Readme pricing

Author: ravimat

README.md

@@ -42,30 +42,41 @@ _You are responsible for the cost of the AWS services used while running this Gu
 
 ### Pricing 
 
-| AWS service  | Dimensions | Cost [USD] |
-| ----------- | ------------ | ------------ |
-| [Amazon Amplify Hosting](https://aws.amazon.com/amplify/pricing/) | Build and deploy| $0.01 per minute|
-|               | Data storage| $0.023 per GB per month|
-|               | Data transfer out| $0.15 per GB served|
-| [Amazon Cognito User - Lite] (https://aws.amazon.com/cognito/pricing/) | Monthly active users (MAUs) | Up to 10k - Free|
-| [Amazon Bedrock - Amazon Nova Micro](https://aws.amazon.com/bedrock/pricing/| 1,000,000 input tokens  | $ $0.000035 |
-|                                   | 1,000,000 output tokens | $ $0.00014 |
-| [Amazon Bedrock - Anthropic Claude 3.5 Sonnet](https://aws.amazon.com/bedrock/pricing/| 1,000,000 input tokens  | $ $0.003 |
-|                                   | 1,000,000 output tokens | $ $$0.015 |
-| [Amazon API Gateway REST API](https://aws.amazon.com/api-gateway/pricing/) | First 333 million| $ 3.50|
-| [Amazon Lambda](https://aws.amazon.com/lambda/pricing) | First 6 Billion GB-seconds / month (x86)  | $0.0000166667 for every GB-second , $0.20 per 1M requests |
-| [Amazon DynamoDB](https://aws.amazon.com/dynamodb/pricing/on-demand/) | Data Storage| First 25 GB stored per month - free, $0.25 per GB-month thereafter |
-|                                                                        | Write Request Units (WRU)| $0.625 per million write request units |
-|                                                                        | Read Request Units (RRU)| $0.125 per million read request units |
+Usage scenario:
+
+   - 10 users
+   - Each user uses 10,000 tokens per day
+   - Here is  monthly cost breakdown for 30 days of usage
+
+
+| AWS Service | Assumptions| 	Calculation| 	Estimated Monthly Cost (USD)| 
+| -----------| -----------| --------------| -------------------------------| 
+| Amazon Bedrock (AI)| 	10 users × 10,000 input tokens/day, equal output tokens| 	Input: (3,000,000 ÷ 1,000) × 0.003 = 9.00 Output: (3,000,000 ÷ 1,000) × 0.015 = 45.00| 	9.00 + 45.00 = 54.00| 
+| AWS Amplify| 	5 GB data storage, 10 GB data transfer out per month| 	Storage: 5 × 0.023 = 0.115  Data transfer:|  10 × 0.15 = 1.50| 	0.115 + 1.50 = 1.62| 
+| Amazon Cognito| 	10 monthly active users (free tier)| 	Free tier for MAUs up to 10,000| 	0.00| 
+| API Gateway| 	10 users × 1,000 API requests/day	| (300,000 ÷ 1,000,000) × 3.50 = 1.05| 	1.05| 
+| Lambda| 	300,000 requests/month, no GB-second cost included| 	(300,000 ÷ 1,000,000) × 0.20 = 0.06| 	0.06| 
+| DynamoDB| 	5 GB storage (within free tier), 1M writes, 2M reads| 	Writes: 1 × 0.625 = 0.625 Reads: 2 × 0.125 = 0.25	| 0.625 + 0.25 = 0.88| 
+| Total Estimated Cost| 		54.00 + 1.62 + 0.00 + 1.05 + 0.06 + 0.88| 	57.61| 
+
+Refer for current pricing:
+-   https://aws.amazon.com/amplify/pricing
+-   https://aws.amazon.com/cognito/pricing
+-   https://aws.amazon.com/bedrock/pricing
+-   https://aws.amazon.com/api-gateway/pricing
+-   https://aws.amazon.com/lambda/pricing
+-   https://aws.amazon.com/dynamodb/pricing/on-demand
+
+
+
 
 ## Prerequisites
 
-1. Make sure you have  [Python 3.9](https://www.python.org/) or greater installed on your local system. To install python and create virtual environment follow this article: https://repost.aws/knowledge-center/ec2-linux-python3-boto3 .
-2. Amazon Simple Storage Service (S3) bucket in same AWS account and AWS Region.
+[Python 3.9](https://www.python.org/) or greater
 
 ### AWS account requirements 
 -   You must have AWS account to deploy this solution.
--   [Amazon Simple Storage Service(S3) bucket](https://docs.aws.amazon.com/AmazonS3/latest/userguide/create-bucket-overview.html) to stage Lambda function dependency files.
+-   [Amazon Simple Storage Service(S3) bucket](https://docs.aws.amazon.com/AmazonS3/latest/userguide/create-bucket-overview.html) to stage Lambda function files and Amazon CloudFormation stack.
 -   In your AWS account, select your AWS Region and request access for Foundational Models _Amazon Nova Micro_ and _anthropic.claude-3.5-sonnet_ on Amazon Bedrock.
 
  ![Amazon Bedrock](images/Bedrock1.png)
@@ -87,24 +98,16 @@ _You are responsible for the cost of the AWS services used while running this Gu
     -   Create a GitHub fine-grained access token for the new repository by following [this guide](https://docs.aws.amazon.com/amplify/latest/userguide/setting-up-GitHub-access.html). Refer section **Generate a personal access token in your GitHub account**.
 
 
-2. Download AWS CloudFormation template [guidance-for-genai-assistant.yaml](src/assets/guidance-for-genai-assistant.yaml) from the GitHub repository to your local system.  
-
-3. Create new [Amazon CloudFromation stack](https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/cfn-console-create-stack.html) using above downloaded template.
+2. Download Amazon [Lambda function](src/assets/genai-assistant-lambda-function.zip) and [Amazon Lambda dependencies](src/assets/genai-assistant-backend_layer.zip) and upload to your Amazon S3 bucket in same AWS Region where you will deploy this solution.
+3. Download AWS CloudFormation template [guidance-for-genai-assistant.yaml](guidance-for-genai-assistant.yaml) from the GitHub repository to your local system. Update your Amazon S3 bucket name for Amazon Lambda function code and Lambda Layer.
 
- ![Amazon CloudFormation Output](images/CFN_Parameters.png)
-
-4. Once CloudFormation stack deployoed successfully, navigate to output tab and note Amazon Lambda Function name.
-
- ![Amazon CloudFormation Lambda Function](images/CFN_output_LambdaFunction.png) 
-
-5. Now to build Amazon Lambda function dependencies, download [requirements.txt](src/assets/requirements.txt) and [create_lambda_dependencies.sh](src/assets/create_lambda_dependencies.sh) files in same folder on your local system. Run
+   ```json
+   S3Bucket: <YOUR AMAZON S3 BUCKET NAME> 
+   ```
 
-```bash
-./create_lambda_dependencies.sh <your-Lambda-function-name> <your-S3-bucket-name>
-```
+4. Deploy updated CloudFormation template to deploy the solution.
 
-Example: 
-./create_lambda_dependencies.sh genai-assistant-function my-s3-bucket
+ ![Amazon CloudFormation Output](images/CFN_Parameters.png)
 
 
 
@@ -132,10 +135,6 @@ If the build does not start automatically, trigger it through the Amplify consol
 
 5. If you selected to run the frontend locally and connect to the deployed resources in AWS, use the CloudFormation stack outputs to verify deployed resources.
 
-6. Navigate to Amazon Lambda console, open lambda function deployed and verify Lambda layer is attached to the function
- 
- ![Amazon Lambda Layer](images/lambda_layer.png)
-
 
 
 ## Running the Guidance 
@@ -223,4 +222,4 @@ This library is licensed under the MIT-0 License. See the LICENSE file.
 
 ## Contribution
 
-This repository is intended for educational purposes and does not accept further contributions. Feel free to utilize and enhance the app based on your own requirements.
+This repository is intended for educational purposes and does not accept further contributions. Feel free to utilize and enhance the app based on your own requirements.