extends ApiClientBase { - async getModels(): Promise> { +export class ModelsClient extends ApiClientBase { + async getModels(): Promise> { try { const headers = await this.getHeaders(); - const result = await fetch(this.getApiUrl("/llms"), { + const result = await fetch(this.getApiUrl("/models"), { headers, }); diff --git a/lib/user-interface/react-app/src/common/types.ts b/lib/user-interface/react-app/src/common/types.ts index 51aaf7c23..28c8b78a8 100644 --- a/lib/user-interface/react-app/src/common/types.ts +++ b/lib/user-interface/react-app/src/common/types.ts @@ -4,6 +4,9 @@ import { ChatBotHistoryItem } from "../components/chatbot/types"; export interface AppConfig { aws_project_region: string; + aws_cognito_identity_pool_id: string; + aws_user_pools_id: string; + aws_user_pools_web_client_id: string; config: { auth_federated_provider?: | { auto_redirect: boolean; custom: true; name: string } @@ -18,6 +21,13 @@ export interface AppConfig { default_embeddings_model: string; default_cross_encoder_model: string; }; + Storage: { + AWSS3: { + bucket: string; + region: string; + }; + }; + } export interface NavigationPanelState { @@ -49,6 +59,8 @@ export interface ApiErrorResult { export type LoadingStatus = "pending" | "loading" | "finished" | "error"; export type ModelProvider = "sagemaker" | "bedrock" | "openai"; export type RagDocumentType = "file" | "text" | "qna" | "website"; +export type Modality = "TEXT" | "IMAGE"; +export type ModelInterface = "langchain" | "idefics"; export interface WorkspaceItem { id: string; @@ -95,11 +107,14 @@ export interface CrossEncoderModelItem { default?: boolean; } -export interface LLMItem { +export interface ModelItem { provider: ModelProvider; name: string; streaming: boolean; - type: string; + inputModalities: Modality[]; + outputModalities: Modality[]; + interface: ModelInterface; + ragSupported: boolean; } export interface SessionItem { diff --git a/lib/user-interface/react-app/src/components/chatbot/chat-input-panel.tsx b/lib/user-interface/react-app/src/components/chatbot/chat-input-panel.tsx index f9dbb9d1c..474f62db7 100644 --- a/lib/user-interface/react-app/src/components/chatbot/chat-input-panel.tsx +++ b/lib/user-interface/react-app/src/components/chatbot/chat-input-panel.tsx @@ -1,13 +1,14 @@ import { Button, + Container, + Icon, Select, - SpaceBetween, - StatusIndicator, SelectProps, - Container, + SpaceBetween, Spinner, - Icon, + StatusIndicator, } from "@cloudscape-design/components"; +import { Auth } from "aws-amplify"; import { Dispatch, SetStateAction, @@ -16,35 +17,38 @@ import { useLayoutEffect, useState, } from "react"; -import useWebSocket, { ReadyState } from "react-use-websocket"; +import { useNavigate } from "react-router-dom"; import SpeechRecognition, { useSpeechRecognition, } from "react-speech-recognition"; -import { Auth } from "aws-amplify"; +import TextareaAutosize from "react-textarea-autosize"; +import useWebSocket, { ReadyState } from "react-use-websocket"; +import { ApiClient } from "../../common/api-client/api-client"; import { AppContext } from "../../common/app-context"; +import { OptionsHelper } from "../../common/helpers/options-helper"; +import { StorageHelper } from "../../common/helpers/storage-helper"; import { - ChatBotConfiguration, + ApiResult, + ModelItem, + ResultValue, + WorkspaceItem, +} from "../../common/types"; +import styles from "../../styles/chat.module.scss"; +import ConfigDialog from "./config-dialog"; +import ImageDialog from "./image-dialog"; +import { + ChabotInputModality, ChatBotAction, + ChatBotConfiguration, ChatBotHistoryItem, ChatBotMessageResponse, ChatBotMessageType, + ChatBotMode, ChatBotRunRequest, ChatInputState, + ImageFile, } from "./types"; -import TextareaAutosize from "react-textarea-autosize"; -import { ApiClient } from "../../common/api-client/api-client"; -import { - ApiResult, - LLMItem, - ResultValue, - WorkspaceItem, -} from "../../common/types"; -import { OptionsHelper } from "../../common/helpers/options-helper"; -import { useNavigate } from "react-router-dom"; -import ConfigDialog from "./config-dialog"; -import { StorageHelper } from "../../common/helpers/storage-helper"; -import styles from "../../styles/chat.module.scss"; -import { updateMessageHistory } from "./utils"; +import { getSignedUrl, updateMessageHistory } from "./utils"; export interface ChatInputPanelProps { running: boolean; @@ -83,11 +87,14 @@ export default function ChatInputPanel(props: ChatInputPanelProps) { const [state, setState] = useState({ value: "", selectedModel: null, + selectedModelMetadata: null, selectedWorkspace: workspaceDefaultOptions[0], modelsStatus: "loading", workspacesStatus: "loading", }); const [configDialogVisible, setConfigDialogVisible] = useState(false); + const [imageDialogVisible, setImageDialogVisible] = useState(false); + const [files, setFiles] = useState([]); const [socketUrl, setSocketUrl] = useState(null); const { sendJsonMessage, readyState } = useWebSocket(socketUrl, { share: true, @@ -122,12 +129,15 @@ export default function ChatInputPanel(props: ChatInputPanelProps) { (async () => { const apiClient = new ApiClient(appContext); - const [session, llmsResult, workspacesResult] = await Promise.all([ + const [session, modelsResult, workspacesResult] = await Promise.all([ Auth.currentSession(), - apiClient.llms.getModels(), + apiClient.models.getModels(), appContext?.config.rag_enabled ? apiClient.workspaces.getWorkspaces() - : Promise.resolve>({ ok: true, data: [] }), + : Promise.resolve>({ + ok: true, + data: [], + }), ]); const jwtToken = session.getAccessToken().getJwtToken(); @@ -138,12 +148,16 @@ export default function ChatInputPanel(props: ChatInputPanelProps) { ); } - const models = ResultValue.ok(llmsResult) ? llmsResult.data : []; + const models = ResultValue.ok(modelsResult) ? modelsResult.data : []; const workspaces = ResultValue.ok(workspacesResult) ? workspacesResult.data : []; const selectedModelOption = getSelectedModelOption(models); + const selectedModelMetadata = getSelectedModelMetadata( + models, + selectedModelOption + ); const selectedWorkspaceOption = appContext?.config.rag_enabled ? getSelectedWorkspaceOption(workspaces) : workspaceDefaultOptions[0]; @@ -153,8 +167,9 @@ export default function ChatInputPanel(props: ChatInputPanelProps) { models, workspaces, selectedModel: selectedModelOption, + selectedModelMetadata, selectedWorkspace: selectedWorkspaceOption, - modelsStatus: ResultValue.ok(llmsResult) ? "finished" : "error", + modelsStatus: ResultValue.ok(modelsResult) ? "finished" : "error", workspacesStatus: ResultValue.ok(workspacesResult) ? "finished" : "error", @@ -205,6 +220,27 @@ export default function ChatInputPanel(props: ChatInputPanelProps) { } }, [props.messageHistory]); + useEffect(() => { + const getSignedUrls = async () => { + if (props.configuration?.files as ImageFile[]) { + const files: ImageFile[] = []; + for await (const file of props.configuration!.files as ImageFile[]) { + const signedUrl = await getSignedUrl(file.key); + files.push({ + ...file, + url: signedUrl as string, + }); + } + + setFiles(files); + } + }; + + if (props.configuration.files?.length) { + getSignedUrls(); + } + }, [props.configuration]); + const handleSendMessage = () => { if (!state.selectedModel) return; if (props.running) return; @@ -218,7 +254,11 @@ export default function ChatInputPanel(props: ChatInputPanelProps) { const value = state.value.trim(); const request: ChatBotRunRequest = { action: ChatBotAction.Run, + modelInterface: state.selectedModelMetadata!.interface, data: { + mode: ChatBotMode.Chain, + text: value, + files: props.configuration.files || [], modelName: name, provider: provider, sessionId: props.session.id, @@ -229,8 +269,6 @@ export default function ChatInputPanel(props: ChatInputPanelProps) { temperature: props.configuration.temperature, topP: props.configuration.topP, }, - text: value, - mode: "chain", }, }; @@ -238,6 +276,12 @@ export default function ChatInputPanel(props: ChatInputPanelProps) { ...state, value: "", })); + setFiles([]); + + props.setConfiguration({ + ...props.configuration, + files: [], + }); props.setRunning(true); @@ -246,7 +290,9 @@ export default function ChatInputPanel(props: ChatInputPanelProps) { { type: ChatBotMessageType.Human, content: value, - metadata: {}, + metadata: { + ...props.configuration, + }, }, { type: ChatBotMessageType.AI, @@ -267,7 +313,7 @@ export default function ChatInputPanel(props: ChatInputPanelProps) { [ReadyState.UNINSTANTIATED]: "Uninstantiated", }[readyState]; - const llmsOptions = OptionsHelper.getSelectOptionGroups(state.models || []); + const modelsOptions = OptionsHelper.getSelectOptionGroups(state.models || []); const workspaceOptions = [ ...workspaceDefaultOptions, @@ -292,14 +338,47 @@ export default function ChatInputPanel(props: ChatInputPanelProps) { ) : ( )} + + {state.selectedModelMetadata?.inputModalities.includes( + ChabotInputModality.Image + ) && ( + setImageDialogVisible(true)} + > + + + + + + } + /> + + )} - @@ -315,6 +394,24 @@ export default function ChatInputPanel(props: ChatInputPanelProps) { placeholder={listening ? "Listening..." : "Send a message"} />
    + {state.selectedModelMetadata?.inputModalities.includes( + ChabotInputModality.Image + ) && + files.length > 0 && + files.map((file, idx) => ( + setImageDialogVisible(true)} + src={file.url} + style={{ + borderRadius: "4px", + cursor: "pointer", + maxHeight: "30px", + float: "left", + marginRight: "8px", + }} + /> + ))}
    @@ -459,7 +561,9 @@ function getSelectedWorkspaceOption( return selectedWorkspaceOption; } -function getSelectedModelOption(models: LLMItem[]): SelectProps.Option | null { +function getSelectedModelOption( + models: ModelItem[] +): SelectProps.Option | null { let selectedModelOption: SelectProps.Option | null = null; const savedModel = StorageHelper.getSelectedLLM(); @@ -478,7 +582,7 @@ function getSelectedModelOption(models: LLMItem[]): SelectProps.Option | null { } } - let candidate: LLMItem | undefined = undefined; + let candidate: ModelItem | undefined = undefined; if (!selectedModelOption) { const bedrockModels = models.filter((m) => m.provider === "bedrock"); const sageMakerModels = models.filter((m) => m.provider === "sagemaker"); @@ -525,3 +629,25 @@ function getSelectedModelOption(models: LLMItem[]): SelectProps.Option | null { return selectedModelOption; } + +function getSelectedModelMetadata( + models: ModelItem[] | undefined, + selectedModelOption: SelectProps.Option | null +): ModelItem | null { + let selectedModelMetadata: ModelItem | null = null; + + if (selectedModelOption) { + const { name, provider } = OptionsHelper.parseValue( + selectedModelOption.value + ); + const targetModel = models?.find( + (m) => m.name === name && m.provider === provider + ); + + if (targetModel) { + selectedModelMetadata = targetModel; + } + } + + return selectedModelMetadata; +} diff --git a/lib/user-interface/react-app/src/components/chatbot/chat-message.tsx b/lib/user-interface/react-app/src/components/chatbot/chat-message.tsx index 4f54a34a5..5881004a9 100644 --- a/lib/user-interface/react-app/src/components/chatbot/chat-message.tsx +++ b/lib/user-interface/react-app/src/components/chatbot/chat-message.tsx @@ -1,19 +1,26 @@ import { + Box, + Button, Container, - SpaceBetween, ExpandableSection, - TextContent, + Popover, Spinner, - Box, + StatusIndicator, + TextContent, } from "@cloudscape-design/components"; +import { Dispatch, useEffect, useState } from "react"; +import { JsonView, darkStyles } from "react-json-view-lite"; +import ReactMarkdown from "react-markdown"; +import styles from "../../styles/chat.module.scss"; import { ChatBotConfiguration, ChatBotHistoryItem, ChatBotMessageType, + ImageFile, } from "./types"; -import { JsonView, darkStyles } from "react-json-view-lite"; -import ReactMarkdown from "react-markdown"; -import { Dispatch } from "react"; + +import { getSignedUrl } from "./utils"; + import "react-json-view-lite/dist/index.css"; import "../../styles/app.scss"; @@ -24,6 +31,33 @@ export interface ChatMessageProps { } export default function ChatMessage(props: ChatMessageProps) { + const [loading, setLoading] = useState(false); + const [message] = useState(props.message); + const [files, setFiles] = useState([] as ImageFile[]); + + useEffect(() => { + const getSignedUrls = async () => { + setLoading(true); + if (message.metadata?.files as ImageFile[]) { + const files: ImageFile[] = []; + for await (const file of message.metadata?.files as ImageFile[]) { + const signedUrl = await getSignedUrl(file.key); + files.push({ + ...file, + url: signedUrl as string, + }); + } + + setLoading(false); + setFiles(files); + } + }; + + if (message.metadata?.files as ImageFile[]) { + getSignedUrls(); + } + }, [message]); + return (
    {props.message?.type === ChatBotMessageType.AI && ( @@ -47,16 +81,59 @@ export default function ChatMessage(props: ChatMessageProps) { ) } > - - {props.message.content.length === 0 ? ( - - - - ) : null} - - + {props.message.content.length === 0 ? ( + + + + ) : null} + {props.message.content.length > 0 ? ( +
    + + Copied to clipboard + + } + > +
    + ) : null} + )} + {loading && ( + + + + )} + {files && !loading && ( + <> + {files.map((file, idx) => ( +
    + + + ))} + + )} {props.message?.type === ChatBotMessageType.Human && ( {props.message.content} diff --git a/lib/user-interface/react-app/src/components/chatbot/chat.tsx b/lib/user-interface/react-app/src/components/chatbot/chat.tsx index 8c617af7d..eb1dff157 100644 --- a/lib/user-interface/react-app/src/components/chatbot/chat.tsx +++ b/lib/user-interface/react-app/src/components/chatbot/chat.tsx @@ -21,8 +21,9 @@ export default function Chat(props: { sessionId?: string }) { streaming: true, showMetadata: false, maxTokens: 512, - temperature: 0.1, - topP: 1.0, + temperature: 0.6, + topP: 0.9, + files: null, }) ); diff --git a/lib/user-interface/react-app/src/components/chatbot/image-dialog.tsx b/lib/user-interface/react-app/src/components/chatbot/image-dialog.tsx new file mode 100644 index 000000000..e8557cd0d --- /dev/null +++ b/lib/user-interface/react-app/src/components/chatbot/image-dialog.tsx @@ -0,0 +1,207 @@ +import { + Box, + Button, + FileUpload, + Form, + FormField, + Modal, + SpaceBetween, + Spinner, +} from "@cloudscape-design/components"; +import { useForm } from "../../common/hooks/use-form"; + +import { Storage } from "aws-amplify"; +import { Dispatch, useState } from "react"; +import { v4 as uuidv4 } from "uuid"; +import { ChatBotConfiguration, FileStorageProvider, ImageFile } from "./types"; + +export interface ImageDialogProps { + sessionId: string; + visible: boolean; + setVisible: (visible: boolean) => void; + configuration: ChatBotConfiguration; + setConfiguration: Dispatch>; +} + +const ALLOWED_MIME_TYPES = ["image/png", "image/jpg", "image/jpeg"]; + +export default function ImageDialog(props: ImageDialogProps) { + const [error, setError] = useState(null); + const [loading, setLoading] = useState(false); + const [files, setFiles] = useState([] as File[]); + + const { data, onChange, errors, validate } = useForm({ + initialValue: () => { + const retValue = { + ...props.configuration, + files: [] as File[], + }; + + return retValue; + }, + validate: (form) => { + const errors: Record | null = {}; + console.log(form); + if (!form.files || form.files.length === 0) { + errors.files = "Please choose a file"; + } + + if (!validateFiles(form.files)) { + errors.files = "File size or type is invalid"; + } + + return errors; + }, + }); + + const saveConfig = async () => { + if (!validate()) return; + setLoading(true); + + const files: ImageFile[] = (await uploadFiles(data.files)) as ImageFile[]; + + props.setConfiguration({ + ...props.configuration, + files, + }); + setFiles([]); + setLoading(false); + props.setVisible(false); + }; + + const cancelChanges = () => { + setFiles([]); + setLoading(false); + props.setVisible(false); + }; + + const validateFiles = (files: File[]) => { + const maxFilesSizeMb = 10; + setError(null); + // ensure the first file type MIME is images png, jpg, jpeg, gif or svg and less than 5MB only + if (files.length === 0) return false; + + const errors: string[] = []; + files.forEach((file) => { + if (file.size > maxFilesSizeMb * 1024 * 1024) { + errors.push(`Files size must be less than ${maxFilesSizeMb}MB`); + } + + if (!ALLOWED_MIME_TYPES.includes(file.type)) { + errors.push( + `File type must be one of ${ALLOWED_MIME_TYPES.join(", ")}` + ); + } + }); + + if (errors.length > 0) { + setError(errors.join(", ")); + return false; + } + + return true; + }; + + const uploadFiles = async (files: File[]) => { + const s3Files = []; + for await (const file of files) { + try { + const response = await uploadFile(file); + s3Files.push({ + key: `${response.key}`, + provider: FileStorageProvider.S3, + }); + } catch (error) { + const errorMessage = "Error uploading file: " + error; + console.log(errorMessage); + setError(errorMessage); + } + } + + if (error) { + return; + } + + return s3Files; + }; + + const uploadFile = async (file: File) => { + console.log(file); + const id = uuidv4(); + const shortId = id.split("-")[0]; + // get the extension of the file and content type + const extension = file.name.split(".").pop(); + const contentType = file.type; + + const response = await Storage.put(`${shortId}.${extension}`, file, { + contentType, + }); + return { + ...response, + }; + }; + + return ( + props.setVisible(false)} + visible={props.visible} + footer={ + + + + + + + } + header="Add images to your message" + > +
    + + + { + onChange({ files: detail.value }); + setFiles(detail.value); + }} + value={files} + i18nStrings={{ + uploadButtonText: (e) => (e ? "Choose files" : "Choose file"), + dropzoneText: (e) => + e ? "Drop files to upload" : "Drop file to upload", + removeFileAriaLabel: (e) => `Remove file ${e + 1}`, + limitShowFewer: "Show fewer files", + limitShowMore: "Show more files", + errorIconAriaLabel: "Error", + }} + multiple={false} + errorText={error} + showFileThumbnail + tokenLimit={3} + constraintText=".png, .jpg, .jpeg. Max 10MB." + /> + + {loading && ( + <> +
    + + Adding file... +
    + + )} +
    +
    +
    + ); +} diff --git a/lib/user-interface/react-app/src/components/chatbot/types.ts b/lib/user-interface/react-app/src/components/chatbot/types.ts index 27b28b095..3acf492b7 100644 --- a/lib/user-interface/react-app/src/components/chatbot/types.ts +++ b/lib/user-interface/react-app/src/components/chatbot/types.ts @@ -1,20 +1,21 @@ -import { JsonPrimitive, JsonValue } from "react-use-websocket/dist/lib/types"; -import { LLMItem, LoadingStatus, WorkspaceItem } from "../../common/types"; +import { ModelItem, LoadingStatus, WorkspaceItem } from "../../common/types"; import { SelectProps } from "@cloudscape-design/components"; - +import { ModelInterface } from "../../common/types"; export interface ChatBotConfiguration { streaming: boolean; showMetadata: boolean; maxTokens: number; temperature: number; topP: number; + files: ImageFile[] | null; } export interface ChatInputState { value: string; workspaces?: WorkspaceItem[]; - models?: LLMItem[]; + models?: ModelItem[]; selectedModel: SelectProps.Option | null; + selectedModelMetadata: ModelItem | null; selectedWorkspace: SelectProps.Option | null; modelsStatus: LoadingStatus; workspacesStatus: LoadingStatus; @@ -32,13 +33,33 @@ export enum ChatBotAction { Error = "error", } -export interface ChatBotRunRequest - extends Record { +export enum ChatBotModelInterface { + Langchain = "langchain", + Idefics = "idefics", +} + +export enum ChatBotMode { + Chain = "chain", +} + +export enum FileStorageProvider { + S3 = "s3", +} + +export interface ImageFile { + provider: FileStorageProvider; + key: string; + url: string; +} + +export interface ChatBotRunRequest { action: ChatBotAction.Run; + modelInterface: ModelInterface; data: { modelName: string; provider: string; sessionId?: string; + files: ImageFile[] | null; text: string; mode: string; workspaceId?: string; @@ -55,7 +76,7 @@ export interface ChatBotToken { export interface ChatBotHistoryItem { type: ChatBotMessageType; content: string; - metadata: Record; + metadata: Record; tokens?: ChatBotToken[]; } @@ -65,6 +86,17 @@ export interface ChatBotMessageResponse { sessionId: string; token?: ChatBotToken; content?: string; - metadata: Record; + metadata: Record; }; } + +export enum ChabotInputModality { + Text = "TEXT", + Image = "IMAGE", +} + +export enum ChabotOutputModality { + Text = "TEXT", + Image = "IMAGE", + Embedding = "EMBEDDING", +} diff --git a/lib/user-interface/react-app/src/components/chatbot/utils.ts b/lib/user-interface/react-app/src/components/chatbot/utils.ts index 5ac2b47a7..f5e04eb8d 100644 --- a/lib/user-interface/react-app/src/components/chatbot/utils.ts +++ b/lib/user-interface/react-app/src/components/chatbot/utils.ts @@ -1,3 +1,4 @@ +import { Storage } from "aws-amplify"; import { Dispatch, SetStateAction } from "react"; import { ChatBotAction, @@ -113,3 +114,8 @@ export function updateMessageHistory( } } } + +export async function getSignedUrl(key: string) { + const signedUrl = await Storage.get(key as string); + return signedUrl; +} diff --git a/lib/user-interface/react-app/src/components/navigation-panel.tsx b/lib/user-interface/react-app/src/components/navigation-panel.tsx index 22d05234b..064f635a7 100644 --- a/lib/user-interface/react-app/src/components/navigation-panel.tsx +++ b/lib/user-interface/react-app/src/components/navigation-panel.tsx @@ -26,7 +26,7 @@ export default function NavigationPanel() { { type: "link", text: "Playground", href: "/chatbot/playground" }, { type: "link", - text: "Large Language Models (LLMs)", + text: "Models", href: "/chatbot/models", }, ], diff --git a/lib/user-interface/react-app/src/pages/chatbot/models/column-definitions.tsx b/lib/user-interface/react-app/src/pages/chatbot/models/column-definitions.tsx index 37059c600..a8d5927a9 100644 --- a/lib/user-interface/react-app/src/pages/chatbot/models/column-definitions.tsx +++ b/lib/user-interface/react-app/src/pages/chatbot/models/column-definitions.tsx @@ -3,41 +3,84 @@ import { PropertyFilterProperty, PropertyFilterOperator, } from "@cloudscape-design/collection-hooks"; -import { LLMItem } from "../../../common/types"; +import { ModelItem } from "../../../common/types"; -export const ModelsColumnDefinitions: TableProps.ColumnDefinition[] = [ +export const ModelsColumnDefinitions: TableProps.ColumnDefinition[] = + [ + { + id: "provider", + header: "Provider", + sortingField: "provider", + cell: (item: ModelItem) => item.provider, + }, + { + id: "name", + header: "Name", + sortingField: "name", + cell: (item: ModelItem) => item.name, + isRowHeader: true, + }, + { + id: "ragSupported", + header: "RAG Supported", + sortingField: "ragSupported", + cell: (item: ModelItem) => (item.ragSupported ? "Yes" : "No"), + }, + { + id: "inputModalities", + header: "Input modalities", + sortingField: "inputModalities", + cell: (item: ModelItem) => item.inputModalities.join(", "), + }, + { + id: "outputModalities", + header: "Output modalities", + sortingField: "outputModalities", + cell: (item: ModelItem) => item.outputModalities.join(", "), + }, + { + id: "streaming", + header: "Streaming", + sortingField: "streaming", + cell: (item: ModelItem) => (item.streaming ? "Yes" : "No"), + }, + ]; + +export const ModelsColumnFilteringProperties: PropertyFilterProperty[] = [ { - id: "name", - header: "Name", - sortingField: "name", - cell: (item: LLMItem) => item.name, - isRowHeader: true, + propertyLabel: "Provider", + key: "provider", + groupValuesLabel: "Provider values", + operators: [":", "!:", "=", "!="] as PropertyFilterOperator[], + }, + { + propertyLabel: "Name", + key: "name", + groupValuesLabel: "Name values", + operators: [":", "!:", "=", "!="] as PropertyFilterOperator[], }, { - id: "provider", - header: "Provider", - sortingField: "provider", - cell: (item: LLMItem) => item.provider, + propertyLabel: "RAG Supported", + key: "ragSupported", + groupValuesLabel: "RAG Supported values", + operators: [":", "!:", "=", "!="] as PropertyFilterOperator[], }, { - id: "streaming", - header: "Streaming", - sortingField: "streaming", - cell: (item: LLMItem) => (item.streaming ? "Yes" : "No"), + propertyLabel: "Input modalities", + key: "inputModalities", + groupValuesLabel: "Input modalities values", + operators: [":", "!:", "=", "!="] as PropertyFilterOperator[], }, -]; - -export const ModelsColumnFilteringProperties: PropertyFilterProperty[] = [ { - propertyLabel: "Name", - key: "name", - groupValuesLabel: "Name values", + propertyLabel: "Output modalities", + key: "outputModalities", + groupValuesLabel: "Output modalities values", operators: [":", "!:", "=", "!="] as PropertyFilterOperator[], }, { - propertyLabel: "Provider", - key: "provider", - groupValuesLabel: "Provider values", + propertyLabel: "Streaming", + key: "streaming", + groupValuesLabel: "Streaming values", operators: [":", "!:", "=", "!="] as PropertyFilterOperator[], }, ].sort((a, b) => a.propertyLabel.localeCompare(b.propertyLabel)); diff --git a/lib/user-interface/react-app/src/pages/chatbot/models/models.tsx b/lib/user-interface/react-app/src/pages/chatbot/models/models.tsx index 4079334c5..f5c8b2c7d 100644 --- a/lib/user-interface/react-app/src/pages/chatbot/models/models.tsx +++ b/lib/user-interface/react-app/src/pages/chatbot/models/models.tsx @@ -13,7 +13,7 @@ import { ApiClient } from "../../../common/api-client/api-client"; import { AppContext } from "../../../common/app-context"; import { TextHelper } from "../../../common/helpers/text-helper"; import { PropertyFilterI18nStrings } from "../../../common/i18n/property-filter-i18n-strings"; -import { LLMItem, ResultValue } from "../../../common/types"; +import { ModelItem, ResultValue } from "../../../common/types"; import { TableEmptyState } from "../../../components/table-empty-state"; import { TableNoMatchState } from "../../../components/table-no-match-state"; import { @@ -24,7 +24,7 @@ import { export default function Models() { const onFollow = useOnFollow(); const appContext = useContext(AppContext); - const [models, setModels] = useState([]); + const [models, setModels] = useState([]); const [loading, setLoading] = useState(true); const { items, @@ -36,7 +36,7 @@ export default function Models() { } = useCollection(models, { propertyFiltering: { filteringProperties: ModelsColumnFilteringProperties, - empty: , + empty: , noMatch: ( { @@ -49,7 +49,7 @@ export default function Models() { sorting: { defaultState: { sortingColumn: ModelsColumnDefinitions[0], - isDescending: true, + isDescending: false, }, }, selection: {}, @@ -59,7 +59,7 @@ export default function Models() { if (!appContext) return; const apiClient = new ApiClient(appContext); - const result = await apiClient.llms.getModels(); + const result = await apiClient.models.getModels(); if (ResultValue.ok(result)) { setModels(result.data); } @@ -85,7 +85,7 @@ export default function Models() { href: "/", }, { - text: "Large Language Models (LLMs)", + text: "Models", href: "/chatbot/models", }, ]} @@ -99,18 +99,14 @@ export default function Models() { variant="full-page" stickyHeader={true} resizableColumns={true} - header={ -
    - Large Language Models (LLMs) -
    - } + header={
    Models
    } loading={loading} - loadingText="Loading Large Language Models (LLMs)" + loadingText="Loading Models" filter={ - Start chatting + Getting Started } > @@ -145,7 +145,7 @@ export default function Welcome() { Cognito Authentication {" "} to help you interact and experiment with{" "} - multiple LLMs,{" "} + multiple Models,{" "} multiple RAG sources,{" "} conversational history support and{" "} documents upload. @@ -223,48 +223,6 @@ export default function Welcome() { }, ]} /> -
    - -
    - Models Interface -
    - ( - - {item.name} - - ), - sections: [ - { - content: (item) => ( -
    -
    {item.description}
    -
    - ), - }, - ], - }} - cardsPerRow={[{ cards: 1 }]} - items={[ - { - name: "LangChain", - external: true, - href: "https://python.langchain.com/", - description: - "LangChain is a framework designed to simplify the creation of applications using large language models.", - }, - ]} - /> -
    -
    } diff --git a/lib/user-interface/react-app/src/styles/chat.module.scss b/lib/user-interface/react-app/src/styles/chat.module.scss index 4b322dd44..de388f8b9 100644 --- a/lib/user-interface/react-app/src/styles/chat.module.scss +++ b/lib/user-interface/react-app/src/styles/chat.module.scss @@ -30,6 +30,7 @@ color: awsui.$color-text-body-default; font-size: 3rem; font-weight: bolder; + opacity: 0.4; } .input_container { @@ -94,6 +95,15 @@ } } +.btn_chabot_message_copy { + float: right; +} + +.img_chabot_message { + max-width: 30%; + border-radius: 8px; +} + @media (max-width: 689px) { .input_controls { display: grid; diff --git a/lib/user-interface/react-app/vite.config.ts b/lib/user-interface/react-app/vite.config.ts index def3f84c1..014c7a924 100644 --- a/lib/user-interface/react-app/vite.config.ts +++ b/lib/user-interface/react-app/vite.config.ts @@ -1,4 +1,4 @@ -import {defineConfig} from "vite"; +import { defineConfig } from "vite"; import fs from "fs"; import path from "path"; import react from "@vitejs/plugin-react"; @@ -14,25 +14,37 @@ export default defineConfig({ isDev && { name: "aws-exports", writeBundle() { - const outputPath = path.resolve('public/aws-exports.json'); + const outputPath = path.resolve("public/aws-exports.json"); // Write the modified JSON data to the public folder - fs.writeFileSync(outputPath, JSON.stringify({ - aws_project_region: process.env.AWS_PROJECT_REGION, - aws_cognito_region: process.env.AWS_COGNITO_REGION, - aws_user_pools_id: process.env.AWS_USER_POOLS_ID, - aws_user_pools_web_client_id: process.env.AWS_USER_POOLS_WEB_CLIENT_ID, - config: { - api_endpoint: `https://${process.env.API_DISTRIBUTION_DOMAIN_NAME}/api`, - websocket_endpoint: `wss://${process.env.API_DISTRIBUTION_DOMAIN_NAME}/socket`, - rag_enabled: ['T', "t", "true", "True", "TRUE", "1"].includes(process.env.RAG_ENABLED), - default_embeddings_model: process.env.DEFAULT_EMBEDDINGS_MODEL, - default_cross_encoder_model: process.env.DEFAULT_CROSS_ENCODER_MODEL, - }, - }, null, 2), 'utf-8'); - } + fs.writeFileSync( + outputPath, + JSON.stringify( + { + aws_project_region: process.env.AWS_PROJECT_REGION, + aws_cognito_region: process.env.AWS_COGNITO_REGION, + aws_user_pools_id: process.env.AWS_USER_POOLS_ID, + aws_user_pools_web_client_id: + process.env.AWS_USER_POOLS_WEB_CLIENT_ID, + config: { + api_endpoint: `https://${process.env.API_DISTRIBUTION_DOMAIN_NAME}/api`, + websocket_endpoint: `wss://${process.env.API_DISTRIBUTION_DOMAIN_NAME}/socket`, + rag_enabled: ["T", "t", "true", "True", "TRUE", "1"].includes( + process.env.RAG_ENABLED + ), + default_embeddings_model: process.env.DEFAULT_EMBEDDINGS_MODEL, + default_cross_encoder_model: + process.env.DEFAULT_CROSS_ENCODER_MODEL, + }, + }, + null, + 2 + ), + "utf-8" + ); + }, }, - react() + react(), ], server: { port: 3000, diff --git a/package-lock.json b/package-lock.json index 9ccde7342..c40a38616 100644 --- a/package-lock.json +++ b/package-lock.json @@ -1,16 +1,21 @@ { "name": "aws-genai-llm-chatbot", - "version": "3.0.0", + "version": "3.1.2", "lockfileVersion": 3, "requires": true, "packages": { "": { "name": "aws-genai-llm-chatbot", - "version": "3.0.0", + "version": "3.1.2", "dependencies": { + "@aws-cdk/aws-apigatewayv2": "^1.204.0", "@aws-cdk/aws-apigatewayv2-alpha": "^2.99.1-alpha.0", "@aws-cdk/aws-apigatewayv2-authorizers-alpha": "^2.99.1-alpha.0", + "@aws-cdk/aws-apigatewayv2-integrations": "^1.204.0", "@aws-cdk/aws-apigatewayv2-integrations-alpha": "^2.99.1-alpha.0", + "@aws-cdk/aws-cognito-identitypool-alpha": "^2.99.1-alpha.0", + "@aws-cdk/aws-ec2": "^1.204.0", + "@aws-cdk/aws-s3": "^1.204.0", "aws-cdk-lib": "2.99.1", "commander": "^11.0.0", "constructs": "^10.0.0", @@ -71,6 +76,85 @@ "resolved": "https://registry.npmjs.org/@aws-cdk/asset-node-proxy-agent-v6/-/asset-node-proxy-agent-v6-2.0.1.tgz", "integrity": "sha512-DDt4SLdLOwWCjGtltH4VCST7hpOI5DzieuhGZsBpZ+AgJdSI2GCjklCXm0GCTwJG/SolkL5dtQXyUKgg9luBDg==" }, + "node_modules/@aws-cdk/assets": { + "version": "1.204.0", + "resolved": "https://registry.npmjs.org/@aws-cdk/assets/-/assets-1.204.0.tgz", + "integrity": "sha512-rY9YHZ3gUWr+dLwTwSUWYbIfk/AXy4JZRkhLbunrtzjQhH+QMm/2IWIebfBGu+A5AlVRaFbRLonReuGP5WZoUQ==", + "deprecated": "AWS CDK v1 has reached End-of-Support on 2023-06-01.\nThis package is no longer being updated, and users should migrate to AWS CDK v2.\n\nFor more information on how to migrate, see https://docs.aws.amazon.com/cdk/v2/guide/migrating-v2.html", + "dependencies": { + "@aws-cdk/core": "1.204.0", + "@aws-cdk/cx-api": "1.204.0", + "constructs": "^3.3.69" + }, + "engines": { + "node": ">= 14.15.0" + }, + "peerDependencies": { + "@aws-cdk/core": "1.204.0", + "@aws-cdk/cx-api": "1.204.0", + "constructs": "^3.3.69" + } + }, + "node_modules/@aws-cdk/assets/node_modules/constructs": { + "version": "3.4.344", + "resolved": "https://registry.npmjs.org/constructs/-/constructs-3.4.344.tgz", + "integrity": "sha512-Qq3upn44oGdvgasHUKWVFsrynyYrtVRd9fd8ko9cJOrFzx9eCm3iI4bhBryQqaISdausbTYUOXmoEe/YSJ16Nw==", + "engines": { + "node": ">= 16.14.0" + } + }, + "node_modules/@aws-cdk/aws-acmpca": { + "version": "1.204.0", + "resolved": "https://registry.npmjs.org/@aws-cdk/aws-acmpca/-/aws-acmpca-1.204.0.tgz", + "integrity": "sha512-2zyuQZwynwkz2qiuFDp088tglWXKX3q7saWRDqeuq2n2HE6PGuQRjd4zjl9nDGUVxQYtzzXyEuPyaEta8fg9lQ==", + "deprecated": "AWS CDK v1 has reached End-of-Support on 2023-06-01.\nThis package is no longer being updated, and users should migrate to AWS CDK v2.\n\nFor more information on how to migrate, see https://docs.aws.amazon.com/cdk/v2/guide/migrating-v2.html", + "dependencies": { + "@aws-cdk/core": "1.204.0", + "constructs": "^3.3.69" + }, + "engines": { + "node": ">= 14.15.0" + }, + "peerDependencies": { + "@aws-cdk/core": "1.204.0", + "constructs": "^3.3.69" + } + }, + "node_modules/@aws-cdk/aws-acmpca/node_modules/constructs": { + "version": "3.4.344", + "resolved": "https://registry.npmjs.org/constructs/-/constructs-3.4.344.tgz", + "integrity": "sha512-Qq3upn44oGdvgasHUKWVFsrynyYrtVRd9fd8ko9cJOrFzx9eCm3iI4bhBryQqaISdausbTYUOXmoEe/YSJ16Nw==", + "engines": { + "node": ">= 16.14.0" + } + }, + "node_modules/@aws-cdk/aws-apigatewayv2": { + "version": "1.204.0", + "resolved": "https://registry.npmjs.org/@aws-cdk/aws-apigatewayv2/-/aws-apigatewayv2-1.204.0.tgz", + "integrity": "sha512-FGRznk2yph7ZyC7JHfVMKyDuFTT6p/HZDys1biY4lz+T7hqMaDC2ik+b+mO7ptwY5ebyPT4KePR0wmp3jJshIg==", + "deprecated": "AWS CDK v1 has reached End-of-Support on 2023-06-01.\nThis package is no longer being updated, and users should migrate to AWS CDK v2.\n\nFor more information on how to migrate, see https://docs.aws.amazon.com/cdk/v2/guide/migrating-v2.html", + "dependencies": { + "@aws-cdk/aws-certificatemanager": "1.204.0", + "@aws-cdk/aws-cloudwatch": "1.204.0", + "@aws-cdk/aws-ec2": "1.204.0", + "@aws-cdk/aws-iam": "1.204.0", + "@aws-cdk/aws-s3": "1.204.0", + "@aws-cdk/core": "1.204.0", + "constructs": "^3.3.69" + }, + "engines": { + "node": ">= 14.15.0" + }, + "peerDependencies": { + "@aws-cdk/aws-certificatemanager": "1.204.0", + "@aws-cdk/aws-cloudwatch": "1.204.0", + "@aws-cdk/aws-ec2": "1.204.0", + "@aws-cdk/aws-iam": "1.204.0", + "@aws-cdk/aws-s3": "1.204.0", + "@aws-cdk/core": "1.204.0", + "constructs": "^3.3.69" + } + }, "node_modules/@aws-cdk/aws-apigatewayv2-alpha": { "version": "2.99.1-alpha.0", "resolved": "https://registry.npmjs.org/@aws-cdk/aws-apigatewayv2-alpha/-/aws-apigatewayv2-alpha-2.99.1-alpha.0.tgz", @@ -96,6 +180,35 @@ "constructs": "^10.0.0" } }, + "node_modules/@aws-cdk/aws-apigatewayv2-integrations": { + "version": "1.204.0", + "resolved": "https://registry.npmjs.org/@aws-cdk/aws-apigatewayv2-integrations/-/aws-apigatewayv2-integrations-1.204.0.tgz", + "integrity": "sha512-horTvaVCd0WsiEe2pWzncrF0LlxtxbjEILAaPv7afEFsoWJOf/ymj0DMBWNPf35dxhRcINIyw/pXpigb8uepug==", + "deprecated": "AWS CDK v1 has reached End-of-Support on 2023-06-01.\nThis package is no longer being updated, and users should migrate to AWS CDK v2.\n\nFor more information on how to migrate, see https://docs.aws.amazon.com/cdk/v2/guide/migrating-v2.html", + "dependencies": { + "@aws-cdk/aws-apigatewayv2": "1.204.0", + "@aws-cdk/aws-ec2": "1.204.0", + "@aws-cdk/aws-elasticloadbalancingv2": "1.204.0", + "@aws-cdk/aws-iam": "1.204.0", + "@aws-cdk/aws-lambda": "1.204.0", + "@aws-cdk/aws-servicediscovery": "1.204.0", + "@aws-cdk/core": "1.204.0", + "constructs": "^3.3.69" + }, + "engines": { + "node": ">= 14.15.0" + }, + "peerDependencies": { + "@aws-cdk/aws-apigatewayv2": "1.204.0", + "@aws-cdk/aws-ec2": "1.204.0", + "@aws-cdk/aws-elasticloadbalancingv2": "1.204.0", + "@aws-cdk/aws-iam": "1.204.0", + "@aws-cdk/aws-lambda": "1.204.0", + "@aws-cdk/aws-servicediscovery": "1.204.0", + "@aws-cdk/core": "1.204.0", + "constructs": "^3.3.69" + } + }, "node_modules/@aws-cdk/aws-apigatewayv2-integrations-alpha": { "version": "2.99.1-alpha.0", "resolved": "https://registry.npmjs.org/@aws-cdk/aws-apigatewayv2-integrations-alpha/-/aws-apigatewayv2-integrations-alpha-2.99.1-alpha.0.tgz", @@ -109,6 +222,1150 @@ "constructs": "^10.0.0" } }, + "node_modules/@aws-cdk/aws-apigatewayv2-integrations/node_modules/constructs": { + "version": "3.4.344", + "resolved": "https://registry.npmjs.org/constructs/-/constructs-3.4.344.tgz", + "integrity": "sha512-Qq3upn44oGdvgasHUKWVFsrynyYrtVRd9fd8ko9cJOrFzx9eCm3iI4bhBryQqaISdausbTYUOXmoEe/YSJ16Nw==", + "engines": { + "node": ">= 16.14.0" + } + }, + "node_modules/@aws-cdk/aws-apigatewayv2/node_modules/constructs": { + "version": "3.4.344", + "resolved": "https://registry.npmjs.org/constructs/-/constructs-3.4.344.tgz", + "integrity": "sha512-Qq3upn44oGdvgasHUKWVFsrynyYrtVRd9fd8ko9cJOrFzx9eCm3iI4bhBryQqaISdausbTYUOXmoEe/YSJ16Nw==", + "engines": { + "node": ">= 16.14.0" + } + }, + "node_modules/@aws-cdk/aws-applicationautoscaling": { + "version": "1.204.0", + "resolved": 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"sha512-lPkYJNoN4Gjlf0Fdfgcd1RTm5RD9qtfaFMwVvTn2KGTr7ZqmFskGQ9FqIcd5vd6GmsbAL8OrFOToLr1AHDuOiQ==", + "deprecated": "AWS CDK v1 has reached End-of-Support on 2023-06-01.\nThis package is no longer being updated, and users should migrate to AWS CDK v2.\n\nFor more information on how to migrate, see https://docs.aws.amazon.com/cdk/v2/guide/migrating-v2.html", + "engines": { + "node": ">= 14.15.0" + } + }, "node_modules/@babel/code-frame": { "version": "7.22.5", "resolved": "https://registry.npmjs.org/@babel/code-frame/-/code-frame-7.22.5.tgz", diff --git a/package.json b/package.json index 263c86af3..163c59fb7 100644 --- a/package.json +++ b/package.json @@ -1,6 +1,6 @@ { "name": "aws-genai-llm-chatbot", - "version": "3.0.0", + "version": "3.1.2", "bin": { "aws-genai-llm-chatbot": "bin/aws-genai-llm-chatbot.js" }, @@ -12,7 +12,7 @@ "create": "node ./cli/magic.js create", "lint": "eslint . --ext ts,tsx --report-unused-disable-directives --max-warnings 0", "format": "npx prettier --ignore-path .gitignore --write \"**/*.+(js|ts|jsx|tsx|json|css)\"", - "deploy": "npm run formatjs && npm run formatpy && cdk deploy --all" + "deploy": "npm run format && npx cdk deploy" }, "devDependencies": { "@types/jest": "^29.5.1", @@ -28,9 +28,14 @@ "typescript": "~5.1.3" }, "dependencies": { + "@aws-cdk/aws-apigatewayv2": "^1.204.0", "@aws-cdk/aws-apigatewayv2-alpha": "^2.99.1-alpha.0", "@aws-cdk/aws-apigatewayv2-authorizers-alpha": "^2.99.1-alpha.0", + "@aws-cdk/aws-apigatewayv2-integrations": "^1.204.0", "@aws-cdk/aws-apigatewayv2-integrations-alpha": "^2.99.1-alpha.0", + "@aws-cdk/aws-cognito-identitypool-alpha": "^2.99.1-alpha.0", + "@aws-cdk/aws-ec2": "^1.204.0", + "@aws-cdk/aws-s3": "^1.204.0", "aws-cdk-lib": "2.99.1", "commander": "^11.0.0", "constructs": "^10.0.0",

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